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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2025.1476345</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Discrete early maladaptive schema subgroups in remitted bipolar disorders: association with neuropsychological performance, residual symptoms, and psychosocial functioning</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>M&#x2019;Bailara</surname> <given-names>Katia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Munuera</surname> <given-names>Caroline</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Weil</surname> <given-names>Fran&#x00E7;ois</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<contrib contrib-type="author">
<name><surname>Passerieux</surname> <given-names>Christine</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
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<name><surname>Roux</surname> <given-names>Paul</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>University of Bordeaux, LabPsy</institution>, <addr-line>Bordeaux</addr-line>, <country>France</country></aff>
<aff id="aff2"><sup>2</sup><institution>R&#x00E9;seau des Centres Expert des Troubles Bipolaires, Fondation FondaMental</institution>, <addr-line>Cr&#x00E9;teil</addr-line>, <country>France</country></aff>
<aff id="aff3"><sup>3</sup><institution>P&#x00F4;le PGU, Centre Hospitalier Charles Perrens</institution>, <addr-line>Bordeaux</addr-line>, <country>France</country></aff>
<aff id="aff4"><sup>4</sup><institution>Centre Hospitalier de Versailles, Service Universitaire de Psychiatrie d&#x2019;Adulte et d&#x2019;Addictologie</institution>, <addr-line>Le Chesnay</addr-line>, <country>France</country></aff>
<aff id="aff5"><sup>5</sup><institution>Facult&#x00E9; de M&#x00E9;decine Paris-Saclay - Universit&#x00E9; Paris-Saclay</institution>, <addr-line>Le Kremlin Bicetre</addr-line>, <country>France</country></aff>
<aff id="aff6"><sup>6</sup><institution>UFR Simone Veil Sant&#x00E9;, Universit&#x00E9; de Versailles Saint-Quentin-En-Yvelines</institution>, <addr-line>Montigny-le-Bretonneux</addr-line>, <country>France</country></aff>
<aff id="aff7"><sup>7</sup><institution>DisAP - Moods - CESP, INSERM UMR1018</institution>, <addr-line>Villejuif</addr-line>, <country>France</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: Matteo Angelo Fabris, University of Turin, Italy</p></fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Danilo Assis Pereira, Brazilian Institute of Neuropsychology and Cognitive Sciences (IBNeuro), Brazil</p>
<p>Ulas Korkmaz, Giresun University, T&#x00FC;rkiye</p></fn>
<corresp id="c001">&#x002A;Correspondence: Katia M&#x2019;Bailara, <email>katia.mbailara@u-bordeaux.fr</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>03</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1476345</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>08</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 M&#x2019;Bailara, Munuera, Weil, Passerieux and Roux.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>M&#x2019;Bailara, Munuera, Weil, Passerieux and Roux</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Objectives</title>
<p>To better understand the disability and heterogeneity in terms of residual symptoms and psychosocial and cognitive functioning in bipolar disorders (BD), individual discrepancies in the activation of early maladaptive schemas (EMS) are relevant to investigate. This study aimed to identify activation profiles of EMS and to investigate the association between identified profiles and disability during euthymia.</p>
</sec>
<sec id="sec2">
<title>Design</title>
<p>This is a cross-sectional study.</p>
</sec>
<sec id="sec3">
<title>Methods</title>
<p>Clinical data, psychosocial functioning, neuropsychological performance and EMS were collected in euthymic outpatients with a BD. Clustering was performed on EMS activation, followed by inter-cluster comparisons on variables above using <italic>post-hoc</italic> tests. A multivariate regression was used to confirm associations between clusters and variables of interest by controlling for covariates.</p>
</sec>
<sec id="sec4">
<title>Results</title>
<p>Thanks to a person-oriented approach, our results showed three profiles of EMS: &#x201C;Hypoactivation,&#x201D; &#x201C;Light activation.&#x201D; and &#x201C;Major Hyperactivation.&#x201D; Individuals in the light and major hyper activated clusters had worse psychosocial functioning compared to individuals in the hypoactivated cluster. There were no differences in neuropsychological performance between the different profiles of EMS, thus suggesting the independence of these sources of variance in psychosocial functioning of individuals with BD.</p>
</sec>
<sec id="sec5">
<title>Conclusion</title>
<p>This paper highlights the importance of considering individual personality and functioning to better understand the heterogeneity in BD during euthymia. For some people, schema therapy seems particularly relevant due to the overactivation of EMS, and even more so because these people have particularly marked functional impairments and clinical severity.</p>
</sec>
</abstract>
<kwd-group>
<kwd>bipolar disorders</kwd>
<kwd>euthymia</kwd>
<kwd>early maladaptive schemas (EMS)</kwd>
<kwd>psychosocial functioning</kwd>
<kwd>residual symptoms</kwd>
<kwd>neuropsychological performance</kwd>
<kwd>clustering</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="9"/>
<equation-count count="0"/>
<ref-count count="99"/>
<page-count count="14"/>
<word-count count="11047"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Psychopathology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec6">
<label>1</label>
<title>Introduction</title>
<p>Bipolar disorder (BD) is a severe and persistant illness with high impact, even outside of manic or depressive episodes, ranked second in days out of role per year (<xref ref-type="bibr" rid="ref2">Alonso et al., 2011</xref>). A key issue in clinical practice is to identify personal factors associated with disability level (<xref ref-type="bibr" rid="ref76">Rosa et al., 2007</xref>; <xref ref-type="bibr" rid="ref37">Grande et al., 2013</xref>). Firstly, individuals with BD report a large number of residual symptoms, such as emotional dysregulation, disruption of circadian rhythms, cognitive complaints, guilt, low self-esteem and physical pain (<xref ref-type="bibr" rid="ref83">Samalin et al., 2014</xref>). Secondly, even in the euthymic phase, people also report a high level of functional impairment (<xref ref-type="bibr" rid="ref83">Samalin et al., 2014</xref>). There is not a single profile of functioning in individuals with BD (<xref ref-type="bibr" rid="ref79">Roux et al., 2017</xref>), highlighting heterogeneity in functioning during the euthymic period. It now appears crucial to understand what might explain such differences. Impaired functioning is closely related to residual depressive symptoms (<xref ref-type="bibr" rid="ref30">Fagiolini et al., 2005</xref>) and to deficits in neuropsychological performance (<xref ref-type="bibr" rid="ref79">Roux et al., 2017</xref>; <xref ref-type="bibr" rid="ref56">L&#x00E9;da-R&#x00EA;go et al., 2020</xref>).</p>
<p>Moreover, cognitive impairments are recurrent claims of people during euthymic phases. Subjective cognitive problems are reported by 2/3 of people with BD, particularly memory problems, attentional problems, and executive function problems (<xref ref-type="bibr" rid="ref61">Mart&#x00ED;nez-Ar&#x00E1;n et al., 2005</xref>). Objective neuropsychological impairments affect key cognitive dimensions, such as verbal memory, attention, processing speed, executive functions (<xref ref-type="bibr" rid="ref11">Bourne et al., 2013</xref>), social cognition with small to moderate deficits in theory of mind, small deficits in emotional recognition (<xref ref-type="bibr" rid="ref84">Samam&#x00E9; et al., 2015</xref>), and risky decision making (<xref ref-type="bibr" rid="ref36">Gorlyn et al., 2013</xref>). However, there is wide variation in the estimated prevalence of these deficits, ranging from 12.4% (<xref ref-type="bibr" rid="ref77">Roux et al., 2019</xref>) to 34% (<xref ref-type="bibr" rid="ref91">Tsapekos et al., 2021</xref>), or even 57.7% (<xref ref-type="bibr" rid="ref26">Eric et al., 2013</xref>). Some bipolar patients have global impairment, some having selective moderate impairment, and others have good cognitive performance (<xref ref-type="bibr" rid="ref79">Roux et al., 2017</xref>; <xref ref-type="bibr" rid="ref38">Green et al., 2020</xref>). Several determinants of these neuropsychological deficits have been explored to understand this heterogeneity but data remain insufficient. There is no consensus on the relationship between cognitive functioning and residual thymic symptoms. Residual depressive symptoms have been reported to have a negative effect on cognitive functioning in some studies (<xref ref-type="bibr" rid="ref11">Bourne et al., 2013</xref>), but not in others (<xref ref-type="bibr" rid="ref18">Cullen et al., 2016</xref>; <xref ref-type="bibr" rid="ref79">Roux et al., 2017</xref>).</p>
<p>It becomes important to better understand the basis of such a range of cognitive and functional impairments. Previous work has shown that personality is an important determinant of functioning in BD during euthymic phases (<xref ref-type="bibr" rid="ref50">Kizilkurt et al., 2018</xref>). Comorbid personality disorders are associated with a greater severity of residual thymic symptoms, even in remission (<xref ref-type="bibr" rid="ref34">George et al., 2003</xref>), as well as with a more negative course of the illness (<xref ref-type="bibr" rid="ref31">Fan and Hassell, 2008</xref>). Moreover, personality is modestly associated with neuropsychological performance in the general population (<xref ref-type="bibr" rid="ref7">Bartels et al., 2012</xref>; <xref ref-type="bibr" rid="ref8">Berggren and Derakshan, 2013</xref>; <xref ref-type="bibr" rid="ref85">Schaie et al., 2004</xref>). However, current research does not allow us to understand the link between personality and the heterogeneity of cognitive impairment associated with BD.</p>
<p>The personality approach proposed by Young&#x2019;s schema theory appears relevant by considering personality in relation to the person&#x2019;s developmental history. People exposed to adverse experiences in early childhood can develop &#x201C;Early Maladaptive Schemas&#x201D; (EMS) related to these experiences (<xref ref-type="bibr" rid="ref100">Young et al., 2003</xref>). These EMS emerge when the person&#x2019;s basic affective needs are not met. The five core emotional needs are:</p><list list-type="bullet">
<list-item>
<p>secure attachments to others (safety, stability, nurturance, and acceptance);</p>
</list-item>
<list-item>
<p>autonomy, competence, and sense of identity;</p>
</list-item>
<list-item>
<p>freedom to express valid needs and emotions;</p>
</list-item>
<list-item>
<p>spontaneity and play;</p>
</list-item>
<list-item>
<p>realistic limits and self-control.</p>
</list-item>
</list>
<p>The lack of satisfaction of needs is facilitated by the interaction between contextual (childhood adversity) and biological (temperament) factors. The different patterns are built during childhood and adolescence and are enhanced throughout life. An EMS is a recurring theme or dysfunctional pattern of information processing including beliefs, emotions, and memories about oneself, others and the world (<xref ref-type="bibr" rid="ref100">Young et al., 2003</xref>). To adapt to their EMS, individuals engage in dysfunctional behaviors. EMS impact various aspects of psychosocial functioning (<xref ref-type="bibr" rid="ref86">Scott and Crino, 2014</xref>).</p>
<p>The study of EMS is limited in individuals with BD. Young&#x2019;s model of Early Maladaptive Schemas (EMS) appears highly relevant in describing the experiences of individuals with bipolar disorder. According to studies, the prevalence of cumulative trauma ranges from 29% (<xref ref-type="bibr" rid="ref27">Etain et al., 2013</xref>) to 82% (<xref ref-type="bibr" rid="ref58">Li et al., 2014</xref>). Emotional trauma is reported in 77% of individuals with bipolar disorder (<xref ref-type="bibr" rid="ref002">Dualibe and Os&#x00F3;rio, 2017</xref>). Furthermore, the presence of cumulative childhood trauma is a factor associated with greater severity of bipolar disorder, including an earlier age of onset, longer episode duration, a higher number of mood episodes over a lifetime, an increased likelihood of psychotic features, and a higher probability of past suicide attempts (<xref ref-type="bibr" rid="ref58">Li et al., 2014</xref>; <xref ref-type="bibr" rid="ref80">Rowe et al., 2024</xref>). These findings strongly support the use of Young&#x2019;s schema theory, as confirmed by <xref ref-type="bibr" rid="ref19">Dadomo et al. (2016)</xref>. Theoretical frameworks suggest that early adverse experiences shape core cognitive patterns by fostering negative self-beliefs and distorted perceptions of others, which can lead to maladaptive coping mechanisms in adulthood. Such patterns may manifest as pervasive feelings of abandonment, mistrust, or worthlessness, influencing emotional regulation and behavior (<xref ref-type="bibr" rid="ref100">Young et al., 2003</xref>).This is further validated by a recent study that demonstrated connections between specific types of trauma and the activation of particular schemas (<xref ref-type="bibr" rid="ref70">&#x00D6;zdin et al., 2018</xref>). A recent literature review found that, compared to people without BD, those with BD have greater general activation of EMS, even if a specific pattern of schemas cannot be identified (<xref ref-type="bibr" rid="ref65">Munuera et al., 2020a</xref>). A study with Danish women with bipolar 1 disorder showed a high activation of the insufficient self-control EMS (<xref ref-type="bibr" rid="ref67">Nilsson et al., 2010</xref>). In different culture (Iran, Turkey), people with BD have higher activation for many EMS in comparison with a control group (<xref ref-type="bibr" rid="ref1">Ak et al., 2012</xref>; <xref ref-type="bibr" rid="ref48">Khosravi et al., 2017</xref>; <xref ref-type="bibr" rid="ref70">&#x00D6;zdin et al., 2018</xref>; <xref ref-type="bibr" rid="ref52">Korkmaz et al., 2024</xref>). But, differences are not observed on the same EMS. Such different results might be related to culture but also with study methodology. Most studies compared a group of people with BD to a control group, or to a group of people with unipolar disorder. Previous studies do not consider clinical heterogeneity by examining people with BD as a homogeneous group. It seems relevant to define homogeneous subgroups of individuals according to EMS types and explore if they differ on clinical or functional criteria. This is consistent with a personalized clinical approach (<xref ref-type="bibr" rid="ref87">Snyderman and Yoediono, 2006</xref>). A previous study showed that the activation of specific EMS clarifies the singularity of each remission profile in individuals with BD (<xref ref-type="bibr" rid="ref64">Munuera et al., 2020b</xref>). However to date, no study has proposed such a centered approach of EMS profiles related to a global description of clinical state during euthymic phase, including symptomatology, psychosocial functioning, and neuropsychological functioning. To the best of our knowledge, only one study has reported that the level of cognitive complaints in older adults with subjective cognitive decline was significantly associated with EMS in the &#x201C;Impaired autonomy, competence, and sense of identity&#x201D; domain, with a lack of significant correlation between EMS activation and objective performance in episodic memory (<xref ref-type="bibr" rid="ref89">Tandetnik et al., 2017</xref>). Relationships between EMS and neuropsychological performances remain to be explored in BD.</p>
<p>Several theoretical arguments suggest a link between EMS and cognitive and social functioning, for example because the impact of compensatory behaviors on social functioning, or because issues with cognitive and social functioning make people more prone to activation of EMS. The main objective of this study was to identify homogeneous profiles of people with BD in euthymic phase with respect to EMS activation, and to compare the different subgroups (clusters) with residual symptoms, psychosocial functioning, and neuropsychological performance. We hypothesize that more residual depressive symptoms and more psychosocial and cognitive functioning impairment would be found in subtypes with the highest activation of EMS. This study has several implications for clinical practice. In particular, if the results support the hypotheses, they could improve therapeutic recommendations. For example, one perspective is to highlight the relevance of referring patients to functional remediation for cognitive impairment (<xref ref-type="bibr" rid="ref9">Bonnin et al., 2016</xref>) and/or schema therapy (<xref ref-type="bibr" rid="ref19">Dadomo et al., 2016</xref>; <xref ref-type="bibr" rid="ref69">Ociskova et al., 2022</xref>). These different interventions have shown relevant results, and the aim now is to establish them as tools to enhance personalized psychiatry.</p>
</sec>
<sec sec-type="materials|methods" id="sec7">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec8">
<label>2.1</label>
<title>Study design and recruitment</title>
<p>This was a transversal study including patients recruited from the FACE-BD (FondaMental Advanced Centers of Expertise for Bipolar Disorders) cohort within the BD Expert Center of Versailles. The BD Expert Centers were set up by the Fondation FondaMental,<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> funded by the French Ministry of Research and the French Ministry of Health to build an infrastructure and provide resources to follow clinical cohorts. This cohort has been extensively described in a previous paper (<xref ref-type="bibr" rid="ref41">Henry et al., 2015</xref>).</p>
<p>For this study, all procedures complied with the ethical standards of the national and institutional committees on human experimentation and the 1975 Declaration of Helsinki (Article 20), revised in 2008. The study was approved by the local ethics committee (Comit&#x00E9; de Protection des Personnes &#x00CE;le de France IX) on January 18, 2010, under French laws on non-interventional studies (observational studies without risk, constraint, or additional or unusual procedures regarding diagnosis, treatment or follow-up). All patients were given an informational letter but waived the requirement for written informed consent. Verbal consent was witnessed and formally recorded. Regarding the procedure, all measrures were performed during the assessment at the expert center.</p>
</sec>
<sec id="sec9">
<label>2.2</label>
<title>Participants</title>
<p>Inclusion criteria were to be between 18 and 65&#x202F;years old and to be outpatients with bipolar I or bipolar II disorder or not otherwise specified bipolar disorder (NOS). BD was diagnosed via the Structured Clinical Interview for DSM-IV-TR Axis I Disorders (SCID-I/P; <xref ref-type="bibr" rid="ref003">First, 2002</xref>) by trained professional clinicians. Exclusion criteria were a history of neurological or sensory disorders, dyslexia, dysorthographia, dyscalculia, dysphasia, dyspraxia, language delay, substance use disorders in the previous month, and electroconvulsive therapy in the previous year. Non-inclusion criteria were to be in acute depressive or manic episode according to the DSM-IV-TR criteria (<xref ref-type="bibr" rid="ref3">APA, 2000</xref>). Euthymic phase at the time of testing was also confirmed according to the DSM-IV-TR criteria (<xref ref-type="bibr" rid="ref3">APA, 2000</xref>), with a cut-off score of 10 on both the Montgomery-Asberg Depression Rating Scale (MADRS; <xref ref-type="bibr" rid="ref63">Montgomery and &#x00C5;sberg, 1979</xref>) and the Young Mania Rating Scale (YMRS; <xref ref-type="bibr" rid="ref99">Young et al., 1978</xref>).</p>
</sec>
<sec id="sec10">
<label>2.3</label>
<title>Measurement</title>
<sec id="sec11">
<label>2.3.1</label>
<title>Sociodemographic data and clinical assessment</title>
<p>Four socio-demographic characteristics were collected: age, gender, marital status, and education level (measured in years).</p>
<p>To characterize disorder severity, we collected the age at onset, the number of previous episodes (mixed, hypomanic, manic, and depressive), the subtype of BD (type I or non-type I including type II and not otherwise specified), history of psychotic symptoms (present/absent) and history of substance use disorder (present/absent). We also specified the predominant mood polarity (3 levels: manic, depressive or indeterminate valence), the presence or absence of rapid cycling, the presence or absence of complete remission between episodes, and the time elapsed since the end of the last characterized mood episode (more/&#x003C;3months).</p>
<p>The severity of the current clinical condition was assessed by the Clinical Global Impression scale (CGI) severity score (<xref ref-type="bibr" rid="ref13">Busner and Targum, 2007</xref>), on a scale from 1 (&#x201C;normal&#x201D;) to 7 (&#x201C;among the most ill patients&#x201D;). We used a yes/no format to record whether the patient was taking lithium, mood stabilizer anticonvulsants, antipsychotics, antidepressants or anxiolytics at the time of assessment. The presence of childhood trauma was assessed with the Childhood Trauma Questionnaire (CTQ) (<xref ref-type="bibr" rid="ref71">Paquette et al., 2004</xref>).</p>
<p>Symptomatology at the time of assessment was measured by the MADRS depression (<xref ref-type="bibr" rid="ref63">Montgomery and &#x00C5;sberg, 1979</xref>) score and the YMRS mania score (Young Mania Rating Scale, <xref ref-type="bibr" rid="ref99">Young et al., 1978</xref>). The state of anxiety at the time of the assessment was measured with the State&#x2013;Trait Anxiety Inventory (STAI) (<xref ref-type="bibr" rid="ref47">Julian, 2011</xref>).</p>
</sec>
<sec id="sec12">
<label>2.3.2</label>
<title>Early maladaptive schemas (EMS)</title>
<p>The Young Schema Questionnaire-Short Form 3 (YSQ-S3) was used to assess EMS. This self-report questionnaire includes 90 items rated on a 6-point scale ranging from 1 (&#x201C;completely untrue of me&#x201D;) to 6 (&#x201C;describes me perfectly&#x201D;) (<xref ref-type="bibr" rid="ref98">Young, 2005</xref>).</p>
<p>There are 18 EMS assessed, divided into 5 domains:</p><list list-type="order">
<list-item>
<p>Disconnection and Rejection (abandonment; mistrust/abuse; emotional deprivation; defectiveness/shame; social isolation)</p>
</list-item>
<list-item>
<p>Impaired Autonomy and Achievement (dependency/incompetency; vulnerability to harm/illness; enmeshment/undeveloped self; failure)</p>
</list-item>
<list-item>
<p>Impaired Limits (entitlement/grandiosity; lack of self-control/self-discipline)</p>
</list-item>
<list-item>
<p>Other-directedness (subjugation; self-sacrifice; approval/recognition-seeking)</p>
</list-item>
<list-item>
<p>Hypervigilance and Inhibition (negativity/pessimism; emotional inhibition; unrelenting standards; punitiveness)</p>
</list-item>
</list>
<p>This tool has demonstrated adequate validity and reliability in an adult sample with and without mental illness (<xref ref-type="bibr" rid="ref12">Bouvard et al., 2018</xref>). The average individual scores on each schema were transformed into standardized scores relative to the norm (<xref ref-type="bibr" rid="ref12">Bouvard et al., 2018</xref>).</p>
</sec>
<sec id="sec13">
<label>2.3.3</label>
<title>Functional outcomes</title>
<p>Psychosocial functioning was assessed by the Functioning Assessment Short Test (FAST; <xref ref-type="bibr" rid="ref76">Rosa et al., 2007</xref>), an interviewer-administered instrument. It assesses the functional impairment of patients in six functioning areas through 24 items: autonomy, occupational functioning, cognitive functioning, financial issues, interpersonal relationships, and leisure time. Each item is rated on a 0&#x2013;3 scale (0&#x202F;=&#x202F;no difficulty; 3&#x202F;=&#x202F;severe difficulty). The higher the score, the higher the psychosocial impairment. Participants were also evaluated on the Global Assessment of Functioning scale (GAF), scored from 0 (high global impaired functioning) to 100 (good global functioning) (<xref ref-type="bibr" rid="ref46">Jones et al., 1995</xref>).</p>
<p>Finally, health-related quality of life was assessed with the EuroQol-5 Dimension (EQ-5D-3L). The EQ-5D-3L is a preference-based measure developed to describe and evaluate health across a wide range of disease areas (<xref ref-type="bibr" rid="ref29">EuroQol Group, 1990</xref>). It is based on one question for each of the five dimensions including mobility, self-care, usual activities, pain/discomfort, and anxiety/depression (<xref ref-type="bibr" rid="ref5">Balestroni and Bertolotti, 2012</xref>). Each dimension has three levels: no problems, some problems, and extreme problems. EQ-5D health states were converted into a single summary number, the index value obtained with the time trade-off &#x00E9;valuation technique (<xref ref-type="bibr" rid="ref15">Chevalier and de Pouvourville, 2013</xref>). It reflects how good or bad a health state is according to the preferences of the general population of a country/region.</p>
</sec>
<sec id="sec14">
<label>2.3.4</label>
<title>Neuropsychological assessment</title>
<p>Neuropsychologists administered the tests in a systematic order. The tests lasted a total of 120&#x202F;min, including breaks of 5&#x2013;10&#x202F;min. The test battery selected was in accordance with the recommendations of the International Society for Bipolar Disorders (ISBD; <xref ref-type="bibr" rid="ref97">Yatham et al., 2010</xref>), consisting of 11 tests that assess six cognitive domains: verbal memory, working memory, executive functions, processing speed, attention, and reasoning. Verbal memory was assessed by the California Verbal Learning Test (CVLT) (<xref ref-type="bibr" rid="ref96">Woods et al., 2006</xref>). Working memory was assessed by the Digit Memory subtest of the WAIS-III (<xref ref-type="bibr" rid="ref93">Wechsler, 1997a</xref>) and the Visual&#x2013;Spatial span of the WMS-III (Wechsler Memory Scale - 3rd edition; <xref ref-type="bibr" rid="ref95">Wechsler, 2001</xref>). Executive functions were assessed by the TMT-B (Trail Making Test - Part B), the Stroop Word and Color Test, and the Verbal Fluency Test (<xref ref-type="bibr" rid="ref73">Reitan, 1958</xref>; <xref ref-type="bibr" rid="ref57">Lezak et al., 2004</xref>). Processing speed was assessed by the WAIS-III Codes and Symbols subtests, the Stroop test, and the TMT-A (Trail Making Test - Part A). Attention was assessed by the CPT-II (Conners&#x2019; Continuous Performance Test - 2nd edition; <xref ref-type="bibr" rid="ref16">Conners, 2000</xref>). Finally, reasoning was assessed by the Vocabulary and Matrices subtests of the WAIS-III (<xref ref-type="bibr" rid="ref94">Wechsler, 1997b</xref>). Raw scores were transformed into normatively corrected standardized z-scores. Higher scores reflect better performance. We calculated a mean score for each of the six cognitive domains, as the average of the z-scores for each measure within a domain.</p>
</sec>
</sec>
<sec id="sec15">
<label>2.4</label>
<title>Statistical analysis</title>
<p>R software was used to perform statistical analyses (<xref ref-type="bibr" rid="ref72">R Core Team, 2019</xref>). A hierarchical ascendant cluster analysis was conducted to identify homogeneous groups of people with BD based on the activation of the 18 EMS. We used Ward&#x2019;s minimum variance as a linking criterion. The optimal number of clusters was determined by visual inspection of the dendrogram, the D-index method (<xref ref-type="bibr" rid="ref55">Lebart et al., 2000</xref>) and Hubert&#x2019;s method (<xref ref-type="bibr" rid="ref42">Hubert and Arabie, 1985</xref>). Discriminant analysis was performed to test the validity of the clusters (Wilks&#x2019; lambda test for canonical correlations, with Rao approximation) (<xref ref-type="bibr" rid="ref60">Mardia et al., 1979</xref>).</p>
<p>Multivariate analysis of variance (MANOVA) with a Wilks test was used to test for differences in EMS activation between clusters. <italic>Post-hoc</italic> pairwise comparisons were performed when necessary to identify differences between two clusters for a specific EMS, with a correction for multiple comparisons using the false discovery rate procedure (<xref ref-type="bibr" rid="ref001">Benjamini and Hochberg, 1995</xref>).</p>
<p>To determine whether clusters differed for sociodemographic, clinical, neuropsychological, and functional variables, we performed a succession of <italic>&#x03C7;</italic><sup>2</sup> tests and ANOVAs. Pairwise <italic>post-hoc</italic> comparisons were performed when necessary to identify differences between two clusters for each variable, using again the false discovery rate procedure for multiple comparison correction.</p>
<p>Finally, to determine whether the effect of clusters on our variables of interest (residual depressive symptoms, psychosocial functioning, and neuropsychological performance) remained statistically significant after controlling for all covariates, we performed several multiple regressions. First, missing data were estimated using multiple imputations (50 imputations) by Markoff chain equations with the MICE function (<xref ref-type="bibr" rid="ref92">Van Buuren and Groothuis-Oudshoorn, 2011</xref>). Next, we selected as dependent variables the cognitive and functioning measures that were significantly associated with EMS cluster type in the bivariable analyses described above. Then we selected as covariates of interest those that were associated with cluster type with a <italic>p</italic>&#x202F;&#x003C;&#x202F;0.2 in the bivariable analyses described above.</p>
</sec>
</sec>
<sec sec-type="results" id="sec16">
<label>3</label>
<title>Results</title>
<sec id="sec17">
<label>3.1</label>
<title>Participants</title>
<p>This study included 111 participants. Overall, 55.9% of the sample was female. The mean age was 39.6 (&#x00B1;11.6), 56% of the sample had a marital partner; 39.6% suffered from bipolar II disorder or NOS and 60.4% suffered from bipolar I disorder (see <xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Sociodemographic and clinical characteristics of the sample.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Mean (SD)/Percentage</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="4">Sociodemographic data</td>
<td align="left" valign="top">Age (years)</td>
<td align="center" valign="top">39.6 (11.6)</td>
</tr>
<tr>
<td align="left" valign="top">Gender (male)</td>
<td align="center" valign="top">44.1%</td>
</tr>
<tr>
<td align="left" valign="top">Educational level (years)</td>
<td align="center" valign="top">14.8 (2.3)</td>
</tr>
<tr>
<td align="left" valign="top">Marital status</td>
<td align="center" valign="top">56%</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="13">Clinical characteristics of bipolar disorder</td>
<td align="left" valign="top">BP1</td>
<td align="center" valign="top">39.6%</td>
</tr>
<tr>
<td align="left" valign="top">Total number of thymic episodes</td>
<td align="center" valign="top">8.4 (8.8)</td>
</tr>
<tr>
<td align="left" valign="top">Predominant manic valence</td>
<td align="center" valign="top">16.7%</td>
</tr>
<tr>
<td align="left" valign="top">Predominant depressive valence</td>
<td align="center" valign="top">36.9%</td>
</tr>
<tr>
<td align="left" valign="top">Undetermined valence</td>
<td align="center" valign="top">47.4%</td>
</tr>
<tr>
<td align="left" valign="top">Age of onset (years)</td>
<td align="center" valign="top">22.8 (7.7)</td>
</tr>
<tr>
<td align="left" valign="top">Psychotic features</td>
<td align="center" valign="top">24.7%</td>
</tr>
<tr>
<td align="left" valign="top">Rapid cycling</td>
<td align="center" valign="top">7.7%</td>
</tr>
<tr>
<td align="left" valign="top">Complete remission between episodes</td>
<td align="center" valign="top">74.8%</td>
</tr>
<tr>
<td align="left" valign="top">CGI</td>
<td align="center" valign="top">4.5 (0.7)</td>
</tr>
<tr>
<td align="left" valign="top">MADRS</td>
<td align="center" valign="top">4.2 (3.2)</td>
</tr>
<tr>
<td align="left" valign="top">YMRS</td>
<td align="center" valign="top">2.1 (2.8)</td>
</tr>
<tr>
<td align="left" valign="top">End of last episode &#x003E;3&#x202F;months</td>
<td align="center" valign="top">76.1%</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Treatments</td>
<td align="left" valign="top">Antidepressant</td>
<td align="center" valign="top">21.6%</td>
</tr>
<tr>
<td align="left" valign="top">Anticonvulsant thymoregulators</td>
<td align="center" valign="top">26.1%</td>
</tr>
<tr>
<td align="left" valign="top">Lithium</td>
<td align="center" valign="top">14.4%</td>
</tr>
<tr>
<td align="left" valign="top">Antipsychotic</td>
<td align="center" valign="top">16.2%</td>
</tr>
<tr>
<td align="left" valign="top">Anxiolytic</td>
<td align="center" valign="top">16.2%</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Psychosocial markers of functioning</td>
<td align="left" valign="top">FAST (psychosocial functioning)</td>
<td align="center" valign="top">14.5 (10.6)</td>
</tr>
<tr>
<td align="left" valign="top">GAF</td>
<td align="center" valign="top">64.6 (12.1)</td>
</tr>
<tr>
<td align="left" valign="top">Work</td>
<td align="center" valign="top">71.7%</td>
</tr>
<tr>
<td align="left" valign="top">Independent housing</td>
<td align="center" valign="top">75.2%</td>
</tr>
<tr>
<td align="left" valign="top">EQ-5D</td>
<td align="center" valign="top">0.8 (0.2)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Other clinical characteristics</td>
<td align="left" valign="top">CTQ</td>
<td align="center" valign="top">41.8 (13.7)</td>
</tr>
<tr>
<td align="left" valign="top">STAI-YA</td>
<td align="center" valign="top">38 (13.1)</td>
</tr>
<tr>
<td align="left" valign="top">Substance use disorder (lifetime)</td>
<td align="center" valign="top">17.8%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>SD, standard deviation; BP1, Bipolar Disorder type 1; CGI, Clinical Global Impression scale; MADRS, Montgomery-&#x00C5;sberg Depression Rating Scale; YMRS, Young Mania Rating Scale; FAST, Functioning Assessment Short Test; GAF, Global Assessement Functioning; EQ-5D, EuroQol-5D: quality of life; CTQ, Childhood Trauma Questionnaire: childhood trauma score; STAI forme YA, State Anxiety Inventory forme YA.</p>
</table-wrap-foot>
</table-wrap>
<p>The average age of onset of the disorder was 22.8&#x202F;years. Participants reported an average of 8.4 episodes, and nearly 1 in 4 patients (24.7%) had psychotic symptoms during episodes (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<p>The average STAI-YA was 38 (&#x00B1;13.1), corresponding to a moderate level of anxiety.</p>
</sec>
<sec id="sec18">
<label>3.2</label>
<title>Early maladaptive schemas (EMS)</title>
<p>Cronbach&#x2019;s <italic>&#x03B1;</italic> internal consistencies for each schema are reported in <xref ref-type="table" rid="tab2">Table 2</xref>. The sample was characterized by an average hyperactivation of EMS (0.30 SD&#x202F;&#x00B1;&#x202F;0.27). The most hyperactivated EMS were emotional deprivation (0.80 SD&#x202F;&#x00B1;&#x202F;1.39) and defectiveness/shame (0.75 SD&#x202F;&#x00B1;&#x202F;1.57). The lowest activations were found for the EMS mistrust/abuse (&#x2212;0.04 SD&#x202F;&#x00B1;&#x202F;1.11), failure (0.05 SD&#x202F;&#x00B1;&#x202F;1.1), vulnerability to harm/disease (&#x2212;0.16 SD&#x202F;&#x00B1;&#x202F;1.04) and emotional inhibition (0.01 SD&#x202F;&#x00B1;&#x202F;0.95).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Internal consistency metrics (Cronbach&#x2019;s &#x03B1;) for the YSQ-S3 subscales.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">EMS</th>
<th align="center" valign="top">Alpha de Cronbach</th>
<th align="center" valign="top">CI lower</th>
<th align="center" valign="top">CI upper</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Emotional deprivation</td>
<td align="center" valign="top">0.74</td>
<td align="center" valign="top">0.65</td>
<td align="center" valign="top">0.81</td>
</tr>
<tr>
<td align="left" valign="top">Abandonment/Instability</td>
<td align="center" valign="top">0.82</td>
<td align="center" valign="top">0.76</td>
<td align="center" valign="top">0.87</td>
</tr>
<tr>
<td align="left" valign="top">Mistrust/Abuse</td>
<td align="center" valign="top">0.81</td>
<td align="center" valign="top">0.75</td>
<td align="center" valign="top">0.86</td>
</tr>
<tr>
<td align="left" valign="top">Social isolation/Alienation</td>
<td align="center" valign="top">0.84</td>
<td align="center" valign="top">0.79</td>
<td align="center" valign="top">0.89</td>
</tr>
<tr>
<td align="left" valign="top">Defectiveness/Shame</td>
<td align="center" valign="top">0.88</td>
<td align="center" valign="top">0.84</td>
<td align="center" valign="top">0.91</td>
</tr>
<tr>
<td align="left" valign="top">Failure</td>
<td align="center" valign="top">0.85</td>
<td align="center" valign="top">0.8</td>
<td align="center" valign="top">0.89</td>
</tr>
<tr>
<td align="left" valign="top">Dependence/Incompetence</td>
<td align="center" valign="top">0.74</td>
<td align="center" valign="top">0.65</td>
<td align="center" valign="top">0.81</td>
</tr>
<tr>
<td align="left" valign="top">Vulnerability to harm or illness</td>
<td align="center" valign="top">0.72</td>
<td align="center" valign="top">0.62</td>
<td align="center" valign="top">0.79</td>
</tr>
<tr>
<td align="left" valign="top">Enmeshment/undeveloped self</td>
<td align="center" valign="top">0.58</td>
<td align="center" valign="top">0.44</td>
<td align="center" valign="top">0.69</td>
</tr>
<tr>
<td align="left" valign="top">Entitlement/Grandiosity</td>
<td align="center" valign="top">0.62</td>
<td align="center" valign="top">0.49</td>
<td align="center" valign="top">0.72</td>
</tr>
<tr>
<td align="left" valign="top">Insufficient self-control/Self-discipline</td>
<td align="center" valign="top">0.73</td>
<td align="center" valign="top">0.64</td>
<td align="center" valign="top">0.8</td>
</tr>
<tr>
<td align="left" valign="top">Subjugation</td>
<td align="center" valign="top">0.79</td>
<td align="center" valign="top">0.72</td>
<td align="center" valign="top">0.85</td>
</tr>
<tr>
<td align="left" valign="top">Self-sacrifice</td>
<td align="center" valign="top">0.76</td>
<td align="center" valign="top">0.69</td>
<td align="center" valign="top">0.83</td>
</tr>
<tr>
<td align="left" valign="top">Approval-seeking/Recognition-seeking</td>
<td align="center" valign="top">0.69</td>
<td align="center" valign="top">0.59</td>
<td align="center" valign="top">0.77</td>
</tr>
<tr>
<td align="left" valign="top">Emotional inhibition</td>
<td align="center" valign="top">0.79</td>
<td align="center" valign="top">0.72</td>
<td align="center" valign="top">0.84</td>
</tr>
<tr>
<td align="left" valign="top">Unrelenting standards/Hypercriticalness</td>
<td align="center" valign="top">0.51</td>
<td align="center" valign="top">0.34</td>
<td align="center" valign="top">0.64</td>
</tr>
<tr>
<td align="left" valign="top">Negativity/Pessimism</td>
<td align="center" valign="top">0.78</td>
<td align="center" valign="top">0.71</td>
<td align="center" valign="top">0.84</td>
</tr>
<tr>
<td align="left" valign="top">Punitiveness</td>
<td align="center" valign="top">0.69</td>
<td align="center" valign="top">0.59</td>
<td align="center" valign="top">0.77</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>YSQ, Young Schemas Questionnaire; EMS, Early Maladaptive Schemas; CI, confidence interval.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec19">
<label>3.3</label>
<title>Functional outcomes</title>
<p>The mean global disease severity score for the sample was 4.5 (&#x00B1; 0.7) (between &#x201C;moderately ill&#x201D; and &#x201C;obviously ill&#x201D;). The mean GAF functioning score was 64.6 (&#x00B1; 12.1) (some mild symptoms). The mean FAST score (psychosocial functioning) was 14.5 (&#x00B1; 10.6). The mean quality of life score was 0.82 (&#x00B1; 0.18), which was below scores reported in the general French population (ranging from 0.95 in the 18&#x2013;24&#x202F;years old class to 0.85 in the 55&#x2013;64&#x202F;years old class; <xref ref-type="bibr" rid="ref45">Janssen et al., 2019</xref>).</p>
</sec>
<sec id="sec20">
<label>3.4</label>
<title>Neuropsychological assessment</title>
<p>Lower cognitive performance was found for attention (&#x2212;0.45 SD) and higher for reasoning (0.68 SD) and verbal memory (0.59 SD). Working memory (&#x2212;0.02 SD) and processing speed (0.07 SD) were close to the norm (see <xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Standardized mean neuropsychological performance scores of the sample.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Function</th>
<th align="left" valign="top">Test</th>
<th align="left" valign="top">Variable (Test)</th>
<th align="center" valign="top">Mean (SD)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="5">Verbal memory</td>
<td/>
<td/>
<td align="center" valign="top">0.59 (0.81)</td>
</tr>
<tr>
<td align="left" valign="top">CVLT</td>
<td align="left" valign="top">Immediate recall</td>
<td align="center" valign="top">0.82 (1.19)</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Short delay free recall</td>
<td align="center" valign="top">0.49 (1.08)</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Long delay free recall</td>
<td align="center" valign="top">0.50 (1.05)</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Total recognition</td>
<td align="center" valign="top">0.54 (0.39)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Working memory</td>
<td/>
<td/>
<td align="center" valign="top">&#x2212;0.02 (0.68)</td>
</tr>
<tr>
<td align="left" valign="top">Digit span &#x2013; WAIS-III</td>
<td align="left" valign="top">Forward and backward</td>
<td align="center" valign="top">&#x2212;0.06 (0.89)</td>
</tr>
<tr>
<td align="left" valign="top">Spatial span &#x2013; WMS-III</td>
<td align="left" valign="top">Forward</td>
<td align="center" valign="top">&#x2212;0.01 (0.95)</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Backward</td>
<td align="center" valign="top">0.02 (0.79)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Executive functions</td>
<td/>
<td/>
<td align="center" valign="top">0.01 (0.79)</td>
</tr>
<tr>
<td align="left" valign="top">Trail making test</td>
<td align="left" valign="top">Part B</td>
<td align="center" valign="top">0.12 (1.22)</td>
</tr>
<tr>
<td align="left" valign="top">Stroop test</td>
<td align="left" valign="top">Word and color</td>
<td align="center" valign="top">0.25 (0.99)</td>
</tr>
<tr>
<td align="left" valign="top">Verbal fluency</td>
<td align="left" valign="top">Lexical</td>
<td align="center" valign="top">0.02 (1.01)</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Cat&#x00E9;goriel</td>
<td align="center" valign="top">&#x2212;0.33 (0.98)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="6">Processing speed</td>
<td/>
<td/>
<td align="center" valign="top">0.07 (0.66)</td>
</tr>
<tr>
<td align="left" valign="top">WAIS-III</td>
<td align="left" valign="top">Coding</td>
<td align="center" valign="top">0.00 (1.01)</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Symbols</td>
<td align="center" valign="top">0.00 (0.94)</td>
</tr>
<tr>
<td align="left" valign="top">Test de Stroop</td>
<td align="left" valign="top">Color</td>
<td align="center" valign="top">0.00 (0.73)</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Word</td>
<td align="center" valign="top">0.00 (0.81)</td>
</tr>
<tr>
<td align="left" valign="top">TMT</td>
<td align="left" valign="top">Part A</td>
<td align="center" valign="top">0.00 (0.69)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Attention</td>
<td/>
<td/>
<td align="center" valign="top">&#x2212;0.45 (0.63)</td>
</tr>
<tr>
<td align="left" valign="top">CPT-II</td>
<td align="left" valign="top">Omissions</td>
<td align="center" valign="top">&#x2212;0.91 (1.14)</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Commissions</td>
<td align="center" valign="top">&#x2212;0.38 (1.12)</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Variability</td>
<td align="center" valign="top">&#x2212;0.13 (1.05)</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Detectability</td>
<td align="center" valign="top">&#x2212;0.36 (1.00)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Reasoning</td>
<td/>
<td/>
<td align="center" valign="top">0.68 (0.70)</td>
</tr>
<tr>
<td align="left" valign="top">WAIS-III</td>
<td align="left" valign="top">Vocabulary</td>
<td align="center" valign="top">0.96 (0.88)</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Matrix reasoning</td>
<td align="center" valign="top">0.50 (0.79)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>SD, Standard deviation; CVLT, California verbal learning test; WMS, Wechsler memory scale; TMT, Trail making test; CPT-II, Conners&#x2019; continuous performance test II.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec21">
<label>3.5</label>
<title>Results of cluster analysis</title>
<p>Using cluster analysis, 3 profiles were identified. The discriminant analysis revealed the presence of two discriminant factors, explaining, respectively, 91.4 and 8.6% of the discriminant power in cluster membership (trace proportion). For the first function, Wilks&#x2019; <italic>&#x03BB;</italic> was 0.10 [<italic>F</italic>(36, 182)&#x202F;=&#x202F;10.8, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001] and for the second function, Wilks&#x2019; &#x03BB; was 0.66 [<italic>F</italic>(17, 92)&#x202F;=&#x202F;7.5, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001]. A total of 96.4% of participants were correctly classified according to these two discriminant functions. The two EMS most strongly correlating with the first discriminant function were subjugation (Pearson correlation coefficient <italic>r</italic>&#x202F;=&#x202F;0.87) and defectiveness/shame (<italic>r</italic>&#x202F;=&#x202F;0.81). The EMS most strongly correlating with the second discriminant function was approval/recognition-seeking (<italic>r</italic>&#x202F;=&#x202F;0.45) (see <xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Profiles of Early Maladaptive Schemas in bipolar euthymics patient.</p>
</caption>
<graphic xlink:href="fpsyg-16-1476345-g001.tif"/>
</fig>
<p>Mean EMS activations per cluster and statistics for pairwise comparisons are summarized in <xref ref-type="table" rid="tab4">Tables 4</xref>, <xref ref-type="table" rid="tab5">5</xref>. The first cluster was composed of 40.5% of the sample (n&#x202F;=&#x202F;45). In this cluster, 12 out of 18 EMS were hypoactivated. This cluster was named <italic>Hypoactivation</italic>.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Main effects of EMS cluster membership on sociodemographic and clinical variables.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Statistic</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="middle"><italic>F</italic>(2, 108)&#x202F;=&#x202F;2.4</td>
<td align="center" valign="top">0.098</td>
</tr>
<tr>
<td align="left" valign="top">Gender (percentage of male)</td>
<td align="center" valign="middle">X<sup>2</sup>(2)&#x202F;=&#x202F;1.2</td>
<td align="center" valign="top">0.543</td>
</tr>
<tr>
<td align="left" valign="top">Educational level (years)</td>
<td align="center" valign="middle"><italic>F</italic>(2, 107)&#x202F;=&#x202F;0.5</td>
<td align="center" valign="top">0.623</td>
</tr>
<tr>
<td align="left" valign="top">Bipolar 1 disorder</td>
<td align="center" valign="middle">X<sup>2</sup>(2)&#x202F;=&#x202F;5.9</td>
<td align="center" valign="top">0.051</td>
</tr>
<tr>
<td align="left" valign="top">Number of episodes</td>
<td align="center" valign="middle"><italic>F</italic>(2, 75)&#x202F;=&#x202F;0.4</td>
<td align="center" valign="top">0.704</td>
</tr>
<tr>
<td align="left" valign="top">Manic episodes predominant</td>
<td align="center" valign="middle">X<sup>2</sup>(4)&#x202F;=&#x202F;7.7</td>
<td align="center" valign="top">0.102</td>
</tr>
<tr>
<td align="left" valign="top">Age of onset</td>
<td align="center" valign="middle"><italic>F</italic>(2, 104)&#x202F;=&#x202F;3.1</td>
<td align="center" valign="top">0.051</td>
</tr>
<tr>
<td align="left" valign="top">Psychotic symptoms</td>
<td align="center" valign="middle">X<sup>2</sup>(2)&#x202F;=&#x202F;1.4</td>
<td align="center" valign="top">0.485</td>
</tr>
<tr>
<td align="left" valign="top">Rapid cycling</td>
<td align="center" valign="middle">X<sup>2</sup>(2)&#x202F;=&#x202F;1.2</td>
<td align="center" valign="top">0.542</td>
</tr>
<tr>
<td align="left" valign="top">Full remission between episodes</td>
<td align="center" valign="middle">X<sup>2</sup>(2)&#x202F;=&#x202F;3</td>
<td align="center" valign="top">0.226</td>
</tr>
<tr>
<td align="left" valign="top">CGI</td>
<td align="center" valign="middle"><italic>F</italic>(2, 108)&#x202F;=&#x202F;3.1</td>
<td align="center" valign="top">0.048&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">MADRS</td>
<td align="center" valign="middle"><italic>F</italic>(2, 108)&#x202F;=&#x202F;2.4</td>
<td align="center" valign="top">0.095</td>
</tr>
<tr>
<td align="left" valign="top">YMRS</td>
<td align="center" valign="middle"><italic>F</italic>(2, 108)&#x202F;=&#x202F;0.6</td>
<td align="center" valign="top">0.555</td>
</tr>
<tr>
<td align="left" valign="top">End of last episode &#x003E;3&#x202F;months</td>
<td align="center" valign="middle">X<sup>2</sup>(2)&#x202F;=&#x202F;7.8</td>
<td align="center" valign="top">0.021&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Antidepressant</td>
<td align="center" valign="middle">X<sup>2</sup>(2)&#x202F;=&#x202F;0.1</td>
<td align="center" valign="top">0.939</td>
</tr>
<tr>
<td align="left" valign="top">Anticonvulsant</td>
<td align="center" valign="middle">X<sup>2</sup>(2)&#x202F;=&#x202F;0.9</td>
<td align="center" valign="top">0.646</td>
</tr>
<tr>
<td align="left" valign="top">Lithium</td>
<td align="center" valign="middle">X<sup>2</sup>(2)&#x202F;=&#x202F;4</td>
<td align="center" valign="top">0.135</td>
</tr>
<tr>
<td align="left" valign="top">Antipsychotic</td>
<td align="center" valign="middle">X<sup>2</sup>(2)&#x202F;=&#x202F;3.8</td>
<td align="center" valign="top">0.15</td>
</tr>
<tr>
<td align="left" valign="top">Anxiolytic</td>
<td align="center" valign="middle">X<sup>2</sup>(2)&#x202F;=&#x202F;1.7</td>
<td align="center" valign="top">0.428</td>
</tr>
<tr>
<td align="left" valign="top">CTQ (trauma)</td>
<td align="center" valign="middle"><italic>F</italic>(2, 108)&#x202F;=&#x202F;6.8</td>
<td align="center" valign="top">0.002&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">STAI form YA (anxiety)</td>
<td align="center" valign="middle"><italic>F</italic>(2, 108)&#x202F;=&#x202F;23.8</td>
<td align="center" valign="top">&#x003C;0.001&#x002A;&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Substance use disorder (lifetime)</td>
<td align="center" valign="middle">X<sup>2</sup>(2)&#x202F;=&#x202F;7.9</td>
<td align="center" valign="top">0.019&#x002A;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>EMS, Early Maladaptive Schemas; CGI, Clinical Global Impression scale: Severity score; MADRS, Montgomery-&#x00C5;sberg Depression Rating Scale; YMRS, Young Mania Rating Scale; CTQ, Childhood Trauma Questionnaire; STAI form YA, State Anxiety Inventory form YA; &#x002A;<italic>p</italic> &#x003C;&#x202F;0.05; &#x002A;&#x002A;<italic>p</italic> &#x003C;&#x202F;0.01; &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C;&#x202F;0.001.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Mean EMS activations per cluster and statistics for pairwise comparisons.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">EMS</th>
<th align="center" valign="top">Hypo-activation</th>
<th align="center" valign="top">Light activation</th>
<th align="center" valign="top">Major hyper-activation</th>
<th align="center" valign="top">Hypo-activation vs. light activation</th>
<th align="center" valign="top">Hypo-activation vs. major hyper-activation</th>
<th align="center" valign="top">Light activation vs. major hyper-activation</th>
</tr>
<tr>
<th/>
<th align="center" valign="top"><bold>Mean (SD)</bold></th>
<th align="center" valign="top"><bold>Mean (SD)</bold></th>
<th align="center" valign="top"><bold>Mean (SD)</bold></th>
<th align="center" valign="top"><bold><italic>t</italic>(df)</bold><break/><bold><italic>p</italic></bold></th>
<th align="center" valign="top"><bold><italic>t</italic>(df)</bold><break/><bold><italic>p</italic></bold></th>
<th align="center" valign="top"><bold><italic>t</italic>(df)</bold><break/><bold><italic>p</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Emotional deprivation</td>
<td align="center" valign="top">&#x2212;0.04 (0.95)</td>
<td align="center" valign="top">1.24 (1.23)</td>
<td align="center" valign="top">1.73 (1.66)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;5.6<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;5.2<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;1.3<break/>0.154</td>
</tr>
<tr>
<td align="left" valign="top">Abandonment/Instability</td>
<td align="center" valign="top">&#x2212;0.44 (0.7)</td>
<td align="center" valign="top">0.41 (1)</td>
<td align="center" valign="top">1.22 (0.79)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;4.7<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;8<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;3<break/>0.001</td>
</tr>
<tr>
<td align="left" valign="top">Mistrust/Abuse</td>
<td align="center" valign="top">&#x2212;0.73 (0.54)</td>
<td align="center" valign="top">0.12 (0.86)</td>
<td align="center" valign="top">1.3 (1.44)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;5.6<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;8.1<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;4.1<break/>&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Social isolation/Alienation</td>
<td align="center" valign="top">&#x2212;0.21 (0.84)</td>
<td align="center" valign="top">0.9 (1.13)</td>
<td align="center" valign="top">2.14 (1.23)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;5.4<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;8.6<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;3.8<break/>&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Defectiveness/Shame</td>
<td align="center" valign="top">&#x2212;0.52 (0.49)</td>
<td align="center" valign="top">1.22 (1.17)</td>
<td align="center" valign="top">2.73 (1.66)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;9.3<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;12<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;4.1<break/>&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Failure</td>
<td align="center" valign="top">&#x2212;0.74 (0.43)</td>
<td align="center" valign="top">0.37 (1.04)</td>
<td align="center" valign="top">1.24 (0.97)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;6.6<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;11.2<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;3<break/>&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Dependence/Incompetence</td>
<td align="center" valign="top">&#x2212;0.58 (0.64)</td>
<td align="center" valign="top">0.35 (1.02)</td>
<td align="center" valign="top">1.89 (1.27)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;5.2<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;10.1<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;5<break/>&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Vulnerability to harm or illness</td>
<td align="center" valign="top">&#x2212;0.73 (0.51)</td>
<td align="center" valign="top">0.05 (1.06)</td>
<td align="center" valign="top">0.74 (1.17)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;4.5<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;6.9<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;2.2<break/>0.008</td>
</tr>
<tr>
<td align="left" valign="top">Enmeshment/undeveloped self</td>
<td align="center" valign="top">&#x2212;0.28 (0.82)</td>
<td align="center" valign="top">0.64 (0.95)</td>
<td align="center" valign="top">1.04 (0.99)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;5<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;5.3<break/>0&#x202F;&#x003C;&#x202F;0.001</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;1.5<break/>0.12</td>
</tr>
<tr>
<td align="left" valign="top">Entitlement/Grandiosity</td>
<td align="center" valign="top">&#x2212;0.12 (0.83)</td>
<td align="center" valign="top">0.29 (1.06)</td>
<td align="center" valign="top">1.22 (1.25)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;2.1<break/>0.053</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;4.9<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;3<break/>0.002</td>
</tr>
<tr>
<td align="left" valign="top">Insufficient self-control/Self-discipline</td>
<td align="center" valign="top">&#x2212;0.35 (0.76)</td>
<td align="center" valign="top">0.48 (1.19)</td>
<td align="center" valign="top">1.78 (1.06)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;4<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;8.8<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;4<break/>&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Subjugation</td>
<td align="center" valign="top">&#x2212;0.4 (0.64)</td>
<td align="center" valign="top">0.66 (0.76)</td>
<td align="center" valign="top">2.71 (0.97)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;7.3<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;14.8<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;9<break/>&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Self-sacrifice</td>
<td align="center" valign="top">&#x2212;0.13 (0.86)</td>
<td align="center" valign="top">0.33 (0.97)</td>
<td align="center" valign="top">0.04 (1.08)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;2.4<break/>0.06</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;0.7<break/>0.507</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;1<break/>0.438</td>
</tr>
<tr>
<td align="left" valign="top">Approval-seeking/Recognition-seeking</td>
<td align="center" valign="top">0.07 (0.81)</td>
<td align="center" valign="top">0.03 (0.93)</td>
<td align="center" valign="top">1.11 (1.01)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;0.2<break/>0.829</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;4.2<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;4<break/>&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Emotional inhibition</td>
<td align="center" valign="top">&#x2212;0.4 (0.7)</td>
<td align="center" valign="top">0.14 (0.97)</td>
<td align="center" valign="top">0.71 (1.02)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;3.1<break/>0.006</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;4.9<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;2.1<break/>0.023</td>
</tr>
<tr>
<td align="left" valign="top">Unrelenting standards/Hypercriticalness</td>
<td align="center" valign="top">0.01 (0.89)</td>
<td align="center" valign="top">0.85 (0.87)</td>
<td align="center" valign="top">0.86 (1.08)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;4.7<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;3.2<break/>0.002</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;0<break/>0.991</td>
</tr>
<tr>
<td align="left" valign="top">Negativity/Pessimism</td>
<td align="center" valign="top">&#x2212;0.57 (0.62)</td>
<td align="center" valign="top">0.64 (0.93)</td>
<td align="center" valign="top">1.34 (1.09)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;7.3<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;8.7<break/>&#x003C;0.001</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;2.5<break/>0.004</td>
</tr>
<tr>
<td align="left" valign="top">Punitiveness</td>
<td align="center" valign="top">0.09 (0.8)</td>
<td align="center" valign="top">0.57 (0.9)</td>
<td align="center" valign="top">1 (1.17)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;2.8<break/>0.015</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;3.5<break/>0.002</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;1.6<break/>0.093</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>SD, standard deviation; t, value for each comparison; df, Degrees of freedom associated with each comparison; <italic>p</italic>, <italic>p</italic>-value associated with each comparison.</p>
</table-wrap-foot>
</table-wrap>
<p>The second cluster was composed of 44.1% of the sample (n&#x202F;=&#x202F;49). Overall, EMS were slightly more activated compared to the norm, especially entitlement/grandiosity, social isolation, and emotional deprivation. On the other hand, the EMS mistrust/abuse, vulnerability to harm/illness, approval/recognition-seeking, and emotional inhibition were in the activation norm. This cluster was labeled <italic>Light activation</italic>.</p>
<p>The third cluster was composed of 15.3% of the sample (<italic>n</italic>&#x202F;=&#x202F;17). Almost all of the EMS were markedly hyperactivated except for the self-sacrifice EMS. The subjugation, defectiveness/shame, and social isolation EMS were particularly hyperactivated. This cluster was named <italic>Major hyperactivation</italic>.</p>
</sec>
<sec id="sec22">
<label>3.6</label>
<title>Effect of clusters</title>
<sec id="sec23">
<label>3.6.1</label>
<title>Effect of cluster membership on clinical variables</title>
<p>There was a statistically significant effect of cluster membership on the following clinical variables: disorder severity [<italic>F</italic>(2, 108)&#x202F;=&#x202F;3.1, <italic>p</italic>&#x202F;=&#x202F;0.048]; at least 3 months&#x2019; time elapsed from the last episode [X<sup>2</sup>(2)&#x202F;=&#x202F;7.8, <italic>p</italic>&#x202F;=&#x202F;0.021]; childhood trauma score [<italic>F</italic>(2, 108)&#x202F;=&#x202F;6.8, <italic>p</italic>&#x202F;=&#x202F;0.002]; state anxiety [<italic>F</italic>(2, 108)&#x202F;=&#x202F;23.8, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001]; and lifetime history of substance use disorders [X<sup>2</sup>(2)&#x202F;=&#x202F;7.9, <italic>p</italic>&#x202F;=&#x202F;0.019]. In contrast, residual thymic symptoms were not significant for either depressive symptoms [<italic>F</italic>(2, 108)&#x202F;=&#x202F;2.4, <italic>p</italic>&#x202F;=&#x202F;0.095] or manic symptoms [<italic>F</italic>(2, 108)&#x202F;=&#x202F;0.6, <italic>p</italic>&#x202F;=&#x202F;0.555] (see <xref ref-type="table" rid="tab6">Table 6</xref>).</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p><italic>Post-hoc</italic> pairwise <italic>t</italic>-tests of EMS activation clusters on clinical variables.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Clinical variables</th>
<th align="center" valign="top">Hypo-activation</th>
<th align="center" valign="top">Light activation</th>
<th align="center" valign="top">Major hyper-activation</th>
<th align="center" valign="top">Hypo-activation vs. light activation</th>
<th align="center" valign="top">Hypo-activation vs. major hyper-activation</th>
<th align="center" valign="top">Light activation vs major hyper-activation</th>
</tr>
<tr>
<th align="center" valign="top">Mean (SD) %</th>
<th align="center" valign="top">Mean (SD) %</th>
<th align="center" valign="top">Mean (SD) %</th>
<th align="center" valign="top"><italic>t</italic> or <italic>&#x03C7;</italic><sup>2</sup> (df)<break/><italic>p</italic><break/>Cohen&#x2019;s d or Pearson&#x2019;s &#x03D5;</th>
<th align="center" valign="top"><italic>t</italic> or <italic>&#x03C7;</italic><sup>2</sup> (df)<break/><italic>p</italic><break/>Cohen&#x2019;s d or Pearson&#x2019;s &#x03D5;</th>
<th align="center" valign="top"><italic>t</italic> or <italic>&#x03C7;</italic><sup>2</sup> (df)<break/><italic>p</italic><break/>Cohen&#x2019;s d or Pearson&#x2019;s &#x03D5;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">CGI</td>
<td align="center" valign="top">4.47 (0.87)</td>
<td align="center" valign="top">4.45 (0.68)</td>
<td align="center" valign="top">4.94 (0.43)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;0.1<break/>0.907<break/>0.02</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;2.1<break/>0.038<break/>&#x2212;0.61</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;2.8<break/>0.038<break/>&#x2212;0.79</td>
</tr>
<tr>
<td align="left" valign="top">End of last episode &#x003E;3&#x202F;months</td>
<td align="center" valign="top">84.4</td>
<td align="center" valign="top">77.1</td>
<td align="center" valign="top">50</td>
<td align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup>(1)&#x202F;=&#x202F;0.4<break/>0.525<break/>0</td>
<td align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup>(1)&#x202F;=&#x202F;5.8<break/>0.048<break/>0.33</td>
<td align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup>(1)&#x202F;=&#x202F;3<break/>0.123<break/>0.22</td>
</tr>
<tr>
<td align="left" valign="top">CTQ (trauma)</td>
<td align="center" valign="top">36.67 (9.72)</td>
<td align="center" valign="top">44 (14.45)</td>
<td align="center" valign="top">49 (15.99)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;2.9<break/>0.011<break/>&#x2212;0.59</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;3.7<break/>0.004<break/>&#x2212;1.05</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;1.2<break/>0.175<break/>&#x2212;0.34</td>
</tr>
<tr>
<td align="left" valign="top">STAI form YA (anxiety)</td>
<td align="center" valign="top">29.64 (7.88)</td>
<td align="center" valign="top">42.04 (12.34)</td>
<td align="center" valign="top">48.41 (13.96)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;5.7<break/>&#x003C;0.001&#x2013;1.19</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;6.7<break/>&#x003C;0.001&#x2013;1.9</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;1.8<break/>0.043<break/>&#x2212;0.5</td>
</tr>
<tr>
<td align="left" valign="top">Substance use disorder (lifetime)</td>
<td align="center" valign="top">11.1</td>
<td align="center" valign="top">15.6</td>
<td align="center" valign="top">41.2</td>
<td align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup>(1)&#x202F;=&#x202F;0.1<break/>0.756<break/>0</td>
<td align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup>(1)&#x202F;=&#x202F;5.3<break/>0.062<break/>0.31</td>
<td align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup>(1)&#x202F;=&#x202F;3.3<break/>0.105<break/>0.24</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>EMS, Early Maladaptive Schemas; CGI, Clinical Global Impression scale; CTQ, Childhood Trauma Questionnaire; STAI form YA, State Anxiety Inventory form YA; SD, standard deviation; t, value for each comparison; df, degrees of freedom associated with each comparison; <italic>p</italic>, <italic>p</italic>-value associated with each comparison; <italic>&#x03C7;</italic><sup>2</sup>(Chi<sup>2</sup>).</p>
</table-wrap-foot>
</table-wrap>
<p><italic>Post-hoc</italic> pairwise <italic>t</italic>-tests of EMS activation clusters on clinical variables are reported in <xref ref-type="table" rid="tab6">Table 6</xref>. The Major hyperactivation cluster had a significantly higher disorder severity score than the Hypoactivation [<italic>t</italic>(60)&#x202F;=&#x202F;2.1, corrected <italic>p</italic>&#x202F;=&#x202F;0.038], and <italic>Light activation</italic> clusters [<italic>t</italic>(64)&#x202F;=&#x202F;2.8, corrected <italic>p</italic>&#x202F;=&#x202F;0.038]. The <italic>Hypoactivation</italic> cluster had a lower childhood trauma score than the <italic>Light activation</italic> [<italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;2.9, corrected <italic>p</italic>&#x202F;=&#x202F;0.011] and <italic>Major hyperactivation</italic> [<italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;3.7, corrected <italic>p</italic>&#x202F;=&#x202F;0.004] clusters. The <italic>Light activation</italic> cluster also differed from the <italic>Hypoactivation</italic> cluster by a lesser proportion of participants having more than 3&#x202F;months&#x2019; time elapsed since last episode [X<sup>2</sup>(1)&#x202F;=&#x202F;5.8, <italic>p</italic>&#x202F;=&#x202F;0.048] and a higher intensity of anxiety symptomatology [<italic>t</italic>(60)&#x202F;=&#x202F;6.7, corrected <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001]. Furthermore, the anxiety symptom intensity was significantly different for all <italic>post-hoc</italic> contrasts. Participants in the <italic>Major hyperactivation</italic> cluster had higher anxiety scores than those in the other clusters [respectively compared to <italic>Hypoactivation</italic>: <italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;6.7, corrected <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001; and <italic>Light activation</italic>: <italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;1.8, corrected <italic>p</italic>&#x202F;=&#x202F;0.043]. Individuals in the <italic>Light activation</italic> cluster had higher anxiety scores than those in the <italic>Hypoactivation</italic> cluster [<italic>t</italic>(92)&#x202F;=&#x202F;&#x2212;5.7, corrected <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001]. Finally, the <italic>Major hyperactivation</italic> cluster had a marginally higher lifetime history of substance use disorders than the Hypoactivation cluster [X<sup>2</sup>(1)&#x202F;=&#x202F;5.3, <italic>p</italic>&#x202F;=&#x202F;0.062].</p>
</sec>
<sec id="sec24">
<label>3.6.2</label>
<title>Effect of cluster membership on sociodemographic variables and psychosocial functioning</title>
<p>There was a statistically significant effect of the clusters on the following sociodemographic and psychosocial functioning variables (see <xref ref-type="table" rid="tab7">Table 7</xref>): marital status [X<sup>2</sup>(2)&#x202F;=&#x202F;8.4, <italic>p</italic>&#x202F;=&#x202F;0.015], FAST [<italic>F</italic>(2, 107)&#x202F;=&#x202F;11.7, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001] and GAF [<italic>F</italic>(2, 108)&#x202F;=&#x202F;9, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001] functioning scores, and quality of life [<italic>F</italic>(2, 89)&#x202F;=&#x202F;12.9, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001]. Participants in the <italic>Hypoactivation</italic> cluster were significantly more likely to be in a relationship [X<sup>2</sup>(1)&#x202F;=&#x202F;6.3, corrected <italic>p</italic>&#x202F;=&#x202F;0.037], and were characterized by a better psychosocial functioning measured with the FAST [<italic>t</italic>(91)&#x202F;=&#x202F;&#x2212;3.6, corrected <italic>p</italic>&#x202F;=&#x202F;0.001] and a better quality of life [<italic>t</italic>(78)&#x202F;=&#x202F;4.3, corrected <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001] than participants in the <italic>Light activation</italic> cluster. The <italic>Major hyperactivation</italic> cluster also presented significantly worse functioning scores assessed with the FAST [<italic>t</italic>(59)&#x202F;=&#x202F;&#x2212;5, corrected <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001] and the GAF [<italic>t</italic>(60)&#x202F;=&#x202F;&#x2212;4.3, corrected <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001], and a worse quality of life score [<italic>t</italic>(51)&#x202F;=&#x202F;&#x2212;5.1, corrected <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001] than the <italic>Hypoactivation</italic> cluster. Only the GAF score was lower in the <italic>Major hyperactivation</italic> cluster than in the <italic>Light activation</italic> cluster [<italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;3.0, corrected <italic>p</italic>&#x202F;=&#x202F;0.006] (see <xref ref-type="table" rid="tab8">Table 8</xref>).</p>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>Main effects of EMS cluster membership on functioning variables.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Statistic</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Marital status</td>
<td align="center" valign="top">X<sup>2</sup>(2)&#x202F;=&#x202F;8.4</td>
<td align="center" valign="top">0.015&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Work</td>
<td align="center" valign="top">X<sup>2</sup>(2)&#x202F;=&#x202F;0.4</td>
<td align="center" valign="top">0.815</td>
</tr>
<tr>
<td align="left" valign="top">Independent housing</td>
<td align="center" valign="top">X<sup>2</sup>(2)&#x202F;=&#x202F;0.2</td>
<td align="center" valign="top">0.918</td>
</tr>
<tr>
<td align="left" valign="top">Psychosocial functioning FAST</td>
<td align="center" valign="top"><italic>F</italic>(2, 107)&#x202F;=&#x202F;11.7</td>
<td align="center" valign="top">&#x003C;0.001&#x002A;&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Global functioning GAF</td>
<td align="center" valign="top"><italic>F</italic>(2, 108)&#x202F;=&#x202F;9</td>
<td align="center" valign="top">&#x003C;0.001&#x002A;&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Quality of life (EQ-5D)</td>
<td align="center" valign="top"><italic>F</italic>(2, 89)&#x202F;=&#x202F;12.9</td>
<td align="center" valign="top">&#x003C;0.001&#x002A;&#x002A;&#x002A;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>EMS, Early Maladaptive Schemas; FAST, Functioning Assessment Short Test; GAF, Global Assessment of Functioning: functioning scales; EQ-5D, EuroQol-5D: quality of life; &#x002A;<italic>p</italic> &#x003C;&#x202F;0.05; &#x002A;&#x002A;<italic>p</italic> &#x003C;&#x202F;0.01; &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C;&#x202F;0.001.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab8">
<label>Table 8</label>
<caption>
<p><italic>Post-hoc</italic> pairwise <italic>t</italic>-tests of EMS activation clusters on functioning variables.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Functioning variables</th>
<th align="center" valign="top">Hypo-activation</th>
<th align="center" valign="top">Light activation</th>
<th align="center" valign="top">Major Hyper-activation</th>
<th align="center" valign="top">Hypo-activation vs. light activation</th>
<th align="center" valign="top">Hypo-activation vs. major hyper-activation</th>
<th align="center" valign="top">Light activation vs major hyper-activation</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">Mean (SD) %</th>
<th align="center" valign="top">Mean (SD) %</th>
<th align="center" valign="top">Mean (SD) %</th>
<th align="center" valign="top"><italic>t</italic> or <italic>&#x03C7;</italic><sup>2</sup> (df)<break/><italic>p</italic><break/>Cohen&#x2019;s d or Pearson&#x2019;s &#x03D5;</th>
<th align="center" valign="top">t or <italic>&#x03C7;</italic><sup>2</sup> (df)<break/><italic>p</italic><break/>Cohen&#x2019;s d or Pearson&#x2019;s <italic>&#x03D5;</italic></th>
<th align="center" valign="top"><italic>t</italic> or <italic>&#x03C7;</italic><sup>2</sup> (df)<break/><italic>p</italic><break/>Cohen&#x2019;s d or Pearson&#x2019;s &#x03D5;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Marital status</td>
<td align="center" valign="top">72.7</td>
<td align="center" valign="top">44.9</td>
<td align="center" valign="top">43.8</td>
<td align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup> (1)&#x202F;=&#x202F;6.3<break/>0.037<break/>0.26</td>
<td align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup> (1)&#x202F;=&#x202F;3.2<break/>0.114<break/>0.24</td>
<td align="center" valign="top"><italic>&#x03C7;</italic><sup>2</sup> (1)&#x202F;=&#x202F;0<break/>1<break/>0</td>
</tr>
<tr>
<td align="left" valign="top">Psychosocial functioning FAST</td>
<td align="center" valign="top">9.48 (7.33)</td>
<td align="center" valign="top">16.63 (11.04)</td>
<td align="center" valign="top">21.65 (10.9)</td>
<td align="center" valign="top"><italic>t</italic>(91)&#x202F;=&#x202F;&#x2212;3.6<break/>0.001<break/>&#x2212;0.76</td>
<td align="center" valign="top"><italic>t</italic>(59)&#x202F;=&#x202F;&#x2212;5<break/>&#x003C;0.001<break/>&#x2212;1.44</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;&#x2212;1.6<break/>0.069<break/>&#x2212;0.46</td>
</tr>
<tr>
<td align="left" valign="top">Global functioning GAF</td>
<td align="center" valign="top">68.56 (11.43)</td>
<td align="center" valign="top">64.27 (11.43)</td>
<td align="center" valign="top">55 (10.25)</td>
<td align="center" valign="top"><italic>t</italic>(92)&#x202F;=&#x202F;1.8<break/>0.068<break/>0.38</td>
<td align="center" valign="top"><italic>t</italic>(60)&#x202F;=&#x202F;4.3<break/>&#x003C;0.0011.22</td>
<td align="center" valign="top"><italic>t</italic>(64)&#x202F;=&#x202F;3<break/>0.006<break/>0.83</td>
</tr>
<tr>
<td align="left" valign="top">Quality of life (EQ-5D)</td>
<td align="center" valign="top">0.91 (0.09)</td>
<td align="center" valign="top">0.77 (0.19)</td>
<td align="center" valign="top">0.68 (0.24)</td>
<td align="center" valign="top"><italic>t</italic>(78)&#x202F;=&#x202F;4.3<break/>&#x003C;0.0010.96</td>
<td align="center" valign="top"><italic>t</italic>(51)&#x202F;=&#x202F;5.1<break/>&#x003C;0.0011.67</td>
<td align="center" valign="top"><italic>t</italic>(49)&#x202F;=&#x202F;1.4<break/>0.089<break/>0.46</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>SD, standard deviation; t, value for each comparison; df, degrees of freedom associated with each comparison; <italic>p</italic>, <italic>p</italic>-value associated with each comparison; <italic>&#x03C7;</italic><sup>2</sup> (Chi<sup>2</sup>).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec25">
<label>3.6.3</label>
<title>Effect of cluster membership on cognitive variables</title>
<p>Our results show no effect of cluster membership on neuropsychological performance variables (see <xref ref-type="table" rid="tab9">Table 9</xref>).</p>
<table-wrap position="float" id="tab9">
<label>Table 9</label>
<caption>
<p>Main effects of EMS cluster membership on cognitive dimensions.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Statistic</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Verbal memory</td>
<td align="center" valign="top"><italic>F</italic>(2, 103)&#x202F;=&#x202F;0.1</td>
<td align="center" valign="top">0.937</td>
</tr>
<tr>
<td align="left" valign="top">Working memory</td>
<td align="center" valign="top"><italic>F</italic>(2, 103)&#x202F;=&#x202F;0.3</td>
<td align="center" valign="top">0.757</td>
</tr>
<tr>
<td align="left" valign="top">Executive functions</td>
<td align="center" valign="top"><italic>F</italic>(2, 103)&#x202F;=&#x202F;0.1</td>
<td align="center" valign="top">0.933</td>
</tr>
<tr>
<td align="left" valign="top">Processing speed</td>
<td align="center" valign="top"><italic>F</italic>(2, 103)&#x202F;=&#x202F;0.1</td>
<td align="center" valign="top">0.941</td>
</tr>
<tr>
<td align="left" valign="top">Attention</td>
<td align="center" valign="top"><italic>F</italic>(2, 103)&#x202F;=&#x202F;0.9</td>
<td align="center" valign="top">0.402</td>
</tr>
<tr>
<td align="left" valign="top">Reasoning</td>
<td align="center" valign="top"><italic>F</italic>(2, 103)&#x202F;=&#x202F;0.5</td>
<td align="center" valign="top">0.594</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>EMS, Early Maladaptive Schemas.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="sec26">
<label>3.7</label>
<title>Multiple regression analysis</title>
<p>The results of the multiple regression analyses are reported in <xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>. Only marital status was significantly different between the <italic>Light activation</italic> and <italic>Hypoactivation</italic> clusters [<italic>t</italic>(88.6)&#x202F;=&#x202F;&#x2212;3.1, <italic>p</italic>&#x202F;=&#x202F;0.005] and the <italic>Major hyperactivation</italic> and <italic>Hypoactivation</italic> clusters [<italic>t</italic>(84.5)&#x202F;=&#x202F;&#x2212;3.3, <italic>p</italic>&#x202F;=&#x202F;0.005], participants in the <italic>Hypoactivation</italic> cluster being more often in a relationship. Functioning assessed with the FAST and GAF and quality of life were not significantly associated with EMS. However, several covariates were significantly associated with the functioning scores and quality of life. Functioning measured with FAST and GAF was worse in individuals whose last episode ended &#x003C;3&#x202F;months ago [<italic>t</italic>(89.9)&#x202F;=&#x202F;&#x2212;3.6, <italic>p</italic>&#x202F;=&#x202F;0.001, and <italic>t</italic>(91)&#x202F;=&#x202F;2.2, <italic>p</italic>&#x202F;=&#x202F;0.032, respectively]. The GAF and quality of life scores were negatively associated with anxiety symptom intensity [<italic>t</italic>(90.9)&#x202F;=&#x202F;&#x2212;2.1, <italic>p</italic>&#x202F;=&#x202F;0.039, and <italic>t</italic>(65)&#x202F;=&#x202F;&#x2212;4.5, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001, respectively].</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec27">
<label>4</label>
<title>Discussion</title>
<p>Using cluster analysis, this study examined the link between Early Maladaptive Schema (EMS) profiles, clinical characteristics, residual symptoms of bipolar disorders (BD), psychosocial functioning, and neuropsychological performance. As a main result, we found three different cluster profiles based on EMS activation. This result is in line with previous studies and sheds light on the clinical heterogeneity in BD. People with BD are not homogeneous during euthymic phases which supports the relevance of proposing personalized medicine and care. Futhermore, these different profiles were associated with clinical variables and functioning outcomes, but not with neuropsychological performance.</p>
<p>Firstly, a significant proportion of participants in our sample displayed functioning measures within the norm during the euthymic phase of their BD, both in terms of EMS activation and psychosocial functioning. Indeed, the <italic>Hypoactivation</italic> cluster, comprising 40% of the sample, was particularly characterized by hypoactivation of dependence/incompetence, failure, defectiveness/shame, mistrust/abuse, negativity/pessimism, and vulnerability to harm/illness EMS, which was associated with good levels of psychosocial functioning. Regarding the hypoactivation of EMS, people in this cluster would be less likely to be pessimistic and have negative self-perceptions than the others in our sample. Thus, they might be less prone to social stigma and self-stigma. It might explain the better functioning found in this cluster because social stigma and self-stigma have a major weight which impact the functioning of people (<xref ref-type="bibr" rid="ref54">Latalova et al., 2013</xref>; <xref ref-type="bibr" rid="ref4">Au et al., 2019</xref>). Lastly, the activation of the self-sacrifice, entitlement/grandiosity, enmeshment/undeveloped self, emotional deprivation, punitiveness, approval/recognition-seeking EMS remains very close to the norm and lower than the other participants in our sample.</p>
<p>A second cluster, <italic>Light activation</italic>, composed 44.1% of the sample. Overall, people in this cluster were more activated on the different EMS than the norm, especially for entitlement/grandiosity, social isolation, and emotional deprivation. The latter two EMS belonging to the Separation and Rejection domain, people with activated EMS in this domain are more likely to have difficulty forming secure and satisfying relationships with others (<xref ref-type="bibr" rid="ref100">Young et al., 2003</xref>). They feel that their needs for stability, security, attention, love and belonging will never be met. They highly tend to have difficulties in relationships with others, even in therapeutic relationships. Assessing and working on these EMS could help for increase therapeutic alliance.</p>
<p>The last identified cluster, <italic>Major hyperactivation</italic> composed a minority of participants (15.3%). Except for the self-sacrifice EMS, all the other EMS were markedly hyperactivated in this cluster, especially subjugation, defectiveness/shame, and social isolation. The activation of the defectiveness/shame (<xref ref-type="bibr" rid="ref70">&#x00D6;zdin et al., 2018</xref>; <xref ref-type="bibr" rid="ref48">Khosravi et al., 2017</xref>; <xref ref-type="bibr" rid="ref74">Richa and Richa, 2013</xref>; <xref ref-type="bibr" rid="ref39">Hawke and Provencher, 2012</xref>) and emotional deprivation (<xref ref-type="bibr" rid="ref48">Khosravi et al., 2017</xref>; <xref ref-type="bibr" rid="ref74">Richa and Richa, 2013</xref>; <xref ref-type="bibr" rid="ref39">Hawke and Provencher, 2012</xref>) EMS is inconsistent across studies, but the social isolation EMS is one of the most frequently hyperactivated in people with BD (<xref ref-type="bibr" rid="ref1">Ak et al., 2012</xref>; <xref ref-type="bibr" rid="ref70">&#x00D6;zdin et al., 2018</xref>; <xref ref-type="bibr" rid="ref48">Khosravi et al., 2017</xref>; <xref ref-type="bibr" rid="ref74">Richa and Richa, 2013</xref>; <xref ref-type="bibr" rid="ref39">Hawke and Provencher, 2012</xref>). The activation of this EMS suggests that people may experience difficulties in establishing or maintaining satisfactory social relationships. The subjugation EMS corresponds to excessive submission to the control of others, because the subject feels forced to do so, usually to avoid anger, retaliation, or abandonment. There is repressed anger causing symptoms such as passive/aggressive behavior or uncontrolled outbursts of anger. Indeed, it is well known that BD are associated with emotion regulation disturbances (<xref ref-type="bibr" rid="ref20">De Prisco et al., 2022</xref>; <xref ref-type="bibr" rid="ref22">Dodd et al., 2019</xref>; <xref ref-type="bibr" rid="ref53">Kurtz et al., 2021</xref>; <xref ref-type="bibr" rid="ref62">Miola et al., 2022</xref>). The lifetime history of substance use disorders was higher in the <italic>Major hyperactivation</italic> cluster, highlighting the critical issue of dual diagnosis in BD. This result is supported by a recent study reporting EMS to be overactivated in individuals with alcohol use disorders (<xref ref-type="bibr" rid="ref81">Rubio-Escobar et al., 2024</xref>).</p>
<p>People with hypoactivated EMS seem to have less difficulties in their daily life than people with hyperactivated EMS. Indeed, we found that psychosocial functioning, quality of life, and marital life were generally better in the <italic>Hypoactivation</italic> cluster than in the other clusters. These results are consistent with a recent review suggesting that schema therapy was effective in improving the quality of life for personal disorders (<xref ref-type="bibr" rid="ref101">Zhang et al., 2023</xref>). Moreover, clinical characteristics were less severe in this cluster than the others clusters (e.g., less anxious, less severe bipolar illness, last thymic episode further away).</p>
<p>However, only marital status remained significantly associated with cluster memberships in the multiple regression analysis: people with hyperactivated EMS seem to have more difficulty being and remaining in a marital relationship than people with hypoactivated EMS. The hyperactivation of EMS in the Separation and Rejection domain in the <italic>Light activation</italic> and <italic>Major hyperactivation</italic> clusters could explain the difficulty in establishing and maintaining a marital relationship, in line with the meta-analysis conducted by <xref ref-type="bibr" rid="ref44">Janovsky et al. (2020)</xref> and the study by <xref ref-type="bibr" rid="ref24">Dupouy et al. (2023)</xref> that highlights the contribution of the Separation and Rejection domain in relationship dysfunction. We know that a significant proportion of people with BD do not regain full functioning, particularly in the social domain, after an affective episode (<xref ref-type="bibr" rid="ref59">MacQueen et al., 2001</xref>). This study emphasizes that marital life is a relevant functioning domain to target in clinical practice and to understand in relation to patients&#x2019; EMS. Based on these results, it therefore seems legitimate to recommend an EMS assessment for individuals with BD disorder in the euthymic phase who report difficulties in establishing a stable marital relationship, and subsequently, recommend schema therapy (<xref ref-type="bibr" rid="ref100">Young et al., 2003</xref>).</p>
<p>Overall, this study showed that half of people with BD have activated EMS. According to Young&#x2019;s schema theory (<xref ref-type="bibr" rid="ref100">Young et al., 2003</xref>), EMS emerge from childhood trauma. Thus, the high prevalence of trauma in this population (<xref ref-type="bibr" rid="ref28">Etain et al., 2010</xref>; <xref ref-type="bibr" rid="ref33">Garno et al., 2005</xref>; <xref ref-type="bibr" rid="ref43">Janiri et al., 2015</xref>) may be a cause of fragility in their construction throughout their lives, and thus favor the development of EMS. This hypothesis is supported by the results of this study showing that the clusters differed on the presence of childhood trauma in bivariable analysis. Particularly, the <italic>Hypoactivation</italic> cluster showed a lower childhood trauma score than the two other clusters. This result is consistent with scientific literature showing an association between childhood maltreatment and EMS (<xref ref-type="bibr" rid="ref14">Carr and Francis, 2010</xref>). Furthermore, because there is an association between adverse childhood experiences and adult psychopathology (<xref ref-type="bibr" rid="ref28">Etain et al., 2010</xref>), an interesting hypothesis is that EMS may mediate this relationship, and thus develop and maintain BD (<xref ref-type="bibr" rid="ref6">Ball et al., 2003</xref>). More generally, there is a kind of correspondance between BD severity and EMS activation; people with the least activated EMS are the ones who are doing the best in terms of BD severity, anxiety symptom intensity, remission duration, and psychosocial functioning.</p>
<p>Although previous studies have demonstrated associations between intelligence and personality traits (<xref ref-type="bibr" rid="ref7">Bartels et al., 2012</xref>; <xref ref-type="bibr" rid="ref85">Schaie et al., 2004</xref>; <xref ref-type="bibr" rid="ref8">Berggren and Derakshan, 2013</xref>), our findings did not reveal a significant relationship between neuropsychological performance and EMS. This absence of association may reflect the specific neuropsychological dimensions assessed in this study, which could be complemented by measures of social cognition. Given the established link between EMS and interpersonal functioning (<xref ref-type="bibr" rid="ref21">DeTore et al., 2018</xref>), social cognition might provide a more relevant framework for exploring this relationship. Furthermore, while cognitive functioning is a critical determinant of psychosocial functioning in BD (<xref ref-type="bibr" rid="ref78">Roux et al., 2024</xref>; <xref ref-type="bibr" rid="ref79">Roux et al., 2017</xref>; <xref ref-type="bibr" rid="ref25">Ehrminger et al., 2021</xref>), its role appears distinct from that of EMS. Furthermore, cognitive complaints should be assessed because they are frequently reported by people with BD such as memory or attentional difficulties (<xref ref-type="bibr" rid="ref75">Rosa et al., 2013</xref>) and reported as having an impact on their daily life. Our findings suggest that cognitive deficits do not necessarily hinder the implementation of schema therapy, as the presence of early maladaptive schemas (EMS) and cognitive abilities do not appear to be related. This study underscores the importance of distinguishing between cognitive functioning (e.g., memory, attention, executive function) and the content of cognitions (in this case, cognitive schemas). From a personalized care perspective, it is therefore essential to specifically evaluate the factors that hinder the patient. Combining functional remediation and schema therapy may prove effective for individuals with difficulties in both areas, as one approach cannot substitute for the other.</p>
<p>This study has several limitations. One limitation concerns the heterogeneity caused by the three subtypes of bipolar disorders investigated in this study. Understanding whether Bipolar I and Bipolar II disorders are the same or distinct conditions is a significant area of research. It would be interesting to replicate this study, specifically highlighting the results found for EMS in Bipolar I and Bipolar II separately. Moreover, the study did not control for the socioeconomic status and comorbid psychiatric disorders, which may influence EMS in BD. For example, several psychiatric disorders, which are common in BD, are associated with EMS, like attention deficit hyperactivity (<xref ref-type="bibr" rid="ref49">Kiraz and Sert&#x00E7;elik, 2021</xref>), borderline personality (<xref ref-type="bibr" rid="ref32">Fr&#x00ED;as et al., 2018</xref>), anxiety disorders (<xref ref-type="bibr" rid="ref51">Koerner et al., 2015</xref>) and obsessive-compulsive disorders (<xref ref-type="bibr" rid="ref23">Dostal and Pilkington, 2023</xref>). In this study, the role of socioeconomic status was not measured, yet it could be an influential factor in early maladaptive schemas (EMS) and psychosocial functioning. Especially since there is a link between social disadvantage (household income, education status, employment status) and functional impairment in people with bipolar disorder (<xref ref-type="bibr" rid="ref88">Sylvia et al., 2017</xref>). Furthermore, this study was conducted with a French population. It would be interesting to replicate this study in other populations, both to test the effect of culture on the one hand, and the effect of certain demographic variables on the other hand. Additionally, the cross-sectional design of the study should be acknowledged as a limitation. Developing longitudinal designs could provide further valuable insights. Growth-mixture models could track EMS activation and functional outcomes over time. Then, if schema therapy interventions are tested, measuring changes in EMS factors or class membership can help confirm whether &#x201C;Major Hyperactivation&#x201D; patients particularly benefit.</p>
</sec>
<sec sec-type="conclusions" id="sec28">
<label>5</label>
<title>Conclusion</title>
<p>In spite of its limitations, this study contributes to a more accurate understanding of the clinical heterogeneity of people in euthymic phases of BD. Clinicians should have an eco-systemic approach, taking into account environment, in particular childhood environment, and current environment. Initially developed to treat borderline personality disorders, other specific models of schema therapy have been developed to treat almost all other personality disorders (<xref ref-type="bibr" rid="ref17">Csukly et al., 2011</xref>) and other disorders such as eating disorders, anxiety disorders and post-traumatic stress disorders (<xref ref-type="bibr" rid="ref90">Taylor et al., 2017</xref>). Indeed, previous papers have argued the relevance of schema therapy as a treatment option for people with BD in the euthymic phase (<xref ref-type="bibr" rid="ref40">Hawke et al., 2013</xref>; <xref ref-type="bibr" rid="ref69">Ociskova et al., 2022</xref>).</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec29">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec30">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Comit&#x00E9; de Protection des Personnes &#x00CE;le de France IX on January 18, 2010. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin.</p>
</sec>
<sec sec-type="author-contributions" id="sec31">
<title>Author contributions</title>
<p>KM&#x2019;B: Conceptualization, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. CM: Conceptualization, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing &#x2013; review &#x0026; editing. FW: Investigation, Resources, Validation, Visualization, Writing &#x2013; original draft. CP: Supervision, Visualization, Writing &#x2013; review &#x0026; editing. PR: Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec32">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by a grant of Versailles Hospital (Bourse Registre 2019), by Fondation FondaMental, Cr&#x00E9;teil, France, and the Investissements d&#x2019;Avenir Programs managed by the ANR under references ANR-11-IDEX-0004-02 and ANR-10-COHO-10-01.</p>
</sec>
<ack>
<p>We are grateful to the FondaMental Fondation, in particular Face-BD collaborators and data managers. We would also like to thank the psychologists working at the Versailles Center of Expertise in Bipolar Disorders for gathering the data: Anne-Sophie Cannavo, Anne-Marie Galliot, Isabelle Grevin and G&#x00E9;raldine Liaskovski. We are grateful to Victoria Sanders for her English proofreading.</p>
</ack>
<sec sec-type="COI-statement" id="sec33">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="sec34">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec35">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1476345/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1476345/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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</fn-group>
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