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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>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2025.1642665</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>Brazilian version of the Brief Screener for Substance and Behavioral Addiction</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Faiad</surname> <given-names>Cristiane</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Mar&#x00F4;co</surname> <given-names>Jo&#x00E3;o</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Tavares</surname> <given-names>Hermano</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Hodgins</surname> <given-names>David</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Matsunaga</surname> <given-names>Lucas Heiki</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>The Institute of Psychology, The University of Bras&#x00ED;lia</institution>, <addr-line>Bras&#x00ED;lia</addr-line>, <country>Brazil</country></aff>
<aff id="aff2"><sup>2</sup><institution>Intrepid Lab &#x0026; CETRAD, ECEO, Universidade Lus&#x00F3;fona</institution>, <addr-line>Lisboa</addr-line>, <country>Portugal</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Psychiatry, Universidade de Sao Paulo</institution>, <addr-line>S&#x00E3;o Paulo</addr-line>, <country>Brazil</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Psychology, University of Calgary</institution>, <addr-line>Calgary, AB</addr-line>, <country>Canada</country></aff>
<aff id="aff5"><sup>5</sup><institution>Tokyo College, The University of Tokyo</institution>, <addr-line>Tokyo</addr-line>, <country>Japan</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Salvatore Campanella, Universit&#x00E9; Libre de Bruxelles, Belgium</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Jos&#x00E9; Magano, Universidade Aut&#x00F3;noma de Lisboa, Portugal</p><p>Heloisa Baptista, Cefei, Brazil</p></fn>
<corresp id="c001">&#x002A;Correspondence: Lucas Heiki Matsunaga, <email>matsunaga.lucas@mail.u-tokyo.ac.jp</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1642665</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Faiad, Mar&#x00F4;co, Tavares, Hodgins and Matsunaga.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Faiad, Mar&#x00F4;co, Tavares, Hodgins and Matsunaga</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>
<title>Introduction</title>
<p>Excessive and compulsive behaviors, including substance and behavioral addictions, represent a growing global concern. In Brazil, the increasing prevalence of these behaviors underscores the need for effective screening tools to identify individuals at risk. The Brief Screener for Substance and Behavioral Addiction (SSBA) has been recognized internationally for its utility in both clinical assessment and public health surveillance. This study aimed to adapt the SSBA for use in Brazil, with potential applications in other Portuguese-speaking countries.</p>
</sec>
<sec>
<title>Methods</title>
<p>The adaptation process followed international guidelines for cross-cultural adaptation of psychometric instruments. It included forward translation into Portuguese, back-translation into English, and expert committee review to ensure semantic and conceptual equivalence. A pilot study was conducted to assess clarity and relevance. Subsequently, the Brazilian version of the SSBA was administered to a sample of 450 individuals, comprising both clinical and non-clinical populations. Psychometric analyses evaluated the instrument&#x2019;s reliability, validity, and factorial structure.</p>
</sec>
<sec>
<title>Results</title>
<p>The Brazilian version of the SSBA demonstrated good internal consistency and satisfactory construct validity across subscales. Confirmatory factor analysis supported the original structure of the instrument, and no major linguistic or cultural adaptations were required. The screener showed strong discriminative power between clinical and non-clinical participants, indicating its effectiveness for identifying individuals at risk for addiction-related disorders.</p>
</sec>
<sec>
<title>Discussion</title>
<p>The adapted SSBA is a reliable and valid tool for the Brazilian context and may be extended to other Lusophone countries. It provides a brief yet comprehensive screening method suitable for various settings, including clinical practice, research, and community health. The instrument is particularly valuable for health professionals working in addiction prevention, diagnosis, and treatment, supporting early identification and intervention efforts.</p>
</sec>
</abstract>
<kwd-group>
<kwd>instrument adaptation</kwd>
<kwd>dependent behaviors</kwd>
<kwd>addictions</kwd>
<kwd>excessive behaviors</kwd>
<kwd>evidence of validity</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="34"/>
<page-count count="10"/>
<word-count count="6753"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Addictive Behaviors</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="S1">
<title>Brazilian version of the Brief Screener for Substance and Behavioral Addiction</title>
<p>One major challenge for researchers and health professionals is understanding extraordinary behaviors (EB), whether addictive or behavioral. These behaviors are typically excessive, repetitive, and driven by impulses that are hard to resist. They often serve as a form of escapism or relief from stress and anxiety, yet persist despite causing harm to an individual&#x2019;s life and relationships (<xref ref-type="bibr" rid="B7">Demetrovics et al., 2022</xref>; <xref ref-type="bibr" rid="B8">Grant et al., 2013</xref>; <xref ref-type="bibr" rid="B15">Karim and Chaudhri, 2012</xref>). Understanding EB is crucial for developing effective interventions and clearly defining their boundaries and impact.</p>
<p>To guide research and clinical interventions, <xref ref-type="bibr" rid="B4">Brand et al. (2022)</xref> caution against over-pathologizing normal behaviors based solely on frequency and propose three criteria for identifying potentially addictive behaviors. First, the behavior must have clinical relevance, causing harm or dysfunction. Second, it should align theoretically with addiction. Third, there must be empirical evidence, gathered through tools like self-reports, interviews, and experiments, supporting its biological and psychological basis. Despite their caution, the authors stress the need for greater investment in treatment and public health initiatives.</p>
<p>A systematic review by <xref ref-type="bibr" rid="B20">Mudry et al. (2011)</xref> highlighted the lack of consensus around excessive behavior syndrome, which includes addictions like internet use, sex, compulsive eating, substance abuse, gaming, overworking, shopping, trichotillomania, and extreme exercise. The nosological classification of many of these behaviors remains unclear, as they are not explicitly recognized in the DSM-5 or ICD-11, though some fall under broader diagnostic categories (<xref ref-type="bibr" rid="B7">Demetrovics et al., 2022</xref>; <xref ref-type="bibr" rid="B31">Starcevic and Khazaal, 2017</xref>). Research also shows that certain individuals, particularly those with depression, anxiety, or ADHD, are more prone to these behaviors (<xref ref-type="bibr" rid="B7">Demetrovics et al., 2022</xref>).</p>
<p>Further, numerous studies have explored different types of excessive or addictive behaviors, such as gaming (<xref ref-type="bibr" rid="B6">Burleigh et al., 2019</xref>; <xref ref-type="bibr" rid="B16">Kim et al., 2022</xref>), shopping (<xref ref-type="bibr" rid="B9">Guerrero-Vaca et al., 2019</xref>), sex (<xref ref-type="bibr" rid="B5">Brand et al., 2016</xref>), pornography and internet use (<xref ref-type="bibr" rid="B18">Monteiro et al., 2020</xref>; <xref ref-type="bibr" rid="B30">Souza and Cappellozza, 2019</xref>), eating (<xref ref-type="bibr" rid="B27">Santos, 2023</xref>), and alcohol use (<xref ref-type="bibr" rid="B11">Hill and Mazurek, 2003</xref>; <xref ref-type="bibr" rid="B24">Romera et al., 2022</xref>). Despite this progress, a key challenge&#x2014;especially in Brazil&#x2014;remains the development of reliable tools to measure and assess these behaviors.</p>
<p>The SSBA is increasingly used in research to assess addiction risk across a range of behaviors and substances. Developed by <xref ref-type="bibr" rid="B28">Schluter et al. (2020)</xref>, it was based on symptom reports from individuals with lived experience of addiction and initially covered ten behaviors, including substance use, gambling, eating, shopping, sex, gaming, and work. <xref ref-type="bibr" rid="B12">Hodgins et al. (2023)</xref> later expanded it to 13 behaviors by three more categories: opioid use, excessive exercise, and compulsive working. In a study with 656 college students, they confirmed the SSBA&#x2019;s validity and reliability, highlighting its value as a tool for both research and clinical assessment.</p>
<p>Given the lack of screening tools for behavioral addictions in Brazil, this study adapts the SSBA to the Brazilian context, establishes content validity through expert evaluation, and examines its initial factor structure in a community sample. Moreover, to effectively adapt and validate a tool like the SSBA for use in Brazil, we essentially consider the cultural, social, and behavioral norms that shape how excessive behaviors are manifested and perceived. This is especially important because the Brazilian society presents unique contexts, such as widespread internet use alongside limited access to mental health services (<xref ref-type="bibr" rid="B1">Andrade et al., 2020</xref>), high levels of religiosity that influence moral attitudes toward behaviors like sex and substance use (<xref ref-type="bibr" rid="B19">Moreira-Almeida et al., 2014</xref>), and pronounced socioeconomic inequality that may increase vulnerability to stress-related coping behaviors (<xref ref-type="bibr" rid="B23">Patel et al., 2018</xref>). These factors can influence both the prevalence and reporting of excessive behaviors, introducing potential biases in measurement. Cross-cultural validity is therefore critical in adapting psychological instruments for Brazil, requiring more than linguistic translation to ensure conceptual and functional equivalence (<xref ref-type="bibr" rid="B3">Borsa et al., 2012</xref>). Without these adaptations, assessment tools may fail to capture the lived experience of behavioral addiction in diverse Brazilian populations, undermining their utility for research and public health policy.</p>
<p>Further, to address the complexity and cultural relevance of excessive behaviors in Brazil, this study extended the original SSBA by including eight additional behaviors that are commonly reported in clinical or social contexts as problematic or potentially addictive. These addictions (e.g., excessive dedication to a romantic partner, cosmetic procedures, and use of social media) were informed by qualitative insights from Brazilian clinicians and researchers, as well as national trends in behavior-related complaints and treatment-seeking patterns. The inclusion of these behaviors is consistent with the criteria proposed by <xref ref-type="bibr" rid="B4">Brand et al. (2022)</xref>, as they have been linked in the literature to functional impairment (e.g., <xref ref-type="bibr" rid="B2">Andreassen et al., 2012</xref>), impulsivity and loss of control (e.g., <xref ref-type="bibr" rid="B13">Hormes et al., 2014</xref>), and neurobiological correlates similar to those found in substance-related addictions (e.g., <xref ref-type="bibr" rid="B33">Turel et al., 2014</xref>). Moreover, these behaviors align with a growing body of international literature advocating for a culturally sensitive and empirically grounded expansion of the behavioral addiction framework (<xref ref-type="bibr" rid="B21">M&#x00FC;ller et al., 2019</xref>). Therefore, the adaptation process did not merely translate the scale but also aimed to reflect behaviors with plausible addictive characteristics that are particularly salient in the Brazilian context.</p>
<p>Thus, the goal of this study is to lay the groundwork for broader applications of the SSBA beyond Western, industrialized populations. By addressing gaps in assessment tools, it aims to enhance clinical practices, support preventive measures, and encourage adoption and cultural adaptation of the SSBA in other Lusophone countries (e.g., Angola, Cape Verde, Mozambique, Portugal, Timor-Leste). Especially, this research is timeless due to the globally growing mental health concerns associated with addiction.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and methods</title>
<p>The Brief Screener for Behavioral Addiction (SSBA), developed by <xref ref-type="bibr" rid="B29">Schluter et al. (2018)</xref>, assesses the risk of substance and behavioral dependence in adults over reflection on the past 12 months. It focuses on behaviors that lead to significant problems, using four core statements for each behavior or substance: (a) &#x201C;<italic>I did it too much</italic>,&#x201D; (b) &#x201C;<italic>Once I started, I couldn&#x2019;t stop</italic>,&#x201D; (c) &#x201C;<italic>I felt I needed to do this to function</italic>,&#x201D; and (d) &#x201C;<italic>I continued despite the problems it caused.</italic>&#x201D; Responses are rated on a 6-point Likert scale (0 = Never to 5 = I didn&#x2019;t do any of these), with options to skip or decline to answer. To strengthen selection validity, <xref ref-type="bibr" rid="B28">Schluter et al. (2020)</xref> and <xref ref-type="bibr" rid="B12">Hodgins et al. (2023)</xref> recommend adding questions on psychological treatment, medication use, and hospitalization.</p>
<p>The original version included ten variables: alcohol, marijuana, tobacco, psychostimulants, gambling, overeating, shopping, sex, video games (<xref ref-type="bibr" rid="B29">Schluter et al., 2018</xref>). A second version by <xref ref-type="bibr" rid="B12">Hodgins et al. (2023)</xref> expanded to more behaviors: opioids, physical exercise, and study. Additionally, a new version of the Screener for Substance and Behavioral Addictions (SSBA-G) was developed by <xref ref-type="bibr" rid="B32">Thege et al. (2023)</xref>. For the version adapted for Brazil, <xref ref-type="bibr" rid="B29">Schluter et al.&#x2019;s (2018)</xref> original version was used. However, after a critical analysis of behaviors by the research team, eight additional factors were subsequently incorporated. These include excessive work, self-harm, excessive devotion to a romantic partner, outbursts of anger, hair-pulling or body hair removal, skin picking, theft, excessive internet use, and the use of tranquilizers. In this study, these extraordinary behaviors will be referred to as behavioral addictions (BAs). The specific characteristics of the 21 substances and behaviors are outlined in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Behavioral addictions.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Behavioral addictions</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Description</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">(1) Alcohol</td>
<td valign="top" align="left">Beer, wine, etc.</td>
</tr>
<tr>
<td valign="top" align="left">(2) Marijuana</td>
<td valign="top" align="left">Medicinal and non-medicinal use of marijuana, hashish, THC/hash oil, etc.</td>
</tr>
<tr>
<td valign="top" align="left">(3) Tobacco</td>
<td valign="top" align="left">Cigarettes, cigars, and other tobacco/nicotine products (e.g., vaporizers, electronics).</td>
</tr>
<tr>
<td valign="top" align="left">(4) Psychostimulants</td>
<td valign="top" align="left">Crack cocaine, powder cocaine (blow/snow/snort), speed, diet pills, ecstasy, methamphetamine (solid/crystallized), etc., as well as the medicinal and non-medical use of prescription amphetamine-type stimulants (e.g., Ritalin).</td>
</tr>
<tr>
<td valign="top" align="left">(5) Gambling</td>
<td valign="top" align="left">Slot machine games, online gambling, casino games, lotteries, and any other bets for cash/other rewards.</td>
</tr>
<tr>
<td valign="top" align="left">(6) Overeating</td>
<td valign="top" align="left">Consumption of food in quantities that exceed what is necessary for daily sustenance and good health.</td>
</tr>
<tr>
<td valign="top" align="left">(7) Shopping</td>
<td valign="top" align="left">Any in-store or online purchase.</td>
</tr>
<tr>
<td valign="top" align="left">(8) Sexual activity</td>
<td valign="top" align="left">Sexual activity (e.g., intercourse, oral sex, masturbation), as well as excessive and/or inappropriate use of online or offline (e.g., pornography, phone sex).</td>
</tr>
<tr>
<td valign="top" align="left">(9) Video games</td>
<td valign="top" align="left">Single/multiplayer video games, played online or offline on all types of platforms and consoles (e.g., PlayStation, PC), handhelds (e.g., Switch), as well as mobiles and computers.</td>
</tr>
<tr>
<td valign="top" align="left">(10) Opioids</td>
<td valign="top" align="left">It involves heroin, fentanyl, etc., as well as prescription painkillers such as morphine, methadone, codeine, OxyContin, Vicodin, etc.</td>
</tr>
<tr>
<td valign="top" align="left">(11) Excessive</td>
<td valign="top" align="left">Any form of physical exercise that exceeds what is necessary to maintain good health and meet physical demands.</td>
</tr>
<tr>
<td valign="top" align="left">(12) Over-studying</td>
<td valign="top" align="left">All study activities beyond regular academic obligations and assignments from coursework.</td>
</tr>
<tr>
<td valign="top" align="left">(13) Overwork</td>
<td valign="top" align="left">Any paid or voluntary work beyond formal duties or capacity, such as during a weekend/day off/workday or in the evening/at home, etc.</td>
</tr>
<tr>
<td valign="top" align="left">(14) Self-harm</td>
<td valign="top" align="left">Cutting, hitting, or burning behaviors.</td>
</tr>
<tr>
<td valign="top" align="left">(15) Dedication to romantic partner</td>
<td valign="top" align="left">Involves excessive dedication to the partner</td>
</tr>
<tr>
<td valign="top" align="left">(16) Outbursts of anger</td>
<td valign="top" align="left">Involves behaviors such as shouting, swearing, breaking objects, or physical aggression.</td>
</tr>
<tr>
<td valign="top" align="left">(17) Pulling out hair and/or body hair.</td>
<td valign="top" align="left">Performed with hands, tweezers, or other instruments.</td>
</tr>
<tr>
<td valign="top" align="left">(18) Picking own skin</td>
<td valign="top" align="left">Actions performed with hands, tweezers, or other instruments.</td>
</tr>
<tr>
<td valign="top" align="left">(19) Theft/kleptomania</td>
<td valign="top" align="left">It involves stealing items that do not belong to you, whether from stores, workplaces, or the homes of acquaintances.</td>
</tr>
<tr>
<td valign="top" align="left">(20) Internet use</td>
<td valign="top" align="left">It involves using social media, watching videos, following news. Does not include pornography, gambling, online video games or online shopping. Access to social media (e.g., Instagram, Whatsapp, Youtube, TikTok), for long periods of time.</td>
</tr>
<tr>
<td valign="top" align="left">(21) Tranquilizers</td>
<td valign="top" align="left">Sleeping pills such as Rivotril, Valium, Lexotan, Stilnox, Ptaz, Dormonid or black band medications obtained with(out) a blue prescription.</td>
</tr>
</tbody>
</table></table-wrap>
<sec id="S2.SS1">
<title>Psychopathological and sociodemographic assessment</title>
<p>To evaluate validity evidence, the Reduced Taxonomy of Psychopathology Screening Scale (ER-HiTOP-R) was applied. This instrument is a shortened version of the 57-item ER-HiTOP (<xref ref-type="bibr" rid="B22">Oliveira and Corr&#x00EA;a, in press</xref>), based on the Hierarchical Taxonomy of Psychopathology (HiTOP) model (<xref ref-type="bibr" rid="B17">Krueger et al., 2018</xref>). The HiTOP model proposes a dimensional, hierarchical classification of mental disorders grounded in empirical evidence. The ER-HiTOP-R consists of 31 items rated on a 5-point scale (1 = &#x201C;Never,&#x201D; 5 = &#x201C;Always&#x201D;) and assesses 11 dimensions. Negative Affects (NA) measures frequent and intense experiences of sadness, anxiety, irritability, emotional instability, and suicidal thoughts (5 items, &#x03B1; = 0.85, &#x03C9; = 0.89). Fear Disorders (MD) assesses fear responses to various situations, people, and objects (5 items, &#x03B1; = 0.81, &#x03C9; = 0.83). Eating pathology (EA) evaluates disordered eating behaviors, including restriction, binge-eating, and purging (5 items, &#x03B1; = 0.78, &#x03C9; = 0.84). Sexual disorders (SD) identifies sexual dysfunctions related to arousal, desire, orgasm, pain, and aversion (6 items, &#x03B1; = 0.87, &#x03C9; = 0.91). Somatic complaints (QS) measures the frequency and intensity of physical discomforts such as headaches, gastrointestinal issues, and neurofunctional problems (5 items, &#x03B1; = 0.78, &#x03C9; = 0.82). Interpersonal distancing (ID) assesses social withdrawal, discomfort in social settings, and lack of social initiative or pleasure in interpersonal interactions (5 items, &#x03B1; = 0.80, &#x03C9; = 0.82). Thought disorders (TD) identifies perceptual disturbances, including hallucinations, delusions, and eccentric thoughts or behaviors (5 items, &#x03B1; = 0.64, &#x03C9; = 0.69). Manic symptoms (MS) captures elevated mood, increased energy, impulsiveness, aggression, and cognitive hyperactivity (5 items, &#x03B1; = 0.72, &#x03C9; = 0.79). Antisocial behavior (AB) characterizes rule-breaking, dishonesty, rebellion, and aggressive tendencies (5 items, &#x03B1; = 0.76, &#x03C9; = 0.78). Antagonistic externalizing (AE) assesses abusive relationships through manipulative behaviors, egocentrism, grandiosity, insensitivity, and attention-seeking (5 items, &#x03B1; = 0.80, &#x03C9; = 0.83). Disinhibited externalizing (DE) identifies impulsive, reckless behaviors, including substance abuse, irresponsibility, and risk-taking (6 items, &#x03B1; = 0.74, &#x03C9; = 0.77).</p>
<p>A sociodemographic questionnaire was also administered to collect data on age, sex, gender, education, and clinical history. The clinical history section included questions about the use of controlled medications, current participation in therapy, and any history of psychiatric hospitalization.</p>
</sec>
<sec id="S2.SS2">
<title>SSBA adaptation process for Brazil</title>
<p>The initial version of the SSBA was translated into Brazilian Portuguese by a researcher, psychiatrist, and professor at a Brazilian university. Then, the instrument was independently translated by two bilingual psychologists and subsequently reviewed by a psychology research group. These versions were then synthesized into a third version, which was back-translated into English. The adaptation process was supervised by one of the scale&#x2019;s original authors, Hidden for Anonymous Review, ensuring accuracy and reviewing both existing items and those added specifically for the Brazilian version.</p>
</sec>
<sec id="S2.SS3">
<title>Participants and data collection procedure</title>
<p>Participants were recruited through announcements on social media by convenience. The survey was accessed via a link on the Microsoft platform. The average response time was 22 min. This survey was reviewed and approved by the Research Ethics Committee Hidden for Anonymous Review, and all participants provided informed consent before completing the instruments. A total of 415 adults answered the survey, with a mean age of 43.33 years (SD = 13.43), and 323 (77.8%) were women, 92 (22.2%) men, and two identified as non-binary. Of the 415 adult participants, 270 (65.1%) identified as white, 15 (3.6%) as black, and 110 (26.5%) as mixed races. Regarding marital status, 118 (28.4%) were single, 188 (45.3%) were married, 60 (14.5%) were in a stable union, and 35 (8.4%) were divorced. The majority worked (309, 74.5%) in different areas of activity, distributed across different regions of Brazil. Regarding clinical profile, 133 (32%) were undergoing psychological treatment at the time of the survey, 77 (18.6%) were undergoing psychiatric treatment, and 87 (21%) were taking psychiatric medication. Of these, 87 (21%) had some mental health diagnosis, and 9 (2.2%) had been admitted to a psychiatric clinic for mental health reasons (see <xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Descriptive data of research participants (<italic>N</italic> = 450).</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Variable</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>n</italic></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">%</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Variable</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>N</italic></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">%</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Variable</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>n</italic></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">%</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="3"><bold>Sex</bold></td>
<td valign="top" align="left" colspan="3"><bold>Occupation</bold></td>
<td valign="top" align="left">Undergraduate student</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">10.4</td>
</tr>
<tr>
<td valign="top" align="left">Woman</td>
<td valign="top" align="center">321</td>
<td valign="top" align="center">77.3</td>
<td valign="top" align="left">Retired</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">8.2</td>
<td valign="top" align="left">Teacher</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">8.4</td>
</tr>
<tr>
<td valign="top" align="left">Man</td>
<td valign="top" align="center">92</td>
<td valign="top" align="center">22.2</td>
<td valign="top" align="left">Unemployed</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1.4</td>
<td valign="top" align="left">Private company</td>
<td valign="top" align="center">65</td>
<td valign="top" align="center">15.7</td>
</tr>
<tr>
<td valign="top" align="left">Non-binary</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="left">Stay-at-home</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1.4</td>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">93</td>
<td valign="top" align="center">22.4</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Color/race/ethnicity</bold></td>
<td valign="top" align="left"><bold>Study/internship</bold></td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">11.6</td>
<td valign="top" align="left">Public safety</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">11.1</td>
</tr>
<tr>
<td valign="top" align="left">White</td>
<td valign="top" align="center">270</td>
<td valign="top" align="center">65.1</td>
<td valign="top" align="left">Sick leave</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="left">Public service</td>
<td valign="top" align="center">131</td>
<td valign="top" align="center">31.6</td>
</tr>
<tr>
<td valign="top" align="left">Black</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">3.6</td>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">2.4</td>
<td valign="top" align="left" colspan="3"><bold>Internet usage</bold></td>
</tr>
<tr>
<td valign="top" align="left">Brown</td>
<td valign="top" align="center">110</td>
<td valign="top" align="center">26.5</td>
<td valign="top" align="left">Work</td>
<td valign="top" align="center">309</td>
<td valign="top" align="center">74.5</td>
<td valign="top" align="left">Up 2 h/day</td>
<td valign="top" align="center">173</td>
<td valign="top" align="center">41.7</td>
</tr>
<tr>
<td valign="top" align="left">Yellow</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">2.2</td>
<td valign="top" align="left" colspan="3"><bold>Family income</bold></td>
<td valign="top" align="left">Between 3 and 5 h/day</td>
<td valign="top" align="center">168</td>
<td valign="top" align="center">40.5</td>
</tr>
<tr>
<td valign="top" align="left">Indigenous</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1.4</td>
<td valign="top" align="left">Up to R&#x0024; 1,839.95</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">3.4</td>
<td valign="top" align="left">Between 6 and 8 h/day</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">12.5</td>
</tr>
<tr>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="left">Up to R&#x0024; 10,450.96</td>
<td valign="top" align="center">92</td>
<td valign="top" align="center">22.2</td>
<td valign="top" align="left">More than 8 h/day</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">5.1</td>
</tr>
<tr>
<td valign="top" align="left">I prefer not to declare</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="left">Up to R&#x0024; 22,435.43</td>
<td valign="top" align="center">123</td>
<td valign="top" align="center">29.6</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Marital status</bold></td>
<td valign="top" align="left" colspan="3"><bold>Payment</bold></td>
<td valign="top" align="left" rowspan="8"></td>
<td valign="top" align="left" rowspan="8"></td>
<td valign="top" align="left" rowspan="8"></td>
</tr>
<tr>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">118</td>
<td valign="top" align="center">28.4</td>
<td valign="top" align="left">Up to R&#x0024; 3,086.88</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">3.6</td>
</tr>
<tr>
<td valign="top" align="left">Stable union</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">14.5</td>
<td valign="top" align="left">Up to R&#x0024; 5,524.29</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">11.1</td>
</tr>
<tr>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">188</td>
<td valign="top" align="center">45.3</td>
<td valign="top" align="left">Up to R&#x0024; 847.69</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.2</td>
</tr>
<tr>
<td valign="top" align="left">Separated</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1.4</td>
<td valign="top" align="left">More than R&#x0024; 22,435.43</td>
<td valign="top" align="center">120</td>
<td valign="top" align="center">28.9</td>
</tr>
<tr>
<td valign="top" align="left">Divorced</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">8.4</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Widower</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1.7</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">I prefer not to declare</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.2</td>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S2.SS4">
<title>Data analysis</title>
<p>Data analysis was conducted to evaluate the psychometric properties of the adapted SSBA, addressing the study&#x2019;s aims of assessing content validity, internal structure, and associations with external variables. As a preliminary step, the distribution of item responses was examined to characterize the data. Descriptive statistics, including mean, standard deviation, quartiles, skewness, and kurtosis, were used to evaluate the items&#x2019; distributional properties. To gather evidence of content validity, a panel of experts conducted a judge-based evaluation of the items, followed by the application of the instrument to the target sample. A content validity index (CVI) of 80% or higher was considered acceptable.</p>
<p>Evidence of internal structure was assessed using confirmatory factor analysis (CFA) with the weighted least squares mean and variance adjusted (WLSMV) estimator for ordinal items. Factor loadings equal to or greater than 0.30 were considered acceptable indicators of item-factor relationships. CFA was conducted using the <italic>lavaan</italic> package (<xref ref-type="bibr" rid="B25">Rosseel, 2012</xref>), while descriptive analyses were performed using the <italic>skmr</italic> package (<xref ref-type="bibr" rid="B34">Waring et al., 2025</xref>). Reliability was evaluated using Cronbach&#x2019;s alpha and McDonald&#x2019;s omega, computed with the <italic>semTools</italic> package (<xref ref-type="bibr" rid="B14">Jorgensen and Johnson, 2022</xref>).</p>
<p>Model fit was assessed using standard goodness-of-fit indices: root mean square error of approximation (RMSEA, with reference values &#x003C; 0.10), Comparative Fit Index (CFI &#x003E; 0.90), and Tucker-Lewis Index (TLI &#x003E; 0.90), following recommendations by <xref ref-type="bibr" rid="B10">Hair et al. (2009)</xref>. Finally, validity evidence based on relationships with external variables was established through correlations between SSBA scores and the HiTOP psychopathology measure.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Validity evidence based on the internal structure of the SSBA</title>
<p>In the analysis of the distribution properties of the items, the data in <xref ref-type="table" rid="T3">Table 3</xref> indicate a violation of univariate normality in the items of substance use. Only shopping, internet use, and excessive commerce behaviors had scores between 3 and 4. The results suggest that, for most items, the behaviors or addictions were not prevalent among the respondents, except for psychostimulant use.</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Distribution properties.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Item</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">M</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">SD</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Min</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">P<sub>25</sub></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Mdn</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">P<sub>75</sub></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Max</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">sk</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">ku</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Hist</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Alcohol 1</td>
<td valign="top" align="center">1.586</td>
<td valign="top" align="center">0.956</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.624</td>
<td valign="top" align="center">0.118</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i001.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Alcohol 2</td>
<td valign="top" align="center">1.092</td>
<td valign="top" align="center">0.713</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.298</td>
<td valign="top" align="center">8.338</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i002.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Alcohol 3</td>
<td valign="top" align="center">1.292</td>
<td valign="top" align="center">0.890</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.595</td>
<td valign="top" align="center">3.358</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i003.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Alcohol 4</td>
<td valign="top" align="center">1.108</td>
<td valign="top" align="center">0.739</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.083</td>
<td valign="top" align="center">6.722</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Tobacco 1</td>
<td valign="top" align="center">1.012</td>
<td valign="top" align="center">0.830</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.282</td>
<td valign="top" align="center">8.022</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Tobacco 2</td>
<td valign="top" align="center">0.966</td>
<td valign="top" align="center">0.819</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.643</td>
<td valign="top" align="center">10.112</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Tobacco 3</td>
<td valign="top" align="center">0.961</td>
<td valign="top" align="center">0.795</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.720</td>
<td valign="top" align="center">11.429</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Tobacco 4</td>
<td valign="top" align="center">1.019</td>
<td valign="top" align="center">0.940</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.677</td>
<td valign="top" align="center">8.868</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Psychost 1</td>
<td valign="top" align="center">0.814</td>
<td valign="top" align="center">0.483</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.330</td>
<td valign="top" align="center">5.744</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i004.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Psychost 2</td>
<td valign="top" align="center">0.805</td>
<td valign="top" align="center">0.443</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">&#x2212;0.676</td>
<td valign="top" align="center">1.437</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i004.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Psychost 3</td>
<td valign="top" align="center">0.841</td>
<td valign="top" align="center">0.559</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.783</td>
<td valign="top" align="center">12.623</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Psychost 4</td>
<td valign="top" align="center">0.829</td>
<td valign="top" align="center">0.522</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.439</td>
<td valign="top" align="center">13.182</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Gambling 1</td>
<td valign="top" align="center">0.949</td>
<td valign="top" align="center">0.677</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.922</td>
<td valign="top" align="center">8.794</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Gambling 2</td>
<td valign="top" align="center">0.867</td>
<td valign="top" align="center">0.564</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.234</td>
<td valign="top" align="center">16.359</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Gambling 3</td>
<td valign="top" align="center">0.867</td>
<td valign="top" align="center">0.555</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.233</td>
<td valign="top" align="center">17.095</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Gambling 4</td>
<td valign="top" align="center">0.855</td>
<td valign="top" align="center">0.528</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.824</td>
<td valign="top" align="center">15.064</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Shopping 1</td>
<td valign="top" align="center">1.942</td>
<td valign="top" align="center">0.993</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.484</td>
<td valign="top" align="center">0.036</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i005.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Shopping 2</td>
<td valign="top" align="center">1.296</td>
<td valign="top" align="center">0.832</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.939</td>
<td valign="top" align="center">5.045</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i003.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Shopping 3</td>
<td valign="top" align="center">1.508</td>
<td valign="top" align="center">0.955</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.295</td>
<td valign="top" align="center">1.999</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i006.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Shopping 4</td>
<td valign="top" align="center">1.325</td>
<td valign="top" align="center">0.913</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.033</td>
<td valign="top" align="center">4.873</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Videoga 1</td>
<td valign="top" align="center">1.347</td>
<td valign="top" align="center">1.050</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.551</td>
<td valign="top" align="center">2.533</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Videoga 2</td>
<td valign="top" align="center">1.229</td>
<td valign="top" align="center">0.987</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.013</td>
<td valign="top" align="center">4.878</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">V&#x00ED;deoga 3</td>
<td valign="top" align="center">1.181</td>
<td valign="top" align="center">0.952</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.079</td>
<td valign="top" align="center">5.346</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">V&#x00ED;deoga 4</td>
<td valign="top" align="center">1.128</td>
<td valign="top" align="center">0.868</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.202</td>
<td valign="top" align="center">6.738</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Eating 1</td>
<td valign="top" align="center">2.181</td>
<td valign="top" align="center">1.060</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.207</td>
<td valign="top" align="center">&#x2212;0.183</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i007.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Eating 2</td>
<td valign="top" align="center">1.800</td>
<td valign="top" align="center">1.132</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.985</td>
<td valign="top" align="center">0.478</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i008.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Eating 3</td>
<td valign="top" align="center">1.795</td>
<td valign="top" align="center">1.137</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.5</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.956</td>
<td valign="top" align="center">0.432</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i008.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Eating 4</td>
<td valign="top" align="center">1.788</td>
<td valign="top" align="center">1.195</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.5</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.039</td>
<td valign="top" align="center">0.423</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i008.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Sex 1</td>
<td valign="top" align="center">1.458</td>
<td valign="top" align="center">1.013</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.359</td>
<td valign="top" align="center">1.640</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i003.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Sex 2</td>
<td valign="top" align="center">1.296</td>
<td valign="top" align="center">0.954</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.848</td>
<td valign="top" align="center">3.707</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Sex 3</td>
<td valign="top" align="center">1.439</td>
<td valign="top" align="center">1.043</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.476</td>
<td valign="top" align="center">1.941</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Sex 4</td>
<td valign="top" align="center">1.205</td>
<td valign="top" align="center">0.900</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.163</td>
<td valign="top" align="center">5.431</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Work 1</td>
<td valign="top" align="center">2.193</td>
<td valign="top" align="center">1.232</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.311</td>
<td valign="top" align="center">&#x2212;0.837</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i009.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Work 2</td>
<td valign="top" align="center">1.752</td>
<td valign="top" align="center">1.144</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">3.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.929</td>
<td valign="top" align="center">&#x2212;0.039</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i010.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Work 3</td>
<td valign="top" align="center">1.720</td>
<td valign="top" align="center">1.229</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.126</td>
<td valign="top" align="center">0.445</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i010.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Work 4</td>
<td valign="top" align="center">1.723</td>
<td valign="top" align="center">1.237</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.147</td>
<td valign="top" align="center">0.388</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i010.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Self-mut 1</td>
<td valign="top" align="center">0.851</td>
<td valign="top" align="center">0.587</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.683</td>
<td valign="top" align="center">10.402</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Self-mut 2</td>
<td valign="top" align="center">0.834</td>
<td valign="top" align="center">0.576</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.058</td>
<td valign="top" align="center">14.963</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Self-mut 3</td>
<td valign="top" align="center">0.872</td>
<td valign="top" align="center">0.663</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.522</td>
<td valign="top" align="center">14.501</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Self-mut 4</td>
<td valign="top" align="center">0.853</td>
<td valign="top" align="center">0.645</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.682</td>
<td valign="top" align="center">16.562</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Partner 1</td>
<td valign="top" align="center">1.708</td>
<td valign="top" align="center">1.148</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.5</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.698</td>
<td valign="top" align="center">&#x2212;0.144</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i008.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Partner 2</td>
<td valign="top" align="center">1.325</td>
<td valign="top" align="center">0.979</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.563</td>
<td valign="top" align="center">2.636</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Partner 3</td>
<td valign="top" align="center">1.523</td>
<td valign="top" align="center">1.105</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.201</td>
<td valign="top" align="center">1.085</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i003.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Partner 4</td>
<td valign="top" align="center">1.318</td>
<td valign="top" align="center">1.002</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.688</td>
<td valign="top" align="center">3.012</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Internet 1</td>
<td valign="top" align="center">2.858</td>
<td valign="top" align="center">1.168</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">&#x2212;0.077</td>
<td valign="top" align="center">&#x2212;0.627</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i011.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Internet 2</td>
<td valign="top" align="center">2.402</td>
<td valign="top" align="center">1.233</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.321</td>
<td valign="top" align="center">&#x2212;0.830</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i012.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Internet 3</td>
<td valign="top" align="center">2.024</td>
<td valign="top" align="center">1.257</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.778</td>
<td valign="top" align="center">&#x2212;0.354</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i013.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Internet 4</td>
<td valign="top" align="center">2.111</td>
<td valign="top" align="center">1.312</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.685</td>
<td valign="top" align="center">&#x2212;0.711</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i013.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">AngerExp 1</td>
<td valign="top" align="center">1.752</td>
<td valign="top" align="center">0.975</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.776</td>
<td valign="top" align="center">0.533</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i014.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">AngerExp 2</td>
<td valign="top" align="center">1.439</td>
<td valign="top" align="center">0.909</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.433</td>
<td valign="top" align="center">2.277</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i003.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">AngerExp 3</td>
<td valign="top" align="center">1.434</td>
<td valign="top" align="center">0.953</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.668</td>
<td valign="top" align="center">3.090</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i003.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">AngerExp 4</td>
<td valign="top" align="center">1.395</td>
<td valign="top" align="center">0.908</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.616</td>
<td valign="top" align="center">2.800</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i003.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Hair-pulling 1</td>
<td valign="top" align="center">0.966</td>
<td valign="top" align="center">0.728</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.186</td>
<td valign="top" align="center">9.047</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Hair-pulling 2</td>
<td valign="top" align="center">0.947</td>
<td valign="top" align="center">0.720</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.554</td>
<td valign="top" align="center">11.894</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Hair-pulling 3</td>
<td valign="top" align="center">0.930</td>
<td valign="top" align="center">0.693</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.696</td>
<td valign="top" align="center">14.144</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Hair-pulling 4</td>
<td valign="top" align="center">0.918</td>
<td valign="top" align="center">0.687</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.874</td>
<td valign="top" align="center">15.518</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Skin picking 1</td>
<td valign="top" align="center">1.373</td>
<td valign="top" align="center">1.060</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.328</td>
<td valign="top" align="center">1.600</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i003.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Skin picking 2</td>
<td valign="top" align="center">1.333</td>
<td valign="top" align="center">1.097</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.519</td>
<td valign="top" align="center">1.917</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Skin picking 3</td>
<td valign="top" align="center">1.212</td>
<td valign="top" align="center">0.970</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.835</td>
<td valign="top" align="center">3.902</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Skin picking 4</td>
<td valign="top" align="center">1.275</td>
<td valign="top" align="center">1.043</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.727</td>
<td valign="top" align="center">3.013</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Exercise 1</td>
<td valign="top" align="center">1.422</td>
<td valign="top" align="center">0.949</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.491</td>
<td valign="top" align="center">2.818</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i003.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Exercise 2</td>
<td valign="top" align="center">1.248</td>
<td valign="top" align="center">0.850</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.091</td>
<td valign="top" align="center">5.710</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Exercise 3</td>
<td valign="top" align="center">1.516</td>
<td valign="top" align="center">1.116</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.438</td>
<td valign="top" align="center">1.578</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i003.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Exercise 4</td>
<td valign="top" align="center">1.135</td>
<td valign="top" align="center">0.699</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.431</td>
<td valign="top" align="center">9.592</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Study 1</td>
<td valign="top" align="center">1.636</td>
<td valign="top" align="center">1.026</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.956</td>
<td valign="top" align="center">0.531</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i015.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Study 2</td>
<td valign="top" align="center">1.354</td>
<td valign="top" align="center">0.899</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.691</td>
<td valign="top" align="center">3.159</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i003.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Study 3</td>
<td valign="top" align="center">1.523</td>
<td valign="top" align="center">1.107</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.508</td>
<td valign="top" align="center">1.881</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i003.jpg"/></td>
</tr>
<tr>
<td valign="top" align="left">Study 4</td>
<td valign="top" align="center">1.255</td>
<td valign="top" align="center">0.858</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.209</td>
<td valign="top" align="center">5.914</td>
<td valign="top" align="center"><inline-graphic xlink:href="fpsyg-16-1642665-i016.jpg"/></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>The histogram provides a visual representation of the response distribution for each item.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The dimensionality of the SSBA was assessed using CFA to evaluate the model&#x2019;s fit to the data. The latent variable behavioral addictions was represented by 19 observed variables, as listed in <xref ref-type="table" rid="T1">Table 1</xref>, with opium and marijuana removed due to high collinearity with psychostimulants.</p>
<p>Model adjustments were based on the polychoric correlation matrix of the items, using the WLSMV estimation method with oblique rotations. The analysis was conducted in Rusing the &#x201C;lavaan&#x201D; package. The measurement model demonstrated a satisfactory fit to the data {&#x03C7;<sup>2</sup> = 5,527.793, <italic>p</italic> &#x003C; 0.001; &#x03C7;<sup>2</sup>/df = 2.665; <italic>n</italic> = 450; CFI = 0.888; NFI = 0.834; TLI = 0.877; SRMR = 0.004; RMSEA = 0.063; <italic>p</italic>(RMSEA &#x2264; 0.05) &#x003C; 0.001; 90% CI [0.061, 0.065]}. Factor loadings ranged from 0.694 to 0.980, as shown in <xref ref-type="table" rid="T4">Table 4</xref>. Scale reliability indicated satisfactory internal consistency, with estimates ranging from 0.839 to 0.975.</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Factor loadings.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Item</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Load</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Factor</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">&#x03B1;</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">&#x03C9;</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Item</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Load</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Factor</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">&#x03B1;</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">&#x03C9;</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Alcohol 1</td>
<td valign="top" align="center">0.694</td>
<td valign="top" align="center">Alcohol</td>
<td valign="top" align="center">0.840</td>
<td valign="top" align="center">0.839</td>
<td valign="top" align="left">Self-mut 1</td>
<td valign="top" align="center">0.956</td>
<td valign="top" align="center">Self-mut</td>
<td valign="top" align="center">0.973</td>
<td valign="top" align="center">0.974</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol 2</td>
<td valign="top" align="center">0.781</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Self-mut 2</td>
<td valign="top" align="center">0.954</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Alcohol 3</td>
<td valign="top" align="center">0.704</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Self-mut 3</td>
<td valign="top" align="center">0.918</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Alcohol 4</td>
<td valign="top" align="center">0.880</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Self-mut 4</td>
<td valign="top" align="center">0.980</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Tobacco 1</td>
<td valign="top" align="center">0.944</td>
<td valign="top" align="center">Tobacco</td>
<td valign="top" align="center">0.962</td>
<td valign="top" align="center">0.964</td>
<td valign="top" align="left">Partner 1</td>
<td valign="top" align="center">0.846</td>
<td valign="top" align="center">Partner</td>
<td valign="top" align="center">0.937</td>
<td valign="top" align="center">0.937</td>
</tr>
<tr>
<td valign="top" align="left">Tobacco 2</td>
<td valign="top" align="center">0.940</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Partner 2</td>
<td valign="top" align="center">0.913</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Tobacco 3</td>
<td valign="top" align="center">0.904</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Partner 3</td>
<td valign="top" align="center">0.904</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Tobacco 4</td>
<td valign="top" align="center">0.939</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Partner 4</td>
<td valign="top" align="center">0.900</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Psychost 1</td>
<td valign="top" align="center">0.966</td>
<td valign="top" align="center">Psychost</td>
<td valign="top" align="center">0.943</td>
<td valign="top" align="center">0.932</td>
<td valign="top" align="left">Internet 1</td>
<td valign="top" align="center">0.812</td>
<td valign="top" align="center">Internet</td>
<td valign="top" align="center">0.910</td>
<td valign="top" align="center">0.912</td>
</tr>
<tr>
<td valign="top" align="left">Psychost 2</td>
<td valign="top" align="center">0.977</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Internet 2</td>
<td valign="top" align="center">0.900</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Psychost 3</td>
<td valign="top" align="center">0.823</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Internet 3</td>
<td valign="top" align="center">0.818</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Psychost 4</td>
<td valign="top" align="center">0.786</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Internet 4</td>
<td valign="top" align="center">0.862</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Gambling 1</td>
<td valign="top" align="center">0.851</td>
<td valign="top" align="center">Gambling</td>
<td valign="top" align="center">0.945</td>
<td valign="top" align="center">0.945</td>
<td valign="top" align="left">AngerExp 1</td>
<td valign="top" align="center">0.786</td>
<td valign="top" align="center">Anger Exp</td>
<td valign="top" align="center">0.908</td>
<td valign="top" align="center">0.909</td>
</tr>
<tr>
<td valign="top" align="left">Gambling 2</td>
<td valign="top" align="center">0.940</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">AngerExp 2</td>
<td valign="top" align="center">0.905</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Gambling 3</td>
<td valign="top" align="center">0.878</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">AngerExp 3</td>
<td valign="top" align="center">0.809</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Gambling 4</td>
<td valign="top" align="center">0.957</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">AngerExp 4</td>
<td valign="top" align="center">0.887</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Shopping 1</td>
<td valign="top" align="center">0.709</td>
<td valign="top" align="center">Shopping</td>
<td valign="top" align="center">0.881</td>
<td valign="top" align="center">0.883</td>
<td valign="top" align="left">Hair-pulling 1</td>
<td valign="top" align="center">0.938</td>
<td valign="top" align="center">Hair Pulling</td>
<td valign="top" align="center">0.975</td>
<td valign="top" align="center">0.974</td>
</tr>
<tr>
<td valign="top" align="left">Shopping 2</td>
<td valign="top" align="center">0.873</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Hair-pulling 2</td>
<td valign="top" align="center">0.950</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Shopping 3</td>
<td valign="top" align="center">0.815</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Hair-pulling 3</td>
<td valign="top" align="center">0.953</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Shopping 4</td>
<td valign="top" align="center">0.855</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Hair-pulling 4</td>
<td valign="top" align="center">0.967</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">V&#x00ED;deog 1</td>
<td valign="top" align="center">0.871</td>
<td valign="top" align="center">Videog</td>
<td valign="top" align="center">0.936</td>
<td valign="top" align="center">0.938</td>
<td valign="top" align="left">Skin picking 1</td>
<td valign="top" align="center">0.918</td>
<td valign="top" align="center">Skin picking</td>
<td valign="top" align="center">0.967</td>
<td valign="top" align="center">0.968</td>
</tr>
<tr>
<td valign="top" align="left">V&#x00ED;deog 2</td>
<td valign="top" align="center">0.949</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Skin picking 2</td>
<td valign="top" align="center">0.959</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">V&#x00ED;deog 3</td>
<td valign="top" align="center">0.838</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Skin picking 3</td>
<td valign="top" align="center">0.925</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">V&#x00ED;deog 4</td>
<td valign="top" align="center">0.902</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Skin picking 4</td>
<td valign="top" align="center">0.951</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Eating 1</td>
<td valign="top" align="center">0.831</td>
<td valign="top" align="center">Eating</td>
<td valign="top" align="center">0.932</td>
<td valign="top" align="center">0.934</td>
<td valign="top" align="left">Exercise 1</td>
<td valign="top" align="center">0.898</td>
<td valign="top" align="center">Exercise</td>
<td valign="top" align="center">0.904</td>
<td valign="top" align="center">0.914</td>
</tr>
<tr>
<td valign="top" align="left">Eating 2</td>
<td valign="top" align="center">0.920</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Exercise 2</td>
<td valign="top" align="center">0.908</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Eating 3</td>
<td valign="top" align="center">0.865</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Exercise 3</td>
<td valign="top" align="center">0.821</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Eating 4</td>
<td valign="top" align="center">0.906</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Exercise 4</td>
<td valign="top" align="center">0.781</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Sex 1</td>
<td valign="top" align="center">0.839</td>
<td valign="top" align="center">Sex</td>
<td valign="top" align="center">0.932</td>
<td valign="top" align="center">0.933</td>
<td valign="top" align="left">Study 1</td>
<td valign="top" align="center">0.830</td>
<td valign="top" align="center">Study</td>
<td valign="top" align="center">0.908</td>
<td valign="top" align="center">0.911</td>
</tr>
<tr>
<td valign="top" align="left">Sex 2</td>
<td valign="top" align="center">0.930</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Study 2</td>
<td valign="top" align="center">0.905</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Sex 3</td>
<td valign="top" align="center">0.882</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Study 3</td>
<td valign="top" align="center">0.833</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Sex 4</td>
<td valign="top" align="center">0.878</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">Study 4</td>
<td valign="top" align="center">0.838</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Work 1</td>
<td valign="top" align="center">0.844</td>
<td valign="top" align="center">Work</td>
<td valign="top" align="center">0.918</td>
<td valign="top" align="center">0.917</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Work 2</td>
<td valign="top" align="center">0.931</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Work 3</td>
<td valign="top" align="center">0.815</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Work 4</td>
<td valign="top" align="center">0.845</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S3.SS2">
<title>HiTOP model validation through statistical correlations</title>
<p>In the proposal for the clinical utility of the HiTOP model (<xref ref-type="bibr" rid="B26">Ruggero et al., 2019</xref>), convergence between the BSSA and the HiTOP-R was proven, through the <italic>lavInspect</italic> and <italic>gplots</italic> packages. The data indicated serious and positive correlations between AN and Shopping (<italic>rr</italic> = 0.358); excessive Internet use (<italic>rr</italic> = 0.676) and Anger expression (<italic>rr</italic> = 0.455); between DM and Shopping (<italic>r</italic> = 0.436); Eating (<italic>r</italic> = 0.444); Work (<italic>r</italic> = 0.341), Internet (<italic>r</italic> = 0.608); Anger expression (<italic>r</italic> = 0.385); Skin picking (<italic>r</italic> = 0.401) and Study (<italic>r</italic> = 0.329); between PA and Shopping (<italic>r</italic> = 0.445); Overeating (<italic>r</italic> = 0.857); Work (<italic>r</italic> = 0.311); Internet (<italic>r</italic> = 0.476); Anger Expression (<italic>r</italic> = 0.361); between ID and Internet (<italic>r</italic> = 0.413); between SQ and Eating (<italic>r</italic> = 0.457); Work (<italic>r</italic> = 0.372); Internet (<italic>r</italic> = 0.449) and Anger expression (<italic>r</italic> = 0.323); between TP and Shopping (<italic>r</italic> = 0.307); Video game (<italic>r</italic> = 0.333); Eating (<italic>r</italic> = 0.348); Sex (<italic>r</italic> = 0.334); Work (<italic>r</italic> = 0.323); Partner (<italic>r</italic> = 0.344); Internet (<italic>r</italic> = 0.508); Anger expression (<italic>r</italic> = 0.384); Skin picking (<italic>r</italic> = 0.359) and Study (<italic>r</italic> = 0.339); ED and Alcohol (<italic>r</italic> = 0.327); Shopping (<italic>r</italic> = 0.537); Video Game (<italic>r</italic> = 0.408); Eating (<italic>r</italic> = 0.532); Sex (<italic>r</italic> = 0.439); Internet (<italic>r</italic> = 0.683); Anger expression (<italic>r</italic> = 0.595) and Skin picking (<italic>r</italic> = 0.311); between CA and Alcohol (<italic>r</italic> = 0.353); Shopping (<italic>r</italic> = 0.398); Video game (<italic>r</italic> = 0.373); Eating (<italic>r</italic> = 0.336); Work (<italic>r</italic> = 0.304); Partner (<italic>r</italic> = 0.315); Internet (<italic>r</italic> = 0.448); Anger expression (<italic>r</italic> = 0.364); SM and Shopping (<italic>r</italic> = 0.409); Eating (<italic>r</italic> = 0.328); Work (<italic>r</italic> = 0.319); Partner (<italic>r</italic> = 0.333); Internet (<italic>r</italic> = 0.474); Anger outburst (<italic>r</italic> = 0.404); Study (<italic>r</italic> = 0.318) and EE and Alcohol (<italic>r</italic> = 0.323); Tobacco (<italic>r</italic> = 0.330); Shopping (<italic>r</italic> = 0.431); Video games (<italic>r</italic> = 0.384); Eating (<italic>r</italic> = 0.300); Sex (<italic>r</italic> = 0.348); Internet (<italic>r</italic> = 0.389); Expression of anger (<italic>r</italic> = 0.369) and Skin picking (<italic>r</italic> = 0.304). There was no significant manifestation in Behavioral Dependence and Substance Addictions on Psychostimulants, Gambling, Self-mutilation, Hair pulling and Exercise. <xref ref-type="fig" rid="F1">Figure 1</xref> represents the strongest correlations between the instruments.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Correlations between the instruments.</p></caption>
<alt-text>Clustered heatmap showing correlations between various behaviors and emotions. Labels on the right include activities like shopping, video gaming, and gambling, among others. A color scale from -0.5 to 0.5 indicates correlation strength, ranging from blue to red. Dendrograms on the top and left illustrate clustering patterns.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-16-1642665-g001.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>Among the challenges of developing more effective interventions for behavioral addictions and substance use in Brazil, the adaptation of the SSBA and the initial studies on its validity represent significant contributions. These efforts enhance the field and provide professionals with better tools for assessment and intervention. The SSBA studies indicate that the diagnostic categories allow for the identification of reliable measures with strong psychometric indicators. In addition to external evidence supporting the scale&#x2019;s internal consistency, studies on content validity during the adaptation process and its convergence with psychopathology measures further reinforce the instrument&#x2019;s reliability.</p>
<p>The SSBA structure remained consistent, though psychostimulant, opium, and cannabinoid use measures exhibited high collinearity. Future studies with clinical samples may reveal structural refinements, aligning with the findings of <xref ref-type="bibr" rid="B12">Hodgins et al. (2023)</xref>. Regarding internal consistency, the SSBA demonstrated excellent reliability indicators, with alpha values exceeding 0.90, corroborating the findings of <xref ref-type="bibr" rid="B32">Thege et al. (2023)</xref>.</p>
<p>Behavioral addictions generally demonstrate strong psychometric indices and align with psychopathological aspects, making the instrument a promising, brief, and effective screening tool. It can assess the functional impact of addictions, including both emotional and behavioral aspects, as highlighted by <xref ref-type="bibr" rid="B32">Thege et al. (2023)</xref>, supporting future diagnoses and health interventions.</p>
<p>Despite these contributions, some limitations must be acknowledged. The use of convenience sampling may have introduced selection bias, reducing the generalizability of results beyond the studied population. Additionally, the absence of clinical samples limits conclusions about the SSBA&#x2019;s sensitivity and specificity in detecting clinically significant cases. Furthermore, gender imbalance in the sample, specifically the underrepresentation of men, warrants attention, as it may obscure potential gender-specific patterns. Future research should consider stratified or male-focused sampling to enhance representativeness. In addition, we acknowledge the role of self-selection bias, as individuals with greater interest or concern about the topic may have been more likely to participate. These limitations suggest caution in interpreting the findings and underscore the importance of future validation studies with diverse and clinical populations to improve the instrument&#x2019;s diagnostic precision and applicability.</p>
<p>Nevertheless, the SSBA&#x2019;s potential for clinical and policy use is notable. As a brief, psychometrically sound screening tool, it can support early detection strategies in primary care, mental health, and educational settings. Its ability to capture both behavioral and emotional dimensions of addiction aligns well with integrative care models and public health frameworks. For policymakers, the availability of a validated measure tailored to the Brazilian context fills an important gap, enabling more accurate population-level monitoring and informing the development of targeted prevention and intervention programs.</p>
</sec>
<sec id="S5">
<title>Final remarks</title>
<p>The measurement of addictive behaviors in Brazil is limited, with no valid screening studies to date. The SSBA, supported by validity evidence, can be a valuable tool in clinical and health settings. Future research in Portuguese-speaking countries should apply the scale in diverse contexts, such as police forces, schools, and universities, to support public policy and management strategies. A key limitation of this study is its use of a convenience sample, which does not reflect clinical populations. Future research should address this by including samples that represent specific addictive behaviors, like substance use. To establish norms, future studies should broaden sampling in Brazil to include clinical and non-clinical groups and invest in creating normative tables and ROC curve analyses, as recommended by <xref ref-type="bibr" rid="B28">Schluter et al. (2020)</xref>.</p>
</sec>
</body>
<back>
<sec id="S6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The data analyzed in this study is subject to the following licenses/restrictions: Request by email. Requests to access these datasets should be directed to <email>crisfaiad@gmail.com</email>.</p>
</sec>
<sec id="S7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Instituto de Ci&#x00EA;ncias Humanas e Sociais da Universidade de Bras&#x00ED;lia&#x2013;UNB. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was not obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article because no identifiable data was obtained that could harm privacy of participants.</p>
</sec>
<sec id="S8" sec-type="author-contributions">
<title>Author contributions</title>
<p>CF: Investigation, Funding acquisition, Writing &#x2013; review &#x0026; editing, Formal analysis, Conceptualization, Data curation, Writing &#x2013; original draft, Methodology. JM: Validation, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Formal analysis, Data curation. HT: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. DH: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. LM: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>The authors declare that financial support was received for the research and/or publication of this article. Cristiane Faiad declared Research Productivity Grant from CNPq (Brazilian National Council for Scientific and Technological Development).</p>
</sec>
<sec id="S10" sec-type="COI-statement">
<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 id="S11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The authors declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="S12" sec-type="disclaimer">
<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>
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