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<front>
<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.2023.1121986</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Hypothesis and Theory</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Emotion regulation moderates the association between COVID-19 stress and mental distress: findings on buffering, exacerbation, and gender differences in a cross-sectional study from Norway</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Haver</surname> <given-names>Annie</given-names></name><xref rid="aff1" ref-type="aff"><sup>1</sup></xref><xref rid="aff2" ref-type="aff"><sup>2</sup></xref><xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/633218/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Krampe</surname> <given-names>Henning</given-names></name><xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1060029/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Danbolt</surname> <given-names>Lars Johan</given-names></name><xref rid="aff4" ref-type="aff"><sup>4</sup></xref><xref rid="aff5" ref-type="aff"><sup>5</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1668465/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>St&#x00E5;lsett</surname> <given-names>Gry</given-names></name><xref rid="aff4" ref-type="aff"><sup>4</sup></xref><xref rid="aff6" ref-type="aff"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author"><name><surname>Schnell</surname> <given-names>Tatjana</given-names></name><xref rid="aff4" ref-type="aff"><sup>4</sup></xref><xref rid="aff7" ref-type="aff"><sup>7</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/431083/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Faculty of Social Sciences, Norwegian School of Hotel Management, University of Stavanger</institution>, <addr-line>Stavanger</addr-line>, <country>Norway</country></aff>
<aff id="aff2"><sup>2</sup><institution>School of Psychology, Faculty of the Arts, Social Sciences, and Humanities, University of Wollongong</institution>, <addr-line>Wollongong, NSW</addr-line>, <country>Australia</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Anesthesiology and Intensive Care Medicine, Charit&#x00E9; - Universit&#x00E4;tsmedizin Berlin, Corporate Member of Freie Universit&#x00E4;t Berlin and Humboldt-Universit&#x00E4;t zu Berlin</institution>, <addr-line>Berlin</addr-line>, <country>Germany</country></aff>
<aff id="aff4"><sup>4</sup><institution>MF Norwegian School of Theology, Religion and Society</institution>, <addr-line>Majorstuen, Oslo</addr-line>, <country>Norway</country></aff>
<aff id="aff5"><sup>5</sup><institution>Centre for Psychology of Religion, Innlandet Hospital Trust</institution>, <addr-line>Brumunddal</addr-line>, <country>Norway</country></aff>
<aff id="aff6"><sup>6</sup><institution>Modum Bad Psychiatric Center</institution>, <addr-line>Vikersund</addr-line>, <country>Norway</country></aff>
<aff id="aff7"><sup>7</sup><institution>Existential Psychology Lab, Institute of Psychology, University of Innsbruck</institution>, <addr-line>Innsbruck, Tyrol</addr-line>, <country>Austria</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by">
<p>Edited by: Changiz Mohiyeddini, Oakland University William Beaumont School of Medicine, United States</p>
</fn>
<fn id="fn0002" fn-type="edited-by">
<p>Reviewed by: Xihui Chen, Zhejiang University of Technology, China; Naresh Poondla, Icahn School of Medicine at Mount Sinai, United States; Brahmi Mohsen, University of Sfax, Tunisia</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Annie Haver, <email>annie.haver@uis.no</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>06</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1121986</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>05</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Haver, Krampe, Danbolt, St&#x00E5;lsett and Schnell.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Haver, Krampe, Danbolt, St&#x00E5;lsett and Schnell</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 xml:lang="nb">
<sec>
<title>Background</title>
<p>Maintaining good mental health is important during a crisis. However, little attention has been given to how people achieve this, or how they evaluate emotions associated with stressors, such as the COVID-19 pandemic. This study aims to (1) investigate whether emotion regulation, in particular cognitive reappraisal and suppression, moderates the relationship between COVID-19 stress and general mental distress and (2) examine gender differences in the interrelations between COVID-19 stress, emotion regulation, and mental distress.</p>
</sec>
<sec>
<title>Methods</title>
<p>Data from a population in Norway (<italic>n</italic> =&#x2009;1.225) were collected using a cross-sectional survey during the early months of the COVID-19 pandemic. Emotion regulation was measured using the Emotion Regulation Questionnaire Scale (ERQ), COVID-19 stress with the COVID-19 Stress Scale, and mental distress with the Patient Health Questionnaire 4 (PHQ-4). Moderation analyses were conducted using the PROCESS macro for SPSS.</p>
</sec>
<sec>
<title>Results</title>
<p>There was a strong association between COVID-19 stress and general mental distress (<italic>r</italic> =&#x2009;0.61). The moderation analyses showed substantial moderation effects of cognitive reappraisal and suppression on the relationship between COVID-19 stress and mental distress. Cognitive reappraisal served as a buffer (<italic>p</italic> =&#x2009;0.001) and suppression (<italic>p</italic> =&#x2009;0.002) exacerbated the relation between COVID-19 stress and mental distress. Men had higher scores of suppression (<italic>p</italic> &#x003C;&#x2009;0.001), and women had higher scores of cognitive reappraisal (<italic>p</italic> =&#x2009;0.025). The buffering effect of cognitive reappraisal presented itself only in women (<italic>p</italic> &#x003C;&#x2009;0.001), while the exacerbation effect of suppression appeared only in men (<italic>p</italic> &#x003C;&#x2009;0.001).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The current study suggests that COVID-19 pandemic-related stress is easier to deal with for those who have the tendency to cognitively reappraise. In contrast, suppression is associated with symptoms of depression and anxiety. The prevention of mental distress can be supported by guiding people about the importance of using healthy emotion regulation strategies, as well as helping them to become more aware of the way they interpret and regulate their emotions. Gender differences in emotion regulation suggest gender awareness, e.g., tailored programs for men and women.</p>
</sec>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>anxiety</kwd>
<kwd>depression</kwd>
<kwd>emotion regulation</kwd>
<kwd>moderator analysis</kwd>
<kwd>public mental health</kwd>
<kwd>reappraisal</kwd>
<kwd>suppression</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="134"/>
<page-count count="15"/>
<word-count count="11972"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Health Psychology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec5" sec-type="intro">
<title>Introduction</title>
<p>In early 2020, SARS-CoV-2 infected millions of people and the death toll associated with COVID-19 increased rapidly worldwide (<xref ref-type="bibr" rid="ref125">WHO, 2020</xref>; <xref ref-type="bibr" rid="ref107">Sch&#x00F6;ley et al., 2022</xref>). To limit and delay the COVID-19 outbreak, societies went into lockdown, and both the pandemic and its aftermath changed the daily life of most people globally (<xref ref-type="bibr" rid="ref85">OECD, 2021</xref>; <xref ref-type="bibr" rid="ref127">WHO, 2022b</xref>). During the first year of the pandemic the global prevalence of anxiety and depression increased by 25% (<xref ref-type="bibr" rid="ref126">WHO, 2022a</xref>). This increase in mental distress is documented in numerous systematic reviews and meta-analyses reporting that the COVID-19 pandemic has generated major psychological health problems worldwide (e.g., <xref ref-type="bibr" rid="ref21">C&#x00E9;nat et al., 2021</xref>; <xref ref-type="bibr" rid="ref128">Wu et al., 2021</xref>; <xref ref-type="bibr" rid="ref96">Robinson et al., 2022</xref>). Today, research shows that many people have rebounded from the mental distress caused by the pandemic, mostly returning to previous health. However, a small but significant number of individuals are still suffering from mental health problems (<xref ref-type="bibr" rid="ref74">Lopez-Leon et al., 2021</xref>; <xref ref-type="bibr" rid="ref102">Saunders et al., 2021</xref>; <xref ref-type="bibr" rid="ref96">Robinson et al., 2022</xref>). Moreover, mental health problems are associated with long COVID, a chronic condition with high incidence rates (<xref ref-type="bibr" rid="ref74">Lopez-Leon et al., 2021</xref>; <xref ref-type="bibr" rid="ref99">Sachs et al., 2022</xref>).</p>
<p>According to the Lancet COVID-19 commission, governments around the world were too slow to acknowledge the seriousness of the pandemic and act with urgency in response (<xref ref-type="bibr" rid="ref99">Sachs et al., 2022</xref>). Norway with a population of 5.3 million people was probably among the first countries to implement a nationwide lockdown on March 12, 2020 (<xref ref-type="bibr" rid="ref120">Ursin et al., 2020</xref>; <xref ref-type="bibr" rid="ref6">Andreas, 2021</xref>). The lockdown in Norway included school closures, working from home and limitations on nonessential services (sports, non-essential business etc.). Overall, only grocery stores, pharmacies, and gas stations remained open. The authorities also implemented forced self-isolation for those at risk of infection and those who were infected. In addition, they implemented several quarantine restrictions, travel restrictions, prohibition from staying overnight in holiday cabins across municipal borders, as well as spatial distancing and the compulsory wearing of face masks in public places (<xref ref-type="bibr" rid="ref120">Ursin et al., 2020</xref>; <xref ref-type="bibr" rid="ref6">Andreas, 2021</xref>; <xref ref-type="bibr" rid="ref12">Blix et al., 2021</xref>). Experiencing the outbreak of a novel and life-threatening virus disease, together with the restrictions on individuals&#x2019; autonomy and freedom, seems to have prompted an increase in mental distress in many people in Norway, particularly during the first months of the COVID-19 outbreak (<xref ref-type="bibr" rid="ref50">Hoffart et al., 2020</xref>; <xref ref-type="bibr" rid="ref12">Blix et al., 2021</xref>; <xref ref-type="bibr" rid="ref28">Ebrahimi et al., 2021</xref>; <xref ref-type="bibr" rid="ref31">Ernstsen and Havnen, 2021</xref>; <xref ref-type="bibr" rid="ref68">Lassen et al., 2022</xref>). Even though Norway&#x2019;s mortality and infection rate from Sars-CoV-2 were low compared to many other countries (<xref ref-type="bibr" rid="ref53">Hvide and Johnsen, 2022</xref>), loneliness and fear were reported as substantial factors associated with mental distress during the outbreak (<xref ref-type="bibr" rid="ref50">Hoffart et al., 2020</xref>; <xref ref-type="bibr" rid="ref11">Bemanian et al., 2021</xref>; <xref ref-type="bibr" rid="ref12">Blix et al., 2021</xref>; <xref ref-type="bibr" rid="ref28">Ebrahimi et al., 2021</xref>).</p>
<p>Although individuals may face the same stressful event (for example COVID-19) there are individual differences in how associated negative emotions are experienced or regulated (<xref ref-type="bibr" rid="ref43">Gross and John, 2003</xref>; <xref ref-type="bibr" rid="ref114">Too and Butterworth, 2018</xref>; <xref ref-type="bibr" rid="ref95">Raymond et al., 2019</xref>). Recent studies found that during the COVID-19 pandemic, several resources and resilience factors played moderating and/or mediating roles in the associations between stressful experiences and mental health, e.g., individuals&#x2019; sense of meaning of life (<xref ref-type="bibr" rid="ref103">Schnell and Krampe, 2020</xref>), locus of control (<xref ref-type="bibr" rid="ref63">Krampe et al., 2021</xref>), psychological flexibility (<xref ref-type="bibr" rid="ref110">Smith et al., 2020</xref>), personality traits (<xref ref-type="bibr" rid="ref8">Bacon and Corr, 2020</xref>; <xref ref-type="bibr" rid="ref110">Smith et al., 2020</xref>; <xref ref-type="bibr" rid="ref72">Liu et al., 2021</xref>; <xref ref-type="bibr" rid="ref1">Abdelrahman, 2022</xref>; <xref ref-type="bibr" rid="ref68">Lassen et al., 2022</xref>), as well as emotion regulation abilities (<xref ref-type="bibr" rid="ref129">Xu et al., 2020</xref>; <xref ref-type="bibr" rid="ref71">Liang et al., 2021</xref>; <xref ref-type="bibr" rid="ref131">Ye et al., 2021</xref>; <xref ref-type="bibr" rid="ref45">Gullo et al., 2022</xref>; <xref ref-type="bibr" rid="ref122">Vertsberger et al., 2022</xref>). These findings imply that the way individuals deal with negative emotions in their daily lives, as well as under long term crises (e.g., pandemic), can either be a motivation for coping or it can have a negative impact on mental health and well-being (<xref ref-type="bibr" rid="ref35">Garland et al., 2011</xref>; <xref ref-type="bibr" rid="ref25">Conway et al., 2013</xref>; <xref ref-type="bibr" rid="ref129">Xu et al., 2020</xref>).</p>
<p><xref ref-type="bibr" rid="ref40">Gross (1998b)</xref> differentiates between two emotion regulation strategies in his process model of emotion regulation: cognitive reappraisal and suppression. Both cognitive reappraisal and suppression behaviour operate along a continuum from conscious, effortful controlled regulation of emotions to unconscious, effortless, and automatic regulation (<xref ref-type="bibr" rid="ref44">Gross and Thompson, 2006</xref>; <xref ref-type="bibr" rid="ref10">Bargh and Williams, 2007</xref>). Emotion regulation is an important protective factor, and it concerns individuals&#x2019; attempts to control (modify) their emotions to respond in a flexible and adaptive way to the environment (<xref ref-type="bibr" rid="ref39">Gross, 1998a</xref>; <xref ref-type="bibr" rid="ref13">Boyes et al., 2016</xref>). Cognitive reappraisal involves a reinterpretation of a situation into a more positive light (<xref ref-type="bibr" rid="ref33">Ford et al., 2017</xref>), changing its potential meaning. Notably, it is not the situation itself that is changed, it is the individual&#x2019;s evaluation of the situation (<xref ref-type="bibr" rid="ref42">Gross and Barrett, 2011</xref>; <xref ref-type="bibr" rid="ref95">Raymond et al., 2019</xref>). Cognitive reappraisal can be employed prior to experiencing an emotion (<xref ref-type="bibr" rid="ref39">Gross, 1998a</xref>), and it is therefore an effective strategy to reduce negative emotions through reframing emotion-eliciting experiences or stimuli (<xref ref-type="bibr" rid="ref43">Gross and John, 2003</xref>). The second major emotion regulation strategy is suppression, involving the conscious inhibition of one&#x2019;s emotion expressive behaviors, whether they are covert, overt or both (<xref ref-type="bibr" rid="ref69">Lazarus and Alfert, 1964</xref>; <xref ref-type="bibr" rid="ref39">Gross, 1998a</xref>). Suppression is a response-focused strategy that intervenes once an emotion is &#x201C;under way,&#x201D; or after the emotional response has been triggered (<xref ref-type="bibr" rid="ref39">Gross, 1998a</xref>). For example, an individual may not be able to express their anxiety or fear about COVID-19, and may thus suppress their outer expression of negative emotion by putting on a fa&#x00E7;ade of control, mutual agreement, or by becoming &#x201C;paralyzed&#x201D; by overwhelming negative emotions and therefore being unable to move forward. An individual inner emotion would thus remain unchanged, meaning that the expression of negative emotions is suppressed.</p>
<sec id="sec6">
<title>Literature review</title>
<p>Cognitive reappraisal and suppression differ in their adaptiveness in regard to promoting or undermining psychological health (for review, see <xref ref-type="bibr" rid="ref2">Aldao and Nolen-Hoeksema, 2010</xref>). Extensive research shows that cognitive reappraisal is beneficial for psychological health (for review, see <xref ref-type="bibr" rid="ref124">Webb et al., 2012</xref>; <xref ref-type="bibr" rid="ref52">Hu et al., 2014</xref>), and that it is linked to resilience, positive affect, mental well-being, increased life satisfaction, better job performance, as well as favorable cognitive and social outcomes (<xref ref-type="bibr" rid="ref43">Gross and John, 2003</xref>; <xref ref-type="bibr" rid="ref57">John and Gross, 2004</xref>; <xref ref-type="bibr" rid="ref59">Kashdan et al., 2006</xref>; <xref ref-type="bibr" rid="ref62">Kraiss et al., 2020</xref>). In contrast, suppression is considered a maladaptive strategy, associated with worse psychological health outcomes (<xref ref-type="bibr" rid="ref4">Aldao et al., 2010</xref>; <xref ref-type="bibr" rid="ref52">Hu et al., 2014</xref>; <xref ref-type="bibr" rid="ref24">Chervonsky and Hunt, 2017</xref>; <xref ref-type="bibr" rid="ref16">Cameron and Overall, 2018</xref>). The tendency to withhold the expression of emotions is linked to, for example, impaired interpersonal relationships, greater anxiety and depression, poorer life satisfaction, lack of authenticity, lower self-esteem and increased negative emotions (<xref ref-type="bibr" rid="ref43">Gross and John, 2003</xref>; <xref ref-type="bibr" rid="ref59">Kashdan et al., 2006</xref>; <xref ref-type="bibr" rid="ref30">English and John, 2013</xref>). The differential effects of cognitive reappraisal and suppression have also been confirmed in several correlational studies during the pandemic (<xref ref-type="bibr" rid="ref18">Cardi et al., 2021</xref>; <xref ref-type="bibr" rid="ref71">Liang et al., 2021</xref>; <xref ref-type="bibr" rid="ref76">Low et al., 2021</xref>; <xref ref-type="bibr" rid="ref101">Santi et al., 2021</xref>; <xref ref-type="bibr" rid="ref131">Ye et al., 2021</xref>; <xref ref-type="bibr" rid="ref45">Gullo et al., 2022</xref>).</p>
<p>Moreover, previous research found that emotion regulation is a significant moderator of the association between stress and symptoms of anxiety and depression. While cognitive reappraisal seems to buffer the relationship between stress and symptoms of anxiety and depression (<xref ref-type="bibr" rid="ref118">Troy et al., 2010</xref>; <xref ref-type="bibr" rid="ref121">Vanderhasselt et al., 2014</xref>; <xref ref-type="bibr" rid="ref58">Johnson et al., 2016</xref>), suppression seems to exacerbate the relationship between stress and anxiety/depression (<xref ref-type="bibr" rid="ref13">Boyes et al., 2016</xref>; <xref ref-type="bibr" rid="ref51">Hosogoshi et al., 2020</xref>). Recent COVID-19 studies also investigated the moderating role of emotion regulation in diverse populations. The majority of the investigations found that cognitive reappraisal buffered the positive relationships between diverse types of perceived stress and subjective health (<xref ref-type="bibr" rid="ref93">Prikhidko et al., 2020</xref>; <xref ref-type="bibr" rid="ref129">Xu et al., 2020</xref>; <xref ref-type="bibr" rid="ref130">Yang et al., 2020</xref>; <xref ref-type="bibr" rid="ref38">Gr&#x00F6;ndal et al., 2021</xref>; <xref ref-type="bibr" rid="ref66">Kuhlman et al., 2021</xref>; <xref ref-type="bibr" rid="ref94">Raio et al., 2021</xref>; <xref ref-type="bibr" rid="ref131">Ye et al., 2021</xref>; <xref ref-type="bibr" rid="ref23">Chen et al., 2022</xref>; <xref ref-type="bibr" rid="ref122">Vertsberger et al., 2022</xref>), while suppression exacerbated these relationships (<xref ref-type="bibr" rid="ref128">Wu et al., 2021</xref>; <xref ref-type="bibr" rid="ref131">Ye et al., 2021</xref>; <xref ref-type="bibr" rid="ref23">Chen et al., 2022</xref>). However, some investigations did not find the buffering effect of cognitive reappraisal (<xref ref-type="bibr" rid="ref134">Zhang et al., 2021</xref>) or the exacerbating effect of suppression (<xref ref-type="bibr" rid="ref130">Yang et al., 2020</xref>; <xref ref-type="bibr" rid="ref38">Gr&#x00F6;ndal et al., 2021</xref>; <xref ref-type="bibr" rid="ref94">Raio et al., 2021</xref>).</p>
<p>Various studies indicate gender differences in emotion regulation (<xref ref-type="bibr" rid="ref113">Tamres et al., 2002</xref>; <xref ref-type="bibr" rid="ref82">Nolen-Hoeksema, 2012</xref>; <xref ref-type="bibr" rid="ref98">Rogier et al., 2019</xref>). Women generally seem to use more emotion regulation strategies than men, including cognitive reappraisal, but not expressive suppression (<xref ref-type="bibr" rid="ref113">Tamres et al., 2002</xref>; <xref ref-type="bibr" rid="ref37">Goubet and Chrysikou, 2019</xref>). Importantly, data suggest that women apply emotion regulation strategies in more flexible ways (<xref ref-type="bibr" rid="ref37">Goubet and Chrysikou, 2019</xref>). Concerning gender differences in the use of the specific strategies of cognitive reappraisal and suppression, the evidence is inconsistent. Several researchers showed that women have a stronger tendency to use cognitive reappraisal (<xref ref-type="bibr" rid="ref113">Tamres et al., 2002</xref>; <xref ref-type="bibr" rid="ref83">Nolen-Hoeksema and Aldao, 2011</xref>; <xref ref-type="bibr" rid="ref80">Meg&#x0131;as-Robles et al., 2019</xref>; <xref ref-type="bibr" rid="ref98">Rogier et al., 2019</xref>), while men seem to tend toward expressive suppression (<xref ref-type="bibr" rid="ref32">Flynn et al., 2010</xref>; <xref ref-type="bibr" rid="ref80">Meg&#x0131;as-Robles et al., 2019</xref>; <xref ref-type="bibr" rid="ref98">Rogier et al., 2019</xref>; <xref ref-type="bibr" rid="ref101">Santi et al., 2021</xref>). However, some studies did not find these differences for either cognitive reappraisal (<xref ref-type="bibr" rid="ref101">Santi et al., 2021</xref>) or suppression (<xref ref-type="bibr" rid="ref113">Tamres et al., 2002</xref>; <xref ref-type="bibr" rid="ref83">Nolen-Hoeksema and Aldao, 2011</xref>). The evidence is also inconclusive regarding the interplay of emotion regulation, stress and mental distress. On the one hand, convincing data suggest that the interrelations of emotion regulation and forms of stress and mental distress are rather similar in women and men (<xref ref-type="bibr" rid="ref3">Aldao and Nolen-Hoeksema, 2012</xref>; <xref ref-type="bibr" rid="ref77">Lutz et al., 2022</xref>). On the other hand, a variety of gender differences have been reported. For example, in several studies, gender moderated the associations of reappraisal and suppression with diverse mental health outcomes, with significant effects sometimes only in men (<xref ref-type="bibr" rid="ref32">Flynn et al., 2010</xref>; <xref ref-type="bibr" rid="ref98">Rogier et al., 2019</xref>; <xref ref-type="bibr" rid="ref56">Jiang et al., 2022</xref>), sometimes only in women (<xref ref-type="bibr" rid="ref82">Nolen-Hoeksema, 2012</xref>; <xref ref-type="bibr" rid="ref98">Rogier et al., 2019</xref>), and sometimes in different ways in men and women (<xref ref-type="bibr" rid="ref32">Flynn et al., 2010</xref>; <xref ref-type="bibr" rid="ref80">Meg&#x0131;as-Robles et al., 2019</xref>; <xref ref-type="bibr" rid="ref132">Zhang et al., 2020</xref>; <xref ref-type="bibr" rid="ref56">Jiang et al., 2022</xref>). Gender analyses of emotion regulation are sparse in psychosocial COVID-19 research. While <xref ref-type="bibr" rid="ref70">Li et al. (2022)</xref> found higher reappraisal scores in women and higher suppression scores in men, <xref ref-type="bibr" rid="ref17">Canl&#x0131; and Kara&#x015F;ar (2020)</xref> and <xref ref-type="bibr" rid="ref101">Santi et al. (2021)</xref> reported higher suppression scores in men, but no gender differences for reappraisal. <xref ref-type="bibr" rid="ref97">Rodas et al. (2022)</xref> stated some moderation effects of gender but they did not describe these. <xref ref-type="bibr" rid="ref81">Mu&#x00F1;oz-Navarro et al. (2021)</xref> found that emotion regulation strategies mediated the associations between COVID-19 worries and anxiety differently in women and men. Finally, <xref ref-type="bibr" rid="ref87">Panno et al. (2022)</xref> showed that cognitive reappraisal was negatively associated with COVID-19 stress and general mental distress in women but not in men, while there were no gender effects for the association of suppression with COVID-19 stress and mental distress. To our knowledge, until now, gender comparisons have not been published for the buffering and exacerbating effects of reappraisal and suppression, respectively.</p>
<p>The aims of this study were to (1) investigate whether emotion regulation moderated the relationship between COVID-19 stress and general mental distress during the first months of the pandemic in a community sample from Norway (<xref rid="fig1" ref-type="fig">Figure 1</xref>), and (2) examine in an exploratory way to what extent there were gender differences in the interrelations between COVID-19 stress, emotion regulation, and mental distress. After descriptive analyses, we performed moderation analyses for the complete sample. In the next step, we compared men and women regarding the study variables and repeated moderation analysis separately for women and men. We argue that high cognitive reappraisal will buffer the relationship between COVID-19 stress and general mental distress, and suppression will strengthen the relationship between COVID 19 stress and general mental distress. Previous research, using the same dataset, showed that COVID-19 stress was positively related to general mental distress in a population in Norway during the early months of the COVID-19 pandemic (<xref ref-type="bibr" rid="ref63">Krampe et al., 2021</xref>). Consequently, COVID-19 stress and general mental distress are key research variables in this study. Age was included as a covariate, given that research shows emotion regulation behaviour is linked to lifespan (<xref ref-type="bibr" rid="ref19">Carstensen et al., 2011</xref>). Regarding gender differences, we expected women to show higher scores of cognitive reappraisal and men to show higher scores of expressive suppression. Given the conflicting evidence on gender effects within the relations of stress, emotion regulation and mental health, the separate moderation analyses for women and men were performed in an explorative way.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Conceptual model of how cognitive reappraisal (ERQ-CR) and suppression (ERQ-S) moderate the relationship between COVID-19 stress and general mental distress (PHQ 4) (double moderator, PROCESS model 2, <italic>n</italic>&#x2009;=&#x2009;1,207).</p>
</caption>
<graphic xlink:href="fpsyg-14-1121986-g001.tif"/>
</fig>
</sec>
</sec>
<sec id="sec7" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="sec8">
<title>Sample and procedures</title>
<p>This cross-sectional study was conducted in Norway (<italic>n</italic>&#x2009;=&#x2009;1,225) from the period May 26th to June 4th 2020. During this time the Norwegian Government&#x2019;s COVID-19 regulations were gradually eased (<xref ref-type="bibr" rid="ref46">Hansen et al., 2021</xref>). The study was distributed on several web pages of the collaborating institutions (e.g., Innlandet Hospital Trust, MF Specialized University, University of Stavanger) as well as forwarded by social media (e.g., Facebook). All participants expressed their informed consent by explicitly agreeing to continue with the questionnaire after being informed about the study&#x2019;s aims, employed data protection, participants&#x2019; rights, and contact points for questions or concerns. Participation was voluntary and with no compensation. Ethical approval was obtained by Personvernombudet Innlandet Hospital Trust, Norway, No. 20/02104&#x2013;1.</p>
</sec>
<sec id="sec9">
<title>Measures</title>
<sec id="sec10">
<title>COVID-19 stress</title>
<p>The COVID-19 Stress Scale comprises seven items and involves a broad range of affective stress reactions to the pandemic situation (e.g., feelings of intolerability, boredom, anger and being left alone) as well as fears and pessimism about personal resources and the future (<xref ref-type="bibr" rid="ref103">Schnell and Krampe, 2020</xref>). Sample items include <italic>&#x201C;I am irritated&#x201D; and &#x201C;I am afraid of the pandemic and what will happen to us.&#x201D;</italic> The response scale ranged from 0 (<italic>strongly disagree</italic>) to 5 (<italic>strongly agree</italic>). Cronbach&#x2019;s alpha in this study was &#x03B1;&#x2009;=&#x2009;0.73. Confirmatory factor analyses were conducted showing a one-dimensional model of COVID-19 stress (<xref ref-type="bibr" rid="ref63">Krampe et al., 2021</xref>). The scale has proven valid in several studies (<xref ref-type="bibr" rid="ref103">Schnell and Krampe, 2020</xref>, <xref ref-type="bibr" rid="ref104">2022a</xref>,<xref ref-type="bibr" rid="ref105">b</xref>; <xref ref-type="bibr" rid="ref27">Dyrendal and Hestad, 2021</xref>; <xref ref-type="bibr" rid="ref63">Krampe et al., 2021</xref>; <xref ref-type="bibr" rid="ref106">Schnell et al., 2021</xref>).</p>
</sec>
<sec id="sec11">
<title>General mental distress</title>
<p>General mental distress was measured with the Patient Health Questionnaire 4, PHQ-4 (4 items) (<xref ref-type="bibr" rid="ref64">Kroenke et al., 2009</xref>, <xref ref-type="bibr" rid="ref65">2010</xref>). The PHQ-4 has demonstrated good reliability and validity in both clinical and population samples in Norway (<xref ref-type="bibr" rid="ref7">Andreassen et al., 2019</xref>; <xref ref-type="bibr" rid="ref111">Solem et al., 2021</xref>) and measures core symptoms of current depression and anxiety. Participants were asked to respond to the items in regard to the past two weeks (<italic>&#x201C;Over the last 2&#x2009;weeks, how often have you been bothered by the following problems?&#x201D;</italic>). Sample items included &#x201C;<italic>Little interest or pleasure in doing things&#x201D;</italic> (depression) and &#x201C;<italic>Feeling nervous, anxious or on edge&#x201D;</italic> (anxiety). The response scale ranged from 0&#x2009;=&#x2009;not at all to 3&#x2009;=&#x2009;nearly every day. The sum score ranges from 0 to12, and cut-off points&#x2009;&#x003E;&#x2009;2, &#x003E;3, and&#x2009;&#x003E;&#x2009;5 indicate mild, moderate, and severe mental distress, respectively (<xref ref-type="bibr" rid="ref64">Kroenke et al., 2009</xref>; <xref ref-type="bibr" rid="ref60">Kerper et al., 2014</xref>). Cronbach&#x2019;s alpha in this study was <italic>&#x03B1;</italic>&#x2009;=&#x2009;0.82.</p>
</sec>
<sec id="sec12">
<title>Emotion regulation</title>
<p>Emotion regulation was measured using the 10-item Emotion Regulation Questionnaire (ERQ: <xref ref-type="bibr" rid="ref43">Gross and John, 2003</xref>). This is one of the most widely used instruments to measure emotion regulation and has shown good psychometric properties in both clinical and population samples (<xref ref-type="bibr" rid="ref36">G&#x00F3;mez-Ortiz et al., 2016</xref>; <xref ref-type="bibr" rid="ref100">S&#x00E6;tren et al., 2019</xref>; <xref ref-type="bibr" rid="ref92">Preece et al., 2020</xref>). Instructions were adjusted to how participants generally regulated their emotions when encountering stressful situations during COVID-19 restrictions. Participants were asked to rate the degree to which they regulated their emotions <italic>via</italic> cognitive reappraisal (6 items, sample item, e.g., &#x201C;<italic>When I want to experience more positive emotions, I change my way of thinking&#x201D;</italic>) &#x2013; or <italic>via</italic> suppression (4 items, <italic>sample item,</italic> e.g.<italic>, &#x201C;I control my feelings by not expressing them&#x201D;</italic>). The response scale ranged from 1 (<italic>strongly disagree</italic>) to 7 (<italic>strongly agree</italic>). The measures were translated from English into Norwegian and then professionally and independently back-translated to ensure language equivalence. After some adjustment, the back-translation was approved by the original developer James Gross (personal communication). In this study, Cronbach&#x2019;s alphas of the two subscales were &#x03B1;&#x2009;=&#x2009;0.88 for cognitive reappraisal and &#x03B1;&#x2009;=&#x2009;0.81 for suppression.</p>
</sec>
</sec>
<sec id="sec13">
<title>Statistical analyses</title>
<p>For all statistical tests, a two tailed value of <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 was considered statistically significant. Due to their small number, data from participants identifying as gender diverse were excluded from analyses that contained gender as a variable (<italic>n</italic>&#x2009;=&#x2009;2). To test whether cognitive reappraisal and suppression moderate the relationship between COVID-19 stress and general mental distress (HQ1) a double moderation analysis was conducted using PROCESS 4.1 macro for SPSS (version 27), model 2 (<xref ref-type="bibr" rid="ref48">Hayes and Andrew, 2013</xref>; <xref rid="fig1" ref-type="fig">Figure 1</xref>). PROCESS is a widely used regression-based path analytic approach to modeling mediation and moderation relationships, and therefore appropriate for testing our first hypothesis (<xref ref-type="bibr" rid="ref49">Hayes et al., 2017</xref>). The moderation analyses employed bootstrapping with 5,000 samples. Independent <italic>t</italic>-test and a gender specific moderation analysis were applied to evaluate any gender differences in emotion regulation.</p>
</sec>
</sec>
<sec id="sec14" sec-type="results">
<title>Results</title>
<sec id="sec15">
<title>Sample characteristics and correlational analyses</title>
<p>Means, standard deviations and inter-correlations among the study variables are reported in <xref rid="tab1" ref-type="table">Table 1</xref>. While COVID-19 stress and general mental distress showed a large positive correlation, all other correlations were of moderate to small size. Both COVID-19 stress and general mental distress correlated negatively with cognitive reappraisal and positively with suppression. Younger age was related to higher values in COVID-19 stress, general mental distress, and suppression. Gender was only marginally related to COVID-19 stress, general mental distress, cognitive reappraisal and age, but markedly associated with suppression <xref rid="tab2" ref-type="table">(Table 2</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Sociodemographic characteristics of the sample (<italic>N</italic>&#x2009;=&#x2009;1,225).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Number or mean</th>
<th align="center" valign="top">% or SD</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">Age (Years)<sup>+</sup></td>
<td align="center" valign="bottom">50.27</td>
<td align="center" valign="bottom">13.16</td>
</tr>
<tr>
<td align="left" valign="bottom">Gender<break/>Women<break/>Men<break/>Diverse</td>
<td align="center" valign="bottom">897<break/>326<break/>2</td>
<td align="center" valign="bottom">73.2<break/>26.6<break/>0.2</td>
</tr>
<tr>
<td align="left" valign="bottom">Nationality<break/>Norwegian<break/>Denmark<break/>Sweden<break/>Other nationalities</td>
<td align="center" valign="bottom">1,170<break/>8<break/>17<break/>30</td>
<td align="center" valign="bottom">95.5<break/>0.7<break/>1.4<break/>2.4</td>
</tr>
<tr>
<td align="left" valign="bottom">University education</td>
<td align="center" valign="bottom">1,073</td>
<td align="center" valign="bottom">87.6</td>
</tr>
<tr>
<td align="left" valign="bottom">Occupation<break/>Health care<sup>a</sup><break/>Education system<sup>b</sup><break/>Different industries<sup>c</sup><break/>Currently not working</td>
<td align="center" valign="bottom">325<break/>238<break/>482<break/>180</td>
<td align="center" valign="bottom">26.5<break/>19.4<break/>39.4<break/>14.7</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>+</sup><italic>n</italic> =&#x2009;1,209. <sup>a</sup>e.g., nurses, doctors, psychologists. <sup>b</sup>e.g., kindergarten, school, higher education. <sup>c</sup>e.g., cultural sector, social organizations, hotel and catering industry, trade, and police.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Descriptive statistics, reliabilities and inter-correlations among variables<sup>+</sup>.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">
<italic>M</italic>
</th>
<th align="center" valign="top">SD</th>
<th align="center" valign="top">1</th>
<th align="center" valign="top">2</th>
<th align="center" valign="top">3</th>
<th align="center" valign="top">4</th>
<th align="center" valign="top">5</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">COVID-19 stress</td>
<td align="center" valign="top">1.34</td>
<td align="center" valign="top">0.82</td>
<td align="center" valign="top">
<bold>0.73</bold>
</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">General mental distress</td>
<td align="center" valign="top">2.51</td>
<td align="center" valign="top">2.35</td>
<td align="center" valign="top">0.61<sup>&#x002A;&#x002A;</sup></td>
<td align="center" valign="top">
<bold>0.82</bold>
</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Cognitive reappraisal</td>
<td align="center" valign="top">4.45</td>
<td align="center" valign="top">1.27</td>
<td align="center" valign="top">&#x2212;0.20<sup>&#x002A;&#x002A;</sup></td>
<td align="center" valign="top">&#x2212;0.21<sup>&#x002A;&#x002A;</sup></td>
<td align="center" valign="top">
<bold>0.88</bold>
</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Suppression</td>
<td align="center" valign="top">2.51</td>
<td align="center" valign="top">1.20</td>
<td align="center" valign="top">0.19<sup>&#x002A;&#x002A;</sup></td>
<td align="center" valign="top">0.23<sup>&#x002A;&#x002A;</sup></td>
<td align="center" valign="top">&#x2212;0.04</td>
<td align="center" valign="top">
<bold>0.81</bold>
</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top">50.27</td>
<td align="center" valign="top">13.16</td>
<td align="center" valign="top">&#x2212;0.12<sup>&#x002A;&#x002A;</sup></td>
<td align="center" valign="top">&#x2212;0.19<sup>&#x002A;&#x002A;</sup></td>
<td align="center" valign="top">0.01</td>
<td align="center" valign="top">&#x2212;0.10<sup>&#x002A;&#x002A;</sup></td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Gender</td>
<td/>
<td/>
<td align="center" valign="top">0.03</td>
<td align="center" valign="top">0.05<sup>&#x002A;</sup></td>
<td align="center" valign="top">0.06<sup>&#x002A;</sup></td>
<td align="center" valign="top">&#x2212;0.17<sup>&#x002A;&#x002A;</sup></td>
<td align="center" valign="top">&#x2212;0.06<sup>&#x002A;</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>+</sup>Reliability estimates are shown in bold along the diagonal; <italic>n</italic>&#x2009;=&#x2009;1,207&#x2013;1,225, due to missing data; Measures: COVID-19 stress: COVID-19 Stress Scale (range: 0&#x2013;5); general mental distress: PHQ-4 (range: 0&#x2013;12); emotion regulation (cognitive reappraisal, suppression): ERQ (range: 1&#x2013;7); Gender: 1&#x2009;=&#x2009;male (<italic>n</italic>&#x2009;=&#x2009;326), 2&#x2009;=&#x2009;female (<italic>n</italic>&#x2009;=&#x2009;897). <sup>&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, <sup>&#x002A;&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.001, two-tailed.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec16">
<title>Moderating role of cognitive reappraisal and suppression</title>
<p>Cognitive reappraisal and suppression moderated the relationship between COVID-19 stress and general mental distress (<xref rid="tab3" ref-type="table">Table 3</xref>). As expected, the positive relationship between COVID-19 stress and general mental distress was moderated negatively by cognitive reappraisal (<italic>B</italic> =&#x2009;&#x2212;0.17, <italic>SE</italic> =&#x2009;0.05, <italic>p</italic> &#x2264;&#x2009;0.001) and positively by suppression (<italic>B</italic> =&#x2009;0.15, <italic>SE</italic> =&#x2009;0.05, <italic>p</italic> =&#x2009;0.002) (<xref rid="tab3" ref-type="table">Table 3</xref>). Both cognitive reappraisal and suppression acted as independent moderators (<xref rid="fig2" ref-type="fig">Figure 2</xref>). When COVID-19 stress was low, general mental distress was also low, regardless of the extent of emotion regulation through cognitive reappraisal or suppression. However, with increasing COVID-19 stress, general mental distress levels were significantly higher for those who suppressed their emotions and for those who used less cognitive reappraisal. The model was significant at <italic>F</italic>(7, 1,199) =125.22, <italic>p</italic> &#x003C;&#x2009;0.001. COVID-19 stress, cognitive reappraisal, suppression, age and gender explained 42% of the variance in general mental distress.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Cognitive reappraisal and suppression as moderators of the relationship between COVID-19 stress and general mental distress; <italic>n</italic>&#x2009;=&#x2009;1,207.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">PHQ-4</th>
<th/>
<th/>
<th align="center" valign="top" colspan="2">95% CI for estimate</th>
<th/>
</tr>
<tr>
<th/>
<th align="center" valign="top"><italic>B</italic> (SE)</th>
<th align="center" valign="top">
<italic>t</italic>
</th>
<th align="center" valign="top">LL</th>
<th align="center" valign="top">UL</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Intercept</td>
<td align="center" valign="top">2.86 (0.30)</td>
<td align="center" valign="top">9.50</td>
<td align="center" valign="top">2.27</td>
<td align="center" valign="top">3.45</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">COVID-19 Stress (IV)</td>
<td align="center" valign="top">1.55 (0.07)</td>
<td align="center" valign="top">23.07</td>
<td align="center" valign="top">1.42</td>
<td align="center" valign="top">1.68</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Reappraisal (Mod. 1)</td>
<td align="center" valign="top">&#x2212;0.19 (0.04)</td>
<td align="center" valign="top">&#x2212;4.59</td>
<td align="center" valign="top">&#x2212;0.27</td>
<td align="center" valign="top">&#x2212;0.11</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Interaction IV&#x2009;&#x00D7;&#x2009;Mod1</td>
<td align="center" valign="top">
<bold>&#x2212;0.17 (0.05)</bold>
</td>
<td align="center" valign="top">
<bold>&#x2212;3.28</bold>
</td>
<td align="center" valign="top">
<bold>&#x2212;0.26</bold>
</td>
<td align="center" valign="top">
<bold>&#x2212;0.07</bold>
</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Suppression (Mod. 2)</td>
<td align="center" valign="top">0.19 (0.05)</td>
<td align="center" valign="top">4.19</td>
<td align="center" valign="top">0.10</td>
<td align="center" valign="top">0.28</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Interaction IV&#x2009;&#x00D7;&#x2009;Mod2</td>
<td align="center" valign="top">
<bold>0.15 (0.05)</bold>
</td>
<td align="center" valign="top">
<bold>3.06</bold>
</td>
<td align="center" valign="top">
<bold>0.05</bold>
</td>
<td align="center" valign="top">
<bold>0.24</bold>
</td>
<td align="center" valign="top">0.002</td>
</tr>
<tr>
<td align="left" valign="top">Gender</td>
<td align="center" valign="top">0.29 (0.12)</td>
<td align="center" valign="top">2.47</td>
<td align="center" valign="top">0.06</td>
<td align="center" valign="top">0.53</td>
<td align="center" valign="top">0.014</td>
</tr>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top">&#x2212;0.02 (0.01)</td>
<td align="center" valign="top">&#x2212;4.64</td>
<td align="center" valign="top">&#x2212;0.03</td>
<td align="center" valign="top">&#x2212;0.01</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Measures: COVID-19 stress: COVID-19 Stress Scale (range: 0&#x2013;5); general mental distress: PHQ-4 (range: 0&#x2013;12); emotion regulation (cognitive reappraisal, suppression): ERQ (range: 1&#x2013;7); Gender: 1&#x2009;=&#x2009;male, 2&#x2009;=&#x2009;female. Bold values refer to the interaction effects.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Total sample: conditional effects of COVID-19 stress on general mental distress for low, medium, and high levels of reappraisal and low, medium, and high levels of suppression. The variables ERQ Suppression, ERQ Reappraisal, and COVID-19 Stress Scale were mean centered prior to analysis (<italic>n</italic>&#x2009;=&#x2009;1,207).</p>
</caption>
<graphic xlink:href="fpsyg-14-1121986-g002.tif"/>
</fig>
</sec>
<sec id="sec17">
<title>Comparisons of women and men</title>
<p>There were no statistically significant differences between women and men concerning mean scores of COVID-19 stress, general mental distress, or age (<xref rid="tab4" ref-type="table">Table 4</xref>). Moreover, women and men did not differ significantly regarding rates of general mental distress for the cut-offs &#x003E;5 (w: 9.3%, m: 8.3%, <italic>p</italic>&#x2009;=&#x2009;0.600), &#x003E;3 (w: 30.4%, m: 24.8%, <italic>p</italic>&#x2009;=&#x2009;0.057), and &#x003E;2 (46.6%, m, 40.5% <italic>p</italic>&#x2009;=&#x2009;0.058). Consistent with our hypotheses, men reported using suppression to a higher degree than women, with a small to medium observed effect (Hedges&#x2019; <italic>g</italic>&#x2009;=&#x2009;0.4). Women, on the other hand, used significantly more reappraisal than men, with a rather small observed effect (Hedges&#x2019; <italic>g</italic>&#x2009;=&#x2009;&#x2212;0.15).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Comparison of women and men regarding study variables.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Women (<italic>n</italic>&#x2009;=&#x2009;897)</th>
<th align="center" valign="top">Men (<italic>n</italic>&#x2009;=&#x2009;326)</th>
<th/>
<th/>
<th/>
<th align="center" valign="top">95% CI</th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td/>
<td align="center" valign="top"><italic>M</italic> (SD)</td>
<td align="center" valign="top"><italic>M</italic> (SD)</td>
<td align="center" valign="top">
<italic>t</italic>
</td>
<td align="center" valign="top">
<italic>p</italic>
</td>
<td align="center" valign="top">Hedges&#x2019; <italic>g</italic></td>
<td align="center" valign="top">Lower</td>
<td align="center" valign="top">Upper</td>
</tr>
<tr>
<td align="left" valign="top">COVID-19 stress</td>
<td align="center" valign="top">1.35 (0.83)</td>
<td align="center" valign="top">1.30 (0.77)</td>
<td align="center" valign="top">&#x2212;0.91</td>
<td align="center" valign="top">0.364</td>
<td align="center" valign="top">&#x2212;0.06</td>
<td align="center" valign="top">&#x2212;0.19</td>
<td align="center" valign="top">0.07</td>
</tr>
<tr>
<td align="left" valign="top">General mental distress</td>
<td align="center" valign="top">2.57 (2.32)</td>
<td align="center" valign="top">2.29 (2.37)</td>
<td align="center" valign="top">&#x2212;1.87</td>
<td align="center" valign="top">0.061</td>
<td align="center" valign="top">&#x2212;0.12</td>
<td align="center" valign="top">&#x2212;0.25</td>
<td align="center" valign="top">0.01</td>
</tr>
<tr>
<td align="left" valign="top">Reappraisal</td>
<td align="center" valign="top">4.50 (1.24)</td>
<td align="center" valign="top">4.32 (1.32)</td>
<td align="center" valign="top">&#x2212;2.25</td>
<td align="center" valign="top">0.025</td>
<td align="center" valign="top">&#x2212;0.15</td>
<td align="center" valign="top">&#x2212;0.27</td>
<td align="center" valign="top">&#x2212;0.02</td>
</tr>
<tr>
<td align="left" valign="top">Suppression</td>
<td align="center" valign="top">2.38 (1.15)</td>
<td align="center" valign="top">2.85 (1.28)</td>
<td align="center" valign="top">5.85</td>
<td align="center" valign="top">&#x003C; 0.001</td>
<td align="center" valign="top">0.40</td>
<td align="center" valign="top">0.27</td>
<td align="center" valign="top">0.53</td>
</tr>
<tr>
<td align="left" valign="top">Age<sup>+</sup></td>
<td align="center" valign="top">49.79 (12.52)</td>
<td align="center" valign="top">51.60 (14.72)</td>
<td align="center" valign="top">1.96</td>
<td align="center" valign="top">0.050</td>
<td align="center" valign="top">0.14</td>
<td align="center" valign="top">0.01</td>
<td align="center" valign="top">0.27</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>+</sup>n&#x2009;=&#x2009;1,207, due to missing data. Measures: COVID-19 stress: COVID-19 Stress Scale (range: 0&#x2013;5); general mental distress: PHQ-4 (range: 0&#x2013;12); emotion regulation (cognitive reappraisal, suppression): ERQ (range: 1&#x2013;7). Gender: 1&#x2009;=&#x2009;male, 2&#x2009;=&#x2009;female.</p>
</table-wrap-foot>
</table-wrap>
<p>Separate moderation analyses were performed for women and men. Both regression models were significant: For women at <italic>F</italic>(6, 877)&#x2009;=&#x2009;106.82, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001, and 42% of the variance explanation in general mental distress; for men at <italic>F</italic>(6, 316)&#x2009;=&#x2009;142.54, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001, and 45% of the variance explanation in general mental distress. The models revealed significant gender differences. In women, the directions of regression coefficients remained equal to the ones of the regression model for the total sample. However, the effect sizes were higher for reappraisal and its interaction with COVID-19 stress and slightly lower for suppression. Importantly, the interaction of suppression and COVID-19 stress was not significant (<xref rid="tab4" ref-type="table">Table 4</xref>). Independent of each other, COVID-19 stress and suppression were associated with higher, and reappraisal with lower mental distress. With increasing COVID-19 stress, mental distress levels were not significantly different for women who used more suppression. However, they were significantly higher for those who used less cognitive reappraisal (<xref rid="tab5" ref-type="table">Table 5</xref> and <xref rid="fig3" ref-type="fig">Figure 3</xref>).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Differential moderation effects of emotion regulation in women and men: cognitive reappraisal and suppression as moderators of the relationship between COVID-19 stress and general mental distress.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">(A) Women (<italic>n</italic>&#x2009;=&#x2009;884)</th>
<th/>
<th/>
<th align="center" valign="top" colspan="2">95% CI for estimate</th>
<th/>
</tr>
<tr>
<th/>
<th align="center" valign="top"><italic>B</italic> (SE)</th>
<th align="center" valign="top">
<italic>t</italic>
</th>
<th align="center" valign="top">LL</th>
<th align="center" valign="top">UL</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Intercept</td>
<td align="center" valign="top">3.33 (0.25)</td>
<td align="center" valign="top">13.46</td>
<td align="center" valign="top">2.84</td>
<td align="center" valign="top">3.81</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">COVID-19 Stress (IV)</td>
<td align="center" valign="top">1.51 (0.08)</td>
<td align="center" valign="top">19.58</td>
<td align="center" valign="top">1.35</td>
<td align="center" valign="top">1.66</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Reappraisal (Mod. 1)</td>
<td align="center" valign="top">&#x2212;0.27 (0.05)</td>
<td align="center" valign="top">&#x2212;5.44</td>
<td align="center" valign="top">&#x2212;0.37</td>
<td align="center" valign="top">&#x2212;0.17</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Interaction IV&#x2009;&#x00D7;&#x2009;Mod1</td>
<td align="center" valign="top">
<bold>&#x2212;0.22 (0.06)</bold>
</td>
<td align="center" valign="top">
<bold>&#x2212;3.77</bold>
</td>
<td align="center" valign="top">
<bold>&#x2212;0.34</bold>
</td>
<td align="center" valign="top">
<bold>&#x2212;0.11</bold>
</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Suppression (Mod. 2)</td>
<td align="center" valign="top">0.15 (0.05)</td>
<td align="center" valign="top">2.83</td>
<td align="center" valign="top">0.05</td>
<td align="center" valign="top">0.26</td>
<td align="center" valign="top">0.005</td>
</tr>
<tr>
<td align="left" valign="top">Interaction IV&#x2009;&#x00D7;&#x2009;Mod2</td>
<td align="center" valign="top">
<bold>0.08 (0.06)</bold>
</td>
<td align="center" valign="top">
<bold>1.40</bold>
</td>
<td align="center" valign="top">
<bold>&#x2212;0.03</bold>
</td>
<td align="center" valign="top">
<bold>0.19</bold>
</td>
<td align="center" valign="top">
<bold>0.161</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top">&#x2212;0.02 (0.01)</td>
<td align="center" valign="top">&#x2212;3.39</td>
<td align="center" valign="top">&#x2212;0.03</td>
<td align="center" valign="top">&#x2212;0.01</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">(B) Men (<italic>n</italic>&#x2009;=&#x2009;323)</td>
<td/>
<td/>
<td align="center" valign="top" colspan="2">95% CI for estimate</td>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top"><italic>B</italic> (SE)</td>
<td align="center" valign="top">t</td>
<td align="center" valign="top">LL</td>
<td align="center" valign="top">UL</td>
<td align="center" valign="top">
<italic>p</italic>
</td>
</tr>
<tr>
<td align="left" valign="top">Intercept</td>
<td align="center" valign="top">3.30 (0.38)</td>
<td align="center" valign="top">8.74</td>
<td align="center" valign="top">2.55</td>
<td align="center" valign="top">4.03</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">COVID-19 Stress (IV)</td>
<td align="center" valign="top">1.65 (0.14)</td>
<td align="center" valign="top">12.01</td>
<td align="center" valign="top">1.38</td>
<td align="center" valign="top">1.91</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Reappraisal (Mod. 1)</td>
<td align="center" valign="top">&#x2212;0.02 (0.08)</td>
<td align="center" valign="top">&#x2212;0.25</td>
<td align="center" valign="top">&#x2212;0.17</td>
<td align="center" valign="top">0.13</td>
<td align="center" valign="top">0.802</td>
</tr>
<tr>
<td align="left" valign="top">Interaction IV&#x2009;xMod1</td>
<td align="center" valign="top">
<bold>&#x2212;0.03 (0.10)</bold>
</td>
<td align="center" valign="top">
<bold>&#x2212;0.33</bold>
</td>
<td align="center" valign="top">
<bold>&#x2212;0.22</bold>
</td>
<td align="center" valign="top">
<bold>0.16</bold>
</td>
<td align="center" valign="top">0.746</td>
</tr>
<tr>
<td align="left" valign="top">Suppression (Mod. 2)</td>
<td align="center" valign="top">0.26 (0.08)</td>
<td align="center" valign="top">3.25</td>
<td align="center" valign="top">0.10</td>
<td align="center" valign="top">0.42</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Interaction IV&#x2009;&#x00D7;&#x2009;Mod2</td>
<td align="center" valign="top">
<bold>0.38 (0.10)</bold>
</td>
<td align="center" valign="top">
<bold>3.64</bold>
</td>
<td align="center" valign="top">
<bold>0.17</bold>
</td>
<td align="center" valign="top">
<bold>0.58</bold>
</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top">&#x2212;0.02 (0.01)</td>
<td align="center" valign="top">&#x2212;2.93</td>
<td align="center" valign="top">&#x2212;0.03</td>
<td align="center" valign="top">&#x2212;0.01</td>
<td align="center" valign="top">0.004</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Measures: COVID-19 stress: COVID-19 Stress Scale (range: 0&#x2013;5); general mental distress: PHQ-4 (range: 0&#x2013;12); emotion regulation (cognitive reappraisal, suppression): ERQ (range: 1&#x2013;7); Gender: 1&#x2009;=&#x2009;male, 2&#x2009;=&#x2009;female. Bold values refer to the interaction effects.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Women: conditional effects of COVID-19 stress on general mental distress for low, medium, and high levels of reappraisal and low, medium, and high levels of suppression. The variables ERQ Suppression, ERQ Reappraisal, and COVID-19 Stress Scale were mean centered prior to analysis (<italic>n</italic>&#x2009;=&#x2009;884).</p>
</caption>
<graphic xlink:href="fpsyg-14-1121986-g003.tif"/>
</fig>
<p>In men, both the main regression effects of reappraisal and its interaction effect with COVID-19 stress were not significant. Compared with the model of the total sample, the main effect of suppression and its interaction effect with COVID-19 stress were larger (<xref rid="tab5" ref-type="table">Table 5</xref>). Independent of each other, COVID-19 stress and suppression were associated with higher mental distress. With increasing COVID-19 stress, mental distress levels were significantly higher for men who used more suppression (<xref rid="tab5" ref-type="table">Table 5</xref> and <xref rid="fig4" ref-type="fig">Figure 4</xref>). The results of the gender-specific moderation analyses are also supported by the zero-order correlational patterns of the subsamples of women and men (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Men: conditional effects of COVID-19 stress on general mental distress for low, medium, and high levels of reappraisal and low, medium, and high levels of suppression. The variables ERQ Suppression, ERQ Reappraisal, and COVID-19 Stress Scale were mean centered prior to analysis (<italic>n</italic>&#x2009;=&#x2009;323).</p>
</caption>
<graphic xlink:href="fpsyg-14-1121986-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="sec18" sec-type="discussions">
<title>Discussion</title>
<sec id="sec19">
<title>Major findings</title>
<p>This study investigated whether cognitive reappraisal and expressive suppression moderated the relationship between COVID-19 stress and general mental distress during the early months of the COVID-19 pandemic in Norway. We found that cognitive reappraisal and suppression were differently related to COVID-19 stress and had opposite associations with general distress. Moreover, both variables served as moderators of the relationship between COVID-19 stress and general mental distress. While suppression worsened the relationship between COVID-19 stress and general mental distress, cognitive reappraisal buffered the relationship. When COVID-19 stress was low, this was also the case for general mental distress, and the mode of emotion regulation did not matter. This changed with increasing severity of COVID-19 stress. Here, lower cognitive reappraisal and higher emotion suppression were associated with elevated levels of general mental distress. Our findings revealed two significant gender differences. (1) Men had higher scores of expressive suppression, and women had higher scores of cognitive reappraisal. (2) Gender-specific moderation analyses suggest differential ways of emotion regulation. In women, cognitive reappraisal showed a significant negative relation to mental distress, and a substantial buffering effect of the relation between COVID-19 stress and mental distress. While suppression was positively related to higher distress, it did not buffer the relation between COVID-19 stress and mental distress. In men, cognitive reappraisal was not significantly related to mental distress, and it did not show a buffering effect. However, suppression was significantly associated with higher mental distress, and as a moderator, it substantially exacerbated the association of COVID-19 stress and mental distress. All in all, our data suggest that constructive emotion regulation became particularly relevant in situations of high COVID-19 stress.</p>
<p>Overall, our results are consistent with pre-pandemic research on emotion regulation showing that reappraisal buffered and suppression exacerbated associations between stress and symptoms of mental distress like anxiety and depression (e.g., <xref ref-type="bibr" rid="ref118">Troy et al., 2010</xref>; <xref ref-type="bibr" rid="ref121">Vanderhasselt et al., 2014</xref>; <xref ref-type="bibr" rid="ref13">Boyes et al., 2016</xref>). The findings of the study at hand are also in line with recent COVID-19 studies that replicated the stress-distress buffering effect of cognitive reappraisal and the exacerbating effect of expressive suppression (<xref ref-type="bibr" rid="ref93">Prikhidko et al., 2020</xref>; <xref ref-type="bibr" rid="ref129">Xu et al., 2020</xref>; <xref ref-type="bibr" rid="ref130">Yang et al., 2020</xref>; <xref ref-type="bibr" rid="ref38">Gr&#x00F6;ndal et al., 2021</xref>; <xref ref-type="bibr" rid="ref66">Kuhlman et al., 2021</xref>; <xref ref-type="bibr" rid="ref94">Raio et al., 2021</xref>; <xref ref-type="bibr" rid="ref131">Ye et al., 2021</xref>; <xref ref-type="bibr" rid="ref133">Zhang et al., 2021</xref>; <xref ref-type="bibr" rid="ref23">Chen et al., 2022</xref>; <xref ref-type="bibr" rid="ref122">Vertsberger et al., 2022</xref>).</p>
<p>Our results concerning gender-specific differentiations confirm extensive previous research that suggested gender differences in emotion regulation (<xref ref-type="bibr" rid="ref113">Tamres et al., 2002</xref>; <xref ref-type="bibr" rid="ref82">Nolen-Hoeksema, 2012</xref>; <xref ref-type="bibr" rid="ref37">Goubet and Chrysikou, 2019</xref>; <xref ref-type="bibr" rid="ref98">Rogier et al., 2019</xref>). The higher use of reappraisal by women and of suppression by men is in accordance with several previous studies before and during the COVID-19 pandemic (<xref ref-type="bibr" rid="ref113">Tamres et al., 2002</xref>; <xref ref-type="bibr" rid="ref32">Flynn et al., 2010</xref>; <xref ref-type="bibr" rid="ref83">Nolen-Hoeksema and Aldao, 2011</xref>; <xref ref-type="bibr" rid="ref80">Meg&#x0131;as-Robles et al., 2019</xref>; <xref ref-type="bibr" rid="ref98">Rogier et al., 2019</xref>; <xref ref-type="bibr" rid="ref17">Canl&#x0131; and Kara&#x015F;ar, 2020</xref>; <xref ref-type="bibr" rid="ref101">Santi et al., 2021</xref>; <xref ref-type="bibr" rid="ref70">Li et al., 2022</xref>).</p>
<p>We are unaware of previous investigations comparing women and men regarding stress-distress buffering and exacerbating moderator effects of cognitive reappraisal and expressive suppression, respectively. However, our data fit into the puzzle of different gender-specific results of moderation analyses of emotion regulation before the COVID-19 pandemic (<xref ref-type="bibr" rid="ref32">Flynn et al., 2010</xref>; <xref ref-type="bibr" rid="ref82">Nolen-Hoeksema, 2012</xref>; <xref ref-type="bibr" rid="ref80">Meg&#x0131;as-Robles et al., 2019</xref>; <xref ref-type="bibr" rid="ref98">Rogier et al., 2019</xref>; <xref ref-type="bibr" rid="ref132">Zhang et al., 2020</xref>; <xref ref-type="bibr" rid="ref56">Jiang et al., 2022</xref>; <xref ref-type="bibr" rid="ref77">Lutz et al., 2022</xref>), and also during the pandemic (<xref ref-type="bibr" rid="ref81">Mu&#x00F1;oz-Navarro et al., 2021</xref>; <xref ref-type="bibr" rid="ref101">Santi et al., 2021</xref>; <xref ref-type="bibr" rid="ref87">Panno et al., 2022</xref>; <xref ref-type="bibr" rid="ref97">Rodas et al., 2022</xref>). At this point, we suggest that further studies are necessary with the aim of exploring potential superordinate factors and processes to explain common patterns and pathways underlying the diverse findings on specific moderation effects.</p>
<sec id="sec20">
<title>The role of cognitive reappraisal and suppression in stressful COVID-19 times</title>
<p>As previously stated, people&#x2019;s emotion regulation abilities seem to be influenced by contextual factors (<xref ref-type="bibr" rid="ref118">Troy et al., 2010</xref>; <xref ref-type="bibr" rid="ref41">Gross, 2015</xref>; <xref ref-type="bibr" rid="ref112">Tamir, 2016</xref>; <xref ref-type="bibr" rid="ref115">Troy et al., 2017</xref>). Research shows that in contexts of uncontrollable stressors, cognitive reappraisal becomes particularly beneficial for people&#x2019;s mental health. However, contextual factors are defined as all intervening factors that affect a complex phenomenon (c.f. <xref ref-type="bibr" rid="ref91">Ploeg et al., 2019</xref>) (e.g., transactions between individuals and the environment) (<xref ref-type="bibr" rid="ref82">Nolen-Hoeksema, 2012</xref>). Examples of (external) contextual factors in this study are the culture, welfare, state of health, living conditions, severity of the COVID-19 restrictions, COVID-19 mortality rates, leadership (authorities) and political trust. The Norwegian lockdown was relatively short in duration (From March 11th 2020, with a gradual relaxation in April 2020). At the time of performing this study, the authorities in Norway were gradually dispensing with some of COVID-19 restrictions (<xref ref-type="bibr" rid="ref120">Ursin et al., 2020</xref>), although social distancing, social isolation, working from home and travel restrictions were still applicable (<xref ref-type="bibr" rid="ref61">Knudsen et al., 2021</xref>). Health and welfare are contextual factors that may have influenced our findings (<xref ref-type="bibr" rid="ref99">Sachs et al., 2022</xref>). Norway is ranked among the top 10 countries of the world in GNP <italic>per capita</italic>, with a high level of welfare and strong and resilient national health systems, including public health (<xref ref-type="bibr" rid="ref84">OECD, 2020</xref>; <xref ref-type="bibr" rid="ref15">Britannica, 2022</xref>), (e.g., <xref ref-type="bibr" rid="ref99">Sachs et al., 2022</xref>). The COVID-19 mortality rate in Norway was low (0.45%) compared to its neighboring countries (1.6&#x2013;2%) and further afield, such as Italy and Spain (7&#x2013;10%) (<xref ref-type="bibr" rid="ref108">Sciencenorway, 2022</xref>). Another contextual factor that may have influenced our findings was that the public had a high level of trust in the Norwegian authorities and viewed them as being transparent and honest (<xref ref-type="bibr" rid="ref86">Offerdal et al., 2021</xref>; <xref ref-type="bibr" rid="ref54">Ihlen et al., 2022</xref>).Moreover, lifespan (individual factors) also appears to influence people&#x2019;s emotion regulation behaviour (<xref ref-type="bibr" rid="ref19">Carstensen et al., 2011</xref>; <xref ref-type="bibr" rid="ref67">Kunzmann and Wrosch, 2018</xref>). Lifespan changes are associated with improved emotional stability (e.g., using more adaptive emotion regulation strategies) and well-being (<xref ref-type="bibr" rid="ref78">Martins et al., 2016</xref>; <xref ref-type="bibr" rid="ref73">Livingstone and Isaacowitz, 2018</xref>). A comparative study of COVID-19 stress and general mental distress between Norway and Germany/Austria (<xref ref-type="bibr" rid="ref63">Krampe et al., 2021</xref>) (same data set) shows that Norwegian citizens had better mental health, indicated by less COVID-19 stress and general mental distress. Other studies comparing mental health/well-being before and during the onset of the pandemic in Norway found only a slight increase in mental health issues, particularly in vulnerable groups (<xref ref-type="bibr" rid="ref50">Hoffart et al., 2020</xref>; <xref ref-type="bibr" rid="ref28">Ebrahimi et al., 2021</xref>). However, constructive use of cognitive reappraisal is not always easy (<xref ref-type="bibr" rid="ref116">Troy et al., 2018</xref>) and requires sufficient mental resources, such as vitality and mental well-being (<xref ref-type="bibr" rid="ref116">Troy et al., 2018</xref>; <xref ref-type="bibr" rid="ref47">Haver et al., 2021</xref>; <xref ref-type="bibr" rid="ref128">Wu et al., 2021</xref>). Since cognitive reappraisal is closely linked to lifespan (average age: 52&#x2009;years) and mental health/well-being, we believe that contextual and individual factors may have influenced our findings.</p>
<p>In terms of suppression, numerous COVID-19 studies indicate that lack of social support, loss of community and friendship worsened psychological distress (e.g., <xref ref-type="bibr" rid="ref9">Banerjee and Rai, 2020</xref>; <xref ref-type="bibr" rid="ref55">Jain et al., 2020</xref>; <xref ref-type="bibr" rid="ref110">Smith et al., 2020</xref>; <xref ref-type="bibr" rid="ref89">Philpot et al., 2021</xref>; <xref ref-type="bibr" rid="ref123">von Mohr et al., 2021</xref>). It is well-researched that social connectedness e.g., social networking, community, engagement and friendly touch, acts as a buffer against various forms of distress (for review, see <xref ref-type="bibr" rid="ref34">Gari&#x00E9;py et al., 2016</xref>). Having positive relationships is associated with mental health, particularly in times of crisis and involves the opportunity to express both negative and positive emotions through verbal and non-verbal communication (<xref ref-type="bibr" rid="ref90">Phutela, 2015</xref>). It may thus be argued that worries, together with social distancing and social isolation (e.g., felt left to themselves), may have diminished the likelihood of using cognitive reappraisal or other adaptive emotion regulation strategies. Suppressors often experience lack of communication skills and poor relationships and they do not normally share their emotional experiences with others (<xref ref-type="bibr" rid="ref41">Gross, 2015</xref>). In the long term this may lead to rumination thinking or at worst catastrophic thinking (<xref ref-type="bibr" rid="ref2">Aldao and Nolen-Hoeksema, 2010</xref>), undermining psychological health (<xref ref-type="bibr" rid="ref4">Aldao et al., 2010</xref>). That said, we do not yet know whether suppression was frequently or chronically used by the study subjects before the pandemic. Thus, this interpretation has to be handled with caution. Finally, we found a small to medium negative association between age and suppression, showing that younger people are more prone to using suppression. Most research shows that older adults are more consistent in their emotion regulation pattern across situations and are more likely to regulate their emotions by engaging in cognitive reappraisal (<xref ref-type="bibr" rid="ref57">John and Gross, 2004</xref>; <xref ref-type="bibr" rid="ref124">Webb et al., 2012</xref>; <xref ref-type="bibr" rid="ref109">Sims et al., 2015</xref>). These differences in emotion regulation may be linked to the fact that older adults have longer life experience: they are less physiologically reactive, they experience higher well-being and they have learned which strategies are most effective to achieve their personal goals (<xref ref-type="bibr" rid="ref19">Carstensen et al., 2011</xref>; <xref ref-type="bibr" rid="ref29">Eldesouky and English, 2018</xref>).</p>
</sec>
</sec>
<sec id="sec21">
<title>Gender differences in emotion regulation</title>
<p>Previous research shows gender differences in emotion regulation, particularly in terms of a flexible use of emotion regulation (<xref ref-type="bibr" rid="ref83">Nolen-Hoeksema and Aldao, 2011</xref>; <xref ref-type="bibr" rid="ref37">Goubet and Chrysikou, 2019</xref>). Flexible use of emotion regulation (e.g., contextual emotion regulation) refers to matching emotion regulation strategies to environmental circumstances (<xref ref-type="bibr" rid="ref5">Aldao et al., 2015</xref>; <xref ref-type="bibr" rid="ref119">Ullah et al., 2018</xref>). Our findings revealed that cognitive reappraisal was negatively related to general mental distress in women but not in men. The moderating role of cognitive reappraisal was significant for women but not for men. This may be linked to previous research arguing that women are more interpersonally oriented &#x2013; they are more likely than men to seek social support in stressful times and are more prone to experiencing and expressing emotions. Women also have a larger repertoire of different emotion regulation strategies and are more skilled in the emotional domain than men (<xref ref-type="bibr" rid="ref14">Brackett et al., 2006</xref>; <xref ref-type="bibr" rid="ref82">Nolen-Hoeksema, 2012</xref>; <xref ref-type="bibr" rid="ref22">Chaplin and Aldao, 2013</xref>). Several investigations have revealed that women are better at cognitive reappraisal (<xref ref-type="bibr" rid="ref113">Tamres et al., 2002</xref>; <xref ref-type="bibr" rid="ref83">Nolen-Hoeksema and Aldao, 2011</xref>; <xref ref-type="bibr" rid="ref80">Meg&#x0131;as-Robles et al., 2019</xref>; <xref ref-type="bibr" rid="ref98">Rogier et al., 2019</xref>; <xref ref-type="bibr" rid="ref70">Li et al., 2022</xref>). These studies, along with our data, may indicate that men engage less in cognitive reappraisal but it is also possible that men use cognitive reappraisal unconsciously and thus do not report it (<xref ref-type="bibr" rid="ref82">Nolen-Hoeksema, 2012</xref>).</p>
<p>In terms of suppression, our findings revealed that suppression was positively related to general mental distress in both women and men. When examining the moderation role, suppression was significant for men but not for women. These gender differences can be linked to the flexible use of emotion regulation, which involves a sensitivity to the situational demands (context), ability to use different emotion regulation strategies (large repertoire) and the ability to switch emotion regulation strategy if needed (<xref ref-type="bibr" rid="ref5">Aldao et al., 2015</xref>; <xref ref-type="bibr" rid="ref29">Eldesouky and English, 2018</xref>; <xref ref-type="bibr" rid="ref37">Goubet and Chrysikou, 2019</xref>). Notably, flexible use of emotion regulation is found to be adaptive when it results in an enhanced likelihood of achieving personal and meaningful goals (<xref ref-type="bibr" rid="ref5">Aldao et al., 2015</xref>; <xref ref-type="bibr" rid="ref98">Rogier et al., 2019</xref>). For example, by engaging in risk-reducing behaviour or responding to environmental demands (e.g., following the government restrictions) the women in this study may have used suppression as a problem-focused strategy, enabling the threat to be endured and/or minimized. Thus, they were able to replace an uncomfortable emotion (anger, fear) with a more acceptable one or protect their relatives from discomfort or pain (e.g., alleviate their relatives&#x2019; fear). Suppression may therefore have had a functional and adaptive role during the pandemic, serving to mobilize energy for these women and help them pursue their goals (<xref ref-type="bibr" rid="ref112">Tamir, 2016</xref>; <xref ref-type="bibr" rid="ref98">Rogier et al., 2019</xref>). This use of suppression may have enabled women to adapt to the pandemic more effectively (e.g., <xref ref-type="bibr" rid="ref117">Troy et al., 2013</xref>). Concerning men and their use of suppression, our findings are in line with previous meta-analyses, reviews and recent studies showing that men are more likely to engage in suppressing than women (<xref ref-type="bibr" rid="ref4">Aldao et al., 2010</xref>; <xref ref-type="bibr" rid="ref32">Flynn et al., 2010</xref>; <xref ref-type="bibr" rid="ref124">Webb et al., 2012</xref>; <xref ref-type="bibr" rid="ref80">Meg&#x0131;as-Robles et al., 2019</xref>; <xref ref-type="bibr" rid="ref98">Rogier et al., 2019</xref>). These findings were also confirmed during the pandemic (e.g., Italy, Turkey; China) (<xref ref-type="bibr" rid="ref17">Canl&#x0131; and Kara&#x015F;ar, 2020</xref>; <xref ref-type="bibr" rid="ref101">Santi et al., 2021</xref>; <xref ref-type="bibr" rid="ref70">Li et al., 2022</xref>). A potential explanation is complex but may be linked to women reporting more symptoms of anxiety and depression, for example, through emotional expression, venting of emotions and social support, which in turn decreases suppression. Men on the other hand are more likely to hide, remove, reduce or deflect their emotions and depression symptoms. Men also have a greater tendency to use alcohol to cope (<xref ref-type="bibr" rid="ref82">Nolen-Hoeksema, 2012</xref>; <xref ref-type="bibr" rid="ref20">Cavanagh et al., 2016</xref>). However, our findings must be interpreted with caution since gender differences in emotion regulation are relatively complex. The gender difference in emotion regulation can be linked to several factors, such as social cultural norms (e.g., masculinity, femininity), values, personality, stereotypes, emotion regulation abilities (flexibility), and biological and psychological explanations (<xref ref-type="bibr" rid="ref79">Matsumoto et al., 2008</xref>; <xref ref-type="bibr" rid="ref22">Chaplin and Aldao, 2013</xref>; <xref ref-type="bibr" rid="ref75">Lopez-Zafra and Gartzia, 2014</xref>; <xref ref-type="bibr" rid="ref26">Costa et al., 2017</xref>; <xref ref-type="bibr" rid="ref98">Rogier et al., 2019</xref>).</p>
</sec>
<sec id="sec22">
<title>Limitations, future directions, and conclusions</title>
<p>There are several limitations to the present study. Firstly, the study was conducted in Norway with a relatively high level of health and subjective well-being. Surveys conducted to measure life satisfaction in terms of &#x2018;the happiest country&#x2019; have ranked Norway in the top 10 since 2012 (<xref ref-type="bibr" rid="ref84">OECD, 2020</xref>). Cultural beliefs (e.g., collectivistic vs. individual cultures) and cultural differences, such as norms, values, stereotypes, are all important moderators and mediators in the relationship between emotion regulation and psychological health (<xref ref-type="bibr" rid="ref52">Hu et al., 2014</xref>; <xref ref-type="bibr" rid="ref116">Troy et al., 2018</xref>). Moreover, contextual factors, such as welfare, trust in government, infection rates and morality rates during the outbreak of the pandemic are also important aspects in any choice of emotion regulation. Investigating emotion regulation in different countries and contexts is thus required. Secondly, although the study covered a wide age range, the sample was not representative of the general population. Gender differences, as well as education level and life span may have influenced choice of emotion regulation. The sample may thus have been biased, with an overrepresentation of women, relatively high average age and highly educated individuals. Thirdly, this study has surveyed cognitive reappraisal and suppression, two of many identified strategies that individuals use to regulate their emotions (<xref ref-type="bibr" rid="ref88">Parkinson and Totterdell, 1999</xref>). In order to further increase our understanding of which emotion regulation strategies constitute effective emotion regulation during crisis, a wider range of strategies should be included (e.g., maladaptive emotion regulation: rumination, catastrophizing). Fourthly, to strengthen the validity and to extend our knowledge during (global) crisis, longitudinal studies are required to see how individuals&#x2019; emotion regulation strategies fluctuate over time and the extent of their impact on psychological health, including short-and long-time effects of emotion regulation. Finally, to expand our conceptual understanding of emotion regulation during crises and to generate relevant hypotheses future research should include more qualitative studies. Despite these limitations, the convenience sampling of this material is coherent and consistent. The present study is well suited as a study aiming to explore new knowledge about COVID-19 stress, emotion regulation and general mental distress during a global health crisis.</p>
<p>This study examines emotion regulation in times of crises. The study also provides a more nuanced understanding of the role of cognitive reappraisal and suppression in a Scandinavian context. Even though COVID-19 now appears to be under control in most countries, it is important to note that new variants of the virus and new pandemics, alongside energy crises, economic crises and natural disasters may arise in the future. Given that cognitive reappraisal and suppression have different influences on the relationships between COVID-19 stress and general mental distress, health authorities should implement emotion regulation programs to promote a healthy and flexible use of emotion regulation. In practical terms, our findings suggest preventive measure responses through health promoting programs for developing/building psychological resilience in adolescents throughout their lives. Vulnerable groups, such as the youngest, would particularly benefit from emotion regulation training in times of crisis (e.g., web-based mindfulness programs). Health authorities should therefore be encouraged to develop health promoting programs (e.g., online self-guided), followed by preventive measures and interventions in school. Moreover, the findings in this study emphasize the importance of considering gender differences in future emotion regulation research. Consequently, it is vital to acknowledge that differences may exist between genders in terms of emotion regulation. This requires gender awareness, e.g., tailored programs for men and women.</p>
</sec>
</sec>
<sec id="sec23" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="sec24">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by Personvernombudet Innlandet Hospital Trust, Norway, No 20/02104&#x2013;1. All participants expressed their informed consent by explicitly agreeing to continue with the questionnaire after being informed about the study&#x2019;s aims, employed data protection, participants&#x2019; rights, and contact points for questions or concerns. All methods were carried out in accordance with relevant guidelines and regulations. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="sec25">
<title>Author contributions</title>
<p>AH wrote the first draft of the manuscript and, together with HK, TS, and LD performed the statistical analyses. LD and GS conceptualized, developed, and concluded the survey. AH contributed to the conceptualization and development of the survey. LD, TS, and HK performed data curation and project administration of the data set. AH, HK, and TS finalized the manuscript. All authors discussed the results, commented on the manuscript, contributed to critical revision of the manuscript, and read and approved the final manuscript.</p>
</sec>
<sec id="sec26" sec-type="funding-information">
<title>Funding</title>
<p>This study was funded by Innlandet Hospital Trust. Research number/Grant: 677300.</p>
</sec>
<sec id="conf1" 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="sec100" 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>
</body>
<back>
<sec id="sec28" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1121986/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1121986/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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