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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Contributions of the social environment to first-onset and recurrent mania</title><author><name sortKey="Gilman, Stephen E" sort="Gilman, Stephen E" uniqKey="Gilman S" first="Stephen E." last="Gilman">Stephen E. Gilman</name></author><author><name sortKey="Ni, Michael Y" sort="Ni, Michael Y" uniqKey="Ni M" first="Michael Y." last="Ni">Michael Y. Ni</name></author><author><name sortKey="Dunn, Erin C" sort="Dunn, Erin C" uniqKey="Dunn E" first="Erin C." last="Dunn">Erin C. Dunn</name></author><author><name sortKey="Breslau, Joshua" sort="Breslau, Joshua" uniqKey="Breslau J" first="Joshua" last="Breslau">Joshua Breslau</name></author><author><name sortKey="Mclaughlin, Katie A" sort="Mclaughlin, Katie A" uniqKey="Mclaughlin K" first="Katie A." last="Mclaughlin">Katie A. Mclaughlin</name></author><author><name sortKey="Smoller, Jordan W" sort="Smoller, Jordan W" uniqKey="Smoller J" first="Jordan W." last="Smoller">Jordan W. Smoller</name></author><author><name sortKey="Perlis, Roy H" sort="Perlis, Roy H" uniqKey="Perlis R" first="Roy H." last="Perlis">Roy H. Perlis</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">24751965</idno><idno type="pmc">4206672</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4206672</idno><idno type="RBID">PMC:4206672</idno><idno type="doi">10.1038/mp.2014.36</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">001E86</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001E86</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Contributions of the social environment to first-onset and recurrent mania</title><author><name sortKey="Gilman, Stephen E" sort="Gilman, Stephen E" uniqKey="Gilman S" first="Stephen E." last="Gilman">Stephen E. Gilman</name></author><author><name sortKey="Ni, Michael Y" sort="Ni, Michael Y" uniqKey="Ni M" first="Michael Y." last="Ni">Michael Y. Ni</name></author><author><name sortKey="Dunn, Erin C" sort="Dunn, Erin C" uniqKey="Dunn E" first="Erin C." last="Dunn">Erin C. Dunn</name></author><author><name sortKey="Breslau, Joshua" sort="Breslau, Joshua" uniqKey="Breslau J" first="Joshua" last="Breslau">Joshua Breslau</name></author><author><name sortKey="Mclaughlin, Katie A" sort="Mclaughlin, Katie A" uniqKey="Mclaughlin K" first="Katie A." last="Mclaughlin">Katie A. Mclaughlin</name></author><author><name sortKey="Smoller, Jordan W" sort="Smoller, Jordan W" uniqKey="Smoller J" first="Jordan W." last="Smoller">Jordan W. Smoller</name></author><author><name sortKey="Perlis, Roy H" sort="Perlis, Roy H" uniqKey="Perlis R" first="Roy H." last="Perlis">Roy H. Perlis</name></author></analytic><series><title level="j">Molecular psychiatry</title><idno type="ISSN">1359-4184</idno><idno type="eISSN">1476-5578</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">In treated cohorts, individuals with bipolar disorder are more likely to report childhood adversities and recent stressors than individuals without bipolar disorder; similarly, in registry-based studies, childhood adversities are more common among individuals who later become hospitalized for bipolar disorder. Because these types of studies rely on treatment-seeking samples or hospital diagnoses, they leave unresolved the question of whether or not social experiences are involved in the etiology of bipolar disorder. We investigated the role of childhood adversities and adulthood stressors in liability for bipolar disorder using data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC, n=33,375). We analyzed risk for initial-onset and recurrent DSM-IV manic episodes during the study’s 3-year follow-up period. Childhood physical abuse and sexual maltreatment were associated with significantly higher risks of both first onset mania (odds ratio (OR) for abuse: 2.23; 95% confidence interval (CI): 1.71–2.91; OR for maltreatment: 2.10; CI: 1.55–2.83) and recurrent mania (OR for abuse: 1.55; CI: 1.00–2.40; OR for maltreatment: 1.60; CI=1.00–2.55). In addition, past-year stressors in the domains of interpersonal instability and financial hardship were associated with a significantly higher risk of incident and recurrent mania. Exposure to childhood adversity potentiated the effects of recent stressors on adult mania. Our findings demonstrate a role of social experiences in the initial onset of bipolar disorder, as well as in its prospective course, and are consistent with etiologic models of bipolar disorder that implicate deficits in developmentally established stress-response pathways.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Barnett, Jh" uniqKey="Barnett J">JH Barnett</name></author><author><name sortKey="Smoller, Jw" uniqKey="Smoller J">JW Smoller</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Marchand, Wr" uniqKey="Marchand W">WR Marchand</name></author><author><name sortKey="Wirth, L" uniqKey="Wirth L">L Wirth</name></author><author><name sortKey="Simon, C" uniqKey="Simon C">C Simon</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Romero, S" uniqKey="Romero S">S Romero</name></author><author><name sortKey="Birmaher, B" uniqKey="Birmaher B">B 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<front><journal-meta><journal-id journal-id-type="nlm-journal-id">9607835</journal-id><journal-id journal-id-type="pubmed-jr-id">20545</journal-id><journal-id journal-id-type="nlm-ta">Mol Psychiatry</journal-id><journal-id journal-id-type="iso-abbrev">Mol. Psychiatry</journal-id><journal-title-group><journal-title>Molecular psychiatry</journal-title></journal-title-group><issn pub-type="ppub">1359-4184</issn><issn pub-type="epub">1476-5578</issn></journal-meta><article-meta><article-id pub-id-type="pmid">24751965</article-id><article-id pub-id-type="pmc">4206672</article-id><article-id pub-id-type="doi">10.1038/mp.2014.36</article-id><article-id pub-id-type="manuscript">NIHMS574518</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Contributions of the social environment to first-onset and recurrent mania</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Gilman</surname><given-names>Stephen E.</given-names></name><degrees>ScD.</degrees><xref rid="FN1" ref-type="author-notes">*</xref><aff id="A1">Departments of Social & Behavioral Sciences, and Epidemiology, Harvard School of Public Health; and Department of Psychiatry, Massachusetts General Hospital</aff></contrib><contrib contrib-type="author"><name><surname>Ni</surname><given-names>Michael Y.</given-names></name><degrees>MBBS, MPH, MRCP.</degrees><aff id="A2">School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China</aff></contrib><contrib contrib-type="author"><name><surname>Dunn</surname><given-names>Erin C.</given-names></name><degrees>ScD, MPH.</degrees><aff id="A3">Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA; Department of Psychiatry, Harvard Medical School, Boston, MA; and Stanley Center for Psychiatric Research, The Broad Institute of Harvard and MIT, Cambridge, MA</aff></contrib><contrib contrib-type="author"><name><surname>Breslau</surname><given-names>Joshua</given-names></name><degrees>PhD, ScD.</degrees><aff id="A4">RAND Corporation, Pittsburgh, PA</aff></contrib><contrib contrib-type="author"><name><surname>McLaughlin</surname><given-names>Katie A.</given-names></name><degrees>PhD.</degrees><aff id="A5">Department of Psychology, University of Washington</aff></contrib><contrib contrib-type="author"><name><surname>Smoller</surname><given-names>Jordan W.</given-names></name><degrees>MD, ScD.</degrees><aff id="A6">Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA; Department of Psychiatry, Harvard Medical School, Boston, MA; and Stanley Center for Psychiatric Research, The Broad Institute of Harvard and MIT, Cambridge, MA</aff></contrib><contrib contrib-type="author"><name><surname>Perlis</surname><given-names>Roy H.</given-names></name><degrees>MD, MSc.</degrees><aff id="A7">Center for Experimental Drugs and Diagnostics, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, and Stanley Center for Psychiatric Research, The Broad Institute of Harvard and MIT, Cambridge, MA</aff></contrib></contrib-group><author-notes><corresp id="FN1"><label>*</label>Address for correspondence: Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115. Phone, 617-432-6383; Fax, 617-432-3755; <email>sgilman@hsph.harvard.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>22</day><month>4</month><year>2014</year></pub-date><pub-date pub-type="epub"><day>22</day><month>4</month><year>2014</year></pub-date><pub-date pub-type="ppub"><month>3</month><year>2015</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>9</month><year>2015</year></pub-date><volume>20</volume><issue>3</issue><fpage>329</fpage><lpage>336</lpage><pmc-comment>elocation-id from pubmed: 10.1038/mp.2014.36</pmc-comment>
<permissions><license xlink:href="http://www.nature.com/authors/editorial_policies/license.html#terms"><license-p>Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:<ext-link ext-link-type="uri" xlink:href="http://www.nature.com/authors/editorial_policies/license.html#terms">http://www.nature.com/authors/editorial_policies/license.html#terms</ext-link></license-p></license></permissions><abstract><p id="P1">In treated cohorts, individuals with bipolar disorder are more likely to report childhood adversities and recent stressors than individuals without bipolar disorder; similarly, in registry-based studies, childhood adversities are more common among individuals who later become hospitalized for bipolar disorder. Because these types of studies rely on treatment-seeking samples or hospital diagnoses, they leave unresolved the question of whether or not social experiences are involved in the etiology of bipolar disorder. We investigated the role of childhood adversities and adulthood stressors in liability for bipolar disorder using data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC, n=33,375). We analyzed risk for initial-onset and recurrent DSM-IV manic episodes during the study’s 3-year follow-up period. Childhood physical abuse and sexual maltreatment were associated with significantly higher risks of both first onset mania (odds ratio (OR) for abuse: 2.23; 95% confidence interval (CI): 1.71–2.91; OR for maltreatment: 2.10; CI: 1.55–2.83) and recurrent mania (OR for abuse: 1.55; CI: 1.00–2.40; OR for maltreatment: 1.60; CI=1.00–2.55). In addition, past-year stressors in the domains of interpersonal instability and financial hardship were associated with a significantly higher risk of incident and recurrent mania. Exposure to childhood adversity potentiated the effects of recent stressors on adult mania. Our findings demonstrate a role of social experiences in the initial onset of bipolar disorder, as well as in its prospective course, and are consistent with etiologic models of bipolar disorder that implicate deficits in developmentally established stress-response pathways.</p></abstract><kwd-group><kwd>Mania</kwd><kwd>bipolar disorder</kwd><kwd>childhood adversities</kwd><kwd>stress</kwd></kwd-group></article-meta></front><body><sec sec-type="intro" id="S1"><title>INTRODUCTION</title><p id="P2">There has been a longstanding suspicion that social stressors contribute to the risk of bipolar disorder, but what limited evidence exists is not strong enough to support causation despite evidence from twin studies indicating that environmental factors account for approximately one-quarter to one-third of the population variance in bipolar disorder.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> Patients with bipolar disorder report high levels of adverse life events, particularly childhood maltreatment.<sup><xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R3" ref-type="bibr">3</xref></sup> When compared to individuals without bipolar disorder, those with bipolar disorder report significantly greater past exposure to a range of stressful life events.<sup><xref rid="R4" ref-type="bibr">4</xref>–<xref rid="R7" ref-type="bibr">7</xref></sup> Bipolar disorder has also been associated with demographic characteristics such as lower income and education, unemployment, and not being married.<sup><xref rid="R8" ref-type="bibr">8</xref>–<xref rid="R10" ref-type="bibr">10</xref></sup> Although the results of these studies are consistent with a social causation model of mania, they could also be explained by the disabling social consequences of living with bipolar disorder.</p><p id="P3">The strongest evidence to date that adverse experiences increase the risk for the development of bipolar disorder comes from the Danish psychiatric registries, demonstrating that the early loss of a parental or sibling more than doubles the risk of hospitalization for bipolar disorder, and that a recent divorce or unemployment also increases the risk of subsequent mania.<sup><xref rid="R11" ref-type="bibr">11</xref>–<xref rid="R13" ref-type="bibr">13</xref></sup> Furthermore, social experiences may exacerbate the course of bipolar disorder, by precipitating recurrent manic episodes among individuals who have already experienced onset of mania; this evidence is based on studies that retrospectively assessed the presence of stressors among patients in treatment for bipolar disorder,<sup><xref rid="R14" ref-type="bibr">14</xref>–<xref rid="R17" ref-type="bibr">17</xref></sup> studies that related stressors to the prospective recurrence of manic episodes,<sup><xref rid="R18" ref-type="bibr">18</xref>–<xref rid="R23" ref-type="bibr">23</xref></sup> and from studies that tracked episode recovery as a function of stressful life events.<sup><xref rid="R24" ref-type="bibr">24</xref>,<xref rid="R25" ref-type="bibr">25</xref></sup> However, these studies were based on very small samples selected for treatment seeking, and could not rule out the influences of illness chronicity on the reporting of stressors.</p><p id="P4">Experiences over the life course have also been suggested to interact in various ways to enhance vulnerability to chronic bipolar disorder. According to a stress sensitization model, the influences of adult stressors on the course of bipolar illness are magnified among individuals with a history of childhood adversities;<sup><xref rid="R26" ref-type="bibr">26</xref>,<xref rid="R27" ref-type="bibr">27</xref></sup> this has been shown, for example, in major depression.<sup><xref rid="R28" ref-type="bibr">28</xref></sup> Alternatively, the experience of multiple prior manic episodes may also act to moderate the recurrence risk of manic episodes (i.e., episode sensitization).</p><p id="P5">The evidence for sensitization effects in bipolar disorder is quite limited. Dienes et al. reported an interaction between early adversity and stressful life events in predicting recurrent manic episodes among 58 adults with bipolar I disorder; individuals exposed to early adversity were more likely to have a manic episode after experiencing an adult stressor than individuals who were not exposed to early adversity.<sup><xref rid="R29" ref-type="bibr">29</xref></sup> We are unaware of studies evaluating sensitization effects in first onset mania. Tests of the episode sensitization hypothesis conducted in small clinical samples have largely failed to support it.<sup><xref rid="R16" ref-type="bibr">16</xref>,<xref rid="R29" ref-type="bibr">29</xref>–<xref rid="R31" ref-type="bibr">31</xref></sup></p><p id="P6">Accordingly, the current study addresses three unresolved questions regarding the social origins of mania: 1) does stress exposure over the life course increase risk for first-onset manic episodes; 2) does stress exposure predict recurrent manic episodes; and 3) do adult stressors associate with recurrence risk differently depending on individuals’ history of exposure to childhood stressors (consistent with stress sensitization), or individuals’ history of manic episodes (consistent with episode sensitization).</p></sec><sec id="S2"><title>PARTICIPANTS AND METHODS</title><sec id="S3"><title>Study sample</title><p id="P7">The National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) is a nationally representative household survey conducted by the National Institute on Alcohol Abuse and Alcoholism.<sup><xref rid="R32" ref-type="bibr">32</xref>,<xref rid="R33" ref-type="bibr">33</xref></sup> The Wave 1 response rate was 81.2%, resulting in a sample size of 43,093 participants ages ≥18. The Wave 2 survey, conducted approximately 3 years later, included 34,653 of the Wave 1 participants, representing 86.7% of the 39,959 subjects who were eligible for re-interview. The combined response rate for both waves was 70.2%.<sup><xref rid="R34" ref-type="bibr">34</xref></sup> The analytic sample for the current study included all participants at Wave 2 with complete data on the measures described below.</p></sec><sec id="S4"><title>Measures</title><p id="P8">The NESARC used the Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV (AUDADIS),<sup><xref rid="R35" ref-type="bibr">35</xref></sup> a fully structured diagnostic interview administered by trained non-clinician interviewers, to assess disorders according to DSM-IV criteria.<sup><xref rid="R36" ref-type="bibr">36</xref>–<xref rid="R39" ref-type="bibr">39</xref></sup> The primary outcome of this study is the presence of a manic episode during 3-year follow-up period. Grant et al. reported that the test-retest reliability of diagnoses of bipolar disorder in the NESARC was good (kappa=0.59).<sup><xref rid="R9" ref-type="bibr">9</xref></sup></p><p id="P9">We investigated stressors that occurred in the past year as well as adversities that occurred in childhood. Past-year stressors were assessed at the baseline interview using a checklist of life events. The test-retest reliability of the NESARC’s assessment of stressful life events over a 6-week period was excellent (intra-class correlation=0.94).<sup><xref rid="R40" ref-type="bibr">40</xref></sup> We analyzed groupings of past-year stressors using two approaches: a theoretically based approach informed by DSM-IV’s Axis IV framework for reporting psychosocial and environmental problems, and an empirically based approach using latent class analysis.<sup><xref rid="R41" ref-type="bibr">41</xref></sup> The theoretically based approach focuses on the presence or absence of specific types of stressors within individuals, whereas in the empirically based approach, participants are categorized into distinct groups based on the patterns of stressors experienced.</p><p id="P10">In the theoretically based approach, we categorized past-year stressors into the following groups: problems with primary support group (including death of a close friend or family member; serious illness or injury of a close friend or family member; and separation, divorce, or end of a serious relationship); problems related to the social environment (defined as a serious problems with a neighbor, friend, or relative); occupational problems (including being fired or laid off; currently unemployed or unemployed for >1 month during the past year; trouble with boss or coworker; and change of jobs, responsibilities, or work hours); economic problems (including having experienced a major financial crisis, declared bankruptcy, or more than once been unable to pay bills on time; household income less than 150% of the federal poverty threshold; or received public assistance); problems with access to health care services (defined as lacking of health insurance); and finally, problems related to interaction with the legal system/crime (including trouble with the police, arrested, or sent to jail; and victim of a crime).</p><p id="P11">The empirically based approach entailed using latent class analysis to identify mutually exclusive groups of individuals with distinct patterns of exposure to the above 14 stressors, as described previously.<sup><xref rid="R41" ref-type="bibr">41</xref></sup> A five-class model provided the best fit to the data, characterized by the following patterns of recent stressors: 1) low stress exposure; 2) personal loss (death or serious injury of a close friend or family member); 3) financial, interpersonal instability (changed jobs and experienced a major financial crisis, as well as trouble with the police and being the victim of a crime); 4) economic difficulty (poverty and receipt of public assistance); and 5) occupational instability (fired or laid off, unemployed for more than a month, and changed jobs).</p><p id="P12">The childhood adversities, assessed retrospectively at the Wave 2 interview,<sup><xref rid="R42" ref-type="bibr">42</xref>–<xref rid="R44" ref-type="bibr">44</xref></sup> included childhood abuse (including neglect, verbal abuse, and physical abuse), sexual maltreatment, and childhood economic deprivation; these were analyzed separately based on prior evidence that physical abuse and sexual abuse confer independent risk for bipolar disorder.<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R17" ref-type="bibr">17</xref>,<xref rid="R45" ref-type="bibr">45</xref></sup> Abuse and sexual maltreatment before age 18 were assessed using items asking participants about their frequency of exposure to different types of adversities, which they rated on a 5-point scale anchored by ‘Never’ and ‘Very Often.’ The test-retest reliabilities of these childhood adversities in the NESARC are excellent, with intra-class correlations ranging from 0.80 to 0.94.<sup><xref rid="R40" ref-type="bibr">40</xref></sup> Abuse and sexual maltreatment scores were summed, and binary indicators of the top decile were created and used for analyses. Childhood economic deprivation was defined as receiving government financial assistance before age 18.</p></sec><sec id="S5"><title>Statistical analyses</title><p id="P13">We conducted separate analyses of incident (initial onset) and recurrent mania. Incident mania was analyzed among individuals without any history of a manic episode when they were enrolled in the study, whereas recurrent mania was analyzed among individuals who upon enrollment had experienced at least one manic episode in their lifetime. We fitted logistic regression models for incident and recurrent manic episodes, with childhood adversities and then past-year stressors entered as predictors, controlling for demographic characteristics (sex, age, educational attainment) and lifetime comorbidities assessed at baseline (alcohol or substance dependence, major depressive disorder).</p><p id="P14">We then fitted extended models to evaluate sensitization effects by adding interaction terms between childhood adversities and past-year stressors (assessing stress sensitization) and between the number of lifetime manic episodes and past-year stressors (assessing episode sensitization). We conducted all analyses in SUDAAN,<sup><xref rid="R46" ref-type="bibr">46</xref></sup> which adjusts variances and point estimates for the multi-stage sampling design, differential selection probabilities used to ascertain the NESARC sample, and response probabilities at the follow-up interview.</p></sec></sec><sec sec-type="results" id="S6"><title>RESULTS</title><p id="P15">The analytic sample includes 33,375 of the 34,653 (96.3%) NESARC respondents who participated in the 3-year follow-up interview and provided complete data on all study covariates. 811 participants (2.3%) met DSM-IV criteria for a manic episode during the follow-up period. 631 of these participants had a first onset manic episode during the follow-up period, whereas 180 of these participants had a prior history of mania upon enrollment and had recurrent episodes during the follow-up period. The demographic characteristics of participants in the study, as well as exposure to past-year stressors and childhood adversities, are given in <xref rid="T1" ref-type="table">Table 1</xref>. Guided by the Axis IV approach to categorizing psychosocial stressors, we determined the proportion of participants who endorsed each type of stressor in the year prior to enrollment; for example, half of the sample reported a problem in their social support group (50.7%), whereas one-tenth reported a legal problem in the past year (10.4%). In contrast, the groupings derived from an LCA categorized each participant into a single class according to their overall pattern of stress exposure. Approximately half of the sample was in the “low stress” category, 30.1% of the sample experienced a personal loss, and smaller proportions were placed in the financial/interpersonal, economic, and occupational stress categories. Further details of the LCA solution are provided in <xref rid="SD1" ref-type="supplementary-material">Supplemental Table 1</xref>, which indicates the prevalence of the 14 stressors among participants in each of the 5 latent classes, as well as the number of stressors experienced in each category. Participants in the ‘low stress’ and ‘personal loss’ categories experienced relatively few stressors, whereas those in the other 3 categories experienced on average 3.5 to 5.5 stressors in year preceding enrollment into the study.</p><sec id="S7"><title>First-onset (incident) mania</title><p id="P16">The relation of childhood adversities and past-year stressors to first-onset manic episodes is shown in <xref rid="T2" ref-type="table">Table 2</xref>. Model 1 analyzes childhood adversities alone; Model 2 incorporates the Axis IV groupings of past-year stressors, whereas Model 3 incorporates the LCA groupings. Abuse, sexual maltreatment, and economic disadvantage during childhood were independently associated with an elevated risk of bipolar disorder, with odds ratios in the range of 1.51 to 2.74. Past-year stressor assessed at enrollment also predicted first-onset manic episodes during the study’s 3-year follow-up period. The most pronounced risks were for the LCA groupings in Model 2. Relative to individuals in the low stress category, those who experienced a personal loss (OR=1.41; CI=1.02, 1.94), financial and interpersonal instability (OR=2.62; CI=1.95, 3.52), and economic difficulty (OR=1.93; CI=1.36, 2.73) were significantly more likely to have a first-onset manic episode. In addition, a history of childhood abuse (OR=2.23; CI=1.71, 2.91), sexual maltreatment (OR=2.10; CI=1.55, 2.83), and economic disadvantage (OR=1.27; CI=0.99, 1.62) remained associated with the risk of a first-onset manic episode.</p><p id="P17">Although the analysis sample excluded participants who, upon their enrollment into the NESARC, had a lifetime history of mania, subthreshold manic symptoms could have contributed to the likelihood of experiencing stressors prior to the baseline interview (leading to a “reverse causation” situation, wherein manic symptoms contributed to the development of the stressors). To address this potential problem we repeated the analyses in <xref rid="T2" ref-type="table">Table 2</xref> further restricting the sample to the 31,301 participants without any history of a manic <italic>or hypomanic</italic> episode upon enrollment, but the results were unchanged (<xref rid="SD1" ref-type="supplementary-material">Supplemental Table 2</xref>).</p><p id="P18">We then extended the models that included the LCA-based grouping of past-year stressors to investigate the stress sensitizing effects of childhood adversities by adding interaction terms between childhood and adult stressors. All three interactions were statistically significant (<xref rid="T3" ref-type="table">Table 3</xref>, last row). To interpret them, we calculated from the logistic regression models risk differences for each category of past-year stressors relative to the “Low Stress” category, and did so separately for those with and without childhood adversities. The <italic>differences</italic> in these risk differences between participants with and without each childhood adversity, labeled “Differential effects” in <xref rid="T3" ref-type="table">Table 3</xref>, quantify the childhood-adult stressor interactions. Differential effects greater than 0 provide support for stress sensitization, in that they reveal a more substantial increase in the probability of mania following a recent stressor among those with a history of childhood adversity than among those without such a history. The most notable evidence for stress sensitization pertained to childhood abuse. Experiencing a personal loss in the past year increased the probability of a first-onset manic episode to a greater degree among adults who were physically abused or neglected as children than among adults without a history of childhood abuse (differential effect=2.2%).</p><p id="P19">Estimates of differential effects involving sexual maltreatment were less than 0. This result is easily understood given large differences in the risk of mania in the Low Stress category following sexual maltreatment: the probability of a manic episode during the 3-year follow-up period among adults sexually maltreated as children was 4.1%, as compared to only 1.0% among adults not sexually maltreated. Sexual maltreatment was a strong risk factor for mania, and stressors in adulthood did not add further risk; in contrast, in the absence of sexual maltreatment, past-year stressors were associated significant increases in the risk of manic episodes.</p></sec><sec id="S8"><title>Recurrent mania</title><p id="P20">Childhood adversities and past-year stressors were also strong predictors of recurrent manic episodes during the follow-up period among the 1,219 individuals who entered the study with a history of mania (<xref rid="T4" ref-type="table">Table 4</xref>). Compared to individuals in the low-stress group, participants experiencing a recent personal loss, financial or interpersonal problem, or economic difficulties were significantly more likely to have a recurrent manic episode (OR’s=2.23, 2.47, and 2.90, respectively). Independent of these increased risks, abuse and maltreatment during childhood were also associated with recurrent episodes (OR’s=1.55 and 1.60, respectively).</p><p id="P21">There was no support for sensitization effects in recurrent mania, as indicated by the interaction terms between past year stressors and childhood adversities (p=0.347 for economic deprivation; p=0.907 for childhood abuse; and p=0.316 for sexual maltreatment), and by non-significant interactions between adult stressors and the number of prior manic episodes in logistic regression models for recurrent mania (evaluated either using a categorical variable for the number of manic episodes [1, 2–3, or ≥4], p=0.243; or a dichotomous indicator of 1 vs. ≥2 prior episodes, p=0.932).</p><p id="P22">Finally, we conducted analyses to examine whether, in the context of bipolar illness, stressors also predict an increased risk of depressive episodes, and are thus associated with recurrences of any polarity. These analyses were conducted in the same sample used in the analyses of recurrent mania (the n=1,219 participants with a lifetime diagnosis of bipolar disorder upon their enrollment into the NESARC). As shown in <xref rid="SD1" ref-type="supplementary-material">Supplemental Table 3</xref>, the financial/interpersonal instability and economic difficulty categories of past-year stressors were associated with depressive episodes during the follow-up period; sexual maltreatment during childhood was also associated with depressive episodes during the follow-up period, though its association was attenuated after controlling for recent stressors.</p></sec></sec><sec sec-type="discussion" id="S9"><title>DISCUSSION</title><p id="P23">We sought to determine whether experiences in the social environment are associated with risk of first-onset and recurrent mania, and whether such experiences interact over the life course to further increase risk of manic episodes. In a large, representative sample of adults in the United States, stressors characterized as personal losses, financial and interpersonal problems, and economic difficulties, were associated with 1.5 to 3-fold increases in the risk of both first-onset and recurrent manic episodes during a 3-year follow-up period. Moreover, a history of childhood abuse and sexual maltreatment were associated with the risk of both first-onset and recurrent manic episodes independent of adulthood stressors.</p><p id="P24">This study advances our understanding of the social determinants of bipolar disorder because of several methodological improvements over previous studies. It overcomes the limitation of prior studies that were cross-sectional, and therefore could not determine whether differences in the prevalence of stressors between individuals with and without bipolar disorder were due to the role of stressors in precipitating manic episodes, or due to the disabling social consequences of bipolar disorder. It improves upon studies that relied on samples selected for seeking treatment, as treatment seeking itself may be associated with many of the social determinants we studied.<sup><xref rid="R47" ref-type="bibr">47</xref></sup></p><sec id="S10"><title>Limitations</title><p id="P25">Our results should be interpreted in the context of the following limitations. First, childhood adversities were assessed retrospectively at the time of the 3-year follow-up interview. Though the NESARC’s assessment of childhood adversities was shown to be highly reliable,<sup><xref rid="R40" ref-type="bibr">40</xref></sup> we cannot rule out the possibility that such reports were distorted by current psychopathology. A previous reappraisal of retrospective reports suggested that current psychopathology does not reduce the reliability or validity of recalled childhood adversities.<sup><xref rid="R48" ref-type="bibr">48</xref></sup> However, biased reporting of childhood adversities cannot be ruled out.<sup><xref rid="R49" ref-type="bibr">49</xref></sup> Second, past-year stressful life events were ascertained by a checklist, the limitations of which include the lack of information on the frequency and severity of stressors, and personal significance attached to each stressor.<sup><xref rid="R50" ref-type="bibr">50</xref>,<xref rid="R51" ref-type="bibr">51</xref></sup> The checklist also did not allow us to make distinctions between events previously shown to be relevant in bipolar disorders, such as events that impact goal-attainment, or events that disrupt sleep/wake rhythms.<sup><xref rid="R21" ref-type="bibr">21</xref>,<xref rid="R52" ref-type="bibr">52</xref></sup> Our use of an empirically derived taxonomy, using latent class analysis, does not overcome this limitation, but it does advance our understanding of the mental health impact of experiencing multiple types of stressors over the past year. The clustering of stressors within an individual may be as relevant for psychopathology as the severity of any individual stressor.<sup><xref rid="R53" ref-type="bibr">53</xref>,<xref rid="R54" ref-type="bibr">54</xref></sup> This same taxonomy was shown to predict anxiety and substance use disorders.<sup><xref rid="R41" ref-type="bibr">41</xref></sup> Third, the NESARC did not assess family history of bipolar disorder. Offspring of parents with bipolar disorder are at elevated risk for bipolar disorders,<sup><xref rid="R55" ref-type="bibr">55</xref></sup> and may be more likely to experience childhood and adult adversities.<sup><xref rid="R56" ref-type="bibr">56</xref></sup> Thus, our results could be due in part to pathway of intergenerational transmission (of both bipolar disorder and social adversity), rather than independent social causation. Finally, while we excluded participants with a history of bipolar disorder from all analyses of incidence, and conducted sensitivity analyses excluding participants with a history of hypomania, we cannot exclude the possibility that subthreshold symptoms of mania existing prior to enrollment into the NESARC study contributed to the development of the adult stressors analyzed, consistent with a stress generation model.<sup><xref rid="R57" ref-type="bibr">57</xref></sup></p></sec><sec id="S11"><title>Social determinants of first-onset and recurrent mania</title><p id="P26">Our study highlights the potential role of social experiences in the etiology of bipolar disorder, as has been suggested by results of smaller studies.<sup><xref rid="R58" ref-type="bibr">58</xref></sup> Consistent with our findings, the social experiences that are relevant for predicting bipolar illness include both childhood adversities<sup><xref rid="R59" ref-type="bibr">59</xref>,<xref rid="R60" ref-type="bibr">60</xref></sup> as well as stressful life events in adulthood.<sup><xref rid="R61" ref-type="bibr">61</xref>,<xref rid="R62" ref-type="bibr">62</xref></sup> These findings add to our understanding of the non-genetic component of the etiology of bipolar disorder, which according to family studies, accounts for approximately 20% of population variance.<sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R63" ref-type="bibr">63</xref></sup></p><p id="P27">For the most part, prior studies have investigated the role of social experiences in first-onset bipolar disorder separately from their role in the course of bipolar disorder.<sup><xref rid="R52" ref-type="bibr">52</xref>,<xref rid="R64" ref-type="bibr">64</xref>–<xref rid="R67" ref-type="bibr">67</xref></sup> In terms of independent associations of childhood and adult stressors with manic episodes, we observed no meaningful differences in the predictors of incident vs. recurrent mania. We interpret this finding to suggest that social context over the life course is associated with heightened vulnerability to mania, and that this vulnerability is not attenuated after remission of an individual’s first manic episode. The associations of adversities with incident and recurrent mania are both potentially relevant in terms of public health and clinical practice. To the extent that childhood adversities or adult stressors may be targeted for intervention, or may be used to identify a group at elevated risk for bipolar disorder, the associations involving incident manic episodes as well as depressive episodes occurring in the context of bipolar disorder are significant.<sup><xref rid="R68" ref-type="bibr">68</xref></sup> Further work remains to determine how information on psychosocial stressors can be incorporated into clinical practice in order to mitigate the elevated recurrence risk associated with such stressors.<sup><xref rid="R69" ref-type="bibr">69</xref>,<xref rid="R70" ref-type="bibr">70</xref></sup></p><p id="P28">These same clinical implications regarding the importance of stressors in the onset and recurrent bipolar disorder also extend to other types of psychopathology. Childhood and past-year stressors predicted recurrences of anxiety and substance use disorders in the general NESARC sample.<sup><xref rid="R41" ref-type="bibr">41</xref></sup> More broadly, a recent review of life stressors and mental illness suggests substantially more evidence for generalized effects of stressors on multiple psychiatric conditions rather that unique associations between stressors and specific diagnoses.<sup><xref rid="R71" ref-type="bibr">71</xref></sup></p></sec><sec id="S12"><title>Sensitization</title><p id="P29">Sensitization refers to processes wherein the tendency of stressors to precipitate a manic episode depends on past exposure to stressors or on past history of manic episodes. Results from our analyses indicate support for sensitization effects in first onset mania, but that these effects were contingent on the type of childhood adversity. Adulthood stressors were more likely to precipitate first-onset mania among individuals with a history of childhood physical abuse or neglect. Sexual maltreatment, in contrast, was such a powerful predictor of bipolar disorder that stressful life events in adulthood did not further increase the risk of mania among adults who experienced this type of adversity.<sup><xref rid="R17" ref-type="bibr">17</xref>,<xref rid="R45" ref-type="bibr">45</xref></sup> We found no support for sensitization effects in recurrent mania, despite theoretical arguments that such effects exist.<sup><xref rid="R26" ref-type="bibr">26</xref>,<xref rid="R27" ref-type="bibr">27</xref>,<xref rid="R66" ref-type="bibr">66</xref>,<xref rid="R72" ref-type="bibr">72</xref>,<xref rid="R73" ref-type="bibr">73</xref></sup> However, identifying sensitization typically requires larger samples because such effects imply statistical interactions; even the NESARC might have been underpowered in this regard.</p><p id="P30">Further research is needed to clarify the mechanisms by which early adversity may have a sensitizing effect on liability to mood disorder. In an example of how such a sensitizing effect could operate, Klengel et al. recently reported that exposure to early adversity is associated with enhanced expression of FKBP5 in ways that set the stage for hypothalamic-pituitary axis dysregulation following stressful life events experienced in adulthood.<sup><xref rid="R74" ref-type="bibr">74</xref></sup> In this case, the sensitizing effect of early life adversity appears to be mediated by epigenetic programming that increases the risk for later stress-related disorders in response to a “second hit” of adult stressful life events. Whether such epigenetic effects contribute to the sensitizing effect of adversity on risk of mania remains to be determined.</p></sec><sec id="S13" sec-type="conclusions"><title>Conclusions</title><p id="P31">Our findings provide evidence that adversities experienced during childhood, particularly physical and sexual abuse, and life events experienced in adulthood are associated with a significantly elevated risk of incident and recurrent mania. This evidence is consistent with emerging theoretical models of bipolar disorder that implicate stress-related pathways in the etiology of mania, and propose that these pathways have developmental origins.<sup><xref rid="R27" ref-type="bibr">27</xref></sup> Results of this study pinpoint specific aspects of the social environment that are associated with the vulnerability to bipolar illness, and should be studied further alongside emerging evidence on genetic variants associated with bipolar disorder<sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R59" ref-type="bibr">59</xref>,<xref rid="R75" ref-type="bibr">75</xref></sup> in order to generate more comprehensive models of bipolar etiology.</p></sec></sec><sec sec-type="supplementary-material" id="S14"><title>Supplementary Material</title><supplementary-material content-type="local-data" id="SD1"><label>1</label><media xlink:href="NIHMS574518-supplement-1.docx" orientation="portrait" xlink:type="simple" id="d37e575" position="anchor"></media></supplementary-material></sec></body><back><ack id="S15"><p>We sincerely appreciate the contributions of Ms. Kathleen McGaffigan to data management and statistical programming.</p><p><bold>SOURCES OF SUPPORT</bold></p><p>This work was supported in part by National Institutes of Health grants RO1MH087544 (Gilman) and K24MH094614 (Smoller).</p></ack><fn-group><fn id="FN2" fn-type="conflict"><p>CONFLICTS OF INTEREST</p><p>None.</p></fn><fn id="FN3" fn-type="supplementary-material"><p><xref rid="SD1" ref-type="supplementary-material">SUPPLEMENTARY INFORMATION</xref></p><p><xref rid="SD1" ref-type="supplementary-material">Supplementary information</xref> is available at <italic>Molecular Psychiatry</italic>’s website.</p></fn></fn-group><ref-list><ref id="R1"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Barnett</surname><given-names>JH</given-names></name><name><surname>Smoller</surname><given-names>JW</given-names></name></person-group><article-title>The genetics of bipolar disorder</article-title><source>Neuroscience</source><year>2009</year><volume>164</volume><issue>1</issue><fpage>331</fpage><lpage>343</lpage><pub-id pub-id-type="pmid">19358880</pub-id></element-citation></ref><ref id="R2"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Marchand</surname><given-names>WR</given-names></name><name><surname>Wirth</surname><given-names>L</given-names></name><name><surname>Simon</surname><given-names>C</given-names></name></person-group><article-title>Adverse life events and pediatric bipolar disorder in a community mental health setting</article-title><source>Community Ment Health J</source><year>2005</year><volume>41</volume><issue>1</issue><fpage>67</fpage><lpage>75</lpage><pub-id pub-id-type="pmid">15932053</pub-id></element-citation></ref><ref id="R3"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Romero</surname><given-names>S</given-names></name><name><surname>Birmaher</surname><given-names>B</given-names></name><name><surname>Axelson</surname><given-names>D</given-names></name><name><surname>Goldstein</surname><given-names>T</given-names></name><name><surname>Goldstein</surname><given-names>BI</given-names></name><name><surname>Gill</surname><given-names>MK</given-names></name><etal></etal></person-group><article-title>Prevalence and correlates of physical and sexual abuse in children and adolescents with bipolar disorder</article-title><source>J Affect Disord</source><year>2009</year><volume>112</volume><issue>1–3</issue><fpage>144</fpage><lpage>150</lpage><pub-id pub-id-type="pmid">18538857</pub-id></element-citation></ref><ref id="R4"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kennedy</surname><given-names>S</given-names></name><name><surname>Thompson</surname><given-names>R</given-names></name><name><surname>Stancer</surname><given-names>HC</given-names></name><name><surname>Roy</surname><given-names>A</given-names></name><name><surname>Persad</surname><given-names>E</given-names></name></person-group><article-title>Life events precipitating mania</article-title><source>Br J Psychiatry</source><year>1983</year><volume>142</volume><fpage>398</fpage><lpage>403</lpage><pub-id pub-id-type="pmid">6850179</pub-id></element-citation></ref><ref id="R5"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ambelas</surname><given-names>A</given-names></name></person-group><article-title>Life events and mania. 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Conditions (NESARC) re-interviewed at Wave 2 and included in the analysis sample (n=33,375)</p></caption><table frame="below" rules="groups"><thead><tr><th valign="bottom" align="left" rowspan="1" colspan="1"></th><th valign="bottom" align="left" rowspan="1" colspan="1">Percent (N)</th></tr></thead><tbody><tr><td colspan="2" align="left" valign="top" rowspan="1"><underline>Age at enrollment</underline></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">18–29</td><td align="left" valign="top" rowspan="1" colspan="1">21.9 (6,514)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">30–39</td><td align="left" valign="top" rowspan="1" colspan="1">20.1 (7,022)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">40–49</td><td align="left" valign="top" rowspan="1" colspan="1">20.9 (6,910)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">50–59</td><td align="left" valign="top" rowspan="1" colspan="1">15.7 (5,269)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">60+</td><td align="left" valign="top" rowspan="1" colspan="1">21.5 (7,660)</td></tr><tr><td colspan="2" align="left" valign="top" rowspan="1"><underline>Sex</underline></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Male</td><td align="left" valign="top" rowspan="1" colspan="1">48.0 (14,039)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Female</td><td align="left" valign="top" rowspan="1" colspan="1">52.1 (19,336)</td></tr><tr><td colspan="2" align="left" valign="top" rowspan="1"><underline>Race/ethnicity</underline></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">White</td><td align="left" valign="top" rowspan="1" colspan="1">71.1 (19,484)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Black</td><td align="left" valign="top" rowspan="1" colspan="1">11.0 (6,303)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Hispanic</td><td align="left" valign="top" rowspan="1" colspan="1">11.5 (6,129)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Other</td><td align="left" valign="top" rowspan="1" colspan="1">6.4 (1,459)</td></tr><tr><td colspan="2" align="left" valign="top" rowspan="1"><underline>Educational attainment at enrollment</underline></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Less than high school</td><td align="left" valign="top" rowspan="1" colspan="1">14.4 (5,422)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">High school or GED</td><td align="left" valign="top" rowspan="1" colspan="1">29.0 (9,573)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Some college or more</td><td align="left" valign="top" rowspan="1" colspan="1">56.7 (18,380)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><underline>History of mania at enrollment</underline></td><td align="left" valign="top" rowspan="1" colspan="1">3.5 (1,219)</td></tr><tr><td colspan="2" align="left" valign="top" rowspan="1"><underline>Mania during the 3-year follow-up period</underline></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">First onset of mania</td><td align="left" valign="top" rowspan="1" colspan="1">1.9 (631)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Recurrent manic episode among participants with a history of mania at enrollment</td><td align="left" valign="top" rowspan="1" colspan="1">14.4 (180)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><underline>Lifetime alcohol or substance dependence at enrollment</underline></td><td align="left" valign="top" rowspan="1" colspan="1">13.2 (4,097)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><underline>Lifetime major depressive disorder at enrollment</underline></td><td align="left" valign="top" rowspan="1" colspan="1">18.2 (6,338)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><underline>Past-year stressors at enrollment based on Axis IV of DSM-IV</underline></td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Social support group problems</td><td align="left" valign="top" rowspan="1" colspan="1">50.7 (17,282)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Social environment problems</td><td align="left" valign="top" rowspan="1" colspan="1">5.6 (1,909)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Occupational problems</td><td align="left" valign="top" rowspan="1" colspan="1">33.2 (11,172)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Economic problems</td><td align="left" valign="top" rowspan="1" colspan="1">30.4 (11,332)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Lack of health insurance</td><td align="left" valign="top" rowspan="1" colspan="1">17.9 (5,987)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Legal problems</td><td align="left" valign="top" rowspan="1" colspan="1">10.4 (3,563)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><underline>Empirically-based taxonomy of past-year psychosocial stressors at enrollment</underline></td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">1. Low stress</td><td align="left" valign="top" rowspan="1" colspan="1">48.9 (15,936)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">2. Personal loss</td><td align="left" valign="top" rowspan="1" colspan="1">30.1 (9,576)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">3. Financial, interpersonal instability</td><td align="left" valign="top" rowspan="1" colspan="1">8.0 (2,892)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">4. Economic difficulty</td><td align="left" valign="top" rowspan="1" colspan="1">7.0 (3,056)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">5. Occupational instability</td><td align="left" valign="top" rowspan="1" colspan="1">6.0 (1,915)</td></tr><tr><td colspan="2" align="left" valign="top" rowspan="1"><underline>Childhood adversities</underline></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Childhood abuse</td><td align="left" valign="top" rowspan="1" colspan="1">9.8 (3,531)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Sexual maltreatment</td><td align="left" valign="top" rowspan="1" colspan="1">7.2 (2,663)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Economic disadvantage</td><td align="left" valign="top" rowspan="1" colspan="1">13.1 (4,976)</td></tr></tbody></table></table-wrap><table-wrap id="T2" position="float" orientation="portrait"><label>Table 2</label><caption><p>Associations between past-year stressors and childhood adversities and the first onset of mania during the 3-year follow-up period of the National Epidemiologic Survey on Alcohol and Related Conditions.<xref rid="TFN1" ref-type="table-fn">1</xref></p></caption><table frame="below" rules="groups"><thead><tr><th valign="bottom" align="left" rowspan="1" colspan="1"></th><th valign="bottom" align="left" rowspan="1" colspan="1">Model 1<xref rid="TFN2" ref-type="table-fn">2</xref><break></break>OR (CI)</th><th valign="bottom" align="left" rowspan="1" colspan="1">Model 2<xref rid="TFN3" ref-type="table-fn">3</xref><break></break>OR (CI)</th><th valign="bottom" align="left" rowspan="1" colspan="1">Model 3<xref rid="TFN3" ref-type="table-fn">3</xref><break></break>OR (CI)</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1"><underline>Past-year stressors at enrollment according to Axis IV of DSM-IV</underline></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Social support group problems</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">1.32 (1.06, 1.65)</td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Social environment problems</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">1.27 (0.90, 1.79)</td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Occupational problems</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">1.29 (1.04, 1.62)</td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Economic problems</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">1.48 (1.14, 1.91)</td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Lack of health insurance</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">1.07 (0.82, 1.40)</td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Legal problems</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">1.36 (1.01, 1.83)</td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><underline>Empirically-based taxonomy of past-year psychosocial stressors at enrollment</underline></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">1. Low stress</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">2. Personal loss</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">1.41 (1.02, 1.94)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">3. Financial, interpersonal instability</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">2.62 (1.95, 3.52)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">4. Economic difficulty</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">1.93 (1.36, 2.73)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">5. Occupational instability</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">1.55 (1.00, 2.41)</td></tr><tr><td colspan="4" align="left" valign="top" rowspan="1"><underline>Childhood adversities</underline></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Childhood abuse</td><td align="left" valign="top" rowspan="1" colspan="1">2.74 (2.08, 3.61)</td><td align="left" valign="top" rowspan="1" colspan="1">2.22 (1.70, 2.89)</td><td align="left" valign="top" rowspan="1" colspan="1">2.23 (1.71, 2.91)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Sexual maltreatment</td><td align="left" valign="top" rowspan="1" colspan="1">2.68 (1.98, 3.63)</td><td align="left" valign="top" rowspan="1" colspan="1">2.08 (1.55, 2.79)</td><td align="left" valign="top" rowspan="1" colspan="1">2.10 (1.55, 2.83)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Economic disadvantage</td><td align="left" valign="top" rowspan="1" colspan="1">1.51 (1.18, 1.92)</td><td align="left" valign="top" rowspan="1" colspan="1">1.27 (0.99, 1.62)</td><td align="left" valign="top" rowspan="1" colspan="1">1.27 (0.99, 1.62)</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>1</label><p>Results from logistic regression models of incident mania fitted in the sample of NESARC participants without any history of mania upon enrollment (n=32,156). Odds ratios and corresponding 95% confidence intervals indicate the association of past-year stressors and childhood adversities with the risk of a first-onset manic episode.</p></fn><fn id="TFN2"><label>2</label><p>Model 1 controls for participant sex, age at interview and race/ethnicity.</p></fn><fn id="TFN3"><label>3</label><p>Models 2 and 3 also control for educational attainment, lifetime history of alcohol or substance dependence, and major depressive disorder.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T3" position="float" orientation="landscape"><label>Table 3</label><caption><p>Sensitizing effects of childhood stressors following the exposure to past-year stressors in the risk of first-onset mania.<xref rid="TFN5" ref-type="table-fn">1</xref></p></caption><table frame="hsides" rules="groups"><thead><tr><th valign="bottom" rowspan="2" align="left" colspan="1"></th><th colspan="3" valign="bottom" align="center" rowspan="1"><underline>Childhood abuse</underline></th><th colspan="3" valign="bottom" align="center" rowspan="1"><underline>Sexual maltreatment</underline></th><th colspan="3" valign="bottom" align="center" rowspan="1"><underline>Economic disadvantage</underline></th></tr><tr><th valign="bottom" align="left" rowspan="1" colspan="1"><underline>No</underline><break></break>Risk<break></break>difference<break></break>(SE)</th><th valign="bottom" align="left" rowspan="1" colspan="1"><underline>Yes</underline><break></break>Risk<break></break>difference<break></break>(SE)</th><th valign="bottom" align="left" rowspan="1" colspan="1">Differential<break></break>effect (SE)</th><th valign="bottom" align="left" rowspan="1" colspan="1"><underline>No</underline><break></break>Risk<break></break>difference<break></break>(SE)</th><th valign="bottom" align="left" rowspan="1" colspan="1"><underline>Yes</underline><break></break>Risk<break></break>difference<break></break>(SE)</th><th valign="bottom" align="left" rowspan="1" colspan="1">Differential<break></break>effect (SE)</th><th valign="bottom" align="left" rowspan="1" colspan="1"><underline>No</underline><break></break>Risk<break></break>difference<break></break>(SE)</th><th valign="bottom" align="left" rowspan="1" colspan="1"><underline>Yes</underline><break></break>Risk<break></break>difference<break></break>(SE)</th><th valign="bottom" align="left" rowspan="1" colspan="1">Differential<break></break>effect (SE)</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">1. Low stress</td><td align="left" valign="top" rowspan="1" colspan="1">Reference</td><td align="left" valign="top" rowspan="1" colspan="1">Reference</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">Reference</td><td align="left" valign="top" rowspan="1" colspan="1">Reference</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">Reference</td><td align="left" valign="top" rowspan="1" colspan="1">Reference</td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">2. Personal loss</td><td align="left" valign="top" rowspan="1" colspan="1">0.2% (0.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">2.4% (0.9%)<xref rid="TFN4" ref-type="table-fn">*</xref></td><td align="left" valign="top" rowspan="1" colspan="1">2.2% (0.8%)<xref rid="TFN4" ref-type="table-fn">*</xref></td><td align="left" valign="top" rowspan="1" colspan="1">0.7% (0.3%)<xref rid="TFN4" ref-type="table-fn">*</xref></td><td align="left" valign="top" rowspan="1" colspan="1">−1.5% (1.0%)</td><td align="left" valign="top" rowspan="1" colspan="1">−2.2% (1.0%)<xref rid="TFN4" ref-type="table-fn">*</xref></td><td align="left" valign="top" rowspan="1" colspan="1">0.5% (0.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.7% (0.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.2% (0.7%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">3. Financial, interpersonal instability</td><td align="left" valign="top" rowspan="1" colspan="1">1.7% (0.4%)<xref rid="TFN4" ref-type="table-fn">*</xref></td><td align="left" valign="top" rowspan="1" colspan="1">3.7% (1.1%)<xref rid="TFN4" ref-type="table-fn">*</xref></td><td align="left" valign="top" rowspan="1" colspan="1">2.0% (1.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">2.3% (0.4%)<xref rid="TFN4" ref-type="table-fn">*</xref></td><td align="left" valign="top" rowspan="1" colspan="1">0.6% (0.5%)</td><td align="left" valign="top" rowspan="1" colspan="1">−1.7% (1.2%)</td><td align="left" valign="top" rowspan="1" colspan="1">2.6% (0.4%)<xref rid="TFN4" ref-type="table-fn">*</xref></td><td align="left" valign="top" rowspan="1" colspan="1">0.5% (0.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">−2.0% (0.7%)<xref rid="TFN4" ref-type="table-fn">*</xref></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">4. Economic difficulty</td><td align="left" valign="top" rowspan="1" colspan="1">1.1% (0.4%)<xref rid="TFN4" ref-type="table-fn">*</xref></td><td align="left" valign="top" rowspan="1" colspan="1">1.7% (0.9%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.6% (0.9%)</td><td align="left" valign="top" rowspan="1" colspan="1">1.2% (0.4%)<xref rid="TFN4" ref-type="table-fn">*</xref></td><td align="left" valign="top" rowspan="1" colspan="1">0.2% (1.3%)</td><td align="left" valign="top" rowspan="1" colspan="1">−1.0% (1.4%)</td><td align="left" valign="top" rowspan="1" colspan="1">1.1% (0.4%)<xref rid="TFN4" ref-type="table-fn">*</xref></td><td align="left" valign="top" rowspan="1" colspan="1">1.0% (0.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">−0.1% (0.9%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">5. Occupational instability</td><td align="left" valign="top" rowspan="1" colspan="1">1.0% (0.4%)<xref rid="TFN4" ref-type="table-fn">*</xref></td><td align="left" valign="top" rowspan="1" colspan="1">−0.7% (0.8%)</td><td align="left" valign="top" rowspan="1" colspan="1">−1.7% (0.9%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.6% (3.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.7% (2.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.1% (2.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">1.0% (0.5%)<xref rid="TFN4" ref-type="table-fn">*</xref></td><td align="left" valign="top" rowspan="1" colspan="1">−0.4% (0.7%)</td><td align="left" valign="top" rowspan="1" colspan="1">−1.4% (0.9%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">χ<sup>2</sup>, df=4 (P)<xref rid="TFN6" ref-type="table-fn">2</xref></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">12.9 (0.012)</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">13.7 (0.009)</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">13.7 (0.009)</td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr></tbody></table><table-wrap-foot><fn id="TFN4"><label>*</label><p>P<0.05</p></fn><fn id="TFN5"><label>1</label><p>Percentages in the “No” and “Yes” columns are risk differences: they indicate the difference in the risk of a first-onset manic episode between participants in the Personal Loss through Occupational Instability categories (categories 2 through 5) of past-year life events exposure relative to participants in the Low Stress category. The “Differential effect” estimate indicates whether the Risk Difference associated with recent stressors varies between individuals with and without each childhood stressor. Estimates generated from logistic regression analyses of incident mania also adjusting for demographic factors (age, sex, educational attainment, race/ethnicity) and a lifetime history of alcohol or substance dependence upon enrollment.</p></fn><fn id="TFN6"><label>2</label><p>Chi-square test statistics (with 4 degrees of freedom) and P-Values correspond to the null hypothesis of no interaction between childhood stressors and adult life events.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T4" position="float" orientation="portrait"><label>Table 4</label><caption><p>Associations between past-year stressors and childhood adversities and the recurrence of mania during the 3-year follow-up period of the National Epidemiologic Survey on Alcohol and Related Conditions.<xref rid="TFN7" ref-type="table-fn">1</xref></p></caption><table frame="below" rules="groups"><thead><tr><th valign="bottom" align="left" rowspan="1" colspan="1"></th><th valign="bottom" align="left" rowspan="1" colspan="1">Model 1<xref rid="TFN8" ref-type="table-fn">2</xref><break></break>OR (CI)</th><th valign="bottom" align="left" rowspan="1" colspan="1">Model 2<xref rid="TFN9" ref-type="table-fn">3</xref><break></break>OR (CI)</th><th valign="bottom" align="left" rowspan="1" colspan="1">Model 3<xref rid="TFN9" ref-type="table-fn">3</xref><break></break>OR (CI)</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1"><underline>Past-year stressors at enrollment according to Axis IV of DSM-IV</underline></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Social support group problems</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">1.31 (0.85, 2.02)</td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Social environment problems</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">1.54 (0.97, 2.45)</td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Occupational problems</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">1.62 (0.99, 2.64)</td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Economic problems</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">0.85 (0.55, 1.32)</td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Lack of health insurance</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">1.33 (0.82, 2.15)</td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Legal problems</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">1.04 (0.63, 1.72)</td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><underline>Empirically-based taxonomy of past-year psychosocial stressors at enrollment</underline></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">1. Low stress</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">2. Personal loss</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">2.23 (1.06, 4.72)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">3. Financial, interpersonal instability</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">2.47 (1.27, 4.81)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">4. Economic difficulty</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">2.90 (1.22, 6.89)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">5. Occupational instability</td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="left" valign="top" rowspan="1" colspan="1">1.54 (0.52, 4.57)</td></tr><tr><td colspan="4" align="left" valign="top" rowspan="1"><underline>Childhood adversities</underline></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Childhood abuse</td><td align="left" valign="top" rowspan="1" colspan="1">1.54 (0.99, 2.38)</td><td align="left" valign="top" rowspan="1" colspan="1">1.49 (0.96, 2.30)</td><td align="left" valign="top" rowspan="1" colspan="1">1.55 (1.00, 2.40)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Sexual maltreatment</td><td align="left" valign="top" rowspan="1" colspan="1">1.84 (1.14, 2.96)</td><td align="left" valign="top" rowspan="1" colspan="1">1.67 (1.06, 2.64)</td><td align="left" valign="top" rowspan="1" colspan="1">1.60 (1.00, 2.55)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Economic disadvantage</td><td align="left" valign="top" rowspan="1" colspan="1">1.44 (0.92, 2.25)</td><td align="left" valign="top" rowspan="1" colspan="1">1.33 (0.85, 2.06)</td><td align="left" valign="top" rowspan="1" colspan="1">1.31 (0.83, 2.07)</td></tr></tbody></table><table-wrap-foot><fn id="TFN7"><label>1</label><p>Results from logistic regression models of recurrent mania fitted in the sample of NESARC participants with a lifetime history of mania upon enrollment (n=1,219). Odds ratios and corresponding 95% confidence intervals indicate the association of past-year stressors and childhood adversities with the risk of a recurrent manic episode during the follow-up period.</p></fn><fn id="TFN8"><label>2</label><p>Model 1 controls for participant sex, age at interview and race/ethnicity.</p></fn><fn id="TFN9"><label>3</label><p>Models 2 and 3 also control for educational attainment, lifetime history of alcohol or substance dependence, and major depressive disorder.</p></fn></table-wrap-foot></table-wrap></floats-group></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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