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Dive into the research topics where Evelyn J. Bromet is active.

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Featured researches published by Evelyn J. Bromet.


PubMed | 2009

Cross-national associations between gender and mental disorders in the World Health Organization World Mental Health Surveys.

Soraya Seedat; Kate M. Scott; Matthias C. Angermeyer; Patricia Berglund; Evelyn J. Bromet; Traolach S. Brugha; Koen Demyttenaere; de Girolamo G; J. M. Haro; Robert Jin; Elie G. Karam; Kovess-Masfety; Daphna Levinson; Medina Mora Me; Yutaka Ono; Johan Ormel; Beth Ellen Pennell; J. Posada-Villa; Nancy A. Sampson; David M. Williams; Ronald C. Kessler

CONTEXTnGender differences in mental disorders, including more anxiety and mood disorders among women and more externalizing disorders among men, are found consistently in epidemiological surveys. The gender roles hypothesis suggests that these differences narrow as the roles of women and men become more equal.nnnOBJECTIVESnTo study time-space (cohort-country) variation in gender differences in lifetime DSM-IV mental disorders across cohorts in 15 countries in the World Health Organization World Mental Health Survey Initiative and to determine if this variation is significantly related to time-space variation in female gender role traditionality as measured by aggregate patterns of female education, employment, marital timing, and use of birth control.nnnDESIGNnFace-to-face household surveys.nnnSETTINGnAfrica, the Americas, Asia, Europe, the Middle East, and the Pacific.nnnPARTICIPANTSnCommunity-dwelling adults (N = 72,933).nnnMAIN OUTCOME MEASURESnThe World Health Organization Composite International Diagnostic Interview assessed lifetime prevalence and age at onset of 18 DSM-IV anxiety, mood, externalizing, and substance disorders. Survival analyses estimated time-space variation in female to male odds ratios of these disorders across cohorts defined by the following age ranges: 18 to 34, 35 to 49, 50 to 64, and 65 years and older. Structural equation analysis examined predictive effects of variation in gender role traditionality on these odds ratios.nnnRESULTSnIn all cohorts and countries, women had more anxiety and mood disorders than men, and men had more externalizing and substance disorders than women. Although gender differences were generally consistent across cohorts, significant narrowing was found in recent cohorts for major depressive disorder and substance disorders. This narrowing was significantly related to temporal (major depressive disorder) and spatial (substance disorders) variation in gender role traditionality.nnnCONCLUSIONSnWhile gender differences in most lifetime mental disorders were fairly stable over the time-space units studied, substantial intercohort narrowing of differences in major depression was found to be related to changes in the traditionality of female gender roles. Additional research is needed to understand why this temporal narrowing was confined to major depression.


Molecular Psychiatry | 2011

Parental Psychopathology and the Risk of Suicidal Behavior in their Offspring: Results from the World Mental Health Surveys

Oye Gureje; Bibilola D. Oladeji; Irving Hwang; W. T. Chiu; Ronald C. Kessler; Nancy A. Sampson; J. Alonso; Laura Helena Andrade; Annette L. Beautrais; Guilherme Borges; Evelyn J. Bromet; Ronny Bruffaerts; G. de Girolamo; R. de Graaf; Gilad Gal; Yulei He; Chiyi Hu; Noboru Iwata; Elie G. Karam; V. Kovess-Masfety; Herbert Matschinger; M. V. Moldovan; J. Posada-Villa; Rajesh Sagar; Paolo Scocco; Soraya Seedat; Toma Tomov; Matthew K. Nock

Previous research suggests that parental psychopathology predicts suicidal behavior among offspring; however, the more fine-grained associations between specific parental disorders and distinct stages of the pathway to suicide are not well understood. We set out to test the hypothesis that parental disorders associated with negative mood would predict offspring suicide ideation, whereas disorders characterized by impulsive aggression (for example, antisocial personality) and anxiety/agitation (for example, panic disorder) would predict which offspring act on their suicide ideation and make a suicide attempt. Data were collected during face-to-face interviews conducted on nationally representative samples (N=55u2009299; age 18+) from 21 countries around the world. We tested the associations between a range of parental disorders and the onset and persistence over time (that is, time since most recent episode controlling for age of onset and time since onset) of subsequent suicidal behavior (suicide ideation, plans and attempts) among offspring. Analyses tested bivariate and multivariate associations between each parental disorder and distinct forms of suicidal behavior. Results revealed that each parental disorder examined increased the risk of suicide ideation among offspring, parental generalized anxiety and depression emerged as the only predictors of the onset and persistence (respectively) of suicide plans among offspring with ideation, whereas parental antisocial personality and anxiety disorders emerged as the only predictors of the onset and persistence of suicide attempts among ideators. A dose-response relation between parental disorders and respondent risk of suicide ideation and attempt was also found. Parental death by suicide was a particularly strong predictor of persistence of suicide attempts among offspring. These associations remained significant after controlling for comorbidity of parental disorders and for the presence of mental disorders among offspring. These findings should inform future explorations of the mechanisms of intergenerational transmission of suicidal behavior.


Psychological Medicine | 2017

Posttraumatic stress disorder in the World Mental Health Surveys

Karestan C. Koenen; Andrew Ratanatharathorn; Lauren C. Ng; Kelsey McLaughlin; Evelyn J. Bromet; Dan J. Stein; Elie G. Karam; A. Meron Ruscio; Corina Benjet; Kate M. Scott; Lukoye Atwoli; M. Petukhova; Carmen C. W. Lim; Aguilar-Gaxiola. S.; A. Al-Hamzawi; J. Alonso; Brendan Bunting; Marius Ciutan; G. de Girolamo; Louisa Degenhardt; Oye Gureje; J. M. Haro; Yueqin Huang; Norito Kawakami; Sven J. van der Lee; Fernando Navarro-Mateu; Beth Ellen Pennell; Marina Piazza; Nancy A. Sampson; M. ten Have

BACKGROUNDnTraumatic events are common globally; however, comprehensive population-based cross-national data on the epidemiology of posttraumatic stress disorder (PTSD), the paradigmatic trauma-related mental disorder, are lacking.nnnMETHODSnData were analyzed from 26 population surveys in the World Health Organization World Mental Health Surveys. A total of 71 083 respondents ages 18+ participated. The Composite International Diagnostic Interview assessed exposure to traumatic events as well as 30-day, 12-month, and lifetime PTSD. Respondents were also assessed for treatment in the 12 months preceding the survey. Age of onset distributions were examined by country income level. Associations of PTSD were examined with country income, world region, and respondent demographics.nnnRESULTSnThe cross-national lifetime prevalence of PTSD was 3.9% in the total sample and 5.6% among the trauma exposed. Half of respondents with PTSD reported persistent symptoms. Treatment seeking in high-income countries (53.5%) was roughly double that in low-lower middle income (22.8%) and upper-middle income (28.7%) countries. Social disadvantage, including younger age, female sex, being unmarried, being less educated, having lower household income, and being unemployed, was associated with increased risk of lifetime PTSD among the trauma exposed.nnnCONCLUSIONSnPTSD is prevalent cross-nationally, with half of all global cases being persistent. Only half of those with severe PTSD report receiving any treatment and only a minority receive specialty mental health care. Striking disparities in PTSD treatment exist by country income level. Increasing access to effective treatment, especially in low- and middle-income countries, remains critical for reducing the population burden of PTSD.


Molecular Psychiatry | 2017

Predicting suicides after outpatient mental health visits in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

Ronald C. Kessler; Murray B. Stein; M. Petukhova; Paul D. Bliese; Robert M. Bossarte; Evelyn J. Bromet; Carol S. Fullerton; Stephen E. Gilman; Christopher G. Ivany; Lisa Lewandowski-Romps; A Millikan Bell; James A. Naifeh; Matthew K. Nock; Ben Y. Reis; Anthony J. Rosellini; Nancy A. Sampson; Alan M. Zaslavsky; Robert J. Ursano; Steven G. Heeringa; Lisa J. Colpe; Michael Schoenbaum; S Cersovsky; Kenneth L. Cox; Pablo A. Aliaga; David M. Benedek; Susan Borja; Gregory G. Brown; L C Sills; Catherine L. Dempsey; Richard G. Frank

The 2013 US Veterans Administration/Department of Defense Clinical Practice Guidelines (VA/DoD CPG) require comprehensive suicide risk assessments for VA/DoD patients with mental disorders but provide minimal guidance on how to carry out these assessments. Given that clinician-based assessments are not known to be strong predictors of suicide, we investigated whether a precision medicine model using administrative data after outpatient mental health specialty visits could be developed to predict suicides among outpatients. We focused on male nondeployed Regular US Army soldiers because they account for the vast majority of such suicides. Four machine learning classifiers (naive Bayes, random forests, support vector regression and elastic net penalized regression) were explored. Of the Army suicides in 2004–2009, 41.5% occurred among 12.0% of soldiers seen as outpatient by mental health specialists, with risk especially high within 26 weeks of visits. An elastic net classifier with 10–14 predictors optimized sensitivity (45.6% of suicide deaths occurring after the 15% of visits with highest predicted risk). Good model stability was found for a model using 2004–2007 data to predict 2008–2009 suicides, although stability decreased in a model using 2008–2009 data to predict 2010–2012 suicides. The 5% of visits with highest risk included only 0.1% of soldiers (1047.1 suicides/100u2009000 person-years in the 5 weeks after the visit). This is a high enough concentration of risk to have implications for targeting preventive interventions. An even better model might be developed in the future by including the enriched information on clinician-evaluated suicide risk mandated by the VA/DoD CPG to be recorded.


JAMA Psychiatry | 2017

Cross-sectional Comparison of the Epidemiology of DSM-5 Generalized Anxiety Disorder Across the Globe

Ayelet Meron Ruscio; Lauren S. Hallion; Carmen C. W. Lim; Sergio Aguilar-Gaxiola; Ali Al-Hamzawi; Jordi Alonso; Laura Helena Andrade; Guilherme Borges; Evelyn J. Bromet; Brendan Bunting; José Miguel Caldas de Almeida; Koen Demyttenaere; Silvia Florescu; Giovanni de Girolamo; Oye Gureje; Josep Maria Haro; Yanling He; Hristo Hinkov; Chiyi Hu; Peter de Jonge; Elie G. Karam; Sing Lee; Jean Pierre Lepine; Daphna Levinson; Zeina Mneimneh; Fernando Navarro-Mateu; Jose Posada-Villa; Tim Slade; Dan J. Stein; Yolanda Torres

Importance Generalized anxiety disorder (GAD) is poorly understood compared with other anxiety disorders, and debates persist about the seriousness of this disorder. Few data exist on GAD outside a small number of affluent, industrialized nations. No population-based data exist on GAD as it is currently defined in DSM-5. Objective To provide the first epidemiologic data on DSM-5 GAD and explore cross-national differences in its prevalence, course, correlates, and impact. Design, Setting, and Participants Data come from the World Health Organization World Mental Health Survey Initiative. Cross-sectional general population surveys were carried out in 26 countries using a consistent research protocol and assessment instrument. A total of 147u2009261 adults from representative household samples were interviewed face-to-face in the community. The surveys were conducted between 2001 and 2012. Data analysis was performed from July 22, 2015, to December 12, 2016. Main Outcomes and Measures The Composite International Diagnostic Interview was used to assess GAD along with comorbid disorders, role impairment, and help seeking. Results Respondents were 147u2009261 adults aged 18 to 99 years. The surveys had a weighted mean response rate of 69.5%. Across surveys, DSM-5 GAD had a combined lifetime prevalence (SE) of 3.7% (0.1%), 12-month prevalence of 1.8% (0.1%), and 30-day prevalence of 0.8% (0). Prevalence estimates varied widely across countries, with lifetime prevalence highest in high-income countries (5.0% [0.1%]), lower in middle-income countries (2.8% [0.1%]), and lowest in low-income countries (1.6% [0.1%]). Generalized anxiety disorder typically begins in adulthood and persists over time, although onset is later and clinical course is more persistent in lower-income countries. Lifetime comorbidity is high (81.9% [0.7%]), particularly with mood (63.0% [0.9%]) and other anxiety (51.7% [0.9%]) disorders. Severe role impairment is common across life domains (50.6% [1.2%]), particularly in high-income countries. Treatment is sought by approximately half of affected individuals (49.2% [1.2%]), especially those with severe role impairment (59.4% [1.8%]) or comorbid disorders (55.8% [1.4%]) and those living in high-income countries (59.0% [1.3%]). Conclusions and Relevance The findings of this study show that DSM-5 GAD is more prevalent than DSM-IV GAD and is associated with substantial role impairment. The disorder is especially common and impairing in high-income countries despite a negative association between GAD and socioeconomic status within countries. These results underscore the public health significance of GAD across the globe while uncovering cross-national differences in prevalence, course, and impairment that require further investigation.


Psychological Medicine | 2011

Including information about co-morbidity in estimates of disease burden

Jordi Alonso; Gemma Vilagut; Somnath Chatterji; Steven G. Heeringa; Michael Schoenbaum; T. Bedirhan Uestuen; Sonia Rojas-Farreras; Matthias C. Angermeyer; Evelyn J. Bromet; Ronny Bruffaerts; G. de Girolamo; Oye Gureje; J. M. Haro; Aimee N. Karam; V. Kovess; Daphna Levinson; Zharoui Liu; M. E. Medina-Mora; Johan Ormel; Jose Posada-Villa; Hidenori Uda; Ronald C. Kessler; Ustun T. Bedirhan; Girolamo G. de

BACKGROUNDnThe methodology commonly used to estimate disease burden, featuring ratings of severity of individual conditions, has been criticized for ignoring co-morbidity. A methodology that addresses this problem is proposed and illustrated here with data from the World Health Organization World Mental Health Surveys. Although the analysis is based on self-reports about ones own conditions in a community survey, the logic applies equally well to analysis of hypothetical vignettes describing co-morbid condition profiles.nnnMETHODnFace-to-face interviews in 13 countries (six developing, nine developed; n=31 067; response rate=69.6%) assessed 10 classes of chronic physical and nine of mental conditions. A visual analog scale (VAS) was used to assess overall perceived health. Multiple regression analysis with interactions for co-morbidity was used to estimate associations of conditions with VAS. Simulation was used to estimate condition-specific effects.nnnRESULTSnThe best-fitting model included condition main effects and interactions of types by numbers of conditions. Neurological conditions, insomnia and major depression were rated most severe. Adjustment for co-morbidity reduced condition-specific estimates with substantial between-condition variation (0.24-0.70 ratios of condition-specific estimates with and without adjustment for co-morbidity). The societal-level burden rankings were quite different from the individual-level rankings, with the highest societal-level rankings associated with conditions having high prevalence rather than high individual-level severity.nnnCONCLUSIONSnPlausible estimates of disorder-specific effects on VAS can be obtained using methods that adjust for co-morbidity. These adjustments substantially influence condition-specific ratings.


American Journal of Psychiatry | 2015

Pediatric-Onset and Adult-Onset Separation Anxiety Disorder Across Countries in the World Mental Health Survey

Derrick Silove; Jordi Alonso; Evelyn J. Bromet; Mike Gruber; Nancy A. Sampson; Kate M. Scott; Laura Helena Andrade; Corina Benjet; José Miguel Caldas de Almeida; Giovanni de Girolamo; Peter de Jonge; Koen Demyttenaere; Fabian Fiestas; Silvia Florescu; Oye Gureje; Yanling He; Elie G. Karam; Jean Pierre Lepine; Sam Murphy; Jose Villa-Posada; Zahari Zarkov; Ronald C. Kessler


Archive | 2008

Delay and failure in treatment seeking after first onset of mental disorders in the World Mental Health Survey Initiative.

Ws Wang; S. Aguilar-Gaxiola; J. Alonso; Matthias C. Angermeyer; Guilherme Borges; Evelyn J. Bromet; Ronny Bruffaerts; Somnath Chatterji; W. T. Chiu; G. de Girolamo; John Fayyad; Oye Gureje; J. M. Haro; Sq Heeringa; Yueqin Huang; Ronald C. Kessler; Kovess-Masfety; Sven J. van der Lee; Daphna Levinson; Yoshibumi Nakane; Ma Oakley-Browne; Johan Ormel; Beth Ellen Pennell; J. Posada-Villa; T. B. Üstün


Archive | 2008

Recent treatment of mental disorders in the World Mental Health Survey Initiative

Wang Ps; S. Aguilar-Gaxiola; J. Alonso; Matthias C. Angermeyer; Guilherme Borges; Evelyn J. Bromet; Ronny Bruffaerts; Somnath Chatterji; G. de Girolamo; R. de Graaf; Oye Gureje; J. M. Haro; Steven G. Heeringa; Elie G. Karam; Ronald C. Kessler; Kovess-Masfety; Michael Lane; Sven J. van der Lee; Daphna Levinson; Yutaka Ono; Beth Ellen Pennell; M. Petukhova; J. Posada-Villa; K Saunders; Soraya Seedat; Yu-cun Shen; T. B. Üstün; J. E. Wells


British Journal of Psychiatry | 2010

Childhood adversities and adult psychopathology in the World Health Organization World Mental Health Surveys

K.C. Kessler; Katie A. McLaughlin; J. Greif-Green; M. J. Gruber; Nancy A. Sampson; Alan M. Zaslavsky; A. Aguilar-Gaxiola; A. Obaid-Alhamzawi; J. Alonso; Matthias C. Angermeyer; Corina Benjet; Evelyn J. Bromet; Somnath Chatterji; G. de Girolamo; K. Kemyttenaere; John Fayyad; S. Florescu; Gilad Gal; Oye Gureje; J. M. Haro; Chiyi Hu; Elie G. Karam; Norito Kawakami; S. Lee; Jp Lépine; Johan Ormel; J. Posada-Villa; Rajesh Sagar; Adley Tsang; T. B. Üstün

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Oye Gureje

World Health Organization

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Johan Ormel

University of Amsterdam

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