Browsing by Author "Bromet, E."

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Barriers to Mental Health Treatment: Results from the WHO World Mental Health (WMH) Surveys
(2014) Andrade, L. H.; Alonso, J.; Mneimneh, Z.; Wells, J. E.; Al-Hamzawi, A.; Borges, G.; Bromet, E.; Bruffaerts, R.; De Girolamo, G.; De Graaf, R.; Florescu, S.; Gureje, O.; Hinkov, H. R.; Hu, C.; Huang, Y.; Hwang, I.; Jin, R.; Karam, E. G.; Kovess-Masfety, V.; Levinson, D.; Matschinger, H.; O’Neill, S.; Posada-Villa, J.; Sagar, R.; Sampson, N. A.; Section of Psychiatric Epidemiology-LIM 23, Department/Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil; kessler@hcp.med.harvard.edu
Days out of role due to common physical and mental conditions: results from the WHO World Mental Health surveys
(NATURE PUBLISHING GROUP, MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND, 2011) Alonso, J.; Petukhova, M.; Vilagut, G.; Chatterji, S.; Heeringa, S.; Uestuen, T.B.; Alhamzawi, A.O.; Viana, M.C.; Angermeyer, M.; Bromet, E.; Bruffaerts, R.; De Girolamo, G.; Florescu, S.; Gureje, O.; Haro, J.M.; Hinkov, H.; Hu, C-y; Karam, E.G.; Kovess, V.; Levinson, D.; Medina-Mora, M.E.; Nakamura, Y.; Ormel, J.; Posada-Villa, J.; Sagar, R.; Scott, K.M.; Tsang, A.; Williams, D.R.; Kessler, R.C.; IMIM Inst Recerca Hosp del Mar, Hlth Serv Res Unit, Barcelona 08003, Spain; jalonso@imim.es
Days out of role because of health problems are a major source of lost human capital. We examined the relative importance of commonly occurring physical and mental disorders in accounting for days out of role in 24 countries that participated in the World Health Organization (WHO) World Mental Health (WMH) surveys. Face-to-face interviews were carried out with 62 971 respondents (72.0% pooled response rate). Presence of ten chronic physical disorders and nine mental disorders was assessed for each respondent along with information about the number of days in the past month each respondent reported being totally unable to work or carry out their other normal daily activities because of problems with either physical or mental health. Multiple regression analysis was used to estimate associations of specific conditions and comorbidities with days out of role, controlling by basic socio-demographics (age, gender, employment status and country). Overall, 12.8% of respondents had some day totally out of role, with a median of 51.1 a year. The strongest individual-level effects (days out of role per year) were associated with neurological disorders (17.4), bipolar disorder (17.3) and post-traumatic stress disorder (15.2). The strongest population-level effect was associated with pain conditions, which accounted for 21.5% of all days out of role (population attributable risk proportion). The 19 conditions accounted for 62.2% of all days out of role. Common health conditions, including mental disorders, make up a large proportion of the number of days out of role across a wide range of countries and should be addressed to substantially increase overall productivity. Molecular Psychiatry (2011) 16, 1234-1246; doi:10.1038/mp.2010.101; published online 12 October 2010
Days out of role due to common physical and mental conditions: results from the WHO World Mental Health surveys
(2011) Alonso, J.; Petukhova, M.; Vilagut, G.; Chatterji, S.; Heeringa, S.; Ustun, TB; Alhamzawi, A.O.; Viana, M.C.; Angermeyer, M.; Bromet, E.; Bruffaerts, R.; De Girolamo, G.; Florescu, S.; Gureje, O.; Haro, J.M.; Hinkov, H.; Hu, C-y; Karam, E.G.; Kovess, V.; Levinson, D.; Medina-Mora, M.E.; Nakamura, Y.; Ormel, J.; Posada-Villa, J.; Sagar, R.; Scott, K.M.; Tsang, A.; Williams, D.R.; Kessler, R.C.; Health Services Research Unit, IMIM-Institut de Recerca Hospital del Mar, Barcelona, Spain; jalonso@imim.es
Depression-anxiety relationships with chronic physical conditions: results from the World Mental Health Surveys
(2007) Scott, K.M.; Bruffaerts, R.; Tsang, A.; Ormel, J.; Alonso, J.; Angermeyer, M.C.; Benjet, C.; Bromet, E.; De Girolamo, G.; De Graaf, R.; Gasquet, I.; Gureje, O.; Haro, J.M.; He, Y.; Kessler, R.C.; Levinson, D.; Mneimneh, Z.N.; Oakley-Browne, M.A.; Posada-Villa, J.; Stein, D.J.; Takeshima, T.; Von-Korff, M.; Department of Psychological Medicine, Wellington School of Medicine and Health Sciences, PO Box 7343 Wellington South, New Zealand; kate.scott@otago.ac.nz
Gender and the relationship between marital status and first onset of mood, anxiety and substance use disorders
(London : Cambridge University Press, 2010) Scott, K.M.; Wells, J.E.; Angermeyer, M.; Brugha, T.S.; Bromet, E.; Demyttenaere, K.; De Girolamo, G.; Gureje, O.; Haro, J.M.; Jin, R.; Nasser Karam, A.; Kovess, V.; Lara, C.; Levinson, D.; Ormel, J.; Posada-Villa, J.; Sampson, N.; Takeshima, T.; Zhang, M.; Kessler, R.C.; Department of Psychological Medicine, University of Otago, Wellington, New Zealand; kate.scott@otago.ac.nz
Including information about co-morbidity in estimates of disease burden: results from the World Health Organization World Mental Health Surveys
(CAMBRIDGE UNIV PRESS, 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA, 2011) Alonso, J.; Vilagut, G.; Chatterji, S.; Heeringa, S.; Schoenbaum, M.; Uestuen, T. Bedirhan; Rojas-Farreras, S.; Angermeyer, M.; Bromet, E.; Bruffaerts, R.; De Girolamo, G.; Gureje, O.; Haro, J.M.; Karam, A.N.; Kovess, V.; Levinson, D.; Liu, Z.; Medina-Mora, M.E.; Ormel, J.; Posada-Villa, J.; Uda, H.; Kessler, R.C.; Harvard Univ, Sch Med, Dept Hlth Care Policy, Boston, MA 02115 USA; Kessler@hcp.med.harvard.edu
Background. The 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 one's own conditions in a community survey, the logic applies equally well to analysis of hypothetical vignettes describing co-morbid condition profiles. Method. Face-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. Results. The 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. Conclusions. Plausible estimates of disorder-specific effects on VAS can be obtained using methods that adjust for co-morbidity. These adjustments substantially influence condition-specific ratings.
Mental disorders and termination of education in high-income and low- and middle-income countries: epidemiological study
(ROYAL COLLEGE OF PSYCHIATRISTS, BRITISH JOURNAL OF PSYCHIATRY 17 BELGRAVE SQUARE, LONDON SW1X 8PG, ENGLAND, 2009) Lee, S.; Tsang, A.; Breslau, J.; Aguilar-Gaxiola, S.; Angermeyer, M.; Borges, G.; Bromet, E.; Bruffaerts, R.; De Girolamo, G.; Fayyad, J.; Gureje, O.; Haro, J.M.; Kawakami, N.; Levinson, D.; Browne, M.A. Oakley; Ormel, J.; Posada-Villa, J.; Williams, D.R.; Kessler, R.C.; Prince Wales Hosp, Hong Kong Mood Disorders Ctr, 7A,Block E,Staff Quarters, Shatin, Hong Kong, Peoples R China.; singlee@cuhk.edu.hk
Mental-physical co-morbidity and its relationship with disability: results from the World Mental Health Surveys
(CAMBRIDGE UNIV PRESS, 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA, 2009) Scott, K.M.; Von Korff, M.; Alonso, J.; Angermeyer, M.C.; Bromet, E.; Fayyad, J.; De Girolamo, G.; Demyttenaere, K.; Gasquet, I.; Gureje, O.; Haro, J.M.; He, Y.; Kessler, R.C.; Levinson, D.; Medina Mora, M.E.; Oakley Browne, M.; Ormel, J.; Posada-Villa, J.; Watanabe, M.; Williams, D.; Univ Otago, Dept Psychol Med, Wellington, New Zealand; kate.scott@otago.ac.nz
Background. The relationship between mental and physical disorders is well established, but there is less consensus as to the nature of their joint association with disability, in part because additive and interactive models of co-morbidity have not always been clearly differentiated in prior research. Method. Eighteen general population surveys were carried out among adults as part of the World Mental Health (WMH) Survey Initiative (n = 42 697). DSM-IV disorders were assessed using face-to-face interviews with the Composite International Diagnostic Interview (CIDI 3.0). Chronic physical conditions (arthritis, heart disease, respiratory disease, chronic back/neck pain, chronic headache, and diabetes) were ascertained using a standard checklist. Severe disability was defined as on or above the 90th percentile of the WMH version of the World Health Organization Disability Assessment Schedule (WHODAS-II). Results. The odds of severe disability among those with both mental disorder and each of the physical conditions (with the exception of heart disease) were significantly greater than the sum of the odds of the single conditions. The evidence for synergy was model dependent: it was observed in the additive interaction models but not in models assessing multiplicative interactions. Mental disorders were more likely to be associated with severe disability than were the chronic physical conditions. Conclusions. This first cross-national study of the joint effect of mental and physical conditions on the probability of severe disability finds that co-morbidity exerts modest synergistic effects. Clinicians need to accord both mental and physical conditions equal priority, in order for co-morbidity to be adequately managed and disability reduced.