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Stein DJ, Kazdin AE, Munthali RJ, Hwang I, Harris MG, Alonso J, Andrade LH, Bruffaerts R, Cardoso G, Chardoul S, de Girolamo G, Florescu S, Gureje O, Haro JM, Karam AN, Karam EG, Kovess-Masfety V, Lee S, Medina-Mora ME, Navarro-Mateu F, Posada-Villa J, Stagnaro JC, Ten Have M, Sampson NA, Kessler RC, Vigo DV. Determinants of effective treatment coverage for posttraumatic stress disorder: findings from the World Mental Health Surveys. BMC Psychiatry 2023; 23:226. [PMID: 37016378 PMCID: PMC10074702 DOI: 10.1186/s12888-023-04605-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 02/13/2023] [Indexed: 04/06/2023] Open
Abstract
BACKGROUND Posttraumatic stress disorder (PTSD) is associated with significant morbidity, but efficacious pharmacotherapy and psychotherapy are available. Data from the World Mental Health Surveys were used to investigate extent and predictors of treatment coverage for PTSD in high-income countries (HICs) as well as in low- and middle-income countries (LMICs). METHODS Seventeen surveys were conducted across 15 countries (9 HICs, 6 LMICs) by the World Health Organization (WHO) World Mental Health Surveys. Of 35,012 respondents, 914 met DSM-IV criteria for 12-month PTSD. Components of treatment coverage analyzed were: (a) any mental health service utilization; (b) adequate pharmacotherapy; (c) adequate psychotherapy; and (d) effective treatment coverage. Regression models investigated predictors of treatment coverage. RESULTS 12-month PTSD prevalence in trauma exposed individuals was 1.49 (S.E., 0.08). A total of 43.0% (S.E., 2.2) received any mental health services, with fewer receiving adequate pharmacotherapy (13.5%), adequate psychotherapy (17.2%), or effective treatment coverage (14.4%), and with all components of treatment coverage lower in LMICs than HICs. In a multivariable model having insurance (OR = 2.31, 95 CI 1.17, 4.57) and severity of symptoms (OR = .35, 95% CI 0.18, 0.70) were predictive of effective treatment coverage. CONCLUSION There is a clear need to improve pharmacotherapy and psychotherapy coverage for PTSD, particularly in those with mild symptoms, and especially in LMICs. Universal health care insurance can be expected to increase effective treatment coverage and therefore improve outcomes.
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Affiliation(s)
- Dan J Stein
- Department of Psychiatry & Mental Health and South African Medical Council Research Unit on Risk and Resilience in Mental Disorders, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa.
| | - Alan E Kazdin
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Richard J Munthali
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Irving Hwang
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Meredith G Harris
- School of Public Health, The University of Queensland, Herston, Queensland, Australia
- Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wacol, Queensland, Australia
| | - Jordi Alonso
- Health Services Research Unit, IMIM-Hospital del Mar Medical Research Institute, CIBER en Epidemiología y Salud Pública (CIBERESP), Pompeu Fabra University (UPF), Barcelona, Spain
| | - Laura Helena Andrade
- Núcleo de Epidemiologia Psiquiátrica - LIM 23, Instituto de Psiquiatria Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Ronny Bruffaerts
- Universitair Psychiatrisch Centrum - Katholieke Universiteit Leuven (UPC-KUL), Campus Gasthuisberg, Leuven, Belgium
| | - Graça Cardoso
- Lisbon Institute of Global Mental Health, Comprehensive Health Research Center (CHRC)/NOVA Medical School, NOVA University of Lisbon, Lisbon, Portugal
| | - Stephanie Chardoul
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | | | - Silvia Florescu
- National School of Public Health, Management and Professional Development, Bucharest, Romania
| | - Oye Gureje
- Department of Psychiatry, University College Hospital, Ibadan, Nigeria
| | - Josep Maria Haro
- Parc Sanitari Sant Joan de Déu, CIBERSAM, Universitat de Barcelona, Sant Boi de Llobregat, Barcelona, Spain
| | - Aimee N Karam
- Institute for Development, Research, Advocacy and Applied Care (IDRAAC), Beirut, Lebanon
| | - Elie G Karam
- Institute for Development, Research, Advocacy and Applied Care (IDRAAC), Beirut, Lebanon
- Department of Psychiatry and Clinical Psychology, Balamand University, Beirut, Lebanon
- Department of Psychiatry and Clinical Psychology, St George Hospital University Medical Center, Beirut, Lebanon
| | - Viviane Kovess-Masfety
- Ecole des Hautes Etudes en Santé Publique (EHESP), EA 4057, Paris Descartes University, Paris, France
| | - Sing Lee
- Department of Psychiatry, Chinese University of Hong Kong, Tai Po, Hong Kong
| | | | - Fernando Navarro-Mateu
- UDIF-SM, Subdirección General de Planificación, Innovación y Cronicidad, Servicio Murciano de Salud. IMIB-Arrixaca, CIBERESP-Murcia, Murcia, Spain
| | - José Posada-Villa
- Colegio Mayor de Cundinamarca University, Faculty of Social Sciences, Bogota, Colombia
| | - Juan Carlos Stagnaro
- Departamento de Psiquiatría y Salud Mental, Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Margreet Ten Have
- Trimbos-Instituut, Netherlands Institute of Mental Health and Addiction, Utrecht, Netherlands
| | - Nancy A Sampson
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Daniel V Vigo
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
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2
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Kessler RC, Kazdin AE, Aguilar‐Gaxiola S, Al‐Hamzawi A, Alonso J, Altwaijri YA, Andrade LH, Benjet C, Bharat C, Borges G, Bruffaerts R, Bunting B, de Almeida JMC, Cardoso G, Chiu WT, Cía A, Ciutan M, Degenhardt L, de Girolamo G, de Jonge P, de Vries Y, Florescu S, Gureje O, Haro JM, Harris MG, Hu C, Karam AN, Karam EG, Karam G, Kawakami N, Kiejna A, Kovess‐Masfety V, Lee S, Makanjuola V, McGrath J, Medina‐Mora ME, Moskalewicz J, Navarro‐Mateu F, Nierenberg AA, Nishi D, Ojagbemi A, Oladeji BD, O'Neill S, Posada‐Villa J, Puac‐Polanco V, Rapsey C, Ruscio AM, Sampson NA, Scott KM, Slade T, Stagnaro JC, Stein DJ, Tachimori H, ten Have M, Torres Y, Viana MC, Vigo DV, Williams DR, Wojtyniak B, Xavier M, Zarkov Z, Ziobrowski HN. Patterns and correlates of patient-reported helpfulness of treatment for common mental and substance use disorders in the WHO World Mental Health Surveys. World Psychiatry 2022; 21:272-286. [PMID: 35524618 PMCID: PMC9077614 DOI: 10.1002/wps.20971] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Patient-reported helpfulness of treatment is an important indicator of quality in patient-centered care. We examined its pathways and predictors among respondents to household surveys who reported ever receiving treatment for major depression, generalized anxiety disorder, social phobia, specific phobia, post-traumatic stress disorder, bipolar disorder, or alcohol use disorder. Data came from 30 community epidemiological surveys - 17 in high-income countries (HICs) and 13 in low- and middle-income countries (LMICs) - carried out as part of the World Health Organization (WHO)'s World Mental Health (WMH) Surveys. Respondents were asked whether treatment of each disorder was ever helpful and, if so, the number of professionals seen before receiving helpful treatment. Across all surveys and diagnostic categories, 26.1% of patients (N=10,035) reported being helped by the very first professional they saw. Persisting to a second professional after a first unhelpful treatment brought the cumulative probability of receiving helpful treatment to 51.2%. If patients persisted with up through eight professionals, the cumulative probability rose to 90.6%. However, only an estimated 22.8% of patients would have persisted in seeing these many professionals after repeatedly receiving treatments they considered not helpful. Although the proportion of individuals with disorders who sought treatment was higher and they were more persistent in HICs than LMICs, proportional helpfulness among treated cases was no different between HICs and LMICs. A wide range of predictors of perceived treatment helpfulness were found, some of them consistent across diagnostic categories and others unique to specific disorders. These results provide novel information about patient evaluations of treatment across diagnoses and countries varying in income level, and suggest that a critical issue in improving the quality of care for mental disorders should be fostering persistence in professional help-seeking if earlier treatments are not helpful.
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Affiliation(s)
| | | | | | - Ali Al‐Hamzawi
- College of MedicineAl‐Qadisiya University, Diwaniya GovernorateIraq
| | - Jordi Alonso
- Health Services Research UnitIMIM‐Hospital del Mar Medical Research InstituteBarcelonaSpain
| | - Yasmin A. Altwaijri
- Epidemiology SectionKing Faisal Specialist Hospital and Research CenterRiyadhSaudi Arabia
| | - Laura H. Andrade
- Núcleo de Epidemiologia Psiquiátrica ‐ LIM 23Instituto de Psiquiatria Hospital das Clinicas da Faculdade de Medicina da Universidade de São PauloSão PauloBrazil
| | - Corina Benjet
- Department of Epidemiologic and Psychosocial ResearchNational Institute of Psychiatry Ramón de la Fuente MuñizMexico CityMexico
| | - Chrianna Bharat
- National Drug and Alcohol Research CentreUniversity of New South WalesSydneyNSWAustralia
| | - Guilherme Borges
- Department of Epidemiologic and Psychosocial ResearchNational Institute of Psychiatry Ramón de la Fuente MuñizMexico CityMexico
| | - Ronny Bruffaerts
- Universitair Psychiatrisch Centrum ‐ Katholieke Universiteit LeuvenLeuvenBelgium
| | | | - José Miguel Caldas de Almeida
- Lisbon Institute of Global Mental Health and Chronic Diseases Research CenterNOVA University of LisbonLisbonPortugal
| | - Graça Cardoso
- Lisbon Institute of Global Mental Health and Chronic Diseases Research CenterNOVA University of LisbonLisbonPortugal
| | - Wai Tat Chiu
- Department of Health Care PolicyHarvard Medical SchoolBostonMAUSA
| | - Alfredo Cía
- Anxiety Disorders Research CenterBuenos AiresArgentina
| | - Marius Ciutan
- National School of Public HealthManagement and Professional DevelopmentBucharestRomania
| | - Louisa Degenhardt
- National Drug and Alcohol Research CentreUniversity of New South WalesSydneyNSWAustralia
| | | | - Peter de Jonge
- Department of Developmental PsychologyUniversity of GroningenGroningenThe Netherlands
| | - Ymkje Anna de Vries
- Department of Developmental PsychologyUniversity of GroningenGroningenThe Netherlands
| | - Silvia Florescu
- National School of Public HealthManagement and Professional DevelopmentBucharestRomania
| | - Oye Gureje
- Department of PsychiatryUniversity College HospitalIbadanNigeria
| | - Josep Maria Haro
- Parc Sanitari Sant Joan de Déu, CIBERSAMUniversitat de BarcelonaBarcelonaSpain
| | - Meredith G. Harris
- School of Public HealthUniversity of Queensland, Herston, and Queensland Centre for Mental Health ResearchWacolQLDAustralia
| | - Chiyi Hu
- Shenzhen Institute of Mental Health and Shenzhen Kangning HospitalShenzhenChina
| | - Aimee N. Karam
- Institute for Development, ResearchAdvocacy and Applied CareBeirutLebanon
| | - Elie G. Karam
- Institute for Development, ResearchAdvocacy and Applied CareBeirutLebanon,Department of Psychiatry and Clinical PsychologySt. George Hospital University Medical CenterBeirutLebanon
| | - Georges Karam
- Institute for Development, ResearchAdvocacy and Applied CareBeirutLebanon,Department of Psychiatry and Clinical PsychologySt. George Hospital University Medical CenterBeirutLebanon
| | - Norito Kawakami
- Department of Mental Health, Graduate School of MedicineUniversity of TokyoTokyoJapan
| | - Andrzej Kiejna
- Psychology Research Unit for Public HealthWSB UniversityTorunPoland
| | - Viviane Kovess‐Masfety
- Laboratoire de Psychopathologie et Processus de Santé EA 4057Université de ParisParisFrance
| | - Sing Lee
- Department of PsychiatryChinese University of Hong KongTai PoHong Kong
| | | | - John J. McGrath
- School of Public HealthUniversity of Queensland, Herston, and Queensland Centre for Mental Health ResearchWacolQLDAustralia,National Centre for Register‐based ResearchAarhus UniversityAarhusDenmark
| | - Maria Elena Medina‐Mora
- Department of Epidemiologic and Psychosocial ResearchNational Institute of Psychiatry Ramón de la Fuente MuñizMexico CityMexico
| | | | - Fernando Navarro‐Mateu
- Unidad de Docencia, Investigación y Formación en Salud MentalUniversidad de MurciaMurciaSpain
| | - Andrew A. Nierenberg
- Dauten Family Center for Bipolar Treatment Innovation, Department of PsychiatryMassachusetts General HospitalBostonMAUSA
| | - Daisuke Nishi
- Department of Mental Health, Graduate School of MedicineUniversity of TokyoTokyoJapan
| | - Akin Ojagbemi
- Department of PsychiatryUniversity College HospitalIbadanNigeria
| | | | | | - José Posada‐Villa
- Colegio Mayor de Cundinamarca UniversityFaculty of Social SciencesBogotaColombia
| | | | - Charlene Rapsey
- Department of Psychological MedicineUniversity of OtagoDunedinNew Zealand
| | | | - Nancy A. Sampson
- Department of Health Care PolicyHarvard Medical SchoolBostonMAUSA
| | - Kate M. Scott
- Department of Psychological MedicineUniversity of OtagoDunedinNew Zealand
| | - Tim Slade
- Matilda Centre for Research in Mental Health and Substance UseUniversity of SydneySydneyAustralia
| | - Juan Carlos Stagnaro
- Departamento de Psiquiatría y Salud MentalUniversidad de Buenos AiresBuenos AiresArgentina
| | - Dan J. Stein
- Department of Psychiatry & Mental Health and South African Medical Council Research Unit on Risk and Resilience in Mental DisordersUniversity of Cape Town and Groote Schuur HospitalCape TownSouth Africa
| | - Hisateru Tachimori
- National Institute of Mental HealthNational Center for Neurology and PsychiatryKodairaTokyoJapan
| | - Margreet ten Have
- Trimbos‐InstituutNetherlands Institute of Mental Health and AddictionUtrechtThe Netherlands
| | - Yolanda Torres
- Center for Excellence on Research in Mental HealthCES UniversityMedellinColombia
| | - Maria Carmen Viana
- Department of Social Medicine, Postgraduate Program in Public HealthFederal University of Espírito SantoVitoriaBrazil
| | - Daniel V. Vigo
- Department of PsychiatryUniversity of British ColumbiaVancouverBCCanada,Department of Global Health and Social MedicineHarvard Medical SchoolBostonMAUSA
| | - David R. Williams
- Department of Social and Behavioral SciencesHarvard T.H. Chan School of Public HealthBostonMAUSA
| | - Bogdan Wojtyniak
- Centre of Monitoring and Analyses of Population HealthNational Institute of Public Health ‐ National Research InstituteWarsawPoland
| | - Miguel Xavier
- Lisbon Institute of Global Mental Health and Chronic Diseases Research CenterNOVA University of LisbonLisbonPortugal
| | - Zahari Zarkov
- Department of Mental HealthNational Center of Public Health and AnalysesSofiaBulgaria
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3
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Wardenaar KJ, van Loo HM, Cai T, Fava M, Gruber MJ, Li J, de Jonge P, Nierenberg AA, Petukhova MV, Rose S, Sampson NA, Schoevers RA, Wilcox MA, Alonso J, Bromet EJ, Bunting B, Florescu SE, Fukao A, Gureje O, Hu C, Huang YQ, Karam AN, Levinson D, Medina Mora ME, Posada-Villa J, Scott KM, Taib NI, Viana MC, Xavier M, Zarkov Z, Kessler RC. The effects of co-morbidity in defining major depression subtypes associated with long-term course and severity. Psychol Med 2014; 44:3289-3302. [PMID: 25066141 PMCID: PMC4180779 DOI: 10.1017/s0033291714000993] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Although variation in the long-term course of major depressive disorder (MDD) is not strongly predicted by existing symptom subtype distinctions, recent research suggests that prediction can be improved by using machine learning methods. However, it is not known whether these distinctions can be refined by added information about co-morbid conditions. The current report presents results on this question. METHOD Data came from 8261 respondents with lifetime DSM-IV MDD in the World Health Organization (WHO) World Mental Health (WMH) Surveys. Outcomes included four retrospectively reported measures of persistence/severity of course (years in episode; years in chronic episodes; hospitalization for MDD; disability due to MDD). Machine learning methods (regression tree analysis; lasso, ridge and elastic net penalized regression) followed by k-means cluster analysis were used to augment previously detected subtypes with information about prior co-morbidity to predict these outcomes. RESULTS Predicted values were strongly correlated across outcomes. Cluster analysis of predicted values found three clusters with consistently high, intermediate or low values. The high-risk cluster (32.4% of cases) accounted for 56.6-72.9% of high persistence, high chronicity, hospitalization and disability. This high-risk cluster had both higher sensitivity and likelihood ratio positive (LR+; relative proportions of cases in the high-risk cluster versus other clusters having the adverse outcomes) than in a parallel analysis that excluded measures of co-morbidity as predictors. CONCLUSIONS Although the results using the retrospective data reported here suggest that useful MDD subtyping distinctions can be made with machine learning and clustering across multiple indicators of illness persistence/severity, replication with prospective data is needed to confirm this preliminary conclusion.
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Affiliation(s)
- K J Wardenaar
- Department of Psychiatry,University of Groningen, University Medical Center Groningen,The Netherlands
| | - H M van Loo
- Department of Psychiatry,University of Groningen, University Medical Center Groningen,The Netherlands
| | - T Cai
- Department of Biostatistics,Harvard School of Public Health,Boston, MA,USA
| | - M Fava
- Department of Psychiatry,MGH Clinical Trials Network and Institute,Depression Clinical and Research Program, Massachusetts General Hospital, Boston, MA,USA
| | - M J Gruber
- Department of Health Care Policy,Harvard Medical School,Boston, MA,USA
| | - J Li
- Department of Biostatistics,Harvard School of Public Health,Boston, MA,USA
| | - P de Jonge
- Department of Psychiatry,University of Groningen, University Medical Center Groningen,The Netherlands
| | - A A Nierenberg
- Depression Clinical and Research Program and the Bipolar Clinic and Research Program,Massachusetts General Hospital and Harvard Medical School,Boston, MA,USA
| | - M V Petukhova
- Department of Health Care Policy,Harvard Medical School,Boston, MA,USA
| | - S Rose
- Department of Health Care Policy,Harvard Medical School,Boston, MA,USA
| | - N A Sampson
- Department of Health Care Policy,Harvard Medical School,Boston, MA,USA
| | - R A Schoevers
- Department of Psychiatry,University of Groningen, University Medical Center Groningen,The Netherlands
| | - M A Wilcox
- Johnson & Johnson Pharmaceutical Research and Development,Titusville, NJ,USA
| | - J Alonso
- IMIM-Hospital del Mar Research Institute, Parc de Salut Mar,Pompeu Fabra University (UPF), andCIBER en Epidemiología y Salud Pública (CIBERESP), Barcelona,Spain
| | - E J Bromet
- Department of Psychiatry and Behavioral Science, Stony Brook School of Medicine,State University of New York at Stony Brook,Stony Brook, NY,USA
| | - B Bunting
- Psychology Research Institute,University of Ulster,Londonderry,UK
| | - S E Florescu
- National School of Public Health,Management and Professional Development, Bucharest,Romania
| | - A Fukao
- Department of Public Health,Yamagata University School of Medicine,Japan
| | - O Gureje
- University College Hospital,Ibadan,Nigeria
| | - C Hu
- Shenzhen Institute of Mental Health and Shenzhen Kangning Hospital,Guangdong Province,People's Republic of China
| | - Y Q Huang
- Institute of Mental Health, Peking University,Beijing,People's Republic of China
| | - A N Karam
- Department of Psychiatry and Clinical Psychology,St George Hospital University Medical Center,Department of Psychiatry and Clinical Psychology, Faculty of Medicine, Balamand University Medical School, andInstitute for Development Research Advocacy and Applied Care (IDRAAC), Beirut,Lebanon
| | - D Levinson
- Research and Planning,Mental Health Services,Ministry of Health, Jerusalem,Israel
| | - M E Medina Mora
- National Institute of Psychiatry,Calzada Mexico Xochimilco, Mexico City,Mexico
| | - J Posada-Villa
- Universidad Colegio Mayor de Cundinamarca,Bogota,Colombia
| | - K M Scott
- Department of Psychological Medicine,University of Otago,Dunedin,New Zealand
| | - N I Taib
- Mental Health Center-Duhok,Kurdistan Region,Iraq
| | - M C Viana
- Department of Social Medicine,Federal University of Espirito Santo,Vitoria,Brazil
| | - M Xavier
- Department of Mental Health,Universidade Nova de Lisboa,Lisbon,Portugal
| | - Z Zarkov
- National Center of Public Health and Analyses,Department of Mental Health, Sofia,Bulgaria
| | - R C Kessler
- Department of Health Care Policy,Harvard Medical School,Boston, MA,USA
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4
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Troost JP, Barondess DA, Storr CL, Wells JE, Obaid Al-Hamzawi A, Andrade LH, Bromet E, Bruffaerts R, Florescu S, de Girolamo G, de Graaf R, Gureje O, Haro JM, Hu C, Huang Y, Karam AN, Kessler RC, Lepine JP, Matschinger H, Medina-Mora ME, O'Neill S, Posada-Villa J, Sagar R, Takeshima T, Tomov T, Williams DR, Anthony JC. An updated global picture of cigarette smoking persistence among adults. J Epidemiol Glob Health 2014; 2:135-44. [PMID: 23626929 PMCID: PMC3635135 DOI: 10.1016/j.jegh.2012.06.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Background: Cross-national variance in smoking prevalence is relatively well documented. The aim of this study is to estimate levels of smoking persistence across 21 countries with a hypothesized inverse relationship between country income level and smoking persistence. Methods: Data from the World Health Organization World Mental Health Survey Initiative were used to estimate cross-national differences in smoking persistence—the proportion of adults who started to smoke and persisted in smoking by the date of the survey. Results: There is large variation in smoking persistence from 25% (Nigeria) to 85% (China), with a random-effects meta-analytic summary estimate of 55% with considerable cross-national variation. (Cochran’s heterogeneity Q statistic = 6845; p < 0.001). Meta-regressions indicated that observed differences are not attributable to differences in country’s income level, age distribution of smokers, or how recent the onset of smoking began within each country. Conclusion: While smoking should remain an important public health issue in any country where smokers are present, this report identifies several countries with higher levels of smoking persistence (namely, China and India).
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Affiliation(s)
- Jonathan P Troost
- Department of Epidemiology, College of Human Medicine, Michigan State University, East Lansing, MI 48824, USA.
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5
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Karam EG, Fayyad J, Karam AN, Melhem N, Mneimneh Z, Dimassi H, Tabet CC. Outcome of depression and anxiety after war: a prospective epidemiologic study of children and adolescents. J Trauma Stress 2014; 27:192-9. [PMID: 24740870 DOI: 10.1002/jts.21895] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Prospective studies of children exposed to war have not investigated disorders other than posttraumatic stress disorder (PTSD) and have methodological limitations. From a stratified random sample of 386 children and adolescents who had been interviewed 3 weeks after war exposure (Phase 1) a random subsample (N = 143) was interviewed a year later (Phase 2). PTSD, major depressive disorder (MDD), separation anxiety disorder (SAD), overanxious disorder (OAD), and psychosocial stressors were assessed using structured interviews administered to both children and adolescents and their parents. The prevalence of disorders among the 143 at Phase 1 was MDD 25.9%, SAD 16.1%, OAD 28.0%, and PTSD 26.0%, with 44.1% having any disorder. At Phase 2 the prevalence was MDD, 5.6%; SAD, 4.2%; OAD, 0%; and PTSD, 1.4%, with 9.2% having any disorder. Occurrence of disorders at Phase 1 was associated with older age, prewar disorders, financial problems, fear of being beaten, and witnessing any war event (ORs ranged from 2.5 to 28.6). Persistence of disorders to Phase 2 was associated with prewar disorders (OR = 6.0) and witnessing any war event (OR = 14.3). There are implications for detection of at-risk cases following wars by screening for adolescents exposed to family violence, those with prewar disorders, and those who directly witnessed war events to target them for specific interventions.
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Affiliation(s)
- Elie G Karam
- Department of Psychiatry and Clinical Psychology, Faculty of Medicine, Balamand University, Beirut, Lebanon; Department of Psychiatry and Clinical Psychology, St George Hospital University Medical Center, Beirut, Lebanon; Institute for Development Research Advocacy and Applied Care (IDRAAC), Beirut, Lebanon
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6
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Karam EG, Friedman MJ, Hill ED, Kessler RC, McLaughlin KA, Petukhova M, Sampson L, Shahly V, Angermeyer MC, Bromet EJ, de Girolamo G, de Graaf R, Demyttenaere K, Ferry F, Florescu SE, Haro JM, He Y, Karam AN, Kawakami N, Kovess-Masfety V, Medina-Mora ME, Browne MAO, Posada-Villa JA, Shalev AY, Stein DJ, Viana MC, Zarkov Z, Koenen KC. Cumulative traumas and risk thresholds: 12-month PTSD in the World Mental Health (WMH) surveys. Depress Anxiety 2014; 31:130-42. [PMID: 23983056 PMCID: PMC4085043 DOI: 10.1002/da.22169] [Citation(s) in RCA: 250] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2012] [Revised: 07/03/2013] [Accepted: 07/13/2013] [Indexed: 10/26/2022] Open
Abstract
BACKGROUND Clinical research suggests that posttraumatic stress disorder (PTSD) patients exposed to multiple traumatic events (TEs) rather than a single TE have increased morbidity and dysfunction. Although epidemiological surveys in the United States and Europe also document high rates of multiple TE exposure, no population-based cross-national data have examined this issue. METHODS Data were analyzed from 20 population surveys in the World Health Organization World Mental Health Survey Initiative (n = 51,295 aged 18+). The Composite International Diagnostic Interview (3.0) assessed 12-month PTSD and other common DSM-IV disorders. Respondents with 12-month PTSD were assessed for single versus multiple TEs implicated in their symptoms. Associations were examined with age of onset (AOO), functional impairment, comorbidity, and PTSD symptom counts. RESULTS 19.8% of respondents with 12-month PTSD reported that their symptoms were associated with multiple TEs. Cases who associated their PTSD with four or more TEs had greater functional impairment, an earlier AOO, longer duration, higher comorbidity with mood and anxiety disorders, elevated hyperarousal symptoms, higher proportional exposures to partner physical abuse and other types of physical assault, and lower proportional exposure to unexpected death of a loved one than cases with fewer associated TEs. CONCLUSIONS A risk threshold was observed in this large-scale cross-national database wherein cases who associated their PTSD with four or more TEs presented a more "complex" clinical picture with substantially greater functional impairment and greater morbidity than other cases of PTSD. PTSD cases associated with four or more TEs may merit specific and targeted intervention strategies.
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Affiliation(s)
- Elie G. Karam
- Department of Psychiatry and Clinical Psychology, Institute for Development, Research, Advocacy, and Applied Care (IDRAAC), St. George Hospital University Medical Center, Beirut, Lebanon
| | - Matthew J. Friedman
- U.S. Department of Veterans Affairs, National Center for PTSD, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Eric D. Hill
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Ronald C. Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Katie A. McLaughlin
- Division of General Pediatrics, Children's Hospital Boston, Harvard Medical School, Boston, Massachusetts
| | - Maria Petukhova
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Laura Sampson
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Victoria Shahly
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | | | - Evelyn J. Bromet
- Department of Psychiatry, State University of New York at Stony Brook, Stony Brook, New York
| | | | - Ron de Graaf
- Netherlands Institute of Mental Health and Addiction, the Netherlands
| | - Koen Demyttenaere
- Department of Psychiatry, University Hospital Gasthuisberg, University Hospital, Leuven, Belgium
| | - Finola Ferry
- MRC Trial Methodology Hub, Bamford Centre for Mental Health and Wellbeing, University of Ulster, Londonderry, United Kingdom
| | - Silvia E. Florescu
- Public Health Research and Evidence Based Medicine Department, National School of Public Health and Health Services Management, Bucharest, Romania
| | - Josep Maria Haro
- Parc Sanitari Sant Joan de Déu, CIBERSAM, University of Barcelona, Sant Boi de Llobregat, Barcelona, Spain
| | - Yanling He
- Department of Clinical Epidemiology, Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Aimee N. Karam
- Department of Psychiatry and Clinical Psychology, Institute for Development, Research, Advocacy, and Applied Care (IDRAAC), St. George Hospital University Medical Center, Beirut, Lebanon
| | - Norito Kawakami
- Department of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Viviane Kovess-Masfety
- Department of Epidemiology, EHESP School for Public Health, Université Paris Descartes, Paris, France
| | | | - Mark A. Oakley Browne
- Statewide and Mental Health Services, Department of Health and Human Services, Tasmania, Australia
| | | | - Arieh Y. Shalev
- Department of Psychiatry, Hadassah University Hospital, Kiriat Hadassah, Jerusalem, Israel
| | - Dan J. Stein
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - Maria Carmen Viana
- Department of Social Medicine, Federal University of Espírito Santo (UFES), Vitoria, Espírito Santo, Brazil
| | - Zahari Zarkov
- Department of Mental Health, National Center of Public Health and Analyses, Sofia, Bulgaria
| | - Karestan C. Koenen
- Psychiatric-Neurological Epidemiology Cluster Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York,Correspondence to: Karestan C. Koenen, Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, Room 720G, New York, NY 10032.
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7
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Ahmedani BK, Kubiak SP, Kessler RC, de Graaf R, Alonso J, Bruffaerts R, Zarkov Z, Viana MC, Huang YQ, Hu C, Posada-Villa JA, Lepine JP, Angermeyer MC, de Girolamo G, Karam AN, Medina-Mora ME, Gureje O, Ferry F, Sagar R, Anthony JC. Embarrassment when illness strikes a close relative: a World Mental Health Survey Consortium Multi-Site Study. Psychol Med 2013; 43:2191-2202. [PMID: 23298443 PMCID: PMC4013530 DOI: 10.1017/s003329171200298x] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND In this global study we sought to estimate the degree to which a family member might feel embarrassed when a close relative is suffering from an alcohol, drug, or mental health condition (ADMC) versus a general medical condition (GMC). To date, most studies have considered embarrassment and stigma in society and internalized by the afflicted individual but have not assessed family embarrassment in a large-scale study. METHOD In 16 sites of the World Mental Health Surveys (WMHS), standardized assessments were completed including items on family embarrassment. Site matching was used to constrain local socially shared determinants of stigma-related feelings, enabling a conditional logistic regression model that estimates the embarrassment close relatives may hold in relation to family members affected by an ADMC, a GMC, or both conditions. RESULTS There was a statistically robust association such that subgroups with an ADMC-affected relative were more likely to feel embarrassed compared to subgroups with a relative affected by a GMC (p<0.001), even with covariate adjustments for age and sex. CONCLUSIONS . The pattern of evidence from this research is consistent with conceptual models for interventions that target individual- and family-level stigma-related feelings of embarrassment as possible obstacles to effective early intervention and treatment for an ADMC. Macro-level interventions are under way but micro-level interventions may also be required among family members, along with care for each person with an ADMC.
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Affiliation(s)
- B K Ahmedani
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, MI 48202, USA.
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8
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Abstract
BACKGROUND Suicide rates increase following periods of war; however, the mechanism through which this occurs is not known. The aim of this paper is to shed some light on the associations of war exposure, mental disorders, and subsequent suicidal behavior. METHOD A national sample of Lebanese adults was administered the Composite International Diagnostic Interview to collect data on lifetime prevalence and age of onset of suicide ideation, plan, and attempt, and mental disorders, in addition to information about exposure to stressors associated with the 1975-1989 Lebanon war. RESULTS The onset of suicide ideation, plan, and attempt was associated with female gender, younger age, post-war period, major depression, impulse-control disorders, and social phobia. The effect of post-war period on each type of suicide outcome was largely explained by the post-war onset of mental disorders. Finally, the conjunction of having a prior impulse-control disorder and either being a civilian in a terror region or witnessing war-related stressors was associated with especially high risk of suicide attempt. CONCLUSIONS The association of war with increased risk of suicidality appears to be partially explained by the emergence of mental disorders in the context of war. Exposure to war may exacerbate disinhibition among those who have prior impulse-control disorders, thus magnifying the association of mental disorders with suicidality.
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Affiliation(s)
- E G Karam
- Department of Psychiatry and Clinical Psychology, St George Hospital University Medical Center, Beirut, Lebanon.
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9
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Bromet E, Andrade LH, Hwang I, Sampson NA, Alonso J, de Girolamo G, de Graaf R, Demyttenaere K, Hu C, Iwata N, Karam AN, Kaur J, Kostyuchenko S, Lépine JP, Levinson D, Matschinger H, Mora MEM, Browne MO, Posada-Villa J, Viana MC, Williams DR, Kessler RC. Cross-national epidemiology of DSM-IV major depressive episode. BMC Med 2011; 9:90. [PMID: 21791035 PMCID: PMC3163615 DOI: 10.1186/1741-7015-9-90] [Citation(s) in RCA: 1222] [Impact Index Per Article: 94.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2011] [Accepted: 07/26/2011] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Major depression is one of the leading causes of disability worldwide, yet epidemiologic data are not available for many countries, particularly low- to middle-income countries. In this paper, we present data on the prevalence, impairment and demographic correlates of depression from 18 high and low- to middle-income countries in the World Mental Health Survey Initiative. METHODS Major depressive episodes (MDE) as defined by the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DMS-IV) were evaluated in face-to-face interviews using the World Health Organization Composite International Diagnostic Interview (CIDI). Data from 18 countries were analyzed in this report (n = 89,037). All countries surveyed representative, population-based samples of adults. RESULTS The average lifetime and 12-month prevalence estimates of DSM-IV MDE were 14.6% and 5.5% in the ten high-income and 11.1% and 5.9% in the eight low- to middle-income countries. The average age of onset ascertained retrospectively was 25.7 in the high-income and 24.0 in low- to middle-income countries. Functional impairment was associated with recency of MDE. The female: male ratio was about 2:1. In high-income countries, younger age was associated with higher 12-month prevalence; by contrast, in several low- to middle-income countries, older age was associated with greater likelihood of MDE. The strongest demographic correlate in high-income countries was being separated from a partner, and in low- to middle-income countries, was being divorced or widowed. CONCLUSIONS MDE is a significant public-health concern across all regions of the world and is strongly linked to social conditions. Future research is needed to investigate the combination of demographic risk factors that are most strongly associated with MDE in the specific countries included in the WMH.
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Affiliation(s)
- Evelyn Bromet
- Department of Psychiatry, State University of New York at Stony Brook, South Campus, Stony Brook, NY 11794-8790, NY, USA.
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10
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Alonso J, Vilagut G, Chatterji S, Heeringa S, Schoenbaum M, Üstün TB, Rojas-Farreras S, Angermeyer M, Bromet E, Bruffaerts R, de Girolamo G, Gureje O, Haro JM, Karam AN, Kovess V, Levinson D, Liu Z, Mora MEM, Ormel J, Posada-Villa J, Uda H, Kessler RC. Including information about co-morbidity in estimates of disease burden: results from the World Health Organization World Mental Health Surveys. Psychol Med 2011; 41:873-886. [PMID: 20553636 PMCID: PMC3045479 DOI: 10.1017/s0033291710001212] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
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.
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Affiliation(s)
- Jordi Alonso
- Health Services Research Unit, Institut Municipal d’Investigació Mèdica (IMIM-Hospital del Mar), Barcelona, Spain
- CIBER en Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Gemma Vilagut
- Health Services Research Unit, Institut Municipal d’Investigació Mèdica (IMIM-Hospital del Mar), Barcelona, Spain
- CIBER en Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | | | - Steven Heeringa
- University of Michigan, Institute for Social Research, Ann Arbor, MI USA
| | | | | | - Sonia Rojas-Farreras
- Health Services Research Unit, Institut Municipal d’Investigació Mèdica (IMIM-Hospital del Mar), Barcelona, Spain
| | | | - Evelyn Bromet
- State University of New York, Stony Brook, New York, USA
| | | | | | - Oye Gureje
- University College Hospital, Ibadan, Nigeria
| | | | - Aimee N. Karam
- Department of Psychiatry and Clinical Psychology, Saint George Hospital University Medical Center, Department of Psychiatry and Clinical Psychology, Faculty of Medicine, Balamand University Medical School, and the Institute for Development, Research, Advocacy and Applied Care (IDRAAC), Beirut, Lebanon
| | | | - Daphna Levinson
- Research & Planning, Mental Health Services Ministry of Health, Jerusalem, Israel
| | - Zhaorui Liu
- Institute of Mental Health, Peking University, Beijing, China
| | | | - J. Ormel
- Interdisciplinary Center for Psychiatric Epidemiology, University Medical Center Groningen, The Netherlands
| | | | - Hidenori Uda
- Health, Social Welfare, and Environmental Department, Osumi Regional Promotion Bureau, Kagoshima Prefecture, Japan
| | - Ronald C. Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA USA
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11
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Levinson D, Lakoma MD, Petukhova M, Schoenbaum M, Zaslavsky AM, Angermeyer M, Borges G, Bruffaerts R, de Girolamo G, de Graaf R, Gureje O, Haro JM, Hu C, Karam AN, Kawakami N, Lee S, Lepine JP, Browne MO, Okoliyski M, Posada-Villa J, Sagar R, Viana MC, Williams DR, Kessler RC. Associations of serious mental illness with earnings: results from the WHO World Mental Health surveys. Br J Psychiatry 2010; 197:114-21. [PMID: 20679263 PMCID: PMC2913273 DOI: 10.1192/bjp.bp.109.073635] [Citation(s) in RCA: 83] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND Burden-of-illness data, which are often used in setting healthcare policy-spending priorities, are unavailable for mental disorders in most countries. AIMS To examine one central aspect of illness burden, the association of serious mental illness with earnings, in the World Health Organization (WHO) World Mental Health (WMH) Surveys. METHOD The WMH Surveys were carried out in 10 high-income and 9 low- and middle-income countries. The associations of personal earnings with serious mental illness were estimated. RESULTS Respondents with serious mental illness earned on average a third less than median earnings, with no significant between-country differences (chi(2)(9) = 5.5-8.1, P = 0.52-0.79). These losses are equivalent to 0.3-0.8% of total national earnings. Reduced earnings among those with earnings and the increased probability of not earning are both important components of these associations. CONCLUSIONS These results add to a growing body of evidence that mental disorders have high societal costs. Decisions about healthcare resource allocation should take these costs into consideration.
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12
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Degenhardt L, Dierker L, Chiu WT, Medina-Mora ME, Neumark Y, Sampson N, Alonso J, Angermeyer M, Anthony JC, Bruffaerts R, de Girolamo G, de Graaf R, Gureje O, Karam AN, Kostyuchenko S, Lee S, Lépine JP, Levinson D, Nakamura Y, Posada-Villa J, Stein D, Wells JE, Kessler RC. Evaluating the drug use "gateway" theory using cross-national data: consistency and associations of the order of initiation of drug use among participants in the WHO World Mental Health Surveys. Drug Alcohol Depend 2010; 108:84-97. [PMID: 20060657 PMCID: PMC2835832 DOI: 10.1016/j.drugalcdep.2009.12.001] [Citation(s) in RCA: 169] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2008] [Revised: 12/01/2009] [Accepted: 12/02/2009] [Indexed: 10/20/2022]
Abstract
BACKGROUND It is unclear whether the normative sequence of drug use initiation, beginning with tobacco and alcohol, progressing to cannabis and then other illicit drugs, is due to causal effects of specific earlier drug use promoting progression, or to influences of other variables such as drug availability and attitudes. One way to investigate this is to see whether risk of later drug use in the sequence, conditional on use of drugs earlier in the sequence, changes according to time-space variation in use prevalence. We compared patterns and order of initiation of alcohol, tobacco, cannabis, and other illicit drug use across 17 countries with a wide range of drug use prevalence. METHOD Analyses used data from World Health Organization (WHO) World Mental Health (WMH) Surveys, a series of parallel community epidemiological surveys using the same instruments and field procedures carried out in 17 countries throughout the world. RESULTS Initiation of "gateway" substances (i.e. alcohol, tobacco and cannabis) was differentially associated with subsequent onset of other illicit drug use based on background prevalence of gateway substance use. Cross-country differences in substance use prevalence also corresponded to differences in the likelihood of individuals reporting a non-normative sequence of substance initiation. CONCLUSION These results suggest the "gateway" pattern at least partially reflects unmeasured common causes rather than causal effects of specific drugs on subsequent use of others. This implies that successful efforts to prevent use of specific "gateway" drugs may not in themselves lead to major reductions in the use of later drugs.
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Affiliation(s)
- Louisa Degenhardt
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW 2052, Australia.
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13
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Kessler RC, Birnbaum H, Shahly V, Bromet E, Hwang I, McLaughlin KA, Sampson N, Andrade LH, de Girolamo G, Demyttenaere K, Haro JM, Karam AN, Kostyuchenko S, Kovess V, Lara C, Levinson D, Matschinger H, Nakane Y, Browne MO, Ormel J, Posada-Villa J, Sagar R, Stein DJ. Age differences in the prevalence and co-morbidity of DSM-IV major depressive episodes: results from the WHO World Mental Health Survey Initiative. Depress Anxiety 2010; 27:351-64. [PMID: 20037917 PMCID: PMC3139270 DOI: 10.1002/da.20634] [Citation(s) in RCA: 281] [Impact Index Per Article: 20.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Although depression appears to decrease in late life, this could be due to misattribution of depressive symptoms to physical disorders that increase in late life. METHODS We investigated this issue by studying age differences in co-morbidity of DSM-IV major depressive episodes (MDE) with chronic physical conditions in the WHO World Mental Health (WMH) surveys, a series of community epidemiological surveys of respondents in 10 developed countries (n=52,485) and 8 developing countries (n=37,265). MDE and other mental disorders were assessed with the Composite International Diagnostic Interview (CIDI). Organic exclusion rules were not used to avoid inappropriate exclusion of cases with physical co-morbidity. Physical conditions were assessed with a standard chronic conditions checklist. RESULTS Twelve-month DSM-IV/CIDI MDE was significantly less prevalent among respondents ages 65+ than younger respondents in developed but not developing countries. Prevalence of co-morbid mental disorders generally either decreased or remained stable with age, while co-morbidity of MDE with mental disorders generally increased with age. Prevalence of physical conditions, in comparison, generally increased with age, while co-morbidity of MDE with physical conditions generally decreased with age. Depression treatment was lowest among the elderly in developed and developing countries. CONCLUSIONS The weakening associations between MDE and physical conditions with increasing age argue against the suggestion that the low estimated prevalence of MDE among the elderly is due to increased confounding with physical disorders. Future study is needed to investigate processes that might lead to a decreasing impact of physical illness on depression among the elderly.
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Affiliation(s)
- Ronald C. Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | | | - Victoria Shahly
- Boston Psychoanalytic Society and Institute, Boston, Massachusetts
| | - Evelyn Bromet
- Department of Psychiatry, State University of New York at Stony Brook
| | - Irving Hwang
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Katie A. McLaughlin
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Nancy Sampson
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Laura Helena Andrade
- Section of Psychiatric Epidemiology- LIM 23 Department and Institute of Psychiatry School of Medicine University of São Paulo São Paulo, Brazil
| | | | - Koen Demyttenaere
- Department of Psychiatry, University Hospital Gasthuisberg, Leuven, Belgium
| | - Josep Maria Haro
- Sant Joan de Deu-SSM, Barcelona; Ciber en Salud Mental (CIBERSAM), ISCIII Barcelona, Spain
| | - Aimee N. Karam
- Department of Psychiatry and Clinical Psychology, Saint George Hospital University Medical Center, Department of Psychiatry and Clinical Psychology, Faculty of Medicine, Balamand University Medical School, and the Institute for Development, Research, Advocacy and Applied Care (IDRAAC), Beirut, Lebanon
| | | | | | - Carmen Lara
- Autonomous University of Puebla, Puebla, Mexico
| | - Daphna Levinson
- Research & Planning, Mental Health Services Ministry of Health, Jerusalem, Israel
| | | | | | | | - Johan Ormel
- Department of Psychiatry & Department of Epidemiology and Bioinformatics, University Medical Center Groningen; Graduate School of Behavioural and Cognitive Neurosciences & Graduate School for Experimental Psychopathology, University of Groningen, the Netherlands
| | - Jose Posada-Villa
- Ministry of Social Protection, Colegio Mayor de Cundinamarca University, Bogota, Colombia
| | - Rajesh Sagar
- Department of Psychiatry, All India Institute of Medical Sciences, Delhi, India
| | - Dan J. Stein
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
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14
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Karam EG, Mneimneh ZN, Dimassi H, Fayyad JA, Karam AN, Nasser SC, Chatterji S, Kessler RC. Lifetime prevalence of mental disorders in Lebanon: first onset, treatment, and exposure to war. PLoS Med 2008; 5:e61. [PMID: 18384228 PMCID: PMC2276523 DOI: 10.1371/journal.pmed.0050061] [Citation(s) in RCA: 151] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2007] [Accepted: 01/28/2008] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND There are no published data on national lifetime prevalence and treatment of mental disorders in the Arab region. Furthermore, the effect of war on first onset of disorders has not been addressed previously on a national level, especially in the Arab region. Thus, the current study aims at investigating the lifetime prevalence, treatment, age of onset of mental disorders, and their relationship to war in Lebanon. METHODS AND FINDINGS The Lebanese Evaluation of the Burden of Ailments and Needs Of the Nation study was carried out on a nationally representative sample of the Lebanese population (n = 2,857 adults). Respondents were interviewed using the fully structured WHO Composite International Diagnostic Interview 3.0. Lifetime prevalence of any Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) disorder was 25.8%. Anxiety (16.7%) and mood (12.6%) were more common than impulse control (4.4%) and substance (2.2%) disorders. Only a minority of people with any mental disorder ever received professional treatment, with substantial delays (6 to 28 y) between the onset of disorders and onset of treatment. War exposure increased the risk of first onset of anxiety (odds ratio [OR] 5.92, 95% confidence interval [CI] 2.5-14.1), mood (OR 3.32, 95% CI 2.0-5.6), and impulse control disorders (OR 12.72, 95% CI 4.5-35.7). CONCLUSIONS About one-fourth of the sample (25.8%) met criteria for at least one of the DSM-IV disorders at some point in their lives. There is a substantial unmet need for early identification and treatment. Exposure to war events increases the odds of first onset of mental disorders.
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Affiliation(s)
- Elie G Karam
- Department of Psychiatry and Clinical Psychology, Saint George Hospital University Medical Center, Beirut, Lebanon.
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15
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Abstract
BACKGROUND Mental disorders are believed to account for a large portion of disease burden worldwide. However, no national studies have been undertaken to assess this assumption in the Arab world. METHODS As part of the WHO World Mental Health (WMH) Survey Initiative, a nationally representative psychiatric epidemiological survey of 2857 adults (aged 18 years) was done in Lebanon between September, 2002, and September, 2003, through a study called LEBANON (Lebanese Evaluation of the Burden of Ailments and Needs Of the Nation). 12-month prevalence and severity of DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, fourth edition) disorders, and treatment were assessed with the WHO Composite International Diagnostic Interview (CIDI, version 3.0). Information was also obtained for sociodemographics and exposure to traumatic events in the Lebanon wars. FINDINGS 308 (17.0%) of respondents met criteria for at least one 12-month DSM-IV/CIDI disorder, 108 (27.0%) of whom were classified serious and an additional 112 (36.0%) moderate. Nearly half of respondents had a history of exposure to war-related traumatic events. Significantly elevated odds ratios (OR) of mood, anxiety, and impulse-control disorders were associated with two (OR 2.0-3.6) or more (2.2-9.1) war-related traumatic events, resulting in substantially higher proportions of moderate and severe 12-month mental disorders in respondents exposed to multiple war-related traumata (16.8-20.4%) compared with other respondents (3.3-3.5%). Only 47 (10.9%) respondents with 12-month disorders obtained treatment. 85% of people were treated in the general medical sector and the mental-health-care system, and the rest by religious or spiritual advisers, counsellors, herbalists, or fortune-tellers. INTERPRETATION Mental disorders are common in Lebanon, with a prevalence equivalent to that in Western Europe. However, the number of individuals with mental disorders who are not receiving treatment is considerably higher in Lebanon than in Western countries.
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Affiliation(s)
- Elie G Karam
- Department of Psychiatry and Clinical Psychology, St George Hospital University Medical Center, Beirut, Lebanon.
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16
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Demyttenaere K, Bruffaerts R, Posada-Villa J, Gasquet I, Kovess V, Lepine JP, Angermeyer MC, Bernert S, de Girolamo G, Morosini P, Polidori G, Kikkawa T, Kawakami N, Ono Y, Takeshima T, Uda H, Karam EG, Fayyad JA, Karam AN, Mneimneh ZN, Medina-Mora ME, Borges G, Lara C, de Graaf R, Ormel J, Gureje O, Shen Y, Huang Y, Zhang M, Alonso J, Haro JM, Vilagut G, Bromet EJ, Gluzman S, Webb C, Kessler RC, Merikangas KR, Anthony JC, Von Korff MR, Wang PS, Brugha TS, Aguilar-Gaxiola S, Lee S, Heeringa S, Pennell BE, Zaslavsky AM, Ustun TB, Chatterji S. Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys. JAMA 2004; 291:2581-90. [PMID: 15173149 DOI: 10.1001/jama.291.21.2581] [Citation(s) in RCA: 1945] [Impact Index Per Article: 97.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
CONTEXT Little is known about the extent or severity of untreated mental disorders, especially in less-developed countries. OBJECTIVE To estimate prevalence, severity, and treatment of Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) mental disorders in 14 countries (6 less developed, 8 developed) in the World Health Organization (WHO) World Mental Health (WMH) Survey Initiative. DESIGN, SETTING, AND PARTICIPANTS Face-to-face household surveys of 60 463 community adults conducted from 2001-2003 in 14 countries in the Americas, Europe, the Middle East, Africa, and Asia. MAIN OUTCOME MEASURES The DSM-IV disorders, severity, and treatment were assessed with the WMH version of the WHO Composite International Diagnostic Interview (WMH-CIDI), a fully structured, lay-administered psychiatric diagnostic interview. RESULTS The prevalence of having any WMH-CIDI/DSM-IV disorder in the prior year varied widely, from 4.3% in Shanghai to 26.4% in the United States, with an interquartile range (IQR) of 9.1%-16.9%. Between 33.1% (Colombia) and 80.9% (Nigeria) of 12-month cases were mild (IQR, 40.2%-53.3%). Serious disorders were associated with substantial role disability. Although disorder severity was correlated with probability of treatment in almost all countries, 35.5% to 50.3% of serious cases in developed countries and 76.3% to 85.4% in less-developed countries received no treatment in the 12 months before the interview. Due to the high prevalence of mild and subthreshold cases, the number of those who received treatment far exceeds the number of untreated serious cases in every country. CONCLUSIONS Reallocation of treatment resources could substantially decrease the problem of unmet need for treatment of mental disorders among serious cases. Structural barriers exist to this reallocation. Careful consideration needs to be given to the value of treating some mild cases, especially those at risk for progressing to more serious disorders.
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Abstract
This article examines the effect of war events and pre-war depression on the prevalence of major depression during war. A total of 658 subjects aged 18-65 years were randomly selected from four Lebanese communities differentially exposed to the Lebanon Wars and were interviewed using the Diagnostic Interview Schedule (Arabic version). The individual levels of exposure to war events were assessed through a War Events Questionnaire. The lifetime prevalence of the DSM-III-R-defined major depression varied across the four communities from 16.3 to 41.9%; the final parameters predicting major depression since the onset of the wars were: depression before the wars and exposure to the wars. Both, individual levels of exposure to war and a history of pre-war depression, predict the development of depression during war.
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Affiliation(s)
- E G Karam
- Department of Psychiatry and Psychology, St. George Hospital, Beirut, Lebanon.
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