The Australian Defence Force Mental Health Prevalence and Wellbeing Study: design and methods

被引:37
作者
Van Hooff, Miranda [1 ]
McFarlane, Alexander C. [1 ]
Davies, Christopher E. [2 ]
Searle, Amelia K. [1 ]
Fairweather-Schmidt, A. Kate [3 ]
Verhagen, Alan [4 ]
Benassi, Helen [4 ]
Hodson, Stephanie E. [5 ]
机构
[1] Univ Adelaide, Ctr Traumat Stress Studies, Adelaide, SA 5005, Australia
[2] Univ Adelaide, Discipline Publ Hlth, Data Management & Anal Ctr, Adelaide, SA 5005, Australia
[3] Flinders Univ S Australia, Sch Psychol, Bedford Pk, SA, Australia
[4] Dept Def, Joint Hlth Command, Mental Hlth Psychol & Rehabil Branch, Canberra, ACT, Australia
[5] Dept Vet Affairs, Canberra, ACT, Australia
关键词
Prevalence; military; mental disorder; affective; anxiety; alcohol; PSYCHOLOGICAL DISTRESS SCALE; IDENTIFICATION TEST AUDIT; ALCOHOL-USE; MILLENNIUM COHORT; SCREENING SCALES; GULF-WAR; MILITARY; DISORDERS; UK; COMBAT;
D O I
10.3402/ejpt.v5.23950
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Background: The Australian Defence Force (ADF) Mental Health Prevalence and Wellbeing Study (MHPWS) is the first study of mental disorder prevalence in an entire military population. Objective: The MHPWS aims to establish mental disorder prevalence, refine current ADF mental health screening methods, and identify specific occupational factors that influence mental health. This paper describes the design, sampling strategies, and methodology used in this study. Method: At Phase 1, approximately half of all regular Navy, Army, and Air Force personnel (n = 24,481) completed self-report questionnaires. At Phase 2, a stratified sub-sample (n = 1,798) completed a structured diagnostic interview to detect mental disorder. Based on data from non-responders, data were weighted to represent the entire ADF population (n = 50,049). Results: One in five ADF members met criteria for a 12-month mental disorder (22%). The most common disorder category was anxiety disorders (14.8%), followed by affective (9.5%) and alcohol disorders (5.2%). At risk ADF sub-groups were Army personnel, and those in the lower ranks. Deployment status did not have an impact on mental disorder rates. Conclusion: This study has important implications for mental health service delivery for Australian and international military personnel as well as contemporary veterans.
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页数:12
相关论文
共 42 条
[21]   Short screening scales to monitor population prevalences and trends in non-specific psychological distress [J].
Kessler, RC ;
Andrews, G ;
Colpe, LJ ;
Hiripi, E ;
Mroczek, DK ;
Normand, SLT ;
Walters, EE ;
Zaslavsky, AM .
PSYCHOLOGICAL MEDICINE, 2002, 32 (06) :959-976
[22]   The World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI) [J].
Kessler, RC ;
Üstün, TB .
INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH, 2004, 13 (02) :93-121
[23]   Age of onset of mental disorders:: a review of recent literature [J].
Kessler, Ronald C. ;
Amminger, G. Paul ;
Aguilar-Gaxiola, Sergio ;
Alonso, Jordi ;
Lee, Sing ;
Uestuen, T. Bedirhan .
CURRENT OPINION IN PSYCHIATRY, 2007, 20 (04) :359-364
[24]   The diagnostic accuracy of the PTSD Checklist: A critical review [J].
McDonald, Scott D. ;
Calhoun, Patrick S. .
CLINICAL PSYCHOLOGY REVIEW, 2010, 30 (08) :976-987
[25]  
McFarlane A., 2011, Mental Health in the Australian Defence Force: 2010 ADF Mental Health and Wellbeing Study
[26]  
McGuire A., 2009, Bougainville Health Study Project Completion Report
[27]  
McGuire A., 2009, E TIMOR HLTH STUDY P
[28]   Hazardous or harmful alcohol use in Royal Australian Navy veterans of the 1991 Gulf War: Identification of high risk subgroups [J].
McKenzie, Dean P. ;
McFarlane, Alexander C. ;
Creamer, Mark ;
Ikin, Jillian F. ;
Forbes, Andrew B. ;
Kelsall, Helen L. ;
Clarke, David M. ;
Glass, Deborah C. ;
Ittak, Peter ;
Sim, Malcolm R. .
ADDICTIVE BEHAVIORS, 2006, 31 (09) :1683-1694
[29]   THE EFFICIENCY OF 2-PHASE DESIGNS IN PREVALENCE SURVEYS OF MENTAL-DISORDERS [J].
NEWMAN, SC ;
SHROUT, PE ;
BLAND, RC .
PSYCHOLOGICAL MEDICINE, 1990, 20 (01) :183-193
[30]  
Pickles A, 1995, Stat Methods Med Res, V4, P73, DOI 10.1177/096228029500400106