Mental health and well-being within rural communities: The Australian Rural Mental Health Study

被引：80
作者：
Kelly, Brian J. [1 ,2 ]
Stain, Helen J. [1 ,2 ]
Coleman, Clare [2 ]
Perkins, David [3 ]
Fragar, Lyn [4 ]
Fuller, Jeffrey [5 ,6 ]
Lewin, Terry J. [1 ,7 ]
Lyle, David [3 ]
Carr, Vaughan J. [1 ,7 ,8 ]
Wilson, Jacqueline M. [2 ]
Beard, John R. [5 ,6 ]
机构：
[1] Univ Newcastle, Ctr Brain & Mental Hlth Res, Newcastle, NSW 2300, Australia
[2] Univ Newcastle, Ctr Rural & Remote Mental Hlth, Orange, NSW, Australia
[3] Univ Sydney, Univ Dept Rural Hlth, Broken Hill, NSW, Australia
[4] Univ Sydney, Australian Ctr Agr Hlth & Safety, Moree, NSW, Australia
[5] Univ Sydney, No Rivers Dept Rural Hlth, Lismore, NSW, Australia
[6] So Cross Univ, Sch Hlth & Human Sci, Lismore, NSW 2480, Australia
[7] Schizophrenia Res Inst, Darlinghurst, NSW, Australia
[8] Univ New S Wales, Sch Psychiat, Sydney, NSW, Australia
来源：
AUSTRALIAN JOURNAL OF RURAL HEALTH | 2010年 / 18卷 / 01期
基金：
英国医学研究理事会;
关键词：
Composite International Diagnostic Interview; determinant; epidemiology; mental disorder; rural; SOCIAL NETWORKS; DISORDERS; TELEPHONE; URBAN; PREVALENCE; VALIDITY; DIFFERENTIALS; DETERMINANTS; RELIABILITY; INSTRUMENT;
D O I：
10.1111/j.1440-1584.2009.01118.x
中图分类号：
R1 [预防医学、卫生学];
学科分类号：
1004 ; 120402 ;
摘要：
Objective: This paper outlines the methods and baseline data from a multisite cohort study of the determinants and outcomes of mental health and well-being within rural and remote communities. Methods: A stratified random sample of adults was drawn in non-metropolitan New South Wales using the Australian Electoral Roll, with the aim of recruiting all adult members of each household. Surveys assessed psychological symptoms, physical health and mental disorders, along with individual-, family/household- and community-level characteristics. A stratified subsample completed a telephone-administered World Mental Health-Composite International Diagnostic Interview (World Mental Health-3.0). Proxy measures of child health and well-being were obtained. Follow up of this sample will be undertaken at one, three and five years. Results: A total of 2639 individuals were recruited (1879 households), with 28% from remote/very remote regions. A significant relationship was found between recent distress (Kessler-10 scores), age and remoteness, with a linear reduction of Kessler-10 scores with age and the lowest mean scores in remote regions. Conclusions: Existing rurality categories cannot address the diverse socio-cultural, economic and environmental characteristics of non-metropolitan regions. While it has limitations, the dataset will enable a fine-grained examination of geographic, household and community factors and provide a unique longitudinal dataset over a five-year period.
引用
收藏
页码：16 / 24
页数：9
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