Unemployment and health:: contextual-level influences on the production of health in populations

被引:64
作者
Béland, F
Birch, S
Stoddart, G
机构
[1] Univ Montreal, Fac Med, GRIS, Montreal, PQ H3C 3J7, Canada
[2] McMaster Univ, Ctr Hlth Econ & Policy Anal, Hamilton, ON, Canada
关键词
unemployment; population health; contextual effect; multi-level models; survey data set; census data set; Canada;
D O I
10.1016/S0277-9536(01)00344-6
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
While there is a large and growing literature investigating the relationship between an individual's employment status and health, considerably less is known about the effect on this relationship of the context in which unemployment occurs. The aim of this paper is test for the presence and nature of contextual effects in the ways unemployment and health are related, based on a simple underlying model of stress, social support and health using a large population health survey. An individual's health can be influenced directly by own exposure to unemployment and by exposure to unemployment in the individual's context, and indirectly by the effects these exposures have on the relationship between other health determinants and health. Based on this conceptualization an empirical model. using multi-level analysis, is formulated that identifies a five-stage process for exploring these complex pathways through which unemployment affects health. Results showed that the association of individual unemployment with perceived health is statistically significant. Nevertheless, this Study did not provide evidence to support the hypothesis that the association of unemployment with health status depends upon whether the experience of unemployment is shared with people living in the same environment. Above all, this study demonstrates both the subtlety and complexity of individual- and contextual-level influences on the health of individuals. Our results caution against simplistic interpretations of the unemployment-health relationship and reinforce the importance of using multi-level statistical methods for investigation of it. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:2033 / 2052
页数:20
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