Theory driven research designs for explaining behavioural health risk transitions: The case of smoking

被引:26
作者
Dixon, Jane [1 ]
Banwell, Cathy [1 ]
机构
[1] Australian Natl Univ, Natl Ctr Epidemiol & Populat Hlth, Canberra, ACT 0200, Australia
关键词
Bourdieu; Social contagion and mimesis; Health risk transitions; Cigarette consumption; Smoking; LARGE SOCIAL NETWORK; CIGARETTE-SMOKING; GRADIENTS; DIFFUSION; CESSATION; DYNAMICS; CULTURE; SPREAD; MARKET;
D O I
10.1016/j.socscimed.2009.03.025
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Recent social network analyses have suggested that common chronic disease risk factors are more mutable than expected; raising practical considerations for public health interventions. Within this context, it is timely to assess the alternative social science reasoning being offered to explain behavioural health risk transitions. This paper takes up this challenge by critically reviewing the major theories applied to the temporal trends and sub-population variations in affluent country smoking behaviour. Three explanations dominate: a materialist approach; Bourdieu's distinctive class-based cultures; and, the spread of norms and emotions within social networks. We note conceptual tension when integrated theories are adopted. We also report on the relative absence of theoretical interrogation for the persistent adoption of smoking behaviours among present and successive lower socio-economic status (SES) cohorts. While unequal rates of persistence within cohorts has received some attention, the ongoing adoption of a non-innovative and health damaging behaviour is not well understood. To this end, we suggest the incorporation of several underused concepts: namely Bourdieu's 'rules of the game' and 'symbolic violence' and 'mimesis', an aspect of social contagion. We conclude by describing the implications for social action of the alternative theories, and argue that theory driven research designs could deliver more efficacious evidence for interventions than the post hoc application of theories to existing data sets. Crown Copyright (C) 2009 Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:2206 / 2214
页数:9
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