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A biopsychosocial approach to examining tobacco‐related health disparities among racially classified social groups
Author(s) -
Fernander Anita F.,
Shavers Vickie L.,
Hammons George J.
Publication year - 2007
Publication title -
addiction
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.424
H-Index - 193
eISSN - 1360-0443
pISSN - 0965-2140
DOI - 10.1111/j.1360-0443.2007.01954.x
Subject(s) - biopsychosocial model , psychosocial , population , population health , health equity , public health , affect (linguistics) , environmental health , medicine , social determinants of health , gerontology , psychology , psychiatry , nursing , communication
Aims  To articulate a broader, multi‐causal model that incorporates psychosocial and environmental factors that can differ systematically across racially classified social groups (RCSGs) and impact biological pathways related to the development of tobacco‐related diseases. Methods  This paper is built upon a review of the existing scientific literature on selected biopsychosocial factors (diet/nutrition, obesity, alcoholic intake, psychosocial stress, occupational/environmental exposures and exposure to other diseases and illnesses) and tobacco use in examining the biological contributions to differences in tobacco‐related health outcomes among RCSGs. Findings  Recent work has focused on RCSG genetic variations as a possible explanation for differences in tobacco‐related health disparities. It is argued in this paper that, given the genetic heterogeneity ‘within’ RCSGs, it is unlikely that across RCSG genetic variations are likely to be the major source of differences impacting biological pathways in tobacco‐related health outcomes. The evidence shows that results, even at the level of within‐population genetic variations, have been limited and often inconsistent. A conceptual framework is proposed to account for biological pathways related to the development of tobacco‐related diseases. Conclusions  Determinants of tobacco‐related health disparities are not understood clearly. The contribution of biological factors may be important. Current efforts to determine biological differences in tobacco use and related diseases among RCSGs have focused primarily on genetic variations. However, this approach has limitations. An alternative biopsychosocial framework that examines the potential biological mechanisms through which life experiences and behavior might affect tobacco use and health outcomes in these population groups is needed, including those of life‐style (e.g. diet/nutrition, obesity, physical exercise, alcohol consumption), psychosocial (e.g. stress and coping), occupational/environmental exposures and the presence of other diseases/illnesses.

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