| Titre : | Conceptual Models for Cumulative Risk Assessment. (2011) |
| Auteurs : | LINDER (Stephen-H) : USA. Management. Policy. And Community Health. And the Institute for Health Policy. The University of Texas School of Public Health. Houston. ; SEXTON (Ken) : USA. Epidemiology. Human Genetics & Environmental Sciences. The University of Texas School of Public Health. Brownsville Regional Campus. Brownsville. |
| Type de document : | Article |
| Dans : | American journal of public health (vol. 101, 2011) |
| Pagination : | S74-S81 |
| Langues: | Anglais |
| Mots-clés : | Modèle ; Facteur risque ; Risque |
| Résumé : | [BDSP. Notice produite par INIST-CNRS R0xB9IGl. Diffusion soumise à autorisation]. In the absence of scientific consensus on an appropriate theoretical framework, cumulative risk assessment and related research have relied on speculative conceptual models. We argue for the importance of theoretical backing for such models and discuss 3 relevant theoretical frameworks, each supporting a distinctive "family" of models. Social determinant models postulate that unequal health outcomes are caused by structural inequalities ; health disparity models envision social and contextual factors acting through individual behaviors and biological mechanisms ; and multiple stressor models incorporate environmental agents, emphasizing the intermediary role of these and other stressors. The conclusion is that more careful reliance on established frameworks will lead directly to improvements in characterizing cumulative risk burdens and accounting for disproportionate adverse health effects. |
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