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Conceptual models for cumulative risk assessment

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  • Linder, S.H.
  • Sexton, K.

Abstract

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 adistinctive "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.

Suggested Citation

  • Linder, S.H. & Sexton, K., 2011. "Conceptual models for cumulative risk assessment," American Journal of Public Health, American Public Health Association, vol. 101(SUPPL. 1), pages 74-81.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2011.300318_4
    DOI: 10.2105/AJPH.2011.300318
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    Cited by:

    1. Devon C. Payne-Sturges & Thurka Sangaramoorthy & Helen Mittmann, 2021. "Framing Environmental Health Decision-Making: The Struggle over Cumulative Impacts Policy," IJERPH, MDPI, vol. 18(8), pages 1-21, April.
    2. Hanneke Kruize & Mariƫl Droomers & Irene Van Kamp & Annemarie Ruijsbroek, 2014. "What Causes Environmental Inequalities and Related Health Effects? An Analysis of Evolving Concepts," IJERPH, MDPI, vol. 11(6), pages 1-21, May.
    3. Salene M.W. Jones & Katherine J. Briant & Cecy Corona & Jason A. Mendoza, 2023. "Feasibility and Validity of Using Item Response Theory to Assess Cumulative Social Risk," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(3), pages 1017-1032, October.

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