Beyond traditional paradigms in disparities research

Michael Christopher Gibbons, Malcolm Brock, Anthony J. Alberg, Thomas Glass, Thomas A. Laveist, Stephen Baylin, David Levine, C. Earl Fox

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Recently several researchers have hypothesized pathways that attempt to explain how the sociobehavioral environment is related to health and health disparities (Acheson, 1998; Adler & Ostrove, 1999; Baum, Garofalo, & Yali, 1999; Birch, 1999; Capitman, Bhalotra, Calderon-Rosado, & Gibbons, 2003; Fuhrer et al., 2002; Macintyre, 1997; Macintyre, Ellaway, & Cummins, 2002; Williams, 1999). Historically these conceptual frameworks have formed a solid foundation upon which science has been built. Upon review of these frameworks, it is possible to make at least three general observations. The first is the lack of depth to which they integrate our present understanding of the biology of disease, particularly at the cellular and molecular levels. With the exception of those pathways based on stress (neuroimmunological) mechanisms, the published frameworks in the behavioral sciences and epidemiological literature largely lack clearly stated, causal biologic connections to observed health outcomes (Acheson; Adler & Ostrove; Evans & Stoddart, 1990; LaLonde, 1981; Macintyre; Williams). On the other hand, the biologically oriented formulations poorly account for socioenvironmental and behavioral effect modifiers that may affect the pathogenesis of disease and the development of health disparities (Burger & Gimelfarb, 1999; Meyer & Breitner, 1998; Phillips & Belknap, 2002; Sharma, 1998).

Original languageEnglish (US)
Title of host publicationeHealth Solutions for Healthcare Disparities
PublisherSpringer New York
Pages129-144
Number of pages16
ISBN (Print)9780387728148
DOIs
StatePublished - Dec 1 2008

ASJC Scopus subject areas

  • Medicine(all)

Fingerprint

Dive into the research topics of 'Beyond traditional paradigms in disparities research'. Together they form a unique fingerprint.

Cite this