Journal article
The study of group-level factors in epidemiology: rethinking variables, study designs, and analytical approaches
Epidemiologic reviews, v 26(1), pp 104-111
Jul 2004
PMID: 15234951
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A key notion that has received much attention in epidemiology over the past few years has been that not all disease determinants can be conceptualized as individual-level attributes, hence the need to consider features of the groups to which individuals belong when studying the causes of ill health. This has led epidemiologists and public health researchers to rethink the ideas on ecologic studies and ecologic variables traditionally espoused in epidemiology (1–6). This reconceptualization of ecologic or group-level variables has been manifested, for example, in recent interest and debate on the possible health effects of group-level constructs, such as income inequality (7, 8), social capital (9, 10), and neighborhood characteristics (11–14). In this context, the advent of the statistical technique of multilevel models has been viewed as especially promising because of its ability to incorporate both group-level and individual-level predictors in the study of health (4, 15–17).
Metrics
Details
- Title
- The study of group-level factors in epidemiology: rethinking variables, study designs, and analytical approaches
- Creators
- Ana V Diez Roux (Corresponding Author) - University of Michigan
- Publication Details
- Epidemiologic reviews, v 26(1), pp 104-111
- Publisher
- Oxford University Press
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative; Epidemiology and Biostatistics
- Web of Science ID
- WOS:000222399300010
- Scopus ID
- 2-s2.0-3042848980
- Other Identifier
- 991020112026204721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Public, Environmental & Occupational Health