The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Complex Systems Thinking and Current Impasses in Health Disparities Research
Open accessAbstract
Complex systems approaches have received increasing attention in public health because reductionist approaches yield limited insights in the context of dynamic systems. Most discussions have been highly abstract. There is a need to consider the application of complex systems approaches to specific research questions. I review the features of population health problems for which complex systems approaches are most likely to yield new insights, and discuss possible applications of complex systems to health disparities research. I provide illustrative examples of how complex systems approaches may help address unanswered and persistent questions regarding genetic factors, life course processes, place effects, and the impact of upstream policies. The concepts and methods of complex systems may help researchers move beyond current impasse points in health disparities research.
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Citations
Cites
Social conditions as fundamental causes of disease.
Link, B. G., & Phelan, J. (1995) · Journal of Health and Social Behavior · doi:10.2307/2626958 · Cited by 5,722
The Spread of Obesity in a Large Social Network over 32 Years
Christakis, N. A., & Fowler, J. H. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa066082 · Cited by 5,007
The origins of genome complexity
Lynch, M., & Conery, J. S. (2003) · Science · doi:10.1126/science.1089370 · Cited by 1,698
A N EW A PPROACH TO D ECODING L IFE : Systems Biology
Ideker, T., Galitski, T., & Hood, L. (2001) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.2.1.343 · Cited by 1,664
Health disparities and health equity: Concepts and measurement
Braveman, P. (2006) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.27.021405.102103 · Cited by 1,570
Chronic stress and obesity: a new view of “comfort food”
Dallman, M. F., Pecoraro, N., Akana, S. F., la Fleur, S. E., Gomez, F., Houshyar, H., Bell, M. E., Bhatnagar, S., Laugero, K. D., & Manalo, S. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1934666100 · Cited by 1,369
Prisoners of the Proximate: Loosening the Constraints on Epidemiology in an Age of Change
McMichael, A. J. (1999) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a009732 · Cited by 502
Complexity, simplicity, and epidemiology
Pearce, N., & Merletti, F. (2006) · International Journal of Epidemiology · doi:10.1093/ije/dyi322 · Cited by 140 · cited 1×
“These features lead to the emergence of patterns at various scales.(9,23)”
BackgroundChildren's health and social mobility.
Case, A., & Paxson, C. H. (2006) · The Future of Children · doi:10.1353/foc.2006.0014 · Cited by 128
Nonlinearity in the Epidemiology of Complex Health and Disease Processes
Philippe, P., & Mansi, O. (1998) · Theoretical Medicine and Bioethics · doi:10.1023/a:1009979306346 · Cited by 111
Cited by
Racism and health: evidence and needed research
Williams, D. R., Lawrence, J. A., & Davis, B. A. (2019) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040218-043750 · Cited by 2,398
The need for a complex systems model of evidence for public health
Rutter, H., Savona, N., Glonti, K., Bibby, J., Cummins, S., Finegood, D. T., Greaves, F., Harper, L., Hawe, P., Moore, L., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31267-9 · Cited by 1,260
Keyes, K. M., Cerdá, M., Brady, J. E., Havens, J. R., & Galea, S. (2014) · American Journal of Public Health · doi:10.2105/ajph.2013.301709 · Cited by 580
Lifecourse Health Development: Past, Present and Future
Halfon, N., Larson, K., Lu, M., Tullis, E., & Russ, S. (2014) · Maternal and Child Health Journal · doi:10.1007/s10995-013-1346-2 · Cited by 567
Brownson, R. C., Fielding, J. E., & Green, L. W. (2018) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040617-014746 · Cited by 396
Metadata
- Authors
- Diez Roux, A. V.
- Venue
- American Journal of Public Health
- Publisher
- American Public Health Association
- Published
- 2011-09
- Volume
- 101
- Issue
- 9
- Pages
- 1627-1634
- ISSN
- 0090-0036 (ISSN-L)
- 1541-0048
- OpenAlex
- W2002459162
- Cited by
- 436
- References
- 10
- FWCI
- 16.38
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
