The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Interdisciplinarity and Systems Science to Improve Population Health
Open accessAbstract
Fueled by the rapid pace of discovery, humankind's ability to understand the ultimate causes of preventable common disease burdens and to identify solutions is now reaching a revolutionary tipping point. Achieving optimal health and well-being for all members of society lies as much in the understanding of the factors identified by the behavioral, social, and public health sciences as by the biological ones. Accumulating advances in mathematical modeling, informatics, imaging, sensor technology, and communication tools have stimulated several converging trends in science: an emerging understanding of epigenomic regulation; dramatic successes in achieving population health-behavior changes; and improved scientific rigor in behavioral, social, and economic sciences. Fostering stronger interdisciplinary partnerships to bring together the behavioral–social–ecologic models of multilevel “causes of the causes” and the molecular, cellular, and, ultimately, physiological bases of health and disease will facilitate breakthroughs to improve the public's health. The strategic vision of the Office of Behavioral and Social Sciences Research (OBSSR) at the National Institutes of Health (NIH) is rooted in a collaborative approach to addressing the complex and multidimensional issues that challenge the public's health. This paper describes OBSSR's four key programmatic directions (next-generation basic science, interdisciplinary research, systems science, and a problem-based focus for population impact) to illustrate how interdisciplinary and transdisciplinary perspectives can foster the vertical integration of research among biological, behavioral, social, and population levels of analysis over the lifespan and across generations. Interdisciplinary and multilevel approaches are critical both to the OBSSR's mission of integrating behavioral and social sciences more fully into the NIH scientific enterprise and to the overall NIH mission of utilizing science in the pursuit of fundamental knowledge about the nature and behavior of living systems and the application of that knowledge to extend healthy life and reduce the burdens of illness and disability.
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Cites
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011
An ecological perspective on health promotion programs
McLeroy, K. R., Bibeau, D., Steckler, A., & Glanz, K. (1988) · Health Education Quarterly · doi:10.1177/109019818801500401 · Cited by 8,502
Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene
Caspi, A., Sugden, K., Moffitt, T. E., Taylor, A., Craig, I. W., Harrington, H., McClay, J., Mill, J., Martin, J., Braithwaite, A., et al. (2003) · Science · doi:10.1126/science.1083968 · Cited by 8,120
Chronic stress promotes tumor growth and angiogenesis in a mouse model of ovarian carcinoma
Thaker, P. H., Han, L. Y., Kamat, A. A., Arevalo, J. M., Takahashi, R., Lu, C., Jennings, N. B., Armaiz-Pena, G., Bankson, J. A., Ravoori, M., et al. (2006) · Nature Medicine · doi:10.1038/nm1447 · Cited by 1,320
The influence of bio-behavioural factors on tumour biology: pathways and mechanisms
Antoni, M. H., Lutgendorf, S. K., Cole, S. W., Dhabhar, F. S., Sephton, S. E., McDonald, P. G., Stefanek, M., & Sood, A. K. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1820 · Cited by 981
Meaney, M. J., & Szyf, M. (2005) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2005.7.2/mmeaney · Cited by 958
Depression and cancer: mechanisms and disease progression
Spiegel, D., & Giese-Davis, J. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(03)00566-3 · Cited by 874
(2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.10.1132 · Cited by 752
Maternal programming of steroid receptor expression and phenotype through DNA methylation in the rat
Szyf, M., Weaver, I. C. G., Champagne, F. A., Diorio, J., & Meaney, M. J. (2005) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2005.10.002 · Cited by 348
Kerner, J., Rimer, B., & Emmons, K. (2005) · Health Psychology · doi:10.1037/0278-6133.24.5.443 · Cited by 286
Cited by
Design and methods of the Population Assessment of Tobacco and Health (PATH) Study
Hyland, A., Ambrose, B. K., Conway, K. P., Borek, N., Lambert, E., Carusi, C., Taylor, K., Crosse, S., Fong, G. T., Cummings, K. M., et al. (2017) · Tobacco Control · doi:10.1136/tobaccocontrol-2016-052934 · Cited by 872
Self-citationHarvey, A. G., Bélanger, L., Talbot, L., Eidelman, P., Beaulieu-Bonneau, S., Fortier-Brochu, É., Ivers, H., Lamy, M., Hein, K., Soehner, A. M., et al. (2014) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0036606 · Cited by 215
Brown, C. H., Kellam, S. G., Kaupert, S., Muthén, B. O., Wang, W., Muthén, L. K., Chamberlain, P., PoVey, C. L., Cady, R., Valente, T. W., et al. (2012) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-011-0387-3 · Cited by 68
Brown, C. H., Mohr, D. C., Gallo, C. G., Mader, C., Palinkas, L., Wingood, G., Prado, G., Kellam, S. G., Pantin, H., Poduska, J., et al. (2013) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0b013e31829372bd · Cited by 55
Batchelder, A. W., Gonzalez, J. S., Palma, A., Schoenbaum, E., & Lounsbury, D. W. (2015) · American Journal of Community Psychology · doi:10.1007/s10464-015-9750-y · Cited by 50
Metadata
- Authors
- Mabry, P. L., Olster, D. H., Morgan, G. D., & Abrams, D. B.
- Venue
- American Journal of Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2008-08
- Volume
- 35
- Issue
- 2
- Pages
- S211-S224
- ISSN
- 0749-3797 (ISSN-L)
- OpenAlex
- W2147548904
- Cited by
- 292
- References
- 11
- FWCI
- 38.27
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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