The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Theory-comparison and multiple-behavior research: common themes advancing health behavior research
Open accessAbstract
Research that seeks to compare and contrast theories of behavior change and assess the utility of a particular theoretical model for changing two or more health-related behaviors is critical to advancing health behavior research. Theory-comparison can help us learn more about the processes by which people change and maintain health behaviors than does study of any single theory alone and thus has the potential to better guide the development of intervention. Multiple-behavior interventions promise to have much greater impact on public health than single-behavior interventions. However, theory-comparison and multiple-behavior research presents several emerging challenges. These include finding new ways to enhance recruitment and retention, especially among diverse populations; improving treatment fidelity; developing common metrics across behaviors that can be used to advance the measurement and assessment of behavioral change; and expanding the reach and translation of intervention approaches that have demonstrated efficacy. This paper discusses the rationale for conducting theory-comparison and multiple-behavior research and presents several common themes that have emerged from the work of the National Institutes of Health Behavior Change Consortium (BCC). The activities of each BCC workgroup and the potential contribution of each to these common themes to advance health behavior research are also described.
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Citations
Cites
In search of how people change: Applications to addictive behaviors.
Prochaska, J. O., DiClemente, C. C., & Norcross, J. C. (1992) · American Psychologist · doi:10.1037/0003-066x.47.9.1102 · Cited by 8,596
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
Evaluating the public health impact of health promotion interventions: the RE-AIM framework.
Glasgow, R. E., Vogt, T. M., & Boles, S. M. (1999) · American Journal of Public Health · doi:10.2105/ajph.89.9.1322 · Cited by 7,217
Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control
Ajzen, I., & Madden, T. J. (1986) · Journal of Experimental Social Psychology · doi:10.1016/0022-1031(86)90045-4 · Cited by 5,718
Treatment fidelity in outcome studies
Moncher, F. J., & Prinz, R. J. (1991) · Clinical Psychology Review · doi:10.1016/0272-7358(91)90103-2 · Cited by 797 · cited 2×
“Treatment fidelity involves both treatment integrity (the degree to which a treatment condition is implemented as intended) and treatment differentiation (whether the treatment conditions differ from one another as intended) (Moncher and Prinz, 1991).”
BackgroundMethodStages of Change Across Ten Health Risk Behaviors for Older Adults
Nigg, C. R., Burbank, P. M., Padula, C., Dufresne, R., Rossi, J. S., Velicer, W. F., Laforge, R. G., & Prochaska, J. O. (1999) · The Gerontologist · doi:10.1093/geront/39.4.473 · Cited by 236
Self-citationInteractive communication strategies Implications for population-based physical-activity promotion
Marcus, B. (2000) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(00)00186-0 · Cited by 170 · cited 1×
“intervention impact recruitment retention efficacy (Marcus et al., 2000).”
Cited by
Cane, J., O’Connor, D., & Michie, S. (2012) · Implementation Science · doi:10.1186/1748-5908-7-37 · Cited by 4,888
“theories with overlapping theoretical constructs [11,12].”
Bellg, A. J., Treatment Fidelity Workgroup of the NIH Behavior Change Consortium, Borrelli, B., Resnick, B., Hecht, J., Minicucci, D. S., Ory, M., Ogedegbe, G., Orwig, D., Ernst, D., et al. (2004) · Health Psychology · doi:10.1037/0278-6133.23.5.443 · Cited by 2,620
Davis, R., Campbell, R., Hildon, Z., Hobbs, L., & Michie, S. (2015) · Health Psychology Review · doi:10.1080/17437199.2014.941722 · Cited by 1,411
Ryan, P., & Sawin, K. J. (2009) · Nursing Outlook · doi:10.1016/j.outlook.2008.10.004 · Cited by 865
Noar, S. M., & Zimmerman, R. S. (2005) · Health Education Research · doi:10.1093/her/cyg113 · Cited by 793
Metadata
- Authors
- Nigg, C. R.
- Venue
- Health Education Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2002-10-01
- Volume
- 17
- Issue
- 5
- Pages
- 670-679
- ISSN
- 0268-1153 (ISSN-L)
- 1465-3648
- OpenAlex
- W2134377612
- Cited by
- 279
- References
- 7
- FWCI
- 11.46
- Type
- journal article
- Language
- en
- Open access
- bronze
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