Health Education Research Advance Access originally published online on October 31, 2006
Health Education Research 2006 21(Supplement 1):i121-i124; doi:10.1093/her/cyl141
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© 2006 The Author(s).
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Improving measurement methods for behavior change interventions: opportunities for innovation
1 Klein Buendel, Inc., 1667 Cole Boulevard, Suite 225, Golden, CO 80401, USA
2 Health Behavior and Health Education School of Public Health, University of Michigan, Ann Arbor, MI, USA
3 Department of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, USA
* Correspondence to: A. L. Dunn. E-mail: adunn@kleinbuendel.com
| The first 150 words of the full text of this article appear below. |
Theoretically based behavioral interventions have demonstrated effectiveness in stopping smoking, increasing physical activity and improving nutrition in order to prevent major chronic diseases such as cardiovascular disease, cancer and diabetes [17]. Despite the development of effective behavior change programs, the magnitude of change in these behaviors has been relatively modest [8, 9]. The rising rates of diabetes and obesity, for example, indicate there is still much to learn about the mechanisms of behavior change and how to maintain newly acquired behavioral skills. One problem that has slowed behavioral intervention research is that the validity and reliability of our measures has sometimes lagged other innovations such as the development of effective tailored interventions [10, 11] or analytical techniques for assessing moderators and mediators of behavior change, hence making it difficult to understand the mechanisms of behavior change and making it difficult