Abstract
The National Heart, Lung, and Blood Institute and the National Institutes of Health Office of Disease Prevention convened a meeting on August 29-30, 2013 entitled “Obesity Intervention Taxonomy and Pooled Analysis.” The overarching goals of the meeting were to understand how to decompose interventions targeting behavior change, and in particular, those that focus on obesity and to combine data from groups of related intervention studies to supplement what can be learned from the individual studies. This paper summarizes the workshop recommendations and provides an overview of the two other papers that originated from the workshop and that address decomposition of behavioral change interventions and pooling of data across diverse studies within a consortium.
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Acknowledgments
The three manuscripts described in this journal were supported by the National Heart, Lung, and Blood Institute, the Eunice Kennedy Shriver National Institute of Child Health and Human Development, the NIH Office of Behavioral and Social Science Research, the NIH Office of Disease Prevention, National Institute of Digestive, Diabetes, and Kidney Diseases, National Center for Complementary and Integrative Health, National Cancer Institute, Office of Research on Women’s Health, and the Centers for Disease Control and Prevention (CDC). The findings and conclusions are those of the authors and do not necessarily represent the official position of the National Institutes of Health or the Centers for Disease Control and Prevention.
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Dr. Cella reports funding from the NHLBI. No other authors reported a potential conflict of interest.
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This research did not include human subjects or animals.
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Implications
Researchers: Use the behavioral change techniques (taxonomy approach) that decompose each intervention component and determine intervention dose when combining information from studies that employ similar interventions.
Practitioners: Use information from multiple studies rather than individual studies to provide better information regarding behavior change.
Policymakers: Take advantage of information that comes from several studies for data-driven policy decisions.
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Belle, S.H., Stevens, J., Cella, D. et al. Overview of the obesity intervention taxonomy and pooled analysis working group. Behav. Med. Pract. Policy Res. 6, 244–259 (2016). https://doi.org/10.1007/s13142-015-0365-5
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DOI: https://doi.org/10.1007/s13142-015-0365-5