Applying the Behavior Change Technique Taxonomy has the potential to facilitate identification of effective childhood obesity intervention components. This article evaluates the feasibility of coding Childhood Obesity Prevention and Treatment Consortium interventions and compares reliability between external taxonomy-familiar coders and internal intervention-familiar coders. After training, coder pairs independently coded prespecified portions of intervention materials. An adjudication process was used to explore coding discrepancies. Reliability between internal and external coders was moderate (prevalence and bias-adjusted kappa.38 to.55). Reliability for specific target behaviors varied with substantial agreement for physical activity (.63 to.76) and moderate for dietary intake (.44 to.63). Applying the taxonomy to these interventions was feasible, but agreement was modest. Coding discrepancies highlight the importance of refining coding to capture the complexities of childhood obesity interventions, which often engage multiple recipients (e.g., parents and/or children) and address multiple behaviors (e.g., diet, physical activity, screen time).
Bibliographical noteFunding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by the National Institutes of Health Grant numbers: U01 HL103561, U01 HL103620, U01 HL103622, U01 HL103629, and U01 HD068890. Trials were registered on ClinicalTrials.gov (NCT01606891, NCT01514279, NCT01316653, and NCT01642836). The content expressed in this article is solely the responsibility of the authors and does not necessarily represent the official views of the National Heart, Lung, And Blood Institute, the Eunice Kennedy Shriver National Institute of Child Health and Human Development, the National Institutes of Health, or the U.S. Department of Health and Human Services.
- behavior change interventions
- childhood obesity
- intervention design
- intervention measurement
PubMed: MeSH publication types
- Journal Article