1. Quantity and specificity of action-plans as predictors of weight loss: analysis of data from the Norfolk Diabetes Prevention Study (NDPS).
- Author
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Garner, Nikki J., Smith, Jane R., Sampson, Mike J., and Greaves, Colin J.
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STATISTICS , *MULTIVARIATE analysis , *TYPE 2 diabetes , *RANDOMIZED controlled trials , *T-test (Statistics) , *HEALTH behavior , *WEIGHT loss , *DESCRIPTIVE statistics , *DATA analysis software , *BEHAVIOR modification , *HEALTH promotion , *LONGITUDINAL method - Abstract
Investigate associations between quantity, content and specificity of action-plans and weight loss in a diabetes prevention study. Prospective cohort study nested within a randomised controlled trial. Participants completed action-planning worksheets during intervention sessions. Action-plans were coded in terms of: number of plans set, their content, and specificity. Multivariate regression analyses assessed associations with weight loss at four-months. 890 planning-worksheets from 106 participants were analysed. Participants wrote a mean of 2.12 (SD = 1.20) action-plans per worksheet, using a mean of 2.20 (SD = 0.68) specificity components per action-plan. Quantity of action-plans per worksheet decreased over time (r = −0.137, p < 0.001) and increased quantity was associated with reduced specificity [r = −.215, p < 0.001]. Walking (34.9% of action-plans) and reducing high fat/sugar snacks (26.1%) were the most commonly planned lifestyle actions. In multivariate modelling, increased quantity of action-plans was associated with greater weight loss (R2 = 0.135, Unstandardised Beta = 0.144, p = 0.002). Specificity was not significantly associated with weight-loss (p = 0.096). Producing more action-plans was associated with greater weight loss. Further research should directly compare more versus less specific action-plans and explore ways to sustain engagement in action-planning. Our findings imply that participants should freely set numerous action-plans, rather than being encouraged to focus on specificity Supplemental data for this article is available online at https://doi.org/10.1080/08870446.2022.2055026. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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