4.7 Article

Initial weight loss and early intervention adherence predict long-term weight loss during the Promoting Successful Weight Loss in Primary Care in Louisiana lifestyle intervention

Journal

OBESITY
Volume 31, Issue 9, Pages 2272-2282

Publisher

WILEY
DOI: 10.1002/oby.23854

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This study examined the relationship between initial weight change (WC), self-weighing, adherence to the expected WC trajectory, and longer-term WC in an underserved primary-care population with obesity. The results showed that percentage WC during the initial weeks predicted WC at 6, 12, and 24 months, and self-weighing and adherence to the expected WC trajectory improved WC prediction.
ObjectiveThis study tested whether initial weight change (WC), self-weighing, and adherence to the expected WC trajectory predict longer-term WC in an underserved primary-care population with obesity. MethodsData from the intervention group (n = 452; 88% women; 74% Black; BMI 37.3 kg/m(2) [SD: 4.6]) of the Promoting Successful Weight Loss in Primary Care in Louisiana trial were analyzed. Initial (2-, 4-, and 8-week) percentage WC was calculated from baseline clinic weights and daily at-home weights. Weights were considered adherent if they were on the expected WC trajectory (10% at 6 months with lower [7.5%] and upper [12.5%] bounds). Linear mixed-effects models tested whether initial WC and the number of daily and adherent weights predicted WC at 6, 12, and 24 months. ResultsPercentage WC during the initial 2, 4, and 8 weeks predicted percentage WC at 6 (R-2 = 0.15, R-2 = 0.28, and R-2 = 0.50), 12 (R-2 = 0.11, R-2 = 0.19, and R-2 = 0.32), and 24 (R-2 = 0.09, R-2 = 0.11, and R-2 = 0.16) months (all p < 0.01). Initial daily and adherent weights were significantly associated with WC as individual predictors, but they only marginally improved predictions beyond initial weight loss alone in multivariable models. ConclusionsThese results highlight the importance of initial WC for predicting long-term WC and show that self-weighing and adherence to the expected WC trajectory can improve WC prediction.

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