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Content

Short-term weight loss patterns, baseline predictors, and longer-term follow-up within a randomized controlled trial.

Description

Yank V, Xiao L, Wilson SR, Stafford RS, Rosas LG, Ma J., Obesity (Silver Spring). 22(1):45-51. doi: 10.1002/oby.20510. Epub 2013 Oct 15., 2014 Jan 01

Abstract

OBJECTIVE: To examine weight loss patterns and predictors among participants in a primary care-based translation study of the Diabetes Prevention Program lifestyle intervention.

DESIGN AND METHODS: Cluster analysis identified short-term (12-week) weight loss patterns among 72 intervention participants. Analysis of variance assessed cluster differences in weight loss maintenance at 15-month follow-up. Discriminant analysis identified baseline characteristics that best differentiated between clusters.

RESULTS: Participants had baseline mean (SD) age of 55.0 (10.8) years and BMI of 31.9 (5.2) kg/m(2). Cluster analysis identified three short-term weight loss patterns: modest (n = 15; 21%), moderate-and-steady (n = 43; 60%), and substantial-and-early (n = 14; 19%). Only participants with the latter two patterns achieved clinically significant (≥5%) short-term weight loss and maintained it at 15 months. On discriminant analysis, the modest cluster was most differentiated from other clusters by high friend encouragement for dietary change, high obesity-related problems, and low physical well-being. The moderate-and-steady cluster was differentiated by lower physical activity, family encouragement, and depression symptoms.

CONCLUSION: Results provided insight into the heterogeneity of response to an effective lifestyle intervention by identifying short-term weight loss patterns and their baseline predictors and relationship to 15-month success. If replicated, results may help tailor strategies for participant subgroups in weight-loss programs.

Pubmed Abstract

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Associated Topics

  • Diabetes, Insulin Resistance and Metabolic Syndrome
  • Disease Management
  • Health Services
  • Obesity

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