Short-term weight loss patterns, baseline predictors, and longer-term follow-up within a randomized controlled trial.
Bottom Line: Discriminant analysis identified baseline characteristics that best differentiated between clusters.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.
Affiliation: Department of Medicine, Stanford University School of Medicine, California, USA; Department of Health Services Research, Palo Alto Medical Foundation Research Institute, California, USA.Show MeSH
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Mentions: Discriminant analysis identified two statistically significant combinations of the eight candidate variables–i.e., dimensions–that differentiated between weight loss patterns, with Dimension 1 differentiating more between clusters than Dimension 2 (Table 3 and Figure 3). On Dimension 1, baseline characteristics with standardized canonical coefficients of greatest magnitude were friend encouragement for dietary change (0.66), obesity-related problems (0.53), physical activity (–0.41), and physical well-being (–0.40). On Dimension 2, characteristics with the coefficients of greatest magnitude were physical activity (0.58), family encouragement for dietary change (0.57), depression symptoms (0.54), and body size dissatisfaction (0.40).
Affiliation: Department of Medicine, Stanford University School of Medicine, California, USA; Department of Health Services Research, Palo Alto Medical Foundation Research Institute, California, USA.