Impact of a Weight Management Intervention on Eating Competence: Importance of Measurement Interval in Protocol Design

Author:

Lohse Barbara12,Krall Jodi Stotts3,Psota Tricia4,Kris-Etherton Penny2

Affiliation:

1. Wegmans School of Health and Nutrition, Rochester Institute of Technology, Rochester, NY, USA

2. Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, USA

3. University of Pittsburgh Medical Center, Pittsburgh, PA, USA

4. USDA Center for Nutrition Policy and Promotion, Alexandria, VA, USA

Abstract

Purpose: To examine changes in eating competence (EC) in 12-month weight loss intervention. Design: Randomized, parallel-arm with weight loss phase (baseline to month 4) and weight-maintenance phase (months 4-12). Setting: Face-to-face in University classrooms, supervised and self-directed fitness sessions at University fitness center, and home. Participants: Premenopausal, mostly college-educated Pennsylvania women, body mass index >25 (n = 101). Intervention: Twenty-eight, 1-hour classes tailored for extremes of the Dietary Guidelines’ fat recommendations, based on social cognitive theory, problem-based learning delivery over 12 months. Exercise component included supervised and self-directed stretching, aerobics, and strength training. Measures: Anthropometrics, lipid profile, blood pressure, 24-hour dietary recalls, cognitive behavioral measures, Satter Eating Competence Inventory (ecSI). Analysis: General linear model repeated measures analysis of variance for outcome variables. Results: A total of 40% (n = 40) completed the ecSI. Overall, education and supervised exercise session attendance were 77% and 88%, respectively. Similar weight loss for lower and moderate fat groups (6.7 kg and 5.4 kg). The EC was unchanged baseline to month 4 but increased significantly from months 4 to 12, baseline to month 12 for both groups. The EC change baseline to month 12 was inversely associated with weight change from baseline to months 4 and 12. Conclusion: Weight management interventions, likely to introduce concerns with eating attitudes, behaviors, and foods, can reduce EC. Short-term measurement of EC change captures these consequent adjustments without opportunity to regain self-efficacy. Extending the measurement interval better reflects intervention impact on EC.

Publisher

SAGE Publications

Subject

Public Health, Environmental and Occupational Health,Health (social science)

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