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Weight Loss Motivations: A Latent Class Analysis Approach

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Objective: To identify subgroups of adults with respect to weight loss motivations and assess factors associated with subgroup membership. Method: A cross-sectional survey among 414 overweight/ obese employees in 12 Massachusetts high schools was conducted. Latent class analysis (LCA) defined distinct weight loss motivation classes. Multinomial logistic regression assessed participant characteristics with class membership. Results: Three classes emerged: improving health; improving health and looking/feeling better; and improving health, looking/feeling, better and improving personal/social life. Compared to class 1, class 2 was more likely to be female and younger and class 3 was more likely to be female, younger, have children at home, and perceive themselves as very over-weight. Conclusions: Findings can inform targeted weight loss interventions.
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Keywords: DIET; PHYSICAL ACTIVITY; WEIGHT LOSS; WORKSITE

Document Type: Research Article

Affiliations: 1: University of Massachusetts Medical School, Division of Preventive and Behavioral Medicine, Worcester, MA, USA. [email protected] 2: Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA 3: University of Massachusetts Medical School, Division of Preventive and Behavioral Medicine, Worcester, MA, USA 4: The Winstar Institute, Molecular and Cellular Oncogenesis Program, Philadelphia, PA, USA 5: University of Massachusetts Medical School, Worcester, MA, USA

Publication date: 01 July 2014

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  • The American Journal of Health Behavior seeks to improve the quality of life through multidisciplinary health efforts in fostering a better understanding of the multidimensional nature of both individuals and social systems as they relate to health behaviors.

    The Journal aims to provide a comprehensive understanding of the impact of personal attributes, personality characteristics, behavior patterns, social structure, and processes on health maintenance, health restoration, and health improvement; to disseminate knowledge of holistic, multidisciplinary approaches to designing and implementing effective health programs; and to showcase health behavior analysis skills that have been proven to affect health improvement and recovery.

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