Weight loss motivations: a latent class analysis approachUniversity of Massachusetts Medical School Faculty Publications
UMMS AffiliationDepartment of Medicine, Division of Preventive and Behavioral Medicine
SubjectsAdult; Body Mass Index; Cross-Sectional Studies; Female; Humans; Logistic Models; Male; Middle Aged; *Motivation; Odds Ratio; Overweight; *Weight Loss
AbstractOBJECTIVE: 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.
Rights and PermissionsCitation: Am J Health Behav. 2014 Jul;38(4):605-13. doi: 10.5993/AJHB.38.4.14. Link to article on publisher's site
Related ResourcesLink to Article in PubMed
Citation InformationStephenie C. Lemon, Kristin L. Schneider, Monica L. Wang, Qin Liu, et al.. "Weight loss motivations: a latent class analysis approach" Vol. 38 Iss. 4 (2014) ISSN: 1087-3244 (Linking)
Available at: http://works.bepress.com/stephenie_lemon/81/