title: The weight management strategies inventory (WMSI). Development of a new measurement instrument, construct validation, and association with dieting success.
abstract: In an obesogenic environment, people have to adopt effective weight management strategies to successfully gain or maintain normal body weight. Little is known about the strategies used by the general population in daily life. Due to the lack of a comprehensive measurement instrument to assess conceptually different strategies with various scales, we developed the weight management strategies inventory (WMSI). In study 1, we collected 19 weight management strategies from research on self-regulation of food intake and successful weight loss and maintenance, as well as from expert interviews. We classified them under the five main categories of health self-regulation strategies - goal setting and monitoring, prospection and planning, automating behavior, construal, and inhibition. We formulated 93 items. In study 2, we developed the WMSI in a random sample from the general population (N = 658), using reliability and exploratory factor analysis. This resulted in 19 factors with 63 items, representing the 19 strategies. In study 3, we tested the 19-factor structure in a quota (age, gender) sample from the general population (N = 616), using confirmatory factor analysis. A good model fit (CFI = .918; RMSEA = .043) was revealed. Reliabilities and construct validity were high. Positive correlations of most strategies with dieting success and negative correlations of some strategies with body mass index were found among dieters (N = 292). Study 4 (N = 162) revealed a good test-retest reliability. The WMSI assesses theoretically derived, evidence-based, and conceptually different weight management strategies with different scales that have good psychometric characteristics. The scales can also be used for pre- and post measures in intervention studies. The scales provide insights into the general population's weight management strategies and facilitate tailoring and evaluating health communication.
authors.affiliation: Institute for Health Sciences and Technology, Consumer Behavior, ETH Zurich, Switzerland. Electronic address: ckeller@ethz.ch.
authors.forename: Carmen
authors.initials: C
authors.lastname: Keller
authors.affiliation: Institute for Health Sciences and Technology, Consumer Behavior, ETH Zurich, Switzerland.
authors.forename: Michael
authors.initials: M
authors.lastname: Siegrist
mesh_terms: D001521:Behavior Therapy; D003131:Combined Modality Therapy; D003430:Cross-Sectional Studies; D004038:Diet, Reducing; D005163:Factor Analysis, Statistical; D005260:Female; D006040:Goals; D006801:Humans; D008297:Male; D008875:Middle Aged; D008960:Models, Psychological; D009043:Motor Activity; D050177:Overweight / Q000178:diet therapy / Q000517:prevention & control* / Q000628:therapy; D010349:Patient Compliance; D012648:Self Care; D057566:Self Report; D000068356:Self-Control; D013557:Switzerland; D015431:Weight Loss
keywords: Behavioral strategies; Dieting success; Mental strategies; New scale; Weight management