Literature DB >> 10941605

Psychometric development of a multidimensional measure of weight-related attitudes and behaviors.

C F Smith1, D A Williamson, L G Womble, J Johnson, L E Burke.   

Abstract

Most weight control programs facilitate weight loss by encouraging participants to adopt healthy eating patterns and increase physical activity. There is a need for a relatively brief measure of eating habits and physical activity that could be used to evaluate changes in behavior during weight loss treatment. The purpose of this series of four studies was to develop and validate such a measure, which was subsequently named the Weight Loss Behavior Scale (WLBS). Study 1 (n = 533) included item and scale development and examination of the WLBS's factor structure and internal consistency. Study 2 (n = 226) evaluated the test-retest reliability and convergent validity of its subscales. Study 3 examined their reliability and internal consistency scales in a predominantly overweight sample (n = 36). Study 4 evaluated the WLBS as a treatment outcome measure in a weight loss intervention (n = 50). Study 1 found that the WLBS contained five internally consistent and stable factors: 1) Concern with Dieting and Weight, 2) Exercise, 3) Overeating, 4) Avoidance of Fattening Foods and Sweets, and 5) Emotional Eating. Study 2 found convergent validity for the WLBS by assessing the correlation of its factors/scales with established inventories of comparable constructs, e.g., dietary restraint, disinhibited eating, and physical activity. Test-retest reliability of the five scales was also supported in this second study. In Study 3, support for the internal consistency and test-retest reliability of the WLBS among overweight individuals was found. Study 4 found that all scales significantly changed in the expected directions after a 5-month behavioral weight loss treatment. The findings from this series of studies suggest that the WLBS is a reliable and valid self-report inventory of cognitive and behavioral scales associated with weight control that can be utilized as an outcome measure for weight loss interventions.

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Year:  2000        PMID: 10941605     DOI: 10.1007/bf03327482

Source DB:  PubMed          Journal:  Eat Weight Disord        ISSN: 1124-4909            Impact factor:   4.652


  34 in total

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Authors:  J Westenhoefer; P Broeckmann; A K Münch; V Pudel
Journal:  Appetite       Date:  1994-08       Impact factor: 3.868

5.  A longitudinal analysis of the impact of dietary intake and physical activity on weight change in adults.

Authors:  R C Klesges; L M Klesges; C K Haddock; L H Eck
Journal:  Am J Clin Nutr       Date:  1992-04       Impact factor: 7.045

6.  Sex differences among participants in a weight-control program.

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Journal:  Addict Behav       Date:  1994 Mar-Apr       Impact factor: 3.913

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Journal:  Am J Clin Nutr       Date:  1981-08       Impact factor: 7.045

Review 8.  Psychological aspects of severe obesity.

Authors:  A J Stunkard; T A Wadden
Journal:  Am J Clin Nutr       Date:  1992-02       Impact factor: 7.045

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Journal:  J Psychosom Res       Date:  1985       Impact factor: 3.006

10.  Bias in reported body weight as a function of education, occupation, health and weight concern.

Authors:  R W Jeffery
Journal:  Addict Behav       Date:  1996 Mar-Apr       Impact factor: 3.913

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  4 in total

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Authors:  D A Williamson; P Davis Martin; M A White; R Newton; H Walden; E York-Crowe; A Alfonso; S Gordon; D Ryan
Journal:  Eat Weight Disord       Date:  2005-09       Impact factor: 4.652

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Authors:  Susan B Roberts; Stephen Anton; Maria C Dao
Journal:  Handb Exp Pharmacol       Date:  2022

3.  Readability and comprehension of self-report binge eating measures.

Authors:  Lauren K Richards; R Kathryn McHugh; Elizabeth M Pratt; Heather Thompson-Brenner
Journal:  Eat Behav       Date:  2013-02-26

4.  Motivational interviewing as an intervention to increase adolescent self-efficacy and promote weight loss: methodology and design.

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  4 in total

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