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Psychometric Evaluation of the Relapse Situation Efficacy Questionnaire in a Weight Loss Treatment Study

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We assessed the psychometric properties of the Relapse Situation Efficacy Questionnaire ‐ Weight (RSEQ-W) including internal consistency reliability, criterion-related validity (concurrent and predictive validity) and construct validity (convergent validity and factor analysis).


We administered the RSEQ-W at baseline, and at 6 and 12 months in a 12-month prospective behavioral weight loss study. Spearman correlations were used to examine the convergent and concurrent validity; multivariate linear regression was used to assess the predictive validity; exploratory factor analysis was conducted using principal component analysis.


The sample (N = 148) was 90.5% women and 81.1% white with a mean body mass index of 34.1 ± 4.6 kg/m2. The RSEQ-W showed good internal consistency (Cronbach’s α = .95) and convergent validity (r = .69). PCA results revealed that the 31 items can be factored into 6 components negative affect, positive affect, social occasions, low focus, activity andlack of energy.


These results provide preliminary support for the reliability and validity of the RSEQ-W. Future work needs to apply RSEQ-W in studies with larger and more diverse samples and also consider adding more items to the factor lack of energy.
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Keywords: abstinence self-efficacy; diet; lapse; physical activity; weight loss

Document Type: Research Article

Publication date: 01 July 2018

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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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