ArticleInternational journal of environmental research and public health2021
Translation of the Weight-Related Behaviours Questionnaire into a Short-Form Psychosocial Assessment Tool for the Detection of Women at Risk of Excessive Gestational Weight Gain.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Trial
- The influence of disordered eating and social media's portrayals of pregnancy on young women's attitudes toward pregnancy.BMC women's health · 2023Trial
- Interpretable machine-learning model to accurately identify women at risk of excessive gestational weight gain.Frontiers in public health · 2026Observational
- Article
- The 11-Item Weight-Related Behaviours Questionnaire-Short Form (WRB-Q-SF): New Psychometric Evidence for the Arabic Version in Pregnant Women.International journal of women's health · 2025Article
- Eating Habits Related to Pregnancy, Body Perception, Attractiveness and Self-Confidence.Healthcare (Basel, Switzerland) · 2024Article
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The identification and measurement of psychosocial factors that are specific to pregnancy and relevant to gestational weight gain is a challenging task. Given the general lack of availability of pregnancy-specific psychosocial assessment instruments, the aim of this study was to develop a short-form psychosocial assessment tool for the detection of women at risk of excessive gestational weight gain with research and clinical practice applications. A staged scale reduction analysis of the weight-related behaviours questionnaire was conducted amongst a sample of 159 Australian pregnant women participating in the Women and Their Children's Health (WATCH) pregnancy cohort study. Exploratory factor analysis, univariate logistic regression, and item response theory techniques were used to derive the minimum and most predictive questions for inclusion in the short-form assessment tool. Of the total 49 questionnaire items, 11 items, all 4 body image items, n = 4 attitudes towards weight gain, and n = 3 self-efficacy items, were retained as the strongest predictors of excessive gestational weight gain. These within-scale items were highly correlated, exhibiting high item information function value statistics, and were observed to have high probability (
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Registered trials
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