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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

Bibliographic Data

ID15499403
AuthorsShanna Fealy (0000-0003-4480-605X, Charles Sturt University, corresponding author), Lucy Leigh (0000-0002-5198-8843, Hunter Medical Research Institute), Michael Hazelton (0000-0002-8750-2809, Charles Sturt University), John Attia (0000-0001-9800-1308, Hunter Medical Research Institute), Maralyn Foureur (0000-0002-0454-0165, Hunter New England Local Health District), Christopher Oldmeadow (0000-0001-6104-1322, Hunter Medical Research Institute), Clare E Collins (0000-0003-3298-756X, Hunter Medical Research Institute), Roger Smith (0000-0003-4720-0280, John Hunter Hospital), Alexis Hure (0000-0003-2225-0986, Hunter Medical Research Institute)
Year2021
Volume18
Issue18
Pages9522-9522
Publication date2021-09-09
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph18189522
PMID34574447
OpenAlexW3197553892
LanguageEN
Citations received3
References cited47

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 ( p < 0.05) for excessive gestational weight gain, in the univariate analysis. The short-form questionnaire may assist with the development of tailored health promotion interventions to support women psychologically and physiologically to optimise their pregnancy weight gain. Confirmatory factor analysis is now required

Body weight · Cohort · Confirmatory factor analysis · Exploratory factor analysis · Logistic regression · Multivariate analysis · Multivariate statistics · Pregnancy · Psychiatry · Psychometrics · Psychosocial · Statistics · Structural equation modeling · Univariate · Univariate analysis · Weight gain · Bariatric Surgery and Outcomes · Clinical Psychology · Gestational Diabetes Research and Management · Maternal Mental Health During Pregnancy and Postpartum · Medicine · Psychology

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Unique citing works3
Citations per year3
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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