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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

Author

Listed:
  • Shanna Fealy

    (School of Nursing, Paramedicine, and Healthcare Sciences, Faculty of Science and Health, Charles Sturt University, 7 Major Innes Road, Port Macquarie, NSW 2444, Australia
    School of Medicine and Public Health, College of Health and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
    Hunter Medical Research Institute, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia)

  • Lucy Leigh

    (Hunter Medical Research Institute, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia)

  • Michael Hazelton

    (School of Nursing, Paramedicine, and Healthcare Sciences, Faculty of Science and Health, Charles Sturt University, 7 Major Innes Road, Port Macquarie, NSW 2444, Australia
    Hunter Medical Research Institute, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia
    School of Nursing and Midwifery, College of Health and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia)

  • John Attia

    (School of Medicine and Public Health, College of Health and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
    Hunter Medical Research Institute, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia)

  • Maralyn Foureur

    (School of Nursing and Midwifery, College of Health and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
    Hunter New England Health Nursing and Midwifery Research Centre, Newcastle, NSW 2300, Australia)

  • Christopher Oldmeadow

    (Hunter Medical Research Institute, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia)

  • Clare E. Collins

    (Hunter Medical Research Institute, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia
    School of Health Sciences, College of Health and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia)

  • Roger Smith

    (School of Medicine and Public Health, College of Health and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
    Hunter Medical Research Institute, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia
    Department of Endocrinology, John Hunter Hospital, Newcastle, NSW 2305, Australia)

  • Alexis J. Hure

    (School of Medicine and Public Health, College of Health and Wellbeing, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
    Hunter Medical Research Institute, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia)

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 ( 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.

Suggested Citation

  • Shanna Fealy & Lucy Leigh & Michael Hazelton & John Attia & Maralyn Foureur & Christopher Oldmeadow & Clare E. Collins & Roger Smith & Alexis J. Hure, 2021. "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," IJERPH, MDPI, vol. 18(18), pages 1-13, September.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:18:p:9522-:d:632309
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    References listed on IDEAS

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    1. Holly Ockenden & Katie Gunnell & Audrey Giles & Kara Nerenberg & Gary Goldfield & Taru Manyanga & Kristi Adamo, 2016. "Development and Preliminary Validation of a Comprehensive Questionnaire to Assess Women’s Knowledge and Perception of the Current Weight Gain Guidelines during Pregnancy," IJERPH, MDPI, vol. 13(12), pages 1-18, November.
    2. Devine, Carol M. & Bove, Caron F. & Olson, Christine M., 2000. "Continuity and change in women's weight orientations and lifestyle practices through pregnancy and the postpartum period: the influence of life course trajectories and transitional events," Social Science & Medicine, Elsevier, vol. 50(4), pages 567-582, February.
    3. Hofstetter, C. R. & Sallis, J. F. & Hovell, M. F., 1990. "Some health dimensions of self-efficacy: Analysis of theoretical specificity," Social Science & Medicine, Elsevier, vol. 31(9), pages 1051-1056, January.
    4. Vibha Kaushik & Christine A. Walsh, 2019. "Pragmatism as a Research Paradigm and Its Implications for Social Work Research," Social Sciences, MDPI, vol. 8(9), pages 1-17, September.
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