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A path model of psychosocial and health behaviour change predictors of excessive gestational weight gain

Hill, Briony, Skouteris, Helen, Fuller-Tyszkiewicz, Matthew, Kothe, Emily J. and McPhie, Skye 2016, A path model of psychosocial and health behaviour change predictors of excessive gestational weight gain, Journal of reproductive and infant psychology, vol. 34, no. 2, pp. 139-161, doi: 10.1080/02646838.2015.1118021.

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Title A path model of psychosocial and health behaviour change predictors of excessive gestational weight gain
Author(s) Hill, Briony
Skouteris, Helen
Fuller-Tyszkiewicz, Matthew
Kothe, Emily J.
McPhie, Skye
Journal name Journal of reproductive and infant psychology
Volume number 34
Issue number 2
Start page 139
End page 161
Total pages 23
Publisher Taylor & Francis
Place of publication London, Eng.
Publication date 2016
ISSN 0264-6838
1469-672X
Summary This study aimed to evaluate a conceptual model of psychosocial, behaviour change, and behavioural predictors of excessive gestational weight gain (GWG). Background: Excessive GWG can place women and their babies at risk of poor health outcomes, including obesity. Models of psychosocial and behaviour change predictors of excessive GWG have not been extensively explored; understanding the mechanisms leading to excess GWG will provide crucial evidence towards the development of effective interventions. Method: Two hundred and eighty-eight pregnant women (≤18 weeks gestation) were recruited to a prospective study. Demographic, psychosocial, health behaviour change, and behavioural factors were assessed at 17 (Time 1, T1) and 33 weeks (Time 2, T2) gestation. Pre-pregnancy and final pregnancy weight were obtained and women were classified with/without excessive GWG. Logistic regressions refined the list of predictors of excessive GWG; variables with p < .1 were included in a path analysis. Results: Age, family income, T2 depression, T2 pregnancy-specific coping, T1 buttocks dissatisfaction, T2 GWG-specific self-efficacy, T1 dietary readiness, T1 dietary importance, and T1 vegetable intake predicted excessive GWG in the logistic regressions and were included in the path model. The baseline path model demonstrated poor fit. Once statistically and theoretically plausible paths were added, adequate model fit was achieved (χ² = 21.61(9), p < .05; RMSEA = .07; CFI = .93); this revised model explained 19.5% of the variance in excessive GWG. Women with high T1 buttocks dissatisfaction were more likely to exhibit low levels of dietary readiness. Women with low dietary readiness were more likely to have a lower vegetable intake, which predicted excessive GWG. Women with higher T2 depressive symptoms were more likely to report lower GWG self-efficacy and gain excessively. Conclusion: Future behavioural GWG trials should consider combining psychosocial and health behaviour change factors to optimise GWG.
Language eng
DOI 10.1080/02646838.2015.1118021
Field of Research 170106 Health, Clinical and Counselling Psychology
1701 Psychology
Socio Economic Objective 920507 Women's Health
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Grant ID GNT1018000
Copyright notice ©2016, Society for Reproductive and Infant Psychology
Persistent URL http://hdl.handle.net/10536/DRO/DU:30081009

Document type: Journal Article
Collection: School of Psychology
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