Demographic and social-cognitive factors associated with gestational weight gain in an Australian pregnancy cohort.

Australia Body Mass Index Cognition Cohort Studies Demography Female Gestational Weight Gain Humans Pregnancy Risk Factors
Body image Cognitive Gestational weight gain Health behaviour Pregnancy Social

Journal

Eating behaviors
ISSN: 1873-7358
Titre abrégé: Eat Behav
Pays: United States
ID NLM: 101090048

Informations de publication

Date de publication:
12 2020
Historique:
received: 01 02 2020
revised: 19 08 2020
accepted: 01 09 2020
pubmed: 18 9 2020
medline: 21 1 2021
entrez: 17 9 2020
Statut: ppublish

Résumé

To identify and describe the demographic and social-cognitive factors associated with excessive gestational weight gain using the Weight-Related Behaviours Questionnaire, within an Australian pregnancy cohort. Supporting women to achieve optimal weight gain in pregnancy is complex. Social-cognitive factors are recognised antecedents to, and mediators of, weight related behaviour change. Less is known about their role during pregnancy. 159 women enrolled in a pregnancy cohort study completed the Weight-Related Behaviours Questionnaire (WRBQ) at approximately 19 weeks gestation, and total gestational weight gain was later measured at 36 weeks. Summary scores were reported descriptively. Multivariable logistic regression was used to test demographic (maternal age, pre pregnancy body mass index, parity, smoking status, marital status, education) and social-cognitive factors (weight locus of control, self- efficacy, attitudes towards weight gain, body image, feelings about motherhood, career orientation) as predictors of excessive gestational weight gain. Maternal age was the sole demographic factor predictive of excessive gestational weight gain. Older participants (34-41 yrs) were less likely to gain excessive weight when compare to younger participants (18-24 yrs): Odds Ratio 0.20, 95% Confidence Interval 0.05, 0.82. Body image (measured as personal satisfaction and perception of own weight) was the sole social-cognitive factor associated with excessive gestational weight gain. For every one unit improvement in body image score, there was a 33% decreased odds of excessive gestational weight gain (OR 0.67, 95% CI 0.53, 0.85). This study suggests that younger maternal age and lower perceived body image are predictive of excessive gestational weight gain.

Sections du résumé

AIM
To identify and describe the demographic and social-cognitive factors associated with excessive gestational weight gain using the Weight-Related Behaviours Questionnaire, within an Australian pregnancy cohort.
BACKGROUND
Supporting women to achieve optimal weight gain in pregnancy is complex. Social-cognitive factors are recognised antecedents to, and mediators of, weight related behaviour change. Less is known about their role during pregnancy.
METHODS
159 women enrolled in a pregnancy cohort study completed the Weight-Related Behaviours Questionnaire (WRBQ) at approximately 19 weeks gestation, and total gestational weight gain was later measured at 36 weeks. Summary scores were reported descriptively. Multivariable logistic regression was used to test demographic (maternal age, pre pregnancy body mass index, parity, smoking status, marital status, education) and social-cognitive factors (weight locus of control, self- efficacy, attitudes towards weight gain, body image, feelings about motherhood, career orientation) as predictors of excessive gestational weight gain.
FINDINGS
Maternal age was the sole demographic factor predictive of excessive gestational weight gain. Older participants (34-41 yrs) were less likely to gain excessive weight when compare to younger participants (18-24 yrs): Odds Ratio 0.20, 95% Confidence Interval 0.05, 0.82. Body image (measured as personal satisfaction and perception of own weight) was the sole social-cognitive factor associated with excessive gestational weight gain. For every one unit improvement in body image score, there was a 33% decreased odds of excessive gestational weight gain (OR 0.67, 95% CI 0.53, 0.85).
CONCLUSION
This study suggests that younger maternal age and lower perceived body image are predictive of excessive gestational weight gain.

Identifiants

DOI: 10.1016/j.eatbeh.2020.101430 PMID: 32942238
pubmed: 32942238
pii: S1471-0153(20)30349-4
doi: 10.1016/j.eatbeh.2020.101430
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

101430

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Shanna Fealy (S)

Charles Sturt University, Faculty of Science, School of Nursing, Midwifery and Indigenous Health, 7 Major Innes Road, Port Macquarie, NSW 2444, Australia; University of Newcastle, Faculty of Health and Medicine, School of Nursing and Midwifery, University Drive, Callaghan, NSW 2308, Australia; University of Newcastle, Faculty of Health and Medicine, School of Medicine and Public Health, University Drive, Callaghan, NSW 2308, Australia; Hunter Medical Research Institute, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia. Electronic address: sfealy@csu.edu.au.

John Attia (J)

University of Newcastle, Faculty of Health and Medicine, School of Medicine and Public Health, University Drive, Callaghan, NSW 2308, Australia; Hunter Medical Research Institute, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia.

Lucy Leigh (L)

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

Christopher Oldmeadow (C)

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

Michael Hazelton (M)

Charles Sturt University, Faculty of Science, School of Nursing, Midwifery and Indigenous Health, 7 Major Innes Road, Port Macquarie, NSW 2444, Australia; University of Newcastle, Faculty of Health and Medicine, School of Nursing and Midwifery, University Drive, Callaghan, NSW 2308, Australia; Hunter Medical Research Institute, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia; Priority Research Centre for Brain and Mental Health, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia.

Maralyn Foureur (M)

University of Newcastle, Faculty of Health and Medicine, School of Nursing and Midwifery, University Drive, Callaghan, NSW 2308, Australia; Hunter New England Health Nursing and Midwifery Research Centre, Australia.

Clare E Collins (CE)

University of Newcastle, Faculty of Health and Medicine, School of Health Sciences, University Drive, Callaghan, NSW 2308, Australia; Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Ring Road, Callaghan, NSW 2308, Australia.

Roger Smith (R)

University of Newcastle, Faculty of Health and Medicine, School of Medicine and Public Health, University Drive, Callaghan, NSW 2308, Australia; Hunter Medical Research Institute, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia; University of Newcastle Priority Research Centre for Reproductive Science, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; Department of Endocrinology, John Hunter Hospital, Newcastle, NSW, Australia.

Alexis Hure (A)

University of Newcastle, Faculty of Health and Medicine, School of Medicine and Public Health, University Drive, Callaghan, NSW 2308, Australia; Hunter Medical Research Institute, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia.

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Classifications MeSH

questionsmedicales.fr › Régions géographiques › Océanie › Australasie › Australie › Demographic and social-cognitive factors...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Mesures épidémiologiques › Biométrie › Anthropométrie › Indice de masse corporelle › Demographic and social-cognitive factors...
questionsmedicales.fr › Phénomènes psychologiques › Processus mentaux › Cognition › Demographic and social-cognitive factors...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Demographic and social-cognitive factors...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Mesures épidémiologiques › Démographie › Demographic and social-cognitive factors...
questionsmedicales.fr › Phénomènes physiologiques des appareils urinaire et reproducteur › Phénomènes physiologiques de la reproduction › Prise de poids pendant la grossesse › Demographic and social-cognitive factors...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Demographic and social-cognitive factors...
questionsmedicales.fr › Phénomènes physiologiques des appareils urinaire et reproducteur › Phénomènes physiologiques de la reproduction › Reproduction › Grossesse › Demographic and social-cognitive factors...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Risque › Facteurs de risque › Demographic and social-cognitive factors...