Evidence map›Paper›PMID 39900474›Full record

ArticleThe Australian & New Zealand journal of obstetrics & gynaecology2025

Associations of Sociodemographic Factors With Clusters of Obesity-Risk Behaviours Among Pregnant Women in Australia.

Monica Sarofim, Xu Huilan, Li Ming Wen, Louise A Baur

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Article in The Australian & New Zealand journal of obstetrics & gynaecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Monica SarofimFaculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0009-0001-7387-2649
Xu HuilanHealth Promotion, Population Health Research and Evaluation Hub, Sydney Local Health District, Sydney, New South Wales, Australia.
Li Ming WenHealth Promotion, Population Health Research and Evaluation Hub, Sydney Local Health District, Sydney, New South Wales, Australia.
Louise A BaurSydney School of Public Health, The University of Sydney, Sydney, New South Wales, Australia.

Funding

New South Wales Health Translational Research TRGS 200Sydney Local Health District
6 · The paper itself

Abstract

backgroundMaternal obesity-risk behaviours during pregnancy have a direct impact on the weight trajectory of their children. Targeting these behaviours may help improve birth outcomes and child health. This study aimed to identify sociodemographic factors associated with unhealthy dietary behaviours and insufficient physical activity in pregnant women. MATERIALS AND

methodsWe undertook a cross-sectional secondary analysis using data from the Communicating Healthy Beginnings Advice by Telephone (CHAT) trial conducted in NSW, Australia in 2017-2019. Multiple logistic regression models were built to determine associations.

resultsA total of 1155 pregnant mothers attended antenatal clinics from 28 to 34 weeks gestation. Younger age (< 30 years, adjusted odds ratio [AOR] 2.01, 95% confidence interval [CI] 1.53-2.64) and paternal unemployment (AOR1.86, 95% CI1.44-2.39) were associated with a cluster of unhealthy dietary behaviours. Excessive intake of discretionary foods (processed meat, fast food, potato crisps) was associated with: younger age (AOR1.62, 95% CI 1.24-2.11), being Australian-born (AOR1.55, 95% CI 1.20-2.01), paternal unemployment (AOR1.57, 95% CI 1.01-2.43) and lower paternal education level (AOR1.77, 95% 1.37-2.28). Insufficient physical activity behaviours were associated with maternal employment (AOR1.55, 95% CI 1.21-1.98) and those with tertiary-level education (AOR1.39, 95% CI 1.08-1.79).

conclusionsMothers aged under 30 years and those born in Australia were more likely to have a cluster of obesity-risk behaviours. Maternal and paternal employment status, and education level were also associated with such clusters.

Indexed as

ObesityPregnancy ComplicationsPregnant PeopleRisk-TakingAdultAustraliaCross-Sectional StudiesDietExerciseFemaleHumansNew South WalesPregnancySociodemographic FactorsUnemploymentYoung Adultmaternal sociodemographicsobesity preventionobesity risk behavioursphysical activityunhealthy diet

Identifiers

PMID39900474
PMCPMC12723090

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.