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Physical Activity, Health and Exercise

Predictors of physical activity among Chinese pregnant women during the first trimester: A cross-sectional study

, , & ORCID Icon
Pages 1883-1891 | Received 27 Aug 2022, Accepted 10 Jan 2024, Published online: 18 Jan 2024
 

ABSTRACT

Physical activity during pregnancy has numerous health benefits for the woman and the foetus. The current study investigated physical activity engagement and its predictors among pregnant Chinese women during the first trimester. A total of 687 pregnant women completed the Pregnancy Physical Activity Questionnaire. Bivariate and multivariate logistic regression were used to analyse the data. The current physical activity guidelines were not met by 64.3% of respondents. Women with higher levels of physical activity self-efficacy (aOR = 0.96; 95% CI: 0.92–0.99) and social support (aOR = 0.95; 95% CI: 0.94–0.97) had lower odds of not meeting the current physical activity guidelines. Women who were aged < 35 years (aOR = 1.85; 95% CI: 1.02–3.34), had lower education (aOR = 1.63; 95% CI: 1.04–2.55), were primiparous (aOR = 11.03; 95% CI: 6.98–17.44), were unsure of their delivery mode (aOR = 2.32; 95% CI: 1.95–5.64), and those who had higher levels of pregnancy-associated discomfort (aOR = 1.10; 95% CI: 1.03–1.19) had higher odds of not meeting the current physical activity guidelines. The current study suggests that healthcare professionals should assess physical activity engagement during routine antenatal care and increase efforts to strengthen pregnant women’s self-efficacy and social support to promote physical activity engagement during the first trimester.

Acknowledgments

We thank the Chinese pregnant women who participated in the study.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The datasets used in the current study are available from the corresponding author on reasonable request.

Additional information

Funding

This work was supported by the [National Natural Science Foundation of China] under Grant [number 72174216].

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