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Assisted reproductive technology and physical activity among Chinese pregnant women at high risk for gestational diabetes mellitus in early pregnancy: A cross‐sectional study.
- Source :
- Research in Nursing & Health; Jun2024, Vol. 47 Issue 3, p324-334, 11p
- Publication Year :
- 2024
-
Abstract
- Currently, the number of pregnant women at high risk for gestational diabetes mellitus (GDM) and using assisted reproductive technology (ART) is increasing. The present study aims to explore the relationship between ART and physical activity in Chinese pregnant women at high risk for GDM in early pregnancy. A cross‐sectional study was conducted in a regional teaching hospital in Guangzhou, China, between July 2022 and March 2023. Three hundred fifty‐five pregnant women at high risk for GDM in early pregnancy completed the Chinese version of the Pregnant Physical Activity Questionnaire (PPAQ), the Pregnancy Physical Activity Knowledge Scale, the Pregnancy Physical Activity Self‐Efficacy Scale, the Pregnancy Physical Activity Social Support Scale, and a sociodemographic and obstetric characteristics data sheet. Compared to women who conceived naturally, women who used ART were more likely to be 35 years or older, unemployed, primigravidae, and to have intentionally planned their pregnancies. Women who used ART had significantly lower levels of physical activity and self‐efficacy compared to their counterparts who conceived naturally. Over half (55.6%) of women who used ART reported being physically inactive, and those with lower self‐efficacy, as well as the unemployed, were significantly more likely to be inactive. Physical inactivity is a critical clinical issue among women who use ART, especially in the context of GDM risk. Future research should develop and test physical activity programs, including enhancing physical activity self‐efficacy for women who use ART. Patient or public contribution: In this study, survey questionnaires were completed by participants among Chinese pregnant women at high risk for GDM in early pregnancy. [ABSTRACT FROM AUTHOR]
- Subjects :
- RISK assessment
CROSS-sectional method
HEALTH literacy
PEARSON correlation (Statistics)
ACADEMIC medical centers
BODY mass index
SELF-efficacy
T-test (Statistics)
RESEARCH funding
GESTATIONAL diabetes
QUESTIONNAIRES
MULTIPLE regression analysis
PREGNANT women
MULTIVARIATE analysis
DESCRIPTIVE statistics
HUMAN reproductive technology
PARITY (Obstetrics)
MEDICAL records
ACQUISITION of data
ONE-way analysis of variance
SOCIODEMOGRAPHIC factors
SOCIAL support
DATA analysis software
PHYSICAL activity
DISEASE risk factors
Subjects
Details
- Language :
- English
- ISSN :
- 01606891
- Volume :
- 47
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Research in Nursing & Health
- Publication Type :
- Academic Journal
- Accession number :
- 176717291
- Full Text :
- https://doi.org/10.1002/nur.22369