Abstract
Aims: This study aimed to examine impacts of gestational diabetes mellitus (GDM) on quality of life (QoL) domains in Chinese pregnant women. Methods: We recruited 13,358 pregnant women in Tianjin, China. GDM was diagnosed using the criteria of International Association of Diabetes and Pregnancy Study Group. QoL was measured using the 36-Item Short-Form Health Survey. General linear model was used to obtain β-coefficient and 95% confidence intervals (CI) of GDM for QoL domain and summary scores. Results: 7.25% of the pregnant women developed GDM. Among the QoL domain and summary scores, only general health (GH) score was lower in the GDM group than in the non-GDM group. GDM and advanced maternal age (i.e., ≥ versus <30 years) were negatively associated with GH in multivariable analyses (β-coefficient: −1.17, 95%CI: −2.17 to −0.17 & −0.79, −1.40 to −0.18, respectively). In subgroup analyses, the β-coefficient of GDM for GH among women with maternal age ≥30 years was enhanced to −2.17 (−3.94 to −0.40) in multivariable analysis while the β-coefficient of GDM for GH among women aged <30 years was attenuated to non-significance. Conclusions: GDM and advanced maternal age were associated with reducing GH, and presence of advanced maternal age markedly increased the effect of GDM on GH.
Original language | English |
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Pages (from-to) | 425-430 |
Number of pages | 6 |
Journal | Primary Care Diabetes |
Volume | 14 |
Issue number | 5 |
DOIs | |
Publication status | Published - Oct 2020 |
Bibliographical note
Funding Information:This study was funded by the National Key Research and Development Program of China (grant number: 2018YFC1313900; 2018YFC1313903) and Nature Science Foundation of China (grant number: 81870549).
Funding Information:
This study was funded by the National Key Research and Development Program of China (grant number: 2018YFC1313900 ; 2018YFC1313903 ) and Nature Science Foundation of China (grant number: 81870549 ).
Publisher Copyright:
© 2019 Primary Care Diabetes Europe
ASJC Scopus Subject Areas
- Internal Medicine
- Endocrinology, Diabetes and Metabolism
- Nutrition and Dietetics
PubMed: MeSH publication types
- Journal Article
- Research Support, Non-U.S. Gov't