Author:
Zhou Xin-yi,Wang Yan-feng,Yang Jie-mei,Yang Li-yuan,Zhao Wei-jia,Chen Yan-ling,Yang Qiao-hong
Abstract
Abstract
Purpose
Gestational diabetes mellitus (GDM) negatively affects the quality of life of pregnant women and is influenced by several factors. Research to date treats pregnant women with gestational diabetes as a homogeneous group based on their quality of life. We attempted to identify subgroups based on self-reported quality of life and explored variables associated with subgroups.
Methods
From September 1, 2020 to November 29, 2020, pregnant women with GDM from two hospitals in Guangdong Province were selected as subjects by convenience sampling method. Medical records provided sociodemographic data, duration of GDM, pregnancy status, and family history of diabetes. Participants completed validated questionnaires for quality of life, anxiety and depression. Latent profile analysis was used to identify profiles of quality of life in pregnant women with GDM, and then a mixed regression method was used to analyze the influencing factors of different profiles.
Results
A total of 279 valid questionnaires were collected. The results of the latent profile analysis showed that the quality of life of pregnant women with GDM could be divided into two profiles: C1 “high worry-high support” group (75.6%) and C2 “low worry-low support” group (24.4%). Daily exercise duration and depression degree are negative influencing factors, making it easier to enter the C1 group (p < 0.05). Disease duration and family history of diabetes are positive influencing factors, making it easier to enter the C2 group (p < 0.05).
Conclusion
The quality of life of pregnant women with GDM had obvious classification characteristics. Pregnant women with exercise habits and depression are more likely to enter the “high worry-high support” group, and health care providers should guide their exercise according to exercise guidelines during pregnancy and strengthen psychological intervention. Pregnant women with a family history of diabetes and a longer duration of the disease are more likely to fall into the “low worry-low support” group. Healthcare providers can strengthen health education for them and improve their disease self-management abilities.
Funder
Zhuhai Science and Technology Innovation Bureau
Publisher
Springer Science and Business Media LLC
Subject
Obstetrics and Gynecology
Cited by
2 articles.
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