Latent profile analysis and influencing factors of quality of life in pregnant women with gestational diabetes mellitus
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 subgrou...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-11-01
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| Series: | BMC Pregnancy and Childbirth |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12884-023-06079-2 |
| _version_ | 1797629873326391296 |
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| author | Xin-yi Zhou Yan-feng Wang Jie-mei Yang Li-yuan Yang Wei-jia Zhao Yan-ling Chen Qiao-hong Yang |
| author_facet | Xin-yi Zhou Yan-feng Wang Jie-mei Yang Li-yuan Yang Wei-jia Zhao Yan-ling Chen Qiao-hong Yang |
| author_sort | Xin-yi Zhou |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T10:59:54Z |
| format | Article |
| id | doaj.art-2a1798d69739410f9a06082260b185e6 |
| institution | Directory Open Access Journal |
| issn | 1471-2393 |
| language | English |
| last_indexed | 2024-03-11T10:59:54Z |
| publishDate | 2023-11-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Pregnancy and Childbirth |
| spelling | doaj.art-2a1798d69739410f9a06082260b185e62023-11-12T12:32:50ZengBMCBMC Pregnancy and Childbirth1471-23932023-11-0123111010.1186/s12884-023-06079-2Latent profile analysis and influencing factors of quality of life in pregnant women with gestational diabetes mellitusXin-yi Zhou0Yan-feng Wang1Jie-mei Yang2Li-yuan Yang3Wei-jia Zhao4Yan-ling Chen5Qiao-hong Yang6School of Nursing, Jinan UniversitySchool of Nursing, Jinan UniversityDepartment of Obstetrics, Zhuhai Maternal and Child Health HospitalGuangzhou Women and Children’s Medical CenterSchool of Nursing, Jinan UniversitySchool of Health, Dongguan Vocational and Technical CollegeSchool of Nursing, Jinan UniversityAbstract 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.https://doi.org/10.1186/s12884-023-06079-2Gestational Diabetes MellitusPregnant womanQuality of lifeLatent profile analysis |
| spellingShingle | Xin-yi Zhou Yan-feng Wang Jie-mei Yang Li-yuan Yang Wei-jia Zhao Yan-ling Chen Qiao-hong Yang Latent profile analysis and influencing factors of quality of life in pregnant women with gestational diabetes mellitus BMC Pregnancy and Childbirth Gestational Diabetes Mellitus Pregnant woman Quality of life Latent profile analysis |
| title | Latent profile analysis and influencing factors of quality of life in pregnant women with gestational diabetes mellitus |
| title_full | Latent profile analysis and influencing factors of quality of life in pregnant women with gestational diabetes mellitus |
| title_fullStr | Latent profile analysis and influencing factors of quality of life in pregnant women with gestational diabetes mellitus |
| title_full_unstemmed | Latent profile analysis and influencing factors of quality of life in pregnant women with gestational diabetes mellitus |
| title_short | Latent profile analysis and influencing factors of quality of life in pregnant women with gestational diabetes mellitus |
| title_sort | latent profile analysis and influencing factors of quality of life in pregnant women with gestational diabetes mellitus |
| topic | Gestational Diabetes Mellitus Pregnant woman Quality of life Latent profile analysis |
| url | https://doi.org/10.1186/s12884-023-06079-2 |
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