Factors influencing premature ovarian insufficiency: a systematic review and meta-analysis
Background Premature ovarian insufficiency (POI) has multiple contributing factors. This study aims to systematically evaluate these factors and their mechanisms, identify high-risk groups, support early intervention, and provide a basis for future research.Methods Following the PRISMA guidelines, a...
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Taylor & Francis Group
2025-12-01
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| Series: | Journal of Obstetrics and Gynaecology |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/01443615.2025.2469331 |
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| author | Shuling Lin Shanyan Chen Qin Zhang |
| author_facet | Shuling Lin Shanyan Chen Qin Zhang |
| author_sort | Shuling Lin |
| collection | DOAJ |
| description | Background Premature ovarian insufficiency (POI) has multiple contributing factors. This study aims to systematically evaluate these factors and their mechanisms, identify high-risk groups, support early intervention, and provide a basis for future research.Methods Following the PRISMA guidelines, a search was conducted across 11 Chinese and English databases, including PubMed, Embase, and the Cochrane Library, up to January 2024. Observational studies on patients with ovarian insufficiency were included. A meta-analysis using Stata 14 was performed to calculate odds ratios (OR) and 95% confidence intervals (CIs) for factors influencing POI.Results A total of 38 studies with 4,968 cases and 5,158 controls were included. The following factors were identified as risk factors for POI: abnormal menstruation (OR = 2.707, 95% CI: 1.705–4.299), hair dyeing (OR = 4.725, 95% CI: 2.914–7.660), chemical exposure (OR = 3.314, 95% CI: 2.283–4.811), Type A personality (OR = 6.106, 95% CI: 4.696–7.939), survival stress (OR = 3.292, 95% CI: 2.380–4.555), sleep deprivation (OR = 3.340, 95% CI: 2.363–4.721), bad mood (OR = 4.654, 95% CI: 2.783–7.781), smoking history (OR = 2.748, 95% CI: 1.928–3.917), family history of POI (OR = 4.338, 95% CI: 2.422–7.768), history of mumps (OR = 5.802, 95% CI: 3.460–9.730), number of abortions (OR = 2.292, 95% CI: 1.887–2.785), and history of pelvic surgery (OR = 4.836, 95% CI: 3.066–7.628). Physical exercise (OR = 0.270, 95% CI: 0.106–0.692) and vegetable intake (OR = 0.434, 95% CI: 0.337–0.560) were protective factors. Sensitivity analysis and publication bias tests confirmed robustness.Conclusions POI is related with abnormal menstruation, hair dyeing, chemical exposure, Type A personality, survival stress, sleep deprivation, bad mood, smoking history, family history of POI, history of mumps, number of abortions, and history of pelvic surgery. Physical exercise and vegetable intake may provide protection. These findings inform clinical strategies for early identification and management. |
| format | Article |
| id | doaj-art-68da8e7ec4e04e0395a61671b85dd055 |
| institution | DOAJ |
| issn | 0144-3615 1364-6893 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
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| series | Journal of Obstetrics and Gynaecology |
| spelling | doaj-art-68da8e7ec4e04e0395a61671b85dd0552025-08-20T03:11:36ZengTaylor & Francis GroupJournal of Obstetrics and Gynaecology0144-36151364-68932025-12-0145110.1080/01443615.2025.2469331Factors influencing premature ovarian insufficiency: a systematic review and meta-analysisShuling Lin0Shanyan Chen1Qin Zhang2Department of Obstetrics and Gynecology, Puning City Maternal and Child Health Hospital, Guangdong Province, ChinaDepartment of Obstetrics and Gynecology, Puning City Maternal and Child Health Hospital, Guangdong Province, ChinaReproductive Medicine Center, Shenzhen Luohu District People’s Hospital, Guangdong Province, ChinaBackground Premature ovarian insufficiency (POI) has multiple contributing factors. This study aims to systematically evaluate these factors and their mechanisms, identify high-risk groups, support early intervention, and provide a basis for future research.Methods Following the PRISMA guidelines, a search was conducted across 11 Chinese and English databases, including PubMed, Embase, and the Cochrane Library, up to January 2024. Observational studies on patients with ovarian insufficiency were included. A meta-analysis using Stata 14 was performed to calculate odds ratios (OR) and 95% confidence intervals (CIs) for factors influencing POI.Results A total of 38 studies with 4,968 cases and 5,158 controls were included. The following factors were identified as risk factors for POI: abnormal menstruation (OR = 2.707, 95% CI: 1.705–4.299), hair dyeing (OR = 4.725, 95% CI: 2.914–7.660), chemical exposure (OR = 3.314, 95% CI: 2.283–4.811), Type A personality (OR = 6.106, 95% CI: 4.696–7.939), survival stress (OR = 3.292, 95% CI: 2.380–4.555), sleep deprivation (OR = 3.340, 95% CI: 2.363–4.721), bad mood (OR = 4.654, 95% CI: 2.783–7.781), smoking history (OR = 2.748, 95% CI: 1.928–3.917), family history of POI (OR = 4.338, 95% CI: 2.422–7.768), history of mumps (OR = 5.802, 95% CI: 3.460–9.730), number of abortions (OR = 2.292, 95% CI: 1.887–2.785), and history of pelvic surgery (OR = 4.836, 95% CI: 3.066–7.628). Physical exercise (OR = 0.270, 95% CI: 0.106–0.692) and vegetable intake (OR = 0.434, 95% CI: 0.337–0.560) were protective factors. Sensitivity analysis and publication bias tests confirmed robustness.Conclusions POI is related with abnormal menstruation, hair dyeing, chemical exposure, Type A personality, survival stress, sleep deprivation, bad mood, smoking history, family history of POI, history of mumps, number of abortions, and history of pelvic surgery. Physical exercise and vegetable intake may provide protection. These findings inform clinical strategies for early identification and management.https://www.tandfonline.com/doi/10.1080/01443615.2025.2469331Premature ovarian insufficiencypremature ovarian failurepremature ovarian reserve |
| spellingShingle | Shuling Lin Shanyan Chen Qin Zhang Factors influencing premature ovarian insufficiency: a systematic review and meta-analysis Journal of Obstetrics and Gynaecology Premature ovarian insufficiency premature ovarian failure premature ovarian reserve |
| title | Factors influencing premature ovarian insufficiency: a systematic review and meta-analysis |
| title_full | Factors influencing premature ovarian insufficiency: a systematic review and meta-analysis |
| title_fullStr | Factors influencing premature ovarian insufficiency: a systematic review and meta-analysis |
| title_full_unstemmed | Factors influencing premature ovarian insufficiency: a systematic review and meta-analysis |
| title_short | Factors influencing premature ovarian insufficiency: a systematic review and meta-analysis |
| title_sort | factors influencing premature ovarian insufficiency a systematic review and meta analysis |
| topic | Premature ovarian insufficiency premature ovarian failure premature ovarian reserve |
| url | https://www.tandfonline.com/doi/10.1080/01443615.2025.2469331 |
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