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Factors influencing premature ovarian insufficiency: a systematic review and meta-analysis
Shuling Lin1, Shanyan Chen1, Qin Zhang2
1Department of Obstetrics and Gynecology, Puning City Maternal and Child Health Hospital, Guangdong Province, China.
Insights
Premature ovarian insufficiency (POI) is linked to lifestyle and medical factors like stress and surgery. Protective measures include physical activity and a diet rich in vegetables for women’s reproductive health.
Area of Science:
- Reproductive Endocrinology
- Epidemiology
- Women's Health
Background:
- Premature ovarian insufficiency (POI) is a complex condition with diverse etiologies.
- Understanding contributing factors is crucial for early intervention and research.
Purpose of the Study:
- To systematically evaluate factors influencing premature ovarian insufficiency (POI).
- To identify high-risk populations for targeted interventions.
- To establish a foundation for future POI research.
Main Methods:
- A systematic review and meta-analysis adhering to PRISMA guidelines.
- Inclusion of 38 observational studies with 4,968 cases and 5,158 controls.
- Analysis of risk and protective factors using odds ratios (OR) and 95% confidence intervals (CIs).
Main Results:
- Identified risk factors for POI include abnormal menstruation, hair dyeing, chemical exposure, Type A personality, stress, sleep deprivation, bad mood, smoking, family history, mumps history, abortions, and pelvic surgery.
- Physical exercise (OR=0.270) and vegetable intake (OR=0.434) were found to be protective.
- Sensitivity analyses and publication bias tests confirmed the robustness of findings.
Conclusions:
- Multiple lifestyle, environmental, and medical factors significantly correlate with premature ovarian insufficiency (POI).
- Promoting physical activity and vegetable consumption may mitigate POI risk.
- Findings support enhanced clinical strategies for POI early detection and management.
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.
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