Prevalence of Primary Ovarian Insufficiency, Early Menopause, and their Associated Factors among Menopausal Women: Results from the Azar Cohort study in Iran

Document Type : Original Research Article

Authors

1 Counselling and Reproductive Health Research Centre, Department of Midwifery, Faculty of Nursing and Midwifery, Golestan University of Medical Sciences, Gorgan, Iran.

2 Midwifery Department, Tabriz University of Medical Sciences, Tabriz, Iran

3 Liver and Gastrointestinal Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.

10.22038/jmrh.2026.82319.2468

Abstract

Background & aim: Primary ovarian insufficiency (POI) and early menopause are among the primary causes of female infertility. Thus, the present study evaluates the prevalence of POI and early menopause and identifies the associated factors in postmenopausal women in Shabestar, Iran.
Methods: This cross-sectional study used data from the AZAR cohort study (ACS) in Shabestar, Iran, from October 2014 to January 2017. Among 15,006 participants, fundamental data for 8,290 women were extracted, of whom 3,491 were in menopause. Data were collected using a structured and pre-designed questionnaire. To identify the prevalence and associated factors, univariable and multivariable logistic regression were used.
Results: This study found that the prevalence of POI, early menopause, and age at natural menopause was 6.1%, 27.6%, and 66.3%, respectively. Multivariable logistic regression results, after adjusting for all potential confounding factors, revealed that the odds of POI were significantly lower in women with parity ≥ 3, overweight women, and women with late menarche. The odds of POI were also considerably higher in smokers. The results also revealed that underweight women had more than 4 times higher odds of early menopause.
Conclusion: The results revealed that parity, age at menarche, overweight, and smoking had a statistically significant relationship with POI. Due to the increasing prevalenceof POI and early menopause, screening to identify the associated factors by healthcare providers will help provide early interventions.

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