Evidence map›Paper›PMID 40353266›Full record

ArticleJournal of obstetrics and gynaecology of India2025

Untimely Menopause, State Wise Prevalence and Determinants: Insights from Longitudinal Aging Study in India (LASI-1).

Pritam Halder, Subham Kansal, Anshul Mamgai, Shivani Rathor, Anamika Das, Gaurav Garg

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Article in Journal of obstetrics and gynaecology of India, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Pritam HalderDepartment of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Subham KansalDepartment of Community Medicine, Lady Hardinge Medical College, Delhi, India.
Anshul MamgaiDepartment of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Shivani RathorDepartment of Medical Parasitology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Anamika DasDepartment of Obstetrics and Gynecology, ESIC Hospital and PGIMSR, Basaidarapur, New Delhi, India.ORCID 0000-0002-1381-7349
Gaurav GargDepartment of Obstetrics and Gynecology, ESIC Hospital and PGIMSR, Basaidarapur, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Untimely menopause refers to occurrence of menopause before the age of 40 years or after 55 years, termed as pre-mature or delayed menopause. This is a secondary data analysis of LASI-1 to estimate prevalence of untimely menopause and its determinants. Materials and methods: LASI-1, a longitudinal study collected detailed information on the psychological, social, economic and health aspects of ageing in India. Baseline data was collected from year 2017-2019 in all 35 states and union territories in India. 73,396 adults were interviewed aged 45 years and above. In this study, we analysed prevalence of untimely menopause and its determinants from the data using bivariate and logistic regression analysis. Results: In this study, 25,256 women's data was analysed to estimate the prevalence. 7.4%, 17.5% and 13.4% women had pre-mature (menopause less than 40 years), early (between 40 and 44 years) and delayed menopause (after 55 years), more so in a few southern states of the country. Determinants for untimely menopause were area of residence (higher in rural area), education status (greater in higher educational status), working status (more in currently working women), and consumption of alcohol. Conclusion: There is high prevalence of untimely menopause and more so in a few southern states of the country, which is a cause of concern and needs specific attention.

Indexed as

DelayedEarlyLASIMenopausePremature

Identifiers

PMID40353266
PMCPMC12064544

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