Evidence map›Paper›PMID 39107408›Full record

ArticleScientific reports2024

Rising premature menopause and variations by education level in India.

Karan Babbar, Vanita Singh, M Sivakami

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Karan BabbarCentre for Development Studies, Jindal Global Business School, OP Jindal Global University, Sonipat, India. phd17karanb@iima.ac.in.ORCID http://orcid.org/0000-0001-6638-6573
Vanita SinghEconomics and Public Policy, Management Development Institute, Gurugram, India.ORCID http://orcid.org/0000-0002-3353-3861
M SivakamiCenter for Health and Social Sciences, School of Health Systems Studies (SHSS), Tata Institute of Social Sciences (TISS), Mumbai, India.ORCID http://orcid.org/0000-0001-6861-7603

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The proportion of women experiencing premature menopause is on the rise in India, particularly in the age groups of 30-39 years. Consequently, there is a need to understand the factors influencing the prevalence of premature menopausal status among women. Our study uses the data from 180,743 women gathered during the latest Indian version of the Demography Health Survey (National Family Health Survey-5). Our results suggest that close to 5% of women in rural areas and 3% of women in urban areas experience premature menopause, and this figure varies across Indian States. The regression results show that surgical menopause, lower levels of education, poorer wealth index, rural residence, female sterilization, and insurance coverage are key drivers of premature menopause. One of the striking factors is that the prevalence of premature menopause among those with the lowest levels of education (6.85%) is around seven times higher than those with the highest level of education (0.94%). We conducted a decomposition analysis to delve into the factors contributing to this inequality. The results show that undergoing a hysterectomy (surgical menopause) account for 73% of the gap in premature menopausal rates between women with the lowest and highest levels of education. This indicates that women with poor education are more likely to undergo hysterectomy at a younger age. This finding warrants further exploration as we would expect that women from lower socio-economic background would have limited access to surgical care, however, our results suggest otherwise. This perhaps indicates a lack of awareness, lack of alternative treatment options, and over-reliance on surgical care while neglecting conservative management. Our results have implications for addressing the diverse needs of the increasing number of women in their post-menopause phase and for focusing on conservative treatment options for these women.

Indexed as

Educational StatusMenopause, PrematureAdultFemaleHealth SurveysHumansHysterectomyIndiaMiddle AgedPrevalenceRural PopulationSocioeconomic FactorsUrban PopulationDecompositionEducationGenderIndiaMenopauseMid-life experienceNFHS-5Premature menopause

Identifiers

PMID39107408
PMCPMC11303560

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.