Evidence map›Paper›PMID 42558473›Full record

ArticleFrontiers in global women's health2026

Diversity in human fertility in India beyond age 30: an index based temporal study.

Brijesh P Singh, Ravi Kant Maurya, Anuj Singh

Abstract read
In one paragraph

Article in Frontiers in global women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Brijesh P SinghDepartment of Statistics, Institute of Science, Banaras Hindu University, Varanasi, India.
Ravi Kant MauryaDepartment of Statistics, Mahatma Gandhi Kashi Vidyapith, Varanasi, India.
Anuj SinghDepartment of Sciences (Mathematics), Indian Institute of Information Technology (IIIT), Ranchi, Jharkhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Fertility patterns among women aged 30 years and above have undergone substantial changes in India, reflecting the country's ongoing demographic transition. However, evidence on the diversity and distribution of age-specific fertility across states and urban-rural settings remains limited. Method: The study examines the diversity-index using age-specific fertility rates (ASFR) among women aged 30-49 years across 16 major Indian states and the Union Territory of Delhi, with particular focus on urban-rural differentials over five rounds of the National Family Health Survey (NFHS) from 1992-93 to 2019-21. Results: Regional and temporal variations in fertility diversity were evident across India. Southern and western states indicates the lower diversity indices, representing more concentrated fertility patterns, whereas northern and eastern states, particularly Bihar, Uttar Pradesh, and Rajasthan, showed greater fertility heterogeneity. Urban areas consistently demonstrated lower fertility diversity than rural areas. Overall, most states experienced a decline in fertility diversity over time, reflecting increasing concentration of childbearing within specific age groups. Discussion: The findings indicate that fertility beyond age 30 is becoming increasingly concentrated across India, although substantial regional and rural-urban disparities persist. These results highlight the need for region-specific reproductive health and family planning strategies and provide valuable evidence for understanding fertility transitions and informing demographic and women's reproductive health policies.

Indexed as

age-specific fertility ratediversity indexfertility beyond age 30IndiaNFHSrural-urban differentials

Identifiers

PMID42558473
PMCPMC13437679

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.