Evidence map›Paper›PMID 35130319›Full record

ArticlePloS one2022

Key drivers of fertility levels and differentials in India, at the national, state and population subgroup levels, 2015-2016: An application of Bongaarts' proximate determinants model.

Susheela Singh, Chander Shekhar, Akinrinola Bankole, Rajib Acharya, Suzette Audam, Temitope Akinade

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.8field-weighted citation impact, top 8% of its field
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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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Susheela SinghGuttmacher Institute, New York, New York, United States of America.
Chander ShekharDepartment of Fertility Studies, International Institute for Population Sciences (IIPS), Mumbai, India.ORCID 0000-0002-6090-8470
Akinrinola BankoleGuttmacher Institute, New York, New York, United States of America.
Rajib AcharyaPopulation Council, New Delhi, India.
Suzette AudamGuttmacher Institute, New York, New York, United States of America.
Temitope AkinadeGuttmacher Institute, New York, New York, United States of America.
Guttmacher Institute · USInternational Institute for Population Sciences · INPopulation Council Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe transition to small family size is at an advanced phase in India, with a national TFR of 2.2 in 2015-16. This paper examines the roles of four key determinants of fertility-marriage, contraception, abortion and postpartum infecundability-for India, all 29 states and population subgroups.

methodsData from the most recent available national survey, the National Family Health Survey, conducted in 2015-16, were used. The Bongaarts proximate determinants model was used to quantify the roles of the four key factors that largely determine fertility. Methodological contributions of this analysis are: adaptations of the model to the Indian context; measurement of the role of abortion; and provision of estimates for sub-groups nationally and by state: age, education, residence, wealth status and caste.

resultsNationally, marriage is the most important determinant of the reduction in fertility from the biological maximum, contributing 36%, followed by contraception and abortion, contributing 24% and 23% respectively, and post-partum infecundability contributed 16%. This national pattern of contributions characterizes most states and subgroups. Abortion makes a larger contribution than contraception among young women and better educated women. Findings suggest that sterility and infertility play a greater than average role in Southern states; marriage practices in some Northeastern states; and male migration for less-educated women. The absence of stronger relationships between the key proximate fertility determinants and geography or socio-economic status suggests that as family size declined, the role of these determinants is increasingly homogenous.

conclusionsFindings argue for improvements across all states and subgroups, in provision of contraceptive care and safe abortion services, given the importance of these mechanisms for implementing fertility preferences. In-depth studies are needed to identify policy and program needs that depend on the barriers and vulnerabilities that exist in specific areas and population groups.

Indexed as

Birth RateAbortion, InducedAdolescentAdultContraception BehaviorFamily CharacteristicsFamily Planning ServicesFemaleFertilityGeographyHumansIndiaInfant, NewbornMaleMarriageMiddle Aged

Identifiers

PMID35130319
PMCPMC8820640
OpenAlexW4210356909

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.