Evidence map›Paper›PMID 42260627›Full record

ArticleTropical medicine and health2026

Gender bias in fertility choices: how son preference increases the risk of short birth intervals in India.

Soumen Barik, Dewaram A Nagdeve, Priyanka Patel, Mayank Singh

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Article in Tropical medicine and 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.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Soumen BarikDepartment of Fertility & Social Demography, International Institute for Population Sciences (IIPS), Mumbai, Maharashtra, 400088, India.ORCID http://orcid.org/0009-0002-9639-0463
Dewaram A NagdeveDepartment of Fertility & Social Demography, International Institute for Population Sciences (IIPS), Mumbai, Maharashtra, 400088, India.ORCID http://orcid.org/0000-0001-6943-4323
Priyanka PatelNewcomb Institute Tulane University, New Orleans, LA, USA.ORCID http://orcid.org/0000-0003-1708-9446
Mayank SinghDepartment of Epidemiology and Biostatistics, KAHER, Belgaum, Karnataka, 590010, India. singhmayank.251195@gmail.com.ORCID http://orcid.org/0000-0002-5350-6895

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShort birth intervals are a persistent public health issue that elevate maternal and child health risks in India, where high patriarchy and son preference influence reproductive health outcomes among women. While prior research has not isolated or quantified the contribution of son preference to short birth interval (SBI). This study explores the impact of son preference on SBI in India. DATA AND

methodsUsing nationally representative data from India's National Family Health Survey (NFHS-5, 2019-21), we analyzed 117,135 married women aged 15-49 with at least two consecutive live births. We employed logistic regression models to estimate adjusted odds ratios (AORs) for SBI. Furthermore, the Fairlie decomposition technique was also applied to quantify the contribution of observed individual, household, and community-level characteristics in the differential length of birth interval among son preference and non-son preference women.

resultsWomen who had son preference had 16% higher odds of SBI (AOR = 1.16; 95% CI 1.12-1.20). The Fairlie decomposition revealed that 78.4% of this disparity was explained by measurable factors. Household wealth was the dominant contributor (64.7%), followed by fertility desire (30.4%), maternal BMI (16.3%), and household size (15.9%). Notably, maternal education and regional context acting as equalizing forces, reducing the explained gap by 18.8% and 24.8%, functioning as protective suppressors, however, 21.6% of the disparity remained unexplained, suggesting unmeasured patriarchal norms and reproductive coercion mechanisms.

conclusionSon preference's influence on SBI in India is not rooted solely in cultural tradition but is statistically explained by observed characteristics. Policies that enhance women's education, economic security, and access to family planning, especially in high-patriarchy regions, can disrupt the association between son preference and SBI. Integrating gender-transformative approaches into India's reproductive health programs is essential to advance both maternal health (SDG 3) and gender equality (SDG 5).

Indexed as

Fairlie decompositionGender equityIndiaNFHS-5Reproductive autonomyShort birth intervalsSon preference

Identifiers

PMID42260627
PMCPMC13248303

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