ArticleBMC public health2024
Trends, patterns and predictors of high-risk fertility behaviour among Indian women: evidence from National Family Health Survey.
Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 6 citations in OpenAlex.
- High-Risk Fertility Behavior and Its Associated Factors Among Women in Wad Madani Maternity Hospital, Sudan: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2026Article
- Short Birth Intervals and Long-Term Stunting Risk in Indonesian Children: A Retrospective Cohort Study Using the Indonesian Family Life Survey.Nutrients · 2026Article
- Patriarchal norms and reproductive vulnerability: association between son preference and high-risk fertility behaviour in India.Tropical medicine and health · 2026Article
- Predicting short birth intervals in Bangladesh using stacked machine learning and SHAP explainability: evidence from BDHS 2022.Reproductive health · 2026Article
- Unraveling the complexity of selected adverse neonatal outcomes in India: a multilevel analysis using data from a nationally representative sample survey.BMC pregnancy and childbirth · 2025Article
- Individual, household, and community-level factors associated with high-risk fertility behaviour among Nigerian women: secondary analysis of the 2018 demographic and health survey data.Reproductive health · 2025Article
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Abstract
backgroundNumerous studies have demonstrated that high-risk fertility behaviour (HRFB), which includes maternal age below 18 or above 34 years, short birth intervals (less than 24 months), and high parity (birth order above 4), is associated with adverse maternal and child health outcomes. There is a substantial research gap in the domain of high-risk fertility behaviour in the Indian context. Therefore, this study is designed to investigate the current trends and patterns in the prevalence of high-risk births among Indian women, with a primary focus on identifying contributing factors associated with this prevalence.
methodsThe study utilized data from the nationally representative National Family Health Survey (NFHS), which has been conducted in five rounds since 1992-93. Data from all rounds were used to assess the overall trend. However, data from the most recent round of NFHS, conducted during 2019-21, were employed to evaluate current levels and patterns of HRFB prevalence and to identify socio-economic and demographic predictors of HRFB using binomial and multinomial logistic regression models.
resultsThe prevalence of HRFB has exhibited a consistent decreasing pattern from 1992 to 93 to 2019-21 in India. However, 29.56% of married women continue to experience high-risk births with notably higher rates in several states (e.g., 49.85% in Meghalaya and 46.41% in Bihar). Furthermore, socio-demographic factors like wealth index, educational level, social group, religion, mass media exposure, family size, age at marriage, type and region of residence, and reproductive factors like birth intention, place and type of delivery, ANC visits and current contraceptive use were identified as significant predictors of high-risk births among women in India.
conclusionDespite a 20.4 percentage point decline in HRFB prevalence over the past three decades, a significant proportion of women in specific regions and demographic subgroups continue to experience high-risk births. Therefore, the present study recommends interventions aimed at preventing high-risk births among women in India, with particular emphasis on states with high HRFB prevalence and women from socioeconomically disadvantaged backgrounds.
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