PMID- 38413929 OWN - NLM STAT- MEDLINE DCOM- 20240229 LR - 20240301 IS - 1471-2458 (Electronic) IS - 1471-2458 (Linking) VI - 24 IP - 1 DP - 2024 Feb 27 TI - Trends, patterns and predictors of high-risk fertility behaviour among Indian women: evidence from National Family Health Survey. PG - 626 LID - 10.1186/s12889-024-18046-3 [doi] LID - 626 AB - BACKGROUND: Numerous 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. METHODS: The 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. RESULTS: The 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. CONCLUSION: Despite 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. CI - (c) 2024. The Author(s). FAU - Singh, Pooja AU - Singh P AD - Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India. pooja.singh04@bhu.ac.in. FAU - Singh, Kaushalendra Kumar AU - Singh KK AD - Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India. LA - eng PT - Journal Article DEP - 20240227 PL - England TA - BMC Public Health JT - BMC public health JID - 100968562 SB - IM MH - Child MH - Female MH - Humans MH - Adult MH - *Fertility MH - Maternal Age MH - *Marriage MH - Family Characteristics MH - Health Surveys MH - India/epidemiology PMC - PMC10900591 OTO - NOTNLM OT - HRFB OT - India OT - Multinomial logistic regression OT - NFHS OT - Reproductive health COIS- The authors declare no competing interests. EDAT- 2024/02/28 00:43 MHDA- 2024/02/29 06:43 PMCR- 2024/02/27 CRDT- 2024/02/27 23:52 PHST- 2023/04/07 00:00 [received] PHST- 2024/02/08 00:00 [accepted] PHST- 2024/02/29 06:43 [medline] PHST- 2024/02/28 00:43 [pubmed] PHST- 2024/02/27 23:52 [entrez] PHST- 2024/02/27 00:00 [pmc-release] AID - 10.1186/s12889-024-18046-3 [pii] AID - 18046 [pii] AID - 10.1186/s12889-024-18046-3 [doi] PST - epublish SO - BMC Public Health. 2024 Feb 27;24(1):626. doi: 10.1186/s12889-024-18046-3.