Short birth interval and associated factors in rural India

A cross-sectional study

Bibliographic Data

ID21342593
AuthorsSourav Chowdhury (0000-0002-4303-5268, Raiganj University, corresponding author), Aditya Singh (0000-0001-5559-9151, Banaras Hindu University), Nuruzzaman Kasemi (0000-0003-4919-3985, Raiganj University), Mahashweta Chakrabarty (0000-0001-5151-9572, Banaras Hindu University), Shivani Singh (0000-0003-3286-237X, India Health Action Trust)
Year2023
Volume55
Issue4
Pages735-754
Publication date2023-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Biosocial Science (JOURNAL)
Journal identifiersISSN: 0021-9320 • E-ISSN: 1469-7599
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0021932022000256
PMID35787302
OpenAlexW4283832022
LanguageEN
Citations received4
References cited40

Short Birth Interval (SBI) is one of the main causes of adverse maternal and child health outcomes. A 33-month birth-to-birth interval between two successive live births should be followed to minimize the risk of adverse maternal and child health. This study aimed to examine the prevalence of SBI and the associated factors in rural India. Information on 98,522 rural mothers from the fourth round of National Family Health Survey data was analyzed. Bivariate statistics, logistic regression, Moran’s I , and Cluster and Outlier Analysis have been used to assess the prevalence and spatial pattern of SBI in rural India. Results revealed that about half of the mothers in rural India had experienced SBI. Rural Indian mothers whose child was not alive (OR = 1.76, 95% CI = 1.63–1.90), were not using any contraceptive methods (OR = 1.42, 95 % CI = 1.37–1.48) and not breastfeeding (OR = 2.73, 95% CI = 2.50–2.97) were more likely to experience SBI. On the other hand, rural mothers from the middle, richer and richest wealth quintiles (OR = 0.91, 95% CI = 0.86–0.97; OR = 0.84, 95% CI = 0.80–0.92; OR = 0.60, 95% CI = 0.55–0.66) and of age over 30 years (OR = 0.38., 95% CI = 0.36–0.39) were less likely to experience SBI. Analysis of spatial patterns revealed clear east-west differences in the prevalence of SBI. There was strong clustering of high values of SBI in most districts across the central, northern, western, and southern regions. The study suggests the need to introduce appropriate interventions and programs focused on reducing the prevalence of SBI in rural India

Breastfeeding · Confidence interval · Cross-sectional study · Logistic regression · Pregnancy · Rural area · Birth, Development, and Health · Demographic Trends and Gender Preferences · Demography · Global Maternal and Child Health · Medicine · Pediatrics

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