title: The influence of birth spacing on child survival in Bangladesh: a life table approach.
abstract: In this paper we have attempted to demonstrate the relationship between birth spacing and child survival in Bangladesh using data from the 2004 Bangladesh Demographic Health Survey (BDHS). We used standard life table techniques to estimate the probability of child survival and appropriate spacing of births. Logistic regression models were used to investigate the covariates, along with the birth interval that has significant influence on child survival. Study results showed that the probability of child survival was much lower when the preceding birth interval was less than 12 months, and it may be also impeded by a higher birth interval. Child survival probability was highest for a preceding birth interval of 5 years; thereafter, the probability declined. Results of the logistic regression model clearly showed that preceding birth interval was an important and strongly significant factor in explaining infant and child mortality. While education, current age, breastfeeding status and birth order were substantial and highly significant factors both in infant and child mortality, socio-economic factors such as occupation and socio-economic status showed a significant effect only on child mortality. Postponing another child (for a birth interval of 5 years and above) and proper spacing of births would have a noticeable effect in reducing the level of mortality.
authors.affiliation: Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi-6205, Bangladesh.
authors.forename: Shamima
authors.initials: S
authors.lastname: Akter
authors.forename: J A M Shoquilur
authors.initials: JA
authors.lastname: Rahman
authors.forename: Md Mizanur
authors.initials: MM
authors.lastname: Rahman
authors.forename: Samad
authors.initials: S
authors.lastname: Abedin
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D001459:Bangladesh / Q000453:epidemiology; D001721:Birth Intervals / Q000706:statistics & numerical data*; D002648:Child; D046688:Child Mortality; D002675:Child, Preschool; D003906:Developing Countries; D005260:Female; D006306:Health Surveys; D006801:Humans; D007223:Infant; D007226:Infant Mortality; D007231:Infant, Newborn; D015993:Life Tables; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009035:Mothers / Q000523:psychology; D012307:Risk Factors; D012959:Socioeconomic Factors; D016019:Survival Analysis; D055815:Young Adult