ArticleBMC public health2020
Bayesian spatial analysis of socio-demographic factors influencing pregnancy termination and its residual geographic variation among ever-married women of reproductive age in Bangladesh.
Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Meta-ERS: an exposome-based risk score using non-genetic factors to guide osteoporosis prevention.Journal of translational medicine · 2026Article
- Maternal and infant correlates of postpartum depression: a study from low socioeconomic communities in Karachi, Pakistan.BMC pregnancy and childbirth · 2026Article
- Investigating the factors associated with induced abortion in six nations from the global south.BMC public health · 2025Article
- Socioeconomic inequalities of pregnancy termination among reproductive age women in Bangladesh: a decomposition analysis using demographic and health survey.BMC research notes · 2024Article
- Predictors of Pregnancy Termination among Young Women in Ghana: Empirical Evidence from the 2014 Demographic and Health Survey Data.Healthcare (Basel, Switzerland) · 2021Article
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Abstract
backgroundUnsafe pregnancy termination is a major public health concern among reproductive-aged women in many developing countries. This study evaluated the socio-demographic characteristics, as well as residual spatial correlation in pregnancy termination among Bangladeshi women.
methodsSecondary data was obtained from the Bangladesh Demographic and Health Survey for the survey year 2014. Data included 17,863 samples of ever-married women between the ages of 15-49 years, which is a national representative sample in Bangladesh. Bayesian spatial logistic regression was used to assess the associations between socio-demographic characteristics and pregnancy termination. We flexibly modeled the non-linear effects of the continuous covariates while accounting for residual spatial correlation at the district level.
resultsOur findings revealed that about 19% of the respondents in Bangladesh reported ever had a pregnancy terminated. The risk of pregnancy termination was higher among women who had been working, had a higher wealth index, were in a conjugal relationship, had no children, were older and started their cohabitation earlier. Residual spatial patterns revealed the areas at a higher risk of pregnancy termination, including Panchagarh, Habiganj, and Sylhet after adjusting for covariates.
conclusionsPrevalence of pregnancy termination remains considerably high in Bangladesh. The study revealed significant associations of women's age at survey time, age at first cohabitation, occupational status, socio-economic status, marital status and the total number of children ever born with reporting having a history of terminated pregnancy among Bangladeshi ever-married women. The identified socio-demographic characteristics and districts at an increased likelihood of pregnancy termination can inform localized intervention and prevention strategies to improve the reproductive healthcare of women in Bangladesh.
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