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Bayesian spatial analysis of socio-demographic factors influencing pregnancy termination and its residual geographic variation among ever-married women of reproductive age in Bangladesh

机译:孟加拉国生殖年龄未婚妇女对妊娠终止的社会人口因子及其残留地理变异的贝叶斯空间分析

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Unsafe 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. Secondary 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. Our 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. Prevalence 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.
机译:不安全的怀孕终止是许多发展中国家生殖年龄妇女的主要公共卫生问题。本研究评估了孟加拉国女性的妊娠期终止中的社会人口统计学特征,以及妊娠终止的残余空间相关性。二次数据是从2014年调查年度调查年度的孟加拉国人口和健康调查获得。数据包括17,863名已婚妇女的样本,年龄在15-49岁之间,这是孟加拉国的全国代表性样本。贝叶斯空间逻辑回归用于评估社会人口统计特征与妊娠终止之间的协会。我们灵活地模仿连续协变量的非线性效果,同时占地区级别的残留空间相关性。我们的调查结果显示,孟加拉国约有19%的受访者报告曾经终止了怀孕。妊娠期终止的风险较高,妇女在工作中有更高的财富指数,在一个夫妇关系中,没有孩子,更老了,开始了他们的同居。残留的空间模式揭示了妊娠期终止风险较高的区域,包括在调整协变量后的Panchagarh,Habiganj和Sylhet。孟加拉国妊娠终止的患病率仍然很高。该研究揭示了妇女年龄在调查时间,第一次同居,职业地位,社会经济地位,婚姻状况以及出生的儿童总数的重要协会,并在孟加拉国未婚妇女中终止怀孕历史终止的报道。令人透露的社会人口统计学特征和地区的妊娠终止可能性增加,可以向局部干预和预防策略提供完善孟加拉国妇女的生殖医疗保健。

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