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在孟加拉国,女性中途辍学是否会影响产前护理就诊?边缘化泊松-泊松混合模型的应用。

Does dropout from school matter in taking antenatal care visits among women in Bangladesh? An application of marginalized poisson-poisson mixture model.

机构信息

Department of Statistics, University of Dhaka, Dhaka, 1000, Bangladesh.

出版信息

BMC Pregnancy Childbirth. 2022 Jun 13;22(1):476. doi: 10.1186/s12884-022-04794-w.

Abstract

BACKGROUND

There exists a lack of research in explaining the link between dropout from school and antenatal care (ANC) visits of women during pregnancy in Bangladesh. The aim of this study is to investigate how the drop out from school influences the ANC visits after controlling the relevant covariates using an appropriate count regression model.

METHODS

The association between the explanatory variables and the outcome of interest, ANC visits, have been performed using one-way analysis of variance/independent sample t-test. To examine the adjusted effects of covariates on the marginal mean of count data, Marginalized Poison-Poisson mixture regression model has been fitted.

RESULTS

The estimated incidence rate of antenatal care visits was 10.6% lower for the mothers who were not continued their education after marriage but had at least 10 years of schooling (p-value <0.01) and 20.2% lower for the drop-outed mothers (p-value <0.01) than the mothers who got continued their education after marriage.

CONCLUSIONS

To ensure the WHO recommended 8+ ANC visits for the pregnant women of Bangladesh, it is essential to promote maternal education so that at least ten years of schooling should be completed by a woman and dropout from school after marriage should be prevented.

摘要

背景

在解释孟加拉国女性在怀孕期间因辍学而与产前护理(ANC)就诊之间的联系方面,缺乏研究。本研究旨在使用适当的计数回归模型,在控制相关协变量的情况下,研究辍学如何影响 ANC 就诊。

方法

使用单向方差分析/独立样本 t 检验来研究解释变量与因变量(ANC 就诊)之间的关联。为了检验协变量对计数数据的边缘均值的调整效果,拟合了边缘化泊松-泊松混合回归模型。

结果

与婚后继续接受教育的母亲相比,婚后未继续接受教育但至少接受过 10 年学校教育的母亲(p 值<0.01)和辍学者母亲(p 值<0.01)的产前护理就诊率估计分别低 10.6%和 20.2%。

结论

为了确保 WHO 为孟加拉国孕妇推荐的 8 次以上 ANC 就诊,促进女性教育至关重要,因此女性至少应完成 10 年学校教育,并应防止婚后辍学。

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