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利用多层次逻辑回归分析孟加拉国产后护理的影响因素。

Determining the influential factors of postnatal care in Bangladesh using multilevel logistic regression.

机构信息

Department of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, Bangladesh.

出版信息

PLoS One. 2024 Nov 7;19(11):e0313424. doi: 10.1371/journal.pone.0313424. eCollection 2024.

Abstract

BACKGROUND

Postnatal care (PNC) is the care of a newborn and mother for up to six weeks from one hour of placenta birth. The postnatal period is one of the most hazardous stages for mothers and their baby's health. The PNC is influenced by several maternal, family, biological, and socio-economic factors and it is necessary to identify the most significant factors of PNC. Therefore, the authors focus on determining the significant determinants of postnatal care in Bangladesh.

METHODS AND MATERIALS

This study is based on a secondary dataset extracted from the Bangladesh Demographic and Health Survey (BDHS)-2017/18. Descriptive statistics, chi-square test, and multilevel logistic regression have been used to determine the contributing factors of PNC.

RESULTS

The rate of postnatal care was highest in Sylhet (73.7%) and lowest in Dhaka (57.1%). Female babies had 10.1% less odds of having postnatal care than male babies. Findings depict that the children with 1-3 siblings have 1. 82 times more odds (odds ratio (OR):1.82, 95% confidence interval (CI):0.03-3.21) of PNC than babies without any siblings. Children who suffered from fever recently had 1.25 times (OR = 1.25, 95% CI:1.09-1.45) more odds of taking PNC than their counterparts. Children of working mothers had 1.33 times (OR:1.33, 95% CI:1.14-1.56) more odds of having PNC than children of non-working mothers.

CONCLUSION

The sex of a child, birth order number, place of residence, region, receiving Bacillus Calmette-Guérin (BCG) vaccine, number of antenatal care visits, having fever recently, number of household members, media exposure, and household facilities are significantly linked with PNC in Bangladesh. To ensure the good health of a child, it is necessary to focus on the targeted groups and put emphasis on the identified variables. The authors believe that the findings will be helpful to the policymakers of Bangladesh to lessen childhood morbidities which will be helpful in achieving the target of the Sustainable Development Goals (SDGs) for reducing preventable maternal and under-five deaths by 2030.

摘要

背景

产后护理(PNC)是指从胎盘出生后一小时起,对新生儿和母亲进行长达六周的护理。产后阶段是母亲及其婴儿健康最危险的阶段之一。PNC 受到许多产妇、家庭、生物和社会经济因素的影响,因此有必要确定 PNC 的最重要因素。因此,作者们专注于确定孟加拉国产后护理的重要决定因素。

方法和材料

本研究基于从 2017/18 年孟加拉国人口与健康调查(BDHS)中提取的二次数据集。使用描述性统计、卡方检验和多水平逻辑回归来确定 PNC 的促成因素。

结果

PNC 率在锡尔赫特最高(73.7%),在达卡最低(57.1%)。女婴接受 PNC 的可能性比男婴低 10.1%。调查结果表明,有 1-3 个兄弟姐妹的儿童接受 PNC 的可能性是没有任何兄弟姐妹的儿童的 1.82 倍(优势比(OR):1.82,95%置信区间(CI):0.03-3.21)。最近发烧的儿童接受 PNC 的可能性比他们的同龄人高 1.25 倍(OR=1.25,95%CI:1.09-1.45)。母亲工作的儿童接受 PNC 的可能性比母亲不工作的儿童高 1.33 倍(OR:1.33,95%CI:1.14-1.56)。

结论

儿童的性别、出生顺序数、居住地、地区、接种卡介苗(BCG)疫苗、产前护理次数、最近发烧、家庭人数、媒体接触和家庭设施与孟加拉国的 PNC 显著相关。为了确保儿童的健康,有必要关注目标群体,并重视已确定的变量。作者相信,这些发现将有助于孟加拉国的政策制定者减少儿童发病率,这将有助于实现到 2030 年减少可预防的孕产妇和五岁以下儿童死亡的可持续发展目标(SDGs)目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5d7/11542818/14e814942d31/pone.0313424.g001.jpg

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