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利用孟加拉国全国代表性调查探索短生育间隔热点及其相关因素。

Exploring hot spots of short birth intervals and associated factors using a nationally representative survey in Bangladesh.

机构信息

Department of Population Science, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, Bangladesh.

Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi, Bangladesh.

出版信息

Sci Rep. 2022 Jun 9;12(1):9551. doi: 10.1038/s41598-022-13193-2.

Abstract

Short Birth Interval (SBI, defined as < 33 months interval between the two most recent births or < 24 months between one live birth to the next pregnancy) is a public health problem in most low- and lower-middle-income countries. Understanding geographic variations in SBI, particularly SBI hot spots and associated factors, may help intervene with tailored programs. This study identified the geographical hot spots of SBI in Bangladesh and the factors associated with them. We analyzed women's data extracted from the 2017/18 Bangladesh Demographic and Health Survey and the healthcare facility data extracted from the 2017 Service Provision Assessment. SBI was the outcome variable, and it was defined as an interval between consecutive births of 33 months or less, as recommended by the World Health Organization. The characteristics of mothers and their partners were the explanatory variables. Moran's I was used to examine the spatial variation of SBI in Bangladesh whereas the Getis-Ord Formula: see text was used to determine the hot spots of SBI. The Geographical Weighted Regression (GWR) was used to assess the predictors of SBI at the enumeration areas' level. The variables included in the GWR were selected using the exploratory regression and ordinary least square regression model. Data of 5941 women were included in the analyses. Around 26% of the total births in Bangladesh had occurred in short intervals. A majority of the SBI hot spots were found in the Sylhet division, and almost all SBI cold spots were in the Rajshahi and Khulna divisions. No engagement with formal income-generating activities, high maternal parity, and history of experiencing the death of a child were significantly associated with SBI in the Sylhet division. Women's age of 34 years or less at the first birth was a protective factor of SBI in the Rajshahi and Khulna divisions. The prevalence of SBI in Bangladesh is highly clustered in the Sylhet division. We recommend introducing tailored reproductive health care services in the hot spots instead of the existing uniform approach across the country.

摘要

短生育间隔(SBI,定义为最近两次分娩之间的间隔<33 个月,或一次活产与下一次妊娠之间的间隔<24 个月)是大多数低收入和中低收入国家的一个公共卫生问题。了解 SBI 的地理差异,特别是 SBI 热点及其相关因素,可能有助于制定有针对性的干预计划。本研究确定了孟加拉国 SBI 的地理热点及其相关因素。我们分析了从 2017/18 年孟加拉国人口与健康调查中提取的妇女数据和从 2017 年服务提供评估中提取的医疗保健设施数据。SBI 是作为结果变量,其定义为连续分娩之间的间隔为 33 个月或更短,这是世界卫生组织推荐的。母亲及其伴侣的特征是解释变量。Moran's I 用于检验孟加拉国 SBI 的空间变化,而 Getis-Ord Formula: see text 用于确定 SBI 的热点。地理加权回归(GWR)用于评估在计数区层面 SBI 的预测因素。纳入 GWR 的变量是使用探索性回归和普通最小二乘回归模型选择的。分析包括了 5941 名妇女的数据。孟加拉国约 26%的总分娩发生在短间隔内。大多数 SBI 热点位于锡尔赫特地区,几乎所有 SBI 冷点都位于拉杰沙希和库尔纳地区。在锡尔赫特地区,没有参与正规创收活动、高产妇生育次数和经历过子女死亡的历史与 SBI 显著相关。在拉杰沙希和库尔纳地区,妇女首次分娩年龄在 34 岁或以下是 SBI 的保护因素。孟加拉国 SBI 的流行率在锡尔赫特地区高度聚集。我们建议在热点地区引入定制的生殖保健服务,而不是在全国范围内采用现有的统一方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc40/9184619/921377bb4777/41598_2022_13193_Fig1_HTML.jpg

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