Population Council, New York, NY, United States.
Avenir Health, Glasonbury, CT, United States.
Int J Public Health. 2023 Jan 24;68:1605247. doi: 10.3389/ijph.2023.1605247. eCollection 2023.
To identify health behavioral profiles for women of reproductive age in Niger. We interviewed married women of reproductive age in Niger in April 2021 (N = 2,709). Latent class analysis based on sociodemographic and behavioral determinants was used to identify classes of women related to use of antenatal care, facility delivery, and modern family planning (FP) use. We found similar classes between the use of antenatal care and facility-based delivery classes with the first class composed of less educated and poor women with weaker behavioral determinants while the second class was more educated and had stronger behavioral determinants. In the facility-based delivery class was the presence of a third class that was poor and uneducated with low levels of knowledge and social norms, but in contrast had much higher levels of positive attitudes, self-efficacy, and partner communication than the first class. A fourth class of younger, more educated women with strong behavioral determinants emerged related to FP. The application of empirical subgrouping analysis permits an informed approach to targeted interventions and resource allocation for optimizing maternal and reproductive health.
为了确定尼日尔育龄妇女的健康行为特征。我们于 2021 年 4 月对尼日尔的育龄已婚妇女进行了访谈(N=2709)。基于社会人口学和行为决定因素的潜在类别分析用于确定与使用产前护理、医疗机构分娩和现代计划生育(FP)相关的妇女类别。我们发现,产前护理和基于机构的分娩使用之间存在类似的类别,第一类由受教育程度较低和较贫困的妇女组成,行为决定因素较弱,而第二类受教育程度较高,行为决定因素较强。在基于机构的分娩类别中存在第三类,她们贫穷且未受教育,知识和社会规范水平较低,但与第一类相比,她们具有更高水平的积极态度、自我效能感和与伴侣的沟通。第四类是与 FP 相关的年轻、受教育程度较高、行为决定因素较强的妇女。实证亚组分析的应用允许采取有针对性的干预措施和资源分配的方法,以优化母婴健康。