Creating reproductive health behavioral profiles for women of reproductive age in Niger using cross-sectional survey data: A latent class analysis

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Article (peer-reviewed)

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Objectives: To identify health behavioral profiles for women of reproductive age in Niger. Methods: 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. Results: 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. Conclusion: The application of empirical subgrouping analysis permits an informed approach to targeted interventions and resource allocation for optimizing maternal and reproductive health.






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