ArticleBMC public health2023
Determinants of high-risk fertility behavior among women of reproductive age in Kenya: a multilevel analysis based on 2022 Kenyan demographic and health survey.
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 11 citations in OpenAlex.
- Article
- High-Risk Fertility Behavior and Its Associated Factors Among Women in Wad Madani Maternity Hospital, Sudan: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2026Article
- High-risk fertility behavior among reproductive age women in extremely high and very high maternal mortality sub-Saharan African countries.Reproduction & fertility · 2026Article
- Article
- Maternal mortality ratios in Southeast Asia (1990-2021): trends, disparities, and projections through 2050 based on the global burden of disease 2021, with reference to SDG 3.1.BMC pregnancy and childbirth · 2025Article
- Prevalence and Associated Factors of Underweight among Women of Reproductive Age in Rwanda: Analysis of the Rwanda Demographic and Health Survey 2019/2020.Rwanda journal of medicine and health sciences · 2025Article
- Individual, household, and community-level factors associated with high-risk fertility behaviour among Nigerian women: secondary analysis of the 2018 demographic and health survey data.Reproductive health · 2025Article
- Grand multiparity and its associated factors in Zambia: Evidence from the 2018 Zambia Demographic and Health Survey.PLOS global public health · 2025Article
- Utilization of maternal health care services among pastoralist communities in Marsabit County, Kenya: a cross-sectional survey.Reproductive health · 2024Observational
- High-risk fertility behaviors and associated factors among married reproductive-age women in sub-Saharan Africa: A multilevel mixed-effect analysis of nationally representative data from 35 countries.PLOS global public health · 2024Article
- Geo-spatial analysis of high-risk fertility behaviors and child stunting in Ethiopia.Frontiers in public health · 2024Article
- Socioeconomic inequalities in high-risk fertility behaviour among Nigerian women: A non-experimental population-based study.PloS one · 2024Article
- Article
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10 authors at 5 institutions in 1 country.
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Abstract
backgroundWomen's high-risk fertility behavior (HRFB), which is characterized by narrow birth intervals, high birth order, and younger maternal age at birth, have been scientifically reported to have detrimental effects on the mother and child's health. To date, there has been limited research into the underlying factors contributing to high-risk fertility behavior in Kenya. Thus, the aim of this study is to identify the factors associated with high-risk fertility behavior among women of reproductive age in Kenya.
methodThe 2022 Kenyan Demography and Health Survey data was used for the current study. This study included 15,483 women of reproductive age. To account for the clustering effects of DHS data and the binary nature of the outcome variable, a multilevel binary logistic regression model was applied. An adjusted odds ratio with a 95% confidence interval was reported to declare the statistical significance. In addition, the model that had the lowest deviance was the one that best fit the data.
resultsThe overall prevalence of HRFB among Kenyan women were 70.86% (95%CI = 69.96, 71.40). Women with primary, secondary, and higher educational levels, Protestant and Muslim religion followers, women whose husbands/partners had secondary and higher educational levels, a high household wealth index, ever had a terminated pregnancy, and rural residence, all of these factors were found to be strongly associated with high-risk fertility behavior.
conclusionAs per the findings of our study, in Kenya a significant proportion of women has experienced HRFB. This is a matter of concern as it poses a significant challenge to the healthcare system. The high prevalence of HRFB indicates that there is an urgent need to take appropriate measures in order to mitigate its impact. The situation calls for a comprehensive and coordinated approach involving all stakeholders to address this issue effectively. It would benefit policymakers to create programs that consider factors like education, wealth, and residence that make women more susceptible to HRFB. Targeting women living in high HRFB-prevalence areas could help address the root causes of the issue. This approach can alleviate negative impacts and ensure effective and sustainable solutions.
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