Author:
Seifu Beminate Lemma,Tebeje Tsion Mulat,Asgedom Yordanos Sisay,Asmare Zufan Alamrie,Asebe Hiwot Altaye,Kase Bizunesh Fantahun,Shibeshi Abdu Hailu,Sabo Kebede Gemeda,Fente Bezawit Melak,Mare Kusse Urmale
Abstract
Abstract
Background
Women’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.
Method
The 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.
Results
The 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.
Conclusion
As 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.
Publisher
Springer Science and Business Media LLC
Subject
Public Health, Environmental and Occupational Health
Reference36 articles.
1. World Health Organization. Maternal mortality [Internet]. 2023. Available from: https://www.who.int/news-room/fact-sheets/detail/maternal-mortality.
2. Johnston RB. Arsenic and the 2030 Agenda for sustainable development. Arsen Res Glob Sustain - Proc 6th Int Congr Arsen Environ AS. 2016. 2016;12–4.
3. UNICEF. Maternal mortality [Internet]. 2023. Available from: https://data.unicef.org/topic/maternal-health/maternal-mortality/#:~:text=Maternal mortality refers to deaths due to complications,annual rate of reduction of 2.1 per cent.
4. Survey H, Report KI. Kenya Demographic and Health Survey 2022 Key Indicators Report. 2022.
5. Kenya U. Maternal Health [Internet]. 2023. Available from: https://kenya.unfpa.org/en/topics/maternal-health16#:~:text=The maternal mortality ratio%2 C the number of women,dying annually due to pregnancy and childbirth complications.