Prevalence Trends and the Associated Factors of Female Genital Mutilation in Kenya: A study based on Demographic and Health Survey

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Female genital mutilation prevalence in Kenya decreased from 32.2% in 2003 to 14.8% in 2022, associated with age, region, education, religion, and wealth.

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This paper analyzed trends and associated factors of female genital mutilation/cutting among women aged 15–49 in Kenya using four waves of Kenya Demographic and Health Surveys (2003, 2008–09, 2014, and 2022) with descriptive trend/prevalence analyses and logistic regression to identify predictors. The prevalence decreased from 32.2% in 2003 to 14.8% in 2022, and factors significantly associated with FGM/C included age, region, place of residence, education, religion, and wealth index, with being Muslim showing higher odds (aOR = 16.12) and higher education showing lower odds (aOR = 0.15). The major caveat explicitly noted is that it is based on cross-sectional survey data across time waves rather than a longitudinal design, limiting causal inference. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract Introduction: Female genital mutilation/Cutting (FGM/C) is a global health issue that has severe social and psychological consequences for women and girls. In Kenya, the prevalence of FGM/C varies by area and time. FGM/C is considered a violation of human rights, and studies demonstrate that it is done in a variety of places. This study seeks to investigate the prevalence trends of FGM/C and the associated factors among productive-aged women in Kenya. The purpose of the study is to identify the prevalence trends of the practice of female genital mutilation and the associated factors among women in Kenya through the four waves of Kenya Demographic Health Surveys (KDHS). Methods : Secondary data analysis was performed using the KDHS: 2003 (n=8175), 2008-09 (n=8442), 2014 (n=14621), and 2022 (n=16721) for women of reproductive age (15-49). Using the KDHS data, the level of significance was set at p-value < 0.05. A multivariate logistic regression analysis was also conducted to determine variables influencing FGM/C. The study was performed considering weighting, clustering, and stratifications using Stata 18 software to compensate for potential confounders. Results : The prevalence of FGM among women of productive age in Kenya decreased from 32.2% in 2003 to 14.8% in 2022. Age, region, type of place of residence, education, marital status, religion, and wealth index were found to be significantly associated with FGM/C. The current FGM/C status of a woman was also a significant predictor of support for the continuation of FGM/C. Being Muslim (aOR=16.12; 95% CI:8.29-31.25) and attending higher education (aOR =0.15; 95% CI: 0.10-0.24) were factors that affected the prevalence of FGM/C. Conclusion : The KDHS statistics from 2003 to 2022 give valuable information on the prevalence of FGM/C in the country and regional differences. From 2003 to 2018, the prevalence of FGM in Kenya decreased dramatically. Further reduction is expected due to lower rates and a more significant decline in younger age groups. Women's education levels significantly influence reducing prevalence and should be included in future efforts to outlaw the practice. A combined and comprehensive strategy based on the identified causes is proposed to combat FGM/C in Kenya.
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Trends and the Associated Factors of Female Genital Mutilation in Kenya: A Study Based on Demographic and Health Survey | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Trends and the Associated Factors of Female Genital Mutilation in Kenya: A Study Based on Demographic and Health Survey James Njuguna Wanjiru, Charles Karanja Wanjiku, Munawar Harun Koray This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5510378/v2 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 06 Aug, 2025 Read the published version in Discover Public Health → Version 2 posted 7 You are reading this latest preprint version Show more versions Abstract ABSTRACT Introduction: Female genital mutilation/Cutting (FGM/C) is a global health issue that has severe social and psychological consequences for women and girls. In Kenya, the prevalence of FGM/C varies by area and time. This study investigates the trends of FGM/C and the associated factors among reproductive-aged women in Kenya through four waves of Kenya Demographic Health Surveys (KDHS) from 2003 to 2022. Methods: The study employed a cross-sectional study using data from the KDHS from 2003 to 2022. The study sample included 2003 (n=8175), 2008-09 (n=8442), 2014 (n=14621), and 2022 (n=16721) for women of reproductive age (15-49). Descriptive analysis was used to summarise the trend and prevalence of FGM/C. A logistic regression analysis was used to identify predictors of FGM/C. The level of significance was set at p-value < 0.05, at 95% confidence interval. Results: The prevalence of FGM/C among women of productive age in Kenya decreased from 32.2% in 2003 to 14.8% in 2022. Age, region, type of place of residence, education, religion, and wealth index were found to be significantly associated with FGM/C. Being Muslim (aOR=16.12; 95% CI:8.29-31.25) and attending higher education (aOR =0.15; 95% CI: 0.10-0.24) were factors that affected the prevalence of FGM/C. Conclusion: FGM/C prevalence in Kenya significantly decreased from 2003 to 2018, with further reduction expected, especially among younger age groups. Women's education plays a crucial role in this decline and should be prioritized in efforts to eliminate the practice. A multifaceted strategy addressing root causes is recommended. Female Genital Mutilation/Cutting Kenya Demographic Health Survey Prevalence Trends Associated Factors Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 06 Aug, 2025 Read the published version in Discover Public Health → Version 2 posted Editorial decision: Revision requested 18 Jun, 2025 Editor assigned by journal 21 Apr, 2025 Reviews received at journal 17 Apr, 2025 Reviewers agreed at journal 17 Apr, 2025 Reviewers invited by journal 18 Mar, 2025 Submission checks completed at journal 10 Mar, 2025 First submitted to journal 17 Feb, 2025 You are reading this latest preprint version Show more versions Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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