Kobi V Ajayi, Obasanjo Bolarinwa, Toluwani E Adekunle, Oluwatobi Abel Alawode, Nanyangwe Siuluta, Sinegugu Shongwe, Edyta McCallum
{"title":"肯尼亚育龄妇女早产的患病率和决定因素:对2022年人口健康调查的多层次分析。","authors":"Kobi V Ajayi, Obasanjo Bolarinwa, Toluwani E Adekunle, Oluwatobi Abel Alawode, Nanyangwe Siuluta, Sinegugu Shongwe, Edyta McCallum","doi":"10.1177/26334941251327181","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Globally, over 15 million preterm births (PTB) occur annually, with sub-Saharan Africa bearing a disproportionate burden. In Kenya, studies conducted between 2017 and 2021 at the hospital level show a PTB prevalence ranging from 15.9% to 20.2%. However, current PTB prevalence and associated factors remain underexplored despite their significant public health implications. Understanding the prevalence and factors associated with PTB is critical for effective interventions.</p><p><strong>Objectives: </strong>This study aimed to determine the prevalence of PTB and also to identify individual- and community-level factors influencing PTB among women of reproductive age in Kenya.</p><p><strong>Design: </strong>The study utilised a cross-sectional design, analysing data from the 2022 Kenya Demographic and Health Survey.</p><p><strong>Methods: </strong>A sample of 7291 women aged 15-49 was analysed using weighted multilevel logistic regression in Stata 17.0. Adjusted odds ratios (aOR) with 95% confidence intervals (CI) and a significance threshold of <i>p</i> < 0.05 were used to identify predictors of PTB.</p><p><strong>Results: </strong>The prevalence of PTB was 7.14%. Women aged 25-34 (aOR = 0.67; 95% CI: 0.49-0.94) and 35+ (aOR = 0.86; 95% CI: 0.59-1.24) were less likely to experience PTB compared to younger women (15-24 years). Attending four or more antenatal care visits reduced PTB likelihood (aOR = 0.68; 95% CI: 0.53-0.88). Women in the richest wealth index had higher odds of PTB (aOR = 2.28; 95% CI: 1.39-3.74), while medium community literacy levels increased PTB risk (aOR = 1.56; 95% CI: 1.21-2.03).</p><p><strong>Conclusion: </strong>This study highlights that individual- and community-level factors significantly influence PTB in Kenya. Addressing disparities in socio-demographic and obstetric factors through targeted, multipronged strategies is essential for reducing PTB rates and improving maternal and neonatal outcomes.</p>","PeriodicalId":75219,"journal":{"name":"Therapeutic advances in reproductive health","volume":"19 ","pages":"26334941251327181"},"PeriodicalIF":3.1000,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11926847/pdf/","citationCount":"0","resultStr":"{\"title\":\"Prevalence and determinants of preterm birth among women of reproductive age in Kenya: a multilevel analysis of the 2022 Demographic Health Survey.\",\"authors\":\"Kobi V Ajayi, Obasanjo Bolarinwa, Toluwani E Adekunle, Oluwatobi Abel Alawode, Nanyangwe Siuluta, Sinegugu Shongwe, Edyta McCallum\",\"doi\":\"10.1177/26334941251327181\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Globally, over 15 million preterm births (PTB) occur annually, with sub-Saharan Africa bearing a disproportionate burden. In Kenya, studies conducted between 2017 and 2021 at the hospital level show a PTB prevalence ranging from 15.9% to 20.2%. However, current PTB prevalence and associated factors remain underexplored despite their significant public health implications. Understanding the prevalence and factors associated with PTB is critical for effective interventions.</p><p><strong>Objectives: </strong>This study aimed to determine the prevalence of PTB and also to identify individual- and community-level factors influencing PTB among women of reproductive age in Kenya.</p><p><strong>Design: </strong>The study utilised a cross-sectional design, analysing data from the 2022 Kenya Demographic and Health Survey.</p><p><strong>Methods: </strong>A sample of 7291 women aged 15-49 was analysed using weighted multilevel logistic regression in Stata 17.0. Adjusted odds ratios (aOR) with 95% confidence intervals (CI) and a significance threshold of <i>p</i> < 0.05 were used to identify predictors of PTB.</p><p><strong>Results: </strong>The prevalence of PTB was 7.14%. Women aged 25-34 (aOR = 0.67; 95% CI: 0.49-0.94) and 35+ (aOR = 0.86; 95% CI: 0.59-1.24) were less likely to experience PTB compared to younger women (15-24 years). Attending four or more antenatal care visits reduced PTB likelihood (aOR = 0.68; 95% CI: 0.53-0.88). Women in the richest wealth index had higher odds of PTB (aOR = 2.28; 95% CI: 1.39-3.74), while medium community literacy levels increased PTB risk (aOR = 1.56; 95% CI: 1.21-2.03).</p><p><strong>Conclusion: </strong>This study highlights that individual- and community-level factors significantly influence PTB in Kenya. Addressing disparities in socio-demographic and obstetric factors through targeted, multipronged strategies is essential for reducing PTB rates and improving maternal and neonatal outcomes.</p>\",\"PeriodicalId\":75219,\"journal\":{\"name\":\"Therapeutic advances in reproductive health\",\"volume\":\"19 \",\"pages\":\"26334941251327181\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11926847/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Therapeutic advances in reproductive health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/26334941251327181\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"OBSTETRICS & GYNECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Therapeutic advances in reproductive health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/26334941251327181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
Prevalence and determinants of preterm birth among women of reproductive age in Kenya: a multilevel analysis of the 2022 Demographic Health Survey.
Background: Globally, over 15 million preterm births (PTB) occur annually, with sub-Saharan Africa bearing a disproportionate burden. In Kenya, studies conducted between 2017 and 2021 at the hospital level show a PTB prevalence ranging from 15.9% to 20.2%. However, current PTB prevalence and associated factors remain underexplored despite their significant public health implications. Understanding the prevalence and factors associated with PTB is critical for effective interventions.
Objectives: This study aimed to determine the prevalence of PTB and also to identify individual- and community-level factors influencing PTB among women of reproductive age in Kenya.
Design: The study utilised a cross-sectional design, analysing data from the 2022 Kenya Demographic and Health Survey.
Methods: A sample of 7291 women aged 15-49 was analysed using weighted multilevel logistic regression in Stata 17.0. Adjusted odds ratios (aOR) with 95% confidence intervals (CI) and a significance threshold of p < 0.05 were used to identify predictors of PTB.
Results: The prevalence of PTB was 7.14%. Women aged 25-34 (aOR = 0.67; 95% CI: 0.49-0.94) and 35+ (aOR = 0.86; 95% CI: 0.59-1.24) were less likely to experience PTB compared to younger women (15-24 years). Attending four or more antenatal care visits reduced PTB likelihood (aOR = 0.68; 95% CI: 0.53-0.88). Women in the richest wealth index had higher odds of PTB (aOR = 2.28; 95% CI: 1.39-3.74), while medium community literacy levels increased PTB risk (aOR = 1.56; 95% CI: 1.21-2.03).
Conclusion: This study highlights that individual- and community-level factors significantly influence PTB in Kenya. Addressing disparities in socio-demographic and obstetric factors through targeted, multipronged strategies is essential for reducing PTB rates and improving maternal and neonatal outcomes.