Transdisciplinary Center for Health Equity Research, Department of Health & Kinesiology, Texas A&M University, College Station, Texas, United States of America.
Post Graduate Studies, Masinde Muliro University of Science and Technology, Kakamega, Kenya.
PLoS One. 2019 Aug 19;14(8):e0221257. doi: 10.1371/journal.pone.0221257. eCollection 2019.
Cardiovascular disease is among the leading causes of death in Kenya and type II diabetes (T2D) is a growing chronic health concern in the country. However, a gap exists in examining how demographic and social characteristics coalesce to identify individuals at high risk for hypertension and/or T2D in Kenya. The current study examined demographic typologies associated with self-report diagnoses.
Nationally representative cross-sectional study using 43,898 individuals from the Kenya Demographic and Health Survey 2014. Main Outcome Measures were self-reported Hypertension and Type 2 Diabetes diagnosis. Descriptive analyses were conducted using STATA 14. Latent class analysis (LCA) was conducted using Mplus 7.4.
Approximately 5% reported hypertension and 1% reported T2D. Latent class analysis suggested a 4-class solution. The class with the highest likelihood to report previous diagnosis of hypertension (10.4%), consisted of high proportion of married adult women. The second highest prevalence of previous diagnosis of hypertension (4.4%) consisted of a high proportion of married middle aged men with high probability of being smokers. The results suggest that Kenyan women over 30 years may be at increased risk of hypertension compared to men. Future studies should include additional socio-demographic and behavioral characteristics to better understand gender differences in correlates for hypertension to be used for targeted and tailored health promotion-interventions.
心血管疾病是肯尼亚的主要死因之一，而 2 型糖尿病（T2D）在该国也是一个日益严重的慢性健康问题。然而，在研究人口统计学和社会特征如何共同作用以确定肯尼亚高血压和/或 T2D 高危人群方面存在差距。本研究检查了与自我报告诊断相关的人口统计学类型。
使用 2014 年肯尼亚人口与健康调查的 43898 名个体进行全国代表性的横断面研究。主要结局指标是自我报告的高血压和 2 型糖尿病诊断。使用 STATA 14 进行描述性分析。使用 Mplus 7.4 进行潜在类别分析（LCA）。
约 5%的人报告患有高血压，1%的人报告患有 T2D。潜在类别分析表明存在 4 类解决方案。报告先前高血压诊断的可能性最高的类别（10.4%），由大量已婚成年女性组成。其次是患有高血压的高比例（4.4%），由大量已婚中年男性组成，他们吸烟的可能性很高。结果表明，与男性相比，30 岁以上的肯尼亚女性可能面临更高的高血压风险。未来的研究应包括更多的社会人口统计学和行为特征，以更好地了解高血压相关因素中的性别差异，以便用于有针对性和量身定制的健康促进干预。
