Sex Differences in Absolute Cardiovascular Risk Profiles Among Rural Midlife and Elderly Kenyans: Influence of Obesity, Physical Activity, Smoking, and Blood Pressure Control.

IF 1.3 4区 医学 Q4 MEDICINE, RESEARCH & EXPERIMENTAL
Jacob K Kariuki, Melinda Higgins, Moses Gitonga, Jordan Pelkmans, Simon Githui, Mary Wachira, Leah Gathogo, Cristina Molina Hidalgo, Vivien Wambugu, Samuel Kimani, Foster Osei Baah, Habtamu Abera, Lisa Thompson, Kirk Erickson
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引用次数: 0

Abstract

Background: Cardiovascular disease (CVD) will be the leading cause of mortality in Africa by 2030. Yet, little is known about the key drivers of CVD risk in the region. Objective: To examine the risk factors associated with CVD risk in a sample of rural midlife and elderly Kenyans. Methods: Cross-sectional study design. Data were collected following established protocols and included physical activity (PA), body mass index (BMI), waist circumference, blood pressure (BP), and self-reported medical history. Absolute CVD risk scores [Framingham risk scores (FRS)] were computed using non-lab-based Framingham algorithm. Descriptive and inferential statistics were used to evaluate factors associated with CVD risk scores and related sex-specific differences. Results: The sample (N = 102; mean age 59.8 ± 7.3 years; 57.8% female) was on average highly active (median 8891 steps/day) with 61.8% hypertension prevalence. Females versus males had higher BMI (29.2 vs. 24.8 kg/m2; P < 0.001) and central adiposity (84.8 vs. 18.6%; P < 0.001). However, they had lower systolic BP (129.3 vs. 138.3 mmHg; P = 0.032) and didn't smoke (0.0 vs. 11.6%; P = 0.012). Females also were 6.6 years younger (P < 0.001) and had fewer years of education (P < 0.001) and less PA (P = 0.046). Overall, 34.3% of the sample was at high risk of CVD (FRS ≥20%), but females had lower risk compared with males (median FRS 7.4 vs. 25.0%; P < 0.001). Higher CVD risk was associated with higher education (P < 0.001) and having adequate income (P = 0.048). When considering females separately, none of the sociodemographic characteristics or PA measures were associated with CVD risk, but for males, higher CVD risk was associated with higher education (P = 0.025) and lower PA (P = 0.009). Conclusion: Age, BMI, BP, and smoking partially explain sex differences in CVD risk burden. However, sex differences also exist with males being older with higher education-factors associated with higher CVD risk. More research is needed to examine factors associated with absolute CVD risk in females.

肯尼亚农村中年人和老年人绝对心血管风险概况的性别差异:肥胖、体育活动、吸烟和血压控制的影响
背景:到2030年,心血管疾病(CVD)将成为非洲死亡的主要原因。然而,人们对该地区心血管疾病风险的主要驱动因素知之甚少。目的:研究肯尼亚农村中老年人群中与心血管疾病风险相关的危险因素。方法:横断面研究设计。数据按照既定的方案收集,包括身体活动(PA)、体重指数(BMI)、腰围、血压(BP)和自我报告的病史。绝对心血管疾病风险评分[Framingham风险评分(FRS)]采用非实验室Framingham算法计算。描述性和推断性统计用于评价与CVD风险评分相关的因素和相关的性别差异。结果:样本(N = 102;平均年龄59.8±7.3岁;57.8%女性)平均高度活跃(平均8891步/天),高血压患病率为61.8%。女性的BMI高于男性(29.2 vs 24.8 kg/m2;P < 0.001)和中心性肥胖(84.8% vs. 18.6%;P < 0.001)。然而,他们的收缩压较低(129.3比138.3 mmHg;P = 0.032),不吸烟(0.0 vs. 11.6%;P = 0.012)。女性也比男性年轻6.6岁(P < 0.001),受教育年限更短(P < 0.001), PA更低(P = 0.046)。总体而言,34.3%的样本处于CVD高风险(FRS≥20%),但女性的风险低于男性(FRS中位数为7.4 vs 25.0%;P < 0.001)。较高的心血管疾病风险与高等教育(P < 0.001)和足够的收入(P = 0.048)相关。当单独考虑女性时,没有社会人口学特征或PA测量与CVD风险相关,但对于男性,较高的CVD风险与高等教育(P = 0.025)和较低的PA (P = 0.009)相关。结论:年龄、BMI、BP和吸烟可以部分解释心血管疾病风险负担的性别差异。然而,性别差异也存在于年龄越大、受教育程度越高的男性身上,这些因素与心血管疾病的高风险相关。需要更多的研究来检查与女性心血管疾病绝对风险相关的因素。
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来源期刊
Metabolic syndrome and related disorders
Metabolic syndrome and related disorders MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
3.40
自引率
0.00%
发文量
74
审稿时长
6-12 weeks
期刊介绍: Metabolic Syndrome and Related Disorders is the only peer-reviewed journal focusing solely on the pathophysiology, recognition, and treatment of this major health condition. The Journal meets the imperative for comprehensive research, data, and commentary on metabolic disorder as a suspected precursor to a wide range of diseases, including type 2 diabetes, cardiovascular disease, stroke, cancer, polycystic ovary syndrome, gout, and asthma. Metabolic Syndrome and Related Disorders coverage includes: -Insulin resistance- Central obesity- Glucose intolerance- Dyslipidemia with elevated triglycerides- Low HDL-cholesterol- Microalbuminuria- Predominance of small dense LDL-cholesterol particles- Hypertension- Endothelial dysfunction- Oxidative stress- Inflammation- Related disorders of polycystic ovarian syndrome, fatty liver disease (NASH), and gout
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