埃塞俄比亚西南部代谢综合征患者血脂异常的预测因素：一项横断面研究。
Predictors of Lipid Profile Abnormalities Among Patients with Metabolic Syndrome in Southwest Ethiopia: A Cross-Sectional Study.
机构信息
Department of Medical Laboratory Science, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia.
Department of Biomedical Science, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia.
出版信息
Vasc Health Risk Manag. 2021 Aug 8;17:461-469. doi: 10.2147/VHRM.S319161. eCollection 2021.
BACKGROUND
Lipid profile abnormalities are an integral part of metabolic syndrome (MetS) and major underlying causes of cardiovascular disease (CVD) and type-2 diabetes mellitus (T2DM). Lipid profile abnormalities in a patient with MetS are resulted due to the presence of central obesity and insulin resistance. In Ethiopia, the burden and predictors of lipid profile abnormalities in a patient with MetS are not well known. Thus, this study aimed to determine the prevalence of lipid profile abnormalities and predictors among patients with MetS in southwest Ethiopia.
METHODS AND MATERIALS
A cross-sectional study was conducted among 381 patients with MetS from September to December 2019 with a response rate of 100%. A structured questionnaire was used to collect data on socio-demographic and behavioral factors. Waist circumference, height, weight, and blood pressures were measured. The venous blood sample was collected for glucose and lipid profile determination. Data were entered and analyzed by using SPSS version 21. Binary logistic regression and Pearson's correlation analyses were performed. A p-value was set at a <0.05 for statistical significance.
RESULTS
In this study, about 58% of participants were at least one or more lipid profile abnormalities with the 95% CI (52.8-62.7). About 67.2%, 44.6%,18.4%, and 14.2% of study participants were low HDL, high TG, LDL, and TC, respectively. Central obesity (adjusted odds ratio (AOR): 1.89, 95% CI: 1.14-3.14), increasing age (AOR: 2.08, 95% CI: 1.27-3.4), higher BMI (AOR: 2.06, 95% CI: 1.23-3.4), being hypertensive (AOR: 3.48, 95% CI: 2.12-5.7) and increasing blood glucose level (AOR: 2.34, 95% CI: 1.36-4.03) were independent predictors of lipid profile abnormalities (dyslipidemia).
CONCLUSION
In this study area, a high (58%) prevalence of dyslipidemia was observed in study participants, and increasing age, higher BMI, central obesity, hypertension, and high blood glucose level were identified as independent predictors of dyslipidemia among patients with MetS. Prevention and control of dyslipidemia and its predictors among patients with MetS were recommended.
背景
脂质谱异常是代谢综合征（MetS）的一个组成部分，也是心血管疾病（CVD）和 2 型糖尿病（T2DM）的主要潜在原因。MetS 患者的脂质谱异常是由于中心性肥胖和胰岛素抵抗引起的。在埃塞俄比亚，MetS 患者脂质谱异常的负担和预测因素尚不清楚。因此，本研究旨在确定西南埃塞俄比亚 MetS 患者脂质谱异常的患病率和预测因素。
方法和材料
本研究为 2019 年 9 月至 12 月期间进行的横断面研究，共纳入 381 例 MetS 患者，应答率为 100%。采用结构化问卷收集社会人口学和行为因素数据。测量腰围、身高、体重和血压。采集静脉血样检测血糖和血脂谱。数据采用 SPSS 版本 21 录入和分析。采用二项逻辑回归和 Pearson 相关性分析。p 值<0.05 为统计学意义。
结果
本研究中，约 58%的参与者至少存在一种或多种脂质谱异常，95%CI（52.8-62.7）。研究参与者中约 67.2%、44.6%、18.4%和 14.2%分别为低 HDL、高 TG、LDL 和 TC。中心性肥胖（调整后的优势比（AOR）：1.89，95%CI：1.14-3.14）、年龄增长（AOR：2.08，95%CI：1.27-3.4）、较高的 BMI（AOR：2.06，95%CI：1.23-3.4）、高血压（AOR：3.48，95%CI：2.12-5.7）和血糖水平升高（AOR：2.34，95%CI：1.36-4.03）是脂质谱异常（血脂异常）的独立预测因素。
结论
在本研究地区，研究参与者中血脂异常的患病率较高（58%），年龄增长、较高的 BMI、中心性肥胖、高血压和高血糖水平被确定为 MetS 患者血脂异常的独立预测因素。建议在 MetS 患者中预防和控制血脂异常及其预测因素。
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