[加勒比地区非糖尿病患者代谢综合征中的高血压]。

L. Foucan, J. Vaillant
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引用次数: 1

摘要

目的研究加勒比地区非糖尿病患者代谢综合征(MS)的组成,并确定有无MS患者的高血压(HT)程度。研究方法我们对966名年龄在18-74岁之间的连续受试者进行了横断面研究。根据NCEP/ATpiiI定义鉴定质谱。年龄、性别、体重指数和MS成分(血压、腰围、空腹血糖、甘油三酯、高密度脂蛋白胆固醇)被考虑在内。使用主成分分析(PCA)来了解数据库中这些连续变量之间的相关性,并确定主因素(变量组合)和这些组合中HT的大小。结果总研究人群平均年龄38岁,女性占60.1%。HT是更频繁地发现男性比女性(52.2% vs . 41.3%;p = 0.001)。MS患病率为11.3%。使用PCA,在男性的完整样本中,第一个因素解释了原始变量中总方差的31.5%,以血压为主,与年龄和空腹血糖(FBG)聚集在一起。在女性样本中,第一个因素(占方差的31.1%)主要是肥胖合并空腹血糖和脂质。在代谢综合征患者中,主要因素是男女的血压,男性的负荷高于女性。结论:在这项非糖尿病人群研究中,普遍存在的肥胖女性空腹血糖和脂质紊乱的聚类可能解释了在加勒比地区观察到的女性中2型糖尿病患病率较高的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Hypertension in the metabolic syndrome among Caribbean non diabetic subjects].
OBJECTIVE To study the metabolic syndrome (MS) components in Caribbean non diabetic individuals and to determine the magnitude of hypertension (HT) in those with and without MS. RESEARCH METHODS We conducted a cross-sectional study, of 966 consecutive subjects aged 18-74 years. The MS was identified according to the NCEP/ATpiiI definition. Age, gender, body mass index and the MS components (blood pressure, waist circumference, fasting blood glucose, triglycerides, HDL cholesterol) were taken into account. The Principal component analysis (PCA) was used to understand correlations between these continuous variables within the data base, and to identify principal factors (combinations of variables) and the magnitude of HT in these combinations. RESULTS In the overall study population, mean age was 38 years and there were 60.1% of women. HT was more frequently found in men than in women (52.2% vs. 41.3%; p=0.001). Prevalence of MS was 11.3%. With PCA, in the complete sample of men, the first factor, explained 31.5% of the total variance in the original variables and was dominated by blood pressure, clustered with age and fasting blood glucose (FBG). In the women's sample, the first factor (31.1% of the variance) was dominated by obesity combined with FBG and lipids. In subjects with the metabolic syndrome the principal factors were dominated by blood pressure in both genders with higher loadings in men than in women. CONCLUSION In this non diabetic population study the prevailing obese women profile clustering with fasting glucose and lipid disturbances might explain the higher prevalence of type 2 diabetes among women, observed in this Caribbean region.
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