Hypertension and sources of blood pressure variability among Mexican-Americans in Starr County, Texas.

Hypertension and sources of blood pressure variability among Mexican-Americans in Starr County, Texas.
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德克萨斯州斯塔尔县墨西哥裔美国人的高血压和血压变异的来源。

DOI:
10.1093/ije/14.2.231
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发表时间:
1985
影响因子:
7.7
通讯作者:
Schull,WJ
Schull,WJ
中科院分区:
医学1区
文献类型:
--
作者:
Hanis,CL;Ferrell,RE;Schull,WJ

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哈尼斯(Center for Demographic and Population Genetics,University of Texas Health Science Center,Houston,TX 77225,USA),Ferrell RE and Schull W J. Hypertension and sources of blood pressure variability among Mexican-Americans in Starr County,Texas.International Journal of Epidemiology 1985,14:231- 238.以前的研究已经确定,与整个美国人口相比,德克萨斯州南部的墨西哥裔美国人社区患非胰岛素依赖型糖尿病的风险高出三至五倍。此外,有证据表明,相关疾病、高血压和肥胖症的风险也同样增加。本文报道了1931名15岁及以上的墨西哥裔美国人中年龄和性别特异性的临界高血压和确诊高血压的发病率,这些发病率基于一次家庭血压测定。观察到的确诊高血压率均低于美国人群,而临界高血压在所有年龄和性别分层中相应较高,因此高血压的总体患病率无显著差异。然而,斯塔尔样本中有1/3的人服用高血压药物,因此高血压的真实发病率可能更高。使用协方差分析检查血压变异性的来源表明,年龄具有最显着的影响。没有直接测量身体大小的方法,但基于代表身体形态的简单轮廓的分类被证明是下一个最重要的影响。此外,剪影似乎提供了几乎等同于身体质量指数作为血压变异性的经验预测因子的信息量。糖尿病分类对女性收缩压有显著影响,但对男性或舒张压无显著影响。
Hanis C L (Center for Demographic and Population Genetics, University of Texas Health Science Center, Houston, TX 77225, USA), Ferrell R E and Schull W J. Hypertension and sources of blood pressure variability among Mexican—Americans in Starr County, Texas.International Journal of Epidemiology1985, 14: 231–238.Previous investigations have established that the Mexican—American community of south Texas has a three- to five-fold elevated risk for non-insulin dependent diabetes mellitus when compared to the US population as a whole. In addition, evidence points to similarly increased risks of the related disorders, hypertension and obesity. In this paper, age- and sex-specific rates of borderline and definite hypertension among 1931 Mexican—Americans aged 15 years and above based on a single, at-home blood pressure determination are reported. Observed rates of definite hypertension are uniformly lower than the US population while borderline hypertension is correspondingly higher for all age and sex strata yielding overall prevalences of hypertension which are not significantly different. The Starr sample, however, has one and one-third times as many individuals taking hypertensive medications so that the true rate of hypertension is likely to be higher. Examining sources of blood pressure variability using analyses of covariance indicate that age has the most significant effect. A direct measure of body size was not available, but classification based on simple silhouettes representing body form is shown to be the next most significant effect. Furthermore, the silhouettes appear to provide nearly an equivalent amount of information as does the body mass index as an empirical predictor of blood pressure variability. Diabetic classification is a significant effect for systolic blood pressure in females, but not for males or for diastolic pressure in either.