Dyslipidemia without Obesity in Indigenous Argentinean Children Living at High Altitude

Dyslipidemia without Obesity in Indigenous Argentinean Children Living at High Altitude
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DOI:
10.1016/j.jpeds.2012.04.008
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发表时间:
2012-10-01
影响因子:
5.1
通讯作者:
Molinari, Claudia
Molinari, Claudia
中科院分区:
医学2区
文献类型:
--
作者:
Hirschler, Valeria;Maccallini, Gustavo;Molinari, Claudia

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目的比较圣安东尼奥德洛斯科布雷斯(SAC)和布宜诺斯艾利斯(BA)的印度儿童的心血管疾病危险因素的患病率,并检查身体质量指数(BMI),腰围(WC)和WC/身高作为血脂异常的预测因子在两组中。研究设计数据收集横断面从BMI,WC,血压,坦纳量表,血糖,血脂和胰岛素。血脂异常的定义由国家胆固醇教育计划和美国心脏协会。结果SAC与BA儿童的平均年龄分别为10.6 ± 3.0和9.5 ± 2.0岁。根据疾病控制中心的数据,在330名SAC儿童中,15名(4.5%)超重,12名(3.6%)肥胖,在603名BA儿童中,97名(16.1%)超重,82名(13.6%)肥胖。SAC儿童高甘油三酯(28.8% vs 3.5%)和低高密度脂蛋白胆固醇(30.0% vs 5.5%)的患病率显著高于BA儿童。SAC中预测高甘油三酯的受试者工作特征曲线下面积为BMI = 0.55(95%CI,0.48-0.62; P = 0.15),BA儿童中BMI = 0.65(95%CI,0.52-0.77; P = 0.02)。当使用低高密度脂蛋白胆固醇时,从受试者工作特征曲线下的面积获得了类似的结果,表明BMI不是SAC儿童血脂异常的重要预测因子。当BMI取代WC和WC/身高,结果是similar.Conclusions人体测量标志物是不是一个可以接受的预测国家胆固醇教育计划截止SAC儿童血脂异常。纵向研究应确定SAC儿童是否因遗传背景而处于心血管疾病的高风险中。(J Pediatr 2012;161:646-51)。
Objectives To compare the prevalence of cardiovascular disease risk factors in Indian children from San Antonio de los Cobres (SAC) and children from Buenos Aires (BA), and to examine body mass index (BMI), waist circumference (WC), and WC/height as predictors of dyslipidemia in both groups.Study design Data were collected cross-sectionally from BMI, WC, blood pressure, Tanner scale, glucose, lipids, and insulin. Dyslipidemia was defined by the National Cholesterol Education Program and American Heart Association.Results The mean ages were 10.6 +/- 3.0 and 9.5 +/- 2.0 years in SAC vs BA children. Of the 330 SAC children, 15 (4.5%) were overweight and 12 (3.6%) obese, and of the 603 BA, 97 (16.1%) were overweight and 82 (13.6%) obese per Centers for Disease Control. There was a significantly higher prevalence of high triglycerides (28.8% vs 3.5%) and low high-density lipoprotein cholesterol (30.0% vs 5.5%) in SAC vs BA children. The areas under the receiver operating characteristic curve in predicting high triglycerides were BMI = 0.55 (95% CI, 0.48-0.62; P = .15) in SAC and BMI = 0.65 (95% CI, 0.52-0.77; P = .02) in BA children. Similar results from the areas under the receiver operating characteristic curve were obtained when low high-density lipoprotein cholesterol was used, indicating that BMI was not a significant predictor for dyslipidemia in SAC children. When BMI was replaced by WC and WC/height, results were similar.Conclusions Anthropometric markers were not an acceptable predictor for National Cholesterol Education Program cutoffs for dyslipidemia in SAC children. Longitudinal studies should determine if SAC children are at high risk for cardiovascular diseases because of genetic background. (J Pediatr 2012;161:646-51).