کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8651236 1572058 2018 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Relation Between Wrist Circumference and Left Ventricular Structure in Overweight Children
ترجمه فارسی عنوان
ارتباط بین دور گردن و ساختار بطن چپ در کودکان دارای اضافه وزن
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی کاردیولوژی و پزشکی قلب و عروق
چکیده انگلیسی
The aim of this study was to assess the relation of wrist circumference with changes in left ventricular (LV) structure in a population of overweight/obese children and adolescents. One hundred and six children and adolescents were consecutively enrolled. In all subjects body weight, height, wrist circumference, waist circumference, body mass index-standard deviation score, fasting glucose, insulin, lipid profile, and blood pressure were evaluated. All subjects underwent echocardiographic assessment, and the following parameters were evaluated: LV dimension at end diastole and LV dimension at end systole, LV posterior wall thickness at end diastole and LV posterior wall thickness at end systole, interventricular septal thickness at end diastole and interventricular septal thickness at end systole, LV mass, and epicardial adipose tissue (EAT). LV hypertrophy was defined as LVM Index ≥95th percentile. Wrist circumference correlated with all parameters of LV dimensions and LV mass (p <0.0001) and EAT (p = 0.04). The strongest correlations were reported between wrist circumference with LV dimension at end diastole and LV dimension at end systole (r = 0.73 and r = 0.68 respectively, p <0.0001, for both). Results of the multivariate regression analysis showed that wrist circumference was significantly associated with all parameters of LV dimensions, LV mass, and EAT (p ≤0.002). The logistic regression showed that wrist circumference was significantly associated with LV hypertrophy (odds ratio 1.39, p = 0.046). In conclusion, wrist circumference could be a useful measure of cardiovascular risk in obese children and adolescents, opening new perspectives in the prediction of cardiovascular diseases.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The American Journal of Cardiology - Volume 121, Issue 12, 15 June 2018, Pages 1624-1628
نویسندگان
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