Gokulakrishnan K, Deepa M, Monickaraj F, Mohan V
Department of Research Biochemistry, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Noncommunicable Diseases Prevention and Control, Chennai, Tamil Nadu, India.
J Postgrad Med. 2011 Jul-Sep;57(3):184-8. doi: 10.4103/0022-3859.85200.
The amount of body fat, rather than the amount of excess weight, determines the health risks of obesity, type 2 diabetes mellitus, and cardiovascular disease.
To look at the association of body fat percentage with cardiometabolic risk factors in subjects with normal glucose tolerance (NGT).
Cross-section study from the Chennai Urban Rural Epidemiology Study.
Body fat was measured by Beurer body fat analyzer. Metabolic syndrome (MS) was diagnosed based on modified ATPIII guidelines.
Student's t test or one-way ANOVA (with Tukey's HSD) was used to compare groups for continuous variables.
Body mass index, waist circumference, systolic and diastolic blood pressure, HOMA IR, serum cholesterol, and LDL cholesterol increased significantly with increasing tertiles of body fat (P<0.001). There was a linear increase in the percentage of body fat with increase in number of components of MS (no metabolic abnormality: 25 ± 11, one metabolic abnormality: 28 ± 10, two metabolic abnormalities: 33 ± 8, and three and more metabolic abnormalities: 35 ± 7) (P<0.001). Regression models showed significant association of body fat with MS after adjusting for age, gender, insulin resistance, and glycated hemoglobin (Odds ratio: 1.04, 95% confidence interval: 1.04 - 1.08, P<0.001). In linear regression analysis, body fat showed a significant association with insulin resistance after adjusting for age, gender, and glycated hemoglobin (β=0.030, P<0.001).
A significant association exists between body fat, MS, and cardiometabolic risk factors even among subjects with NGT.
身体脂肪量而非超重的量决定了肥胖、2型糖尿病和心血管疾病的健康风险。
研究正常糖耐量(NGT)受试者的体脂百分比与心血管代谢危险因素之间的关联。
来自金奈城乡流行病学研究的横断面研究。
使用宝雅体脂分析仪测量体脂。根据修改后的ATPIII指南诊断代谢综合征(MS)。
采用学生t检验或单因素方差分析(与Tukey's HSD法)比较连续变量的组间差异。
随着体脂三分位数的增加,体重指数、腰围、收缩压和舒张压、HOMA-IR、血清胆固醇和低密度脂蛋白胆固醇显著增加(P<0.001)。随着MS组分数量的增加,体脂百分比呈线性增加(无代谢异常:25±11,一种代谢异常:28±10,两种代谢异常:33±8,三种及以上代谢异常:35±7)(P<0.001)。回归模型显示,在调整年龄、性别、胰岛素抵抗和糖化血红蛋白后,体脂与MS显著相关(比值比:1.04,95%置信区间:1.04 - 1.08,P<0.001)。在线性回归分析中,调整年龄、性别和糖化血红蛋白后,体脂与胰岛素抵抗显著相关(β=0.030,P<0.001)。
即使在NGT受试者中,体脂、MS和心血管代谢危险因素之间也存在显著关联。