机构地区:[1]中国医学科学院北京协和医学院北京协和医院保健医疗部,100730 [2]中国医学科学院北京协和医学院北京协和医院营养科,100730
出 处:《中华临床营养杂志》2015年第3期131-136,共6页Chinese Journal of Clinical Nutrition
基 金:国家高科技研究发展计划项目(863项目)(2010AA023007)
摘 要:目的观察老年人体质量指数、总体脂肪及分布与血脂异常的相关性。方法连续定点抽取2013年10月至2014年3月在北京协和医院接受年度体检的395名健康老年人进行调查。采用多频生物电阻抗测定体质量、总体脂肪(TBF)、腹部脂肪(AF)、内脏脂肪(VF)、内脏脂肪面积(VFA)和腰臀围比值(WHR),并测定血清三酰甘油(TG)、总胆固醇(TC)、高密度脂蛋白胆固醇(HDL-C)和低密度脂蛋白胆固醇(LDL—C)。分析体质量指数(BMI)、TBF及分布与血脂异常的相关性。结果老年男性肥胖(17.8%比9.6%,P=0.036)、超重(49.6%比30.4%,P=0.000)和血脂异常(67.0%比44.8%,P=0.000)发生率均显著高于女性。女性表现为TBF%显著增高(60.0%比41.1%,P=0.001)。TC分别与TBF(P=0.020)、AF(P=0.018)、VF(P=0.015)和VFA(P=0.017)呈正相关;TG分别与BMI(P=0.000)、TBF(P=0.000)、WHR(P=0.000)、AF(P=0.000)、VF(P=0.000)和VFA(P=0.000)呈正相关;LDL—C分别与BMI(P=0.049)、TBF(P=0.005)、AF(P=0.004)、VF(P=0.003)和VFA(P=0.004)呈正相关,而HDL-C分别与BMI(P=0.000)、TBF(P=0.020)、WHR(P=0.000)、AF(P=0.021)、VF(P=0.024)和VFA(P=0.022)呈负相关。BMI、TBF、WHR、AF、VF和VFA预测血脂异常风险的受试者工作特征曲线均在参考线上方。超重和肥胖组TBF(P=0.000)、WHR(P=0.000)、AF(P=0.000)、VF(P=0.000)、VFA(P=0.000)、TG(P=0.000)和LDL-C(女性:P=0.021)均显著高于体质量正常组。结论肥胖/超重和体脂总量超标及腰围增大,可增加老年人血脂异常的发生风险。Objective To investigate the relationship between body mass index (BMI), total body fat (TBF) , body fat distribution, and dyslipidemia in the elderly. Methods A total of 395 healthy elderly people who had annual examination at Peking Union Medical College Hospital were consecutively enrolled from October 2013 to March 2014. Body weight (BW), TBF, abdominal fat (AF), visceral fat (VF), visceral fat area (VFA) and waist-to-hip ratio (WHR) were measured with multi-frequency bioelectric impedance analysis. Serum triglyeeride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-densi- ty lipoprotein cholesterol ( LDL-C ) were measured at the same time. The relationship between BMI, TBF,body fat distribution, and dyslipidemia were analyzed. Results The incidences of obesity ( 17.8% vs. 9.6%, P =0. 036), overweight (49.6% vs. 30.4%, P =0. 000) and dyslipidemia (67.0% vs. 44. 8%, P = 0. 000) in male were significantly higher than those in female; while female showed a significantly higher percentage of TBF (60.0% vs. 41.1%, P =0. 001 ). TC was positively correlated with TBF (P =0. 020) , AF (P=0. 018), VF (P =0.015) and VFA (P =0.017) ; TG was positively correlated with BMI (P = 0.000), TBF (P=0. 000), WHR (P=0.000), AF (P=0. 000), VF (P=0.000) and VFA (P= 0. 000) ; LDL-C was positively correlated with BMI (P =0. 049), TBF (P =0. 005), AF (P =0. 004), VF ( P = 0. 003 ) and VFA ( P = 0. 004 ) ; while HDL-C was negatively correlated with BMI ( P = 0. 000 ), TBF (P=0.020), WHR (P=0.000), AF (P=0.021), VF (P=0.024) and VFA (P=0.022). Receiver operating characteristic curve analysis showed that the predictive curves of BMI, TBF, WHR, AF, VF and VFA were above the reference line. TBF ( P = 0. 000), WHR ( P = 0. 000) , AF ( P = 0. 000), VF ( P = 0. 000) , VFA ( P = 0. 000) , TG ( P = 0. 000) and LDL-C ( female : P = 0. 021 ) i
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