体脂率比脂质谱作为2型糖尿病血脂异常的标志

Vaddiparti Aruna, N. Chowdeswari, Tummalagunta Nrusimha Murthy
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摘要

肥胖、代谢综合征和血脂异常作为心血管疾病、IHD等健康危害的非传染性原因越来越普遍。在ICMR的领导下,正在进行全国调查,以发现体内高脂肪含量的原因,并采取措施及早发现。我们试图了解体脂率在2型糖尿病中作为血脂异常标志的重要性。目的:探讨2型糖尿病患者身体质量指数(BMI)、体脂率(BFP)与血脂的关系。:经知情同意后,选择年龄在30-55岁的2型糖尿病(血压正常者)受试者35例,性别和年龄及性别匹配的健康对照35例。记录人体测量数据。用ERBA Chem 5半自动分析仪对空腹静脉血进行糖脂分析。计算BMI和BFP。在30-55岁年龄组中,BFP远高于正常水平(分别为38.03±12.13和44.9±7.66),根据Jackson & Pollard的正常界限为19.3% -26.3%。两组患者BMI均值为33.22±8.59,对照组BMI均值为37.07±4.1,均为II类肥胖者。经Student ' st检验,BMI和BFP在病例和对照组之间具有统计学意义(分别为p <0.009和<0.003);方差分析,组内BMI和BFP也具有统计学意义(p <0.00001)。对性别差异进行分析。Pearson相关系数(r = 0.914 & 0.976)显示,男性和女性的BMI呈强正相关。糖尿病患者TC、TG、HDL与BMI、BFP呈弱正相关,LDL与BMI、BFP呈负相关。在评估血脂异常方面,我们不能得出BFP优于BMI的结论。然而,该研究可以使用其他方法来评估T2DM患者的BFP,如超声、计算机断层扫描。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Body fat percentage utility over lipid profile as marker of dyslipidemia in type 2 diabetes mellitus
Obesity, Metabolic syndrome and dyslipidaemia are gaining prevalence as noncommunicable causes of health hazards like CVD, IHD. National surveys under the leadership of ICMR were in progress to detect causes of high fat content in the body and means to detect the same early are underway. We made an attempt to know the importance of body fat percentage in Type 2 Diabetes Mellitus as marker of dyslipidaemia. : To study relationship of BMI, body fat percent (BFP) and lipid profile in type 2 Diabetes Mellitus.: 35 Type2DM (normotensive) subjects in the age group of 30-55yrs in both sexes and 35 age & sex matched healthy controls were selected for the study after obtaining informed consent. Anthropometric data was recorded. Their fasting venous blood samples were analysed for sugar & Lipid profile ERBA Chem 5 semiautoanalyser. BMI and BFP were calculated.: BFP was well above normal levels in both cases and controls (38.03±12.13 &44.9±7.66 respectively) for the age group of 30-55yrs normal limits being 19,3% -26.3% according to Jackson & Pollard. The mean BMI of cases was 33.22±8.59 compared to 37.07±4.1 of controls, indicating both groups were class II obese individuals. BMI & BFP showed statistically significant correlation between cases and controls by Student’s ‘t’ test (p <0.009 & <0.003 respectively) and also within the groups (P <0.00001) by way of ANOVA. Analysis was done to detect gender difference. In males and females there was strongly positive correlation of BMI as detected by Pearson’s Correlation coefficient (r = 0.914 & 0.976). TC, TG & HDL showed weak positive correlation with BMI & BFP in diabetic subjects, whereas LDL correlated negatively with BMI & BFP.: We could not conclude superiority of BFP over BMI in assessing dyslipidaemia. Nevertheless, the study can be done using other methods of evaluation of BFP in T2DM like ultrasound, computerised tomography.
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