Ghosh Arnab
Visva Bharati University, Palli Charcha Kendra, Sriniketan 731 236 West Bengal, India.
Asia Pac J Clin Nutr. 2006;15(2):189-95.
The present study was aimed to study anthropometric, metabolic and dietary fatty acids profiles among 200 (Group I: lean control, N = 80; Group II: lean diabetic, N = 70 and Group III: obese diabetic, N = 50) Asian Indians (aged 30 years and above) living in the eastern part of India. Anthropometric [height, weight, waist (WC) and hip circumference] metabolic [total cholesterol (TC), triglyceride (TG), high (HDL), low density lipoprotein (LDL) and fasting plasma glucose (FPG)] and dietary profiles were collected from each participant. Body mass index (BMI), waist-hip ratio (WHR) and conicity index (CI) were subsequently computed from anthropometric measures. An open-ended 24 h food recall proforma consisting of three sections and in local language was used to collect nutrient information from each participant. Daily intake of nutrients including saturated (SFA), monounsaturated (MUFA) and polyunsaturated fatty acids (PUFA) were estimated by adding all the foodstuffs consumed on weekly and monthly basis. One-way ANOVA with Scheffe's post-hoc test revealed that Group I has significantly lower mean than both Group II and Group III for age, WC, WHR, CI, TC, TG, LDL, FPG and total carbohydrates; Group I has significantly lower mean than Group II only for HDL and Group I has significantly lower mean than Group III only for BMI, total proteins and total fats. On the other hand, Group I has significantly greater mean than both Group II and Group III for UFA/SFA, MUFA/SFA and PUFA/SFA whereas Group I has significantly lower mean than Group III only for trans fatty acids and Erucic acid. Pearson's partial correlation (controlling age and sex) analysis showed that the ratios of unsaturated fatty acids and saturated fatty acids had significant negative association with lipids, lipoprotein and fasting glucose. Discriminant analysis revealed that overall 86.2% of all cases were correctly (positively) classified in three groups using fatty acids and their ratios. In conclusion, it seems reasonable to argue that dietary management including dietary guidelines would be useful to retard the growing incidence of diabetes in Indian population.
本研究旨在对居住在印度东部的200名(第一组:瘦对照组,N = 80;第二组:瘦糖尿病组,N = 70;第三组:肥胖糖尿病组,N = 50)30岁及以上的亚洲印度人进行人体测量、代谢和膳食脂肪酸谱研究。收集了每位参与者的人体测量数据[身高、体重、腰围(WC)和臀围]、代谢数据[总胆固醇(TC)、甘油三酯(TG)、高密度脂蛋白(HDL)、低密度脂蛋白(LDL)和空腹血糖(FPG)]以及膳食数据。随后根据人体测量指标计算体重指数(BMI)、腰臀比(WHR)和锥度指数(CI)。采用一份由三个部分组成的开放式24小时食物回忆表格,并用当地语言来收集每位参与者的营养信息。通过将每周和每月摄入的所有食物相加,估算出饱和脂肪酸(SFA)、单不饱和脂肪酸(MUFA)和多不饱和脂肪酸(PUFA)等营养素的每日摄入量。单因素方差分析及谢费尔事后检验显示,第一组在年龄、WC、WHR、CI、TC、TG、LDL、FPG和总碳水化合物方面的均值显著低于第二组和第三组;第一组仅在HDL方面的均值显著低于第二组,且第一组仅在BMI、总蛋白和总脂肪方面的均值显著低于第三组。另一方面,第一组在不饱和脂肪酸与饱和脂肪酸比值(UFA/SFA)、单不饱和脂肪酸与饱和脂肪酸比值(MUFA/SFA)和多不饱和脂肪酸与饱和脂肪酸比值(PUFA/SFA)方面的均值显著高于第二组和第三组,而第一组仅在反式脂肪酸和芥酸方面的均值显著低于第三组。皮尔逊偏相关(控制年龄和性别)分析表明,不饱和脂肪酸与饱和脂肪酸的比值与脂质、脂蛋白和空腹血糖呈显著负相关。判别分析显示,总体而言,使用脂肪酸及其比值可将86.2%的所有病例正确(阳性)分为三组。总之,有理由认为包括饮食指南在内的饮食管理对于减缓印度人群中糖尿病发病率的上升将是有用的。