Ghosh Arnab
Department of Anthropology, Palli Charcha Kendra, Visva Bharati University, Sriniketan, West Bengal, India.
Food Nutr Bull. 2007 Dec;28(4):399-405. doi: 10.1177/156482650702800404.
The precise etiology and mechanisms leading to the development of increasing incidence of coronary heart disease (CHD) in Asian Indians remains incompletely understood. There is evidence that women in this population may have comparatively greater risk factors (e.g., dyslipidemia) for CHD than men.
To determine how dietary fatty acids composition could be used to identify Asian Indian women who are at greater risk of obesity and dyslipidemia.
The present cross-sectional study comprised of 130 (Group I: lean control, n=40; Group II: lean dyslipidemic, n=45; and Group III: obese dyslipidemic, n=45) Asian Indian women (> or =30 years) living in Calcutta, India and the surrounding suburbs. Anthropometric measures, lipoproteins, plasma glucose, and intake of dietary fatty acids were obtained from each participant. Obesity measures were subsequently calculated from anthropometric measures. Conversion of foods into nutrients was done according to standard nutritive values of Indian foods.
ANOVA with Duncan's post-hoc test revealed significant group differences for anthropometric measures, lipids profiles, blood glucose, and dietary fatty acids. Pearson's partial correlations (controlling for age) also revealed that central obesity measure had a significant association with dietary fatty acids and their ratios. Discriminant function analysis revealed that overall, 80% of all entries were positively (correctly) classified in three groups using fatty acids and their ratios.
Dietary fatty acids composition is related to indicators of obesity. The recent shift in dietary habits may have caused an increase in the prevalence of obesity and dyslipidemia in this region.
导致亚洲印度人冠心病(CHD)发病率不断上升的确切病因和机制仍未完全明确。有证据表明,该人群中的女性患冠心病的风险因素(如血脂异常)可能比男性相对更多。
确定饮食脂肪酸组成如何用于识别肥胖和血脂异常风险较高的亚洲印度女性。
本横断面研究纳入了130名年龄≥30岁、居住在印度加尔各答及其周边郊区的亚洲印度女性(I组:瘦对照组,n = 40;II组:瘦血脂异常组,n = 45;III组:肥胖血脂异常组,n = 45)。获取了每位参与者的人体测量指标、脂蛋白、血糖和饮食脂肪酸摄入量。随后根据人体测量指标计算肥胖指标。根据印度食物的标准营养价值将食物转化为营养素。
采用邓肯事后检验的方差分析显示,三组在人体测量指标、血脂谱、血糖和饮食脂肪酸方面存在显著差异。皮尔逊偏相关分析(控制年龄)还显示,中心性肥胖指标与饮食脂肪酸及其比例存在显著关联。判别函数分析显示,总体而言,使用脂肪酸及其比例可将80%的所有参与者正确分为三组。
饮食脂肪酸组成与肥胖指标相关。近期饮食习惯的转变可能导致该地区肥胖和血脂异常患病率上升。