来自ICMR-INDIAB调查的印度饮食概况和相关代谢危险因素21。

IF 50 1区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Ranjit Mohan Anjana, Vasudevan Sudha, Kuzhandaivelu Abirami, Rajagopal Gayathri, Valangaiman Sriram Manasa, Mohan Deepa, Rajendra Pradeepa, Ranjit Unnikrishnan, Shashank Joshi, Banshi Saboo, Arvind Gupta, Prashant P Joshi, Prabha Adhikari, Puthiyaveettil Kottayam Jabbar, Sunil M Jain, Subhankar Chowdhury, Anil J Purty, Saroj Kumar Tripathy, Sarita Behera, Jagdish Mahanta, Avula Laxmaiah, Kamala Krishnaswamy, Anura Viswanath Kurpad, Ashok Kumar Das, Rupinder Singh Dhaliwal, Tanvir Kaur, Shilpa N Bhupathiraju, Viswanathan Mohan
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引用次数: 0

摘要

在印度,快速的饮食转变与心脏代谢疾病的惊人增长有关。利用印度医学研究委员会印度糖尿病调查(18,090名成年人)的数据,我们检查了印度的饮食概况以及用其他常量营养素替代碳水化合物对代谢风险的影响。印度饮食的特点是大量摄入低质量的碳水化合物(白米饭、磨碎的全谷物和添加糖)、高水平的饱和脂肪和低摄入量的蛋白质。与碳水化合物摄入量最少的人相比,碳水化合物摄入量最高的人患新诊断的2型糖尿病(T2D;优势比(OR) = 1.30, 95%可信区间(CI) = 1.14,1.47)、前驱糖尿病(OR = 1.20, 95% CI = 1.06,1.33)、全身性肥胖(OR = 1.22, 95% CI = 1.07,1.37)和腹部肥胖(OR = 1.15, 95% CI = 1.01, 1.30)的风险更高。在不减少总碳水化合物量的情况下,用全麦或小米粉代替精制谷物与T2D (or = 0.94, 95% CI = 0.57, 1.56)或腹部肥胖(or = 1.08, 95% CI = 0.66, 1.76)的风险降低无关。用碳水化合物代替植物、乳制品、鸡蛋或鱼类蛋白质的模型与较低的T2D(从or = 0.89, 95% CI = 0.83, 0.95-乳制品到or = 0.91, 95% CI = 0.82, 0.99-鸡蛋)和前驱糖尿病(从or = 0.82, 95% CI = 0.72, 0.92-乳制品到or = 0.94, 95% CI = 0.89, 0.99-鱼类)的可能性相关。减少总体碳水化合物和饱和脂肪,同时增加植物和乳制品蛋白质摄入量的公共卫生战略可以减轻印度代谢性疾病的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dietary profiles and associated metabolic risk factors in India from the ICMR-INDIAB survey-21.

Rapid dietary transitions in India have been associated with an alarming rise in cardiometabolic diseases. Using data from the national Indian Council of Medical Research-India Diabetes survey (18,090 adults), we examined India's dietary profile and the effect of isocaloric substitution of carbohydrates with other macronutrients on metabolic risk. Indian diets are characterized by high intakes of low-quality carbohydrates (white rice, milled whole grains and added sugar), high levels of saturated fat and low intakes of protein. Compared to those with the least carbohydrate intakes, those with the highest intakes had higher risk of newly diagnosed type 2 diabetes (T2D; odds ratio (OR) = 1.30, 95% confidence interval (CI) = 1.14,1.47), prediabetes (OR = 1.20, 95% CI = 1.06,1.33), generalized obesity (OR = 1.22, 95% CI = 1.07,1.37) and abdominal obesity (OR = 1.15, 95% CI = 1.01, 1.30). Replacing refined cereals with whole wheat or millet flour without decreasing overall carbohydrate quantity was not associated with lower risk for T2D (OR = 0.94, 95% CI = 0.57, 1.56) or abdominal obesity (OR = 1.08, 95% CI = 0.66, 1.76). Modeled isocaloric substitution of carbohydrates for plant, dairy, egg or fish protein was associated with lower likelihood of T2D (ranging from OR = 0.89, 95% CI = 0.83, 0.95-for dairy to OR = 0.91, 95% CI = 0.82, 0.99-egg) and prediabetes (ranging from OR = 0.82, 95% CI = 0.72, 0.92-for dairy to OR = 0.94, 95% CI = 0.89, 0.99-for fish). Public health strategies that reduce overall carbohydrates and saturated fat while increasing intake of plant and dairy proteins could mitigate the risk of metabolic diseases in India.

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来源期刊
Nature Medicine
Nature Medicine 医学-生化与分子生物学
CiteScore
100.90
自引率
0.70%
发文量
525
审稿时长
1 months
期刊介绍: Nature Medicine is a monthly journal publishing original peer-reviewed research in all areas of medicine. The publication focuses on originality, timeliness, interdisciplinary interest, and the impact on improving human health. In addition to research articles, Nature Medicine also publishes commissioned content such as News, Reviews, and Perspectives. This content aims to provide context for the latest advances in translational and clinical research, reaching a wide audience of M.D. and Ph.D. readers. All editorial decisions for the journal are made by a team of full-time professional editors. Nature Medicine consider all types of clinical research, including: -Case-reports and small case series -Clinical trials, whether phase 1, 2, 3 or 4 -Observational studies -Meta-analyses -Biomarker studies -Public and global health studies Nature Medicine is also committed to facilitating communication between translational and clinical researchers. As such, we consider “hybrid” studies with preclinical and translational findings reported alongside data from clinical studies.
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