Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, 6120 Executive Boulevard, Suite 320, Rockville, MD 20852, USA.
Steno Diabetes Center, Gentofte, Denmark.
Br J Nutr. 2014 Jan 14;111(1):160-71. doi: 10.1017/S0007114513001864.
Studies of diet and disease risk in India and among other Asian-Indian populations are hindered by the need for a comprehensive dietary assessment tool to capture data on the wide variety of food and nutrient intakes across different regions and ethnic groups. The nutritional component of the India Health Study, a multicentre pilot cohort study, included 3908 men and women, aged 35-69 years, residing in three regions of India (New Delhi in the north, Mumbai in the west and Trivandrum in the south). We developed a computer-based, interviewer-administered dietary assessment software known as the 'NINA-DISH (New Interactive Nutrition Assistant - Diet in India Study of Health)', which consisted of four sections: (1) a diet history questionnaire with defined questions on frequency and portion size; (2) an open-ended section for each mealtime; (3) a food-preparer questionnaire; (4) a 24 h dietary recall. Using the preferred meal-based approach, frequency of intake and portion size were recorded and linked to a nutrient database that we developed and modified from a set of existing international databases containing data on Indian foods and recipes. The NINA-DISH software was designed to be easily adaptable and was well accepted by the interviewers and participants in the field. A predominant three-meal eating pattern emerged; however, patterns in the number of foods reported and the primary contributors to macro- and micronutrient intakes differed by region and demographic factors. The newly developed NINA-DISH software provides a much-needed tool for measuring diet and nutrient profiles across the diverse populations of India with the potential for application in other South Asian populations living throughout the world.
在印度和其他亚洲裔印度人群中进行饮食与疾病风险的研究受到限制,因为需要一种全面的饮食评估工具来捕捉不同地区和族裔群体中广泛的食物和营养素摄入量数据。印度健康研究(India Health Study)的营养部分是一项多中心试点队列研究,包括 3908 名年龄在 35-69 岁之间的男性和女性,他们分别居住在印度的三个地区(北部的新德里、西部的孟买和南部的特里凡得琅)。我们开发了一种基于计算机、由访谈者管理的饮食评估软件,称为“NINA-DISH(New Interactive Nutrition Assistant - Diet in India Study of Health)”,它由四个部分组成:(1)饮食史问卷,其中包含关于频率和份量的定义问题;(2)每个用餐时间的开放式部分;(3)食品准备者问卷;(4)24 小时膳食回忆。使用首选的基于餐次的方法,记录摄入量的频率和份量,并与我们从一组包含印度食品和食谱数据的现有国际数据库中开发和修改的营养数据库相关联。NINA-DISH 软件旨在易于适应,并在现场得到了访谈者和参与者的广泛接受。出现了一种主要的三餐进食模式;然而,报告的食物数量和主要营养素摄入量的模式因地区和人口统计学因素而异。新开发的 NINA-DISH 软件为测量印度多样化人群的饮食和营养状况提供了急需的工具,并有潜力在世界各地生活的其他南亚人群中应用。