ArticleThe British journal of nutrition2014
Development of a field-friendly automated dietary assessment tool and nutrient database for India.
Article in The British journal of nutrition, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Development of mobile phone-based dietary data collection applications in pregnant women and infants for the M-SAKHI trial.Journal of nutritional science · 2023Trial
- Trial
- Methodological considerations of diet assessment of the older Indian population in the longitudinal aging study in India-Harmonised Diagnostic Assessment of Dementia (LASI-DAD).BMC public health · 2025Article
- Piloting a brief assessment to capture consumption of whole plant food and water: version 1.0 of the American College of Lifestyle Medicine Diet Screener (ACLM Diet Screener).Frontiers in nutrition · 2024Article
- Development of a Food List to Assess the Diet of South Asians Living in the U.S.: Preliminary Results From a Formative Study.AJPM focus · 2023Article
- Article
- Article
- Gender and Age Differences in Meal Structures, Food Away from Home, Chrono-Nutrition, and Nutrition Intakes among Adults and Children in Tanzania Using a Newly Developed Tablet-Based 24-Hour Recall Tool.Current developments in nutrition · 2022Article
- Assessing the Diets of Young Children and Adolescents in India: Challenges and Opportunities.Frontiers in pediatrics · 2022Review
- Potential of existing online 24-h dietary recall tools for national dietary surveys.Public health nutrition · 2021Article
- Validation of New Interactive Nutrition Assistant - Diet in India Study of Health (NINA-DISH) FFQ with multiple 24-h dietary recalls among pregnant women in Pune, India.The British journal of nutrition · 2021Article
- Development and Usability Study of an Open-Access Interviewer-Administered Automated 24-h Dietary Recall Tool in Argentina: MAR24.Frontiers in nutrition · 2021Article
- Association of Vegetable and Animal Flesh Intake with Inflammation in Pregnant Women from India.Nutrients · 2020Article
- Associations of Eating Mode Defined by Dietary Patterns with Cardiometabolic Risk Factors in the Malaysia Lipid Study Population.Nutrients · 2020Article
- Article
- Dietary Assessment of Shared Plate Eating: A Missing Link.Nutrients · 2019Review
- Evaluation of New Technology-Based Tools for Dietary Intake Assessment-An ILSI Europe Dietary Intake and Exposure Task Force Evaluation.Nutrients · 2018Review
- Branched-Chain Amino Acid Database Integrated in MEDIPAD Software as a Tool for Nutritional Investigation of Mediterranean Populations.Nutrients · 2018Article
- Smartphone tool to collect repeated 24 h dietary recall data in Nepal.Public health nutrition · 2018Article
- Scaling up Dietary Data for Decision-Making in Low-Income Countries: New Technological Frontiers.Advances in nutrition (Bethesda, Md.) · 2017Review
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Authors and funding
10 authors.
Funding
Abstract
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.
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