Literature DB >> 23796477

Development of a field-friendly automated dietary assessment tool and nutrient database for India.

Carrie R Daniel1, Kavita Kapur2, Mary J McAdams3, Sujata Dixit-Joshi4, Niveditha Devasenapathy5, Hemali Shetty6, Sriram Hariharan7, Preethi S George8, Aleyamma Mathew8, Rashmi Sinha1.   

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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Year:  2014        PMID: 23796477      PMCID: PMC5652307          DOI: 10.1017/S0007114513001864

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  31 in total

1.  Evaluation of alternative approaches to assign nutrient values to food groups in food frequency questionnaires.

Authors:  A F Subar; D Midthune; M Kulldorff; C C Brown; F E Thompson; V Kipnis; A Schatzkin
Journal:  Am J Epidemiol       Date:  2000-08-01       Impact factor: 4.897

2.  Development and testing of a quantitative food frequency questionnaire for use in Kerala, India.

Authors:  J R Hebert; P C Gupta; R B Bhonsle; P R Murti; H Mehta; F Verghese; M Aghi; K Krishnaswamy; F S Mehta
Journal:  Public Health Nutr       Date:  1998-06       Impact factor: 4.022

3.  India sees parallel rise in malnutrition and obesity.

Authors:  Patralekha Chatterjee
Journal:  Lancet       Date:  2002-12-14       Impact factor: 79.321

4.  Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology.

Authors:  Raymond J Carroll; Douglas Midthune; Amy F Subar; Marina Shumakovich; Laurence S Freedman; Frances E Thompson; Victor Kipnis
Journal:  Am J Epidemiol       Date:  2012-01-24       Impact factor: 4.897

5.  Retardation of experimental tumorigenesis and reduction in DNA adducts by turmeric and curcumin.

Authors:  K Krishnaswamy; V K Goud; B Sesikeran; M A Mukundan; T P Krishna
Journal:  Nutr Cancer       Date:  1998       Impact factor: 2.900

6.  Dietary patterns and glucose intolerance among rural Indian populations.

Authors:  P V Rao
Journal:  J Indian Med Assoc       Date:  2002-03

7.  Cognitive research enhances accuracy of food frequency questionnaire reports: results of an experimental validation study.

Authors:  Frances E Thompson; Amy F Subar; Charles C Brown; Albert F Smith; Carolyn O Sharbaugh; Jared B Jobe; Beth Mittl; James T Gibson; Regina G Ziegler
Journal:  J Am Diet Assoc       Date:  2002-02

8.  Sources of variability in dietary intake in two distinct regions of rural India: implications for nutrition study design and interpretation.

Authors:  J R Hebert; P C Gupta; H Mehta; C B Ebbeling; R R Bhonsle; F Varghese
Journal:  Eur J Clin Nutr       Date:  2000-06       Impact factor: 4.016

Review 9.  Diet and lifestyle guidelines and desirable levels of risk factors for the prevention of diabetes and its vascular complications in Indians: a scientific statement of The International College of Nutrition. Indian Consensus Group for the Prevention of Diabetes.

Authors:  R B Singh; S S Rastogi; P V Rao; S Das; S V Madhu; A K Das; B K Sahay; S M Fuse; R Beegom; G S Sainani; N A Shah
Journal:  J Cardiovasc Risk       Date:  1997-06

10.  The nutrition transition is underway in India.

Authors:  P L Griffiths; M E Bentley
Journal:  J Nutr       Date:  2001-10       Impact factor: 4.798

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  14 in total

1.  Ischaemic heart disease-related knowledge, behaviours, and beliefs of indo-canadians and euro-canadians: implications for physical therapists.

Authors:  Giselle Rodrigues; Lyn Jongbloed; Zhenyi Li; Elizabeth Dean
Journal:  Physiother Can       Date:  2014       Impact factor: 1.037

2.  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.

Authors:  Kripa Rajagopalan; Mallika Alexander; Shilpa Naik; Nikhil Patil; Shivani Mehta; Cheng-Shiun Leu; Ramesh Bhosale; Jyoti S Mathad; Laura E Caulfield; Amita Gupta; Sameera A Talegawkar; Rupak Shivakoti
Journal:  Br J Nutr       Date:  2020-12-28       Impact factor: 3.718

3.  Development and Evaluation of a Web-based Computer-Assisted Personal Interview System (CAPIS) for Open-ended Dietary Assessments among Koreans.

Authors:  Sangah Shin; Eunyoung Park; Dong Han Sun; Tae-Kyoung You; Myung-Joo Lee; Soochan Hwang; Hee Young Paik; Hyojee Joung
Journal:  Clin Nutr Res       Date:  2014-07-29

Review 4.  Scaling up Dietary Data for Decision-Making in Low-Income Countries: New Technological Frontiers.

Authors:  Winnie Bell; Brooke A Colaiezzi; Cathleen S Prata; Jennifer C Coates
Journal:  Adv Nutr       Date:  2017-11-15       Impact factor: 8.701

5.  Overcoming Dietary Assessment Challenges in Low-Income Countries: Technological Solutions Proposed by the International Dietary Data Expansion (INDDEX) Project.

Authors:  Jennifer C Coates; Brooke A Colaiezzi; Winnie Bell; U Ruth Charrondiere; Catherine Leclercq
Journal:  Nutrients       Date:  2017-03-16       Impact factor: 5.717

6.  Association of Vegetable and Animal Flesh Intake with Inflammation in Pregnant Women from India.

Authors:  Su Yadana; Sameera A Talegawkar; Jyoti S Mathad; Mallika Alexander; Kripa Rajagopalan; Pavan Kumar; Shilpa Naik; Cheng-Shiun Leu; Vandana Kulkarni; Prasad Deshpande; Mariana Araujo-Pereira; Ramesh Bhosale; Subash Babu; Bruno B Andrade; Laura E Caulfield; Amita Gupta; Rupak Shivakoti
Journal:  Nutrients       Date:  2020-12-08       Impact factor: 5.717

7.  Branched-Chain Amino Acid Database Integrated in MEDIPAD Software as a Tool for Nutritional Investigation of Mediterranean Populations.

Authors:  Sara Haydar; Thomas Paillot; Christophe Fagot; Yannick Cogne; Athanasios Fountas; Yildiz Tutuncu; Madalina Vintila; Agathocles Tsatsoulis; Pham Thanh Chi; Patrick Garandeau; Dan Chetea; Corin Badiu; Monica Gheorghiu; Dorina Ylli; Corinne Lautier; Morana Jarec; Louis Monnier; Christophe Normand; Jelena Šarac; Abdelhamid Barakat; Sasa Missoni; Michel Pugeat; Patrick Poucheret; Felicia Hanzu; Ramon Gomis; Josep Maria Macias; Serghey Litvinov; Elza Khusnutdinova; Catalina Poiana; Renato Pasquali; Davide Lauro; Giorgio Sesti; Vincenzo Trischitta; Sonia Abdelhak; Akila Zenati; Agron Ylli; Ilhan Satman; Timo Kanninen; Yves Rinato; Florin Grigorescu
Journal:  Nutrients       Date:  2018-10-01       Impact factor: 5.717

Review 8.  Evaluation of New Technology-Based Tools for Dietary Intake Assessment-An ILSI Europe Dietary Intake and Exposure Task Force Evaluation.

Authors:  Alison L Eldridge; Carmen Piernas; Anne-Kathrin Illner; Michael J Gibney; Mirjana A Gurinović; Jeanne H M de Vries; Janet E Cade
Journal:  Nutrients       Date:  2018-12-28       Impact factor: 5.717

9.  The Use of Tablet-Based Multiple-Pass 24-Hour Dietary Recall Application (MP24Diet) to Collect Dietary Intake of Children under Two Years Old in the Prospective Cohort Study in Indonesia.

Authors:  Min Kyaw Htet; Umi Fahmida; Tran Thanh Do; Michael J Dibley; Elaine Ferguson
Journal:  Nutrients       Date:  2019-11-27       Impact factor: 5.717

10.  Associations of Eating Mode Defined by Dietary Patterns with Cardiometabolic Risk Factors in the Malaysia Lipid Study Population.

Authors:  Gaiyal Viliy Balasubramanian; Khun-Aik Chuah; Ban-Hock Khor; Ayesha Sualeheen; Zu-Wei Yeak; Karuthan Chinna; Kalyana Sundram; Tilakavati Karupaiah
Journal:  Nutrients       Date:  2020-07-14       Impact factor: 5.717

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