Evidence map›Paper›PMID 23796477›Full record

ArticleThe British journal of nutrition2014

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

Carrie R Daniel, Kavita Kapur, Mary J McAdams, Sujata Dixit-Joshi, Niveditha Devasenapathy, Hemali Shetty, Sriram Hariharan, Preethi S George, Aleyamma Mathew, Rashmi Sinha

Abstract readMulticenter Study
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Carrie R DanielNutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, 6120 Executive Boulevard, Suite 320, Rockville, MD 20852, USA.
Kavita KapurSteno Diabetes Center, Gentofte, Denmark.
Mary J McAdamsInformation Management Services, Silver Spring, MD, USA.
Sujata Dixit-JoshiWestat, Rockville, MD, USA.
Niveditha DevasenapathyCentre for Chronic Disease Control, New Delhi, India.
Hemali ShettyHealis Sekhsaria Institute for Public Health, Navi Mumbai, India.
Sriram HariharanAtribs IT Consulting, Chennai, India.
Preethi S GeorgeRegional Cancer Center, Trivandrum, Kerala, India.
Aleyamma MathewRegional Cancer Center, Trivandrum, Kerala, India.
Rashmi SinhaNutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, 6120 Executive Boulevard, Suite 320, Rockville, MD 20852, USA.

Funding

Diet and Cancer in IndiaZ01CP010194 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SINHA, RASHMI · 2007 to 2008
$2.9M
Diet and Cancer in IndiaZIACP010194 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SINHA, RASHMI · 2009 to 2013
$2.4M
Intramural NIH HHS Z01 CP010194
6 · The paper itself

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.

Indexed as

Databases, FactualNutrition AssessmentSoftwareDietEnergy IntakeHumansIndiaInterviews as TopicMealsMental RecallMicronutrientsPortion SizeSurveys and QuestionnairesMicronutrients

Identifiers

PMID23796477
PMCPMC5652307

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.