Evidence map›Paper›PMID 28300759›Full record

ArticleNutrients2017

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

Jennifer C Coates, Brooke A Colaiezzi, Winnie Bell, U Ruth Charrondiere, Catherine Leclercq

Abstract read
In one paragraph

Article in Nutrients, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 3 pooled it
–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

51 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

5 authors.

Jennifer C CoatesFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA. jennifer.coates@tufts.ed.
Brooke A ColaiezziFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA. brooke.colaiezzi@tufts.edu.
Winnie BellFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA. winnie.bell@tufts.edu.
U Ruth CharrondiereFood and Agriculture Organization of the United Nations, Roma 00153, Italy. ruth.charrondiere@fao.org.
Catherine LeclercqFood and Agriculture Organization of the United Nations, Roma 00153, Italy. catherine.leclercq@fao.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increasing number of low-income countries (LICs) exhibit high rates of malnutrition coincident with rising rates of overweight and obesity. Individual-level dietary data are needed to inform effective responses, yet dietary data from large-scale surveys conducted in LICs remain extremely limited. This discussion paper first seeks to highlight the barriers to collection and use of individual-level dietary data in LICs. Second, it introduces readers to new technological developments and research initiatives to remedy this situation, led by the International Dietary Data Expansion (INDDEX) Project. Constraints to conducting large-scale dietary assessments include significant costs, time burden, technical complexity, and limited investment in dietary research infrastructure, including the necessary tools and databases required to collect individual-level dietary data in large surveys. To address existing bottlenecks, the INDDEX Project is developing a dietary assessment platform for LICs, called INDDEX24, consisting of a mobile application integrated with a web database application, which is expected to facilitate seamless data collection and processing. These tools will be subject to rigorous testing including feasibility, validation, and cost studies. To scale up dietary data collection and use in LICs, the INDDEX Project will also invest in food composition databases, an individual-level dietary data dissemination platform, and capacity development activities. Although the INDDEX Project activities are expected to improve the ability of researchers and policymakers in low-income countries to collect, process, and use dietary data, the global nutrition community is urged to commit further significant investments in order to adequately address the range and scope of challenges described in this paper.

Indexed as

Developing CountriesDietNutrition AssessmentDatabases, FactualFeasibility StudiesHumansMobile ApplicationsNutritional StatusNutrition PolicyNutrition SurveysReproducibility of Resultsautomated assessmentdeveloping countriesdietary intakefood compositionindividual-level dietary assessmentinnovationlow-income countriestechnology

Identifiers

PMID28300759
PMCPMC5372952

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.