Evidence map›Paper›PMID 32635544›Full record

ArticleNutrients2020

Dietary Diversity and Micronutrients Adequacy in Women of Childbearing Age: Results from ELANS Study.

Georgina Gómez, Ágatha Nogueira Previdelli, Regina Mara Fisberg, Irina Kovalskys, Mauro Fisberg, Marianella Herrera-Cuenca, Lilia Yadira Cortés Sanabria, Martha Cecilia Yépez García, Attilio Rigotti, María Reyna Liria-Domínguez and 4 more

Abstract read
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 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

49 citing papers in PubMed, 1 synthesis or guideline 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

14 authors.

Georgina GómezDepartamento de Bioquimica, Escuela de Medicina, Universidad de Costa Rica, San Jose 94088, Costa Rica.ORCID 0000-0003-3514-2984
Ágatha Nogueira PrevidelliFaculdade de Ciencias Biologicas e da Saude, Universidade Sao Judas Tadeu, Sao Paulo 01000, Brazil.ORCID 0000-0003-0032-4323
Regina Mara FisbergDepartamento de Nutriçao, Faculdade de Saude Publica, Universidade de Sao Paulo, Sao Paulo 01000, Brazil.ORCID 0000-0002-4490-9035
Irina KovalskysCommittee of Nutrition and Wellbeing, International Life Science Institute (ILSI-Argentina), Buenos Aires C1059ABF, Argentina.ORCID 0000-0001-8481-5415
Mauro FisbergInstituto Pensi, Fundaçao Jose Egydio Setubal, Sabara Hospital Infantil, Sao Paulo 01239-040, Brazil.
Marianella Herrera-CuencaCentro de Estudios del Desarrollo, Universidad Central de Venezuela, Caracas 1010, Venezuela.ORCID 0000-0003-0162-3480
Lilia Yadira Cortés SanabriaDepartamento de Nutricion y Bioquimica, Pontificia Universidad Javeriana, Bogota 110111, Colombia.ORCID 0000-0003-2789-3219
Martha Cecilia Yépez GarcíaColegio de Ciencias de la Salud, Universidad San Francisco de Quito, Quito 17-1200-841, Ecuador.ORCID 0000-0003-4119-238X
Attilio RigottiCentro de Nutricion Molecular y Enfermedades Cronicas, Departamento de Nutricion, Diabetes y Metabolismo, Escuela de Medicina, Pontificia Universidad Catolica, Santiago 833-0024, Chile.
María Reyna Liria-DomínguezInstituto de Investigacion Nutricional, La Molina, Lima 15026, Peru.ORCID 0000-0002-5637-1519
Viviana GuajardoCommittee of Nutrition and Wellbeing, International Life Science Institute (ILSI-Argentina), Buenos Aires C1059ABF, Argentina.ORCID 0000-0001-6629-9891
Dayana QuesadaDepartamento de Bioquimica, Escuela de Medicina, Universidad de Costa Rica, San Jose 94088, Costa Rica.
Ana Gabriela MurilloDepartamento de Bioquimica, Escuela de Medicina, Universidad de Costa Rica, San Jose 94088, Costa Rica.
Juan Carlos BrenesInstituto de Investigaciones Psicologicas & Centro de Investigacion en Neurociencias, Universidad de Costa Rica, San Jose 11501, Costa Rica.ORCID 0000-0003-3746-7272

Funding

Coca-Cola 1145835
6 · The paper itself

Abstract

Dietary diversity, an important component of diet quality, is associated with an increased probability of adequate micronutrient intake. Women of childbearing age (WCA) are particularly vulnerable to micronutrient inadequacy. The Minimum Dietary Diversity for Women (MDD-W) has been used widely as a proxy measurement of micronutrient adequacy. This study aimed to assess the association between MDD-W and nutrients adequacy among WCA of eight Latin American countries. Nutrient intakes from 3704 WCA were analyzed with two 24-hour dietary recalls. Dietary diversity was calculated based on ten food groups with a cut-off point of intake ≥5 groups. The mean dietary diversity score was 4.72 points, and 57.7% of WCA achieved MDD-W. Vitamin D and E showed a mean Nutrient Adequacy Ratio (NAR) of 0.03 and 0.38, respectively. WCA with a diverse diet (MDD-W > 5) reported a significantly higher intake of most micronutrients and healthy food groups with less consumption of red and processed meats and sugar-sweetened beverages. MDD-W was significantly associated with the mean adequacy ratio (MAR) of 18 micronutrients evaluated. Nevertheless, even those women with a diverse diet fell short of meeting the Estimated Average Requirements (EAR) for vitamins D and E. MDD-W is an appropriate tool to evaluate micronutrients adequacy in WCA from Latin America, showing that women who achieved the MDD-W reported higher adequacy ratios for most micronutrients and an overall healthier diet.

Indexed as

AdolescentAdultDiet, HealthyDiet SurveysFemaleHumansLatin AmericaMicronutrientsMiddle AgedNutritional RequirementsNutritional StatusNutrition AssessmentYoung AdultMicronutrientsDietary diversityfood groupsmicronutrientsnutrient adequacywomen of reproductive age

Identifiers

PMID32635544
PMCPMC7400493

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.