Evidence map›Paper›PMID 35927689›Full record

ArticleJournal of health, population, and nutrition2022

Quality of the diet during the COVID-19 pandemic in 11 Latin-American countries.

Samuel Durán-Agüero, Alfonsina Ortiz, Patricio Pérez-Armijo, María Fernanda Vinueza-Veloz, Israel Ríos-Castillo, Saby Camacho-Lopez, Brian M Cavagnari, Edna J Nava-González, Valeria Carpio-Arias, Karla Cordón-Arrivillaga and 7 more

Open access · goldAbstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

17 authors at 15 institutions in 14 countries.

Samuel Durán-AgüeroEscuela de Nutrición y Dietética, Facultad de Ciencias Para el Cuidado de la Salud, Universidad San Sebastián, Santiago de Chile, Chile.
Alfonsina OrtizDepartamento de Nutrición, Facultad de Ciencias de La Salud, Universidad Católica del Uruguay, Montevideo, Uruguay.
Patricio Pérez-ArmijoDepartamento de Medicina Preventiva y Salud Pública, Facultad de Farmacia, Universidad del País Vasco UPV/EHU, Barrio Sarriena, Spain.
María Fernanda Vinueza-VelozPSICOMED Research Group, School of Medicine, Faculty of Public Health, Escuela Superior Politécnica de Chimborazo, Riobamba, Ecuador.
Israel Ríos-CastilloOrganización de las Naciones Unidas para la Alimentación y la Agricultura (FAO), Oficina Subregional de la FAO Para Mesoamérica, Panama City, Panama.
Saby Camacho-LopezNutrir México, Mexico, Mexico.
Brian M CavagnariEscuela de Nutrición, Facultad de Ciencias Médicas, Pontificia Universidad Católica Argentina, Puerto Madero, Argentina.
Edna J Nava-GonzálezFacultad de Salud Pública y Nutrición, Universidad Autónoma de Nuevo León, San Nicolás, México.
Valeria Carpio-AriasGrupo de Investigación en Alimentación y Nutrición Humana (GIANH), Facultad de Salud Pública, Escuela Superior Politécnica de Chimborazo, Riobamba, Ecuador.
Karla Cordón-ArrivillagaUnidad de Investigación en Seguridad Alimentaria y Nutricional (UNISAN), Escuela de Nutrición, Facultad de Ciencias Químicas y Farmacia, Universidad de San Carlos de Guatemala, Guatemala, Guatemala.
Saby Mauricio-AlzaUniversidad Privada Norbert Wiener, Lima, Peru.
Jhon Jairo Bejarano RoncancioDepartamento de Nutrición Humana, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, Colombia.
Beatríz Nuñez-MartínezUniversidad Autónoma de Asunción, Asunción, Paraguay.
Gabriel González-MedinaDepartamento de Salud Pública, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
Sonia IvancovichAsociación Costarricense de Nutricionistas y Dietistas, San José, Costa Rica.
Eliana Romina Meza-MirandaCentro Multidisciplinario de Investigaciones Tecnológicas, Universidad Nacional de Asunción, San Lorenzo, Paraguay.
Leslie Landaeta-DíazFacultad de Salud y Ciencias Sociales, Universidad de Las Américas, Av. Walker Martínez 1360, Piso 3 Edificio A, La Florida, Santiago, Chile. llandaeta@udla.cl.ORCID 0000-0001-8970-1150
Escuela Superior Politécnica del Chimborazo · ECAsociación Demográfica Costarricense · CRPontificia Universidad Católica Argentina · ARPontificia Universidad Católica de Chile · CLSan Sebastián University · CLUniversidad Autónoma de Asunción · PYUniversidad Autónoma de Nuevo León · MXUniversidad Católica del Uruguay · UYUniversidad de Panamá · PAUniversidad de San Carlos de Guatemala · GTUniversidad Nacional de Asunción · PYUniversidad Nacional de Colombia · COUniversidad Norbert Wiener · PEUniversity of the Americas · CLUniversity of the Basque Country · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe confinement by COVID-19 has affected the food chain and environments, which added to factors such as anxiety, frustration, fear and stress have modified the quality of the diet in the population around the world. The purpose of this study was to explore diet quality during the COVID-19 pandemic in 11 Latin American countries. METHODOLOGY: Multicentric, cross-sectional study. An online survey was applied to residents of 11 Latin-American countries, during April and May 2020, when confinement was mandatory. Diet quality was evaluated using a validated questionnaire.

result10,573 people participated in the study. The quality of the food by country shows that Colombia presented the best quality, while Chile and Paraguay presented the lowest. When comparing the overall results of diet quality by gender, schooling and age, women, people with more schooling and people under 30 years of age, presented better diet quality. The regression model showed that the variables associated with diet quality were: age (df = 3, F = 4. 57, p < 0.001), sex (df = 1, F = 131.01, p < 0.001), level of education (df = 1, F = 38.29, p < 0.001), perception of weight change (df = 2, F = 135.31, p < 0.001), basis services (df = 1, F = 8.63, p = 0.003), and quarantine (df = 1, F = 12.14, p = 0.001).

conclusionIt is necessary for governments to intervene to reverse these indicators, considering that inadequate feeding favors the appearance of no communicable diseases, which favor a higher risk of infection and worse prognosis with COVID-19.

Indexed as

COVID-19AdultCross-Sectional StudiesDietFemaleHumansPandemicsQuarantineUnited StatesCOVID-19EducationFoodFood qualityQuarantineWeight

Identifiers

PMID35927689
PMCPMC9351126
OpenAlexW4289754982

What OpenQuestion holds

Textmetadata
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.