Evidence map›Paper›PMID 36432551›Full record

ArticleNutrients2022

Factors Associated with Dietary Restriction and Emotional and Uncontrolled Eating in Adults from Spanish-Speaking Countries during the COVID-19 Confinement: Results of the CoV-Eat Project.

Anna Vila-Marti, Catalina Ramírez-Contreras, Evelia Apolinar-Jiménez, Pía Rojas-Cárdenas, Desirée Valera-Gran, Rafael Almendra-Pegueros, Eva María Navarrete-Muñoz

Abstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

7 authors.

Anna Vila-MartiResearch Group M3O, Methodology, Methods, Models and Outcomes of Health and Social Sciences, Facultat de Ciències de la Salut i el Benestar, Universitat de Vic-Universitat Central de Catalunya, 08500 Vic, Catalonia, Spain.ORCID 0000-0003-3077-2653
Catalina Ramírez-ContrerasDepartamento de Nutrición, Ciencias de la Alimentación y Gastronomía, Facultad de Farmacia y Ciencias de la Alimentación, Universidad de Barcelona, 08028 Barcelona, Spain.ORCID 0000-0002-3691-5136
Evelia Apolinar-JiménezUnidad de Metabolismo y Nutrición, Departamento de Investigación, Hospital Regional de Alta Especialidad del Bajío, León 37660, Mexico.
Pía Rojas-CárdenasCarrera de Nutrición y Dietética, Facultad de Ciencias de la Salud, Universidad Adventista de Chile, Chillán 3780000, Chile.ORCID 0000-0002-6208-0830
Desirée Valera-GranGrupo de Investigación en Terapia Ocupacional (InTeO), Universidad Miguel Hernández, 03202 Elche, Spain.ORCID 0000-0001-6388-127X
Rafael Almendra-PeguerosInstitut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Sant Quintí 77-79, 08041 Barcelona, Spain.ORCID 0000-0002-4411-4515
Eva María Navarrete-MuñozGrupo de Investigación en Terapia Ocupacional (InTeO), Universidad Miguel Hernández, 03202 Elche, Spain.ORCID 0000-0002-1494-5676

Funding

Miguel Hernandez University Non number
6 · The paper itself

Abstract

The first COVID-19 confinement has led to changes in the population’s behaviour. However, little has been analysed about the changes in eating behaviour beyond the decrease in adherence to healthy dietary patterns. The aim of the CoV-Eat project was to identify factors related to each of the following eating behaviours (EB): cognitive restraints (CR), uncontrolled eating (UE), and emotional eating (EE) in adults from Spanish-speaking countries. Participants completed an anonymous online survey. EB was assessed using the Three-Factor Eating Questionnaire and the scores were classified into tertiles. Socio-demographic characteristics and lifestyle habits including physical activity, sleep quality, screen use, smoking consumption, and relationship with food were also collected. A total of 9849 participants from 21 countries were included in this study. The median of CR, UE, and EE behaviours was 15, 24, and 9, respectively. We observed that higher age, days of confinement, number of times leaving home in the last week, changes in sleep quality, and their relationship with food were negatively associated with CR, EE, and UE, while being a man was positively associated with an increased in all these EBs. A higher household income was negatively associated with a higher score of CR, and a higher education level (>primary) was positively associated with a medium score of EE. Lower physical activity was a factor negatively associated with a medium score of EE and UE. Higher screen use showed the same negative association for a medium score of EE and UE and a high score of CR. In addition, higher tobacco consumption was found to be a protective factor against having a medium or high score of CR and EE. In conclusion, some sociodemographic characteristics and lifestyle changes may be important factors for EB and should be considered in emergency situations such as confinement to prevent risky eating behaviour.

Indexed as

COVID-19AdultEmotionsExerciseFeeding BehaviorHumansMaleSurveys and QuestionnairesconfinementCOVID-19feeding behaviourthree-factor eating questionnaire

Identifiers

PMID36432551
PMCPMC9693495

What OpenQuestion holds

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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.