Evidence map›Paper›PMID 39595777›Full record

ArticleInternational journal of environmental research and public health2024

The Impact of the COVID-19 Pandemic: A Longitudinal Analysis of Body Weight Variations and Their Implications for Daily Habits.

Marina Martins Daniel, Juliana Costa Liboredo, Tamires Cássia de Melo Souza, Lucilene Rezende Anastácio, Alida Rosária Silva Ferreira, Lívia Garcia Ferreira

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Marina Martins DanielDepartment of Nutrition, Universidade Federal de Lavras (UFLA), Lavras 37200-900, MG, Brazil.
Juliana Costa LiboredoDepartment of Nutrition, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte 30130-1000, MG, Brazil.ORCID 0000-0002-5972-8480
Tamires Cássia de Melo SouzaDepartment of Food Science, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte 31270-901, MG, Brazil.ORCID 0000-0002-1077-0186
Lucilene Rezende AnastácioDepartment of Food Science, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte 31270-901, MG, Brazil.ORCID 0000-0002-2269-0722
Alida Rosária Silva FerreiraDemography Post-Graduation Program, Economic Sciences, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte 31270-901, MG, Brazil.
Lívia Garcia FerreiraDepartment of Nutrition, Universidade Federal de Lavras (UFLA), Lavras 37200-900, MG, Brazil.ORCID 0000-0002-8089-351X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing changes in lifestyle, dietary habits, eating behaviors, and stress during the pandemic and their impact on weight is crucial for developing effective interventions. This study investigated weight variations among Brazilians and associated habit changes over nine months during the COVID-19 pandemic. An online questionnaire was applied (T0/T1, T2). Weight variation classifications were determined from T0 to T1 and evaluated longitudinally for changes in lifestyle, dietary habits, food consumption, eating behavior, and perceived stress using generalized estimating equations (

Indexed as

Body WeightCOVID-19Feeding BehaviorAdultBrazilFemaleHumansLife StyleLongitudinal StudiesMaleMiddle AgedPandemicsSARS-CoV-2Stress, PsychologicalSurveys and QuestionnairesYoung Adultbehaviorsbody weight changeshabitspandemic

Identifiers

PMID39595777
PMCPMC11594231

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.