Evidence map›Paper›PMID 36777803›Full record

ArticleNutrition research and practice2023

Who has experienced better or worse health conditions since the outbreak of COVID-19?: results from a representative cross-sectional survey in Seoul.

Eunbin Jo, Hyelim Yoo, Kirang Kim, Sunup Kim, Chul-Kyoo Kim, Haeyoen Lee, Jinsook Jeong, Sohyun Park

Open access · diamondAbstract read
In one paragraph

Article in Nutrition research and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  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

8 authors at 4 institutions in 3 countries.

Eunbin JoDepartment of Food Science and Nutrition, Hallym University, Chuncheon 24252, Korea.ORCID https://orcid.org/0000-0003-2851-4364
Hyelim YooDepartment of Food Science and Nutrition, Hallym University, Chuncheon 24252, Korea.ORCID https://orcid.org/0000-0003-4279-7823
Kirang KimDepartment of Food Science and Nutrition, Dankook University, Cheonan 31116, Korea.ORCID https://orcid.org/0000-0003-3054-8758
Sunup KimInstitute of Social Research, Korea University, Seoul 02841, Korea.ORCID https://orcid.org/0000-0003-1256-2628
Chul-Kyoo KimDepartment of Sociology, Korea University, Seoul 02841, Korea.ORCID https://orcid.org/0000-0002-7664-1862
Haeyoen LeeFood Policy Division, Bureau of Citizens' Health, City Hall, Seoul 04524, Korea.ORCID https://orcid.org/0000-0002-4104-6748
Jinsook JeongFood Policy Division, Bureau of Citizens' Health, City Hall, Seoul 04524, Korea.ORCID https://orcid.org/0000-0002-0683-0107
Sohyun ParkDepartment of Food Science and Nutrition, Hallym University, Chuncheon 24252, Korea.ORCID https://orcid.org/0000-0001-6009-1002
Hallym University · KRAddis Ababa City Administration Health Bureau · ETKorea University · KRDankook University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesThe coronavirus disease 2019 (COVID-19) pandemic has affected the entire world population in many ways. This study aimed to analyze the patterns of changes in eating, food purchasing and preparation, physical activity, and subjective health after COVID-19 outbreak by various sociodemographic factors and to understand the factors associated with changes in subjective health. SUBJECTS/

methodsA cross-sectional survey using a representative sample from Seoul was used for the analysis. The data collection was conducted from September to October 2020. A total of 3,833 citizens aged more than 18 years old participated in the Seoul Food Survey. Descriptive statistics and generalized ordinal logistic regression models were used to understand the changes in health behaviors, health indicators, and subjective general health by various socioeconomic status.

resultsIt was shown that the changes in household income, food expenditure, food consumption and physical activities differed significantly by age, education, occupation, income, weight, and food security status. Low-income and food-insecure households were affected more severely by the pandemic. Older age, household food insecurity, income reduction, increased home cooking and frequency of having instant foods, decreased physical activity and weight gain were significant factors explaining worse perceived health during the COVID-19 pandemic.

conclusionsThe results suggest that focusing on older populations and low-income families with food insecurity should be prioritized during infectious disease outbreaks. In addition, the role of physical activities and instant food consumption in explaining perceived health should be investigated further in this prolonged battle with the pandemic situation.

Indexed as

COVID-19food insecurityhealth behaviorphysical activitysubjective health

Identifiers

PMID36777803
PMCPMC9884592
OpenAlexW4317914222

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.