Evidence map›Paper›PMID 38707393›Full record

ArticleHeliyon2024

National trends of allergic diseases and pandemic-related factors among individuals with obesity in South Korea: A nationwide representative serial study, 2005-2021.

Yejun Son, Jaeyu Park, Yujin Choi, Hyejun Kim, Jiseung Kang, Lee Smith, Kyung Sik Yoon, Selin Woo, Dong Keon Yon

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

9 authors.

Yejun SonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Jaeyu ParkCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Yujin ChoiCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Hyejun KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Jiseung KangDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA.
Lee SmithCentre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK.
Kyung Sik YoonDepartment of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, South Korea.
Selin WooCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although obesity is known to be related to allergic diseases, few studies have investigated the prevalence of allergic diseases in individuals with obesity, especially during the COVID-19 pandemic. Thus, this study aimed to analyze national trends of allergic diseases among individuals with obesity and sociodemographic factors. Methods: This study used data from the Korea National Health and Nutrition Examination Survey to examine the prevalence of allergic diseases among individuals with obesity in South Korea from 2005 to 2021. A nationally representative sample of 118,275 participants aged over 2 years or above was divided into six groups for analysis. This study used weighted multivariate regression analysis to examine the estimates of related factors. It assessed the weighted odds ratios or β-coefficients for these factors across different categories, including age, sex, region of residence, education level, household income, and body mass index for the entire population. Results: All allergic diseases showed a general upward trend from 2005 to 2021, but each disease showed different prevalence trends when compared by age. Before the pandemic, those aged ≤39 years had an increasing trend for asthma and AD, but those aged ≥40 years had a decreasing trend. For asthma, β-coefficients were 0.629 (95 % CI, 0.299 to 0.958) for 19-39 years, -0.245 (-0.450 to -0.040) for 40-59 years, and -0.668 (-1.024 to -0.313) for ≥60 years. For AD, β-coefficients were 2.514 (1.258-3.769) in those aged 2-18 years, 0.630 (0.173-1.086) in those aged 19-39 years, -0.458 (-0.648 to -0.268) in those aged 40-59 years, and -0.253 (-0.454 to -0.052) in those aged ≥60 years. However, for both asthma and AD, there were no significant changes in prevalence during the pandemic. In the case of AR, trends were different from those of asthma and AD. Before the pandemic, AR showed an increasing trend in those aged ≤39 years and those aged ≥40 years: β-coefficients were 3.067 (2.344-3.790) in 19-39 years, 2.051 (1.609-2.493) in 40-59 years, and 1.173 (0.820-1.526) in ≥60 years. During the pandemic, there was an increasing trend only among those aged 40-59, with no significant changes in other age groups: β-coefficients were 1.438 (0.065-2.811) in 40-59 years. Conclusions: From 2005 to 2021, all allergic diseases (asthma, AD, and AR) increased overall, but with different age-related trends. No significant link was found between COVID-19 and allergic diseases, possibly due to preventive measures like mask-wearing and social distancing. Anxiety about accessing healthcare during the pandemic likely contributed to a decline in allergy diagnoses, highlighting the need for comprehensive strategies to manage and prevent allergic diseases.

Indexed as

Allergic rhinitisAsthmaAtopic dermatitisEpidemiologyNationalObesitySouth KoreaTrend

Identifiers

PMID38707393
PMCPMC11066621

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.