Evidence mapPaperPMID 41457580Full record

ArticleThe British journal of nutrition2025

Soda consumption and the risk of metabolic syndrome in Korean adults during the period surrounding the COVID-19 pandemic.

Sehee Wi, Youjin Je

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Article in The British journal of nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Sehee WiDepartment of Food and Nutrition, Kyung Hee Universityhttps://ror.org/01zqcg218, Seoul02447, South Korea.
Youjin JeDepartment of Food and Nutrition, Kyung Hee Universityhttps://ror.org/01zqcg218, Seoul02447, South Korea.ORCID https://orcid.org/0000-0002-2099-4204

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is limited research on the association between soda consumption and the risk of metabolic syndrome (MetS), particularly during the COVID-19 pandemic. This study investigated the relationship between soda consumption and MetS in Korean adults, stratified by sex, and compared differences before and after the pandemic using data from the Korea National Health and Nutrition Examination Survey (2017-2021). A total of 13 051 adults aged 19-64 years were included. Soda consumption was assessed using 24-h recall and categorised into five groups (non-drinkers and four quartiles). Multivariable logistic regression models were used to estimate OR and 95 % CI for MetS and its components. After adjusting for multiple covariates, no significant association was found between soda consumption and MetS overall. However, adults in the highest quartile of soda consumption (≥ 373 g/d) had higher risks of abdominal obesity (

Indexed as

COVID-19KNHANESMetabolic syndromeSex differenceSoda consumption

Identifiers

PMID41457580
PMCPMC13246592

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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.