Evidence map›Paper›PMID 42474123›Full record

ArticleThe Journal of international medical research2026

The association between physical activity and metabolic dysfunction-associated steatotic liver disease: Evidence from the National Health and Nutrition Examination Survey and UK Biobank.

Yiping Shen, Meiyu Chen, Shiqi Zhu, Jiaxi Lin, Lihe Liu, Chengyi Zhu, Jinzhou Zhu, Chunfang Xu

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Article in The Journal of international medical research, 2026. 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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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

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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

8 authors.

Yiping ShenDepartment of Gastroenterology, The First Affiliated Hospital of Soochow University, China.ORCID 0009-0004-2816-7141
Meiyu ChenDepartment of Gastroenterology, The First Affiliated Hospital of Soochow University, China.ORCID 0009-0008-4817-4428
Shiqi ZhuDepartment of Gastroenterology, The First Affiliated Hospital of Soochow University, China.
Jiaxi LinDepartment of Gastroenterology, The First Affiliated Hospital of Soochow University, China.
Lihe LiuDepartment of Gastroenterology, The First Affiliated Hospital of Soochow University, China.
Chengyi ZhuDepartment of Gastroenterology, The First Affiliated Hospital of Soochow University, China.
Jinzhou ZhuDepartment of Gastroenterology, The First Affiliated Hospital of Soochow University, China.ORCID 0000-0003-0544-9248
Chunfang XuDepartment of Gastroenterology, The First Affiliated Hospital of Soochow University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveThere is limited prospective evidence on the association of physical activity with metabolic dysfunction-associated steatotic liver disease. We aimed to use data from two major databases to systematically quantify the correlation of physical activity with the risk of metabolic dysfunction-associated steatotic liver disease.MethodsThis study used data from the National Health and Nutrition Examination Survey (2007-2020) and UK Biobank. Initially, a cross-sectional study was conducted using the data from the National Health and Nutrition Examination Survey data to assess the links between physical activity and metabolic dysfunction-associated steatotic liver disease using weighted logistic regression analysis with appropriate sample weights to ensure national representativeness. Subsequently, Cox proportional hazards regression and restricted cubic splines models were applied to infer causality and evaluate the potential dose-response relationships in the UK Biobank cohort over a median follow-up period of 14.18 years. Additionally, subgroup and sensitivity analyses were conducted to test the robustness of the results.ResultsIn the National Health and Nutrition Examination Survey, higher physical activity levels were inversely associated with metabolic dysfunction-associated steatotic liver disease risk (odds ratio: 0.78, 95% confidence interval: 0.63-0.97). This finding was supported in the UK Biobank cohort (hazard ratio: 0.57, 95% confidence interval: 0.34-0.76). A nonlinear dose-response relationship existed between physical activity and metabolic dysfunction-associated steatotic liver disease (

Indexed as

ExerciseFatty LiverMetabolic DiseasesAdultAgedBiological Specimen BanksCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsUK BiobankUnited KingdomLifestylemetabolic dysfunction–associated steatotic liver diseaseNational Health and Nutrition Examination Surveyphysical activityUK Biobank

Identifiers

PMID42474123
PMCPMC13385587

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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.