Evidence map›Paper›PMID 40501466›Full record

ArticleWorld journal of hepatology2025

Association between weight fluctuation and the risk of metabolic dysfunction-associated steatotic liver disease.

Jin-Ping Wang, Jia-Yang Wang, Pei-Qi Sun, Xue-Wei Wang, Ze-Ting Yuan, Qin Cao, Shu-Ming Pan, Yuan-Ye Jiang

Abstract read
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Article in World journal of hepatology, 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

8 authors.

Jin-Ping WangDepartment of Gastroenterology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Jia-Yang WangDepartment of Gastroenterology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Pei-Qi SunDepartment of Gastroenterology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Xue-Wei WangDepartment of Gastroenterology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Ze-Ting YuanDepartment of Gastroenterology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Qin CaoDepartment of Gastroenterology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Shu-Ming PanDepartment of Emergency, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Yuan-Ye JiangDepartment of Gastroenterology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China. yuanye1014@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe global incidence of metabolic dysfunction-associated steatotic liver disease (MASLD) has increased in recent years. It has already been demonstrated that exercise and weight change are associated with the occurrence of MASLD; however, the association between weight fluctuation caused by different exercise intensities and the risk of MASLD remains to be studied.

aimTo investigate the impact of weight fluctuation and physical activity intensity on the risk of MASLD prevalence.

methodsData from the National Health and Nutrition Examination Survey database including five cycles from 2009 to 2018 were analyzed. The model included variables such as age, sex, and poverty income ratio. Weighted multivariate logistic regression was used to examine the influence of different weight fluctuation patterns within the two time intervals on the prevalence of MASLD. Nonparametric restricted cubic spline curves were used to analyze the non-linear relationship between net weight change and MASLD prevalence.

resultsAmong 3183 MASLD cases, the risk of MASLD increased with age for individuals transitioning from non-obese to obese or maintaining obesity, with odds ratio (OR) changing from 8.91 (95%CI: 7.40-10.88) and 11.87 (95%CI: 9.65-14.60) at 10 years before baseline to 9.58 (95%CI: 8.08-11.37) and 12.51 (95%CI: 9.33-16.78) at 25 years. Stable obesity correlated with age-dependent MASLD prevalence escalation, whereas increased physical activity attenuated MASLD risk in this group, with an OR changing from 13.64 (95%CI: 10.59-17.57) to 6.42 (95%CI: 4.24-9.72). Further analysis of the net weight changes revealed a paradoxical risk elevation with intensified physical activity during different time periods.

conclusionThe risk of MASLD increases in individuals transitioning from non-obese to obese or maintaining obesity. High-intensity physical activity is beneficial for MASLD among individuals with stable obesity.

Indexed as

Body mass indexMetabolic dysfunction-associated steatohepatitisMetabolic dysfunction-associated steatotic liver diseaseNet weightPhysical activity intensityWeight fluctuation

Identifiers

PMID40501466
PMCPMC12149894

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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.