Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Jun 27:12:1579453.
doi: 10.3389/fnut.2025.1579453. eCollection 2025.

The association between sedentary behavior and MASLD in overweight and obese adults: investigating the role of inflammatory markers using NHANES data (2017-March 2020)

Zehong Zhou #  1 , Linfang Li #  2 , Chusi Wang #  3 , Shiqi Li  4 , Pengfei Chen #  2 , Jiesheng Huang #  1 , Ming Peng #  1
Affiliations

The association between sedentary behavior and MASLD in overweight and obese adults: investigating the role of inflammatory markers using NHANES data (2017-March 2020)

Zehong Zhou et al. Front Nutr. .

Abstract

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) has been linked to sedentary behavior (SB), yet the extent to which systemic inflammation mediates this relationship remains unclear. This study aims to demonstrate the mediating function of inflammatory markers in the link between sedentary behavior and metabolic dysfunction-associated steatotic liver disease (MASLD) in overweight and obese individuals.

Methods: In this cross-sectional study, we analyzed pre-pandemic data (2017-March 2020) from the National Health and Nutrition Examination Survey (NHANES), including 3,729 overweight/obese adults with MASLD defined by a controlled attenuation parameter (CAP) ≥ 302 dB/m. Self-reported SB (≥480 min/day vs. <480 min/day) and vigorous recreational activity were assessed alongside inflammatory markers (high-sensitivity C-reactive protein [HSCRP], albumin [ALB], white blood cell count [WBC], and neutrophil count [NE]). And weighted multivariable logistic and linear regression models, as well as mediation analyses, were conducted to account for the complex sampling design of the NHANES data.

Results: Weighted logistic regression showed that severe SB was associated with higher MASLD odds (OR = 1.43, 95% CI: 1.02-1.99), which further increased (OR = 2.88, 95% CI: 1.77-4.71) in participants lacking vigorous physical activity. Independent predictors of MASLD included lower ALB (OR = 0.55) and higher WBC (OR = 1.16) and NE (OR = 1.17). Mediation analysis indicated that HSCRP, ALB, WBC, and NE, respectively, accounted for 10.48, 3.23, 7.17, and 6.46% of the SB - MASLD association.

Conclusion: Our findings suggest that severe sedentary behavior is an independent risk factor for MASLD, with some evidence suggesting that this relationship may be influenced by inflammatory markers. However, longitudinal studies are necessary to better understand the nature of these associations and to explore the underlying mechanisms involved.

Keywords: MASLD; NHANES (National Health and Nutrition Examination Survey); inflammatory markers; mediation analysis; metabolic dysfunction associated steatotic liver disease; sedentary behavior (SB).

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flow chart for participants recruitment, NHANES 2017–2020.
Figure 2
Figure 2
Subgroup analysis forest plot of sedentary behavior and MASLD in different subgroups.
Figure 3
Figure 3
Path diagram of the mediation analysis of inflammatory biomarkers on the relationship between sedentary behavior and MASLD. The graphs in (A–D) represented the mediating role of HSCRP, ALB, WBC and NE, respectively.
See this image and copyright information in PMC

Similar articles

See all similar articles

References

    1. Rinella ME, Neuschwander-Tetri BA, Siddiqui MS, Abdelmalek MF, Caldwell S, Barb D, et al. AASLD practice guidance on the clinical assessment and management of nonalcoholic fatty liver disease. Hepatology. (2023) 77:1797–835. doi: 10.1097/HEP.0000000000000323, PMID: - DOI - PMC - PubMed
    1. Quek J, Chan KE, Wong ZY, Tan C, Tan B, Lim WH, et al. Global prevalence of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis in the overweight and obese population: a systematic review and meta-analysis. Lancet Gastroenterol Hepatol. (2023) 8:20–30. doi: 10.1016/S2468-1253(22)00317-X, PMID: - DOI - PubMed
    1. Younossi Z, Tacke F, Arrese M, Chander Sharma B, Mostafa I, Bugianesi E, et al. Global perspectives on nonalcoholic fatty liver disease and nonalcoholic steatohepatitis. Hepatology. (2019) 69:2672–82. doi: 10.1002/hep.30251, PMID: - DOI - PubMed
    1. Younossi ZM, Wong G, Anstee QM, Henry L. The global burden of liver disease. Clin Gastroenterol Hepatol. (2023) 21:1978–91. doi: 10.1016/j.cgh.2023.04.015, PMID: - DOI - PubMed
    1. Younossi ZM, Tampi R, Priyadarshini M, Nader F, Younossi IM, Racila A. Burden of illness and economic model for patients with nonalcoholic steatohepatitis in the United States. Hepatology. (2019) 69:564–72. doi: 10.1002/hep.30254, PMID: - DOI - PubMed

LinkOut - more resources