{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T00:09:11Z","timestamp":1782950951766,"version":"3.54.5"},"reference-count":57,"publisher":"Public Library of Science (PLoS)","issue":"8","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:sec id=\"sec001\">\n<jats:title>Background<\/jats:title>\n<jats:p>Current evidence linking sedentary behavior (SB), physical activity (PA), and inflammation raises questions about their causal relationships, prompting concerns about potential residual confounding or reverse causation.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec002\">\n<jats:title>Methods<\/jats:title>\n<jats:p>A bidirectional Mendelian randomization (MR) analysis was conducted. SB data (n = 408,815) from \u201ccomputer use,\u201d \u201ctelevision watching,\u201d and \u201cdriving\u201d were included. The PA data encompassed nine types of PA (n = 460,376) over the last four weeks and included data on the frequency of vigorous PA (n = 440,512) and moderate PA (n = 440,266) for over 10 min. Additionally, three genome-wide association study datasets (n = 64,949) on light, moderate, and vigorous exercise were included to minimize potential bias from changes in exercise intensity. Inflammation data included levels of C-reactive protein (CRP) (n = 575,531), glycoprotein acetyl (GlycA) (n = 115,082), interleukin (IL)-8, IL-6, IL-6 receptor (IL-6R), and soluble IL-6R (sIL-6R) (n = 35,278). All datasets represented participants of European ancestry.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec003\">\n<jats:title>Results<\/jats:title>\n<jats:p>Television watching as an SB showed significant positive causal effects on GlycA and CRP (inverse variance weighted (IVW), odds ratios (OR): 1.34, 95% confidence intervals (CI): 1.25\u20131.44, <jats:italic>p<\/jats:italic> = 3.570 \u00d7 10<jats:sup>\u221217<\/jats:sup>; IVW, OR: 1.21, 95% CI: 1.16\u20131.26, <jats:italic>p<\/jats:italic> = 1.500 \u00d7 10<jats:sup>\u221219<\/jats:sup>, respectively), with more robust evidence for GlycA. In the direction from inflammation to PA, a negative causal relationship between CRP and\u201cnumber of days\/week of moderate PA 10+ minutes\u201dwas observed (IVW, OR: 0.92, 95% CI: 0.89\u20130.96, <jats:italic>p<\/jats:italic> = 3.260 \u00d7 10<jats:sup>\u22125<\/jats:sup>). Sensitivity analyses were used to verify the robustness and reliability of the results. However, other initially observed associations ceased to be significant after controlling for obesity-related confounders.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec004\">\n<jats:title>Conclusion<\/jats:title>\n<jats:p>Our MR analysis suggested a potential causal relationship between television watching and chronic low-grade inflammation, with more substantial evidence for GlycA. Additionally, different types of SB may have varying effects on inflammation. Obesity-related traits could partly or entirely influence the relationship between SB, PA, and inflammatory markers. Furthermore, Our findings indicate that SB is an independent risk factor for inflammation, separate from PA, and highlight the different mechanisms by which SB and PA affect disease.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pone.0308301","type":"journal-article","created":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T18:23:11Z","timestamp":1722536591000},"page":"e0308301","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":4,"title":["Sedentary behavior from television watching elevates GlycA levels: A bidirectional Mendelian randomization 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