Sedentary behavior from television watching elevates GlycA levels: A bidirectional Mendelian randomization study
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. A bidirectional Mendelian randomization (MR) analysis was conducted. SB data (n...
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| description | 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.
A bidirectional Mendelian randomization (MR) analysis was conducted. SB data (n = 408,815) from "computer use," "television watching," and "driving" 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.
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): 1.25-1.44, p = 3.570 × 10-17; IVW, OR: 1.21, 95% CI: 1.16-1.26, p = 1.500 × 10-19, respectively), with more robust evidence for GlycA. In the direction from inflammation to PA, a negative causal relationship between CRP and"number of days/week of moderate PA 10+ minutes"was observed (IVW, OR: 0.92, 95% CI: 0.89-0.96, p = 3.260 × 10-5). 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.
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. |
| doi_str_mv | 10.1371/journal.pone.0308301 |
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A bidirectional Mendelian randomization (MR) analysis was conducted. SB data (n = 408,815) from "computer use," "television watching," and "driving" 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.
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): 1.25-1.44, p = 3.570 × 10-17; IVW, OR: 1.21, 95% CI: 1.16-1.26, p = 1.500 × 10-19, respectively), with more robust evidence for GlycA. In the direction from inflammation to PA, a negative causal relationship between CRP and"number of days/week of moderate PA 10+ minutes"was observed (IVW, OR: 0.92, 95% CI: 0.89-0.96, p = 3.260 × 10-5). 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.
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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0308301</identifier><identifier>PMID: 39088575</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Biobanks ; Biology and Life Sciences ; Body mass index ; C-reactive protein ; C-Reactive Protein - metabolism ; Causality ; Computer use ; Cytokines ; Datasets ; Diabetes ; Exercise ; Female ; Genome-wide association studies ; Genome-Wide Association Study ; Genomes ; Genomics ; Glycoproteins ; Health aspects ; Humans ; Inflammation ; Inflammation - genetics ; Inflammation - metabolism ; Interleukin 6 ; Interleukin 6 receptors ; Interleukins ; Luminous intensity ; Male ; Medicine and Health Sciences ; Mendelian Randomization Analysis ; Metabolism ; Obesity ; Physical activity ; Physical fitness ; Physiological aspects ; Randomization ; Risk factors ; Robust control ; Sedentary Behavior ; Sensitivity analysis ; Social Sciences ; Television ; Television viewers ; Type 2 diabetes</subject><ispartof>PloS one, 2024-08, Vol.19 (8), p.e0308301</ispartof><rights>Copyright: © 2024 Miao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Miao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Miao et al 2024 Miao et al</rights><rights>2024 Miao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c642t-6e67a32e2dfc2f08cf5aa159499185b7e4ada94733d763441f600ccf86c9441d3</cites><orcidid>0009-0001-3974-5072</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11293667/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11293667/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79569,79570</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39088575$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Miao, Shuchuan</creatorcontrib><creatorcontrib>Wang, Xiaoyan</creatorcontrib><creatorcontrib>Ma, Lu</creatorcontrib><creatorcontrib>You, Chao</creatorcontrib><title>Sedentary behavior from television watching elevates GlycA levels: A bidirectional Mendelian randomization study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
A bidirectional Mendelian randomization (MR) analysis was conducted. SB data (n = 408,815) from "computer use," "television watching," and "driving" 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.
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): 1.25-1.44, p = 3.570 × 10-17; IVW, OR: 1.21, 95% CI: 1.16-1.26, p = 1.500 × 10-19, respectively), with more robust evidence for GlycA. In the direction from inflammation to PA, a negative causal relationship between CRP and"number of days/week of moderate PA 10+ minutes"was observed (IVW, OR: 0.92, 95% CI: 0.89-0.96, p = 3.260 × 10-5). 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.
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.</description><subject>Analysis</subject><subject>Biobanks</subject><subject>Biology and Life Sciences</subject><subject>Body mass index</subject><subject>C-reactive protein</subject><subject>C-Reactive Protein - metabolism</subject><subject>Causality</subject><subject>Computer use</subject><subject>Cytokines</subject><subject>Datasets</subject><subject>Diabetes</subject><subject>Exercise</subject><subject>Female</subject><subject>Genome-wide association studies</subject><subject>Genome-Wide Association Study</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Glycoproteins</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Inflammation - genetics</subject><subject>Inflammation - metabolism</subject><subject>Interleukin 6</subject><subject>Interleukin 6 receptors</subject><subject>Interleukins</subject><subject>Luminous intensity</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Mendelian Randomization Analysis</subject><subject>Metabolism</subject><subject>Obesity</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Physiological aspects</subject><subject>Randomization</subject><subject>Risk factors</subject><subject>Robust control</subject><subject>Sedentary Behavior</subject><subject>Sensitivity analysis</subject><subject>Social Sciences</subject><subject>Television</subject><subject>Television viewers</subject><subject>Type 2 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(Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Miao, Shuchuan</au><au>Wang, Xiaoyan</au><au>Ma, Lu</au><au>You, Chao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sedentary behavior from television watching elevates GlycA levels: A bidirectional Mendelian randomization study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-08-01</date><risdate>2024</risdate><volume>19</volume><issue>8</issue><spage>e0308301</spage><pages>e0308301-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.
A bidirectional Mendelian randomization (MR) analysis was conducted. SB data (n = 408,815) from "computer use," "television watching," and "driving" 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.
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): 1.25-1.44, p = 3.570 × 10-17; IVW, OR: 1.21, 95% CI: 1.16-1.26, p = 1.500 × 10-19, respectively), with more robust evidence for GlycA. In the direction from inflammation to PA, a negative causal relationship between CRP and"number of days/week of moderate PA 10+ minutes"was observed (IVW, OR: 0.92, 95% CI: 0.89-0.96, p = 3.260 × 10-5). 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.
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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39088575</pmid><doi>10.1371/journal.pone.0308301</doi><tpages>e0308301</tpages><orcidid>https://orcid.org/0009-0001-3974-5072</orcidid><oa>free_for_read</oa></addata></record> |
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| language | eng |
| recordid | cdi_plos_journals_3087219165 |
| source | Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Analysis Biobanks Biology and Life Sciences Body mass index C-reactive protein C-Reactive Protein - metabolism Causality Computer use Cytokines Datasets Diabetes Exercise Female Genome-wide association studies Genome-Wide Association Study Genomes Genomics Glycoproteins Health aspects Humans Inflammation Inflammation - genetics Inflammation - metabolism Interleukin 6 Interleukin 6 receptors Interleukins Luminous intensity Male Medicine and Health Sciences Mendelian Randomization Analysis Metabolism Obesity Physical activity Physical fitness Physiological aspects Randomization Risk factors Robust control Sedentary Behavior Sensitivity analysis Social Sciences Television Television viewers Type 2 diabetes |
| title | Sedentary behavior from television watching elevates GlycA levels: A bidirectional Mendelian randomization study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T19%3A52%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Sedentary%20behavior%20from%20television%20watching%20elevates%20GlycA%20levels:%20A%20bidirectional%20Mendelian%20randomization%20study&rft.jtitle=PloS%20one&rft.au=Miao,%20Shuchuan&rft.date=2024-08-01&rft.volume=19&rft.issue=8&rft.spage=e0308301&rft.pages=e0308301-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0308301&rft_dat=%3Cgale_plos_%3EA803485554%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3087219165&rft_id=info:pmid/39088575&rft_galeid=A803485554&rft_doaj_id=oai_doaj_org_article_8ec6c48366554819ba58a1eed821a845&rfr_iscdi=true |