Sedentary time and markers of chronic low-grade inflammation in a high risk population

Sedentary behaviour has been identified as a distinct risk factor for several health outcomes. Nevertheless, little research has been conducted into the underlying mechanisms driving these observations. This study aimed to investigate the association of objectively measured sedentary time and breaks...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2013-10, Vol.8 (10), p.e78350-e78350
Hauptverfasser: Henson, Joseph, Yates, Thomas, Edwardson, Charlotte L, Khunti, Kamlesh, Talbot, Duncan, Gray, Laura J, Leigh, Thomas M, Carter, Patrice, Davies, Melanie J
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page e78350
container_issue 10
container_start_page e78350
container_title PloS one
container_volume 8
creator Henson, Joseph
Yates, Thomas
Edwardson, Charlotte L
Khunti, Kamlesh
Talbot, Duncan
Gray, Laura J
Leigh, Thomas M
Carter, Patrice
Davies, Melanie J
description Sedentary behaviour has been identified as a distinct risk factor for several health outcomes. Nevertheless, little research has been conducted into the underlying mechanisms driving these observations. This study aimed to investigate the association of objectively measured sedentary time and breaks in sedentary time with markers of chronic low-grade inflammation and adiposity in a population at a high risk of type 2 diabetes mellitus. This study reports data from an ongoing diabetes prevention programme conducted in Leicestershire, UK. High risk individuals were recruited from 10 primary care practices. Sedentary time (10 mg/L, as this can be indicative of acute inflammation. 558 participants (age = 63.6±7.7 years; male = 64.7%) had complete adipokine and accelerometer data. Following adjustment for various confounders, sedentary time was detrimentally associated with CRP (β = 0.176±0.057, p = 0.002), IL-6 (β = 0.242±0.056, p = 
doi_str_mv 10.1371/journal.pone.0078350
format Article
fullrecord <record><control><sourceid>proquest_plos_</sourceid><recordid>TN_cdi_plos_journals_1975712079</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_5af182a06e6847cca79e512c4be32559</doaj_id><sourcerecordid>1975712079</sourcerecordid><originalsourceid>FETCH-LOGICAL-c592t-5a3f0214546d8eb1f500bf32b2ec2ef01be2b2ebba832cebb7b67dc3d84d86923</originalsourceid><addsrcrecordid>eNptUstu1TAQjRCIlsIfILDEhk0ufsSPbJBQxaNSJRY8ttbEmdzrWycOdi6of0_Sm1YtYjVjz5kzZ0anKF4yumFCs3f7eEgDhM0YB9xQqo2Q9FFxymrBS8WpeHwvPyme5bynVAqj1NPihFecSk7NafHzG7Y4TJCuyeR7JDC0pId0hSmT2BG3S3HwjoT4p9wmaJH4oQvQ9zD5OMwPAmTntzuSfL4iYxwP4abyvHjSQcj4Yo1nxY9PH7-ffykvv36-OP9wWTpZ86mUIDrKWSUr1RpsWCcpbTrBG46OY0dZg0veNGAEd3PUjdKtE62pWqNqLs6K10feMcRs15Nky2otNeNU1zPi4ohoI-ztmPy83bWN4O3NR0xbC2nyLqCV0DHDgSpUptLOga5RMu6qBgWXcuF6v047ND22bj5cgvCA9GFl8Du7jb-tMIwzrmaCtytBir8OmCfb--wwBBgwHmbdVVVrNUtfZr35B_r_7aojyqWYc8LuTgyjdrHJbZddbGJXm8xtr-4vctd06wvxF1NWvDQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1975712079</pqid></control><display><type>article</type><title>Sedentary time and markers of chronic low-grade inflammation in a high risk population</title><source>Public Library of Science (PLoS) Journals Open Access</source><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Henson, Joseph ; Yates, Thomas ; Edwardson, Charlotte L ; Khunti, Kamlesh ; Talbot, Duncan ; Gray, Laura J ; Leigh, Thomas M ; Carter, Patrice ; Davies, Melanie J</creator><contributor>Uversky, Vladimir N.</contributor><creatorcontrib>Henson, Joseph ; Yates, Thomas ; Edwardson, Charlotte L ; Khunti, Kamlesh ; Talbot, Duncan ; Gray, Laura J ; Leigh, Thomas M ; Carter, Patrice ; Davies, Melanie J ; Uversky, Vladimir N.</creatorcontrib><description>Sedentary behaviour has been identified as a distinct risk factor for several health outcomes. Nevertheless, little research has been conducted into the underlying mechanisms driving these observations. This study aimed to investigate the association of objectively measured sedentary time and breaks in sedentary time with markers of chronic low-grade inflammation and adiposity in a population at a high risk of type 2 diabetes mellitus. This study reports data from an ongoing diabetes prevention programme conducted in Leicestershire, UK. High risk individuals were recruited from 10 primary care practices. Sedentary time (&lt;25 counts per 15 s) was measured using Actigraph GT3X accelerometers (15 s epochs). A break was considered as any interruption in sedentary time (≥25 counts per 15 s). Biochemical outcomes included interleukin-6 (IL-6), C-reactive protein (CRP), leptin, adiponectin and leptin:adiponectin ratio (LAR). A sensitivity analysis investigated whether results were affected by removing participants with a CRP level &gt;10 mg/L, as this can be indicative of acute inflammation. 558 participants (age = 63.6±7.7 years; male = 64.7%) had complete adipokine and accelerometer data. Following adjustment for various confounders, sedentary time was detrimentally associated with CRP (β = 0.176±0.057, p = 0.002), IL-6 (β = 0.242±0.056, p = &lt;0.001), leptin (β = 0.146±0.043, p = &lt;0.001) and LAR (β = 0.208±0.052, p = &lt;0.001). Associations were attenuated after further adjustment for moderate-to-vigorous physical activity (MVPA) with only IL-6 (β = 0.231±0.073, p = 0.002) remaining significant; this result was unaffected after further adjustment for body mass index and glycosylated haemoglobin (HbA1c). Similarly, breaks in sedentary time were significantly inversely associated with IL-6 (β = -0.094±0.047, p = 0.045) and leptin (β = -0.075±0.037, p = 0.039); however, these associations were attenuated after adjustment for accelerometer derived variables. Excluding individuals with a CRP level &gt;10 mg/L consistently attenuated the significant associations across all markers of inflammation. These novel findings from a high risk population recruited through primary care suggest that sedentary behaviour may influence markers associated with inflammation, independent of MVPA, glycaemia and adiposity.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0078350</identifier><identifier>PMID: 24205208</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Accelerometers ; Adiponectin ; Adiponectin - metabolism ; Adipose tissue ; Adiposity - physiology ; Adjustment ; Attenuation ; Automation ; Biomarkers - metabolism ; Biomedical research ; Blood glucose ; Body mass ; Body Mass Index ; Body size ; C-reactive protein ; C-Reactive Protein - metabolism ; Cardiovascular disease ; Chronic illnesses ; Cytokines ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus, Type 2 - metabolism ; Diabetes Mellitus, Type 2 - physiopathology ; Disease control ; Female ; Glycated Hemoglobin A - metabolism ; Health care ; Health risks ; Hemoglobin ; Humans ; Inflammation ; Inflammation - metabolism ; Inflammation - pathology ; Insulin resistance ; Interleukin ; Interleukin 6 ; Interleukin-6 - metabolism ; Leptin ; Leptin - metabolism ; Lifestyles ; Male ; Markers ; Medical research ; Medicine ; Metabolism ; Middle Aged ; Motor Activity - physiology ; Musculoskeletal system ; Obesity ; Pathogenesis ; Physical activity ; Primary care ; Proteins ; Quality ; Risk Factors ; Risk taking ; Sedentary behavior ; Sedentary Lifestyle ; Sensitivity analysis ; Studies</subject><ispartof>PloS one, 2013-10, Vol.8 (10), p.e78350-e78350</ispartof><rights>2013 Henson et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://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>2013 Henson et al 2013 Henson et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c592t-5a3f0214546d8eb1f500bf32b2ec2ef01be2b2ebba832cebb7b67dc3d84d86923</citedby><cites>FETCH-LOGICAL-c592t-5a3f0214546d8eb1f500bf32b2ec2ef01be2b2ebba832cebb7b67dc3d84d86923</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3812126/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3812126/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24205208$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Uversky, Vladimir N.</contributor><creatorcontrib>Henson, Joseph</creatorcontrib><creatorcontrib>Yates, Thomas</creatorcontrib><creatorcontrib>Edwardson, Charlotte L</creatorcontrib><creatorcontrib>Khunti, Kamlesh</creatorcontrib><creatorcontrib>Talbot, Duncan</creatorcontrib><creatorcontrib>Gray, Laura J</creatorcontrib><creatorcontrib>Leigh, Thomas M</creatorcontrib><creatorcontrib>Carter, Patrice</creatorcontrib><creatorcontrib>Davies, Melanie J</creatorcontrib><title>Sedentary time and markers of chronic low-grade inflammation in a high risk population</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Sedentary behaviour has been identified as a distinct risk factor for several health outcomes. Nevertheless, little research has been conducted into the underlying mechanisms driving these observations. This study aimed to investigate the association of objectively measured sedentary time and breaks in sedentary time with markers of chronic low-grade inflammation and adiposity in a population at a high risk of type 2 diabetes mellitus. This study reports data from an ongoing diabetes prevention programme conducted in Leicestershire, UK. High risk individuals were recruited from 10 primary care practices. Sedentary time (&lt;25 counts per 15 s) was measured using Actigraph GT3X accelerometers (15 s epochs). A break was considered as any interruption in sedentary time (≥25 counts per 15 s). Biochemical outcomes included interleukin-6 (IL-6), C-reactive protein (CRP), leptin, adiponectin and leptin:adiponectin ratio (LAR). A sensitivity analysis investigated whether results were affected by removing participants with a CRP level &gt;10 mg/L, as this can be indicative of acute inflammation. 558 participants (age = 63.6±7.7 years; male = 64.7%) had complete adipokine and accelerometer data. Following adjustment for various confounders, sedentary time was detrimentally associated with CRP (β = 0.176±0.057, p = 0.002), IL-6 (β = 0.242±0.056, p = &lt;0.001), leptin (β = 0.146±0.043, p = &lt;0.001) and LAR (β = 0.208±0.052, p = &lt;0.001). Associations were attenuated after further adjustment for moderate-to-vigorous physical activity (MVPA) with only IL-6 (β = 0.231±0.073, p = 0.002) remaining significant; this result was unaffected after further adjustment for body mass index and glycosylated haemoglobin (HbA1c). Similarly, breaks in sedentary time were significantly inversely associated with IL-6 (β = -0.094±0.047, p = 0.045) and leptin (β = -0.075±0.037, p = 0.039); however, these associations were attenuated after adjustment for accelerometer derived variables. Excluding individuals with a CRP level &gt;10 mg/L consistently attenuated the significant associations across all markers of inflammation. These novel findings from a high risk population recruited through primary care suggest that sedentary behaviour may influence markers associated with inflammation, independent of MVPA, glycaemia and adiposity.</description><subject>Accelerometers</subject><subject>Adiponectin</subject><subject>Adiponectin - metabolism</subject><subject>Adipose tissue</subject><subject>Adiposity - physiology</subject><subject>Adjustment</subject><subject>Attenuation</subject><subject>Automation</subject><subject>Biomarkers - metabolism</subject><subject>Biomedical research</subject><subject>Blood glucose</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>C-reactive protein</subject><subject>C-Reactive Protein - metabolism</subject><subject>Cardiovascular disease</subject><subject>Chronic illnesses</subject><subject>Cytokines</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus, Type 2 - metabolism</subject><subject>Diabetes Mellitus, Type 2 - physiopathology</subject><subject>Disease control</subject><subject>Female</subject><subject>Glycated Hemoglobin A - metabolism</subject><subject>Health care</subject><subject>Health risks</subject><subject>Hemoglobin</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Inflammation - metabolism</subject><subject>Inflammation - pathology</subject><subject>Insulin resistance</subject><subject>Interleukin</subject><subject>Interleukin 6</subject><subject>Interleukin-6 - metabolism</subject><subject>Leptin</subject><subject>Leptin - metabolism</subject><subject>Lifestyles</subject><subject>Male</subject><subject>Markers</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Motor Activity - physiology</subject><subject>Musculoskeletal system</subject><subject>Obesity</subject><subject>Pathogenesis</subject><subject>Physical activity</subject><subject>Primary care</subject><subject>Proteins</subject><subject>Quality</subject><subject>Risk Factors</subject><subject>Risk taking</subject><subject>Sedentary behavior</subject><subject>Sedentary Lifestyle</subject><subject>Sensitivity analysis</subject><subject>Studies</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNptUstu1TAQjRCIlsIfILDEhk0ufsSPbJBQxaNSJRY8ttbEmdzrWycOdi6of0_Sm1YtYjVjz5kzZ0anKF4yumFCs3f7eEgDhM0YB9xQqo2Q9FFxymrBS8WpeHwvPyme5bynVAqj1NPihFecSk7NafHzG7Y4TJCuyeR7JDC0pId0hSmT2BG3S3HwjoT4p9wmaJH4oQvQ9zD5OMwPAmTntzuSfL4iYxwP4abyvHjSQcj4Yo1nxY9PH7-ffykvv36-OP9wWTpZ86mUIDrKWSUr1RpsWCcpbTrBG46OY0dZg0veNGAEd3PUjdKtE62pWqNqLs6K10feMcRs15Nky2otNeNU1zPi4ohoI-ztmPy83bWN4O3NR0xbC2nyLqCV0DHDgSpUptLOga5RMu6qBgWXcuF6v047ND22bj5cgvCA9GFl8Du7jb-tMIwzrmaCtytBir8OmCfb--wwBBgwHmbdVVVrNUtfZr35B_r_7aojyqWYc8LuTgyjdrHJbZddbGJXm8xtr-4vctd06wvxF1NWvDQ</recordid><startdate>20131029</startdate><enddate>20131029</enddate><creator>Henson, Joseph</creator><creator>Yates, Thomas</creator><creator>Edwardson, Charlotte L</creator><creator>Khunti, Kamlesh</creator><creator>Talbot, Duncan</creator><creator>Gray, Laura J</creator><creator>Leigh, Thomas M</creator><creator>Carter, Patrice</creator><creator>Davies, Melanie J</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20131029</creationdate><title>Sedentary time and markers of chronic low-grade inflammation in a high risk population</title><author>Henson, Joseph ; Yates, Thomas ; Edwardson, Charlotte L ; Khunti, Kamlesh ; Talbot, Duncan ; Gray, Laura J ; Leigh, Thomas M ; Carter, Patrice ; Davies, Melanie J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c592t-5a3f0214546d8eb1f500bf32b2ec2ef01be2b2ebba832cebb7b67dc3d84d86923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Accelerometers</topic><topic>Adiponectin</topic><topic>Adiponectin - metabolism</topic><topic>Adipose tissue</topic><topic>Adiposity - physiology</topic><topic>Adjustment</topic><topic>Attenuation</topic><topic>Automation</topic><topic>Biomarkers - metabolism</topic><topic>Biomedical research</topic><topic>Blood glucose</topic><topic>Body mass</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>C-reactive protein</topic><topic>C-Reactive Protein - metabolism</topic><topic>Cardiovascular disease</topic><topic>Chronic illnesses</topic><topic>Cytokines</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus, Type 2 - metabolism</topic><topic>Diabetes Mellitus, Type 2 - physiopathology</topic><topic>Disease control</topic><topic>Female</topic><topic>Glycated Hemoglobin A - metabolism</topic><topic>Health care</topic><topic>Health risks</topic><topic>Hemoglobin</topic><topic>Humans</topic><topic>Inflammation</topic><topic>Inflammation - metabolism</topic><topic>Inflammation - pathology</topic><topic>Insulin resistance</topic><topic>Interleukin</topic><topic>Interleukin 6</topic><topic>Interleukin-6 - metabolism</topic><topic>Leptin</topic><topic>Leptin - metabolism</topic><topic>Lifestyles</topic><topic>Male</topic><topic>Markers</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Motor Activity - physiology</topic><topic>Musculoskeletal system</topic><topic>Obesity</topic><topic>Pathogenesis</topic><topic>Physical activity</topic><topic>Primary care</topic><topic>Proteins</topic><topic>Quality</topic><topic>Risk Factors</topic><topic>Risk taking</topic><topic>Sedentary behavior</topic><topic>Sedentary Lifestyle</topic><topic>Sensitivity analysis</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Henson, Joseph</creatorcontrib><creatorcontrib>Yates, Thomas</creatorcontrib><creatorcontrib>Edwardson, Charlotte L</creatorcontrib><creatorcontrib>Khunti, Kamlesh</creatorcontrib><creatorcontrib>Talbot, Duncan</creatorcontrib><creatorcontrib>Gray, Laura J</creatorcontrib><creatorcontrib>Leigh, Thomas M</creatorcontrib><creatorcontrib>Carter, Patrice</creatorcontrib><creatorcontrib>Davies, Melanie J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Proquest Nursing &amp; Allied Health Source</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (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>Henson, Joseph</au><au>Yates, Thomas</au><au>Edwardson, Charlotte L</au><au>Khunti, Kamlesh</au><au>Talbot, Duncan</au><au>Gray, Laura J</au><au>Leigh, Thomas M</au><au>Carter, Patrice</au><au>Davies, Melanie J</au><au>Uversky, Vladimir N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sedentary time and markers of chronic low-grade inflammation in a high risk population</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-10-29</date><risdate>2013</risdate><volume>8</volume><issue>10</issue><spage>e78350</spage><epage>e78350</epage><pages>e78350-e78350</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Sedentary behaviour has been identified as a distinct risk factor for several health outcomes. Nevertheless, little research has been conducted into the underlying mechanisms driving these observations. This study aimed to investigate the association of objectively measured sedentary time and breaks in sedentary time with markers of chronic low-grade inflammation and adiposity in a population at a high risk of type 2 diabetes mellitus. This study reports data from an ongoing diabetes prevention programme conducted in Leicestershire, UK. High risk individuals were recruited from 10 primary care practices. Sedentary time (&lt;25 counts per 15 s) was measured using Actigraph GT3X accelerometers (15 s epochs). A break was considered as any interruption in sedentary time (≥25 counts per 15 s). Biochemical outcomes included interleukin-6 (IL-6), C-reactive protein (CRP), leptin, adiponectin and leptin:adiponectin ratio (LAR). A sensitivity analysis investigated whether results were affected by removing participants with a CRP level &gt;10 mg/L, as this can be indicative of acute inflammation. 558 participants (age = 63.6±7.7 years; male = 64.7%) had complete adipokine and accelerometer data. Following adjustment for various confounders, sedentary time was detrimentally associated with CRP (β = 0.176±0.057, p = 0.002), IL-6 (β = 0.242±0.056, p = &lt;0.001), leptin (β = 0.146±0.043, p = &lt;0.001) and LAR (β = 0.208±0.052, p = &lt;0.001). Associations were attenuated after further adjustment for moderate-to-vigorous physical activity (MVPA) with only IL-6 (β = 0.231±0.073, p = 0.002) remaining significant; this result was unaffected after further adjustment for body mass index and glycosylated haemoglobin (HbA1c). Similarly, breaks in sedentary time were significantly inversely associated with IL-6 (β = -0.094±0.047, p = 0.045) and leptin (β = -0.075±0.037, p = 0.039); however, these associations were attenuated after adjustment for accelerometer derived variables. Excluding individuals with a CRP level &gt;10 mg/L consistently attenuated the significant associations across all markers of inflammation. These novel findings from a high risk population recruited through primary care suggest that sedentary behaviour may influence markers associated with inflammation, independent of MVPA, glycaemia and adiposity.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24205208</pmid><doi>10.1371/journal.pone.0078350</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2013-10, Vol.8 (10), p.e78350-e78350
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_1975712079
source Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry
subjects Accelerometers
Adiponectin
Adiponectin - metabolism
Adipose tissue
Adiposity - physiology
Adjustment
Attenuation
Automation
Biomarkers - metabolism
Biomedical research
Blood glucose
Body mass
Body Mass Index
Body size
C-reactive protein
C-Reactive Protein - metabolism
Cardiovascular disease
Chronic illnesses
Cytokines
Diabetes
Diabetes mellitus
Diabetes Mellitus, Type 2 - metabolism
Diabetes Mellitus, Type 2 - physiopathology
Disease control
Female
Glycated Hemoglobin A - metabolism
Health care
Health risks
Hemoglobin
Humans
Inflammation
Inflammation - metabolism
Inflammation - pathology
Insulin resistance
Interleukin
Interleukin 6
Interleukin-6 - metabolism
Leptin
Leptin - metabolism
Lifestyles
Male
Markers
Medical research
Medicine
Metabolism
Middle Aged
Motor Activity - physiology
Musculoskeletal system
Obesity
Pathogenesis
Physical activity
Primary care
Proteins
Quality
Risk Factors
Risk taking
Sedentary behavior
Sedentary Lifestyle
Sensitivity analysis
Studies
title Sedentary time and markers of chronic low-grade inflammation in a high risk population
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T16%3A01%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Sedentary%20time%20and%20markers%20of%20chronic%20low-grade%20inflammation%20in%20a%20high%20risk%20population&rft.jtitle=PloS%20one&rft.au=Henson,%20Joseph&rft.date=2013-10-29&rft.volume=8&rft.issue=10&rft.spage=e78350&rft.epage=e78350&rft.pages=e78350-e78350&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0078350&rft_dat=%3Cproquest_plos_%3E1975712079%3C/proquest_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1975712079&rft_id=info:pmid/24205208&rft_doaj_id=oai_doaj_org_article_5af182a06e6847cca79e512c4be32559&rfr_iscdi=true