Leisure-time physical activity, sedentary behaviors, sleep, and cardiometabolic risk factors at baseline in the PREDIMED-PLUS intervention trial: A cross-sectional analysis
Limited data exists on the interrelationships between physical activity (PA), sedentary behaviors and sleep concerning cardiometabolic risk factors in aged adults at high cardiovascular disease risk. Our aim was to examine independent and joint associations between time spent in leisure-time PA, sed...
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| creator | Rosique-Esteban, Nuria Díaz-López, Andrés Martínez-González, Miguel A Corella, Dolores Goday, Albert Martínez, J Alfredo Romaguera, Dora Vioque, Jesus Arós, Fernando Garcia-Rios, Antonio Tinahones, Francisco Estruch, Ramon Fernández-García, José Carlos Lapetra, José Serra-Majem, Luís Pinto, Xavier Tur, Josep A Bueno-Cavanillas, Aurora Vidal, Josep Delgado-Rodríguez, Miguel Daimiel, Lidia Vázquez, Clotilde Rubio, Miguel Ángel Ros, Emilio Salas-Salvadó, Jordi |
| description | Limited data exists on the interrelationships between physical activity (PA), sedentary behaviors and sleep concerning cardiometabolic risk factors in aged adults at high cardiovascular disease risk. Our aim was to examine independent and joint associations between time spent in leisure-time PA, sedentary behaviors and sleep on the prevalence of obesity, type 2 diabetes (T2D) and components of the metabolic syndrome (MetS) in Mediterranean individuals at high cardiovascular risk. Cross-sectional analyses were performed on baseline data from 5776 Spanish adults (aged 55-75y in men; 60-75y in women) with overweight/obesity and MetS, from October 2013 to October 2016, in the PREDIMED-PLUS trial. Employing multivariable-adjusted Cox regression with robust variance and constant time (given the cross-sectional design), higher prevalence of obesity, T2D and abdominal obesity as component of the MetS were associated with greater time in TV-viewing (Relative Risk, RR: 1.02, 95%CI: 1.01, 1.03; RR:1.04, 95%CI: 1.02, 1.06 and RR: 1.01 95%CI: 1.00, 1.02; respectively, all P < .01). Conversely, greater time in moderate-vigorous PA (MVPA) was associated with lower prevalence of obesity, T2D, abdominal obesity and low HDL-cholesterol (RR: 0.95, 95%CI: 0.93, 0.97; RR: 0.94, 95%CI: 0.89, 0.99; RR: 0.97, 95%CI: 0.96, 0.98; and RR: 0.95, 95%CI: 0.91, 0.99, respectively, all P < .05). For these outcomes, theoretically substituting 1-h/day of MVPA for 1-h/day TV-viewing was also significantly associated with lower prevalence (RR 0.91 to 0.97, all P < .05). Similar lower RR in these outcomes was observed when substituting 1-h/day of MVPA for 1-h/day of sleeping. Longer time watching TV and not meeting MVPA recommendations were jointly associated with higher RR of the prevalence of obesity and T2D. We concluded that, in senior individuals at high cardiovascular risk, greater time spent on MVPA and fewer on sedentary behaviors was inversely associated with prevalence of obesity, T2D, and some of the components of MetS. |
| doi_str_mv | 10.1371/journal.pone.0172253 |
| format | Article |
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Our aim was to examine independent and joint associations between time spent in leisure-time PA, sedentary behaviors and sleep on the prevalence of obesity, type 2 diabetes (T2D) and components of the metabolic syndrome (MetS) in Mediterranean individuals at high cardiovascular risk. Cross-sectional analyses were performed on baseline data from 5776 Spanish adults (aged 55-75y in men; 60-75y in women) with overweight/obesity and MetS, from October 2013 to October 2016, in the PREDIMED-PLUS trial. Employing multivariable-adjusted Cox regression with robust variance and constant time (given the cross-sectional design), higher prevalence of obesity, T2D and abdominal obesity as component of the MetS were associated with greater time in TV-viewing (Relative Risk, RR: 1.02, 95%CI: 1.01, 1.03; RR:1.04, 95%CI: 1.02, 1.06 and RR: 1.01 95%CI: 1.00, 1.02; respectively, all P < .01). Conversely, greater time in moderate-vigorous PA (MVPA) was associated with lower prevalence of obesity, T2D, abdominal obesity and low HDL-cholesterol (RR: 0.95, 95%CI: 0.93, 0.97; RR: 0.94, 95%CI: 0.89, 0.99; RR: 0.97, 95%CI: 0.96, 0.98; and RR: 0.95, 95%CI: 0.91, 0.99, respectively, all P < .05). For these outcomes, theoretically substituting 1-h/day of MVPA for 1-h/day TV-viewing was also significantly associated with lower prevalence (RR 0.91 to 0.97, all P < .05). Similar lower RR in these outcomes was observed when substituting 1-h/day of MVPA for 1-h/day of sleeping. Longer time watching TV and not meeting MVPA recommendations were jointly associated with higher RR of the prevalence of obesity and T2D. We concluded that, in senior individuals at high cardiovascular risk, greater time spent on MVPA and fewer on sedentary behaviors was inversely associated with prevalence of obesity, T2D, and some of the components of MetS.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0172253</identifier><identifier>PMID: 28273154</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adults ; Aged ; Analysis ; Biochemistry ; Biology and Life Sciences ; Biomarkers ; Biomedical research ; Biotechnology ; Body weight ; Cardiovascular disease ; Cardiovascular diseases ; Cardiovascular Diseases - complications ; Cholesterol ; Clinical trials ; Cross-Sectional Studies ; Data processing ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - epidemiology ; Diabetes Mellitus, Type 2 - etiology ; Diabetis no-insulinodependent ; Disease prevention ; Endocrinology ; Epidemiologia ; Epidemiology ; Etiologia ; Etiology ; Exercise ; Factors de risc en les malalties ; Female ; Health behavior ; Health care ; Health risks ; Health sciences ; High density lipoprotein ; Hospitals ; Humans ; Hàbits sanitaris ; Internal medicine ; Internet ; Lipids ; Male ; Medical research ; Medicine and Health Sciences ; Metabolic disorders ; Metabolic syndrome ; Metabolic Syndrome - epidemiology ; Metabolic Syndrome - etiology ; Metabolism ; Middle Aged ; Non-insulin-dependent diabetes ; Nutrition research ; Obesity ; Odds Ratio ; Overweight ; Physical activity ; Physical fitness ; Prevalence ; Preventive medicine ; Public health ; Regression analysis ; Risk analysis ; Risk Factors ; Risk factors in diseases ; Risk taking ; Robustness (mathematics) ; Sedentary Behavior ; Sleep ; Son ; Spain - epidemiology ; Systematic review ; Síndrome metabòlica ; Type 2 diabetes ; Viewing</subject><ispartof>PloS one, 2017-03, Vol.12 (3), p.e0172253-e0172253</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Rosique-Esteban 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>cc-by (c) Rosique-Esteban, Nuria et al., 2017 info:eu-repo/semantics/openAccess <a href="http://creativecommons.org/licenses/by/3.0/es">http://creativecommons.org/licenses/by/3.0/es</a></rights><rights>2017 Rosique-Esteban et al 2017 Rosique-Esteban et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c767t-5f77b20213cb20cdfcff535d5f02219f817c7aa204d6fde499cc4bae63ec47d43</citedby><cites>FETCH-LOGICAL-c767t-5f77b20213cb20cdfcff535d5f02219f817c7aa204d6fde499cc4bae63ec47d43</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/PMC5342184/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342184/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,26951,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28273154$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rosique-Esteban, Nuria</creatorcontrib><creatorcontrib>Díaz-López, Andrés</creatorcontrib><creatorcontrib>Martínez-González, Miguel A</creatorcontrib><creatorcontrib>Corella, Dolores</creatorcontrib><creatorcontrib>Goday, Albert</creatorcontrib><creatorcontrib>Martínez, J Alfredo</creatorcontrib><creatorcontrib>Romaguera, Dora</creatorcontrib><creatorcontrib>Vioque, Jesus</creatorcontrib><creatorcontrib>Arós, Fernando</creatorcontrib><creatorcontrib>Garcia-Rios, Antonio</creatorcontrib><creatorcontrib>Tinahones, Francisco</creatorcontrib><creatorcontrib>Estruch, Ramon</creatorcontrib><creatorcontrib>Fernández-García, José Carlos</creatorcontrib><creatorcontrib>Lapetra, José</creatorcontrib><creatorcontrib>Serra-Majem, Luís</creatorcontrib><creatorcontrib>Pinto, Xavier</creatorcontrib><creatorcontrib>Tur, Josep A</creatorcontrib><creatorcontrib>Bueno-Cavanillas, Aurora</creatorcontrib><creatorcontrib>Vidal, Josep</creatorcontrib><creatorcontrib>Delgado-Rodríguez, Miguel</creatorcontrib><creatorcontrib>Daimiel, Lidia</creatorcontrib><creatorcontrib>Vázquez, Clotilde</creatorcontrib><creatorcontrib>Rubio, Miguel Ángel</creatorcontrib><creatorcontrib>Ros, Emilio</creatorcontrib><creatorcontrib>Salas-Salvadó, Jordi</creatorcontrib><creatorcontrib>PREDIMED-PLUS investigators</creatorcontrib><title>Leisure-time physical activity, sedentary behaviors, sleep, and cardiometabolic risk factors at baseline in the PREDIMED-PLUS intervention trial: A cross-sectional analysis</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Limited data exists on the interrelationships between physical activity (PA), sedentary behaviors and sleep concerning cardiometabolic risk factors in aged adults at high cardiovascular disease risk. Our aim was to examine independent and joint associations between time spent in leisure-time PA, sedentary behaviors and sleep on the prevalence of obesity, type 2 diabetes (T2D) and components of the metabolic syndrome (MetS) in Mediterranean individuals at high cardiovascular risk. Cross-sectional analyses were performed on baseline data from 5776 Spanish adults (aged 55-75y in men; 60-75y in women) with overweight/obesity and MetS, from October 2013 to October 2016, in the PREDIMED-PLUS trial. Employing multivariable-adjusted Cox regression with robust variance and constant time (given the cross-sectional design), higher prevalence of obesity, T2D and abdominal obesity as component of the MetS were associated with greater time in TV-viewing (Relative Risk, RR: 1.02, 95%CI: 1.01, 1.03; RR:1.04, 95%CI: 1.02, 1.06 and RR: 1.01 95%CI: 1.00, 1.02; respectively, all P < .01). Conversely, greater time in moderate-vigorous PA (MVPA) was associated with lower prevalence of obesity, T2D, abdominal obesity and low HDL-cholesterol (RR: 0.95, 95%CI: 0.93, 0.97; RR: 0.94, 95%CI: 0.89, 0.99; RR: 0.97, 95%CI: 0.96, 0.98; and RR: 0.95, 95%CI: 0.91, 0.99, respectively, all P < .05). For these outcomes, theoretically substituting 1-h/day of MVPA for 1-h/day TV-viewing was also significantly associated with lower prevalence (RR 0.91 to 0.97, all P < .05). Similar lower RR in these outcomes was observed when substituting 1-h/day of MVPA for 1-h/day of sleeping. Longer time watching TV and not meeting MVPA recommendations were jointly associated with higher RR of the prevalence of obesity and T2D. We concluded that, in senior individuals at high cardiovascular risk, greater time spent on MVPA and fewer on sedentary behaviors was inversely associated with prevalence of obesity, T2D, and some of the components of MetS.</description><subject>Adults</subject><subject>Aged</subject><subject>Analysis</subject><subject>Biochemistry</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Biomedical research</subject><subject>Biotechnology</subject><subject>Body weight</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular Diseases - complications</subject><subject>Cholesterol</subject><subject>Clinical trials</subject><subject>Cross-Sectional Studies</subject><subject>Data processing</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>Diabetes Mellitus, Type 2 - etiology</subject><subject>Diabetis no-insulinodependent</subject><subject>Disease prevention</subject><subject>Endocrinology</subject><subject>Epidemiologia</subject><subject>Epidemiology</subject><subject>Etiologia</subject><subject>Etiology</subject><subject>Exercise</subject><subject>Factors de risc en les malalties</subject><subject>Female</subject><subject>Health behavior</subject><subject>Health care</subject><subject>Health risks</subject><subject>Health sciences</subject><subject>High density lipoprotein</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hàbits sanitaris</subject><subject>Internal medicine</subject><subject>Internet</subject><subject>Lipids</subject><subject>Male</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>Metabolic Syndrome - epidemiology</subject><subject>Metabolic Syndrome - etiology</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Non-insulin-dependent diabetes</subject><subject>Nutrition research</subject><subject>Obesity</subject><subject>Odds Ratio</subject><subject>Overweight</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Prevalence</subject><subject>Preventive medicine</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Risk factors in diseases</subject><subject>Risk taking</subject><subject>Robustness (mathematics)</subject><subject>Sedentary Behavior</subject><subject>Sleep</subject><subject>Son</subject><subject>Spain - epidemiology</subject><subject>Systematic review</subject><subject>Síndrome metabòlica</subject><subject>Type 2 diabetes</subject><subject>Viewing</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>XX2</sourceid><sourceid>DOA</sourceid><recordid>eNqNk91u0zAUgCMEYjB4AwSWkBBIS4n_4oQLpGkbUKlo08a4tRznuPVI42I7FXsnHhJn66YV7WKKEjvH3znH5y_LXuFigqnAHy_c4HvVTVauh0mBBSGcPsqe4ZqSvCQFfXxnv5M9D-GiKDityvJptkMqIijm7Fn2dwY2DB7yaJeAVovLYLXqkNLRrm283EMBWuij8peogYVaW-dDEnYAqz2k-hZp5VvrlhBV4zqrkbfhFzJJP4FIRdSoAJ3tAdkexQWgk9Ojw-n3o8P8ZHZ-loQR_Do5sC4de6u6T2gfae9CyAPoUTzeJn3SxcKL7IlRXYCXm3U3O_9y9OPgWz47_jo92J_lWpQi5twI0ZCCYKrTolujjeGUt9wUhODaVFhooRQpWFuaFlhda80aBSUFzUTL6G725truqnNBbhIdJK4Ep6JirEjE9JponbqQK2-XKUPSKSuvBM7PpfLR6g5kqUoihCkbY0pWUqOYqApVNwCcKINxsvV5421oltDqlA2vui2j2ye9Xci5W0tOGcHVeF18bUCHQUsPGrxW8Urx9md8SSGIpBzzcgzg_capd78HCFEubdDQdaoHN4yxVpQLUjP8EBSLFCOtEvr2P_T-5G2ouUr5sb1xKSw9GpX7rGKcC1HzRE3uodLTwtLq1PTGJvmWwocthcRE-BPnaghBTs9OH84e_9xm391hF6C6uAiuG8bmDNsg29Rh7F8P5raGuJDjzN5kQ44zKzczm9Re363_rdLNkNJ_l8I-fw</recordid><startdate>20170308</startdate><enddate>20170308</enddate><creator>Rosique-Esteban, 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physical activity, sedentary behaviors, sleep, and cardiometabolic risk factors at baseline in the PREDIMED-PLUS intervention trial: A cross-sectional analysis</title><author>Rosique-Esteban, Nuria ; Díaz-López, Andrés ; Martínez-González, Miguel A ; Corella, Dolores ; Goday, Albert ; Martínez, J Alfredo ; Romaguera, Dora ; Vioque, Jesus ; Arós, Fernando ; Garcia-Rios, Antonio ; Tinahones, Francisco ; Estruch, Ramon ; Fernández-García, José Carlos ; Lapetra, José ; Serra-Majem, Luís ; Pinto, Xavier ; Tur, Josep A ; Bueno-Cavanillas, Aurora ; Vidal, Josep ; Delgado-Rodríguez, Miguel ; Daimiel, Lidia ; Vázquez, Clotilde ; Rubio, Miguel Ángel ; Ros, Emilio ; Salas-Salvadó, Jordi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c767t-5f77b20213cb20cdfcff535d5f02219f817c7aa204d6fde499cc4bae63ec47d43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adults</topic><topic>Aged</topic><topic>Analysis</topic><topic>Biochemistry</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Biomedical research</topic><topic>Biotechnology</topic><topic>Body weight</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Cardiovascular Diseases - complications</topic><topic>Cholesterol</topic><topic>Clinical trials</topic><topic>Cross-Sectional Studies</topic><topic>Data processing</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diabetes Mellitus, Type 2 - epidemiology</topic><topic>Diabetes Mellitus, Type 2 - etiology</topic><topic>Diabetis no-insulinodependent</topic><topic>Disease prevention</topic><topic>Endocrinology</topic><topic>Epidemiologia</topic><topic>Epidemiology</topic><topic>Etiologia</topic><topic>Etiology</topic><topic>Exercise</topic><topic>Factors de risc en les malalties</topic><topic>Female</topic><topic>Health behavior</topic><topic>Health care</topic><topic>Health risks</topic><topic>Health sciences</topic><topic>High density lipoprotein</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hàbits sanitaris</topic><topic>Internal medicine</topic><topic>Internet</topic><topic>Lipids</topic><topic>Male</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Metabolic Syndrome - epidemiology</topic><topic>Metabolic Syndrome - etiology</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Non-insulin-dependent diabetes</topic><topic>Nutrition research</topic><topic>Obesity</topic><topic>Odds Ratio</topic><topic>Overweight</topic><topic>Physical activity</topic><topic>Physical fitness</topic><topic>Prevalence</topic><topic>Preventive medicine</topic><topic>Public health</topic><topic>Regression analysis</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Risk factors in diseases</topic><topic>Risk taking</topic><topic>Robustness (mathematics)</topic><topic>Sedentary Behavior</topic><topic>Sleep</topic><topic>Son</topic><topic>Spain - epidemiology</topic><topic>Systematic review</topic><topic>Síndrome metabòlica</topic><topic>Type 2 diabetes</topic><topic>Viewing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rosique-Esteban, Nuria</creatorcontrib><creatorcontrib>Díaz-López, Andrés</creatorcontrib><creatorcontrib>Martínez-González, Miguel A</creatorcontrib><creatorcontrib>Corella, Dolores</creatorcontrib><creatorcontrib>Goday, Albert</creatorcontrib><creatorcontrib>Martínez, J Alfredo</creatorcontrib><creatorcontrib>Romaguera, Dora</creatorcontrib><creatorcontrib>Vioque, Jesus</creatorcontrib><creatorcontrib>Arós, Fernando</creatorcontrib><creatorcontrib>Garcia-Rios, Antonio</creatorcontrib><creatorcontrib>Tinahones, Francisco</creatorcontrib><creatorcontrib>Estruch, Ramon</creatorcontrib><creatorcontrib>Fernández-García, José Carlos</creatorcontrib><creatorcontrib>Lapetra, José</creatorcontrib><creatorcontrib>Serra-Majem, Luís</creatorcontrib><creatorcontrib>Pinto, Xavier</creatorcontrib><creatorcontrib>Tur, Josep A</creatorcontrib><creatorcontrib>Bueno-Cavanillas, Aurora</creatorcontrib><creatorcontrib>Vidal, Josep</creatorcontrib><creatorcontrib>Delgado-Rodríguez, Miguel</creatorcontrib><creatorcontrib>Daimiel, Lidia</creatorcontrib><creatorcontrib>Vázquez, Clotilde</creatorcontrib><creatorcontrib>Rubio, Miguel Ángel</creatorcontrib><creatorcontrib>Ros, Emilio</creatorcontrib><creatorcontrib>Salas-Salvadó, Jordi</creatorcontrib><creatorcontrib>PREDIMED-PLUS investigators</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & 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 & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & 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 & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & 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 & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & 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>Recercat</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>Rosique-Esteban, Nuria</au><au>Díaz-López, Andrés</au><au>Martínez-González, Miguel A</au><au>Corella, Dolores</au><au>Goday, Albert</au><au>Martínez, J Alfredo</au><au>Romaguera, Dora</au><au>Vioque, Jesus</au><au>Arós, Fernando</au><au>Garcia-Rios, Antonio</au><au>Tinahones, Francisco</au><au>Estruch, Ramon</au><au>Fernández-García, José Carlos</au><au>Lapetra, José</au><au>Serra-Majem, Luís</au><au>Pinto, Xavier</au><au>Tur, Josep A</au><au>Bueno-Cavanillas, Aurora</au><au>Vidal, Josep</au><au>Delgado-Rodríguez, Miguel</au><au>Daimiel, Lidia</au><au>Vázquez, Clotilde</au><au>Rubio, Miguel Ángel</au><au>Ros, Emilio</au><au>Salas-Salvadó, Jordi</au><aucorp>PREDIMED-PLUS investigators</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Leisure-time physical activity, sedentary behaviors, sleep, and cardiometabolic risk factors at baseline in the PREDIMED-PLUS intervention trial: A cross-sectional analysis</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-03-08</date><risdate>2017</risdate><volume>12</volume><issue>3</issue><spage>e0172253</spage><epage>e0172253</epage><pages>e0172253-e0172253</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Limited data exists on the interrelationships between physical activity (PA), sedentary behaviors and sleep concerning cardiometabolic risk factors in aged adults at high cardiovascular disease risk. Our aim was to examine independent and joint associations between time spent in leisure-time PA, sedentary behaviors and sleep on the prevalence of obesity, type 2 diabetes (T2D) and components of the metabolic syndrome (MetS) in Mediterranean individuals at high cardiovascular risk. Cross-sectional analyses were performed on baseline data from 5776 Spanish adults (aged 55-75y in men; 60-75y in women) with overweight/obesity and MetS, from October 2013 to October 2016, in the PREDIMED-PLUS trial. Employing multivariable-adjusted Cox regression with robust variance and constant time (given the cross-sectional design), higher prevalence of obesity, T2D and abdominal obesity as component of the MetS were associated with greater time in TV-viewing (Relative Risk, RR: 1.02, 95%CI: 1.01, 1.03; RR:1.04, 95%CI: 1.02, 1.06 and RR: 1.01 95%CI: 1.00, 1.02; respectively, all P < .01). Conversely, greater time in moderate-vigorous PA (MVPA) was associated with lower prevalence of obesity, T2D, abdominal obesity and low HDL-cholesterol (RR: 0.95, 95%CI: 0.93, 0.97; RR: 0.94, 95%CI: 0.89, 0.99; RR: 0.97, 95%CI: 0.96, 0.98; and RR: 0.95, 95%CI: 0.91, 0.99, respectively, all P < .05). For these outcomes, theoretically substituting 1-h/day of MVPA for 1-h/day TV-viewing was also significantly associated with lower prevalence (RR 0.91 to 0.97, all P < .05). Similar lower RR in these outcomes was observed when substituting 1-h/day of MVPA for 1-h/day of sleeping. Longer time watching TV and not meeting MVPA recommendations were jointly associated with higher RR of the prevalence of obesity and T2D. We concluded that, in senior individuals at high cardiovascular risk, greater time spent on MVPA and fewer on sedentary behaviors was inversely associated with prevalence of obesity, T2D, and some of the components of MetS.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28273154</pmid><doi>10.1371/journal.pone.0172253</doi><tpages>e0172253</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2017-03, Vol.12 (3), p.e0172253-e0172253 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1875378440 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Recercat; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Adults Aged Analysis Biochemistry Biology and Life Sciences Biomarkers Biomedical research Biotechnology Body weight Cardiovascular disease Cardiovascular diseases Cardiovascular Diseases - complications Cholesterol Clinical trials Cross-Sectional Studies Data processing Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - epidemiology Diabetes Mellitus, Type 2 - etiology Diabetis no-insulinodependent Disease prevention Endocrinology Epidemiologia Epidemiology Etiologia Etiology Exercise Factors de risc en les malalties Female Health behavior Health care Health risks Health sciences High density lipoprotein Hospitals Humans Hàbits sanitaris Internal medicine Internet Lipids Male Medical research Medicine and Health Sciences Metabolic disorders Metabolic syndrome Metabolic Syndrome - epidemiology Metabolic Syndrome - etiology Metabolism Middle Aged Non-insulin-dependent diabetes Nutrition research Obesity Odds Ratio Overweight Physical activity Physical fitness Prevalence Preventive medicine Public health Regression analysis Risk analysis Risk Factors Risk factors in diseases Risk taking Robustness (mathematics) Sedentary Behavior Sleep Son Spain - epidemiology Systematic review Síndrome metabòlica Type 2 diabetes Viewing |
| title | Leisure-time physical activity, sedentary behaviors, sleep, and cardiometabolic risk factors at baseline in the PREDIMED-PLUS intervention trial: A cross-sectional analysis |
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