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Objectively Measured Physical Activity and Sedentary Time Are Associated With Cardiometabolic Risk Factors in Adults With Prediabetes: The PREVIEW Study / Jeffrey, Stephens; Melitta, McNarry; Gareth, Stratton; Kelly, Mackintosh

Diabetes Care, Volume: 41, Issue: 3, Pages: 562 - 569

Swansesa University Authors: Jeffrey, Stephens, Melitta, McNarry, Gareth, Stratton, Kelly, Mackintosh

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DOI (Published version): 10.2337/dc17-1057

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OBJECTIVE The aim of the present cross-sectional study was to examine the association among physical activity (PA), sedentary time (ST), and cardiometabolic risk in adults with prediabetes.RESEARCH DESIGN AND METHODS Participants (n = 2,326; 25–70 years old, 67% female) from eight countries, with a...

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Published in: Diabetes Care
ISSN: 0149-5992 1935-5548
Published: 2018
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2018-09-12T17:41:29.5599931</datestamp><bib-version>v2</bib-version><id>36626</id><entry>2017-11-07</entry><title>Objectively Measured Physical Activity and Sedentary Time Are Associated With Cardiometabolic Risk Factors in Adults With Prediabetes: The PREVIEW Study</title><swanseaauthors><author><sid>5219d126f97f8f884bdb622099bd41de</sid><ORCID>0000-0003-2228-086X</ORCID><firstname>Jeffrey</firstname><surname>Stephens</surname><name>Jeffrey Stephens</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>062f5697ff59f004bc8c713955988398</sid><ORCID>0000-0003-0813-7477</ORCID><firstname>Melitta</firstname><surname>McNarry</surname><name>Melitta McNarry</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>6d62b2ed126961bed81a94a2beba8a01</sid><ORCID>0000-0001-5618-0803</ORCID><firstname>Gareth</firstname><surname>Stratton</surname><name>Gareth Stratton</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>bdb20e3f31bcccf95c7bc116070c4214</sid><ORCID>0000-0003-0355-6357</ORCID><firstname>Kelly</firstname><surname>Mackintosh</surname><name>Kelly Mackintosh</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2017-11-07</date><deptcode>PMSC</deptcode><abstract>OBJECTIVE The aim of the present cross-sectional study was to examine the association among physical activity (PA), sedentary time (ST), and cardiometabolic risk in adults with prediabetes.RESEARCH DESIGN AND METHODS Participants (n = 2,326; 25&#x2013;70 years old, 67% female) from eight countries, with a BMI &gt;25 kg &#x22C5; m&#x2212;2 and impaired fasting glucose (5.6&#x2013;6.9 mmol &#x22C5; L&#x2212;1) or impaired glucose tolerance (7.8&#x2013;11.0 mmol &#x22C5; L&#x2212;1 at 2 h), participated. Seven-day accelerometry objectively assessed PA levels and ST.RESULTS Multiple linear regression revealed that moderate-to-vigorous PA (MVPA) was negatively associated with HOMA of insulin resistance (HOMA-IR) (standardized &#x3B2; = &#x2212;0.078 [95% CI &#x2212;0.128, &#x2212;0.027]), waist circumference (WC) (&#x3B2; = &#x2212;0.177 [&#x2212;0.122, &#x2212;0.134]), fasting insulin (&#x3B2; = &#x2212;0.115 [&#x2212;0.158, &#x2212;0.072]), 2-h glucose (&#x3B2; = &#x2212;0.069 [&#x2212;0.112, &#x2212;0.025]), triglycerides (&#x3B2; = &#x2212;0.091 [&#x2212;0.138, &#x2212;0.044]), and CRP (&#x3B2; = &#x2212;0.086 [&#x2212;0.127, &#x2212;0.045]). ST was positively associated with HOMA-IR (&#x3B2; = 0.175 [0.114, 0.236]), WC (&#x3B2; = 0.215 [0.026, 0.131]), fasting insulin (&#x3B2; = 0.155 [0.092, 0.219]), triglycerides (&#x3B2; = 0.106 [0.052, 0.16]), CRP (&#x3B2; = 0.106 [0.39, 0.172]), systolic blood pressure (BP) (&#x3B2; = 0.078 [0.026, 0.131]), and diastolic BP (&#x3B2; = 0.106 [0.39, &#x2212;0.172]). Associations reported between total PA (counts &#x22C5; min&#x2212;1) and all risk factors were comparable or stronger than for MVPA: HOMA-IR (&#x3B2; = &#x2212;0.151 [&#x2212;0.194, &#x2212;0.107]), WC (&#x3B2; = &#x2212;0.179 [&#x2212;0.224, &#x2212;0.134]), fasting insulin (&#x3B2; = &#x2212;0.139 [&#x2212;0.183, &#x2212;0.096]), 2-h glucose (&#x3B2; = &#x2212;0.088 [&#x2212;0.131, &#x2212;0.045]), triglycerides (&#x3B2; = &#x2212;0.117 [&#x2212;0.162, &#x2212;0.071]), and CRP (&#x3B2; = &#x2212;0.104 [&#x2212;0.146, &#x2212;0.062]).CONCLUSIONS In adults with prediabetes, objectively measured PA and ST were associated with cardiometabolic risk markers. Total PA was at least as strongly associated with cardiometabolic risk markers as MVPA, which may imply that the accumulation of total PA over the day is as important as achieving the intensity of MVPA.</abstract><type>Journal Article</type><journal>Diabetes Care</journal><volume>41</volume><journalNumber>3</journalNumber><paginationStart>562</paginationStart><paginationEnd>569</paginationEnd><publisher/><issnPrint>0149-5992</issnPrint><issnElectronic>1935-5548</issnElectronic><keywords/><publishedDay>1</publishedDay><publishedMonth>3</publishedMonth><publishedYear>2018</publishedYear><publishedDate>2018-03-01</publishedDate><doi>10.2337/dc17-1057</doi><url/><notes/><college>COLLEGE NANME</college><department>Medicine</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>PMSC</DepartmentCode><institution>Swansea University</institution><lastEdited>2018-09-12T17:41:29.5599931</lastEdited><Created>2017-11-07T10:33:33.2188492</Created><path><level id="1">College of Engineering</level><level id="2">Engineering</level></path><authors><author><firstname>Nils</firstname><surname>Swindell</surname><order>1</order></author><author><firstname>Kelly</firstname><surname>Mackintosh</surname><orcid>0000-0003-0355-6357</orcid><order>2</order></author><author><firstname>Melitta</firstname><surname>McNarry</surname><orcid>0000-0003-0813-7477</orcid><order>3</order></author><author><firstname>Jeffrey</firstname><surname>Stephens</surname><orcid>0000-0003-2228-086X</orcid><order>4</order></author><author><firstname>Diewertje</firstname><surname>Sluik</surname><order>5</order></author><author><firstname>Mikael</firstname><surname>Fogelholm</surname><order>6</order></author><author><firstname>Mathijs</firstname><surname>Drummen</surname><order>7</order></author><author><firstname>Ian</firstname><surname>MacDonald</surname><order>8</order></author><author><firstname>J. Alfredo</firstname><surname>Martinez</surname><order>9</order></author><author><firstname>Teodora</firstname><surname>Handjieva-Darlenska</surname><order>10</order></author><author><firstname>Sally D.</firstname><surname>Poppitt</surname><order>11</order></author><author><firstname>Jennie</firstname><surname>Brand-Miller</surname><order>12</order></author><author><firstname>Thomas M.</firstname><surname>Larsen</surname><order>13</order></author><author><firstname>Anne</firstname><surname>Raben</surname><order>14</order></author><author><firstname>Gareth</firstname><surname>Stratton</surname><orcid>0000-0001-5618-0803</orcid><order>15</order></author></authors><documents><document><filename>0036626-07112017103559.pdf</filename><originalFilename>swindell2017.pdf</originalFilename><uploaded>2017-11-07T10:35:59.4870000</uploaded><type>Output</type><contentLength>518258</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><action/><embargoDate>2017-11-07T00:00:00.0000000</embargoDate><copyrightCorrect>false</copyrightCorrect><language>eng</language></document></documents></rfc1807>
spelling 2018-09-12T17:41:29.5599931 v2 36626 2017-11-07 Objectively Measured Physical Activity and Sedentary Time Are Associated With Cardiometabolic Risk Factors in Adults With Prediabetes: The PREVIEW Study 5219d126f97f8f884bdb622099bd41de 0000-0003-2228-086X Jeffrey Stephens Jeffrey Stephens true false 062f5697ff59f004bc8c713955988398 0000-0003-0813-7477 Melitta McNarry Melitta McNarry true false 6d62b2ed126961bed81a94a2beba8a01 0000-0001-5618-0803 Gareth Stratton Gareth Stratton true false bdb20e3f31bcccf95c7bc116070c4214 0000-0003-0355-6357 Kelly Mackintosh Kelly Mackintosh true false 2017-11-07 PMSC OBJECTIVE The aim of the present cross-sectional study was to examine the association among physical activity (PA), sedentary time (ST), and cardiometabolic risk in adults with prediabetes.RESEARCH DESIGN AND METHODS Participants (n = 2,326; 25–70 years old, 67% female) from eight countries, with a BMI >25 kg ⋅ m−2 and impaired fasting glucose (5.6–6.9 mmol ⋅ L−1) or impaired glucose tolerance (7.8–11.0 mmol ⋅ L−1 at 2 h), participated. Seven-day accelerometry objectively assessed PA levels and ST.RESULTS Multiple linear regression revealed that moderate-to-vigorous PA (MVPA) was negatively associated with HOMA of insulin resistance (HOMA-IR) (standardized β = −0.078 [95% CI −0.128, −0.027]), waist circumference (WC) (β = −0.177 [−0.122, −0.134]), fasting insulin (β = −0.115 [−0.158, −0.072]), 2-h glucose (β = −0.069 [−0.112, −0.025]), triglycerides (β = −0.091 [−0.138, −0.044]), and CRP (β = −0.086 [−0.127, −0.045]). ST was positively associated with HOMA-IR (β = 0.175 [0.114, 0.236]), WC (β = 0.215 [0.026, 0.131]), fasting insulin (β = 0.155 [0.092, 0.219]), triglycerides (β = 0.106 [0.052, 0.16]), CRP (β = 0.106 [0.39, 0.172]), systolic blood pressure (BP) (β = 0.078 [0.026, 0.131]), and diastolic BP (β = 0.106 [0.39, −0.172]). Associations reported between total PA (counts ⋅ min−1) and all risk factors were comparable or stronger than for MVPA: HOMA-IR (β = −0.151 [−0.194, −0.107]), WC (β = −0.179 [−0.224, −0.134]), fasting insulin (β = −0.139 [−0.183, −0.096]), 2-h glucose (β = −0.088 [−0.131, −0.045]), triglycerides (β = −0.117 [−0.162, −0.071]), and CRP (β = −0.104 [−0.146, −0.062]).CONCLUSIONS In adults with prediabetes, objectively measured PA and ST were associated with cardiometabolic risk markers. Total PA was at least as strongly associated with cardiometabolic risk markers as MVPA, which may imply that the accumulation of total PA over the day is as important as achieving the intensity of MVPA. Journal Article Diabetes Care 41 3 562 569 0149-5992 1935-5548 1 3 2018 2018-03-01 10.2337/dc17-1057 COLLEGE NANME Medicine COLLEGE CODE PMSC Swansea University 2018-09-12T17:41:29.5599931 2017-11-07T10:33:33.2188492 College of Engineering Engineering Nils Swindell 1 Kelly Mackintosh 0000-0003-0355-6357 2 Melitta McNarry 0000-0003-0813-7477 3 Jeffrey Stephens 0000-0003-2228-086X 4 Diewertje Sluik 5 Mikael Fogelholm 6 Mathijs Drummen 7 Ian MacDonald 8 J. Alfredo Martinez 9 Teodora Handjieva-Darlenska 10 Sally D. Poppitt 11 Jennie Brand-Miller 12 Thomas M. Larsen 13 Anne Raben 14 Gareth Stratton 0000-0001-5618-0803 15 0036626-07112017103559.pdf swindell2017.pdf 2017-11-07T10:35:59.4870000 Output 518258 application/pdf Accepted Manuscript true 2017-11-07T00:00:00.0000000 false eng
title Objectively Measured Physical Activity and Sedentary Time Are Associated With Cardiometabolic Risk Factors in Adults With Prediabetes: The PREVIEW Study
spellingShingle Objectively Measured Physical Activity and Sedentary Time Are Associated With Cardiometabolic Risk Factors in Adults With Prediabetes: The PREVIEW Study
Jeffrey, Stephens
Melitta, McNarry
Gareth, Stratton
Kelly, Mackintosh
title_short Objectively Measured Physical Activity and Sedentary Time Are Associated With Cardiometabolic Risk Factors in Adults With Prediabetes: The PREVIEW Study
title_full Objectively Measured Physical Activity and Sedentary Time Are Associated With Cardiometabolic Risk Factors in Adults With Prediabetes: The PREVIEW Study
title_fullStr Objectively Measured Physical Activity and Sedentary Time Are Associated With Cardiometabolic Risk Factors in Adults With Prediabetes: The PREVIEW Study
title_full_unstemmed Objectively Measured Physical Activity and Sedentary Time Are Associated With Cardiometabolic Risk Factors in Adults With Prediabetes: The PREVIEW Study
title_sort Objectively Measured Physical Activity and Sedentary Time Are Associated With Cardiometabolic Risk Factors in Adults With Prediabetes: The PREVIEW Study
author_id_str_mv 5219d126f97f8f884bdb622099bd41de
062f5697ff59f004bc8c713955988398
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bdb20e3f31bcccf95c7bc116070c4214
author_id_fullname_str_mv 5219d126f97f8f884bdb622099bd41de_***_Jeffrey, Stephens
062f5697ff59f004bc8c713955988398_***_Melitta, McNarry
6d62b2ed126961bed81a94a2beba8a01_***_Gareth, Stratton
bdb20e3f31bcccf95c7bc116070c4214_***_Kelly, Mackintosh
author Jeffrey, Stephens
Melitta, McNarry
Gareth, Stratton
Kelly, Mackintosh
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description OBJECTIVE The aim of the present cross-sectional study was to examine the association among physical activity (PA), sedentary time (ST), and cardiometabolic risk in adults with prediabetes.RESEARCH DESIGN AND METHODS Participants (n = 2,326; 25–70 years old, 67% female) from eight countries, with a BMI >25 kg ⋅ m−2 and impaired fasting glucose (5.6–6.9 mmol ⋅ L−1) or impaired glucose tolerance (7.8–11.0 mmol ⋅ L−1 at 2 h), participated. Seven-day accelerometry objectively assessed PA levels and ST.RESULTS Multiple linear regression revealed that moderate-to-vigorous PA (MVPA) was negatively associated with HOMA of insulin resistance (HOMA-IR) (standardized β = −0.078 [95% CI −0.128, −0.027]), waist circumference (WC) (β = −0.177 [−0.122, −0.134]), fasting insulin (β = −0.115 [−0.158, −0.072]), 2-h glucose (β = −0.069 [−0.112, −0.025]), triglycerides (β = −0.091 [−0.138, −0.044]), and CRP (β = −0.086 [−0.127, −0.045]). ST was positively associated with HOMA-IR (β = 0.175 [0.114, 0.236]), WC (β = 0.215 [0.026, 0.131]), fasting insulin (β = 0.155 [0.092, 0.219]), triglycerides (β = 0.106 [0.052, 0.16]), CRP (β = 0.106 [0.39, 0.172]), systolic blood pressure (BP) (β = 0.078 [0.026, 0.131]), and diastolic BP (β = 0.106 [0.39, −0.172]). Associations reported between total PA (counts ⋅ min−1) and all risk factors were comparable or stronger than for MVPA: HOMA-IR (β = −0.151 [−0.194, −0.107]), WC (β = −0.179 [−0.224, −0.134]), fasting insulin (β = −0.139 [−0.183, −0.096]), 2-h glucose (β = −0.088 [−0.131, −0.045]), triglycerides (β = −0.117 [−0.162, −0.071]), and CRP (β = −0.104 [−0.146, −0.062]).CONCLUSIONS In adults with prediabetes, objectively measured PA and ST were associated with cardiometabolic risk markers. Total PA was at least as strongly associated with cardiometabolic risk markers as MVPA, which may imply that the accumulation of total PA over the day is as important as achieving the intensity of MVPA.
published_date 2018-03-01T03:55:37Z
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