Journal article 1132 views 214 downloads
Objectively Measured Physical Activity and Sedentary Time Are Associated With Cardiometabolic Risk Factors in Adults With Prediabetes: The PREVIEW Study
Diabetes Care, Volume: 41, Issue: 3, Pages: 562 - 569
Swansea University Authors:
Nils Swindell, Kelly Mackintosh , Melitta McNarry
, Jeffrey Stephens
, Gareth Stratton
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DOI (Published version): 10.2337/dc17-1057
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; 25–70 years old, 67% female) from eight countries, with a...
Published in: | Diabetes Care |
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ISSN: | 0149-5992 1935-5548 |
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2018
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<?xml version="1.0"?><rfc1807><datestamp>2021-01-14T13:52:24.8902779</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>d89a0a3fb118e1cf625fddc68cdf25bb</sid><firstname>Nils</firstname><surname>Swindell</surname><name>Nils Swindell</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><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>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>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></swanseaauthors><date>2017-11-07</date><deptcode>ISSS</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; 25–70 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.</abstract><type>Journal Article</type><journal>Diabetes Care</journal><volume>41</volume><journalNumber>3</journalNumber><paginationStart>562</paginationStart><paginationEnd>569</paginationEnd><publisher/><placeOfPublication/><isbnPrint/><isbnElectronic/><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>Inclusive Student Support Services</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>ISSS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2021-01-14T13:52:24.8902779</lastEdited><Created>2017-11-07T10:33:33.2188492</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Uncategorised</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><embargoDate>2017-11-07T00:00:00.0000000</embargoDate><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807> |
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2021-01-14T13:52:24.8902779 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 d89a0a3fb118e1cf625fddc68cdf25bb Nils Swindell Nils Swindell true false bdb20e3f31bcccf95c7bc116070c4214 0000-0003-0355-6357 Kelly Mackintosh Kelly Mackintosh true false 062f5697ff59f004bc8c713955988398 0000-0003-0813-7477 Melitta McNarry Melitta McNarry true false 5219d126f97f8f884bdb622099bd41de 0000-0003-2228-086X Jeffrey Stephens Jeffrey Stephens true false 6d62b2ed126961bed81a94a2beba8a01 0000-0001-5618-0803 Gareth Stratton Gareth Stratton true false 2017-11-07 ISSS 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 Inclusive Student Support Services COLLEGE CODE ISSS Swansea University 2021-01-14T13:52:24.8902779 2017-11-07T10:33:33.2188492 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised 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 true 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 Nils Swindell Kelly Mackintosh Melitta McNarry Jeffrey Stephens Gareth Stratton |
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 |
d89a0a3fb118e1cf625fddc68cdf25bb bdb20e3f31bcccf95c7bc116070c4214 062f5697ff59f004bc8c713955988398 5219d126f97f8f884bdb622099bd41de 6d62b2ed126961bed81a94a2beba8a01 |
author_id_fullname_str_mv |
d89a0a3fb118e1cf625fddc68cdf25bb_***_Nils Swindell bdb20e3f31bcccf95c7bc116070c4214_***_Kelly Mackintosh 062f5697ff59f004bc8c713955988398_***_Melitta McNarry 5219d126f97f8f884bdb622099bd41de_***_Jeffrey Stephens 6d62b2ed126961bed81a94a2beba8a01_***_Gareth Stratton |
author |
Nils Swindell Kelly Mackintosh Melitta McNarry Jeffrey Stephens Gareth Stratton |
author2 |
Nils Swindell Kelly Mackintosh Melitta McNarry Jeffrey Stephens Diewertje Sluik Mikael Fogelholm Mathijs Drummen Ian MacDonald J. Alfredo Martinez Teodora Handjieva-Darlenska Sally D. Poppitt Jennie Brand-Miller Thomas M. Larsen Anne Raben Gareth Stratton |
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Diabetes Care |
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41 |
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562 |
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2018 |
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Swansea University |
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0149-5992 1935-5548 |
doi_str_mv |
10.2337/dc17-1057 |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised |
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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 |
2018-03-01T03:45:55Z |
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1763752181512536064 |
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11.021648 |