Cross-sectional associations of device-measured sedentary behaviour and physical activity with cardio-metabolic health in the 1970 British Cohort Study.
- Publisher:
- Wiley
- Publication Type:
- Journal Article
- Citation:
- Diabetic Medicine, 2021, 38, (2), pp. 1-9
- Issue Date:
- 2021-02
Open Access
Copyright Clearance Process
- Recently Added
- In Progress
- Open Access
This item is open access.
Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Huang, BH | |
dc.contributor.author | Hamer, M | |
dc.contributor.author | Chastin, S | |
dc.contributor.author | Pearson, N | |
dc.contributor.author | Koster, A | |
dc.contributor.author | Stamatakis, E | |
dc.date.accessioned | 2022-04-14T02:05:19Z | |
dc.date.available | 2020-08-18 | |
dc.date.available | 2022-04-14T02:05:19Z | |
dc.date.issued | 2021-02 | |
dc.identifier.citation | Diabetic Medicine, 2021, 38, (2), pp. 1-9 | |
dc.identifier.issn | 0742-3071 | |
dc.identifier.issn | 1464-5491 | |
dc.identifier.uri | http://hdl.handle.net/10453/156240 | |
dc.description.abstract | AIMS: This study aimed to examine the cross-sectional associations of thigh accelerometry-assessed sedentary behaviour and moderate-to-vigorous physical activity (MVPA) with cardio-metabolic health markers and prevalent diabetes in a population sample of middle-aged British adults. METHODS: Participants (n = 4892) from the age-46-to-48 wave of the 1970 British Cohort Study were fitted with a waterproofed activPAL3 micro device. Total/prolonged sedentary time, breaks and MVPA were the main exposures. We dichotomized prolonged sedentary time and MVPA based on the corresponding median, generating four combinations as categorical exposures. Outcomes comprised of diabetes and seven cardio-metabolic health markers. We used logistic regression and generalized linear models to examine independent/joint associations, conducting a minimally adjusted model including demographics and contextual covariates, and further adjusted for total sedentary time and/or MVPA as applicable. RESULTS: Each set of 10 sedentary breaks and 1 h of prolonged sedentary time were associated with HbA1c (mmol/mol) [B = -0.18 (-0.33, -0.03) and 2.35 (1.01, 3.69), respectively]. Each set of 10 sedentary breaks and 1 h of MVPA were favourably associated with diabetes [adjusted odds ratio (AOR): 0.80 (0.71, 0.99) and 0.42 (0.26, 0.67), respectively]. Joint analyses showed that only the low MVPA × long sedentary time combination had significantly higher odds for diabetes than the referent high MVPA × short sedentary time combination [AOR: 1.89 (1.17, 3.03)]. CONCLUSIONS: Each set of additional 10 sedentary breaks per day was associated with 20% lower odds for diabetes. A low physical activity level combined with long sedentary time might synergistically deteriorate cardio-metabolic health. | |
dc.format | Print-Electronic | |
dc.language | eng | |
dc.publisher | Wiley | |
dc.relation.ispartof | Diabetic Medicine | |
dc.relation.isbasedon | 10.1111/dme.14392 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | 1103 Clinical Sciences, 1117 Public Health and Health Services, 1701 Psychology | |
dc.subject.classification | Endocrinology & Metabolism | |
dc.subject.mesh | Accelerometry | |
dc.subject.mesh | Adipose Tissue | |
dc.subject.mesh | Blood Pressure | |
dc.subject.mesh | Body Mass Index | |
dc.subject.mesh | Cardiometabolic Risk Factors | |
dc.subject.mesh | Cholesterol | |
dc.subject.mesh | Cholesterol, HDL | |
dc.subject.mesh | Cohort Studies | |
dc.subject.mesh | C-Reactive Protein | |
dc.subject.mesh | Diabetes Mellitus | |
dc.subject.mesh | Exercise | |
dc.subject.mesh | Female | |
dc.subject.mesh | Glycated Hemoglobin A | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Logistic Models | |
dc.subject.mesh | Male | |
dc.subject.mesh | Middle Aged | |
dc.subject.mesh | Sedentary Behavior | |
dc.subject.mesh | Time Factors | |
dc.subject.mesh | Triglycerides | |
dc.subject.mesh | United Kingdom | |
dc.subject.mesh | Accelerometry | |
dc.subject.mesh | Adipose Tissue | |
dc.subject.mesh | Blood Pressure | |
dc.subject.mesh | Body Mass Index | |
dc.subject.mesh | C-Reactive Protein | |
dc.subject.mesh | Cardiometabolic Risk Factors | |
dc.subject.mesh | Cholesterol | |
dc.subject.mesh | Cholesterol, HDL | |
dc.subject.mesh | Cohort Studies | |
dc.subject.mesh | Diabetes Mellitus | |
dc.subject.mesh | Exercise | |
dc.subject.mesh | Female | |
dc.subject.mesh | Glycated Hemoglobin A | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Logistic Models | |
dc.subject.mesh | Male | |
dc.subject.mesh | Middle Aged | |
dc.subject.mesh | Sedentary Behavior | |
dc.subject.mesh | Time Factors | |
dc.subject.mesh | Triglycerides | |
dc.subject.mesh | United Kingdom | |
dc.subject.mesh | Adipose Tissue | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Diabetes Mellitus | |
dc.subject.mesh | Cholesterol | |
dc.subject.mesh | Triglycerides | |
dc.subject.mesh | C-Reactive Protein | |
dc.subject.mesh | Body Mass Index | |
dc.subject.mesh | Exercise | |
dc.subject.mesh | Logistic Models | |
dc.subject.mesh | Cohort Studies | |
dc.subject.mesh | Blood Pressure | |
dc.subject.mesh | Time Factors | |
dc.subject.mesh | Middle Aged | |
dc.subject.mesh | Female | |
dc.subject.mesh | Male | |
dc.subject.mesh | Cholesterol, HDL | |
dc.subject.mesh | Accelerometry | |
dc.subject.mesh | United Kingdom | |
dc.subject.mesh | Glycated Hemoglobin A | |
dc.subject.mesh | Sedentary Behavior | |
dc.subject.mesh | Cardiometabolic Risk Factors | |
dc.title | Cross-sectional associations of device-measured sedentary behaviour and physical activity with cardio-metabolic health in the 1970 British Cohort Study. | |
dc.type | Journal Article | |
utslib.citation.volume | 38 | |
utslib.location.activity | England | |
utslib.for | 1103 Clinical Sciences | |
utslib.for | 1117 Public Health and Health Services | |
utslib.for | 1701 Psychology | |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health/Public Health | |
utslib.copyright.status | open_access | * |
pubs.consider-herdc | false | |
dc.date.updated | 2022-04-14T02:05:18Z | |
pubs.issue | 2 | |
pubs.publication-status | Published | |
pubs.volume | 38 | |
utslib.citation.issue | 2 |
Abstract:
AIMS: This study aimed to examine the cross-sectional associations of thigh accelerometry-assessed sedentary behaviour and moderate-to-vigorous physical activity (MVPA) with cardio-metabolic health markers and prevalent diabetes in a population sample of middle-aged British adults. METHODS: Participants (n = 4892) from the age-46-to-48 wave of the 1970 British Cohort Study were fitted with a waterproofed activPAL3 micro device. Total/prolonged sedentary time, breaks and MVPA were the main exposures. We dichotomized prolonged sedentary time and MVPA based on the corresponding median, generating four combinations as categorical exposures. Outcomes comprised of diabetes and seven cardio-metabolic health markers. We used logistic regression and generalized linear models to examine independent/joint associations, conducting a minimally adjusted model including demographics and contextual covariates, and further adjusted for total sedentary time and/or MVPA as applicable. RESULTS: Each set of 10 sedentary breaks and 1 h of prolonged sedentary time were associated with HbA1c (mmol/mol) [B = -0.18 (-0.33, -0.03) and 2.35 (1.01, 3.69), respectively]. Each set of 10 sedentary breaks and 1 h of MVPA were favourably associated with diabetes [adjusted odds ratio (AOR): 0.80 (0.71, 0.99) and 0.42 (0.26, 0.67), respectively]. Joint analyses showed that only the low MVPA × long sedentary time combination had significantly higher odds for diabetes than the referent high MVPA × short sedentary time combination [AOR: 1.89 (1.17, 3.03)]. CONCLUSIONS: Each set of additional 10 sedentary breaks per day was associated with 20% lower odds for diabetes. A low physical activity level combined with long sedentary time might synergistically deteriorate cardio-metabolic health.
Please use this identifier to cite or link to this item:
Download statistics for the last 12 months
Not enough data to produce graph