Josephine Y Chau1, Anne Grunseit2, Kristian Midthjell3, Jostein Holmen3, Turid L Holmen3, Adrian E Bauman2, Hidde P van der Ploeg4. 1. Prevention Research Collaboration, Sydney School of Public Health, University of Sydney, Australia. Electronic address: josephine.chau@sydney.edu.au. 2. Prevention Research Collaboration, Sydney School of Public Health, University of Sydney, Australia. 3. HUNT Research Centre, Department of Public Health and General Practice, Faculty of Medicine, Norwegian University of Science and Technology, Levanger, Norway. 4. Prevention Research Collaboration, Sydney School of Public Health, University of Sydney, Australia; Department of Public and Occupational Health, VU University Medical Center, Amsterdam, The Netherlands.
Abstract
OBJECTIVES: To examine associations of total sitting time, TV-viewing and leisure-time computer use with cardiometabolic risk biomarkers in adults. DESIGN: Population based cross-sectional study. METHODS: Waist circumference, BMI, total cholesterol, HDL cholesterol, blood pressure, non-fasting glucose, gamma glutamyltransferase (GGT) and triglycerides were measured in 48,882 adults aged 20 years or older from the Nord-Trøndelag Health Study 2006-2008 (HUNT3). Adjusted multiple regression models were used to test for associations between these biomarkers and self-reported total sitting time, TV-viewing and leisure-time computer use in the whole sample and by cardiometabolic disease status sub-groups. RESULTS: In the whole sample, reporting total sitting time ≥10 h/day was associated with poorer BMI, waist circumference, total cholesterol, HDL cholesterol, diastolic blood pressure, systolic blood pressure, non-fasting glucose, GGT and triglyceride levels compared to those reporting total sitting time <4h/day (all p<0.05). TV-viewing ≥4 h/day was associated with poorer BMI, waist circumference, total cholesterol, HDL cholesterol, systolic blood pressure, GGT and triglycerides compared to TV-viewing <1h/day (all p<0.05). Leisure-time computer use ≥1 h/day was associated with poorer BMI, total cholesterol, diastolic blood pressure, GGT and triglycerides compared with those reporting no leisure-time computing. Sub-group analyses by cardiometabolic disease status showed similar patterns in participants free of cardiometabolic disease, while similar albeit non-significant patterns were observed in those with cardiometabolic disease. CONCLUSIONS: Total sitting time, TV-viewing and leisure-time computer use are associated with poorer cardiometabolic risk profiles in adults. Reducing sedentary behaviour throughout the day and limiting TV-viewing and leisure-time computer use may have health benefits.
OBJECTIVES: To examine associations of total sitting time, TV-viewing and leisure-time computer use with cardiometabolic risk biomarkers in adults. DESIGN: Population based cross-sectional study. METHODS: Waist circumference, BMI, total cholesterol, HDL cholesterol, blood pressure, non-fasting glucose, gamma glutamyltransferase (GGT) and triglycerides were measured in 48,882 adults aged 20 years or older from the Nord-Trøndelag Health Study 2006-2008 (HUNT3). Adjusted multiple regression models were used to test for associations between these biomarkers and self-reported total sitting time, TV-viewing and leisure-time computer use in the whole sample and by cardiometabolic disease status sub-groups. RESULTS: In the whole sample, reporting total sitting time ≥10 h/day was associated with poorer BMI, waist circumference, total cholesterol, HDL cholesterol, diastolic blood pressure, systolic blood pressure, non-fasting glucose, GGT and triglyceride levels compared to those reporting total sitting time <4h/day (all p<0.05). TV-viewing ≥4 h/day was associated with poorer BMI, waist circumference, total cholesterol, HDL cholesterol, systolic blood pressure, GGT and triglycerides compared to TV-viewing <1h/day (all p<0.05). Leisure-time computer use ≥1 h/day was associated with poorer BMI, total cholesterol, diastolic blood pressure, GGT and triglycerides compared with those reporting no leisure-time computing. Sub-group analyses by cardiometabolic disease status showed similar patterns in participants free of cardiometabolic disease, while similar albeit non-significant patterns were observed in those with cardiometabolic disease. CONCLUSIONS: Total sitting time, TV-viewing and leisure-time computer use are associated with poorer cardiometabolic risk profiles in adults. Reducing sedentary behaviour throughout the day and limiting TV-viewing and leisure-time computer use may have health benefits.
Authors: Sharon P Parry; Pieter Coenen; Nipun Shrestha; Peter B O'Sullivan; Christopher G Maher; Leon M Straker Journal: Cochrane Database Syst Rev Date: 2019-11-17
Authors: Christina Bjørk Petersen; Adrian Bauman; Morten Grønbæk; Jørn Wulff Helge; Lau Caspar Thygesen; Janne S Tolstrup Journal: Int J Behav Nutr Phys Act Date: 2014-02-05 Impact factor: 6.457