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26-05-2020

Associations of leisure screen time with cardiometabolic biomarkers in college-aged adults

Auteurs: Chantal A. Vella, Katrina Taylor, Megan C. Nelson

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 6/2020

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Abstract

We examined whether screen time was associated with cardiometabolic disease (CMD) risk factors in young adults. Ninety-five adults (19.9 ± 11.4 years) self-reported medical and health behavior history, screen time (television viewing, video games and computer games), and dietary intake. Waist circumference, blood pressure, fasting glucose and lipid levels, cardiorespiratory fitness (VO2peak), and body composition were measured. Total sedentary behavior and moderate-to-vigorous physical activity (MVPA) were measured by accelerometer. On average, leisure screen time (2.0 ± 1.6 h day−1) accounted for 24% of total sedentary time (8.4 ± 1.5 h day−1). After adjustment for demographics, smoking, sleep duration, total energy intake, total sedentary time and MVPA, a 1-standard deviation increase in leisure screen time was associated with a 26% higher BMI, 29% higher waist circumference, 25% higher fat mass, 23% higher triglyceride, and 24% lower VO2peak (p < 0.05). Our findings suggest that screen time may contribute to the risk of obesity and CMD in young adults.
Literatuur
go back to reference American College of Sports Medicine. (2017). ACSM’s guidelines for exercise testing and prescription (10th ed.). Philadelphia: Wolters Kluwer. American College of Sports Medicine. (2017). ACSM’s guidelines for exercise testing and prescription (10th ed.). Philadelphia: Wolters Kluwer.
go back to reference Bachorik, P. S., & Ross, J. W. (1995). National cholesterol education program recommendations for measurement of low-density lipoprotein cholesterol: executive summary. The national cholesterol education program working group on lipoprotein measurement. Clinical Chemistry, 41, 1414–1420.CrossRef Bachorik, P. S., & Ross, J. W. (1995). National cholesterol education program recommendations for measurement of low-density lipoprotein cholesterol: executive summary. The national cholesterol education program working group on lipoprotein measurement. Clinical Chemistry, 41, 1414–1420.CrossRef
go back to reference Blair, S. N. (2009). Physical inactivity: the biggest public health problem of the 21st century. British Journal of Sports Medicine, 43, 1–2.PubMed Blair, S. N. (2009). Physical inactivity: the biggest public health problem of the 21st century. British Journal of Sports Medicine, 43, 1–2.PubMed
go back to reference Bureau of Labor Statistics (2018) American Time Use Survey—2017 Results. Washington, DC. Bureau of Labor Statistics (2018) American Time Use Survey—2017 Results. Washington, DC.
go back to reference Hales, C. M., Carroll, M. D., Fryar, C. D., & Ogden, C.L. (2017). Prevalence of obesity among adults and youth : United States, 2015–2016. Hyattsville. Hales, C. M., Carroll, M. D., Fryar, C. D., & Ogden, C.L. (2017). Prevalence of obesity among adults and youth : United States, 2015–2016. Hyattsville.
go back to reference National Cholesterol Education Program ATP III. (2002). Third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) final report. Circulation, 106, 3143–3421.CrossRef National Cholesterol Education Program ATP III. (2002). Third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) final report. Circulation, 106, 3143–3421.CrossRef
go back to reference Porter, A. K., Matthews, K. J., Salvo, D., & Kohl, H. W. (2017). Associations of physical activity, sedentary time, and screen time with cardiovascular fitness in United States adolescents: Results from the NHANES National Youth Fitness Survey. Journal of Physical Activity and Health, 14, 506–512. https://doi.org/10.1123/jpah.2016-0165CrossRefPubMed Porter, A. K., Matthews, K. J., Salvo, D., & Kohl, H. W. (2017). Associations of physical activity, sedentary time, and screen time with cardiovascular fitness in United States adolescents: Results from the NHANES National Youth Fitness Survey. Journal of Physical Activity and Health, 14, 506–512. https://​doi.​org/​10.​1123/​jpah.​2016-0165CrossRefPubMed
go back to reference Rosenberg, D. E., Norman, G. J., Wagner, N., et al. (2010). Reliability and validity of the sedentary behavior questionnaire (SBQ) for adults. Journal of Physical Activity and Health, 7, 697–705.CrossRef Rosenberg, D. E., Norman, G. J., Wagner, N., et al. (2010). Reliability and validity of the sedentary behavior questionnaire (SBQ) for adults. Journal of Physical Activity and Health, 7, 697–705.CrossRef
go back to reference Shephard, M. D. S., Mazzachi, B. C., & Shephard, A. K. (2007). Comparative performance of two point-of-care analysers for lipid testing. Clinical Laboratory, 53, 561–566.PubMed Shephard, M. D. S., Mazzachi, B. C., & Shephard, A. K. (2007). Comparative performance of two point-of-care analysers for lipid testing. Clinical Laboratory, 53, 561–566.PubMed
go back to reference Sirard, J. R., Forsyth, A., Oakes, J. M., & Schmitz, K. H. (2011). Accelerometer test-retest reliability by data processing algorithms: results from the Twin Cities Walking Study. Journal of Physical Activity and Health, 8, 668–674.CrossRef Sirard, J. R., Forsyth, A., Oakes, J. M., & Schmitz, K. H. (2011). Accelerometer test-retest reliability by data processing algorithms: results from the Twin Cities Walking Study. Journal of Physical Activity and Health, 8, 668–674.CrossRef
go back to reference Thorp, A. A., Healy, G. N., Owen, N., et al. (2010). Deleterious associations of sitting time and television viewing time with cardiometabolic risk biomarkers: Australian Diabetes, Obesity and Lifestyle (AusDiab) study 2004–2005. Diabetes Care, 33, 327–334. https://doi.org/10.2337/dc09-0493CrossRefPubMed Thorp, A. A., Healy, G. N., Owen, N., et al. (2010). Deleterious associations of sitting time and television viewing time with cardiometabolic risk biomarkers: Australian Diabetes, Obesity and Lifestyle (AusDiab) study 2004–2005. Diabetes Care, 33, 327–334. https://​doi.​org/​10.​2337/​dc09-0493CrossRefPubMed
Metagegevens
Titel
Associations of leisure screen time with cardiometabolic biomarkers in college-aged adults
Auteurs
Chantal A. Vella
Katrina Taylor
Megan C. Nelson
Publicatiedatum
26-05-2020
Uitgeverij
Springer US
Gepubliceerd in
Journal of Behavioral Medicine / Uitgave 6/2020
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI
https://doi.org/10.1007/s10865-020-00161-2

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