TV time but not computer time is associated with cardiometabolic risk in Dutch young adults

BACKGROUND: TV time and total sedentary time have been positively related to biomarkers of cardiometabolic risk in adults. We aim to examine the association of TV time and computer time separately with cardiometabolic biomarkers in young adults. Additionally, the mediating role of waist circumference (WC) is studied. METHODS AND FINDINGS: Data of 634 Dutch young adults (18-28 years; 39% male) were used. Cardiometabolic biomarkers included indicators of overweight, blood pressure, blood levels of fasting plasma insulin, cholesterol, glucose, triglycerides and a clustered cardiometabolic risk sc... Mehr ...

Verfasser: Altenburg, Teatske M
de Kroon, Marlou L A
Renders, Carry M
Hirasing, Remy
Chinapaw, Mai J M
Dokumenttyp: Artikel
Erscheinungsdatum: 2013
Reihe/Periodikum: Altenburg , T M , de Kroon , M L A , Renders , C M , Hirasing , R & Chinapaw , M J M 2013 , ' TV time but not computer time is associated with cardiometabolic risk in Dutch young adults ' , PLoS ONE , vol. 8 , no. 2 , e57749 . https://doi.org/10.1371/journal.pone.0057749
Schlagwörter: Adolescent / Adult / Biomarkers/blood / Cardiovascular Diseases/blood / Computers / Cross-Sectional Studies / Female / Humans / Male / Netherlands/epidemiology / Regression Analysis / Risk Factors / Television / Time Factors / Waist Circumference / Young Adult
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27059093
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://hdl.handle.net/11370/9136d69d-40a1-4613-b833-901f840b47f9

BACKGROUND: TV time and total sedentary time have been positively related to biomarkers of cardiometabolic risk in adults. We aim to examine the association of TV time and computer time separately with cardiometabolic biomarkers in young adults. Additionally, the mediating role of waist circumference (WC) is studied. METHODS AND FINDINGS: Data of 634 Dutch young adults (18-28 years; 39% male) were used. Cardiometabolic biomarkers included indicators of overweight, blood pressure, blood levels of fasting plasma insulin, cholesterol, glucose, triglycerides and a clustered cardiometabolic risk score. Linear regression analyses were used to assess the cross-sectional association of self-reported TV and computer time with cardiometabolic biomarkers, adjusting for demographic and lifestyle factors. Mediation by WC was checked using the product-of-coefficient method. TV time was significantly associated with triglycerides (B = 0.004; CI = [0.001;0.05]) and insulin (B = 0.10; CI = [0.01;0.20]). Computer time was not significantly associated with any of the cardiometabolic biomarkers. We found no evidence for WC to mediate the association of TV time or computer time with cardiometabolic biomarkers. CONCLUSIONS: We found a significantly positive association of TV time with cardiometabolic biomarkers. In addition, we found no evidence for WC as a mediator of this association. Our findings suggest a need to distinguish between TV time and computer time within future guidelines for screen time.