BACKGROUND: Television viewing time independent of physical activity is associated with a number of chronic diseases and related risk factors; however, its relationship with chronic kidney disease is unknown. PURPOSE: The purpose of this study is to examine the cross-sectional and prospective relationships of television viewing time with biomarkers of chronic kidney disease. METHODS: Participants of the Australian Diabetes, Obesity and Lifestyle Study attended the baseline (n = 10,847) and 5-year follow-up (n = 6,293) examination. RESULTS: Television viewing was significantly associated with increased odds of prevalent albuminuria and low estimated glomerular filtration rate. In the gender-stratified analyses this pattern was seen for men, but not for women. In the longitudinal analyses, odds of de novo albuminuria and low estimated glomerular filtration rate were increased only in unadjusted models. CONCLUSIONS: Television viewing time may be directly related to markers of chronic kidney disease and through intertwined associated risk factors such as diabetes, hypertension, and obesity.
BACKGROUND: Television viewing time independent of physical activity is associated with a number of chronic diseases and related risk factors; however, its relationship with chronic kidney disease is unknown. PURPOSE: The purpose of this study is to examine the cross-sectional and prospective relationships of television viewing time with biomarkers of chronic kidney disease. METHODS:Participants of the Australian Diabetes, Obesity and Lifestyle Study attended the baseline (n = 10,847) and 5-year follow-up (n = 6,293) examination. RESULTS: Television viewing was significantly associated with increased odds of prevalent albuminuria and low estimated glomerular filtration rate. In the gender-stratified analyses this pattern was seen for men, but not for women. In the longitudinal analyses, odds of de novo albuminuria and low estimated glomerular filtration rate were increased only in unadjusted models. CONCLUSIONS: Television viewing time may be directly related to markers of chronic kidney disease and through intertwined associated risk factors such as diabetes, hypertension, and obesity.
Authors: Marquis Hawkins; Anne B Newman; Magdalena Madero; Kushang V Patel; Michael G Shlipak; Jennifer Cooper; Kirsten L Johansen; Sankar D Navaneethan; Ronald I Shorr; Eleanor M Simonsick; Linda F Fried Journal: J Phys Act Health Date: 2014-04-17
Authors: Henry E Wang; John Baddley; Russell L Griffin; Suzanne Judd; George Howard; John P Donnelly; Monika M Safford Journal: Prev Med Date: 2014-04-24 Impact factor: 4.018
Authors: Mary Hannan; Ana C Ricardo; Jianwen Cai; Nora Franceschini; Robert Kaplan; David X Marquez; Sylvia E Rosas; Neil Schneiderman; Daniela Sotres-Alvarez; Gregory A Talavera; Martha L Daviglus; James P Lash Journal: Kidney360 Date: 2021-02-25