Patrik Wennberg1, Per E Gustafsson1, Bethany Howard2, Maria Wennberg1, Anne Hammarström1. 1. Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden. 2. Baker IDI Heart and Diabetes Institute, Melbourne, Australia School of Public Health & Preventive Medicine, Monash University, Melbourne, Australia.
Abstract
BACKGROUND: Accumulating evidence suggests that television (TV) viewing is associated with cardio-metabolic risk, but little is known about how this relationship unfolds over the life course. This study employs a life course epidemiological framework by examining the potential cumulative effect of frequent TV viewing during adolescence and young adulthood on the prevalence of metabolic syndrome in mid-adulthood; and whether TV viewing during adolescence constitutes a sensitive period for the development of the metabolic syndrome in mid-adulthood. METHODS: We used data from the Northern Swedish Cohort, a nationally representative cohort comprising 855 participants (80% of the baseline sample). Data were collected during 1981-2008 and analysed in 2013. Logistic regression was applied to examine the associations between TV viewing at ages 16, 21 and 30 years, and the metabolic syndrome at age 43 years. RESULTS: Cumulative frequent TV viewing was associated with subsequent prevalence of the metabolic syndrome after adjustment for potential confounders (p for trend=0.026). Watching 'several shows a day' compared with 'one show/week' or less at age 16 years was associated with the metabolic syndrome at age 43 years after adjustment for later exposure (TV viewing at ages 21 and 30 years) and potential confounders (OR 1.86, 95% CI 1.06 to 3.27). CONCLUSIONS: The number of life periods of frequent TV viewing during adolescence and early adulthood influenced cardio-metabolic risk in mid-adulthood in a dose-dependent manner, corresponding to a cumulative risk life course model. Additionally, TV viewing in adolescence may constitute a sensitive period for the metabolic syndrome in mid-adulthood. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
BACKGROUND: Accumulating evidence suggests that television (TV) viewing is associated with cardio-metabolic risk, but little is known about how this relationship unfolds over the life course. This study employs a life course epidemiological framework by examining the potential cumulative effect of frequent TV viewing during adolescence and young adulthood on the prevalence of metabolic syndrome in mid-adulthood; and whether TV viewing during adolescence constitutes a sensitive period for the development of the metabolic syndrome in mid-adulthood. METHODS: We used data from the Northern Swedish Cohort, a nationally representative cohort comprising 855 participants (80% of the baseline sample). Data were collected during 1981-2008 and analysed in 2013. Logistic regression was applied to examine the associations between TV viewing at ages 16, 21 and 30 years, and the metabolic syndrome at age 43 years. RESULTS: Cumulative frequent TV viewing was associated with subsequent prevalence of the metabolic syndrome after adjustment for potential confounders (p for trend=0.026). Watching 'several shows a day' compared with 'one show/week' or less at age 16 years was associated with the metabolic syndrome at age 43 years after adjustment for later exposure (TV viewing at ages 21 and 30 years) and potential confounders (OR 1.86, 95% CI 1.06 to 3.27). CONCLUSIONS: The number of life periods of frequent TV viewing during adolescence and early adulthood influenced cardio-metabolic risk in mid-adulthood in a dose-dependent manner, corresponding to a cumulative risk life course model. Additionally, TV viewing in adolescence may constitute a sensitive period for the metabolic syndrome in mid-adulthood. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
Entities:
Keywords:
Life course epidemiology; Lifecourse / Childhood Circumstances; Physical Activity
Authors: Emelia J Benjamin; Michael J Blaha; Stephanie E Chiuve; Mary Cushman; Sandeep R Das; Rajat Deo; Sarah D de Ferranti; James Floyd; Myriam Fornage; Cathleen Gillespie; Carmen R Isasi; Monik C Jiménez; Lori Chaffin Jordan; Suzanne E Judd; Daniel Lackland; Judith H Lichtman; Lynda Lisabeth; Simin Liu; Chris T Longenecker; Rachel H Mackey; Kunihiro Matsushita; Dariush Mozaffarian; Michael E Mussolino; Khurram Nasir; Robert W Neumar; Latha Palaniappan; Dilip K Pandey; Ravi R Thiagarajan; Mathew J Reeves; Matthew Ritchey; Carlos J Rodriguez; Gregory A Roth; Wayne D Rosamond; Comilla Sasson; Amytis Towfighi; Connie W Tsao; Melanie B Turner; Salim S Virani; Jenifer H Voeks; Joshua Z Willey; John T Wilkins; Jason Hy Wu; Heather M Alger; Sally S Wong; Paul Muntner Journal: Circulation Date: 2017-01-25 Impact factor: 29.690
Authors: Deborah R Young; Margo A Sidell; Corinna Koebnick; Brit I Saksvig; Yasmina Mohan; Deborah A Cohen; Tong Tong Wu Journal: Am J Prev Med Date: 2019-02-15 Impact factor: 5.043
Authors: Garrett Strizich; Robert C Kaplan; Daniela Sotres-Alvarez; Keith M Diaz; Amber L Daigre; Mercedes R Carnethon; Denise C Vidot; Alan M Delamater; Lilian Perez; Krista Perreira; Carmen R Isasi; Qibin Qi Journal: J Clin Endocrinol Metab Date: 2018-09-01 Impact factor: 6.134
Authors: Erik Sigmund; Dagmar Sigmundová; Petr Badura; Michal Kalman; Zdenek Hamrik; Jan Pavelka Journal: Int J Environ Res Public Health Date: 2015-09-18 Impact factor: 3.390
Authors: Cedric Busschaert; Nicola D Ridgers; Ilse De Bourdeaudhuij; Greet Cardon; Jelle Van Cauwenberg; Katrien De Cocker Journal: PLoS One Date: 2016-12-09 Impact factor: 3.240
Authors: Manman Chen; Yanhui Li; Li Chen; Di Gao; Zhaogeng Yang; Ying Ma; Tao Ma; Bin Dong; Yanhui Dong; Jun Ma; Jie Hu Journal: Front Pediatr Date: 2021-05-20 Impact factor: 3.418
Authors: Sara Knaeps; Johan Lefevre; Anne Wijtzes; Ruben Charlier; Evelien Mertens; Jan G Bourgois Journal: PLoS One Date: 2016-07-27 Impact factor: 3.240