Jennifer Brunet1, Catherine M Sabiston2, Erin O'Loughlin3, Michael Chaiton4, Nancy C P Low5, Jennifer L O'Loughlin6. 1. School of Human Kinetics, University of Ottawa, 125 University Private, Ottawa, Ontario K1N 6N5, Canada. Electronic address: jennifer.brunet@uottawa.ca. 2. Department of Kinesiology & Physical Education, University of Toronto, 55 Harbord Street, Toronto, Ontario M5S 2W6, Canada. Electronic address: catherine.sabiston@utoronto.ca. 3. Research Hospital Center of the Université de Montréal (CRCHUM), 3875 Saint-Urbain, Montreal, Quebec H2W 1V1, Canada. Electronic address: erin.oloughlin@crchum.qc.ca. 4. Ontario Tobacco Research Unit, Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, Ontario M5T 3M7, Canada. Electronic address: michael.chaiton@camh.ca. 5. Department of Psychiatry, McGill University, 1033 Pine Avenue West, Montreal, Quebec H3A 1A1, Canada. Electronic address: nancy.low@mcgill.ca. 6. Research Hospital Center of the Université de Montréal (CRCHUM), 3875 Saint-Urbain, Montreal, Quebec H2W 1V1, Canada; Department of Social and Preventive Medicine, University of Montreal, 3875 Saint-Urbain, Montreal, Quebec H2W 1V1, Canada, H2W 1V1. Electronic address: jennifer.oloughlin@umontreal.ca.
Abstract
OBJECTIVE: A habitual sedentary lifestyle is associated with adverse health outcomes; however, the predictors of sedentary behaviors have not been sufficiently explored to inform the development and delivery of effective interventions to reduce sedentary behaviors. This study examined whether reports of symptoms of depression could predict weekly time spent in sedentary behaviors (i.e., television watching, computer use) 4years later. METHOD: Self-reported symptoms of depression were assessed at age 20years (2007-08), and television watching time and computer use were assessed at age 24years (2011-12) in 761 adults (45% men) participating in the Nicotine Dependence in Teens study. Data were analyzed using linear regression analysis, with separate models for men and women. RESULTS: After controlling for past sedentary behavior, symptoms of depression at age 20years predicted more computer use 4years later in men (R(2)=.21, β=.13, p<.05), but not in women. Symptoms of depression did not predict television watching. CONCLUSIONS: Results highlight the need to distinguish between types of sedentary behaviors as their predictors may differ. Further, they provide support for the hypothesis that psychological factors, in this case symptoms of depression, may relate to select sedentary behaviors in young men.
OBJECTIVE: A habitual sedentary lifestyle is associated with adverse health outcomes; however, the predictors of sedentary behaviors have not been sufficiently explored to inform the development and delivery of effective interventions to reduce sedentary behaviors. This study examined whether reports of symptoms of depression could predict weekly time spent in sedentary behaviors (i.e., television watching, computer use) 4years later. METHOD: Self-reported symptoms of depression were assessed at age 20years (2007-08), and television watching time and computer use were assessed at age 24years (2011-12) in 761 adults (45% men) participating in the Nicotine Dependence in Teens study. Data were analyzed using linear regression analysis, with separate models for men and women. RESULTS: After controlling for past sedentary behavior, symptoms of depression at age 20years predicted more computer use 4years later in men (R(2)=.21, β=.13, p<.05), but not in women. Symptoms of depression did not predict television watching. CONCLUSIONS: Results highlight the need to distinguish between types of sedentary behaviors as their predictors may differ. Further, they provide support for the hypothesis that psychological factors, in this case symptoms of depression, may relate to select sedentary behaviors in young men.
Authors: Raymond W Lam; Diane McIntosh; JianLi Wang; Murray W Enns; Theo Kolivakis; Erin E Michalak; Jitender Sareen; Wei-Yi Song; Sidney H Kennedy; Glenda M MacQueen; Roumen V Milev; Sagar V Parikh; Arun V Ravindran Journal: Can J Psychiatry Date: 2016-08-02 Impact factor: 4.356