Lisa Kakinami1, Erin K O'Loughlin2, Jennifer Brunet3, Erika N Dugas4, Evelyn Constantin5, Catherine M Sabiston6, Jennifer O'Loughlin7. 1. Department of Mathematics and Statistics, Concordia University, 1455 de Maisonneuve Blvd W, Montreal, Quebec, H3G 1M8, Canada; PERFORM Centre, Concordia University, 7200 Sherbrooke St W, Montreal, Quebec, H4B 1R6, Canada. Electronic address: lisa.kakinami@concordia.ca. 2. Centre de recherche du centre hospitalier de l'Université de Montréal, 900 Rue Saint-Denis, Montréal, Quebec, H2X 0A9, Canada; INDI Department, Concordia University, 7141 Sherbrooke St W, Montreal, Quebec, H4B 1R6, Canada. 3. School of Human Kinetics, University of Ottawa, 125 University Private, Ottawa, ON, K1N 6N5, Canada. 4. Centre de recherche du centre hospitalier de l'Université de Montréal, 900 Rue Saint-Denis, Montréal, Quebec, H2X 0A9, Canada. 5. Department of Pediatrics, McGill University, 1001 Décarie Blvd, Montreal, Quebec, H4A 3J1, Canada. 6. Faculty of Kinesiology & Physical Education, University of Toronto, Faculty of Kinesiology and Physical Education, 55 Harbord St, Toronto, Ontario, M5S 2W6, Canada. 7. Centre de recherche du centre hospitalier de l'Université de Montréal, 900 Rue Saint-Denis, Montréal, Quebec, H2X 0A9, Canada; Department of Social and Preventive Medicine, University of Montreal, 7101 Parc Ave, 3rd floor, Montreal, Quebec, H3N 1X9, Canada; Institut national de sante publique du Quebec, 190 Crémazie Blvd E, Montreal, Quebec, H2P 1E2, Canada.
Abstract
OBJECTIVES: Intensity and duration of physical activity (PA) and sedentary behavior are individually associated with sleep, but their independent associations are poorly characterized. The objectives of this study were to determine if PA and/or sedentary behavior are/is associated with sleep quality and/or quantity in a young adult sample. DESIGN: Cross-sectional. SETTING: Montreal, Canada. PARTICIPANTS: Participants (n=658) from the Nicotine Dependence in Teens Study. MEASUREMENTS: PA measures included total minutes of light, moderate, and vigorous PA in the past week; sedentary measures included number of hours per day watching television (TV) and using the computer for leisure activities in the past week. Sleep measures included (1) the Pittsburgh Sleep Quality Index, which assesses sleep quality in the past month, and (2) number of hours of sleep per night in the past month. Data were analyzed using multiple logistic regression adjusting for age, sex, and mother's education. RESULTS: In multivariable analyses, each additional hour of TV and computer use per day was associated with a 17% and 13% increase, respectively, in the odds of reporting poor sleep quality. After additionally adjusting for PA, the association between TV use and poor sleep quality remained significant (odds ratio: 1.15, 95% confidence interval: 1.01-1.28). Sedentary behavior was not associated with sleep quantity. PA intensity and duration were not associated with sleep quality or quantity. CONCLUSIONS: More time spent doing sedentary activities was associated with poorer sleep quality, but PA was not associated. Clinicians treating young adults with sleep problems should inquire about sedentary behavior.
OBJECTIVES: Intensity and duration of physical activity (PA) and sedentary behavior are individually associated with sleep, but their independent associations are poorly characterized. The objectives of this study were to determine if PA and/or sedentary behavior are/is associated with sleep quality and/or quantity in a young adult sample. DESIGN: Cross-sectional. SETTING: Montreal, Canada. PARTICIPANTS: Participants (n=658) from the Nicotine Dependence in Teens Study. MEASUREMENTS: PA measures included total minutes of light, moderate, and vigorous PA in the past week; sedentary measures included number of hours per day watching television (TV) and using the computer for leisure activities in the past week. Sleep measures included (1) the Pittsburgh Sleep Quality Index, which assesses sleep quality in the past month, and (2) number of hours of sleep per night in the past month. Data were analyzed using multiple logistic regression adjusting for age, sex, and mother's education. RESULTS: In multivariable analyses, each additional hour of TV and computer use per day was associated with a 17% and 13% increase, respectively, in the odds of reporting poor sleep quality. After additionally adjusting for PA, the association between TV use and poor sleep quality remained significant (odds ratio: 1.15, 95% confidence interval: 1.01-1.28). Sedentary behavior was not associated with sleep quantity. PA intensity and duration were not associated with sleep quality or quantity. CONCLUSIONS: More time spent doing sedentary activities was associated with poorer sleep quality, but PA was not associated. Clinicians treating young adults with sleep problems should inquire about sedentary behavior.
Authors: Katie L J Cederberg; Brenda Jeng; Jeffer E Sasaki; E Morghen Sikes; Gary Cutter; Robert W Motl Journal: Disabil Health J Date: 2021-06-11 Impact factor: 4.615
Authors: José Alberto Laredo-Aguilera; Ana Isabel Cobo-Cuenca; Esmeralda Santacruz-Salas; María Manuela Martins; María Aurora Rodríguez-Borrego; Pablo Jesús López-Soto; Juan Manuel Carmona-Torres Journal: Int J Environ Res Public Health Date: 2019-10-21 Impact factor: 3.390
Authors: Wenxi Liu; Qin Yuan; Nan Zeng; Daniel J McDonough; Kun Tao; Qingwen Peng; Zan Gao Journal: Int J Environ Res Public Health Date: 2021-04-09 Impact factor: 3.390