Sociodemographic and anthropometric factors associated with screen-based sedentary behavior among Japanese adults: A population-based cross-sectional study

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Abstract

Background: Concern over the health risks of sedentary behavior has highlighted the need to examine factors associated with screen-based (television/computer) sedentary behavior. The present study examined the association of screen-based sedentary behavior with body weight and sociodemographic attributes among Japanese adults. Methods: A population-based cross-sectional study enrolled 1034 Japanese adults aged 40 to 69 years who lived in 2 Japanese cities. Sociodemographic variables, height, weight, and time spent on screen-based sedentary behavior were collected by self-administered questionnaire. Differences in screen time in relation to body mass index and weight gain since age 20 years were assessed by the Mann-Whitney U test. Independent associations of each variable with screen time were examined by forced-entry logistic regression analyses. Results: Mean (SD) age and median (interquartile range) duration of screen time per week were 55.6 (8.4) years and 832.0 (368.8-1263.1) minutes, respectively, for men, and 55.3 (8.4) years and 852.6 (426.0-1307.5) minutes, respectively, for women. Screen time among participants with weight gain was longer than among those with a weight gain of less than 10 kg (P = 0.08). Unmarried and unemployed participants had longer screen times. Participants aged 40 to 49 years were less likely than older age groups to spend time on screen-based sedentary behavior during leisure hours. Conclusions: The present findings imply that strategies are necessary to discourage screen-based sedentary behavior among all demographic groups, especially among adults who are elderly, unmarried, or unemployed. © 2013 Kaori Ishii et al.

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Ishii, K., Shibata, A., & Oka, K. (2013). Sociodemographic and anthropometric factors associated with screen-based sedentary behavior among Japanese adults: A population-based cross-sectional study. Journal of Epidemiology, 23(5), 382–388. https://doi.org/10.2188/jea.JE20130008

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