title: Factors associated with screen time among school-age children in Korea.
abstract: The purpose of this study was to investigate the association of sociodemographic, psychosocial, and behavioral characteristics with screen time among school-age children in Korea. This study employed a nonexperimental, cross-sectional study design. A total of 370 children attending four elementary schools participated in the study. Self-report method was used, and instruments included screen time (time spent on TV/video/computer/video games), sleep duration, eating behavior, pros and cons of exercise, and exercise self-efficacy. According to the results, 45.7% of the children had screen time of 1-2.9 hr/day and 8.9% had 3 or more hr/day. Increased screen time showed an association with gender (boy), higher body mass index, fast food consumption, higher cons of exercise, having a working mother, and attendance at a school in an inner city area (p < .05). Understanding the factors associated with screen time may provide useful information in the development of health promotion programs aimed at decreasing sedentary behaviors.
authors.affiliation: 1Department of Nursing, Inha University, Incheon, Republic of Korea.
authors.forename: Ok Kyung
authors.initials: OK
authors.lastname: Ham
authors.forename: Kyung Mi
authors.initials: KM
authors.lastname: Sung
authors.forename: Hee Kyung
authors.initials: HK
authors.lastname: Kim
mesh_terms: D015992:Body Mass Index; D002648:Child; D002652:Child Behavior / Q000502:physiology*; D003201:Computers / Q000706:statistics & numerical data*; D003430:Cross-Sectional Studies; D015444:Exercise / Q000502:physiology; D005247:Feeding Behavior / Q000502:physiology; D005260:Female; D015438:Health Behavior; D006801:Humans; D008297:Male; D056910:Republic of Korea; D057185:Sedentary Behavior; D017678:Sex Distribution; D012890:Sleep / Q000502:physiology; D012959:Socioeconomic Factors; D013690:Television / Q000706:statistics & numerical data*; D013997:Time Factors; D018910:Video Games / Q000706:statistics & numerical data*
keywords: BMI; children; eating behavior; screen time