Cross-sectional associations between screen time and the selected lifestyle behaviors in adolescents

Abstract

BackgroundIn adolescents, excessive screen time leads to many adverse health outcomes and is associated with a variety of lifestyle behaviors. This study was conducted to investigate the associations between the two types of screen time and a variety of lifestyle behaviors in American adolescents.MethodsBased on the Youth Risk Behavior Surveillance System, this cross-sectional study was conducted. With the help of data collectors, participants self-reported screening time, lifestyle behaviors, and demographic data via well-validated tools.Results19% and 43.4% of the participants spent more than two hours a day watching television and using the computer, respectively, while the prevalence of physical inactivity and insufficient sleep was 75.1 and 74.4% respectively. Furthermore, 11.9, 7.3, 14.3, and 21.3% of the participants reported skipping fruits, vegetables, breakfast and milk, respectively. Moreover, the prevalence of alcohol and tobacco consumption and sexual activity was 26.8, 5.3, and 23.5% respectively. More than two hours of television time was significantly associated with high risks of fewer frequency for eating fruit (OR = 1.605, 95%CI: 1.308–1.970), vegetables (OR = 1.389, 95%CI: 1.029–1.873), and smoking (OR = 1.465, 95%CI: 1.088–1.972). Computer/video time for more than two hours was significantly associated with high risks of physical inactivity (OR = 1.724, 95%CI: 1.531–1.941), insufficient sleep (OR = 1.354, 95%CI: 1.151–1.592), and not eating fruit (OR = 1.434, 95%CI: 1.179–1.745).ConclusionIncreased screen time may be associated with specific unhealthy lifestyle behaviors in adolescents. Furthermore, the associations between different types of screen time and various lifestyle behaviors varied.

Lifestyle and fruit consumption: an investigation of university students in Uganda

“…This is probably due to students taking these fruits as snacks having been preoccupied with video games, which hinders their urge to prepare meals or look for already prepared meals at the time. This result contradicts Fan et al [51] who stated that the more adolescents played video games, the less fruits they consumed. The nding, likewise, implies that the more a student does house chores the more they eat fruits.…”

Factores asociados a la inactividad física en adolescentes colombianos: Estudio transversal

“…La literatura también indica asociación de la inactividad física con los niveles socioeconómicos 20 , en nuestro caso los estratos bajos tienen menos probabilidad de inactividad (ORa=0,59; IC 95% 0,44 -0,79). Otros estudios mostraron que las actividades sedentarias como observar televisión por más de dos horas diarias incrementaba los riesgos de consumo de alcohol, fumar y presentar inactividad física 21 . Este estudio encontró que el consumo de licor (ORa=2,62; IC 95% 1,77 -3,87) y cafeína (ORa=1,59; IC 95% 1,19 -2,12) aumenta el riesgo de inactividad física.…”

Association between screen-time use and cardiometabolic-related lifestyle characteristics, in Greek young adults

“…This association was also supported when the quality of life score was assessed in adolescents, with quality showing negative associations with higher screen time and positive with higher physical activity 27 . Increased screen time (and television screen time in particular) was positively associated with higher risk of smoking in a cross-sectional study which was conducted in adolescent, when television screen was >2 hours/day 28 . In addition to the above, a study that was also conducted in adolescents, found that smoking was positively associated with problematic use of internet and as a possible predictor for internet addiction 29 .…”