This research was a correlational study that looked at how the magnitude, components and time distribution of screen time relate to socioeconomic status, gender, age and level of fatness in Australian children aged ten to thirteen years old. The study aimed to look at how time is used differently between high and low screen users and the effect of this on sleep and exercise. Another purpose was to determine the features of ‘extreme’ screen uses with the hope of using this to create interventions. The key terminology is given and a Screen is defined as any television, computer monitor, cinema or video game screen (Olds,Ridley & Dollman, 2006.). There was no research hypothesis given.
This study acknowledges previous research around screen …show more content…
The higher a socioeconomic background a child came from the smaller the screen viewing time. There was a relationship between increased screen time and a higher Body Mass Index measurement but it was not statistically significant. Every hour of extra screen time was associated with 13 minutes less in moderate to vigorous physical activity (MVPA). There was a negative relationship between screen time and sleep. Extreme users were the top 25% of screen users and spent more than 300 minutes per day looking at a screen. Extreme screen users were more likely to be boys, do limited physical exercise, be from lower socioeconomic backgrounds, get less sleep than other children and spend a significant proportion of their screen time playing video games. There was no hypothesis given in the introduction, so it is difficult to say whether these results were what the researchers were expecting. The graphs could be more clearly laid out with better labelling of the axis and titles although they are explained
This study acknowledges previous research around screen …show more content…
The higher a socioeconomic background a child came from the smaller the screen viewing time. There was a relationship between increased screen time and a higher Body Mass Index measurement but it was not statistically significant. Every hour of extra screen time was associated with 13 minutes less in moderate to vigorous physical activity (MVPA). There was a negative relationship between screen time and sleep. Extreme users were the top 25% of screen users and spent more than 300 minutes per day looking at a screen. Extreme screen users were more likely to be boys, do limited physical exercise, be from lower socioeconomic backgrounds, get less sleep than other children and spend a significant proportion of their screen time playing video games. There was no hypothesis given in the introduction, so it is difficult to say whether these results were what the researchers were expecting. The graphs could be more clearly laid out with better labelling of the axis and titles although they are explained