Purpose. To examine sedentary behaviours (including television viewing, playing computer games and computer use), diet, exercise and fitness in relation to overweight/obesity in Australian adolescents. Methods. Questionnaires elicited food frequency data, time spent in TV viewing, using computers, other sedentary occupations and physical activity recall. Weight, height and fitness (laps completed in the Leger test) were measured. Results. Among 281 boys and 321 girls, mean age 12 years (SD 0.9), 56 boys (20.0%) and 70 girls (23.3%) were overweight/obese. Greater fitness was associated with decreased risk of overweight/obesity in boys (Odds ratio [OR] 0.74; 95% CI 0.55, 0.99) and girls (OR 0.93; 95% CI 0.91, 0.99). TV-viewing predicted increased risk in boys (OR 1.04; 95'% CI 1.01, 1.06) and decreased risk in girls (OR 0.99; 95% CI 0.96, 0.99). Computer use, video games, and other sedentary behaviours were not significantly related to risk of overweight/obesity. Vegetable intake was associated with lower risk in boys (OR 0.98; 95% CI 0.97, 0.99); greater risk was associated with lower fat intake in boys and girls, lower consumption of energy-dense snacks in boys (OR 0.74; 95% CI 0.62, 0.88) and greater intake of vegetables in girls (OR 1.02; 95% CI 1.00, 1.03), suggesting dieting or knowledge of favourable dietary choices in overweight/obese children. Conclusions. Among these adolescents, fitness was negatively related to risk for overweight/obesity in boys and girls. TV-viewing was a positive predictor in boys and a negative predictor in girls but the effect size was small; other sedentary behaviours did not predict risk. Read more...

In-game advertising has become a major advertising outlet. The current study examined the effect of brand names placed in video games on college students' memory. Both implicit and explicit memory for brands placed in two sports computer games were tested using a word-fragment test and a recognition task, respectively. The results indicated that college students had low levels of explicit memory (recognition test) for the brands, but they showed implicit memory (word-fragment test) for the brand names placed in the video games. Read more...

Objectives: Excessive 'screen time' has been associated with a range of psychosocial disturbances and increasing pediatric obesity. This study describes the magnitude, distribution, composition and time-distribution of children's screen use; examines correlates of screen use; and characterises 'extreme' screen users (top quartile). Methods: 1,039 South Australian children aged 10-13 years old completed a multimedia 24-hour activity recall diary on 2-4 occasions in 2002, including at least one school day and one non-school day. Results: The median screen time was 229 minutes.d(-1). This was higher in boys (264 vs. 196 minutes; p < 0.001) and on non-school days (260 vs. 190 minutes; p < 0.001), increased with age (p=0.003), and decreased with socio-economic status (SES; p=0.003). Television consumed 73% of all screen time, video games 19%, non-game computer use 6%, and cinema 2%. The top quartile of screen users were more likely to be boys (OR=3.8), have low physical activity (OR=4.3), spend > 25% of screen time playing video games (OR=1.8), sleep less, and be of lower SES. Conclusions and Implications: Interventions to reduce screen time should target inactive, low-SES boys, encourage earlier bedtimes, and limit video game use. Read more...

In this longitudinal study, we examined the relationship between changes in time spent watching television and playing video games with frequency of leisure-time physical activity across a 2-year period among adolescent boys and girls (N = 4594). Latent growth modelling indicated that a decrease in time spent watching television was associated with an increase in frequency of leisure-time physical activity. That relationship was strong in magnitude and independent of sex, socioeconomic status, smoking, and the value participants placed on health, appearance, and achievement. Our results encourage the design of interventions that reduce television watching as a possible means of increasing adolescent physical activity. Read more...

Purpose: To evaluate the relationships between the time spent on sedentary activities (computer usage, video game playing, television viewing, and reading) and physical inactivity in a sample of youth (aged 12-19 years) from the 2000-2001 Canadian Community Health Survey. Methods: The study sample included 7982 youth (4034 males, 3948 females) across Canada (mean age: 15.61 years, SD: 2.23 years). Weekly time spent on computers, video games, television, and reading during leisure-time was obtained through self-reported questionnaires. Physical inactivity was determined by respondents' daily energy expenditure assessed through a physical activity questionnaire. Multivariate logistic regression analysis was conducted to examine the relationship between sedentary activities and physical inactivity respectively by gender. Sociodemographic variables, health status, and overweight status were controlled in the analysis. Results: A substantial proportion of Canadian youth was inactive: 50.3% of males and 67.8% of females. Controlling for sociodemographic variables, health status, and body mass index, television viewing was significantly associated with physical inactivity for both males and females regardless of their overweight status. However, computer usage was associated with physical activity among males, and reading was associated with physical activity among females. Conclusions: There is a complex inter-relationship between sedentary behaviors and physical inactivity, highlighting the need for targeted interventions addressing patterns of sedentary behavior engagement. Reducing time spent on television viewing may be one plausible strategy within such interventions in reducing physical inactivity among youth. Read more...

Objective To conduct a population-based survey of television and other media usage in young children to determine (1) total media usage; (2) the proportion of children who have televisions in their bedrooms and who eat breakfast or dinner in front of the television; and (3) predictors of parental concern about the amount of television their child watches. Study design Telephone survey administered to 1454 parents of children <11 years old derived from a diverse clinic population. Results The mean age of the index child was 5.05 years. Mean daily reported child media use was as follows: television (1.45 hours; SD, 1.5); videos (1.1 hours; SD, 1.30); and computer games (0.54 hours; SD, 0.96). Thirty percent of parents reported that their child ate breakfast or dinner in front of the television in the past week, and 22% were concerned about the amount of television that their child watched. In multivariate linear regression, eating breakfast or dinner in front of the television in the past week was associated with increased hours of television viewing (0.38 hours [0.21, 0.54]) and video (0.19 hours [0.04, 0.34]). Having a television in a child's bedroom was associated with increased hours of television (0.25 hours [0.07, 0.43]), video viewing (0.31 hours [0.16, 0.47]), and computer games (0.21 hours [0.10, 0.32]). In general, higher parental education was associated with decreased hours of television and video but not computer games. Older children were 2 to 3 times more likely than younger children to have a television in their bedroom and to have eaten a meal in front of it in the past week. More educated parents were less likely to report that their child had a television in their bedroom and more likely to be concerned about the amount of television their child viewed. Conclusions Combined video and computer game usage exceeded television usage. Both children of low- and high-income parents are at risk for certain behaviors associated with television usage. Parents whose children watched more television were more likely to be concerned about the amount of television their child viewed. Read more...