Search

Objective: To describe time adolescents spend using electronic media (television, computer, video games, and telephone); and to examine associations between self-reported health/well-being and daily time spent using electronic media overall and each type of electronic media., Methods: Design-Cross-sectional data from the third (2005) wave of the Health of Young Victorians Study, an Australian school-based population study. Outcome Measures-Global health, health-related quality of life (HRQoL; KIDSCREEN), health status (Pediatric Quality of Life Inventory 4.0; PedsQL), depression/anxiety (Kessler-10), and behavior problems (Strengths and Difficulties Questionnaire). Exposure Measures-Duration of electronic media use averaged over 1 to 4 days recalled with the Multimedia Activity Recall for Children and Adolescents (MARCA) computerized time-use diary. Analysis-Linear and logistic regression; adjusted for demographic variables and body mass index z score., Results: A total of 925 adolescents (mean +/- standard deviation age, 16.1+/-1.2 years) spent, on average, 3 hours 16 minutes per day using electronic media (television, 128 minutes per day; video games, 35; computers, 19; telephone, 13). High overall electronic media use was associated with poorer behavior, health status, and HRQoL. Associations with duration of specific media exposures were mixed; there was a favorable association between computer use (typing/Internet) and psychological distress, whereas high video game use was associated with poorer health status, HRQoL, global health, and depression/anxiety. Television and telephone durations were not associated with any outcome measure., Conclusions: Despite television's associations with obesity, time spent in other forms of media use appear more strongly related to adolescent health and well-being. This study supports efforts to reduce high video game use and further exploration of the role of computers in health enhancement.

Purpose: A knowledge of how young people use their time could be instrumental in informing health interventions, modeling consumer behaviors, and planning service delivery. The aim of the present study was to describe age- and gender-related patterns in the self-reported use of time on school days in a large sample of Australian children and adolescents aged between 10 and 18 years., Methods: A single, detailed use-of-time diary for a school day was collected from 6024 Australians aged 10-18 from several state and regional surveys conducted in the states of South Australia (SA) and Victoria between 2001 and 2006. Time-use profiles were analyzed for a range of active and sedentary state behaviors., Results: Boys reported higher physical activity levels (PALs), moderate-to-vigorous physical activity (MVPA), and sports than girls. There were no differences in free play, and girls used more active transport. All activity-related variables decreased with age, except active transport, which peaked at 14-15 years. Boys exhibited higher levels of screen time, whereas girls had higher levels of passive transport. Screen time and its components (television, videogames, and computer use) peaked in the peripubertal years., Conclusion: Age- and gender-related patterns of time use vary greatly within adolescence. This may reflect a mix of biological and social factors.

Background: Effective public policy requires information on the prevalence of overweight and obesity., Objective: We determined changes in the population prevalence of overweight and obesity among young Australians (aged 7-15 y) from 1969 to 1985 to 1997., Design: Data from 5 independent population surveys were analyzed: the Australian Youth Fitness Survey, 1969; the Australian Health and Fitness Survey, 1985; the South Australian Schools Fitness and Physical Activity Survey, 1997; the New South Wales Schools Fitness and Physical Activity Survey, 1997; and the Health of Young Victorians Study, 1997. Measured body mass index was used as the index of adiposity, and recently published body mass index cutoff values were used to categorize each subject as nonoverweight, overweight, obese, or either overweight or obese., Results: For 1985-1997, the population prevalence of overweight increased by 60-70%, obesity increased 2-4-fold, and the combined overweight and obesity categories doubled. The findings were consistent across data sets and between the sexes. For 1969-1985, there was no change in the prevalence of overweight or obesity among girls, but among boys the prevalence of overweight increased by 35%, the prevalence of obesity trebled, and the prevalence of overweight and obesity combined increased by 60%., Conclusions: The data show that in 1985-1997, the prevalence of overweight and obesity combined doubled and that of obesity trebled among young Australians, but the increase over the previous 16 y was far smaller. These results should increase our sense of urgency in identifying and implementing effective responses to this major threat to public health.

Purpose: To evaluate a new generic measure of adolescent health status, the self-report version of the Child Health Questionnaire (CHQ), and provide population-based data. Furthermore, we aimed to examine the impact of common adolescent illness and health concerns on their health and well-being., Methods: A stratified, two-stage, random cluster sampling design was used to obtain a cross-sectional sample of subjects through schools. A written questionnaire included the 80-item 12-scale self-report CHQ and items measuring health concerns, illnesses/health conditions, and sociodemographics., Results: A total of 2361 adolescents participated (response rate of 70%). Reliability was high: Tests of internal consistency and discriminant validity reported 90% of item-scale correlations >.4; all scales had Cronbach alpha coefficients >.7. Adolescents with illnesses/conditions or health concerns reported lower scores and larger differences for content-related scales, supporting content and construct validity. Statistically significant age and gender trends were observed for Mental Health, Self-Esteem, General Health, and Family Cohesion scales. Health status worsened as health concerns increased (X(2) linear trend, p =.00) with deterioration in health of 5-20% on all scales for emotional health concerns (40% of sample)., Conclusions: The self-report CHQ is a reliable and seemingly valid measure of health and well-being for adolescent health research, although additional measures may be required where scales have high ceiling values. The significantly lower scores reported by adolescents with illness and/or health concerns lend support to the use of standardized health measures and longitudinal research to further examine the impact of adolescent comorbidities and their causal determinants.

Objectives: To determine the population prevalence of overweight and obesity among Australian children and adolescents, based on measured body mass index (BMI). To determine if overweight and obesity are distributed differentially across the population of young Australians., Methods: Data from three independent surveys were analysed. In each, height and weight were measured by trained surveyors using valid, comparable methods. BMI (kg/m2) was used as the index of adiposity and recently published international BMI cut-off values used to categorise each subject as non-overweight, overweight or obese., Results: The population prevalence and distribution of overweight, obesity and overweight/obesity combined were generally consistent across datasets. The ranges of the prevalence of non-overweight, overweight, obesity and overweight/obesity combined were 79-81%, 14-16%, 5% and 19-21% (boys) respectively and 76-79%, 16-18%, 5-6% and 21-24% (girls). There were no consistent relationships between the prevalence of overweight/obesity and sex, age or SES. Their prevalence was up to 4% higher in urban than rural areas among boys, but there were no differences between urban and rural girls. The data suggest a higher prevalence of overweight/ obesity among students from European or Middle-Eastern cultural backgrounds., Conclusions: Some 19-23% of Australian children and adolescents are either overweight or obese. Although urban/rural, SES and cultural background differentials were noted, only the last warrants a targeted health promotion response., Implications: Overweight/obesity is a prevalent health risk factor among Australian children and adolescents. More information is needed to understand whether targeted approaches are required for specific ethnic groups in addition to broad, population-based approaches.

Objective: To provide reliability, validity and population means for the Australian Authorized Adaptation of the parent-report Child Health Questionnaire (CHQ)., Method: We surveyed a representative sample of Australian parents of school-aged children (5-18 years) in Victoria between July and December 1997, using a school-based cluster sample design stratified by educational sector and age., Results: Some 5,414 parents responded (72%). Good psychometric performance was observed for the CHQ in Australia. Population means demonstrated differences in health on domains of functioning and well-being by age and gender. This population-derived sample demonstrated high ceiling values on Physical Functioning and Social Role scales., Implications: The CHQ appears to be a reliable and valid measure of child and adolescent functional health and well-being for the Australian population. Child health outcomes of children and adolescents with particular conditions or within population subgroups can be compared with these age and gender benchmarks. Appropriate uses for the CHQ may be to discriminate between children who are generally healthy and children with health problems, or in population surveys partnered with measures that extend the range of physical functioning and social functioning.