The Association of Screen Time, Television in the Bedroom, and Obesity Among School-Aged Youth: 2007 National Survey of Children's Health.
ABSTRACT Among school-aged youth, we sought to identify characteristics associated with (1) exceeding screen time recommendations (ie, television/videos/video games more than 2 hours/weekday), and (2) exceeding screen time recommendations, the presence of a television in the bedroom, and obesity.
Using 2007 National Survey of Children's Health data, we used multivariable logistic regression to identify sociodemographic and behavioral characteristics associated with excessive screen time among 6 to 11- and 12 to 17-year-olds on a typical weekday. For 12 to 17-year-olds only, we used logistic regression to examine the odds of obesity using the same variables as above, with the addition of screen time.
Overall, 20.8% of 6 to 11-year-olds and 26.1% of 12 to 17-year-olds had excessive screen time. For both age groups, having a bedroom TV was significantly associated with excessive screen time. For the older age group, the dual scenario of excessive screen time with a bedroom TV had the strongest association with obesity (OR = 2.5, 95% CI 1.9, 3.2).
Given the similar risk factors for excess screen time and having a TV in the bedroom, a public health challenge exists to design interventions to reduce screen time among school-aged youth.
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ABSTRACT: Background There are limited data available on the longitudinal relationship between candy consumption by children on weight and other cardiovascular risk factors (CVRF) in young adults. The present study investigated whether candy consumption in children was predictive of weight and CVRF in young adults. MethodsA longitudinal sample of children 10 years (n = 355; 61% females; 71% European-Americans, 29% African-Americans) who participated in cross-sectional surveys from 1973 to 1984 (baseline) and in one of two surveys (follow-ups) as young adults [19–38 years; mean (SD) = 23.6 (2.6) years] in Bogalusa, LA, were studied. Dietary data were collected using 24-h dietary recalls at baseline and at one follow-up survey; a food frequency questionnaire was used in the other follow-up survey. Candy consumers were those consuming any amount of candy. Candy consumption was calculated (g day–1) from baseline 24-h dietary recalls, and was used as a covariate in the adjusted linear mixed models. Dependent variables included body mass index (BMI) and CVRF measured in young adults. ResultsAt baseline, 92% of children reported consuming candy [46 (45) g day–1]; the percentage decreased to 67% [20 (30) g day–1] at follow-up. No longitudinal relationship was shown between baseline candy consumption and BMI or CVRF in young adults, suggesting that candy consumption was not predictive of health risks later in life. Conclusions The consumption of nutrient rich foods consistent with dietary recommendations is important, although modest amounts of candy can be added to the diet without potential adverse long-term consequences to weight or CVRF. Additional studies are needed to confirm these results.Journal of Human Nutrition and Dietetics 12/2013; 28. DOI:10.1111/jhn.12200 · 2.07 Impact Factor
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ABSTRACT: Objective A TV in the bedroom has been associated with screen time in youth. Youth with attention deficit hyperactivity disorder (ADD/ADHD) have higher rates of screen time, but associations with bedroom TVs are unknown in this population. We examined the association of having a bedroom TV with screen time among youth with ADD/ADHD. Methods Data were from the 2007 National Survey of Children's Health. Youth 6–17 years whose parent/guardian reported a physician's diagnosis of ADD/ADHD (n = 7024) were included in the analysis. Parents/guardians reported the presence of a bedroom TV and average weekday TV screen time. Multivariate linear and logistic regression models assessed the effects of a bedroom on screen time. Results Youth with ADD/ADHD engaged in screen time with an average of 149.1 min/weekday and 59% had a TV in their bedroom. Adjusting for child and family characteristics, having a TV in the bedroom was associated with 25 minute higher daily screen time (95% CI: 12.8–37.4 min/day). A bedroom TV was associated with 32% higher odds of engaging in screen time for over 2 h/day (OR = 1.3; 95% CI: 1.0–1.7). Conclusion Future research should explore whether removing TVs from bedrooms reduces screen time among youth with ADD/ADHD.11/2014; 2:1-3. DOI:10.1016/j.pmedr.2014.11.001
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ABSTRACT: Paediatric recommendations to limit children's and adolescents' screen based media use (SBMU) to less than two hours per day appear to have gone unheeded. Given the associated adverse physical and mental health outcomes of SBMU it is understandable that concern is growing worldwide. However, because the majority of studies measuring SBMU have focused on TV viewing, computer use, video game playing, or a combination of these the true extent of total SBMU (including non-sedentary hand held devices) and time spent on specific screen activities remains relatively unknown. This study assesses the amount of time Australian children and adolescents spend on all types of screens and specific screen activities. We administered an online instrument specifically developed to gather data on all types of SBMU and SBMU activities to 2,620 (1373 males and 1247 females) 8 to 16 year olds from 25 Australian government and non-government primary and secondary schools. We found that 45% of 8 year olds to 80% of 16 year olds exceeded the recommended < 2 hours per day for SBMU. A series of hierarchical linear models demonstrated different relationships between the degree to which total SBMU and SBMU on specific activities (TV viewing, Gaming, Social Networking, and Web Use) exceeded the < 2 hours recommendation in relation to sex and age. Current paediatric recommendations pertaining to SBMU may no longer be tenable because screen based media are central in the everyday lives of children and adolescents. In any reappraisal of SBMU exposure times, researchers, educators and health professionals need to take cognizance of the extent to which SBMU differs across specific screen activity, sex, and age.BMC Public Health 01/2015; 15(1):5. DOI:10.1186/1471-2458-15-5 · 2.32 Impact Factor