Overweight in Children and Adolescents Associated with TV Viewing and Parental Weight. Project HeartBeat!

School of Public Health, Division of Epidemiology and Community Health, University of Minnesota, 1300 South Second Street, Minneapolis, MN 55454, USA.
American journal of preventive medicine (Impact Factor: 4.53). 08/2009; 37(1 Suppl):S50-5. DOI: 10.1016/j.amepre.2009.04.017
Source: PubMed


Parental obesity and TV viewing are risk factors for childhood obesity. This study assessed the association of children's TV viewing and computer use with body mass and examined whether parental weight status modified the association.
Cross-sectional associations of parental weight status, hours of TV viewing and computer use, and children's body composition were studied in a subsample of 526 black and nonblack children, aged 8, 11, and 14 years at baseline, enrolled in Project HeartBeat!, a longitudinal study of cardiovascular disease risk factors, 1991-1995. BMI, fat-free mass (FFM), and percent body fat (PBF) were calculated from children's body composition measured at baseline. Children's TV viewing and computer use habits and parental height and weight were self-reported. Multivariate regression analysis was used in assessing inter-relations of parental weight status and child's TV viewing and computer use habits with BMI, FFM, PBF, and risk for overweight status (BMI > or =85th percentile), adjusting for age, gender, race, and Tanner stage.
Children of one or two overweight/obese parents watched an average of 22+/-6 minutes or 30+/-11 minutes more TV per day than children of normal-weight parents, respectively (both p<0.01). In multivariate regression analyses, BMI and PBF increased significantly by 0.42 kg/m(2) and 1.14% (both p<0.001), respectively, for each hour of TV watched among children with overweight parents, but not for those with normal-weight parents (p(interaction)<0.05). Similar results were observed for total screen time.
These study findings are consistent with a genetic contribution of parental weight; however, overweight/obese parents may also exhibit behavior patterns that negatively influence children's TV viewing and have an impact on child overweight status. The effect of parental BMI on children's BMI may have both a genetic and an environmental linkage.

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    • "Sedentary behavior has been shown to be associated with higher BMI, weight gain and adiposity in children and adolescents [48]. Greater TV, computer, video game and other media exposure time in children is increasing and is associated with adverse health outcomes such as becoming overweight [49] . A range of indicators of sedentary lifestyle, such as TV watching, especially during the meals, and the presence of a TV in the child's bedroom , has been reported to be associated with overweight and obesity [35, 40,505152. "
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    ABSTRACT: Background Until recently increasing prevalence of overweight and obesity among pediatric population in Europe and worldwide contributes to major well-known risks for metabolic consequences in later life. The aim of this study was to determine the prevalence of overweight/obesity among children and adolescents in Lithuania and assess its association with energy balance related behaviors as well as familial demographic and socioeconomic factors. Methods Cross-sectional study included 3990 7–17 years old schoolchildren from 40 schools of Kaunas region, Lithuania. Study participants underwent anthropometric measurements. Body mass index (BMI) was evaluated according to International Obesity Task Force (IOTF) criteria for children and adolescents. Children and adolescents and their parents filled in the questionnaires on parental sociodemographic characteristics, dietary habits, TV watching time, and family socioeconomic status. Results The prevalence of underweight, overweight, and obesity among boys and girls was 6.9 and 11.7 % (P < 0.05), 12.6 and 12.6 % (P > 0.05), and 4.9 and 3.4 % (P < 0.05), respectively. Obesity was significantly more prevalent in the 7–9 years old group (6.7 and 4.8 % in boys and girls, respectively, P < 0.05). Lower meals frequency and breakfast skipping were directly associated with overweight/obesity (P < 0.05); however, physical inactivity was not associated with higher BMI. Children‘s overweight/obesity was directly associated with lower paternal education and unemployment (OR 1.30, P = 0.013 and OR 1.56, P = 0.003, respectively). Conclusions The prevalence of overweight and obesity among 7–17 years old Lithuanian children and adolescents was more prevalent in younger age, still being one of the lowest across the European countries. Meals frequency, breakfast skipping, paternal education and unemployment as well as a family history of arterial hypertension were found to be associated with children’s and adolescents’ overweight/obesity.
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    • "Research has also found that in children with overweight parents, a greater length of time spent by parents watching television or using the computer is associated with an increased likelihood of children being overweight. However, no significant association was observed when parents were not overweight [26]. In the present study, we found that after controlling for parent's overweight, television viewing or computer use remained significantly associated with BMI trajectories, confirming the negative impact of frequent television viewing and computer use on BMI trajectory. "
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    ABSTRACT: This study explored developmental trajectory patterns of BMI and associated factors. Participants included 1,609 students who were followed from age 7 to 12 years. Data collection involved annual self-administered questionnaires and records of height and weight. An ecological model was used to identify the factors associated with BMI trajectories. Group-based trajectory models and multinomial logit models were used in the statistical analysis. There were gender differences in BMI trajectories. Among boys, four BMI trajectories were normal or slightly underweight, persistently normal weight, overweight becoming obese, and persistently obese. Among girls, four BMI trajectories were persistently slightly underweight, persistently normal weight, persistently overweight, and persistently obese. The mean BMI in each trajectory group demonstrated an upward trend over time. In boys, BMI trajectories were significantly associated with after-school exercise, academic performance, family interactions, overweight parents, and father's education level. In girls, BMI trajectories were significantly associated with television viewing or computer use, family interactions, peer interactions, and overweight parents. Children under age 7 years who are already overweight or obese are an important target for interventions. The different factors associated with BMI trajectories can be used for targeting high risk groups.
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    • "In contrast, other studies showed that high socioeconomic status exhibited a great with being overweight than low socioeconomic status [38,39]. Overweight parents affect children's television viewing, and that parental overweight had a positive influence on the child being overweight [11] and watching television was related to adult obesity [40]. Children who skipped breakfast [13], had a high energy intake [17,18], and were exposed to parental smoking [7,17] were more likely to be overweight and obese. "
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