Television watching, videogames, and excess of body fat in Spanish adolescents: The AVENA study (original) (raw)
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Screen time and adiposity in adolescents in Mexico
Public Health Nutrition, 2009
Objective: To assess the association of time spent viewing television, videos and video games with measures of fat mass (BMI) and distribution (triceps and subscapular skinfold thicknesses (TSF, SSF)). Design: Cross-sectional validated survey, self-administered to students to assess screen time (television, videos and video games) and lifestyle variables. Trained personnel obtained anthropometry. The association of screen time with fat mass and distribution, stratified by sex, was modelled with multivariable linear regression analysis, adjusting for potential confounders and correlation of observations within schools. Setting: State of Morelos, Mexico. Subjects: Males (n 3519) and females (n 5613) aged 11 to 18 years attending urban and rural schools in Morelos. Results: In males, screen time of .5 h/d compared with ,2 h/d was significantly associated with a 0?13 (95 % CI 0?04, 0?23) higher BMI Z-score, 0?73 mm (95 % CI 0?24, 1?22) higher SSF and 1?08 mm (95 % CI 0?36, 1?81) higher TSF. The positive association of screen time with SSF was strongest in males aged 11-12 years. Sexual maturity appeared to modify the association in females; a positive association between screen time and SSF was observed in those who had not undergone menarche (P for trend 5 0?04) but not among sexually mature females (P for trend 5 0?75). Conclusion: Screen time is associated with fat mass and distribution among adolescent males in Mexico. Maturational tempo appears to affect the relationship of screen time with adiposity in boys and girls. Findings suggest that obesity preventive interventions in the Mexican context should explore strategies to reduce screen time among youths in early adolescence.
Obesity, physical activity, computer use, and TV viewing in Portuguese adolescents
Pediatric exercise …, 2006
This study aimed to examine the relationship between obesity status (body mass index: BMI) and physical and sedentary activities in adolescents. The sample comprised 230 girls and 220 boys (14.6 years old, SD = 1.6). Physical Activity (PA) was assessed by a questionnaire. Sedentary behaviors, such as TV viewing, computer use, and commuting to and from school were analyzed. Participants were categorized as nonobese or overweight/obese according to age-adapted BMI. No significant differences were found in relation to PA characteristics or in TV watching on weekdays vs. weekends. Nonobese participants spent significantly less time using computers on weekends (p = .04) and weekdays (p = .025) than their overweight/obese counterparts. Logistic regression analysis showed that those who used computers on weekdays more than 4 hrs per day were likely (odds ratio: 5.79; p < .003) to be overweight/obese. This study identified a relationship between computer use, but not physical activity or TV viewing, and weight status among Portuguese adolescents.
International Journal of Obesity, 1999
OBJECTIVE: To assess the association of physical activity, television program viewing and other forms of video viewing with the prevalence of obesity among school children. DESIGN: Cross-sectional study. SUBJECTS: 712 children, 9 ± 16 y old, from a low-and a middle-income town in the Mexico City area. MEASUREMENTS: Children completed a self administered questionnaire to assess time spent in physical activity and television viewing, and diet. Height weight and triceps skinfolds were measured. The outcome variable was obesity, and the covariates were hours of television programs and other video viewing, physical activity, energy intake, percentage of energy from fat, town of location of school, age, gender and perception of mother's weight status. RESULTS: Among 461 children with complete information, 24% were classi®ed as obese. Children reported an average of 4.1 AE 2.2 had watching television (2.4 AE 1.5 had for TV programs and 1.7 AE 1.5 had for video cassette recorder (VCR) or videogames), and 1.8 AE 1.3 had in moderate and vigorous physical activities. Odds ratios (OR) of obesity were 12% higher for each hour of television program viewing per day (OR 1.12, 95% con®dence interval (CI) 1.02, ± 1.22), and 10% lower for each hour of moderateavigorous physical activity per day (OR 0.90, 95% CI 0.83 ± 0:98), controlling for age, gender, town and perception of mother's weight status. Children in the middle-income town had higher adjusted odds of obesity (OR 2.58, 95% CI 1.47 ± 4.54). CONCLUSION: Physical activity and television viewing, but not VCRavideogames use, were related to obesity prevalence in Mexican children 9 ± 16 y old.
Television viewing habits and their influence on physical activity and childhood overweight
Jornal de Pediatria, 2015
Objectives: To assess the prevalence of television (TV) viewing habits and their association with childhood sedentary lifestyle and overweight in 8-year-old children, from a cohort in a city in Southern Brazil. Methods: A prospective cohort study with hospital screening of all births that occurred from September of 2002 to May of 2003. This study refers to a cross-sectional analysis of data collected during the cohort's follow-up conducted at 8 years of age. To evaluate the level of physical activity, a physical activity questionnaire for children and adolescents was used (PAQ-C), during the consultation at 8 years of age. Results: Of the 616 interviewed children, a prevalence of sedentary lifestyle > 70% was found, as well as the habit of watching TV for more than two hours a day in 60% of the sample, regardless of gender (p = 0.30), income (p = 0.57), or family socioeconomic level (p = 0.90). The daily time spent watching TV was inversely associated with physical activity (p < 0.05) and positively associated with excess weight (p < 0.01). Regarding physical activity, running was the most frequently practiced sports modality among the population. Conclusions: Considering the high prevalence of sedentary lifestyle and children who watch TV for an excessive period of time, it is necessary to motivate such individuals to perform interactive activities, as well as promote a more active lifestyle, by decreasing the time children spend in front of the TV.
Time spent watching television, sleep duration and obesity in adults living in Valencia, Spain
International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity, 2000
To analyse the association of time watching television (TV) and physical activity with obesity in the Mediterranean area of Spain with the highest prevalence of obesity. Cross-sectional study. Valencia Region in Spain. A representative sample of 814 men and 958 women, aged 15 y and older, participating in a Health and Nutrition Survey conducted in 1994. Height and weight were directly measured during home interviews. The outcome measure was obesity, defined as a body mass index > or = 30 kg/m2. Covariates were self-reported hours of TV viewing, physical activity habits, sleeping duration, age, gender, educational level, smoking and marital status. Prevalence odds ratios (POR) estimated by logistic regression were used as effect measures. Obese people reported to spend more time watching TV (mean +/- s.d.: 3.6 +/- 1.5 h/day) than non-obese ones (3.0 +/- 1.4 h/day), and less sleeping time. In multivariate analysis, obesity was associated with TV viewing, sleeping time and physical ...
Combined Influence of Lifestyle Risk Factors on Body Fat in Spanish Adolescents – the AVENA Study
Obesity Facts, 2011
Objective: To examine the combined influence of four lifestyle risk factors related to physical activity, television viewing, sleep duration, and meal frequency on body fat (BF) in adolescents. Method: This cross-sectional study comprised 1,310 Spanish adolescents (age 13-18.5 years). Lifestyle variables were self-reported and BF indicators (weight, height, six skinfold thicknesses, waist circumference) measured during the years 2000-2002. Lifestyle risk factors were: physically inactive, 3 h/day watching television, <8 h/day sleep duration, and <5 meals a day. The number of lifestyle risk factors was calculated for each participant, ranging from 0 to 4. Results: The number of lifestyle risk factors was positively associated with sum of six skinfolds, %BF, waist circumference, and waist-height ratio (all p < 0.001). The odds ratios (95% confidence interval) of overweight (including obesity) for groups with 1, 2, and 3-4 lifestyle risk factors compared with those with 0 were 2.86 (1.77-4.62), 3.61 (2.16-6.04), and 5.81 (3.07-10.99), respectively (p for trend <0.001). All the observations were independent of age, gender, race, socioeconomic status, and fat free mass. Conclusion: The combined influence of four lifestyle risk factors is positively associated with BF and an approximately sixfold risk of overweight in adolescents.
Teens and Screens: The Influence of Screen Time on Adiposity in Adolescents
American Journal of Epidemiology, 2010
The effect of screen time during secondary school on percent body fat was examined in a cohort of 744 Canadian adolescents aged 12-13 years at baseline. Participants completed self-reported questionnaires on television viewing and computer use in 19 survey cycles over 57 months from 1999 to 2005. Triceps skinfold thickness and subscapular skinfold thickness were measured in survey cycles 1 and 19. Four screen-time trajectory groups identified in growth mixture modeling included steady-low screen time (73% of the sample), steady-high (10%), increasers (9%), and decreasers (8%). The effect of screen-time trajectory on percent body fat at survey cycle 19 was modeled in boys and girls separately by using linear regression, adjusting for baseline percent body fat and physical activity. Relative to that of steady-low screen-time trajectory group boys, percent body fat was 2.9 (95% confidence interval: 0.7, 5.0) and 2.4 (95% confidence interval: 0.5, 4.2) percentage units higher on average among ''increasers'' and ''steady-high'' trajectory group boys, respectively. There was no evidence that screen time has an effect on percent body fat in girls overall, although physical activity modified the association between screen time and percent body fat in both sexes. Efforts to prevent obesity in youth should emphasize reducing screen time.
Original Contribution Teens and Screens: The Influence of Screen Time on Adiposity in Adolescents
The effect of screen time during secondary school on percent body fat was examined in a cohort of 744 Canadian adolescents aged 12-13 years at baseline. Participants completed self-reported questionnaires on television viewing and computer use in 19 survey cycles over 57 months from 1999 to 2005. Triceps skinfold thickness and subscapular skinfold thickness were measured in survey cycles 1 and 19. Four screen-time trajectory groups identified in growth mixture modeling included steady-low screen time (73% of the sample), steady-high (10%), increasers (9%), and decreasers (8%). The effect of screen-time trajectory on percent body fat at survey cycle 19 was modeled in boys and girls separately by using linear regression, adjusting for baseline percent body fat and physical activity. Relative to that of steady-low screen-time trajectory group boys, percent body fat was 2.9 (95% confidence interval: 0.7, 5.0) and 2.4 (95% confidence interval: 0.5, 4.2) percentage units higher on average among ''increasers'' and ''steady-high'' trajectory group boys, respectively. There was no evidence that screen time has an effect on percent body fat in girls overall, although physical activity modified the association between screen time and percent body fat in both sexes. Efforts to prevent obesity in youth should emphasize reducing screen time.