Predictors and Health Consequences of Screen-Time Change During Adolescence—1993 Pelotas (Brazil) Birth Cohort Study

Dumith, Samuel Carvalho; Garcia, Leandro Martin Totaro; Silva, Kelly Samara da; Menezes, Ana Maria Baptista

doi:10.1016/j.jadohealth.2012.06.025

Cited by 38 publications

(46 citation statements)

References 37 publications

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“…There was a high prevalence of adolescents who did screen-related activities for more than two hours daily, corroborating other findings 3,7,13 . When considering the sedentary activities separately, it was observed that the prevalence of each one differs according to gender, age and SES.…”

Section: Discussionsupporting

confidence: 89%

“…There is also indication that this behavior increases throughout adolescence. For example, in a longitudinal study with 4,218 adolescents, an average increase of 60 minutes/ day per year in the screen time in adolescents aged 11 and 15 years was observed; and this increase was associated with body adiposity 7 . In addition, this behavior is more likely to continue into adulthood 8 .…”

Section: Introductionmentioning

confidence: 99%

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Percepção de segurança no bairro e tempo despendido em frente à tela por adolescentes de Curitiba, Brasil

Prado

Rech

Hino

et al. 2017

Rev. bras. epidemiol.

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ABSTRACT:Objective: To analyze the association between perceptions of neighborhood safety (PNS) and screen time among adolescents and to assess the moderating effects of sex, age and socioeconomic status. Methods: A cross-sectional study with school survey was conducted in Curitiba, Brazil. First, six schools (three public and three private) were intentionally selected. Next, one class within each educational level (from the sixth year of elementary school to the third year of high school) was randomly selected. PNS was assessed using a NEWS-Y scale, and daily screen time was defined as the time spent watching TV/videos/ DVDs, playing video games and using the Internet. Multinomial logistic regression models were used to test the association between PNS and screen time, adjusting for the confounding variables. Results: The sample included 776 adolescents (boys and girls), aged between 11 and 18 years old. Perceived crime was associated with time playing video games among older teenagers (p < 0.05). Pedestrian and traffic safety was inversely associated with time playing video games among adolescents with high socioeconomic status (p < 0.05). Conclusion:The association between PNS and screen time is complex among adolescents and varies according to sociodemographic variables and the screen time outcome (TV/videos/DVDs, video games and the Internet).

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Percepção de segurança no bairro e tempo despendido em frente à tela por adolescentes de Curitiba, Brasil

Prado

Rech

Hino

et al. 2017

Rev. bras. epidemiol.

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show abstract

“…Cross-sectional studies of watching television and computer use in children and adolescents indicate that children who spend more time watching television are more likely to be overweight or obese and also to be less physically active (19,30,48,49). In general, screen time is important contribution to the overall time spent indulging in sedentary behaviour.…”

Section: Public Health Implicationsmentioning

confidence: 99%

“…Some studies reported a consistent amount of the total time spent sitting in front of a television or a computer, and they reveal that the time spent watching television was replaced by time spent using a computer (28,29). Other studies found an increase in the time spent sitting in front of a television or computer (30)(31)(32). Further analyses that use the same methodology in different countries are needed to facilitate sound comparisons between countries.…”

Section: Introductionmentioning

confidence: 99%

Trends in Screen Time Behaviours in Czech Schoolchildren between 2002 and 2014: HBSC Study.

Sigmundová¹,

Sigmund²,

Bucksch³

et al. 2017

Cent Eur J Public Health

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SUMMARYObjective: Screen-based behaviours such as watching television or computer use are among the most prevalent sedentary behaviours adolescents spend time on. There is a lack of recent estimates on prevalence and changes in the amount of time spent on screen-based behaviour across Central and Eastern Europe. The main aim is to assess the trends in the prevalence of current recommendations for the screen time ( Conclusions: As screen time is an important indicator of time spent in a sedentary way, our findings call for more interventions to reduce the time that school-aged children spend in front of screens.

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“…Dumith et al provide more information on the predictors and health consequences of screen time during adolescence. Screen time increased from 11 to 15 years of age, particularly among boys and high-income adolescents [9]. This increase in screen time predicted adiposity in this cohort.…”

mentioning

confidence: 72%

Prospective Findings From the 1993 Pelotas (Brazil) Birth Cohort Study

Hallal¹,

Irwin²

2012

Journal of Adolescent Health

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EditorialProspective Findings From the 1993 Pelotas (Brazil) Birth Cohort Study This supplement to the Journal of Adolescent Health is devoted to understanding the health and well-being of adolescents by taking the long view of this period of the life cycle. The articles herein analyze data collected from conception through age 15 from 4,500 individuals born in the city of Pelotas, Brazil, in 1993. The analyses provide us with not just a snapshot of adolescents' current health status, but rather an entire movie depicting the life-course trajectories and the emergence of health outcomes of this population during adolescence.The first four articles of the supplement focus on early-life predictors of later health and behavior [1][2][3][4]. Wells et al show that infant weight and length gains were associated primarily with larger size in adolescence rather than increased adiposity, although later childhood gains in weight and height were predictors of fat mass [1]. In the second article, MartÎnez-Mesa et al report that maternal smoking during pregnancy negatively affects an offspring's height in adolescence [2]. The third and fourth articles report on the effect of socioeconomic change from birth to adolescence [3,4]. Hallal et al show that adolescents born to high-income families had half the odds of walking or cycling to school compared with those whose families became wealthy during adolescence, suggesting that the habit of commuting to school under one's own power was "built" early in life [3]. Anselmi et al examine the influence of poverty on mental health, showing that both persistent poverty and becoming poor over time were associated with a greater likelihood of developing conduct disorders in adolescence [4].The next three articles focus on the health effects of behavioral changes during adolescence [5][6][7]. Menezes et al report a positive association between self-reported physical activity practice in adolescence and effort-dependent lung function, particularly among girls [5]. In contrast, Rombaldi et al show that too much time dedicated to physical activity (Ͼ 1,000 min/wk) may jeopardize school performance [6]. In addition, Noal et al report that the prevalence of wheezing at 15 years of age was 53% greater among obese versus nonobese adolescents [7].The next three articles further explore environmental factors that influence obesity and perceptions of obesity from the perspective of parents and adolescents [8 -10]. AssunÈÄo et al explore predictors of nutritional status change, finding that low-income girls were more likely than high-income girls to become obese from 11 to 15 years, and that high-income boys were more likely than low-income boys to cease being obese during adolescence [8]. Body mass index tracked strongly during adolescence, suggesting that interventions need to start as early as possible. Dumith et al provide more information on the predictors and health consequences of screen time during adolescence. Screen time increased from 11 to 15 years of age, particularly among boys and high...

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Predictors and Health Consequences of Screen-Time Change During Adolescence—1993 Pelotas (Brazil) Birth Cohort Study

Cited by 38 publications

References 37 publications

Percepção de segurança no bairro e tempo despendido em frente à tela por adolescentes de Curitiba, Brasil

Percepção de segurança no bairro e tempo despendido em frente à tela por adolescentes de Curitiba, Brasil

Trends in Screen Time Behaviours in Czech Schoolchildren between 2002 and 2014: HBSC Study.

Prospective Findings From the 1993 Pelotas (Brazil) Birth Cohort Study

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