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Lia Grego Muniz de Araújo, Bruna Camilo Turi, Bruna Locci, Camila Angélica Asahi Mesquita, Natália Bonicontro Fonsati and Henrique Luiz Monteiro

outside the context of primary health care. Thus, the purpose of this study was to investigate the patterns of PA and screen time among children and adolescents aged 7–12 years, users of Brazilian National Health System (BNHS). Patients and Methods Sample and Sampling This cross-sectional study was

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Pooja S. Tandon, Tyler Sasser, Erin S. Gonzalez, Kathryn B. Whitlock, Dimitri A. Christakis and Mark A. Stein

impulsivity and distractibility 22 , 23 as well as numerous health-risk behaviors. 24 PA is found to improve EF including sustained attention and response inhibition in children with ADHD, which may benefit overall functioning and healthy behaviors. 25 Sedentary activities, such as screen time and sleep

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Hugues Sampasa-Kanyinga and Jean-Philippe Chaput

Background:

Adolescents are recommended to achieve ≥ 60 min/day of moderate-to-vigorous physical activity (PA) and ≤2 h/day of screen time (ST). This study examined the relationships between the use of social networking sites (SNSs) and adherence to PA and ST recommendations in a large sample of Canadian adolescents.

Methods:

This cross-sectional school-based survey included a representative sample of 9388 students in grades 7 to 12 across Ontario, Canada.

Results:

After adjustment for several confounding variables, results showed that male adolescents who use SNSs for fewer hours (≤ 1 h/day) had greater odds of adherence to PA and to both PA and ST recommendations concurrently, while those who use it for more hours (≥ 3 h/day) had lower odds of adherence to the ST recommendation. Female adolescents who use SNSs for more hours had lower odds of adherence to the ST recommendation (use of SNSs ≥ 2 h/day) and to both PA and ST recommendations concurrently (use of SNSs ≥ 5 h/day).

Conclusions:

Heavy use of SNSs has a negative influence on the adherence to the ST recommendation in both males and females; however, infrequent use of SNSs was related to the adherence to the PA recommendation and concurrent adherence to both recommendations in males only.

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Meghan Schreck, Robert Althoff, Meike Bartels, Eco de Geus, Jeremy Sibold, Christine Giummo, David Rubin and James Hudziak

Few studies have explored the relation between withdrawn behavior (WB) and exercise and screen time. The current study used exploratory factor analysis to examine the factor structure of leisure-time exercise behavior (LTEB) and screentime sedentary behavior (STSB) in a clinical sample of youth. Structural equation modeling was employed to investigate the relations between WB and LTEB and STSB, conditional on gender. WB was assessed using the Child Behavior Checklist, and LTEB and STSB were measured using the Vermont Health Behavior Questionnaire. LTEB and STSB emerged as two separate factors. Gender moderated the structure of STSB only. For boys and girls, WB was inversely related to LTEB but not significantly related to STSB. LTEB and STSB are best represented as distinct, uncorrelated constructs. In addition, withdrawn youth may be at risk for poor health outcomes due to lower rates of LTEB. Mental health clinicians, sports psychologists, and related providers may be uniquely qualified to enhance motivation for sports participation in withdrawn youth.

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Katherine L. Downing, Jo Salmon, Anna Timperio, Trina Hinkley, Dylan P. Cliff, Anthony D. Okely and Kylie D. Hesketh

Sedentary behavior refers to activities undertaken in a sitting or lying position and requiring minimal energy expenditure, 1 for example, sitting down watching television (TV) or reading. There is increasing evidence that sedentary behavior, particularly sedentary screen time, is associated with

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Marcus Ngantcha, Eric Janssen, Emmanuelle Godeau, Virginie Ehlinger, Olivier Le-Nezet, François Beck and Stanislas Spilka

recommendations are mostly disregarded. In the United States, school-aged children and adolescents spend around 7 hours per day in front of a screen. 4 In Norway, the average screen time (ST) use was 5.5 hours a day for girls and more than 6.5 hours for boys aged 16–19 years. 5 A study in Brazil showed that

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Diego Augusto Santos Silva, Katie E. Gunnell and Mark Stephen Tremblay

sedentary behavior among adolescents is time spent sitting in front of screens such as the television (TV), video games, and computers [collectively called “screen time” (ST)]. 2 Excessive ST in children and adolescents is associated with higher risk of obesity, 3 and psychological and behavioral problems

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Louise L. Hardy, Ding Ding, Louisa R. Peralta, Seema Mihrshahi and Dafna Merom

adolescents. 7 The most recent systematic reviews on the associations between children’s and adolescents’ sedentary behavior, screen time, and health- and skill-related attributes of physical fitness are inconclusive. 8 , 9 The evidence from objectively measured sitting time suggests that higher levels of

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Morgan Potter, John C. Spence, Normand Boulé, Jodie A. Stearns and Valerie Carson

informing future interventions. Evidence suggests that physical activity (PA) and sedentary behavior, in particular screen time (ST), are important correlates of fitness in children and youth ( 7 , 22 ). However, much of the evidence examining the association between PA, ST, and fitness in children and

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Alexis C. Frazier-Wood, Ingrid B. Borecki, Mary F. Feitosa, Paul N. Hopkins, Caren E. Smith and Donna K. Arnett

Background:

Time spent in sedentary activities (such as watching television) has previously been associated with several risk factors for cardiovascular disease (CVD) such as increased low-density lipoprotein cholesterol (LDL-C). Little is known about associations with lipoprotein subfractions. Using television and computer screen time in hours per day as a measure of sedentary time, we examined the association of screen time with lipoprotein subfractions.

Methods:

Data were used from men and women forming the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) study population. Mixed linear models specified lipoprotein measures as the outcome, and screen time as the predictor for fourteen lipoprotein subfraction measures, and included age, smoking status, pedigree, and fat, carbohydrate daily alcohol and energy intake as covariates. Analyses were run separately for men (n = 623) and women (n = 671). A step-down Bonferroni correction was applied to results. The analysis was repeated for significant results (p < .05), additionally controlling for body mass index (BMI) and moderate and vigorous physical activity.

Results:

Linear models indicated that screen time was associated with five lipoprotein parameters in women: the concentration of large VLDL particles (p = .01), LDL particle number (p = .01), concentration of small LDL particles (p = .04), the concentration of large HDL particles (p = .04), and HDL diameter (p = .02). All associations remained after controlling for moderate or vigorous physical activity and BMI.

Conclusions:

We show that sedentary time is associated with lipoprotein measures, markers of cardiometabolic disease, independently of physical activity and BMI, in women but not men.