Screen time, adiposity and cardiometabolic markers: mediation by physical activity, not snacking, among 11-year-old children

Berentzen, Nina E.; Smit, Henriëtte A.; Rossem, Lenie van; Gehring, Ulrike; Kerkhof, Marjan; Postma, Dirkje S.; Boshuizen, Hendriek C.; Wijga, Alet H.

doi:10.1038/ijo.2014.110

Cited by 38 publications

(54 citation statements)

References 31 publications

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“…c Dose-response gradient was observed for higher TV, sedentary time, screen time, computer with unfavourable body composition in 14 studies (Barnett et al 2010;Miller 2011;Altenburg et al 2012;Basterfield et al 2012b;Dumith et al 2012;Veitch et al 2012;Falbe et al 2013;Magee et al 2013;Mitchell et al 2013aMitchell et al , 2013bWilliams et al 2013;Berentzen et al 2014;Grontved et al 2014;Lin et al 2014).…”

Section: ) Long Accelerometer-derived Sedentary Bouts (≥5 Min)mentioning

confidence: 99%

“…A dose-response gradient for higher screen time and sedentary time with higher cardiometabolic risk was observed for 5 studies (Wennberg et al 2013;Berentzen et al 2014;Gopinath et al 2014;Grontved et al 2014;.…”

mentioning

confidence: 98%

“…a Includes 32 longitudinal studies (Van den Bulck and Hofman 2009; Barnett et al 2010;Calamaro et al 2010;Wijga et al 2010;Creighton et al 2011;Hands et al 2011;Miller 2011;Altenburg et al 2012;Augustin et al 2012;Barlett et al 2012;Basterfield et al 2012aBasterfield et al , 2012bDumith et al 2012;Ekelund et al 2012;Fuller-Tyszkiewicz et al 2012;Veitch et al 2012;Drenowatz et al 2013;Falbe et al 2013;Kwon et al 2013;Magee et al 2013;Mamun et al 2013;Mitchell et al 2013aMitchell et al , 2013bWilliams et al 2013;Berentzen et al 2014;Chen et al 2014;Gilbert-Diamond et al 2014;Grontved et al 2014;Lin et al 2014;Olafsdottir et al 2014).…”

Section: ) Long Accelerometer-derived Sedentary Bouts (≥5 Min)mentioning

confidence: 99%

“…Cardiorespiratory fitness was the most commonly measured component Table 2 (concluded). a Includes 6 longitudinal studies (Dumith et al 2012;Wennberg et al 2013;Berentzen et al 2014;Gopinath et al 2014;Grontved et al 2014;.…”

Section: Fitnessmentioning

confidence: 99%

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Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update

Carson

Hunter

Kuzik

et al. 2016

Appl. Physiol. Nutr. Metab.

908

871

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This systematic review is an update examining the relationships between objectively and subjectively measured sedentary behaviour and health indicators in children and youth aged 5-17 years. EMBASE, PsycINFO, and Medline were searched in December 2014, and date limits were imposed (≥February 2010). Included studies were peer-reviewed and met the a prioridetermined population (apparently healthy children and youth, mean age: 5-17 years), intervention (durations, patterns, and types of sedentary behaviours), comparator (various durations, patterns, and types of sedentary behaviours), and outcome (critical: body composition, metabolic syndrome/cardiovascular disease risk factors, behavioural conduct/pro-social behaviour, academic achievement; important: fitness, self-esteem) study criteria. Quality of evidence by outcome was assessed using the Grading of Recommendations Assessment, Development, and Evaluation framework. Due to heterogeneity, a narrative analysis was conducted. A total of 235 studies (194 unique samples) were included representing 1 657 064 unique participants from 71 different countries. Higher durations/frequencies of screen time and television (TV) viewing were associated with unfavourable body composition. Higher duration/frequency of TV viewing was also associated with higher clustered cardiometabolic risk scores. Higher durations of TV viewing and video game use were associated with unfavourable behavioural conduct/pro-social behaviour. Higher durations of reading and doing homework were associated with higher academic achievement. Higher duration of screen time was associated with lower fitness. Higher durations of screen time and computer use were associated with lower self-esteem. Evidence ranged from "very low" to "moderate" quality. Higher quality studies using reliable and valid sedentary behaviour measures should confirm this largely observational evidence.Key words: sitting, TV, screen time, body composition, fitness, metabolic syndrome, cardiovascular disease, self-esteem, pro-social behaviour, academic achievement. Résumé :Cette analyse documentaire systématique est une mise à jour de la relation entre la mesure objective/subjective des comportements sédentaires et les indicateurs de santé chez les enfants et les jeunes âgés de 5 à 17 ans. En décembre 2014, on cherche dans ASE, PsycINFO et Medline, mais on impose une limite de date (≥février 2010). Les études retenues sont sanctionnées par des pairs et sont conformes aux critères a priori déterminés dans l'étude : la population (des jeunes apparemment en bonne santé âgés de 5 à 17 ans), l'intervention (durée, habitudes et types de comportement sédentaire), la comparaison (durées variées, habitudes et types de comportement sédentaire) et le résultat (essentiel : composition corporelle, syndrome métabolique/ facteurs de risque de maladie cardiovasculaire, comportement/comportement prosocial, rendement scolaire; important : condition physique, estime de soi). La qualité des données probantes est évaluée pour chaque résultat pa...

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Section: ) Long Accelerometer-derived Sedentary Bouts (≥5 Min)mentioning

confidence: 99%

mentioning

confidence: 98%

Section: ) Long Accelerometer-derived Sedentary Bouts (≥5 Min)mentioning

confidence: 99%

Section: Fitnessmentioning

confidence: 99%

See 2 more Smart Citations

Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update

Carson

Hunter

Kuzik

et al. 2016

Appl. Physiol. Nutr. Metab.

908

871

View full text Add to dashboard Cite

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“…9,10 Diet habits and physical activity are also negatively affected by sedentary screen time, as some children sit for long hours and eat unhealthy food while playing video games, which may lead to several short-or long-term health problems, especially obesity and heart disease. [11][12][13] Another adverse effect of prolonged screen time is the development of addictive behavior. [14][15][16] This study addresses the indirect role of parents in increasing their children's screen time, and whether a change in parental discipline practices can reduce children's screen time, which may therefore prevent potential developmental, social, physical, and mental health problems in their children.…”

mentioning

confidence: 99%

Impact of e-Discipline on Children's Screen Time

Hawi

Rupert

2015

Cyberpsychology, Behavior, and Social Networking

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With rapid technological advancement, the prevalence and undesirable effects of excess screen time on children have become a mounting issue worldwide. There are many studies investigating the phenomenon's impact on society (e.g., behavioral, academic, health), but studies that uncover the causes and factors that increase the odds of children's excess screen time are limited. To this end, this study introduces the term ''e-discipline'' to refer to systematic practices that use screen devices as discipline tools. As such, the aim of this study is to investigate the association between e-discipline and children's screen time by gender. Analysis was performed on 3,141 children aged 7-11 years old. Bivariate logistic regression models were used to calculate the odds of exceeding the American Academy of Pediatrics guidelines of 2 hours of screen time per day by boys and girls whose parents practice e-discipline. The results showed that children whose parents used screen devices as discipline tools had significantly more screen time compared to children whose parents did not. Furthermore, no statistically significant gender differences were found in the odds of exceeding the recommended screen time under e-discipline. Recommendations stemming from all the results are discussed.

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