Adiposity and Different Types of Screen Time

Falbe, Jennifer; Rosner, Bernard; Willett, Walter C.; Sonneville, Kendrin R.; Hu, Frank B.; Field, Alison E.

doi:10.1542/peds.2013-0887

Cited by 103 publications

(112 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The remaining 2 studies for screen time ) and TV viewing (Creighton et al 2011;Drenowatz et al 2013), and 1 study for computer use (Magee et al 2013) reported null findings. Among 9 of the studies, significant associations with body composition were not observed across all age groups (Hands et al 2011), sex groups (Altenburg et al 2012;Barnett et al 2010;Falbe et al 2013;Lin et al 2014), exposure measures (e.g., TV vs. movie) (Falbe et al 2013;Gilbert-Diamond et al 2014), or measures of body composition (Altenburg et al 2012;Grontved et al 2014). Primarily null findings were observed for accelerometer-derived sedentary time and breaks as well as video games and total sedentary behaviour with body composition.…”

Section: Body Compositionmentioning

confidence: 94%

“…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 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%

“…b Out of the 26 studies that used a subjective measure of sedentary behaviour, only 7 studies mention psychometric properties for the sedentary behaviour items (Barnett et al 2010;Hands et al 2011;Veitch et al 2012;Falbe et al 2013;Mitchell et al 2013b;Chen et al 2014;Lin et al 2014).…”

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

confidence: 99%

See 3 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.

1,004

921

View full text Add to dashboard Cite

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...

show abstract

Section: Body Compositionmentioning

confidence: 94%

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

confidence: 99%

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

confidence: 99%

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

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.

1,004

921

View full text Add to dashboard Cite

show abstract

“…assistindo televisão e a presença de televisão no quarto da criança estão diretamente relacionados com a prevalência de obesidade. [25][26][27][28][29][30][31][32] A qualidade do sono também parece ter um papel importante. Alguns estudos transversais sugerem associação entre restrição de sono e obesidade.…”

Section: Historicamente O Diagnóstico De Transtorno De Déficit De Atunclassified

Avaliação da associação entre obesidade e transtorno de déficit de atenção/hiperatividade em crianças e adolescentes

Granato¹

View full text Add to dashboard Cite

Association of Obesity With Risk of Early-Onset Colorectal Cancer Among Women

et al. 2019

Self Cite

View full text Add to dashboard Cite

Importance: Colorectal cancer incidence and mortality among individuals under age 50 (young-onset CRC) are rising. The reasons for such increase are largely unknown, although the surging prevalence of obesity may be partially responsible. Objective: To investigate prospectively the association between obesity and weight gain since early adulthood with risk of young-onset CRC. Design: Prospective cohort. Setting: U.S.-based Nurses’ Health Study II. Participants: 85,256 women aged 25 to 44 years free of cancer and inflammatory bowel disease at enrollment were followed from 1989 to 2011. Validated anthropomorphic measures and lifestyle information were self-reported biennially. Exposures: Current body mass index (BMI), BMI at age 18, and weight gain since age 18. Main Outcomes and Measures: Relative risk (RR) for incident young-onset CRC. Results: We documented 114 cases of young-onset CRC during 1,196,452 person-years of follow-up. Compared to women with BMI 18.5–22.9 kg/m2, the multivariable RR was 1.37 [95% confidence interval (CI): 0.81–2.30] for overweight women (BMI 25–29.9 kg/m2) and 1.93 (95% CI: 1.15–3.25) for obese women (BMI ≥ 30 kg/m2). The RR for each 5 kg/m2 increment in BMI was 1.20 (95% CI: 1.05–1.38, P-trend=0.01). Similar associations were observed among women without a family history of CRC and without lower endoscopy within the past 10 years. Both BMI at age 18 and weight gain since age 18 contributed to this observation. Compared to women with BMI 18.5–20.9 kg/m2 at age 18, the RR of young-onset CRC was 1.63 (95% CI: 1.01–2.61) for women with BMI ≥ 23 kg/m2 at age 18 (P-trend=0.66). Similarly, compared to women who had gained < 5 kg or had lost weight, the RR of young-onset CRC was 2.15 (95% CI: 1.01–4.55) for women with ≥ 40 kg weight gain since age 18 (P-trend=0.007). Conclusion and Relevance: Obesity was associated with an increased risk of young-onset CRC among women. Further investigations among men and to elucidate underlying biological mechanisms are warranted.

show abstract

Adiposity and Different Types of Screen Time

Cited by 103 publications

References 52 publications

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

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

Avaliação da associação entre obesidade e transtorno de déficit de atenção/hiperatividade em crianças e adolescentes

Association of Obesity With Risk of Early-Onset Colorectal Cancer Among Women

Contact Info

Product

Resources

About