Associations between activity-related behaviours and standardized BMI among Australian adolescents

Allender, Steven; Kremer, Peter; Silva-Sanigorski, A. de; Lacy, Kathleen E.; Millar, Lynne; Mathews, Louise; Malakellis, Mary; Swinburn, Boyd

doi:10.1016/j.jsams.2011.05.010

Cited by 15 publications

(12 citation statements)

References 28 publications

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“…These results are of interest to this study as a focus on breakfast eating and canteen beverage menus may be a useful component of school and family health promotions or interventions. Associations in this study between adolescent's reporting a regular physical activity program and BMI have been found in other studies and highlight the importance of physical activity promotion in adolescents.…”

Section: Discussionsupporting

confidence: 85%

The Body Mass Index of Adolescents Attending Seventh‐Day Adventist Schools in Australia: 2001‐2012

Craig

Morton

Kent

et al. 2017

Journal of School Health

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Section: Discussionsupporting

confidence: 85%

The Body Mass Index of Adolescents Attending Seventh‐Day Adventist Schools in Australia: 2001‐2012

Craig

Morton

Kent

et al. 2017

Journal of School Health

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“…f Includes 5 case-control studies (Xi et al 2011;Zurriaga et al 2011;Yi et al 2012;Al-Ghamdi 2013;Huang et al 2013). g Includes 125 cross-sectional studies (Beets and Foley 2010;Bishwalata et al 2010;Brown et al 2010;Ferrar and Olds 2010;Hong et al 2010;Ismailov and Leatherdale 2010;Jones et al 2010;Kuhle et al 2010;Legnani et al 2010;Liou et al 2010;Melkevik et al 2010;Olds et al 2010;Pitrou et al 2010;Rivera et al 2010;Ruiz et al 2010;Shan et al 2010;Thibault et al 2010;Wilkosz et al 2010;Yen et al 2010;Zhang et al 2010;Al-Hazzaa et al 2011;Allender et al 2011;Bener et al 2011;Brown et al 2011;Carson and Janssen 2011;Chen et al 2011;Dupuy et al 2011;Fernandes et al 2011;Goyal et al 2011;Hsu and Johnson 2011;Kimbro et al 2011;Leatherdale and Papadakis 2011;Martinez-Gomez et al 2011a;McConley et al 2011;Mushtaq et al 2011;Nigg et al 2011;Peart et al 2011;…”

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

confidence: 99%

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.

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921

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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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“…Young adults who were physically inactive during adolescence are also more likely to be overweight than are their physically active counterparts [6]. The prevalence of physical inactivity, defined as not meeting the physical activity recommendation, is growing rapidly in adolescents [7,8], underscoring the importance of identifying and understanding associated risk factors.…”

Section: Introductionmentioning

confidence: 99%

Associations between physical inactivity and sedentary behaviors among adolescents in 10 cities in China

Chen

Zheng

et al. 2014

BMC Public Health

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BackgroundStudies in western countries have revealed that excessive sedentary behavior is a major risk factor for physical inactivity in adolescents. This study was performed to investigate the association between sedentary behavior and physical inactivity in Chinese adolescents using a large-scale cross-sectional survey design.MethodsThis study was part of the 2011 Chinese Youth Risk Behavior Survey. Between March and September 2011, 10,214 11–18-year-olds were recruited for survey participation in 18 schools in 10 cities in China. Demographic and socioeconomic characteristics, and the prevalences of physical inactivity and sedentary behaviors, were examined. Correlations between sedentary behavior and physical inactivity were analyzed using baseline logistic regression.ResultsAmong the final 9,901 students, physical inactivity (~80%) and sedentary behaviors (television viewing, 43%; computer use, 30.2%) were prevalent. More male than female students reported sedentary behaviors (television viewing > 2 h: 5.5% vs. 3.9%; computer use > 2 h: 7.2% vs. 3.5%; both p < 0.05), but more males were physically active than females (25.1% vs.14.6%; p < 0.05). Television viewing was associated with lower odds of no physical activity (No PA) in males [0–2 h: adjusted odds ratio (AOR) = 0.81, 95% confidence interval (CI) = 0.68–0.96; >4 h: OR = 0.34, 95% CI = 0.18–0.64], but not in females. A similar pattern between insufficient physical activity and >4 h TV viewing (AOR = 0.42, 95% CI = 0.23–0.76) and >4 h computer use (AOR = 0.49, 95% CI = 0.30–0.78) was observed in males. In females, 0–2 h daily computer use was associated with higher odds of physical inactivity (No PA: AOR = 1.42, 95% CI = 1.10–1.82; Insufficient PA: AOR = 1.58, 95% CI = 1.24–2.01), while TV viewing was not associated with No PA or Insufficient PA. The probability of physical inactivity significantly increased with grade and decreased with socioeconomic status.ConclusionsPhysical inactivity and sedentary behaviors were prevalent in Chinese adolescents. Further support, including parental guidance and the provision of publicly accessible facilities, is necessary to encourage Chinese youths to engage sufficiently in physical activities.

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Associations between activity-related behaviours and standardized BMI among Australian adolescents

Cited by 15 publications

References 28 publications

The Body Mass Index of Adolescents Attending Seventh‐Day Adventist Schools in Australia: 2001‐2012

The Body Mass Index of Adolescents Attending Seventh‐Day Adventist Schools in Australia: 2001‐2012

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

Associations between physical inactivity and sedentary behaviors among adolescents in 10 cities in China

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