Physical Activity, Sedentary Time, and Obesity in an International Sample of Children

Katzmarzyk, Peter T.; Barreira, Tiago V.; Broyles, Stephanie T.; Champagne, Catherine M.; Chaput, Jean‐Philippe; Fogelholm, Mikael; Hu, Gang; Johnson, William D.; Kuriyan, Rebecca; Kurpad, Anura; Lambert, Estelle V.; Maher, Carol; Maia, José; Matsudo, Victor; Olds, Tim; Onywera, Vincent; Sarmiento, Olga L.; Standage, Martyn; Tremblay, Mark S.; Tudor–Locke, Catrine; Zhao, Pei; Church, Timothy S.

doi:10.1249/mss.0000000000000649

Cited by 190 publications

(196 citation statements)

References 28 publications

(42 reference statements)

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“…Meeting/not meeting guidelines (≥60 min/d MVPA): VERY LOW q 2/3 studies reported favourable associations (Steele et al 2009;Martinez-Gomez et al 2010b); 1/3 studies reported null associations (Mendoza et al 2012) Total PA: 9/22 studies reported favourable associations (Duncan et al 2008;Riddoch et al 2009;Steele et al 2009;Belcher et al 2010;Ferrar and Olds 2010;Owen et al 2010;Mark and Janssen 2011;Ekstedt et al 2013;Manios et al 2013) 8/22 studies reported mixed favourable and null associations (Andersen et al 2006;Duncan et al 2006;Ness et al 2007;Ortega et al 2007;Dollman et al 2010;Ruiz et al 2011;Tudor-Locke et al 2011;Jimenez-Pavon et al 2013c) 3/22 studies reported null associations Hands et al 2009;Martinez-Gomez et al 2012 (Ekelund et al 2004;Lohman et al 2006;Steele et al 2009;Martinez-Gomez et al 2010b;Mark and Janssen 2011;Sayers et al 2011;Chung et al 2012;Martinez-Gomez et al 2012;Jimenez-Pavon et al 2013a;Katzmarzyk et al 2015b). 4/15 studies reported mixed favourable and null associations Belcher et al 2010;Kelly et al 2010;Jimenez-Pavon et al 2013c) 1/15 studies reported mixed null and unfavourable associations ) MVPA: 20/30 studies reported favourable associations (Ekelund et al 2004;…”

Section: No Serious Imprecisionmentioning

confidence: 99%

“…4/15 studies reported mixed favourable and null associations Belcher et al 2010;Kelly et al 2010;Jimenez-Pavon et al 2013c) 1/15 studies reported mixed null and unfavourable associations ) MVPA: 20/30 studies reported favourable associations (Ekelund et al 2004;Lohman et al 2006;Ness et al 2007;Stevens et al 2007;Mark and Janssen 2009;Riddoch et al 2009;Steele et al 2009;Belcher et al 2010;Martinez-Gomez et al 2010b;Holman et al 2011;Grydeland et al 2012;Lawman et al 2012;Carson et al 2013;Ekstedt et al 2013;Jimenez-Pavon et al 2013a;Taverno Ross et al 2013;da Silva et al 2014;Young et al 2014;Katzmarzyk et al 2015aKatzmarzyk et al , 2015b) 6/30 studies reported mixed favourable and null associations Peart et al 2011;Ruiz et al 2011;Mendoza et al 2012;St George et al 2013;Jimenez-Pavon et al 2013c) 3/30 studies reported null associations (Hurtig-Wennlof et al 2007;Ortega et al 2007;Martinez-Gomez et al 2012) 1/30 studies reported mixed null and unfavourable associations (Mark and Janssen 2009;Holman et al 2011) 3 studies examined bouts of MVPA and associations were favourable (2/3 studies; Holman et al 2011;da Silva et al 2014) or mixed (favourable and null; 1/3 studies; Mark and Janssen 2009) MPA: 2/10 studies reported favourable associations …”

Section: No Serious Imprecisionmentioning

confidence: 99%

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Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth

Poitras

Gray

Borghese

et al. 2016

Appl. Physiol. Nutr. Metab.

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Moderate-to-vigorous physical activity (MVPA) is essential for disease prevention and health promotion. Emerging evidence suggests other intensities of physical activity (PA), including light-intensity activity (LPA), may also be important, but there has been no rigorous evaluation of the evidence. The purpose of this systematic review was to examine the relationships between objectively measured PA (total and all intensities) and health indicators in school-aged children and youth. Online databases were searched for peer-reviewed studies that met the a priori inclusion criteria: population (apparently healthy, aged 5-17 years), intervention/exposure/comparator (volumes, durations, frequencies, intensities, and patterns of objectively measured PA), and outcome (body composition, cardiometabolic biomarkers, physical fitness, behavioural conduct/pro-social behaviour, cognition/academic achievement, quality of life/well-being, harms, bone health, motor skill development, psychological distress, self-esteem). Heterogeneity among studies precluded meta-analyses; narrative synthesis was conducted. A total of 162 studies were included (204 171 participants from 31 countries). Overall, total PA was favourably associated with physical, psychological/social, and cognitive health indicators. Relationships were more consistent and robust for higher (e.g., MVPA) versus lower (e.g., LPA) intensity PA. All patterns of activity (sporadic, bouts, continuous) provided benefit. LPA was favourably associated with cardiometabolic biomarkers; data were scarce for other outcomes. These findings continue to support the importance of at least 60 min/day of MVPA for disease prevention and health promotion in children and youth, but also highlight the potential benefits of LPA and total PA. All intensities of PA should be considered in future work aimed at better elucidating the health benefits of PA in children and youth.Key words: physical activity, body composition, cardiometabolic biomarkers, fitness, behavioural conduct, bone health, academic achievement, quality of life, well-being, children.Résumé : L'activité physique d'intensité moyenne à vigoureuse (« MVPA ») est essentielle à la prévention des maladies et à la promotion de la santé. D'après de récentes données, l'activité physique (« PA ») pratiquée à d'autres intensités telles que légères (« LPA ») s'avère aussi importante, mais il n'y a pas d'évaluation rigoureuse de ces faits. Cette analyse documentaire systématique a pour objectif d'examiner la relation entre l'activité physique mesurée objectivement (totale et à chacune des intensités) et des indicateurs de la santé chez des enfants et des jeunes d'âge scolaire. On a cherché dans des bases de données en ligne pour identifier des études révisées par des pairs et présentant a priori les critères d'inclusion suivants : population (apparemment en santé, sujets âgés de 5 à 17 ans), intervention/exposition/comparateur (volume, durée, fréquence, intensité et types de mesure objective de PA) et le résultat (composition c...

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Section: No Serious Imprecisionmentioning

confidence: 99%

Section: No Serious Imprecisionmentioning

confidence: 99%

Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth

Poitras

Gray

Borghese

et al. 2016

Appl. Physiol. Nutr. Metab.

Self Cite

1,491

1,229

View full text Add to dashboard Cite

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“…30 After exclusion of total sleep time and awake non-wear time (any sequence of ⩾ 20 consecutive minutes of 0 activity counts), MVPA was defined as all activity ⩾ 574 counts per 15 s and total SED as all movement ⩽ 25 counts per 15 s, consistent with the widely used Evenson cutoffs. 29,31,32 Statistical analyses. Multilevel linear regression models were used to examine the association between birth weight and BMI-for-age z-scores.…”

Section: Measurementsmentioning

confidence: 99%

Birth weight and childhood obesity: a 12-country study

et al. 2015

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OBJECTIVES: Few studies have investigated the association between the full range of birth weight and the risk of childhood obesity in high-, middle-and low-income countries. The aim of the present study is to assess the association between different levels of birth weight and the risk of obesity among children aged 9-11 years in 12 countries. METHODS: A multinational, cross-sectional study of 5141 children aged 9-11 years was conducted in 12 countries. Height and weight were obtained using standardized methods. Time spent in moderate-to-vigorous physical activity (MVPA), sedentary and sleeping were objectively measured using 24-h, waist-worn accelerometer (Actigraph GT3X+) monitored for 7 days. Birth weight and other factors (regions, parental education, maternal history of gestational diabetes, children age, gender, breast feeding, gestational age, unhealthy diet scores and healthy diet scores) were collected by parental and children's questionnaires. Multilevel modeling was used to account for the nested nature of the data. RESULTS: The overall prevalence of obesity (BMI z-score4+2 s.d.) was 15.4% for boys and 10.0% for girls. There was a positive association between birth weight and BMI z-scores. The multivariable-adjusted odds ratios (ORs) of childhood obesity were significantly higher among children whose birth weights were 3500-3999 g (OR 1.45; 95% confidence interval (CI): 1.10-1.92), and 44000 g (OR 2.08; 95% CI: 1.47-2.93), compared with the reference group (2500-2999 g). The positive association between birth weight and the odds of childhood obesity was seen in girls, whereas a U-shaped association appeared in boys. CONCLUSIONS: High levels of birth weight, defined as birth weight ⩾ 3500 g, were associated with increased odds of obesity among 9-11-year-old children in 12 countries. However, sex differences in the association between birth weight and the risk of obesity need to be considered when planning interventions to reduce childhood obesity.

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“…In relation to this the most relevant risk factors that contribute to the excessive body weight gain in adolescents are primarily a sedentary life style or lack of physical activity, like exercise (Díaz et al, 2015, Ten et al, 2016, primarily influenced by the excessive number of hours spent in front of a TV (Katzmarzyk et al, 2015, Laurson et al, 2015 or electronic entertainment devices, together with hypercaloric eating habits where the family has a significant influence (He et al, 2015, Flattum et al, 2015. The previous overview, all this is known as an obesogenic environment (Miqueleiz et al, 2015), which together with biological factors like certain hormones that stimulate hunger and satiety, the baby's weight at birth and genetic load, condition the excess of body fat in adolescents and metabolic problems (González et al, 2015., Landgraf et al, 2015.…”

Section: Introductionmentioning

confidence: 99%

Intervention through internet to improve health cognitive factors in adolescents

Valtier¹,

Morales²,

Jm³

et al. 2017

Int J Recent Sci Res

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Objective: To evaluate the effect of an internet intervention to improve cognitive health factors ("Lifestyle perception, self-efficacy and health status in adolescents"). Methodology: The pre experimental test-retest design was done with a sample of 250 adolescents. The intervention was named "S@lud y Más". It was programmed to be completed in eight weeks. The contents were offered in six topics (Nutrition, physical activity, stress management, health responsibility, spiritual growth and interpersonal relationships). Results: It was differenced regarding to the first and second measures in the lifestyle indicators, perception of health status and self-efficacy increased significantly at the end of the intervention (p<.05). Conclusion: The intervention by internet was effective to improve cognitive factors in the adolescents.

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Physical Activity, Sedentary Time, and Obesity in an International Sample of Children

Cited by 190 publications

References 28 publications

Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth

Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth

Birth weight and childhood obesity: a 12-country study

Intervention through internet to improve health cognitive factors in adolescents

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