Physical activity, cardiorespiratory fitness, and clustered cardiometabolic risk in 10- to 12-year-old school children: the REACH Y6 study.

OBJECTIVES: (1) Investigate whether clustered cardiometabolic risk score, cardiorespiratory fitness (CRF), sedentary time (ST), and body mass index Z-scores (BMI Z-scores), differed between participants that met and did not achieve ≥60 min of daily moderate to vigorous intensity physical activity (MVPA). (2) Compare clustered cardiometabolic risk score, BMI Z-score, ST, and MVPA by CRF status. METHODS: One hundred and one (n = 45 boys) 10- to 12-year-old participants took part in this cross-sectional study, conducted in Liverpool (Summer 2010) and Ulster (Spring 2011) UK. Assessments of blood markers, stature, sitting stature, body mass, waist circumference, flow mediated dilation (FMD), and resting blood pressure (BP) were completed. CRF (VO2 peak) was estimated using an individually calibrated treadmill protocol. Habitual MVPA and ST were assessed using an individually calibrated accelerometer protocol. Clustered cardiometabolic risk scores were calculated using blood markers, FMD (%), BP and anthropometric measures. Participants were classified as active (≥60 min MVPA) or inactive and as fit or unfit. Multivariate analysis of covariance (MANCOVA) was used to investigate differences in cardiometabolic risk, BMI Z-score, CRF, and ST by activity status. MANCOVA was also completed to assess differences in cardiometabolic risk, MVPA, ST, and BMI Z-score by fitness status. RESULTS: Inactive children exhibited significantly higher clustered cardiometabolic risk scores and ST, and lower CRF than active children. Unfit participants exhibited significantly higher clustered cardiometabolic risk scores, BMI Z-scores and ST and lower MVPA in comparison to fit participants. CONCLUSIONS: This study highlights the importance of children achieving 60 min MVPA daily and provides further evidence surrounding the importance of CRF for health.

Promoting healthy weight in primary school children through physical activity and nutrition education: a pragmatic evaluation of the CHANGE! randomised intervention study.

BACKGROUND: This pragmatic evaluation investigated the effectiveness of the Children's Health, Activity and Nutrition: Get Educated! (CHANGE!) Project, a cluster randomised intervention to promote healthy weight using an educational focus on physical activity and healthy eating. METHODS: Participants (n = 318, aged 10-11 years) from 6 Intervention and 6 Comparison schools took part in the 20 weeks intervention between November 2010 and March/April 2011. This consisted of a teacher-led curriculum, learning resources, and homework tasks. Primary outcome measures were waist circumference, body mass index (BMI), and BMI z-scores. Secondary outcomes were objectively-assessed physical activity and sedentary time, and food intake. Outcomes were assessed at baseline, at post-intervention (20 weeks), and at follow-up (30 weeks). Data were analysed using 2-level multi-level modelling (levels: school, student) and adjusted for baseline values of the outcomes and potential confounders. Differences in intervention effect by subgroup (sex, weight status, socio-economic status) were explored using statistical interaction. RESULTS: Significant between-group effects were observed for waist circumference at post-intervention (ß for intervention effect =-1.63 (95% CI = -2.20, -1.07) cm, p<0.001) and for BMI z-score at follow-up (ß=-0.24 (95% CI = -0.48, -0.003), p=0.04). At follow-up there was also a significant intervention effect for light intensity physical activity (ß=25.97 (95% CI = 8.04, 43.89) min, p=0.01). Interaction analyses revealed that the intervention was most effective for overweight/obese participants (waist circumference: ß=-2.82 (95% CI = -4.06, -1.58) cm, p<0.001), girls (BMI: ß=-0.39 (95% CI = -0.81, 0.03) kg/m2, p=0.07), and participants with higher family socioeconomic status (breakfast consumption: ß=8.82 (95% CI = 6.47, 11.16), p=0.07). CONCLUSIONS: The CHANGE! intervention positively influenced body size outcomes and light physical activity, and most effectively influenced body size outcomes among overweight and obese children and girls. The findings add support for the effectiveness of combined school-based physical activity and nutrition interventions. Additional work is required to test intervention fidelity and the sustained effectiveness of this intervention in the medium and long term. TRIAL REGISTRATION: Current Controlled Trials ISRCTN03863885.

Scaling of peak oxygen uptake in children: a comparison of three body size index models.

PURPOSE: We aimed to compare three candidate body size index models for the scaling of aerobic fitness (V(˙)O(2peak)) in children: whole body mass, total lean body mass, and the lean mass of both legs. METHODS: V(˙)O(2peak) and total lean mass of the body and both legs (via dual-energy x-ray absorptiometry) were assessed in 126 girls and 87 boys aged 9-11 yr. We applied nonlinear allometric models of the form V(˙)O(2peak) = a×body size, adjusted for biological sex and maturity offset (years from peak height velocity). We assessed goodness of fit using the Akaike information criterion. RESULTS: The Akaike weights (Akaike differences) were as follows: lean mass of both legs = 0.69 (0), total lean body mass = 0.31 (1.6), and whole body mass = <1e-8 (36.6). The size exponent (90% confidence interval) for the lean mass of both legs was 0.55 (0.46-0.64). V(˙)O(2peak) was 17% (13%-21%) lower in girls after controlling for the lean mass of both legs and maturity offset. After controlling for body size and sex, a 1-yr increase in maturity offset (closer to peak height velocity) was associated with a 6% (4%-9%) higher V(˙)O(2peak). CONCLUSIONS: Allometric scaling of V(˙)O(2peak) by the lean mass of both legs provides the best model for quantifying growth-related changes in aerobic fitness in pediatric populations, although this model is only marginally superior to the total lean body mass model. There is no support for the total body mass model. Maturity and sex are also important covariates exerting a size-independent influence on peak aerobic fitness.

Cardiorespiratory fitness predicts clustered cardiometabolic risk in 10-11.9-year-olds.

The aim of this study was to investigate levels of clustered cardiometabolic risk and the odds of being 'at risk' according to cardiorespiratory fitness status in children. Data from 88 10-11.9-year-old children (mean age 11.05 ± 0.51 years), who participated in either the REACH Year 6 or the Benefits of Fitness Circuits for Primary School Populations studies were combined. Waist circumference, systolic blood pressure, diastolic blood pressure, glucose, triglycerides, high-density lipoprotein cholesterol, adiponectin and C-reactive protein were assessed and used to estimate clustered cardiometabolic risk. Participants were classified as 'fit' or 'unfit' using recently published definitions (46.6 and 41.9 mL/kg/min for boys and girls, respectively), and continuous clustered risk scores between fitness groups were assessed. Participants were subsequently assigned to a 'normal' or 'high' clustered cardiometabolic risk group based on risk scores, and logistic regression analysis assessed the odds of belonging to the increased cardiometabolic risk group according to fitness. The unfit group exhibited significantly higher clustered cardiometabolic risk scores (p < 0.001) than the fit group. A clear association between fitness group and being at increased cardiometabolic risk (B = 2.509, p = 0.001) was also identified, and participants classed as being unfit were found to have odds of being classified as 'at risk' of 12.30 (95 % CI = 2.64-57.33). Conclusion Assessing cardiorespiratory fitness is a valid method of identifying children most at risk of cardiometabolic pathologies. The ROC thresholds could be used to identify populations of children most at risk and may therefore be used to effectively target a cardiometabolic risk-reducing public health intervention.