| Title |
Cardiorespiratory fitness predicts clustered cardiometabolic risk in 10–11.9-year-olds
|
|---|---|
| Published in |
European Journal of Pediatrics, February 2013
|
| DOI | 10.1007/s00431-013-1973-z |
| Pubmed ID | |
| Authors |
Emma L. Houston, Julien S. Baker, Duncan S. Buchan, Gareth Stratton, Stuart J. Fairclough, Lawrence Foweather, Rebecca Gobbi, Lee E. F. Graves, Nicola Hopkins, Lynne M. Boddy |
| Abstract |
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. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 46 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 13% |
| Student > Master | 5 | 10% |
| Student > Doctoral Student | 5 | 10% |
| Researcher | 5 | 10% |
| Student > Bachelor | 3 | 6% |
| Other | 11 | 23% |
| Unknown | 13 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 12 | 25% |
| Medicine and Dentistry | 6 | 13% |
| Agricultural and Biological Sciences | 4 | 8% |
| Social Sciences | 4 | 8% |
| Nursing and Health Professions | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 17 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 July 2013.
All research outputs
#7,425,026
of 22,699,621 outputs
Outputs from European Journal of Pediatrics
#1,450
of 3,673 outputs
Outputs of similar age
#64,301
of 192,953 outputs
Outputs of similar age from European Journal of Pediatrics
#7
of 42 outputs
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