title: Associations between cardiorespiratory fitness, physical activity and clustered cardiometabolic risk in children and adolescents: the HAPPY study.
abstract: Clustering of cardiometabolic risk factors can occur during childhood and predisposes individuals to cardiometabolic disease. This study calculated clustered cardiometabolic risk in 100 children and adolescents aged 10-14 years (59 girls) and explored differences according to cardiorespiratory fitness (CRF) levels and time spent at different physical activity (PA) intensities. CRF was determined using a maximal cycle ergometer test, and PA was assessed using accelerometry. A cardiometabolic risk score was computed as the sum of the standardised scores for waist circumference, blood pressure, total cholesterol/high-density lipoprotein ratio, triglycerides and glucose. Differences in clustered cardiometabolic risk between fit and unfit participants, according to previously proposed health-related threshold values, and between tertiles for PA subcomponents were assessed using ANCOVA. Clustered risk was significantly lower (p < 0.001) in the fit group (mean 1.21 ± 3.42) compared to the unfit group (mean -0.74 ± 2.22), while no differences existed between tertiles for any subcomponent of PA. Conclusion These findings suggest that CRF may have an important cardioprotective role in children and adolescents and highlights the importance of promoting CRF in youth.
authors.affiliation: Institute for Sport and Physical Activity Research, University of Bedfordshire, Polhill Avenue, Bedford, Bedfordshire, MK41 9EA, UK. danielbailey315@hotmail.co.uk
authors.forename: Daniel P
authors.initials: DP
authors.lastname: Bailey
authors.forename: Lynne M
authors.initials: LM
authors.lastname: Boddy
authors.forename: Louise A
authors.initials: LA
authors.lastname: Savory
authors.forename: Sarah J
authors.initials: SJ
authors.lastname: Denton
authors.forename: Catherine J
authors.initials: CJ
authors.lastname: Kerr
mesh_terms: D000293:Adolescent; D000704:Analysis of Variance; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000378:metabolism; D001794:Blood Pressure; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000097:blood / Q000209:etiology / Q000517:prevention & control*; D002648:Child; D003430:Cross-Sectional Studies; D015444:Exercise; D005080:Exercise Test; D005260:Female; D006306:Health Surveys; D006801:Humans; D008055:Lipids / Q000097:blood; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood / Q000209:etiology / Q000517:prevention & control*; D010809:Physical Fitness; D018570:Risk Assessment; D055105:Waist Circumference
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D008055:Lipids