Physical activity intensity, bout-duration, and cardiometabolic risk markers in children and adolescents
| Autor: | Soren Brage, Susi Kriemler, Lars Bo Andersen, John J. Reilly, Jardena J. Puder, Anna Bugge, Kate Westgate, Jakob Tarp, Katrien Wijndaele, Thomas E. White, Luís B. Sardinha, Ulf Ekelund, Angie S Page, Anders Grøntved, Abbey Child, Rachel Davey, Niels Wedderkopp, Greet Cardon, Esther M. F. van Sluijs, Kate Northstone, Kathleen F. Janz |
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| Přispěvatelé: | International Children’s Accelerometry Database (ICAD) Collaborators, University of Zurich, Tarp, Jakob, Tarp, Jakob [0000-0002-9186-7077], White, Tom [0000-0001-8456-0803], van Sluijs, Esther MF [0000-0001-9141-9082], Ekelund, Ulf [0000-0003-2115-9267], Apollo - University of Cambridge Repository |
| Rok vydání: | 2018 |
| Předmět: |
Blood Glucose
Lifestyle modification PRESCHOOL-CHILDREN Epidemiology Cross-sectional study Endocrinology Diabetes and Metabolism Medicine (miscellaneous) Blood Pressure physical conditioning human / methods RA773 SCHOOL-CHILDREN Body Mass Index 0302 clinical medicine Medicine and Health Sciences Insulin 030212 general & internal medicine Child METABOLIC SYNDROME 2. Zero hunger INSULIN-RESISTANCE Nutrition and Dietetics Framingham Risk Score cardiovascular diseases / epidemiology CARDIOVASCULAR RISK 2701 Medicine (miscellaneous) VDP::Medisinske Fag: 700::Idrettsmedisinske fag: 850 SEDENTARY TIME 2712 Endocrinology Diabetes and Metabolism YOUTH Cardiovascular Diseases Child Preschool 2916 Nutrition and Dietetics HEALTH Waist Circumference exercise / physiology Physical Conditioning Human medicine.medical_specialty Waist Adolescent 610 Medicine & health HEART-DISEASE insulin / blood Article 03 medical and health sciences Internal medicine medicine Humans Obesity Exercise physical activity & health physical conditioning human / statistics & numerical data business.industry blood glucose / analysis Biomarkers Blood Glucose/analysis Cardiovascular Diseases/epidemiology Cross-Sectional Studies Exercise/physiology Insulin/blood Obesity/epidemiology Physical Conditioning Human/methods Physical Conditioning Human/statistics & numerical data Risk Factors Correction CAUSE-SPECIFIC MORTALITY Paediatrics 10060 Epidemiology Biostatistics and Prevention Institute (EBPI) 030229 sport sciences medicine.disease Intensity (physics) Blood pressure Risk factors obesity / epidemiology Metabolic syndrome business Body mass index |
| Zdroj: | International journal of obesity, vol. 42, no. 9, pp. 1639-1650 International Journal of Obesity (2005) International Journal of Obesity INTERNATIONAL JOURNAL OF OBESITY Tarp, J, Child, A, White, T, Westgate, K, Bugge, A, Grøntved, A, Wedderkopp, N, Andersen, L B, Cardon, G, Davey, R, Janz, K F, Kriemler, S, Northstone, K, Page, A S, Puder, J J, Reilly, J J, Sardinha, L B, van Sluijs, E M F, Ekelund, U & Wijndaele, K & Brage, S 2018, ' Physical activity intensity, bout-duration, and cardiometabolic risk markers in children and adolescents ', International Journal of Obesity, vol. 42, no. 9, pp. 1639–1650 . https://doi.org/10.1038/s41366-018-0152-8 International Children’s Accelerometry Database (ICAD) Collaborators 2018, ' Physical activity intensity, bout-duration, and cardiometabolic risk markers in children and adolescents ', International Journal of Obesity, vol. 42, no. 9, pp. 1639–1650 . https://doi.org/10.1038/s41366-018-0152-8 |
| ISSN: | 1476-5497 0307-0565 |
| DOI: | 10.1038/s41366-018-0152-8 |
| Popis: | Objectives: To determine the role of physical activity intensity and bout-duration in modulating associations between physical activity and cardiometabolic risk markers.Methods: A cross-sectional study using the International Children’s Accelerometry Database (ICAD) including 38,306 observations (in 29,734 individuals aged 4–18 years). Accelerometry data was summarized as time accumulated in 16 combinations of intensity thresholds (≥500 to ≥3000 counts/min) and bout-durations (≥1 to ≥10 min). Outcomes were body mass index (BMI, kg/m2), waist circumference, biochemical markers, blood pressure, and a composite score of these metabolic markers. A second composite score excluded the adiposity component. Linear mixed models were applied to elucidate the associations and expressed per 10 min difference in daily activity above the intensity/bout-duration combination. Estimates (and variance) from each of the 16 combinations of intensity and bout-duration examined in the linear mixed models were analyzed in meta-regression to investigate trends in the association.Results: Each 10 min positive difference in physical activity was significantly and inversely associated with the risk factors irrespective of the combination of intensity and bout-duration. In meta-regression, each 1000 counts/min increase in intensity threshold was associated with a −0.027 (95% CI: −0.039 to −0.014) standard deviations lower composite risk score, and a −0.064 (95% CI: −0.09 to −0.038) kg/m2 lower BMI. Conversely, meta-regression suggested bout-duration was not significantly associated with effect-sizes (per 1 min increase in bout-duration: −0.002 (95% CI: −0.005 to 0.0005) standard deviations for the composite risk score, and −0.005 (95% CI: −0.012 to 0.002) kg/m2 for BMI).Conclusions: Time spent at higher intensity physical activity was the main determinant of variation in cardiometabolic risk factors, not bout-duration. Greater magnitude of associations was consistently observed with higher intensities. These results suggest that, in children and adolescents, physical activity, preferably at higher intensities, of any bout-duration should be promoted. |
| Databáze: | OpenAIRE |
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