. 2018 Sep;42(9):1639-1650.

doi: 10.1038/s41366-018-0152-8. Epub 2018 Jul 13.

Physical activity intensity, bout-duration, and cardiometabolic risk markers in children and adolescents

Jakob Tarp^{1

2}, Abbey Child³, Tom White⁴, Kate Westgate⁴, Anna Bugge⁵, Anders Grøntved⁵, Niels Wedderkopp^{5

6}, Lars B Andersen⁷, Greet Cardon⁸, Rachel Davey⁹, Kathleen F Janz¹⁰, Susi Kriemler¹¹, Kate Northstone¹², Angie S Page¹³, Jardena J Puder¹⁴, John J Reilly¹⁵, Luis B Sardinha¹⁶, Esther M F van Sluijs^{4

17}, Ulf Ekelund¹⁸, Katrien Wijndaele⁴, Søren Brage⁴; International Children’s Accelerometry Database (ICAD) Collaborators

Collaborators, Affiliations

Collaborators

International Children’s Accelerometry Database (ICAD) Collaborators:
A J Atkin, D W Esliger, B H Hansen, L B Sherar

Affiliations

¹ Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, Centre of Research in Childhood Health, University of Southern Denmark, Odense, Denmark. jakob.tarp@nih.no.
² Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK. jakob.tarp@nih.no.
³ University of Cambridge, Cambridge, UK.
⁴ Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK.
⁵ Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, Centre of Research in Childhood Health, University of Southern Denmark, Odense, Denmark.
⁶ Sports Medicine Clinic, The Orthopedic Department, Hospital of Lillebaelt Middelfart, Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark.
⁷ Department of Teacher Education and Sport, Western Norwegian University of Applied Sciences, Sogndal, Norway.
⁸ Department of Movement and Sports Sciences, Ghent University, 9000, Ghent, Belgium.
⁹ Centre for Research and Action in Public Health, University of Canberra, Canberra, Australia.
¹⁰ Department of Health and Human Physiology, University of Iowa, Iowa City, USA.
¹¹ Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
¹² Bristol Medical School, University of Bristol, Bristol, UK.
¹³ Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK.
¹⁴ Service of Endocrinology, Diabetes and Metabolism and Division of Pediatric Endocrinology, Diabetes and Obesity, University Hospital Lausanne, Lausanne, Switzerland.
¹⁵ University of Strathclyde, Physical Activity for Health Group, School of Psychological Sciences and Health, Glasgow, Scotland, UK.
¹⁶ Exercise and Health Laboratory, Faculty of Human Kinetics, Universidade de Lisboa, Lisbon, Portugal.
¹⁷ Centre for Diet and Activity Research (CEDAR), University of Cambridge, Cambridge, UK.
¹⁸ Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway.

PMID: 30006582
PMCID: PMC6160399
DOI: 10.1038/s41366-018-0152-8

Physical activity intensity, bout-duration, and cardiometabolic risk markers in children and adolescents

Jakob Tarp et al. Int J Obes (Lond). 2018 Sep.

. 2018 Sep;42(9):1639-1650.

doi: 10.1038/s41366-018-0152-8. Epub 2018 Jul 13.

Authors

Collaborators

International Children’s Accelerometry Database (ICAD) Collaborators:
A J Atkin, D W Esliger, B H Hansen, L B Sherar

Affiliations

¹ Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, Centre of Research in Childhood Health, University of Southern Denmark, Odense, Denmark. jakob.tarp@nih.no.
² Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK. jakob.tarp@nih.no.
³ University of Cambridge, Cambridge, UK.
⁴ Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK.
⁵ Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, Centre of Research in Childhood Health, University of Southern Denmark, Odense, Denmark.
⁶ Sports Medicine Clinic, The Orthopedic Department, Hospital of Lillebaelt Middelfart, Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark.
⁷ Department of Teacher Education and Sport, Western Norwegian University of Applied Sciences, Sogndal, Norway.
⁸ Department of Movement and Sports Sciences, Ghent University, 9000, Ghent, Belgium.
⁹ Centre for Research and Action in Public Health, University of Canberra, Canberra, Australia.
¹⁰ Department of Health and Human Physiology, University of Iowa, Iowa City, USA.
¹¹ Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
¹² Bristol Medical School, University of Bristol, Bristol, UK.
¹³ Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK.
¹⁴ Service of Endocrinology, Diabetes and Metabolism and Division of Pediatric Endocrinology, Diabetes and Obesity, University Hospital Lausanne, Lausanne, Switzerland.
¹⁵ University of Strathclyde, Physical Activity for Health Group, School of Psychological Sciences and Health, Glasgow, Scotland, UK.
¹⁶ Exercise and Health Laboratory, Faculty of Human Kinetics, Universidade de Lisboa, Lisbon, Portugal.
¹⁷ Centre for Diet and Activity Research (CEDAR), University of Cambridge, Cambridge, UK.
¹⁸ Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway.

PMID: 30006582
PMCID: PMC6160399
DOI: 10.1038/s41366-018-0152-8

Erratum in

Correction to: Physical activity intensity, bout-duration, and cardiometabolic risk markers in children and adolescents.
Tarp J, Child A, White T, Westgate K, Bugge A, Grøntved A, Wedderkopp N, Andersen LB, Cardon G, Davey R, Janz KF, Kriemler S, Northstone K, Page AS, Puder JJ, Reilly JJ, Sardinha LB, van Sluijs EMF, Ekelund U, Wijndaele K, Brage S; International Children’s Accelerometry Database (ICAD) Collaborators. Tarp J, et al. Int J Obes (Lond). 2019 Nov;43(11):2346. doi: 10.1038/s41366-019-0465-2. Int J Obes (Lond). 2019. PMID: 31591482 Free PMC article.

Abstract

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.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no conflict of interest.

Figures

**Fig. 1**
Activity patterns in 10,990 boys and 18,810 girls. Box-plot displays percentage of wear-time spent in intensity/bout combinations in boys and girls. Outside values not shown

**Fig. 2**
Forest plot of associations between intensity/bout combinations and composite risk scores. Beta-coefficients and 95% CI from linear mixed regression models controlled for age, sex, wear-time including study and participant as “random-effects”. Non-adiposity composite risk score additionally controlled for BMI. Physical activity exposure is based on summarizing all activity exceeding the considered intensity/bout-duration threshold

**Fig. 3**
Forest plot of associations between intensity/bout combinations and BMI. Beta-coefficients and 95% CI from linear mixed regression models controlled for age, sex, wear-time including study and participant as “random-effects”. Physical activity exposure is based on summarizing all activity exceeding the considered intensity/bout-duration threshold

See this image and copyright information in PMC

References

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Physical activity intensity, bout-duration, and cardiometabolic risk markers in children and adolescents

Collaborators

Affiliations

Physical activity intensity, bout-duration, and cardiometabolic risk markers in children and adolescents

Authors

Collaborators

Affiliations

Erratum in

Abstract

Conflict of interest statement

Figures

References

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MeSH terms

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Grants and funding

LinkOut - more resources

Full Text Sources

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Medical