| Title |
Cross-Sectional Associations of Reallocating Time Between Sedentary and Active Behaviours on Cardiometabolic Risk Factors in Young People: An International Children’s Accelerometry Database (ICAD) Analysis
|
|---|---|
| Published in |
Sports Medicine, April 2018
|
| DOI | 10.1007/s40279-018-0909-1 |
| Pubmed ID | |
| Authors |
Bjørge Herman Hansen, Sigmund Alfred Anderssen, Lars Bo Andersen, Maria Hildebrand, Elin Kolle, Jostein Steene-Johannessen, Susi Kriemler, Angie S. Page, Jardena J. Puder, John J. Reilly, Luis B. Sardinha, Esther M. F. van Sluijs, Niels Wedderkopp, Ulf Ekelund, the International Children’s Accelerometry Database (ICAD) Collaborators |
| Abstract |
Sedentary time and time spent in various intensity-specific physical activity are co-dependent, and increasing time spent in one behaviour requires decreased time in another. The aim of the present study was to examine the theoretical associations with reallocating time between categories of intensities and cardiometabolic risk factors in a large and heterogeneous sample of children and adolescents. We analysed pooled data from 13 studies comprising 18,200 children and adolescents aged 4-18 years from the International Children's Accelerometry Database (ICAD). Waist-mounted accelerometers measured sedentary time, light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA). Cardiometabolic risk factors included waist circumference (WC), systolic blood pressure (SBP), fasting high- and low-density lipoprotein cholesterol (HDL-C and LDL-C), triglycerides, insulin, and glucose. Associations of reallocating time between the various intensity categories with cardiometabolic risk factors were explored using isotemporal substitution modelling. Replacing 10 min of sedentary time with 10 min of MVPA showed favourable associations with WC, SBP, LDL-C, insulin, triglycerides, and glucose; the greatest magnitude was observed for insulin (reduction of 2-4%), WC (reduction of 0.5-1%), and triglycerides (1-2%). In addition, replacing 10 min of sedentary time with an equal amount of LPA showed beneficial associations with WC, although only in adolescents. Replacing sedentary time and/or LPA with MVPA in children and adolescents is favourably associated with most markers of cardiometabolic risk. Efforts aimed at replacing sedentary time with active behaviours, particularly those of at least moderate intensity, appear to be an effective strategy to reduce cardiometabolic risk in young people. |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 18% |
| United States | 3 | 14% |
| Finland | 2 | 9% |
| Australia | 2 | 9% |
| Brazil | 1 | 5% |
| Ireland | 1 | 5% |
| Sweden | 1 | 5% |
| Netherlands | 1 | 5% |
| Unknown | 7 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 55% |
| Scientists | 10 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 163 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 13% |
| Researcher | 19 | 12% |
| Student > Ph. D. Student | 16 | 10% |
| Student > Doctoral Student | 14 | 9% |
| Student > Bachelor | 13 | 8% |
| Other | 31 | 19% |
| Unknown | 49 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 35 | 21% |
| Nursing and Health Professions | 23 | 14% |
| Medicine and Dentistry | 17 | 10% |
| Agricultural and Biological Sciences | 5 | 3% |
| Social Sciences | 4 | 2% |
| Other | 18 | 11% |
| Unknown | 61 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 29 October 2018.
All research outputs
#2,541,556
of 25,380,459 outputs
Outputs from Sports Medicine
#1,560
of 2,906 outputs
Outputs of similar age
#51,423
of 336,103 outputs
Outputs of similar age from Sports Medicine
#43
of 57 outputs
Altmetric has tracked 25,380,459 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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