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Published on: July 27, 2022
Accelerometer epoch setting is decisive for associations between physical activity and metabolic health in children
Eivind Aadland1, Lars Bo Andersen1, Sigmund Alfred Anderssen1,2
1Faculty of Education, Arts and Sports, Western Norway University of Applied Sciences, Sogndal, Norway.
Insights
Choosing the right accelerometry epoch setting is crucial for accurately measuring physical activity (PA) intensity and its link to children's metabolic health. Different epoch settings significantly alter the detected intensity signatures associated with metabolic health outcomes.
Area of Science:
- Pediatric Exercise Science
- Metabolic Health Research
- Biomedical Data Analysis
Background:
- Accurate assessment of physical activity (PA) intensity is vital for understanding its impact on childhood metabolic health.
- The epoch setting used in accelerometry data processing significantly influences the captured PA intensity levels.
- Previous research has not fully elucidated how varying epoch settings affect the association between PA intensity and metabolic health in children.
Purpose of the Study:
- To investigate the influence of different epoch settings (1, 10, and 60 seconds) on physical activity intensity signatures.
- To examine how these intensity signatures, derived from varying epoch settings, relate to metabolic health indices in a pediatric population.
- To identify optimal intensity intervals associated with metabolic health across different epoch settings.
Main Methods:
- Utilized accelerometry data (ActiGraph GT3X+) from 841 Norwegian children (mean age 10.2 years).
- Collected data on multiple metabolic health indicators including aerobic fitness, abdominal fatness, insulin sensitivity, lipid metabolism, and blood pressure.
- Created composite metabolic health scores and analyzed intensity spectra (0-99 to ≥ 10000 counts per minute) using multivariate pattern analysis for 1, 10, and 60-second epoch settings.
Main Results:
- Significant differences were observed in the association patterns between PA intensity and metabolic health across the tested epoch settings.
- The most impactful intensity intervals for metabolic health were 7000-8000 cpm (1-sec epoch), 5500-6500 cpm (10-sec epoch), and 4000-5000 cpm (60-sec epoch).
- Data aggregation period clearly impacts the relationship between moderate-to-vigorous PA intensities and childhood metabolic health.
Conclusions:
- The choice of epoch setting in accelerometry critically affects the characterization of physical activity intensity and its association with metabolic health in children.
- Different epoch durations reveal distinct intensity thresholds linked to metabolic well-being, highlighting the need for careful consideration in research and practice.
- Findings underscore the importance of standardizing or clearly reporting epoch settings when analyzing PA data to ensure comparability and accurate interpretation of metabolic health associations.
Abstract:
When analysing physical activity (PA) levels using accelerometry, the epoch setting is critical to capture intensity-specific PA correctly. The aim of the present study was to investigate the PA intensity signatures related to metabolic health in children using different epoch settings. A sample of 841 Norwegian children (age 10.2 ± 0.3 years; BMI 18.0 ± 3.0; 50% boys) provided data on accelerometry (ActiGraph GT3X+) and several indices of metabolic health (aerobic fitness, abdominal fatness, insulin sensitivity, lipid metabolism, blood pressure) that were used to create a composite metabolic health score. We created intensity spectra from 0-99 to ≥ 10000 counts per minute (cpm) for files aggregated using 1, 10, and 60-second epoch periods and used multivariate pattern analysis to analyse the data. The association patterns with metabolic health differed substantially between epoch settings. The intensity intervals most strongly associated with metabolic health were 7000-8000 cpm for data analysed using 1-second epoch, 5500-6500 cpm for data analysed using 10-second epoch, and 4000-5000 cpm analysed using 60-second epoch. Aggregation of data over different epoch periods has a clear impact on how PA intensities in the moderate and vigorous range are associated with childhood metabolic health.
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