Comparison of Accelerometer Cut Points for Predicting Activity Intensity in Youth
Abstract
UNLABELLED: The absence of comparative validity studies has prevented researchers from reaching consensus regarding the application of intensity-related accelerometer cut points for children and adolescents. PURPOSE: This study aimed to evaluate the classification accuracy of five sets of independently developed ActiGraph cut points using energy expenditure, measured by indirect calorimetry, as a criterion reference standard. METHODS: A total of 206 participants between the ages of 5 and 15 yr completed 12 standardized activity trials. Trials consisted of sedentary activities (lying down, writing, computer game), lifestyle activities (sweeping, laundry, throw and catch, aerobics, basketball), and ambulatory activities (comfortable walk, brisk walk, brisk treadmill walk, running). During each trial, participants wore an ActiGraph GT1M, and V˙O2 was measured breath-by-breath using the Oxycon Mobile portable metabolic system. Physical activity intensity was estimated using five independently developed cut points: Freedson/Trost (FT), Puyau (PU), Treuth (TR), Mattocks (MT), and Evenson (EV). Classification accuracy was evaluated via weighted κ statistics and area under the receiver operating characteristic curve (ROC-AUC). RESULTS: Across all four intensity levels, the EV (κ=0.68) and FT (κ=0.66) cut points exhibited significantly better agreement than TR (κ=0.62), MT (κ=0.54), and PU (κ=0.36). The EV and FT cut points exhibited significantly better classification accuracy for moderate- to vigorous-intensity physical activity (ROC-AUC=0.90) than TR, PU, or MT cut points (ROC-AUC=0.77-0.85). Only the EV cut points provided acceptable classification accuracy for all four levels of physical activity intensity and performed well among children of all ages. The widely applied sedentary cut point of 100 counts per minute exhibited excellent classification accuracy (ROC-AUC=0.90). CONCLUSIONS: On the basis of these findings, we recommend that researchers use the EV ActiGraph cut points to estimate time spent in sedentary, light-, moderate-, and vigorous-intensity activity in children and adolescents.
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The cut-point of 574 counts per 15 s has acceptable classification accuracy.
“the cut-point of 574 counts per 15 s was used22 and it has acceptable classification accuracy.23”
From Timing of the decline in physical activity in childhood and adolescence: gateshead millennium cohort study (2018) · cites this paper as [23]
The accelerometer thresholds used to define MVPA have been shown to provide valid estimates for youth aged 5 years and above, but perform poorly for MVPA in children aged 4-6 years and have not been validated in children under 4 years.
“Whilst the thresholds used have been shown to provide valid estimates of physical activity intensity for youth aged 5 years and above [36], more recently they have been shown to perform poorly for MVPA in children aged 4–6 years [37] and have not been validated in children under 4 years.”
From Objectively measured physical activity and sedentary time in youth: the International Children's Accelerometry Database (ICAD) (2015) · cites this paper as [36]
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Self-citation
- Authors
- TROST, S. G., LOPRINZI, P. D., MOORE, R., & PFEIFFER, K. A.
- Affiliations
- Oregon State University (US)
- Michigan State University (US)
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2011-07
- Volume
- 43
- Issue
- 7
- Pages
- 1360-1368
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2324723463
- Cited by
- 1,360
- References
- 28
- Citations by year
- 2026: 28 · 2025: 54 · 2024: 71 · 2023: 52 · 2022: 79 · 2021: 73 · 2020: 107 · 2019: 118 · 2018: 124 · 2017: 108 · 2016: 123 · 2015: 121 · 2014: 123 · 2013: 110 · 2012: 53
- FWCI
- 38.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medicine & Science in Sports & Exercise (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD055400)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- accelerometer cut-points, physical activity intensity, children and adolescents, ActiGraph GT1M, sedentary behavior, energy expenditure, indirect calorimetry, classification accuracy
- MeSH terms
- Acceleration, Adolescent, Calorimetry, Indirect, Child, Child, Preschool, Energy Metabolism, Female, Humans, Male, Motor Activity, Oxygen Consumption, Sports, Monitoring, Ambulatory, Sedentary Behavior
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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