Beyond cut points : accelerometer metrics that capture the physical activity profile
Rowlands, Alex V. and Edwardson, Charlotte L. and Davies, Melanie J. and Khunti, Kamlesh and Harrington, Deirdre M. and Yates, Tom (2018) Beyond cut points : accelerometer metrics that capture the physical activity profile. Medicine and Science in Sports and Exercise, 50 (6). pp. 1323-1332. ISSN 1530-0315 (https://doi.org/10.1249/MSS.0000000000001561)
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Abstract
Purpose Commonly used physical activity metrics tell us little about the intensity distribution across the activity profile. The purpose of this paper is to introduce a metric, the intensity gradient, which can be used in combination with average acceleration (overall activity level) to fully describe the activity profile. Methods A total of 1669 adolescent girls (sample 1) and 295 adults with type 2 diabetes (sample 2) wore a GENEActiv accelerometer on their nondominant wrist for up to 7 d. Body mass index and percent body fat were assessed in both samples and physical function (grip strength, Short Physical Performance Battery, and sit-to-stand repetitions) in sample 2. Physical activity metrics were as follows: average acceleration (AccelAV); the intensity gradient (IntensityGRAD from the log-log regression line: 25-mg intensity bins [x]/time accumulated in each bin [y]); total moderate-to-vigorous physical activity (MVPA); and bouted MVPA (sample 2 only). Results Correlations between AccelAV and IntensityGRAD (r = 0.39-0.51) were similar to correlations between AccelAV and bouted MVPA (r = 0.48) and substantially lower than between AccelAV and total MVPA (r ≥ 0.93). IntensityGRAD was negatively associated with body fatness in sample 1 (P < 0.05) and positively associated with physical function in sample 2 (P < 0.05); associations were independent of AccelAV and potential covariates. By contrast, MVPA was not independently associated with body fatness or physical function. Conclusion AccelAV and IntensityGRAD provide a complementary description of a person's activity profile, each explaining unique variance, and independently associated with body fatness and/or physical function. Both metrics are appropriate for reporting as standardized measures and suitable for comparison across studies using raw acceleration accelerometers. Concurrent use will facilitate investigation of the relative importance of intensity and volume of activity for a given outcome.
ORCID iDs
Rowlands, Alex V., Edwardson, Charlotte L., Davies, Melanie J., Khunti, Kamlesh, Harrington, Deirdre M. ORCID: https://orcid.org/0000-0003-0278-6812 and Yates, Tom;-
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Item type: Article ID code: 76105 Dates: DateEvent30 June 2018Published31 January 2018AcceptedSubjects: Medicine > Public aspects of medicine > Personal health and hygiene, including exercise, nutrition Department: Faculty of Humanities and Social Sciences (HaSS) > Psychological Sciences and Health > Physical Activity for Health Depositing user: Pure Administrator Date deposited: 15 Apr 2021 11:35 Last modified: 12 Dec 2024 11:12 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/76105