Normative wrist-worn accelerometer values for self-paced walking and running: a walk in the park

被引:7
作者
Dawkins, Nathan P. [1 ,2 ]
Yates, Tom [1 ,2 ]
Soczawa-Stronczyk, Artur A. [3 ]
Bocian, Mateusz [3 ,4 ,5 ]
Edwardson, Charlotte L. [1 ,2 ]
Maylor, Ben [1 ,2 ]
Davies, Melanie J. [1 ,2 ]
Khunti, Kamlesh [1 ,6 ]
Rowlands, Alex, V [1 ,2 ,7 ]
机构
[1] Univ Leicester, Leicester Gen Hosp, Diabet Res Ctr, Leicester LE5 4PW, Leics, England
[2] Leicester Gen Hosp, NIHR Leicester Biomed Res Ctr, Leicester, Leics, England
[3] Univ Leicester, Sch Engn, Leicester, Leics, England
[4] Univ Leicester, Biomech & Immers Technol Lab, Leicester, Leics, England
[5] Wroclaw Univ Sci & Technol, Dept Bridges & Railways, Wroclaw, Poland
[6] Leicester Gen Hosp, NIHR Appl Res Collaborat East Midlands, Leicester, Leics, England
[7] Univ South Australia, Sansom Inst Hlth Res, Div Hlth Sci, Alliance Res Exercise Nutr & Act Arena, Adelaide, SA, Australia
关键词
Physical activity; device measured; accelerometer; activity monitors; CROSS-SECTIONAL ANALYSIS; PHYSICAL-ACTIVITY; CANCER-MORTALITY; ALL-CAUSE; ASSOCIATION; STRENGTH; DISEASE; ADULTS; SPEED;
D O I
10.1080/02640414.2021.1976491
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
This study aimed to a) determine whether wrist acceleration varies by accelerometer brand, wear location, and age for self-paced "slow", "normal" and "brisk" walking; b) develop normative acceleration values for self-paced walking and running for adults. One-hundred-and-three adults (40-79 years) completed self-paced "slow", "normal" and "brisk" walks, while wearing three accelerometers (GENEActiv, Axivity, ActiGraph) on each wrist. A sub-sample (n = 22) completed a self-paced run. Generalized estimating equations established differences by accelerometer brand, wrist, and age-group (walking only, 40-49, 50-59, 60-69, 70-79 years) for self-paced walking and running. Brand*wrist interactions showed ActiGraph dominant wrist values were similar to 10% lower than GENEActiv/Axivity values for walking and running, and non-dominant ActiGraph values were similar to 5% lower for running only (p < 0.001). Acceleration during brisk walking was lower in those aged 70-79 (p < 0.05). Normative acceleration values (non-dominant wrist, all brands; dominant wrist GENEActiv/Axivity) for slow and normal walking were 140 mg and 210 mg. Brisk walking, values were 350 mg in those aged 40-69 years, but 270 mg in those aged 70-79 years. Accelerations >600 mg approximated running. These values facilitate user-friendly interpretation of accelerometer-determined physical activity in large cohort and epidemiological datasets.
引用
收藏
页码:81 / 88
页数:8
相关论文
共 41 条
  • [31] Enhancing the value of accelerometer-assessed physical activity: meaningful visual comparisons of data-driven translational accelerometer metrics
    Rowlands, Alex, V
    Dawkins, Nathan P.
    Ben Maylor
    Edwardson, Charlotte L.
    Fairclough, Stuart J.
    Davies, Melanie J.
    Harrington, Deirdre M.
    Khunti, Kamlesh
    Yates, Tom
    [J]. SPORTS MEDICINE-OPEN, 2019, 5 (01)
  • [32] Accelerometer-assessed Physical Activity in Epidemiology: Are Monitors Equivalent?
    Rowlands, Alex V.
    Mirkes, Evgeny M.
    Yates, Tom
    Clemes, Stacey
    Davies, Melanie
    Khunti, Kamlesh
    Edwardson, Charlotte L.
    [J]. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2018, 50 (02) : 257 - 265
  • [33] Raw Accelerometer Data Analysis with GGIR R-package: Does Accelerometer Brand Matter?
    Rowlands, Alex V.
    Yates, Tom
    Davies, Melanie
    Khunti, Kamlesh
    Edwardson, Charlotte L.
    [J]. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2016, 48 (10) : 1935 - 1941
  • [34] Self-rated walking pace and all-cause, cardiovascular disease and cancer mortality: individual participant pooled analysis of 50 225 walkers from 11 population British cohorts
    Stamatakis, Emmanuel
    Kelly, Paul
    Strain, Tessa
    Murtagh, Elaine M.
    Ding, Ding
    Murphy, Marie H.
    [J]. BRITISH JOURNAL OF SPORTS MEDICINE, 2018, 52 (12) : 761 - 768
  • [35] Taylor Kathryn L, 2010, Int J Exerc Sci, V3, P87
  • [36] A timely meeting: Objective measurement of physical activity
    Troiano, RP
    [J]. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2005, 37 (11) : S487 - S489
  • [37] Using Cadence to Study Free-Living Ambulatory Behaviour
    Tudor-Locke, Catrine
    Rowe, David A.
    [J]. SPORTS MEDICINE, 2012, 42 (05) : 381 - 398
  • [38] Walking as a Contributor to Physical Activity in Healthy Older Adults: 2 Week Longitudinal Study Using Accelerometry and the Doubly Labeled Water Method
    Valenti, Giulio
    Bonomi, Alberto G.
    Westerterp, Klaas R.
    [J]. JMIR MHEALTH AND UHEALTH, 2016, 4 (02): : 279 - 286
  • [39] Gait speed assessed by a 4-m walk test is not representative of daily-life gait speed in community-dwelling adults
    Van Ancum, Jeanine M.
    van Schooten, Kimberley S.
    Jonkman, Nini H.
    Huijben, Bas
    van Lummel, Rob C.
    Meskers, Carel G. M.
    Maier, Andrea B.
    Pijnappels, Mirjam
    [J]. MATURITAS, 2019, 121 : 28 - 34
  • [40] Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: an evaluation on four continents
    van Hees, Vincent T.
    Fang, Zhou
    Langford, Joss
    Assah, Felix
    Mohammad, Anwar
    da Silva, Inacio C. M.
    Trenell, Michael I.
    White, Tom
    Wareham, Nicholas J.
    Brage, Soren
    [J]. JOURNAL OF APPLIED PHYSIOLOGY, 2014, 117 (07) : 738 - 744