Measuring Physical Activity in Free-Living Conditions-Comparison of Three Accelerometry-Based Methods

被引:52
|
作者
Leinonen, Anna-Maiju [1 ,2 ,3 ]
Ahola, Riikka [1 ,4 ,5 ]
Kulmala, Janne [6 ]
Hakonen, Harto [6 ]
Vaha-Ypya, Henri [7 ]
Herzig, Karl-Heinz [4 ,5 ,8 ,9 ,10 ]
Auvinen, Juha [4 ,5 ,11 ]
Keinanen-Kiukaanniemi, Sirkka [4 ,5 ,11 ]
Sievanen, Harri
Tammelin, Tuija H. [6 ]
Korpelainen, Raija [3 ,4 ,5 ,11 ]
Jamsa, Timo [1 ,2 ,4 ,5 ,12 ]
机构
[1] Univ Oulu, Res Unit Med Imaging Phys & Technol, Oulu, Finland
[2] Univ Oulu, Infotech Oulu, Oulu, Finland
[3] Oulu Deaconess Inst, Dept Sports & Exercise Med, Oulu, Finland
[4] Oulu Univ Hosp, Med Res Ctr, Oulu, Finland
[5] Univ Oulu, Oulu, Finland
[6] LIKES Res Ctr Sport & Hlth Sci, Jyvaskyla, Finland
[7] UKK Inst Hlth Promot Res, Tampere, Finland
[8] Univ Oulu, Res Unit Biomed, Oulu, Finland
[9] Poznan Univ Med Sci, Dept Gastroenterol & Metab, Poznan, Poland
[10] Univ Oulu, Bioctr Oulu, Oulu, Finland
[11] Univ Oulu, Ctr Life Course Hlth Res, Oulu, Finland
[12] Oulu Univ Hosp, Diagnost Radiol, Oulu, Finland
来源
FRONTIERS IN PHYSIOLOGY | 2017年 / 7卷
关键词
accelerometer; agreement; middle-aged; objective measurement; sedentary time; CUT-POINTS; SEDENTARY BEHAVIOR; RAW ACCELERATION; UNITED-STATES; TIME SPENT; WRIST; HIP; COMPARABILITY; INTENSITY; MORTALITY;
D O I
10.3389/fphys.2016.00681
中图分类号
Q4 [生理学];
学科分类号
071003 ;
摘要
We examined the agreement in time spent on different physical activity (PA) levels using (1) mean amplitude deviation (MAD) of raw acceleration from the hip, (2) wrist-worn Polar Active, and (3) hip-worn Actigraph counts using Freedson's cut-points among adults under free-living conditions. PA was measured in 41 volunteers (mean age 47.6 years) for 14 days. Two MET-based threshold sets were used for MAD and Polar Active for sedentary time (ST) and time spent in light (LPA), moderate (MPA), and vigorous (VPA) PA. Actigraph counts were divided into PA classes, =100 counts/min for ST and Freedson's cut-points for LPA, MPA, and VPA. Analysis criteria were simultaneous use of devices for at least 4 days of >500 min/d. The between-method differences were analyzed using a repeated measures analysis of variance test. Bland-Altman plots and ROC graphs were also employed. Valid data were available from 27 participants. Polar Active produced the highest amount of VPA with both thresholds (=5 and =6 MET; mean difference 17.9-30.9 min/d, P < 0.001). With the threshold 3-6 MET for MPA, Polar Active indicated 19.2 min/d more than MAD (95% CI 5.8-32.6) and 51.0 min/d more than Actigraph (95% CI 36.7-65.2). The results did not differ with 3.5-5 MET for MPA [F(1.44, 37.43) = 1.92, P = 0.170]. MAD and Actigraph were closest to each other for ST with the threshold <1.5 MET (mean difference 22.2 min/d, 95% CI 7.1-37.3). With the threshold < 2 MET, Polar Active and Actigraph provided similar results (mean difference 7.0 min/d, 95% CI -17.8-31.7). Moderate to high agreement (area under the ROC curve 0.8060.963) was found between the methods for the fulfillment of the recommendation for daily moderate-to-vigorous PA of 60 min. In free-living conditions the agreement between MAD, Polar Active, and Actigraph for measuring time spent on different activity levels in adults was dependent on the activity thresholds used and PA intensity. ROC analyses showed moderate to high agreement for the fulfillment of the recommendation for daily MVPA. Without additional statistical adjustment, these methods cannot be used interchangeably when measuring daily PA, but any of the methods can be used to identify persons with insufficient daily amount of MVPA.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Measuring free-living energy expenditure and physical activity with triaxial accelerometry
    Plasqui, G
    Joosen, AMCP
    Kester, AD
    Goris, AHC
    Westerterp, K
    OBESITY RESEARCH, 2005, 13 (08): : 1363 - 1369
  • [2] Validity of Accelerometry for Estimating Free-Living Physical Activity
    Crouter, Scott E.
    DellaValle, Diane M.
    Horton, Magdalene
    Haas, Jere D.
    Frongillo, Edward A.
    Bassett, David R.
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2010, 42 (05): : 118 - 118
  • [3] Wrist-specific accelerometry methods for estimating free-living physical activity
    Kingsley, Michael I. C.
    Nawaratne, Rashmika
    O'Halloran, Paul D.
    Montoye, Alexander H. K.
    Alahakoon, Damminda
    De Silva, Daswin
    Staley, Kiera
    Nicholson, Matthew
    JOURNAL OF SCIENCE AND MEDICINE IN SPORT, 2019, 22 (06) : 677 - 683
  • [4] Accelerometry-Based Activity Spectrum in Persons With Chronic Physical Conditions
    van den Berg-Emons, Rita J.
    Bussmann, Johannes B.
    Stam, Henk J.
    ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION, 2010, 91 (12): : 1856 - 1861
  • [5] Measuring free-living energy expenditure and physical activity with tri-axial accelerometry
    Plasqui, G
    Joosen, A
    Kester, A
    Westerterp, K
    OBESITY RESEARCH, 2004, 12 : A76 - A76
  • [6] A comparative evaluation of three accelerometry-based physical activity monitors
    Welk, GJ
    Blair, SN
    Wood, K
    Jones, S
    Thompson, RW
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2000, 32 (09): : S489 - S497
  • [7] Reliability of physical activity measures from accelerometry among preschoolers in free-living conditions
    Toschke, Julia Anna
    von Kries, Ruediger
    Rosenfeld, Eva
    Toschke, Andre Michael
    CLINICAL NUTRITION, 2007, 26 (04) : 416 - 420
  • [8] Evaluation of methods to assess physical activity in free-living conditions
    Leenders, NYJM
    Sherman, WM
    Nagaraja, HN
    Kien, CL
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2001, 33 (07): : 1233 - 1240
  • [9] Comparison of uniaxial and triaxial accelerometry in the assessment of physical activity among adolescents under free-living conditions: the HELENA study
    Vanhelst, Jeremy
    Beghin, Laurent
    Duhamel, Alain
    Bergman, Patrick
    Sjostrom, Michael
    Gottrand, Frederic
    BMC MEDICAL RESEARCH METHODOLOGY, 2012, 12
  • [10] Comparison of uniaxial and triaxial accelerometry in the assessment of physical activity among adolescents under free-living conditions: the HELENA study
    Jérémy Vanhelst
    Laurent Béghin
    Alain Duhamel
    Patrick Bergman
    Michael Sjöström
    Frédéric Gottrand
    BMC Medical Research Methodology, 12