Literature DB >> 22971884

Validation and comparison of 3 accelerometers for measuring physical activity intensity during nonlocomotive activities and locomotive movements.

Yuki Hikihara1, Shigeho Tanaka, Kazunori Ohkawara, Kazuko Ishikawa-Takata, Izumi Tabata.   

Abstract

BACKGROUND: The current study evaluated the validity of 3 commercially-available accelerometers to assess metabolic equivalent values (METs) during 12 activities.
METHODS: Thirty-three men and thirty-two women were enrolled in this study. The subjects performed 5 nonlocomotive activities and 7 locomotive movements. The Douglas bag method was used to gather expired air. The subjects also wore 3 hip accelerometers, a Lifecorder uniaxial accelerometer (LC), and 2 triaxial accelerometers (ActivTracer, AT; Actimarker, AM).
RESULTS: For nonlocomotive activities, the LC largely underestimated METs for all activities (20.3%-55.6%) except for desk work. The AT overestimated METs for desk work (11.3%) and hanging clothes (11.7%), but underestimated for vacuuming (2.3%). The AM underestimated METs for all nonlocomotive activities (8.0%-19.4%) except for hanging clothes (overestimated by 16.7%). The AT and AM errors were significant, but much smaller than the LC errors (23.2% for desk work and -22.3 to -55.6% for the other activities). For locomotive movements, the 3 accelerometers significantly underestimated METs for all activities except for climbing down stairs.
CONCLUSIONS: We conclude that there were significant differences for most activities in 3 accelerometers. However, the AT, which uses separate equations for nonlocomotive and locomotive activities, was more accurate for nonlocomotive activities than the LC.

Entities:  

Mesh:

Year:  2012        PMID: 22971884     DOI: 10.1123/jpah.9.7.935

Source DB:  PubMed          Journal:  J Phys Act Health        ISSN: 1543-3080


  11 in total

Review 1.  Physical activity assessment tools for use in overweight and obese children.

Authors:  C V L Ellery; H A Weiler; T J Hazell
Journal:  Int J Obes (Lond)       Date:  2013-07-05       Impact factor: 5.095

2.  The association between obesity and sedentary behavior or daily physical activity among children with Down's syndrome aged 7-12 years in Japan: A cross-sectional study.

Authors:  Erika Yamanaka; Takayo Inayama; Kazunori Ohkawara; Kanzo Okazaki; Ichiro Kita
Journal:  Heliyon       Date:  2020-09-14

3.  Evaluation of physical activity and its relationship to health-related quality of life in patients on chronic hemodialysis.

Authors:  Akihiko Katayama; Nobuyuki Miyatake; Hiroyuki Nishi; Kazuhiro Uzike; Noriko Sakano; Hiroo Hashimoto; Kiichi Koumoto
Journal:  Environ Health Prev Med       Date:  2014-02-05       Impact factor: 3.674

Review 4.  Validity of activity monitors in health and chronic disease: a systematic review.

Authors:  Hans Van Remoortel; Santiago Giavedoni; Yogini Raste; Chris Burtin; Zafeiris Louvaris; Elena Gimeno-Santos; Daniel Langer; Alastair Glendenning; Nicholas S Hopkinson; Ioannis Vogiatzis; Barry T Peterson; Frederick Wilson; Bridget Mann; Roberto Rabinovich; Milo A Puhan; Thierry Troosters
Journal:  Int J Behav Nutr Phys Act       Date:  2012-07-09       Impact factor: 6.457

5.  Daily Physical Activity Assessed by a Triaxial Accelerometer Is Beneficially Associated with Waist Circumference, Serum Triglycerides, and Insulin Resistance in Japanese Patients with Prediabetes or Untreated Early Type 2 Diabetes.

Authors:  Hidetaka Hamasaki; Mitsuhiko Noda; Sumie Moriyama; Reo Yoshikawa; Hisayuki Katsuyama; Akahito Sako; Shuichi Mishima; Masafumi Kakei; Osamu Ezaki; Hidekatsu Yanai
Journal:  J Diabetes Res       Date:  2015-05-10       Impact factor: 4.011

6.  Prediction models discriminating between nonlocomotive and locomotive activities in children using a triaxial accelerometer with a gravity-removal physical activity classification algorithm.

Authors:  Yuki Hikihara; Chiaki Tanaka; Yoshitake Oshima; Kazunori Ohkawara; Kazuko Ishikawa-Takata; Shigeho Tanaka
Journal:  PLoS One       Date:  2014-04-22       Impact factor: 3.240

7.  Physical Activity May Be Associated with Conditioned Pain Modulation in Women but Not Men among Healthy Individuals.

Authors:  Yukiko Shiro; Tatsunori Ikemoto; Yuta Terasawa; Young-Chang P Arai; Kazuhiro Hayashi; Takahiro Ushida; Takako Matsubara
Journal:  Pain Res Manag       Date:  2017-09-26       Impact factor: 3.037

8.  Verification of a Motion Sensor for Evaluating Physical Activity in COPD Patients.

Authors:  Seiko Miyamoto; Yoshiaki Minakata; Yuichiro Azuma; Kazumi Kawabe; Hideya Ono; Ryuta Yanagimoto; Tadatoshi Suruda
Journal:  Can Respir J       Date:  2018-04-23       Impact factor: 2.409

9.  Effects of promoting daily physical activity on physical and mental health in older individuals.

Authors:  Naoto Takayanagi; Katsuro Kitamura; Takeshi Yamauchi; Ichiro Tokimitsu
Journal:  J Phys Ther Sci       Date:  2018-10-12

10.  Simple Prediction of Metabolic Equivalents of Daily Activities Using Heart Rate Monitor without Calibration of Individuals.

Authors:  Yuko Caballero; Takafumi J Ando; Satoshi Nakae; Chiyoko Usui; Tomoko Aoyama; Motofumi Nakanishi; Sho Nagayoshi; Yoko Fujiwara; Shigeho Tanaka
Journal:  Int J Environ Res Public Health       Date:  2019-12-27       Impact factor: 3.390

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