Physical activity among children: Objective measurements using Fitbit One® and ActiGraph

被引:35
|
作者
Hamari L. [1 ,6 ]
Kullberg T. [2 ]
Ruohonen J. [2 ]
Heinonen O.J. [3 ,6 ]
Díaz-Rodríguez N. [4 ]
Lilius J. [4 ]
Pakarinen A. [1 ,6 ]
Myllymäki A. [1 ,5 ]
Leppänen V. [2 ]
Salanterä S. [1 ,6 ]
机构
[1] Department of Nursing Science, University of Turku, Turku
[2] Department of Information Technology, University of Turku, Turku
[3] Paavo Nurmi Centre, Department of Physical Activity and Health, University of Turku, Kiinamyllynkatu 10, Turku
[4] Turku Centre for Computer Science (TUCS), Department of Information Technologies, Åbo Akademi University, Joukahaisenkatu 3-5 A, Turku
[5] Health and Well-being Unit, Turku University of Applied Sciences, Ruiskatu 8, Turku
[6] Turku University Hospital, Kiinamyllynkatu 4-8, Turku
关键词
Accelerometer; Children; Investigative techniques; Motor activity; Movement; Physical activity;
D O I
10.1186/s13104-017-2476-1
中图分类号
学科分类号
摘要
Background: Self-quantification of health parameters is becoming more popular; thus, the validity of the devices requires assessments. The aim of this study was to evaluate the validity of Fitbit One step counts (Fitbit Inc., San Francisco, CA, USA) against Actigraph wActisleep-BT step counts (ActiGraph, LLC, Pensacola, FL, USA) for measuring habitual physical activity among children. Design: The study was implemented as a cross-sectional experimental design in which participants carried two waist-worn activity monitors for five consecutive days. Methods: The participants were chosen with a purposive sampling from three fourth grade classes (9-10 year olds) in two comprehensive schools. Altogether, there were 34 participants in the study. From these, eight participants were excluded from the analysis due to erroneous data. Primary outcome measures for step counts were Fitbit One and Actigraph wActisleep-BT. The supporting outcome measures were based on activity diaries and initial information sheets. Classical Bland-Altman plots were used for reporting the results. Results: The average per-participant daily difference between the step counts from the two devices was 1937. The range was [116, 5052]. Fitbit One gave higher step counts for all but the least active participant. According to a Bland-Altman plot, the hourly step counts had a relative large mean bias across participants (161 step counts). The differences were partially explained by activity intensity: higher intensity denoted higher differences, and light intensity denoted lower differences. Conclusions: Fitbit One step counts are comparable to Actigraph step counts in a sample of 9-10-year-old children engaged in habitual physical activity in sedentary and light physical activity intensities. However, in moderate-to-vigorous physical activity, Fitbit One gives higher step counts when compared to Actigraph. © 2017 The Author(s).
引用
收藏
相关论文
共 50 条
  • [41] Calibration of two objective measures of physical activity for children
    Evenson, Kelly R.
    Catellier, Diane J.
    Gill, Karminder
    Ondrak, Kristin S.
    McMurray, Robert G.
    JOURNAL OF SPORTS SCIENCES, 2008, 26 (14) : 1557 - 1565
  • [42] Objective Physical Activity of a Longitudinal Cohort of Young Children
    Edwards, Nicholas M.
    Khoury, Philip R.
    Claytor, Randal P.
    Daniels, Stephen R.
    JOURNAL OF GENERAL INTERNAL MEDICINE, 2012, 27 : 394 - 394
  • [43] Validating Fitbit Zip for monitoring physical activity of children in school: a cross-sectional study
    Mooses, Kerli
    Oja, Marek
    Reisberg, Sulev
    Vilo, Jaak
    Kull, Merike
    BMC PUBLIC HEALTH, 2018, 18
  • [44] USING FITBIT AS PART OF A LIFESTYLE PHYSICAL ACTIVITY INTERVENTION FOR DEPRESSED, ALCOHOL DEPENDENT WOMEN
    Abrantes, A. M.
    Blevins, C.
    Battle, C.
    Read, J. P.
    Gordon, A.
    Stein, M.
    ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, 2017, 41 : 301A - 301A
  • [45] Using Fitbit as an mHealth Intervention Tool to Promote Physical Activity: Potential Challenges and Solutions
    Balbim, Guilherme M.
    Marques, Isabela G.
    Marquez, David X.
    Patel, Darshilmukesh
    Sharp, Lisa K.
    Kitsiou, Spyros
    Nyenhuis, Sharmilee M.
    JMIR MHEALTH AND UHEALTH, 2021, 9 (03):
  • [46] The Need for Objective Physical Activity Measurements in Routine Bariatric Care
    Ellen Kuipers
    Josien Timmerman
    Marc van Det
    Miriam Vollenbroek-Hutten
    Obesity Surgery, 2022, 32 : 2975 - 2986
  • [47] The Need for Objective Physical Activity Measurements in Routine Bariatric Care
    Kuipers, Ellen
    Timmerman, Josien
    van Det, Marc
    Vollenbroek-Hutten, Miriam
    OBESITY SURGERY, 2022, 32 (09) : 2975 - 2986
  • [48] New validated thresholds for various intensities of physical activity in adolescents using the Actigraph accelerometer
    Vanhelst, Jeremy
    Beghin, Laurent
    Turck, Dominique
    Gottrand, Frederic
    INTERNATIONAL JOURNAL OF REHABILITATION RESEARCH, 2011, 34 (02) : 175 - 177
  • [49] Physical Activity Category Classification Using The Actigraph Gt9x In Youth
    LaMunion, Samuel R.
    Hibbing, Paul R.
    Kaplan, Andrew S.
    Crouter, Scott E.
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2018, 50 (05): : 295 - 295
  • [50] Comparison of Physical Activity Measures Using Mobile Phone-Based CalFit and Actigraph
    Donaire-Gonzalez, David
    de Nazelle, Audrey
    Seto, Edmund
    Mendez, Michelle
    Nieuwenhuijsen, Mark J.
    Jerrett, Michael
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2013, 15 (06)