Comparison of Physical Activity Measures Using Mobile Phone-Based CalFit and Actigraph

被引:43
|
作者
Donaire-Gonzalez, David [1 ,2 ,3 ,4 ]
de Nazelle, Audrey [1 ,2 ,3 ,5 ]
Seto, Edmund [6 ]
Mendez, Michelle [1 ,2 ,3 ,7 ]
Nieuwenhuijsen, Mark J. [1 ,2 ,3 ]
Jerrett, Michael [6 ]
机构
[1] Ctr Res Environm Epidemiol CREAL, Barcelona 08003, Catalonia, Spain
[2] Hosp del Mar, Res Inst IMIM, Barcelona, Catalonia, Spain
[3] Spanish Consortium Res Epidemiol & Publ Hlth CIBE, Barcelona, Catalonia, Spain
[4] Ramon Llull Univ, Phys Act & Sports Sci Dept, Fundacio Blanquerna, Barcelona, Catalonia, Spain
[5] Univ London Imperial Coll Sci Technol & Med, Ctr Environm Policy, London, England
[6] Univ Calif Berkeley, Sch Publ Hlth, Div Environm Hlth Sci, Berkeley, CA 94720 USA
[7] Univ N Carolina, Dept Nutr, Chapel Hill, NC USA
关键词
cellular phone; accelerometry; global positioning systems; motor activity; monitoring; physiologic; CONCORDANCE CORRELATION-COEFFICIENT;
D O I
10.2196/jmir.2470
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Epidemiological studies on physical activity often lack inexpensive, objective, valid, and reproducible tools for measuring physical activity levels of participants. Novel sensing technologies built into smartphones offer the potential to fill this gap. Objective: We sought to validate estimates of physical activity and determine the usability for large population-based studies of the smartphone-based CalFit software. Methods: A sample of 36 participants from Barcelona, Spain, wore a smartphone with CalFit software and an Actigraph GT3X accelerometer for 5 days. The ease of use (usability) and physical activity measures from both devices were compared, including vertical axis counts (VT) and duration and energy expenditure predictions for light, moderate, and vigorous intensity from Freedson's algorithm. Statistical analyses included (1) Kruskal-Wallis rank sum test for usability measures, (2) Spearman correlation and linear regression for VT counts, (3) concordance correlation coefficient (CCC), and (4) Bland-Altman plots for duration and energy expenditure measures. Results: Approximately 64% (23/36) of participants were women. Mean age was 31 years (SD 8) and mean body mass index was 22 kg/m(2) (SD 2). In total, 25/36 (69%) participants recorded at least 3 days with at least 10 recorded hours of physical activity using CalFit. The linear association and correlations for VT counts were high (adjusted R-2=0.85; correlation coefficient.932, 95% CI 0.931-0.933). CCCs showed high agreement for duration and energy expenditure measures (from 0.83 to 0.91). Conclusions: The CalFit system had lower usability than the Actigraph GT3X because the application lacked a means to turn itself on each time the smartphone was powered on. The CalFit system may provide valid estimates to quantify and classify physical activity. CalFit may prove to be more cost-effective and easily deployed for large-scale population health studies than other specialized instruments because cell phones are already carried by many people.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Systematic review of mobile phone-based teledermatology
    Ashley K. Clark
    Suzana Bosanac
    Baran Ho
    Raja K. Sivamani
    Archives of Dermatological Research, 2018, 310 : 675 - 689
  • [22] Mobile phone-based interventions for smoking cessation
    Whittaker, Robyn
    McRobbie, Hayden
    Bullen, Chris
    Rodgers, Anthony
    Gu, Yulong
    COCHRANE DATABASE OF SYSTEMATIC REVIEWS, 2016, (04):
  • [23] A mobile phone-based physical-social location proof system for mobile social network service
    Ni, Xudong
    Luo, Junzhou
    Zhang, Boying
    Teng, Jin
    Bai, Xiaole
    Liu, Bo
    Xuan, Dong
    SECURITY AND COMMUNICATION NETWORKS, 2016, 9 (13) : 1890 - 1904
  • [24] Mobile phone-based interventions for improving contraception use
    Perinpanathan, Tanaraj
    Maiya, Shilpa
    van Velthoven, Michelle Helena H. M. M. T.
    Nguyen, Amy T.
    Free, Caroline
    Smith, Chris
    COCHRANE DATABASE OF SYSTEMATIC REVIEWS, 2023, (07):
  • [25] A new mobile phone-based ECG monitoring system
    Iwamoto, Junichi
    Yonezawa, Yoshiharu
    Maki, Hiromichi
    Ogawa, Hidekuni
    Ninomiya, Ishio
    Sada, Kouji
    Hamada, Shingo
    Hahn, Allen W.
    Caldwell, W. Morton
    Biomedical Sciences Instrumentation, Vol 43, 2007, 43 : 318 - 323
  • [26] Mobile phone-based surveillance of cardiac patients at home
    Scherr, D.
    Zweiker, R.
    Kollmann, A.
    Kastner, P.
    Schreier, G.
    Fruhwald, F. M.
    JOURNAL OF TELEMEDICINE AND TELECARE, 2006, 12 (05) : 255 - 261
  • [27] Mobile phone-based interventions for improving contraception use
    Smith, Chris
    Gold, Judy
    Ngo, Thoai D.
    Sumpter, Colin
    Free, Caroline
    COCHRANE DATABASE OF SYSTEMATIC REVIEWS, 2015, (06):
  • [28] Wireless and mobile phone-based healthcare to grow rapidly
    不详
    TELEMEDICINE JOURNAL AND E-HEALTH, 2008, 14 (06): : 510 - 511
  • [29] A Mobile Phone-based Arrhythmia Recognition System Using Characteristic Matching Scheme
    Ho, Chen-Shie
    Chang, Yu-Mei
    2018 INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATIONS AND MECHATRONICS ENGINEERING (CCME 2018), 2018, 332 : 111 - 114
  • [30] LIPS: Learning Based Indoor Positioning System Using Mobile Phone-Based Sensors
    Mascharka, David
    Manley, Eric
    2016 13TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC), 2016,