Concurrent validity of the Fitbit for assessing sedentary behavior and moderate-to-vigorous physical activity

被引:44
作者
Redenius, Nicklaus [1 ]
Kim, Youngwon [3 ,4 ]
Byun, Wonwoo [2 ]
机构
[1] North Dakota State Univ, Dept Hlth Nutr & Exercise Sci, Fargo, ND 58108 USA
[2] Univ Utah, Dept Hlth Kinesiol & Recreat, Salt Lake City, UT 84112 USA
[3] Univ Hong Kong, Sch Publ Hlth, Li Ka Shing Fac Med, Div Kinesiol,Pokfulam, Room 301D 3-F, Hong Kong, Peoples R China
[4] Univ Cambridge, Sch Med, MRC Epidemiol Unit, Cambridge, Cambs, England
关键词
Physical activity; Sedentary behavior; Validity; Accelerometer; Public health; ENERGY-EXPENDITURE; ACTIVITY MONITORS; VALIDATION; WRIST; ACCELEROMETERS; ACTIGRAPH; CONSUMER; HIP; RELIABILITY; ADULTS;
D O I
10.1186/s12874-019-0668-1
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
BackgroundRecent advances in sensor technologies have promoted the use of consumer-based accelerometers such as Fitbit Flex in epidemiological and clinical research; however, the validity of the Fitbit Flex in measuring sedentary behavior (SED) and physical activity (PA) has not been fully determined against previously validated research-grade accelerometers such as ActiGraph GT3X+. Therefore, the purpose of this study was to examine the concurrent validity of the Fitbit Flex against ActiGraph GT3X+ in a free-living condition.MethodsA total of 65 participants (age: M=42, SD=14years, female: 72%) each wore a Fitbit Flex and GT3X+ for seven consecutive days. After excluding sleep and non-wear time, time spent (min/day) in SED and moderate-to-vigorous PA (MVPA) were estimated using various cut-points for GT3X+ and brand-specific algorithms for Fitbit, respectively. Repeated measures one-way ANOVA and mean absolute percent errors (MAPE) served to examine differences and measurement errors in SED and MVPA estimates between Fitbit Flex and GT3X+, respectively. Pearson and Spearman correlations and Bland-Altman (BA) plots were used to evaluate the association and potential systematic bias between Fitbit Flex and GT3X+. PROC MIXED procedure in SAS was used to examine the equivalence (i.e., the 90% confidence interval with 10% equivalence zone) between the devices.ResultsFitbit Flex produced similar SED and low MAPE (mean difference [MD]=37min/day, P=.21, MAPE=6.8%), but significantly higher MVPA and relatively large MAPE (MD=59-77min/day, P<.0001, MAPE=56.6-74.3%) compared with the estimates from GT3X+ using three different cut-points. The correlations between Fitbit Flex and GT3X+ were consistently higher for SED (r=0.90, =0.86, P<.01), but weaker for MVPA (r=0.65-0.76, =0.69-0.79, P<.01). BA plots revealed that there is no apparent bias in estimating SED.Conclusion In comparison with the GT3X+ accelerometer, the Fitbit Flex provided comparatively accurate estimates of SED, but the Fitbit Flex overestimated MVPA under free-living conditions. Future investigations using the Fitbit Flex should be aware of present findings.
引用
收藏
页数:9
相关论文
共 47 条
[1]   Reliability of the Actigraph GT3X+Accelerometer in Adults under Free-Living Conditions [J].
Aadland, Eivind ;
Ylvisaker, Einar .
PLOS ONE, 2015, 10 (08)
[2]   Validation of Fitbit-Flex as a measure of free-living physical activity in a community-based phase III cardiac rehabilitation population [J].
Alharbi, Muaddi ;
Bauman, Adrian ;
Neubeck, Lis ;
Gallagher, Robyn .
EUROPEAN JOURNAL OF PREVENTIVE CARDIOLOGY, 2016, 23 (14) :1476-1485
[3]   Comparison of Consumer and Research Monitors under Semistructured Settings [J].
Bai, Yang ;
Welk, Gregory J. ;
Nam, Yoon Ho ;
Lee, Joey A. ;
Lee, Jung-Min ;
Kim, Youngwon ;
Meier, Nathan F. ;
Dixon, Philip M. .
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2016, 48 (01) :151-158
[4]   Differences in Physical Activity Prevalence and Trends From 3 U.S. Surveillance Systems: NHIS, NHANES, and BRFSS [J].
Carlson, Susan A. ;
Densmore, Dianna ;
Fulton, Janet E. ;
Yore, Michelle M. ;
Kohl, Harold W., III .
JOURNAL OF PHYSICAL ACTIVITY & HEALTH, 2009, 6 :S18-S27
[5]   Accuracy of Intensity and Inclinometer Output of Three Activity Monitors for Identification of Sedentary Behavior and Light-Intensity Activity [J].
Carr, Lucas J. ;
Mahar, Matthew T. .
JOURNAL OF OBESITY, 2012, 2012 :1-9
[6]   The technology of accelerometry-based activity monitors: Current and future [J].
Chen, KY ;
Bassett, DR .
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2005, 37 (11) :S490-S500
[7]   Validation of Accelerometer Wear and Nonwear Time Classification Algorithm [J].
Choi, Leena ;
Liu, Zhouwen ;
Matthews, Charles E. ;
Buchowski, Maciej S. .
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2011, 43 (02) :357-364
[8]  
Comstock J, REPORT SAMSUNG FITBI
[9]   International physical activity questionnaire:: 12-country reliability and validity [J].
Craig, CL ;
Marshall, AL ;
Sjöström, M ;
Bauman, AE ;
Booth, ML ;
Ainsworth, BE ;
Pratt, M ;
Ekelund, U ;
Yngve, A ;
Sallis, JF ;
Oja, P .
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2003, 35 (08) :1381-1395
[10]   Estimating energy expenditure using accelerometers [J].
Crouter, Scott E. ;
Churilla, James R. ;
Bassett, David R., Jr. .
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY, 2006, 98 (06) :601-612