Impact of accelerometer data processing decisions on the sample size, wear time and physical activity level of a large cohort study

BMC Public Health

I-Min Lee³  Patty S Freedson¹  Eric J Shiroma³  Sarah Kozey Keadle² 

[1] Department of Kinesiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA;Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA;Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA

关键词: Sedentary behavior;    Behavioral epidemiology;    Exposure assessment;    Measurement;    Physical activity;   

Others  :  1122904
DOI  :  10.1186/1471-2458-14-1210

 received in 2014-07-17, accepted in 2014-11-17,  发布年份 2014

【 摘 要 】

Background

Accelerometers objectively assess physical activity (PA) and are currently used in several large-scale epidemiological studies, but there is no consensus for processing the data. This study compared the impact of wear-time assessment methods and using either vertical (V)-axis or vector magnitude (VM) cut-points on accelerometer output.

Methods

Participants (7,650 women, mean age 71.4 y) were mailed an accelerometer (ActiGraph GT3X+), instructed to wear it for 7 days, record dates and times the monitor was worn on a log, and return the monitor and log via mail. Data were processed using three wear-time methods (logs, Troiano or Choi algorithms) and V-axis or VM cut-points.

Results

Using algorithms alone resulted in "mail-days" incorrectly identified as "wear-days" (27-79% of subjects had >7-days of valid data). Using only dates from the log and the Choi algorithm yielded: 1) larger samples with valid data than using log dates and times, 2) similar wear-times as using log dates and times, 3) more wear-time (V, 48.1 min more; VM, 29.5 min more) than only log dates and Troiano algorithm. Wear-time algorithm impacted sedentary time (~30-60 min lower for Troiano vs. Choi) but not moderate-to-vigorous (MV) PA time. Using V-axis cut-points yielded ~60 min more sedentary time and ~10 min less MVPA time than using VM cut-points.

Conclusions

Combining log-dates and the Choi algorithm was optimal, minimizing missing data and researcher burden. Estimates of time in physical activity and sedentary behavior are not directly comparable between V-axis and VM cut-points. These findings will inform consensus development for accelerometer data processing in ongoing epidemiologic studies.

【 授权许可】

   
2014 Keadle et al.; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

Figure 2.

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