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, 47 (4), 725-34

Accelerometer Adherence and Performance in a Cohort Study of US Hispanic Adults


Accelerometer Adherence and Performance in a Cohort Study of US Hispanic Adults

Kelly R Evenson et al. Med Sci Sports Exerc.


Purpose: This study described participant adherence to wearing the accelerometer and accelerometer performance in a cohort study of adults.

Methods: From 2008 to 2011, 16,415 US Hispanic/Latino adults age 18-74 yr enrolled in the Hispanic Community Health Study/Study of Latinos. Immediately after the baseline visit, participants wore an Actical accelerometer for 1 wk. This study explored correlates of accelerometer participation and adherence, defined as wearing it for at least three of a possible six days for ≥10 h·d. Accelerometer performance was assessed by exploring the number of different values of accelerometer counts per minute for each participant.

Results: Overall, 92.3% (n = 15,153) had at least 1 d with accelerometer data and 77.7% (n = 12,750) were adherent. Both accelerometer participation and adherence were higher among participants who were married or partnered, reported a higher household income, were first-generation immigrants, or reported lower sitting time. Participation was also higher among those with no stair limitations. Adherence was higher among participants who were male, older, employed or retired, not US born, preferred Spanish over English, reported higher work activity or lower recreational activity, and with a lower body mass index. Among the sample that met the adherence definition, the maximum recorded count per minute was 12,000, and there were a total of 5846 different counts per minute. On average, participants had 112.5 different counts per minute over 6 d (median, 106; interquartile range, 91-122). The number of different counts per minute was higher among men, younger ages, normal weight, and those with higher accelerometer-assessed physical activity.

Conclusion: Several correlates differed between accelerometer participation and adherence. These characteristics could be targeted in future studies to improve accelerometer wear. The performance of the accelerometer provided insight into creating a more accurate nonwear algorithm.


Figure 1
Figure 1
Heat map for all possible counts/minute ranging from 1 to 12,000 among participants with at least 3 compliant days of accelerometer data (n=12,750); HCHS/SOL 2008-2011. The three blue colors classify the frequency (minutes*day*participants) of counts/minute into categories. The white indicates the count/minute was never recorded for any participant. The x-axis unit is in hundreds whereas the y-axis unit is in thousands. Zero counts/minute is not shown on the figure.

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