Factors associated with participant compliance in studies using accelerometers

• Published in: Gait & posture Vol. 38; no. 4; pp. 912 - 917
• Main Authors: Lee, Paul H., Macfarlane, Duncan J., Lam, T.H.
• Format: Journal Article
• Language: English
• Published: England Elsevier B.V 01.09.2013
• Subjects: Accelerometry; Accelerometry - statistics & numerical data; Activity monitor; Adherence; Adult; Age Factors; Cohort Studies; Educational Status; Employment - statistics & numerical data; Female; Health Status; Hong Kong - epidemiology; Humans; Linear Models; Male; Middle Aged; Monitoring, Ambulatory - statistics & numerical data; Motor Activity; Orthopedics; Participation; Patient Compliance - statistics & numerical data; Physical activity; Self Report; Sex Factors; Smoking - epidemiology; Time Factors; Hong Kong; Adherence; Participation; Physical activity; Accelerometry; Activity monitor
• ISSN: 0966-6362; 1879-2219; 1879-2219
• DOI: 10.1016/j.gaitpost.2013.04.018

•We investigated factors associated with accelerometer compliance.•Participants wore the accelerometer on average for 13.9h in a 24-h day.•Those with full-time job, healthier, and older participants tended to comply.•These results provide details for sample size calculation for accelerometer studies. Participant compliance is an important issue in studies using accelerometers. Some participants wear the accelerometer for the duration specified by the researchers but many do not. We investigated a range of demographic factors associated with participant compliance in obtaining analyzable accelerometer data. A total of 3601 participants (aged 47.6±13.1 years, 44.6% male) were included. They were asked to wear an accelerometer (ActiGraph) for four consecutive days after completing a household survey during March 2009–January 2011 in Hong Kong. Participants wore the accelerometer on average for 13.9h in a 24-h day. No significant difference was found between males and females (p=0.38). Using log-linear regression, it was found that older participants (0.5% more wearing hours for each year of age, p<0.001), those with full-time job (p<0.01), with tertiary education (p<0.01), non-smokers (p<0.01) and with high self-reported health (p<0.05) wore the accelerometer for more hours. These results provide details for estimating compliance rates for samples with different characteristics and thus sample size calculation to account for participant compliance.