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Sources of variance in daily physical activity levels as measured by an accelerometer
Abstract
PURPOSE: To examine sources of variance in objective measures of physical activity in a group of healthy adults (N = 92) participating in a physical activity measurement study. METHODS: Physical activity was assessed for up to 21 consecutive days using the Computer Science Applications (CSA) accelerometer. Day-of-the-week effects were evaluated for activity counts (ct.min(-1).d(-1), ct.d(-1)) and time (min.d(-1)) spent in inactivity (0-499 ct), moderate-1 (500-1951 ct), and moderate-2-vigorous activity (> or =1952 ct). Random effects models were employed to estimate variance components for subject, day of the week, and residual error from which the number of days of assessment required to achieve 80% reliability were estimated. RESULTS: Physical inactivity was lower on weekend days, and Saturday was the least inactive day of the week for both men and women. Inter-individual variation, or differences between subjects, was proportionally the largest source of variance (55-60% of total) in accelerometer counts and time spent in moderate to vigorous activity. Differences within subjects (intra-individual variation) accounted for 30-45% of the overall variance, and day-of-the-week effects accounted for 1-8%. For activity counts, and time spent in moderate to vigorous activity, at least 3-4 d of monitoring were required to achieve 80% reliability. Reliable measures of physical inactivity required at least 7 d of monitoring. CONCLUSION: These findings provide insight for understanding the behavioral variability in the activity patterns of adults and suggest that reliable measures of activity behaviors require at least 7 d of monitoring.
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Characteristics of physical activities in daily life in chronic obstructive pulmonary disease
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Utility of Pedometers for Assessing Physical Activity: Convergent Validity
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Methods of Measurement in epidemiology: Sedentary Behaviour
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Accelerometers and pedometers: methodology and clinical application
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Relationship of Television Time with Accelerometer-Derived Sedentary Time: NHANES
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“Respondents were asked to recall their average hours of daily TV viewing time over the past 30 days, while accelerometer data collection covered seven days, which has been recommended to obtain a representative measure of habitual physical inactivity (24).”
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Methodology for Using Long-Term Accelerometry Monitoring to Describe Daily Activity Patterns in COPD
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Weekly patterns, diet quality and energy balance
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“In order to meet at least 80% of the data reliability criterion [41], at least three days of the seven days and for a minimum of 500 minutes per day was set as a minimum criterion for the representative data.”
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“Data from a minimum of four and a maximum of seven days was used to summarize activity data and data from individuals with a lesser amount of days were considered invalid and therefore excluded, all according to published recommendations [25–27].”
Metadata
- Authors
- MATTHEWS, C. E., AINSWORTH, B. E., THOMPSON, R. W., & BASSETT, D. R.
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2002-08
- Volume
- 34
- Issue
- 8
- Pages
- 1376-1381
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2058149090
- Cited by
- 612
- References
- 1
- FWCI
- 4.04
- Type
- journal article
- Language
- en
- Open access
- closed
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