ArticleMedicine and science in sports and exercise2018
Comparison of Two Generations of ActiGraph Accelerometers: The CARDIA Study.
Article in Medicine and science in sports and exercise, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed.
- Associations of Accelerometer-Determined Sedentary and Physical Activity Behaviors with Heart Failure Biomarkers during Midlife: CARDIA Study.Medicine and science in sports and exercise · 2026Article
- Adapting the Intensity Gradient for Use with Count-Based Accelerometry Data in Children and Adolescents.Sensors (Basel, Switzerland) · 2024Article
- Physical activity and sedentary behavior among ambulatory children with cerebral palsy using accelerometer: a cross-sectional study.Frontiers in pediatrics · 2024Article
- Quantification of acceleration as activity counts in ActiGraph wearable.Scientific reports · 2022Article
- Evaluation of Sedentary Behavior and Physical Activity Levels Using Different Accelerometry Protocols in Children from the GENOBOX Study.Sports medicine - open · 2021Article
- Longitudinal bidirectional associations of physical activity and depressive symptoms: The CARDIA study.Preventive medicine reports · 2021Article
- Cardiovascular risk and functional burden at midlife: Prospective associations of isotemporal reallocations of accelerometer-measured physical activity and sedentary time in the CARDIA study.Preventive medicine · 2021Article
- Bidirectional associations of accelerometer-derived physical activity and stationary behavior with self-reported mental and physical health during midlife.The international journal of behavioral nutrition and physical activity · 2021Article
- Bidirectional associations of accelerometer measured sedentary behavior and physical activity with knee pain, stiffness, and physical function: The CARDIA study.Preventive medicine reports · 2021Article
- Descriptive epidemiology of objectively-measured, free-living sleep parameters in a rural African setting.BMC research notes · 2020Article
- Article
- Perceived and objective characteristics of the neighborhood environment are associated with accelerometer-measured sedentary time and physical activity, the CARDIA Study.Preventive medicine · 2019Article
- Associations of Accelerometer-Measured Sedentary Time and Physical Activity With Prospectively Assessed Cardiometabolic Risk Factors: The CARDIA Study.Journal of the American Heart Association · 2019Article
- Ten-Year Changes in Accelerometer-Based Physical Activity and Sedentary Time During Midlife: The CARDIA Study.American journal of epidemiology · 2018Article
- ActiGraph and Short-term Heart Rate Variability Study Protocol: Amended for the COVID-19 Pandemic.The Journal of cardiovascular nursingArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
purposeThis study aimed to examine the comparability of the ActiGraph 7164 and wGT3X-BT wear time, count-based estimates, and average time per day in physical activity of different intensities.
methodsWe studied 87 Coronary Artery Risk Development in Young Adults (CARDIA) participants 48-60 yr of age who simultaneously wore the 7164 and wGT3X-BT accelerometers at the waist in 2015-2016, with wear time of ≥4 of 7 d, ≥10 h·d for both monitors. Freedson cutpoints (counts per minute) were used to define sedentary (<100), light (100-1951), moderate (1952-5724), and vigorous activity (≥5725). Agreement was evaluated using paired-difference tests, intraclass correlation coefficients, and Bland-Altman plots. Given systematic differences in count-based estimates between monitors, a calibration formula applied to the wGT3X-BT values was obtained by linear regression.
resultsTotal detected wear time minutes per day was nearly identical between the 7164 and the wGT3X-BT (881.5 ± 70.9 vs 880.3 ± 78.1, P = 0.72). The wGT3X-BT values were calibrated to the 7164 values by dividing counts by 1.088. After calibration, no differences were observed between the 7164 and the wGT3X-BT in total counts per day (310,184 ± 129,189 vs 307,085 ± 135,362, P = 0.48), average counts per min per day (349.5 ± 139.5 vs 346.5 ± 147.2, P = 0.54), sedentary (513.2 ± 93.6 vs 509.6 ± 98.6, P = 0.23), light (335.3 ± 81.5 vs 338.7 ± 81.1, P = 0.22), moderate (31.0 ± 21.9 vs 30.3 ± 23.4, P = 0.31), or moderate-to-vigorous minutes per day (33.1 ± 24.6 vs 32.0 ± 26.0, P = 0.13). A significant difference was observed for vigorous minutes per day (0.2 ± 1.0 vs 0.0 ± 0.3, P < 0.01); however, the absolute difference was marginal. Intraclass correlation coefficients showed excellent agreement for all measures (0.95-0.99).
conclusionsAfter applying a calibration formula, the 7164 and wGT3X-BT were comparable for total wear time, count-based estimates, and average minutes per day in sedentary, light, moderate, and moderate-to-vigorous activity. Findings illustrate a novel methodological approach to facilitate accelerometer data harmonization.
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