ArticleJournal for the measurement of physical behaviour2021
Validity of Two Awake Wear-Time Classification Algorithms for activPAL in Youth, Adults, and Older Adults.
Article in Journal for the measurement of physical behaviour, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Feasibility and Preliminary Efficacy of a "Sit Less" Program Leveraging Fitbit Tracking and Tailored Text Messages in Cardiometabolic Disease: Findings From 2 Parallel Randomized Controlled Trials in Coronary Artery Disease and Type 2 Diabetes.JMIR mHealth and uHealth · 2026Trial
- The Impact of Nordic Pole Walk Advice Alone or in Combination With Exercise Strategies on Daily Physical Activity in Patients With Intermittent Claudication: A Randomized Clinical Trial.Physical therapy · 2023Trial
- Occupational and non-occupational device-measured movement behaviours and low back pain: a compositional isotemporal substitution analysis.BMC musculoskeletal disorders · 2026Article
- Prevalence, correlates, and health associations of 24-hour movement behaviours in Slovenian adults: a protocol for a longitudinal population-based study.Journal of activity, sedentary and sleep behaviors · 2025Article
- Protocol of theBMJ open · 2025Article
- To Identify and Compare ActivPAL Objectively Measured Activity Levels With Self-Reported Activity From the International Physical Activity Questionnaire in Older Adults With Intellectual Disability.Journal of applied research in intellectual disabilities : JARID · 2025Article
- Examining the Feasibility, Acceptability, and Preliminary Efficacy of an Immersive Virtual Reality-Assisted Lower Limb Strength Training for Knee Osteoarthritis: Mixed Methods Pilot Randomized Controlled Trial.JMIR serious games · 2024Article
- Article
- Convergent validity of time in bed estimates from activPAL and Actiwatch in free-living youth and adults.Journal for the measurement of physical behaviour · 2023Article
- Development and performance of a sleep estimation algorithm using a single accelerometer placed on the thigh: an evaluation against polysomnography.Journal of sleep research · 2023Article
- Companion: A Pilot Randomized Clinical Trial to Test an Integrated Two-Way Communication and Near-Real-Time Sensing System for Detecting and Modifying Daily Inactivity among Adults >60 Years-Design and Protocol.Sensors (Basel, Switzerland) · 2023Article
- The Association between Academic Schedule and Physical Activity Behaviors in University Students.International journal of environmental research and public health · 2023Article
- Comparing the activPAL CREA and GHLA Algorithms for the Classification of Postures and Activity in Free-Living Children.International journal of environmental research and public health · 2022Article
- Homes became the "everything space" during COVID-19: impact of changes to the home environment on children's physical activity and sitting.The international journal of behavioral nutrition and physical activity · 2022Article
- CHAP-child: an open source method for estimating sit-to-stand transitions and sedentary bout patterns from hip accelerometers among children.The international journal of behavioral nutrition and physical activity · 2022Article
- Levels and Correlates of Objectively Measured Sedentary Behavior in Young Children: SUNRISE Study Results from 19 Countries.Medicine and science in sports and exercise · 2022Article
- Validity and Reliability of the Daily Activity Behaviours Questionnaire (DABQ) for Assessment of Time Spent in Sleep, Sedentary Behaviour, and Physical Activity.International journal of environmental research and public health · 2022Article
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Authors and funding
11 authors.
Funding
Abstract
backgroundThe authors assessed agreement between participant diaries and two automated algorithms applied to activPAL (PAL Technologies Ltd, Glasgow, United Kingdom) data for classifying awake wear time in three age groups.
methodsStudy 1 involved 20 youth and 23 adults who, by protocol, removed the activPAL occasionally to create nonwear periods. Study 2 involved 744 older adults who wore the activPAL continuously. Both studies involved multiple assessment days. In-bed, out-of-bed, and nonwear times were recorded in the participant diaries. The CREA (in PAL processing suite) and ProcessingPAL (secondary application) algorithms estimated out-of-bed wear time. Second- and day-level agreement between the algorithms and diary was investigated, as were associations of sedentary variables with self-rated health.
resultsThe overall accuracy for classifying out-of-bed wear time as compared with the diary was 89.7% (Study 1) to 95% (Study 2) for CREA and 89.4% (Study 1) to 93% (Study 2) for ProcessingPAL. Over 90% of the nonwear time occurring in nonwear periods >165 min was detected by both algorithms, while <11% occurring in periods ≤165 min was detected. For the daily variables, the mean absolute errors for each algorithm were generally within 0-15% of the diary mean. Most Spearman correlations were very large (≥.81). The mean absolute errors and correlations were less favorable for days on which any nonwear time had occurred. The associations between sedentary variables and self-rated health were similar across processing methods.
conclusionThe automated awake wear-time classification algorithms performed similarly to the diary information on days without short (≤2.5-2.75 hr) nonwear periods. Because both diary and algorithm data can have inaccuracies, best practices likely involve integrating diary and algorithm output.
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