Trial reportBMC public health2018
A comparison of 10 accelerometer non-wear time criteria and logbooks in children.
Trial report in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02132494 (Active Smarter Kids), which is not on this map. Cited by 41 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Active Smarter Kids: A Cluster-randomized Controlled Trial Investigating the Effect of Daily Physical Activity on Children's Academic Performance and on Risk Factors for Lifestyle-related Non-communicable Diseases
Who cites it
41 citing papers in PubMed, 75 citations in OpenAlex.
- Impact of cut-point methods on classification of physical activity and sedentary behaviour of toddlers.BMC public health · 2025Trial
- Multicollinear physical activity accelerometry data and associations to cardiometabolic health: challenges, pitfalls, and potential solutions.The international journal of behavioral nutrition and physical activity · 2019Trial
- Comparison and validation of accelerometer wear time and non-wear time algorithms for assessing physical activity levels in children and adolescents.BMC medical research methodology · 2019Trial
- Examining Associations Between Preschool Executive Control and Adolescent Physical Activity, Day-to-Day Physical Activity Variability, and Sedentary Behavior.Journal of physical activity & health · 2026Article
- Correcting Measurement Error and Zero Inflation in Functional Covariates for Scalar-on-Function Quantile Regression.Statistics in medicine · 2026Article
- Tracking of device-measured sedentary time, cardiorespiratory fitness, and cardiometabolic risk factors from childhood to young adulthood.American journal of preventive cardiology · 2025Article
- Beyond the (Log)book: Comparing Accelerometer Nonwear Detection Techniques in Toddlers.Child: care, health and development · 2025Article
- Performance evaluation of a machine learning-based methodology using dynamical features to detect nonwear intervals in actigraphy data in a free-living setting.Sleep health · 2025Article
- Article
- Accelerometer-Measured Physical Activity, Fitness and Indicators of Cardiometabolic Risk among Rural Adolescents: A Cross-Sectional Study at 15-Year Follow-up of the MINIMat Cohort.Journal of epidemiology and global health · 2024Article
- The Effect of Physical Activity Levels on Cognitive Performance: Research in Portuguese Adolescents.Sports (Basel, Switzerland) · 2024Article
- Longitudinal changes in device-measured physical activity from childhood to young adulthood: the PANCS follow-up study.The international journal of behavioral nutrition and physical activity · 2024Article
- Using unsupervised machine learning to quantify physical activity from accelerometry in a diverse and rapidly changing population.PLOS digital health · 2023Article
- An evaluation of data processing when using the ActiGraph GT3X accelerometer in non-ambulant children and adolescents with cerebral palsy.Clinical physiology and functional imaging · 2023Article
- Generalizability and performance of methods to detect non-wear with free-living accelerometer recordings.Scientific reports · 2023Article
- Positive relationships of character strengths with fitness and physical activity in primary school children.Health psychology and behavioral medicine · 2023Article
- Device-measured sedentary time in Norwegian children and adolescents in the era of ubiquitous internet access: secular changes between 2005, 2011 and 2018.International journal of epidemiology · 2022Article
- Validation of a Parent-Reported Physical Activity Questionnaire by Accelerometry in European Children Aged from 6 to 12 Years Old.International journal of environmental research and public health · 2022Article
- Detecting accelerometer non-wear periods using change in acceleration combined with rate-of-change in temperature.BMC medical research methodology · 2022Article
- The Potential for Bias across GPS-Accelerometer Combined Wear Criteria among Adolescents.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThere are many unresolved issues regarding data reduction algorithms for accelerometry. The choice of criterion for removal of non-wear time might have a profound influence on physical activity (PA) and sedentary time (SED) estimates. The aim of the present study was to compare 10 different non-wear criteria and a log of non-wear periods in 11-year-old children.
methodsChildren from the Active Smarter Kids study performed 7-days of hip-worn accelerometer monitoring (Actigraph GT3X+) and logged the number of non-wear periods each day, along with the approximate duration and reason for non-wear. Accelerometers were analyzed using 10 different non-wear criteria: ≥ 10, 20, 30, 45, 60, and 90 min of consecutive zero counts without allowance for interruptions, and ≥60 and 90 min with allowance for 1 and 2 min of interruptions.
results891 children provided 5203 measurement days, and reported 1232 non-wear periods ranging from 0 to 3 periods per day: on most days children reported no non-wear periods (77.1% of days). The maximum number of non-wear periods per day was 2 for the 90-min criterion, 3 to 5 for most criteria, 7 for the 20-min criterion, and 20 for the 10-min criterion. The non-wear criteria influenced overall PA (mean values across all criteria: 591 to 649 cpm; 10% difference) and SED time (461 to 539 min/day; 17% difference) estimates, especially for the most prolonged SED bouts. Estimates were similar for time spent in intensity-specific (light, moderate, vigorous, and moderate-to-vigorous) PA, but varied 6-9% among the non-wear criteria for proportions of time spent in intensity-specific PA (% of total wear time).
conclusionsPopulation level estimates of PA and SED differed between different accelerometer non-wear criteria, meaning that non-wear time algorithms should be standardized across studies to reduce confusion and improve comparability of children's PA level. Based on the numbers and reasons for non-wear periods, we suggest a 45 or 60-min consecutive zero count-criterion not allowing any interruptions to be applied in future pediatric studies, at least for children older than 10 years.
trial registrationThe study is registered in Clinicaltrials.gov with identification number NCT02132494 . Registered 7 April 2014.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.