Trial reportBMC medical research methodology2019
Comparison and validation of accelerometer wear time and non-wear time algorithms for assessing physical activity levels in children and adolescents.
Trial report in BMC medical research methodology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02844101 (Assess Whether Knowledge by the Children and Adolescents of the Function of the Accelerometer Determines Its Amount of Physical Activity), which is not on this map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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.
Assess Whether Knowledge by the Children and Adolescents of the Function of the Accelerometer Determines Its Amount of Physical Activity
Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of the validity, reliability, and feasibility of measurement tools used to assess the physical activity and sedentary behaviour of pre-school aged children.The international journal of behavioral nutrition and physical activity · 2021Pooled it
- Trial
- A systematic review of prolonged posture monitoring with accelerometer-based wearable sensors.PLOS digital health · 2026Article
- Association between ADHD symptoms and device-measured physical activity and sedentary behavior in childhood: A population-based twin study.JCPP advances · 2026Article
- Evaluating chest-worn light logger adherence: development and application of a wear/non-wear model.Scientific reports · 2026Article
- Implementation of a pragmatic pathway to ensure high-quality processing of heterogeneous remote health sensing data.Smart health (Amsterdam, Netherlands) · 2026Article
- Correcting Measurement Error and Zero Inflation in Functional Covariates for Scalar-on-Function Quantile Regression.Statistics in medicine · 2026Article
- Association of physical activity and rest-activity rhythm with sustained attention and melatonin among community-dwelling older adults.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026Article
- Sedentary behaviour and physical activity levels in Swedish adolescents with and without intellectual disabilities.BMC pediatrics · 2026Article
- Cleaning and pre-processing of actigraphy data for physical activity and sleep research: a scoping review.Physiological measurement · 2026Article
- Is non-adherence to Canadian 24-h movement guidelines associated with emotional and behavioral difficulties in Brazilian adolescents?Journal of exercise science and fitness · 2026Article
- Physical activity is associated with fatigue in persons newly diagnosed with multiple sclerosis.Multiple sclerosis and related disorders · 2025Article
- Identifying chest-worn light logger adherence: a validation study.medRxiv : the preprint server for health sciences · 2025Article
- The relationship between adherence to 24-h movement guidelines and brain-derived neurotrophic factor in adolescents: a cross-sectional study.European journal of pediatrics · 2025Article
- Beyond the (Log)book: Comparing Accelerometer Nonwear Detection Techniques in Toddlers.Child: care, health and development · 2025Article
- Work is associated with a more robust rest-activity rhythm and high-intensity physical activity among older adults.Aging clinical and experimental research · 2025Article
- Association between biomarkers of redox status and cytokines with different patterns of habitual physical activity in eutrophic and overweight/obese preschoolers: multivariate analysis of a cross-sectional study.BMC public health · 2023Article
- Physical Literacy for Communities (PL4C): physical literacy, physical activity and associations with wellbeing.BMC public health · 2023Article
- Is Wrist Accelerometry Suitable for Threshold Scoring? A Comparison of Hip-Worn and Wrist-Worn ActiGraph Data in Low-Active Older Adults With Obesity.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022Article
- Six-Minute Walk as a Measure of Walking Capacity and Endurance in Patients With Pediatric-Onset Multiple Sclerosis.Neurology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccelerometers are widely used to measure sedentary time and daily physical activity (PA). However, data collection and processing criteria, such as non-wear time rules might affect the assessment of total PA and sedentary time and the associations with health variables. The study aimed to investigate whether the choice of different non-wear time definitions would affect the outcomes of PA levels in youth.
methodsSeventy-seven healthy youngsters (44 boys), aged 10-17 years, wore an accelerometer and kept a non-wear log diary during 4 consecutives days. We compared 7 published algorithms (10, 15, 20, 30, 60 min of continuous zeros, Choi, and Troiano algorithms). Agreements of each algorithm with the log diary method were assessed using Bland-Altmans plots and by calculating the concordance correlation coefficient for repeated measures.
resultsVariations in time spent in sedentary and moderate to vigorous PA (MVPA) were 30 and 3.7%. Compared with the log diary method, greater discrepancies were found for the algorithm 10 min (p < 0.001). For the time assessed in sedentary, the agreement with diary was excellent for the 4 algorithms (Choi, r = 0.79; Troiano, r = 0.81; 30 min, r = 0.79; 60 min, r = 0.81). Concordance for each method was excellent for the assessment of time spent in MVPA (> 0.86). The agreement for the wear time assessment was excellent for 5 algorithms (Choi r = 0.79; Troiano r = 0.79; 20 min r = 0.77; 30 min r = 0.80; 60 min r = 0.80).
conclusionsThe choice of non-wear time rules may considerably affect the sedentary time assessment in youth. Using of appropriate data reduction decision in youth is needed to limit differences in associations between health outcomes and sedentary behaviors and may improve comparability for future studies. Based on our results, we recommend the use of the algorithm of 30 min of continuous zeros for defining non-wear time to improve the accuracy in assessing PA levels in youth.
trial registrationNCT02844101 (retrospectively registered at July 13th 2016).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.