Beyond the (Log)book: Comparing Accelerometer Nonwear Detection Techniques in Toddlers.
Background: Accelerometers are increasingly used to measure physical activity and sedentary time in toddlers. Data cleaning or wear time validation can impact outcomes of interest, particularly in young children who spend less time awake. However, no study has systematically compared wear time valid...
| Publicado en: | Child: Care, Health & Development Vol. 51; no. 4; pp. 1 - 12 |
|---|---|
| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jul2025
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187022029&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187022029 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03051862 6NX jtl: Child: Care, Health & Development issn: 03051862 maglogo: Y pubinfo: dt: Jul2025 vid: 51 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 187022029 187022029 187022029 10.1111/cch.70133 187022029 ppf: 1 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: Beyond the (Log)book: Comparing Accelerometer Nonwear Detection Techniques in Toddlers. aug: au: Letts, Elyse da Silva, Sarah M. Di Cristofaro, Natascja King‐Dowling, Sara Obeid, Joyce affil: Child Health & Exercise Medicine Program, Department of Pediatrics, McMaster University, Hamilton, Canada sug: subj: Accelerometers In Infancy and Childhood Wearable Sensors In Infancy and Childhood Automation Algorithms Parents Self Report Diaries Physical Activity Evaluation Sedentary Behavior Evaluation Human Funding Source Comparative Studies Child, Preschool Actigraphy Hip Descriptive Statistics Sleep Child, Preschool: 2-5 years ab: Background: Accelerometers are increasingly used to measure physical activity and sedentary time in toddlers. Data cleaning or wear time validation can impact outcomes of interest, particularly in young children who spend less time awake. However, no study has systematically compared wear time validation strategies in toddlers. As such, the objective of this study is to compare different fully automated methods of distinguishing wear and nonwear time (counts and raw data algorithms) methods to the semi automated (counts with logbooks) criterion method in toddlers. Methods: We recruited 109 toddlers (age 12–35 months) as part of the iPLAY study to wear an ActiGraph w‐GT3X‐BT accelerometer on the right hip for ~7 consecutive days (removed for sleep and water activities). Parents completed a logbook to indicate monitor removal and nap times. We tested 15 nonwear detection methods grouped into four main categories: semi‐automated logbook, consecutive 0 counts, modified consecutive 0 counts (Troiano and Choi) and raw data methods (van Hees and Ahmadi). Using semi‐automated logbooks as the criterion standard (all wear and wake‐time only wear), we calculated the accuracy and F1 scores (a metric which balances precision and recall) and compared overall wear time with a two one‐sided test of equivalence. Results: Participant daily wear time ranged from 556 to 684 min/day depending on method. Accuracy and F1 score ranged from 86% to 95%. Five methods were considered equivalent to the AllWear nonwear criterion (true wear time including sleep‐time wear), with only one equivalent to the AwakeWear criterion. Mean absolute differences were lower for the AllWear criterion but ranged from 49 to 192 min/day. Conclusions: The 5min0count, 10min_0count, 30min_0count, Troiano60s and Ahmadi methods provide high accuracy and equivalency when compared with semi‐automated cleaning using logbooks. This paper provides insights and quantitative results that can help researchers decide which method may be the most appropriate given their population of interest, sample size and study protocol. SUMMARY: The choice of nonwear detection method can significantly change total wear time in toddlers.Nap times pose challenges when assessing wake‐time wear.The selection of a nonwear detection method may be dependent on the population of interest, sample size and study protocol. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|