The Validity of a New Consumer-Targeted Wrist Device in Sleep Measurement: An Overnight Comparison Against Polysomnography in Children and Adolescents - PubMed
- ️Mon Jan 01 2018
Comparative Study
. 2018 Apr 15;14(4):585-591.
doi: 10.5664/jcsm.7050.
Affiliations
- PMID: 29609722
- PMCID: PMC5886436
- DOI: 10.5664/jcsm.7050
Comparative Study
The Validity of a New Consumer-Targeted Wrist Device in Sleep Measurement: An Overnight Comparison Against Polysomnography in Children and Adolescents
Anu-Katriina Pesonen et al. J Clin Sleep Med. 2018.
Abstract
Study objectives: The validity of consumer-targeted wrist-worn sleep measurement systems has been little studied in children and adolescents. We examined the validity of a new fitness tracker (PFT) manufactured by Polar Electro Oy and the previously validated Actiwatch 2 (AW2) from Philips Respironics against polysomnography (PSG) in children and adolescents.
Methods: Seventeen children (age 11.0 ± 0.8 years) and 17 adolescents (age 17.8 ± 1.8 years) wore the PFT and AW2 concurrently with an ambulatory PSG in their own home for 1 night. We compared sleep onset, offset, sleep interval (time from sleep on to offset), actual sleep time (time scored as sleep between sleep on and offset), and wake after sleep onset (WASO) between accelerometers and PSG. Sensitivity, specificity, and accuracy were calculated from the epoch-by-epoch data.
Results: Both devices performed adequately against PSG, with excellent sensitivity for both age groups (> 0.91). In terms of specificity, the PFT was adequate in both groups (> 0.77), and AW2 adequate in children (0.68) and poor in adolescents (0.58). In the younger group, the PFT underestimated actual sleep time by 29.9 minutes and AW2 underestimated actual sleep time by 43.6 minutes. Both overestimated WASO, PFT by 24.4 minutes and AW2 by 20.9 minutes. In the older group, both devices underestimated actual sleep time (PFT by 20.6 minutes and AW2 by 26.8 minutes) and overestimated WASO (PFT by 12.5 minutes and AW2 by 14.3 minutes). Both devices were accurate in defining sleep onset.
Conclusions: This study suggests that this consumer-targeted wrist-worn device performs as well as, or even better than, the previously validated AW2 against PSG in children and adolescents. Both devices underestimated sleep but to a lesser extent than seen in many previous validation studies on research-targeted accelerometers.
Keywords: accelerometer; actigraphy; adolescent; child; polysomnography; sleep; validation.
© 2018 American Academy of Sleep Medicine.
Figures

Bland-Altman plots of the correspondence of the actual sleep time between the devices in the younger (upper panels) and older (bottom panels) age groups. (A1,A2) PSG and PFT, (B1,B2) PSG and AW2, (C1,C2) AW2 and PFT. AW2 = Actiwatch 2, PFT = Polar fitness tracker, PSG = polysomnography.
Similar articles
-
Lee XK, Chee NIYN, Ong JL, Teo TB, van Rijn E, Lo JC, Chee MWL. Lee XK, et al. J Clin Sleep Med. 2019 Sep 15;15(9):1337-1346. doi: 10.5664/jcsm.7932. J Clin Sleep Med. 2019. PMID: 31538605 Free PMC article.
-
Toon E, Davey MJ, Hollis SL, Nixon GM, Horne RS, Biggs SN. Toon E, et al. J Clin Sleep Med. 2016 Mar;12(3):343-50. doi: 10.5664/jcsm.5580. J Clin Sleep Med. 2016. PMID: 26446248 Free PMC article.
-
Validation of the Sleep-Wake Scoring of a New Wrist-Worn Sleep Monitoring Device.
Pigeon WR, Taylor M, Bui A, Oleynk C, Walsh P, Bishop TM. Pigeon WR, et al. J Clin Sleep Med. 2018 Jun 15;14(6):1057-1062. doi: 10.5664/jcsm.7180. J Clin Sleep Med. 2018. PMID: 29852899 Free PMC article.
-
Lux L, Boehlecke B, Lohr KN. Lux L, et al. Rockville (MD): Agency for Healthcare Research and Quality (US); 2004 Sep 1. Rockville (MD): Agency for Healthcare Research and Quality (US); 2004 Sep 1. PMID: 26065047 Free Books & Documents. Review.
-
Schyvens AM, Van Oost NC, Aerts JM, Masci F, Peters B, Neven A, Dirix H, Wets G, Ross V, Verbraecken J. Schyvens AM, et al. JMIR Mhealth Uhealth. 2024 Mar 27;12:e52192. doi: 10.2196/52192. JMIR Mhealth Uhealth. 2024. PMID: 38557808 Free PMC article. Review.
Cited by
-
Nuuttila OP, Korhonen E, Laukkanen J, Kyröläinen H. Nuuttila OP, et al. Sensors (Basel). 2021 Dec 26;22(1):137. doi: 10.3390/s22010137. Sensors (Basel). 2021. PMID: 35009680 Free PMC article.
-
Czyz EK, King CA, Al-Dajani N, Zimmermann L, Hong V, Nahum-Shani I. Czyz EK, et al. JAMA Netw Open. 2023 Aug 1;6(8):e2328005. doi: 10.1001/jamanetworkopen.2023.28005. JAMA Netw Open. 2023. PMID: 37552477 Free PMC article.
-
Nuuttila OP, Uusitalo A, Kokkonen VP, Weerarathna N, Kyröläinen H. Nuuttila OP, et al. Eur J Sport Sci. 2024 Jul;24(7):857-869. doi: 10.1002/ejsc.12115. Epub 2024 Apr 26. Eur J Sport Sci. 2024. PMID: 38956784 Free PMC article.
-
Menghini L, Cellini N, Goldstone A, Baker FC, de Zambotti M. Menghini L, et al. Sleep. 2021 Feb 12;44(2):zsaa170. doi: 10.1093/sleep/zsaa170. Sleep. 2021. PMID: 32882005 Free PMC article.
-
Lee XK, Chee NIYN, Ong JL, Teo TB, van Rijn E, Lo JC, Chee MWL. Lee XK, et al. J Clin Sleep Med. 2019 Sep 15;15(9):1337-1346. doi: 10.5664/jcsm.7932. J Clin Sleep Med. 2019. PMID: 31538605 Free PMC article.
References
-
- Gradisar M, Gardner G, Dohnt H. Recent worldwide sleep patterns and problems during adolescence: a review and meta-analysis of age, region, and sleep. Sleep Med. 2011;12(2):110–118. - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources