Your browser doesn't support javascript.
loading
A validation study of the WHOOP strap against polysomnography to assess sleep.
Miller, Dean J; Lastella, Michele; Scanlan, Aaron T; Bellenger, Clint; Halson, Shona L; Roach, Gregory D; Sargent, Charli.
Afiliación
  • Miller DJ; The Appleton Institute for Behavioural Science, Central Queensland University , Adelaide, Australia.
  • Lastella M; The Appleton Institute for Behavioural Science, Central Queensland University , Adelaide, Australia.
  • Scanlan AT; Human Exercise and Training Laboratory, Central Queensland University , Rockhampton, Australia.
  • Bellenger C; Alliance for Research in Exercise, Nutrition and Activity (ARENA), Sansom Institute for Health Research, University of South Australia , Adelaide, Australia.
  • Halson SL; South Australian Sports Institute , Adelaide, Australia.
  • Roach GD; School of Behavioural and Health Sciences, Australian Catholic University , Banyo, Australia.
  • Sargent C; The Appleton Institute for Behavioural Science, Central Queensland University , Adelaide, Australia.
J Sports Sci ; 38(22): 2631-2636, 2020 Nov.
Article en En | MEDLINE | ID: mdl-32713257
ABSTRACT
The aim of the study was to compare the WHOOP strap - a wearable device that estimates sleep based on measures of movement and heart rate derived from actigraphy and photoplethysmography, respectively. Twelve healthy adults (6 females, 6 males, aged 22.9 ± 3.4 years) participated in a 10-day, laboratory-based protocol. A total of 86 sleeps were independently assessed in 30-s epochs using polysomnography and WHOOP. For WHOOP, bed times were entered by researchers and sleeps were scored by the company based on proprietary algorithms. WHOOP overestimated total sleep time by 8.2 ± 32.9 minutes compared to polysomnography, but this difference was non-significant. WHOOP was compared to polysomnography for 2-stage (i.e., wake, sleep) and 4-stage categorisation (i.e., wake, light sleep [N1 or N2], slow-wave sleep [N3], REM) of sleep periods. For 2-stage categorisation, the agreement, sensitivity to sleep, specificity for wake, and Cohen's kappa were 89%, 95%, 51%, and 0.49, respectively. For 4-stage categorisation, the agreement, sensitivity to light sleep, SWS, REM, and wake, and Cohen's kappa were 64%, 62%, 68%, 70%, 51%, and 0.47, respectively. In situations where polysomnography is impractical (e.g., field settings), WHOOP is a reasonable method for estimating sleep, particularly for 2-stage categorisation, if accurate bedtimes are manually entered.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Sueño / Polisomnografía / Actigrafía / Dispositivos Electrónicos Vestibles Límite: Adult / Female / Humans / Male Idioma: En Revista: J Sports Sci Año: 2020 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Sueño / Polisomnografía / Actigrafía / Dispositivos Electrónicos Vestibles Límite: Adult / Female / Humans / Male Idioma: En Revista: J Sports Sci Año: 2020 Tipo del documento: Article País de afiliación: Australia