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Feasibility of a wearable biosensor device to characterize exercise and sleep in neurology residents.
Niotis, Kellyann; Saif, Nabeel; Simonetto, Marialaura; Wu, Xian; Yan, Peter; Lakis, Jessica P; Ariza, Ingrid Estrada; Buckholz, Adam P; Sharma, Nivita; Fink, Matthew E; Isaacson, Richard S.
Afiliación
  • Niotis K; 2019-2020 McGraw Fellow in Neurology Research; Department of Neurology, Weill Cornell Medicine and New York-Presbyterian, New York, NY, USA.
  • Saif N; Department of Neurology, Weill Cornell Medicine, New York, NY, USA.
  • Simonetto M; Departments of Internal Medicine and Neurology, Weill Cornell Medicine and New York-Presbyterian, New York, NY, USA.
  • Wu X; Division of Biostatistics and Epidemiology, Weill Cornell Medicine and Department of Healthcare Policy & Research, New York-Presbyterian, New York, NY, USA.
  • Yan P; Department of Neurology, Beth Israel Deaconess Hospital-Milton Center for Specialty Care, Milton, MA, USA.
  • Lakis JP; Office of Development, New York-Presbyterian, New York, NY, USA.
  • Ariza IE; Department of Neurology, Weill Cornell Medicine, New York, NY, USA.
  • Buckholz AP; Department of Internal Medicine, Weill Cornell Medicine and New York-Presbyterian, New York, NY, USA.
  • Sharma N; Weill Cornell Medical College, New York, NY, USA.
  • Fink ME; Department of Neurology, Weill Cornell Medicine, New York, NY, USA.
  • Isaacson RS; Department of Neurology, Weill Cornell Medicine, New York, NY, USA.
Expert Rev Med Devices ; 18(11): 1123-1131, 2021 Nov.
Article en En | MEDLINE | ID: mdl-34632903
ABSTRACT

BACKGROUND:

Research suggests optimizing sleep, exercise and work-life balance may improve resident physician burnout. Wearable biosensors may allow residents to detect and correct poor sleep and exercise habits before burnout develops. Our objectives were to evaluate the feasibility of a wearable biosensor to characterize exercise/sleep in neurology residents and examine its relationship to self-reported, validated survey measures. We also assessed the device's impact on well-being and barriers to use.

METHODS:

This prospective cohort study evaluated the WHOOP Strap 2.0 in neurology residents. Participants completed regular online surveys, including self-reported hours of sleep/exercise, and validated sleep/exercise scales at 3-month intervals. Autonomic, exercise, and sleep measures were obtained from WHOOP. Changes were evaluated over time via linear regression. Survey and WHOOP metrics were compared using Pearson correlations.

RESULTS:

Sixteen (72.7%) of 22 eligible participants enrolled. Eleven (68.8%) met the minimum usage requirement (6+ months) and were classified as 'consecutive wearers.' Significant increases were found in sleep duration and exercise intensity. Moderate-to-low correlations were found between survey responses and WHOOP measures. Most (73%) participants reported a positive impact on well-being. Barriers to use included 'Forgetting to wear' (20%) and 'not motivational' (23.3%).

CONCLUSION:

Wearable biosensors may be a feasible tool to evaluate sleep/exercise in residents.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Técnicas Biosensibles / Dispositivos Electrónicos Vestibles / Internado y Residencia / Neurología Tipo de estudio: Observational_studies Idioma: En Revista: Expert Rev Med Devices Asunto de la revista: DIAGNOSTICO POR IMAGEM / TERAPEUTICA Año: 2021 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Técnicas Biosensibles / Dispositivos Electrónicos Vestibles / Internado y Residencia / Neurología Tipo de estudio: Observational_studies Idioma: En Revista: Expert Rev Med Devices Asunto de la revista: DIAGNOSTICO POR IMAGEM / TERAPEUTICA Año: 2021 Tipo del documento: Article