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Validation of Fitbit Charge 4 for assessing sleep in Chinese patients with chronic insomnia: A comparison against polysomnography and actigraphy.
Dong, Xiaofang; Yang, Sen; Guo, Yuanli; Lv, Peihua; Wang, Min; Li, Yusheng.
Afiliação
  • Dong X; Neurology Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
  • Yang S; Orthopedics Department, The Seventh Hospital of Zhengzhou, Zhengzhou, Henan Province, China.
  • Guo Y; Neurology Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
  • Lv P; Neurology Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
  • Wang M; Neurology Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
  • Li Y; Neurology Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
PLoS One ; 17(10): e0275287, 2022.
Article em En | MEDLINE | ID: mdl-36256631
ABSTRACT
Our research aims to assess the performance of a new generation of consumer activity trackers (Fitbit Charge 4TM FBC) to measure sleep variables and sleep stage classifications in patients with chronic insomnia, compared to polysomnography (PSG) and a widely used actigraph (Actiwatch Spectrum Pro AWS). We recruited 37 participants, all diagnosed with chronic insomnia disorder, for one night of sleep monitoring in a sleep laboratory using PSG, AWS, and FBC. Epoch-by-epoch analysis along with Bland-Altman plots was used to evaluate FBC and AWS against PSG for sleep-wake detection and sleep variables total sleep time (TST), sleep efficiency (SE), waking after sleep onset (WASO), and sleep onset latency (SOL). FBC sleep stage classification of light sleep (LS), deep sleep (DS), and rapid eye movement (REM) was also compared to that of PSG. When compared with PSG, FBC notably underestimated DS (-41.4, p < 0.0001) and SE (-4.9%, p = 0.0016), while remarkably overestimating LS (37.7, p = 0.0012). However, the TST, WASO, and SOL assessed by FBC presented no significant difference from that assessed by PSG. Compared with PSG, AWS and FBC showed great accuracy (86.9% vs. 86.5%) and sensitivity (detecting sleep; 92.6% vs. 89.9%), but comparatively poor specificity (detecting wake; 35.7% vs. 62.2%). Both devices showed better accuracy in assessing sleep than wakefulness, with the same sensitivity but statistically different specificity. FBC supplied equivalent parameters estimation as AWS in detecting sleep variables except for SE. This research shows that FBC cannot replace PSG thoroughly in the quantification of sleep variables and classification of sleep stages in Chinese patients with chronic insomnia; however, the user-friendly and low-cost wearables do show some comparable functions. Whether FBC can serve as a substitute for actigraphy and PSG in patients with chronic insomnia needs further investigation.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Actigrafia / Distúrbios do Início e da Manutenção do Sono Tipo de estudo: Diagnostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Actigrafia / Distúrbios do Início e da Manutenção do Sono Tipo de estudo: Diagnostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China