Multicenter Study on Sleep and Circadian Alterations as Objective Markers of Mild Cognitive Impairment and Alzheimer's Disease Reveals Sex Differences: Journal of Alzheimer's Disease

B. Guarnieri; M. Maestri; F. Cucchiara; A. Lo Gerfo; A. Schirru; D. Arnaldi; P. Mattioli; F. Nobili; G. Lombardi; G. Cerroni; A. Bartoli; R. Manni; E. Sinforiani; M. Terzaghi; M.G. Arena; R. Silvestri; C. La Morgia; M.C. DI Perri; F. Franzoni; G. Tognoni; M. Mancuso; S. Sorbi; U. Bonuccelli; G. Siciliano; U. Faraguna; E. Bonanni

doi:10.3233/JAD-200632

Multicenter Study on Sleep and Circadian Alterations as Objective Markers of Mild Cognitive Impairment and Alzheimer's Disease Reveals Sex Differences: Journal of Alzheimer's Disease

B. Guarnieri, M. Maestri, F. Cucchiara, A. Lo Gerfo, A. Schirru, D. Arnaldi, P. Mattioli, F. Nobili, G. Lombardi, G. Cerroni, A. Bartoli, R. Manni, E. Sinforiani, M. Terzaghi, M.G. Arena, R. Silvestri, C. La Morgia, M.C. DI Perri, F. Franzoni, G. TognoniM. Mancuso, S. Sorbi, U. Bonuccelli, G. Siciliano, U. Faraguna, E. Bonanni

Fondazione Stella Maris

Research output: Contribution to journal › Article › peer-review

Abstract

Background: Circadian and sleep disturbances are associated with increased risk of mild cognitive impairment (MCI) and Alzheimer's disease (AD). Wearable activity trackers could provide a new approach in diagnosis and prevention. Objective: To evaluate sleep and circadian rhythm parameters, through wearable activity trackers, in MCI and AD patients as compared to controls, focusing on sex dissimilarities. Methods: Based on minute level data from consumer wearable devices, we analyzed actigraphic sleep parameters by applying an electromedical type I registered algorithm, and the corresponding circadian variables in 158 subjects: 86 females and 72 males (42 AD, 28 MCI, and 88 controls). Moreover, we used a confusion-matrix chart method to assess accuracy, precision, sensitivity, and specificity of two decision-tree models based on actigraphic data in predicting disease or health status. Results: Wake after sleep onset (WASO) was higher (p

Original language	English
Pages (from-to)	1707-1719
Number of pages	13
Journal	J. Alzheimer's Dis.
Volume	78
Issue number	4
DOIs	https://doi.org/10.3233/JAD-200632
Publication status	Published - 2020

Keywords

Alzheimer's disease
circadian rhythms
confusion matrix
mild cognitive impairment
sex differences
sleep disturbances
sleep parameters
sleep regularity index
wearable activity tracker

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Guarnieri, B., Maestri, M., Cucchiara, F., Lo Gerfo, A., Schirru, A., Arnaldi, D., Mattioli, P., Nobili, F., Lombardi, G., Cerroni, G., Bartoli, A., Manni, R., Sinforiani, E., Terzaghi, M., Arena, M. G., Silvestri, R., La Morgia, C., DI Perri, M. C., Franzoni, F., ... Bonanni, E. (2020). Multicenter Study on Sleep and Circadian Alterations as Objective Markers of Mild Cognitive Impairment and Alzheimer's Disease Reveals Sex Differences: Journal of Alzheimer's Disease. J. Alzheimer's Dis., 78(4), 1707-1719. https://doi.org/10.3233/JAD-200632

Guarnieri, B, Maestri, M, Cucchiara, F, Lo Gerfo, A, Schirru, A, Arnaldi, D, Mattioli, P, Nobili, F, Lombardi, G, Cerroni, G, Bartoli, A, Manni, R, Sinforiani, E, Terzaghi, M, Arena, MG, Silvestri, R, La Morgia, C, DI Perri, MC, Franzoni, F, Tognoni, G, Mancuso, M, Sorbi, S, Bonuccelli, U, Siciliano, G, Faraguna, U & Bonanni, E 2020, 'Multicenter Study on Sleep and Circadian Alterations as Objective Markers of Mild Cognitive Impairment and Alzheimer's Disease Reveals Sex Differences: Journal of Alzheimer's Disease', J. Alzheimer's Dis., vol. 78, no. 4, pp. 1707-1719. https://doi.org/10.3233/JAD-200632

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title = "Multicenter Study on Sleep and Circadian Alterations as Objective Markers of Mild Cognitive Impairment and Alzheimer's Disease Reveals Sex Differences: Journal of Alzheimer's Disease",

abstract = "Background: Circadian and sleep disturbances are associated with increased risk of mild cognitive impairment (MCI) and Alzheimer's disease (AD). Wearable activity trackers could provide a new approach in diagnosis and prevention. Objective: To evaluate sleep and circadian rhythm parameters, through wearable activity trackers, in MCI and AD patients as compared to controls, focusing on sex dissimilarities. Methods: Based on minute level data from consumer wearable devices, we analyzed actigraphic sleep parameters by applying an electromedical type I registered algorithm, and the corresponding circadian variables in 158 subjects: 86 females and 72 males (42 AD, 28 MCI, and 88 controls). Moreover, we used a confusion-matrix chart method to assess accuracy, precision, sensitivity, and specificity of two decision-tree models based on actigraphic data in predicting disease or health status. Results: Wake after sleep onset (WASO) was higher (p",

keywords = "Alzheimer's disease, circadian rhythms, confusion matrix, mild cognitive impairment, sex differences, sleep disturbances, sleep parameters, sleep regularity index, wearable activity tracker",

author = "B. Guarnieri and M. Maestri and F. Cucchiara and {Lo Gerfo}, A. and A. Schirru and D. Arnaldi and P. Mattioli and F. Nobili and G. Lombardi and G. Cerroni and A. Bartoli and R. Manni and E. Sinforiani and M. Terzaghi and M.G. Arena and R. Silvestri and {La Morgia}, C. and {DI Perri}, M.C. and F. Franzoni and G. Tognoni and M. Mancuso and S. Sorbi and U. Bonuccelli and G. Siciliano and U. Faraguna and E. Bonanni",

note = "Cited By :1 Export Date: 19 March 2021 CODEN: JADIF Correspondence Address: Guarnieri, B.; Center of Sleep Medicine, Italy; email: bmariaguarnieri@villaserena.it",

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T1 - Multicenter Study on Sleep and Circadian Alterations as Objective Markers of Mild Cognitive Impairment and Alzheimer's Disease Reveals Sex Differences

T2 - Journal of Alzheimer's Disease

AU - Guarnieri, B.

AU - Maestri, M.

AU - Cucchiara, F.

AU - Lo Gerfo, A.

AU - Schirru, A.

AU - Arnaldi, D.

AU - Mattioli, P.

AU - Nobili, F.

AU - Lombardi, G.

AU - Cerroni, G.

AU - Bartoli, A.

AU - Manni, R.

AU - Sinforiani, E.

AU - Terzaghi, M.

AU - Arena, M.G.

AU - Silvestri, R.

AU - La Morgia, C.

AU - DI Perri, M.C.

AU - Franzoni, F.

AU - Tognoni, G.

AU - Mancuso, M.

AU - Sorbi, S.

AU - Bonuccelli, U.

AU - Siciliano, G.

AU - Faraguna, U.

AU - Bonanni, E.

N1 - Cited By :1 Export Date: 19 March 2021 CODEN: JADIF Correspondence Address: Guarnieri, B.; Center of Sleep Medicine, Italy; email: bmariaguarnieri@villaserena.it

PY - 2020

Y1 - 2020

N2 - Background: Circadian and sleep disturbances are associated with increased risk of mild cognitive impairment (MCI) and Alzheimer's disease (AD). Wearable activity trackers could provide a new approach in diagnosis and prevention. Objective: To evaluate sleep and circadian rhythm parameters, through wearable activity trackers, in MCI and AD patients as compared to controls, focusing on sex dissimilarities. Methods: Based on minute level data from consumer wearable devices, we analyzed actigraphic sleep parameters by applying an electromedical type I registered algorithm, and the corresponding circadian variables in 158 subjects: 86 females and 72 males (42 AD, 28 MCI, and 88 controls). Moreover, we used a confusion-matrix chart method to assess accuracy, precision, sensitivity, and specificity of two decision-tree models based on actigraphic data in predicting disease or health status. Results: Wake after sleep onset (WASO) was higher (p

AB - Background: Circadian and sleep disturbances are associated with increased risk of mild cognitive impairment (MCI) and Alzheimer's disease (AD). Wearable activity trackers could provide a new approach in diagnosis and prevention. Objective: To evaluate sleep and circadian rhythm parameters, through wearable activity trackers, in MCI and AD patients as compared to controls, focusing on sex dissimilarities. Methods: Based on minute level data from consumer wearable devices, we analyzed actigraphic sleep parameters by applying an electromedical type I registered algorithm, and the corresponding circadian variables in 158 subjects: 86 females and 72 males (42 AD, 28 MCI, and 88 controls). Moreover, we used a confusion-matrix chart method to assess accuracy, precision, sensitivity, and specificity of two decision-tree models based on actigraphic data in predicting disease or health status. Results: Wake after sleep onset (WASO) was higher (p

KW - Alzheimer's disease

KW - circadian rhythms

KW - confusion matrix

KW - mild cognitive impairment

KW - sex differences

KW - sleep disturbances

KW - sleep parameters

KW - sleep regularity index

KW - wearable activity tracker

U2 - 10.3233/JAD-200632

DO - 10.3233/JAD-200632

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VL - 78

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JO - J. Alzheimer's Dis.

JF - J. Alzheimer's Dis.

SN - 1387-2877

IS - 4

ER -

Multicenter Study on Sleep and Circadian Alterations as Objective Markers of Mild Cognitive Impairment and Alzheimer's Disease Reveals Sex Differences: Journal of Alzheimer's Disease

Abstract

Keywords

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