Actigraphy for the Assessment of Sleep Measures in Parkinson's Disease
Open accessAbstract
OBJECTIVES: To assess the usefulness of actigraphy for assessment of nighttime sleep measures in patients with Parkinson's disease (PD). DESIGN: Participants underwent overnight sleep assessment simultaneously by polysomnography (PSG) and actigraphy. SETTING: Overnight sleep study in academic sleep research laboratory. PARTICIPANTS: Sixty-one patients (mean age 67.74 ± 8.88 y) with mild to moderate PD. MEASUREMENTS: Sleep measures including total sleep time (TST), sleep efficiency (SE), wake after sleep onset (WASO), and sleep onset latency (SOL) were calculated independently from data derived from PSG and from actigraphy. Different actigraphy scoring settings were compared. RESULTS: No single tested actigraphy scoring setting was optimal for all sleep measures. A customized setting of an activity threshold of 10, with five consecutive immobile minutes for sleep onset, yielded the combination of mean TST, SE, and WASO values that best approximated mean values determined by PSG with differences of 6.05 ± 85.67 min for TST, 1.1 ± 0.641% for SE, and 4.35 ± 59.56 min for WASO. There were significant but moderate correlations between actigraphy and PSG measurements (rs = 0.496, P < 0.001 for TST, rs = 0.384, P = 0.002 for SE, and rs = 0.400, P = 0.001 for WASO) using these settings. Greater disease stage was associated with greater differences between TST (R(2) = 0.099, beta = 0.315, P = 0.018), SE (R(2) = 0.107, beta = 0.327, P = 0.014), and WASO (R(2) = 0.094, beta = 0.307, P = 0.021) values derived by actigraphy and PSG explaining some of the variability. Using a setting of 10 immobile min for sleep onset yielded a mean SOL that was within 1 min of that estimated by PSG. However SOL values determined by actigraphy and PSG were not significantly correlated at any tested setting. CONCLUSIONS: Our results suggest that actigraphy may be useful for measurement of mean TST, SE, and WASO values in groups of patients with mild to moderate Parkinson's disease. However, there is a significant degree of variability in accuracy among individual patients. The importance of determining optimal scoring parameters for each population studied is underscored.
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Wearables were also used in Parkinson's disease to quantify sleep disturbances, gait measures, freezing of gait, missteps and falls, and physical activity levels.
“Wearables were also used to quantify sleep disturbances [30], gait measures [31, 32], freezing of gait [33, 34], missteps and fall [35, 36], and physical activity levels [37–39].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [30]
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Sleep and Cognition after ICU Admission
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Therapy of Sleep Disorders in Parkinson’s Disease
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Data connectivity and application scenarios
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- Authors
- Maglione, J. E., Liu, L., Neikrug, A. B., Poon, T., Natarajan, L., Calderon, J., Avanzino, J. A., Corey-Bloom, J., Palmer, B. W., Loredo, J. S., & Ancoli-Israel, S.
- Affiliations
- University of California San Diego (US)
- San Diego State University (US)
- Department of Neurosciences, University of California San Diego, San Diego, CA
- Department of Medicine, University of California San Diego, San Diego, CA
- Department of Psychiatry, University of California San Diego, San Diego, CA
- Venue
- Sleep
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-08-01
- Volume
- 36
- Issue
- 8
- Pages
- 1209-1217
- ISSN
- 0161-8105 (ISSN-L)
- 1550-9109
- PMC
- PMC3700718
- OpenAlex
- W1994541526
- Cited by
- 84
- References
- 24
- Citations by year
- 2026: 1 · 2025: 9 · 2024: 9 · 2023: 5 · 2022: 11 · 2021: 13 · 2020: 7 · 2019: 9 · 2018: 5 · 2017: 5 · 2016: 6 · 2015: 1 · 2014: 3
- FWCI
- 4.51
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- SLEEP (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- U.S. Department of Veterans Affairs
- Pfizer
- Center of Excellence for Stress and Mental Health
- University of California, San Diego
- National Institute on Aging (R01AG008415, AG 08415)
- National Institute of Mental Health (T32MH019934)
- National Center for Research Resources (UL1RR031980)
- Sam and Rose Stein Institute for Research on Aging
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Keywords
- actigraphy, Parkinson's disease, sleep assessment, polysomnography comparison, total sleep time, sleep efficiency, wake after sleep onset, sleep latency, disease stage, nocturnal sleep, activity threshold
- MeSH terms
- Aged, Female, Humans, Male, Parkinson Disease, Sleep, Polysomnography, Actigraphy
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