Detecting Sleep/Wake Rhythm Disruption Related to Cognition in Older Adults With and Without Mild Cognitive Impairment Using the myRhythmWatch Platform: Feasibility and Correlation Study

JMIR Aging, Journal Year: 2025, Volume and Issue: 8, P. e67294 - e67294

Published: April 7, 2025

Abstract Background Consumer wearable devices could, in theory, provide sufficient accelerometer data for measuring the 24-hour sleep/wake risk factors dementia that have been identified prior research. To our knowledge, no study older adults has demonstrated feasibility and acceptability of accessing consumer to compute rhythm measures. Objective We aimed establish characterizing measures using gathered from Apple Watch with without mild cognitive impairment (MCI), examine correlations these neuropsychological test performance. Methods Of 40 enrolled (mean [SD] age 67.2 [8.4] years; 72.5% female), 19 had MCI 21 disorder (NCD). Participants were provided devices, oriented software (myRhythmWatch or myRW), asked use system a week. The primary outcome was whether participants collected enough assess (ie, ≥3 valid continuous days). extracted standard nonparametric extended-cosine based metrics. Neuropsychological tests gauged immediate delayed memory (Hopkins Verbal Learning Test) as well processing speed set-shifting (Oral Trails Parts A B). Results All meet providing (≥3 days) mean (SD) recording length somewhat shorter group at 6.6 (1.2) days compared NCD 7.2 (0.6) days. Later activity onset times associated worse performance ( β =−.28). More fragmented rhythms =.40). Conclusions Using Watch-based myRW gather raw is feasible MCI. Sleep/wake variables generated this correlated function, suggesting future studies can approach evaluate novel, scalable, factor characterization targeted therapy approaches.

Language: Английский

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Rest‐activity rhythm characteristics associated with lower cognitive performance and Alzheimer's disease biomarkers in midlife women

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, Journal Year: 2025, Volume and Issue: 17(2)

Published: April 1, 2025

Abstract INTRODUCTION Disrupted rest‐activity rhythms (RARs) have been linked to poorer cognitive function and Alzheimer's disease (AD) biomarkers. Here we extend this work midlife women, who commonly experience menopause‐related sleep problems. METHODS One hundred ninety‐four postmenopausal participants underwent a neuropsychological evaluation, 72 h of wrist actigraphy generating RAR variables, blood draw measure AD biomarkers: phosphorylated tau (p‐tau181, p‐tau231) amyloid beta (Aβ40, Aβ42). RESULTS Lower interdaily stability (IS) relative amplitude (RA) higher variability (IV) least active 5 (L5) were associated with worse processing speed, independent sleep. Adjustment for significantly attenuated the associations RA memory. was p‐tau231 level, Further adjustment factors modestly accounted between RAR, measures, DISCUSSION Weaker particularly RA, functions, biomarkers levels, possibly linking pathology in women. Highlights rhythm robustness fragmentation speed. levels tau‐231. Menopause did not attenuate association function.

Language: Английский

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Associations of Rest‐Activity Rhythm Disturbances With Stroke Risk and Poststroke Adverse Outcomes

Journal of the American Heart Association, Journal Year: 2024, Volume and Issue: 13(18)

Published: Sept. 5, 2024

Many disease processes are influenced by circadian clocks and display ~24-hour rhythms. Whether disruptions to these rhythms increase stroke risk is unclear. We evaluated the association between 24-hour rest-activity rhythms, risk, major poststroke adverse outcomes.

Language: Английский

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Longer sleep duration in Alzheimer’s disease progression: a compensatory response?

SLEEP, Journal Year: 2024, Volume and Issue: 47(6)

Published: April 11, 2024

Language: Английский

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Comprehensive Symptom Prediction in Acute Psychiatric Inpatients Using Wearable-Based Deep Learning Models: Development and Validation Study (Preprint)

Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: 26, P. e65994 - e65994

Published: Oct. 20, 2024

Background Assessing the complex and multifaceted symptoms of patients with acute psychiatric disorders proves to be significantly challenging for clinicians. Moreover, staff in wards face high work intensity risk burnout, yet research on introduction digital technologies this field remains limited. The combination continuous objective wearable sensor data acquired from deep learning techniques holds potential overcome limitations traditional assessments support clinical decision-making. Objective This study aimed develop validate wearable-based models comprehensively predict patient across various South Korea. Methods Participants diagnosed schizophrenia mood were recruited 4 3 hospitals prospectively observed using wrist-worn devices during their admission period. Trained raters conducted periodic Brief Psychiatric Rating Scale, Hamilton Anxiety Montgomery-Asberg Depression Young Mania Scale. Wearable collected patients’ heart rate, accelerometer, location data. Deep developed 2 distinct approaches: single individually (Single) multiple simultaneously via multitask (Multi). These further addressed problems: within-subject relative changes (Deterioration) between-subject absolute severity (Score). Four configurations consequently each scale: Single-Deterioration, Single-Score, Multi-Deterioration, Multi-Score. Data participants before May 1, 2024, underwent cross-validation, resulting fine-tuned then externally validated remaining participants. Results Of 244 enrolled participants, 191 (78.3%; 3954 person-days) included final analysis after applying exclusion criteria. demographic characteristics as well distribution data, showed considerable variations hospitals. 139 used while 52 external validation. Single-Deterioration Multi-Deterioration achieved similar overall accuracy values 0.75 cross-validation 0.73 Single-Score Multi-Score attained R² 0.78 0.83 0.66 0.74 validation, respectively, model demonstrating superior performance. Conclusions based effectively classified symptom deterioration predicted wards. Despite lower computational costs, Multi demonstrated equivalent or performance than Single models, suggesting that is a promising approach comprehensive prediction. However, significant wards, which presents key challenge developing decision systems Future studies may benefit recurring local validation federated address generalizability issues.

Language: Английский

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Pharmacokinetic Assessments of Ursolic Loaded-Dendrimer Complex

Current Pharmaceutical Analysis, Journal Year: 2024, Volume and Issue: 20(7), P. 538 - 556

Published: Aug. 29, 2024

Background: This study investigates the application of polyamidoamine (PAMAM) dendrimers as an innovative drug delivery approach for enhancing pharmacokinetic profile ursolic acid (UA), a pentacyclic triterpenoid with multifaceted therapeutic properties. UA, sourced from plants like Sanguisorba officinalis and Salvia officinalis, has been extensively studied its pharmacological characteristics, including anti-inflammatory, antioxidant, anti-diabetic properties, recognized in Traditional Chinese Medicine (TCM). The clinical utility UA is hampered by low bioavailability, which attributed to hydrophobic nature. To address this limitation, we explore use PAMAM dendrimers, known their potential. Methods: UA-PAMAM G0 were synthesized varying molar ratios. Characterization included size analysis, PDI, zeta potential determination. FTIR confirmed chemical structure. Male SD rats acclimatized administered control suspension UA-G0 dendrimer complex orally. Blood samples collected analysis. obtained IAEC approval. Results: complexes exhibited sizes based on ratios, 2:1 ratio showing significantly smaller dimensions. successful conjugation. In study, demonstrated higher plasma concentrations than alone, indicated increased Cmax AUC values. results suggest enhanced oral bioavailability complex. Conclusion: synthesis variations analysis revealed improved compared alone. These findings highlight compounds bridging gap between traditional herbal medicine modern strategies. Further research can broader applications such systems.

Language: Английский

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Reliable measures of rest-activity rhythm fragmentation: how many days are needed?

European Review of Aging and Physical Activity, Journal Year: 2024, Volume and Issue: 21(1)

Published: Oct. 19, 2024

Abstract Background A more fragmented, less stable rest-activity rhythm (RAR) is emerging as a risk factor for health. Accelerometer devices are increasingly used to measure RAR fragmentation using metrics such inter-daily stability (IS), intradaily variability (IV), transition probabilities (TP), self-similarity parameter (α), and activity balance index (ABI). These were proposed in the context of long period wear but, real life, non-wear might introduce measurement bias. This study aims determine minimum number valid days obtain reliable metrics. Methods Wrist-worn accelerometer data drawn from Whitehall sub-study (age: 60 83 years) simulate different patterns. Pseudo-simulated with numbers (one seven), defined < 1/3 during both day night periods, omission or imputation periods compared against complete intraclass correlation coefficient (ICC) mean absolute percent error (MAPE). Results Five (97.8% participants) allowed an ICC ≥ 0.75 MAPE ≤ 15%, acceptable cut points reliability, IS ABI; this was lower TPs (two-three days), α IV (four days). Overall, did not provide better estimates. Findings consistent across age sex groups. Conclusions The wrist at least 2/3 time varies two (TPs) five (IS, ABI) measures among older adults.

Language: Английский

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Cross-sectional relationships of circadian misalignment and rest-activity rhythms with occupational attainment in UK Biobank participants

Chronobiology International, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: Dec. 23, 2024

Circadian misalignment and disrupted rest-activity rhythms have been linked to adverse health educational outcomes, yet few studies considered their relationships with economic outcomes. We investigate associations between multiple accelerometer-measured circadian traits (Composite Phase Deviation the Sleep Regularity Index) rhythm (Inter-daily Stability, Intra-daily variability relative amplitude), occupational attainment, measured using average wage paid an individual's occupation. use data from 20 356 UK Biobank participants who wore accelerometer (2013-16), provided employment for year they accelerometer, supplied covariate at recruitment (2006-10). linear regression, incremental adjustments four sets of covariates, stratify our analysis by sex. Our findings provide mixed evidence on relationship varying measure used, find fragmented be associated higher which is counterintuitive. Since a modifiable trait, results suggest potential benefits policies aimed reducing misalignment, such as altering work schedules bright light exposure in evening. Further research needed elucidate mechanisms through may impact

Language: Английский

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