Evaluation of Wearable Technology in Dementia: A Systematic Review and Meta-Analysis

Frontiers in Medicine

article

Alanna C. Cote¹  Riley J. Phelps¹  Nina Shaafi Kabiri¹  Jaspreet S. Bhangu¹  Kevin “Kip” Thomas¹ 

[1] Department of Anatomy and Neurobiology, Boston University Medical Center, United States;Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, United States;Division of Geriatric Medicine, Department of Medicine, Western University

关键词: technology;    geriatrics;    cognition;    sleep;    wearable;   

DOI  :  10.3389/fmed.2020.501104

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Background: The objective of this analysis was to systematically review studies employing wearable technology in patients with dementia by quantifying differences in digitally captured physiological endpoints. Methods: This systematic review and meta-analysis was based on web searches of Cochrane Database, PsycInfo, Pubmed, Embase, and IEEE between October 25–31st, 2017. Observational studies providing physiological data measured by wearable technology on participants with dementia with a mean age ≥50. Data were extracted according to PRISMA guidelines and methodological quality assessed independently using Downs and Black criteria. Standardized mean differences between cases and controls were estimated using random-effects models. Results: Forty-eight studies from 18,456 screened abstracts (Dementia: n = 2,516, Control: n = 1,224) met inclusion criteria for the systematic review. Nineteen of these studies were included in one or multiple meta-analyses (Dementia: n = 617, Control: n = 406). Participants with dementia demonstrated lower levels of daily activity (standardized mean difference (SMD), −1.60; 95% CI, −2.66 to −0.55), decreased sleep efficiency (SMD, −0.52; 95% CI, −0.89 to −0.16), and greater intradaily circadian variability (SMD, 0.46; 95% CI, 0.27 to 0.65) than controls, among other measures. Statistical between-study heterogeneity was observed, possibly due to variation in testing duration, device type or patient setting. Conclusions and Relevance: Digitally captured data using wearable devices revealed that adults with dementia were less active, demonstrated increased fragmentation of their sleep-wake cycle and a loss of typical diurnal variation in circadian rhythm as compared to controls.

【 授权许可】

CC BY