Background: Cognitive decline is a common aspect of aging, and identifying modifiable lifestyle factors-such as physical activity and sleep-are crucial for promoting healthy brain aging. While both are individually linked to cognition, few studies have simultaneously assessed their independent and combined effects using objective wearable-based data, particularly in older Asian populations.Objective: This study aimed to… Continue reading Associations of #Wearable- Measured #Sleep and #Physical Activity With #Memory Performance in Older Adults: Cross-Sectional Study With Actigraphy and MRI
Tag: Wearables
Wearable movement-tracking data identify Parkinson’s disease years before clinical diagnosis
Parkinson’s disease is a progressive neurodegenerative movement disorder with a long latent phase and currently no disease-modifying treatments. Reliable predictive biomarkers that could transform efforts to develop neuroprotective treatments remain to be identified. Using UK Biobank, we investigated the predictive value of accelerometry in identifying prodromal Parkinson’s disease in the general population and compared this… Continue reading Wearable movement-tracking data identify Parkinson’s disease years before clinical diagnosis
Characterizing #COVID-19 and #Influenza Illnesses in the Real World via Person-Generated Health Data
The fight against COVID-19 is hindered by similarly presenting viral infections that may confound detection and monitoring. We examined Person-generated Health Data (PGHD), consisting of survey and commercial wearable data from individuals’ everyday lives, for 230 people who reported a COVID-19 diagnosis between 2020-03-30 and 2020-04-27 (N=41 with wearable data). Compared to self-reported diagnosed flu… Continue reading Characterizing #COVID-19 and #Influenza Illnesses in the Real World via Person-Generated Health Data
The Predictive Performance of Objective Measures of #physical Activity Derived From Accelerometry Data for 5-Year All-Cause Mortality in #Older Adults: National Health and Nutritional Examination Survey 2003–2006
Declining physical activity (PA) is a hallmark of aging. Wearable technology provides reliable measures of the frequency, duration, intensity, and timing of PA.. In univariate logistic regression, the total activity count was the best predictor of 5-year mortality (Area under the Curve (AUC) = 0.771) followed by age (AUC = 0.758). Overall, 9 of the… Continue reading The Predictive Performance of Objective Measures of #physical Activity Derived From Accelerometry Data for 5-Year All-Cause Mortality in #Older Adults: National Health and Nutritional Examination Survey 2003–2006
2 Medical News 