New Study Finds Wearable Devices Could Help Predict Frailty-Related Health Risks

New Study Finds Wearable Devices Could Help Predict Frailty-Related Health Risks

A groundbreaking study conducted at Harvard-affiliated Brigham and Women’s Hospital has revealed that wearable devices capable of measuring daily patterns of circadian rest-activity rhythms could potentially predict frailty-related health risks more than six years in advance. Published in Nature Communications, this research sheds light on the crucial role these wearable devices could play in monitoring the long-term health of older adults.

Frailty, which is characterized by a decline in physiological function associated with aging, significantly increases the vulnerability of older populations to adverse health outcomes. Previous studies have shown a strong connection between disruptions in daily patterns of rest and activity and neurodegenerative diseases such as Alzheimer’s and Parkinson’s.

Lead author, Ruixue Cai, a doctoral candidate in the Division of Sleep and Circadian Disorders, emphasized the significance of the study’s findings, stating, “Our study demonstrates that wearable devices could represent an important tool for long-term health monitoring in older adults. Frailty can reduce quality of life, and detecting it early or predicting who is at risk could help us intervene to promote healthy aging.”

The research involved analyzing continuous rest and activity data from wearable devices worn by a cohort of 1,022 older adults with a mean age of 81. These individuals were followed annually for up to 16 years as part of the Rush Memory and Aging Project. By examining measures such as the amplitude, stability, and variability of rest-activity rhythms, the researchers discovered that disturbances in these patterns were associated with a higher risk of frailty incidence and a faster progression of frailty symptoms.

Significantly, these associations remained consistent even after considering factors such as age, sex, sleep duration, sleep fragmentation, and cardiovascular dysfunction. The findings suggest a potential overlap between the mechanisms underlying frailty and cognitive impairment.

However, the study does acknowledge some limitations. Since it focused on an older population, there may be seasonal variations and environmental conditions that influence rest-activity patterns. Additionally, wearable devices can sometimes misinterpret sleep and wake cycles. Future research should incorporate improved sleep assessment to further understand the causal link between circadian disturbances and frailty.

Corresponding author Peng Li expressed optimism about the potential of wearable technology in healthcare, saying, “Wearable technology provides a holistic approach for detecting common indicators of disease. Combining circadian rest-activity data with other clinical measures could help with early identification and intervention in susceptible populations.”

As this study marks an important step forward in the field of health monitoring, researchers hope that future investigations will continue to explore the capabilities of wearable devices in predicting and preventing various health risks.

Frequently Asked Questions (FAQ)

Q: What is frailty?

Frailty refers to a decline in physiological function commonly observed in older populations, which increases their vulnerability to adverse health outcomes.

Q: What are circadian rest-activity rhythms?

Circadian rest-activity rhythms refer to the patterns of rest and activity that follow a 24-hour cycle of biological rhythms, influenced by an individual’s internal body clock.

Q: How can wearable devices predict frailty-related health risks?

Wearable devices can measure and analyze daily patterns of rest-activity rhythms. Disturbances in these patterns have been linked to higher risks of frailty incidence and faster progression of frailty symptoms.

Q: What implications does this study have for older adults?

The study suggests that wearable devices could play a crucial role in monitoring the long-term health of older adults, enabling early identification and intervention to promote healthy aging.

(Source: Brigham and Women’s Hospital – URL of the source domain)

All Rights Reserved 2021.
| .