The Health Economics of Sleep Disorders Among Older Adults

Effects of combined exercise training with sleep education in older adults with obstructive sleep apnea: protocol for a randomized clinical trial

Background

Obstructive sleep apnea (OSA) is a common disorder that affects approximately 1 billion people worldwide. Advanced age is a significant risk factor. Various treatment options have been explored to reduce the severity of OSA symptoms and physical exercise has emerged as a potential alternative therapy. Therefore, this study aims to investigate the effects of a combined exercise program with sleep education on sleep quality and on the severity of OSA in older adults.

Methods

This is a randomized clinical trial with two parallel groups that will involve individuals of both genders aged between 60 and 79 years who have an apnea-hypopnea index (AHI) of more than 15 events per hour and who have not received or are currently undergoing treatment for OSA. Older adults who have engaged in regular exercise in the last six months and individuals with contraindications to exercise will be excluded. The study will assess outcomes related to OSA, including AHI, oxygen desaturation index, minimum and mean oxyhemoglobin saturation, sleep efficiency, sleep latency, and the type of respiratory events. Additionally, sleep quality-related outcomes, daytime sleepiness, physical activity, physical fitness, aerobic capacity, cognitive status, anthropometric measures, and health-related quality of life will be analyzed. Participants will be randomized to two groups: a combined exercise group (involving both resistance and aerobic training) with sleep education, and a control group that will receive only educational recommendations for managing OSA. The intervention will last 12 weeks and will consist of three sessions per week, totaling 36 exercise sessions. Sample size calculation indicates a minimum number of 36 participants.

Discussion

If the hypothesis is confirmed, this clinical trial will indicate an effective non-pharmacological intervention for treating OSA in older adults. This intervention could be used as an adjunct to existing approaches designed to improve OSA management.

Clinical trail registration

Brazil Clinical Trials Registry (ReBEC), identifier RBR-9hk6pgz.

Family Members' Abuse of Older Adults, Psychological Well-Being, and Sleep Quality Among Older Women and Men in China

Despite the well-documented detrimental health effects of elder abuse, scholars have rarely considered whether and how family members' abuse of older adults is associated with sleep. Data from the 2018 China Longitudinal Aging Social Survey (N = 8110) were used to assess the association between elder abuse committed by family members and sleep quality, and how psychological well-being (depression and loneliness) mediates and gender moderates the above association. Results indicated that those who experienced family members' abuse were more likely to report poor sleep quality than their non-abused counterparts. Depression and loneliness partially mediated the elder abuse-sleep relationship. Furthermore, among those who experienced one elder abuse, older women had a higher risk of poor sleep quality than their male counterparts. However, two or more elder abuse experiences had similar negative effects on older women and men. Preventing elder abuse and improving psychological well-being is critical to promoting late-life sleep.

Longitudinal associations between time-varying insomnia symptoms and all-cause health care services utilization among middle-aged and older adults in the United States

OBJECTIVE

To examine longitudinal associations between time-varying insomnia symptoms (difficulty initiating sleep, difficulty maintaining sleep, early-morning awakenings, and nonrestorative sleep) and all-cause health care services utilization (HSU), including overnight hospital stays, nursing home stays, and home health care services among middle-aged and older adults.

DATA SOURCES

The Health and Retirement Study (HRS), a nationwide, population-representative survey of primarily middle-aged and older adults in the United States.

STUDY DESIGN

This study is an analysis of prospective data from the HRS for a cohort of 13,168 adults (aged ≥50 years; females = 57.7%). Study participants were followed for 16 years. This study focuses on the associations between time-varying insomnia symptoms, both cumulatively and independently, and repeated HSUs. A marginal structural modeling approach was used to capture time-varying biological, psycho-cognitive, and behavioral health factors, and to adjust for selection bias such as differential loss to follow-up. Generalized estimating equations were employed to compute average marginal effects and their 95% confidence intervals.

DATA COLLECTION/EXTRACTION METHODS

We extracted longitudinal data from 2002 through 2018 waves of the HRS.

PRINCIPAL FINDINGS

Experiencing higher numbers of insomnia symptoms on a cumulative scale was associated with higher probabilities of HSU. For instance, the likelihood of overnight hospital stays for individuals reporting one symptom increased from 4.7 percentage points on average (95% CI: 3.7-5.6, p < 0.001), to 13.9 percentage points (95% CI: 10.3-17.5, p < 0.001) for those reporting four symptoms, relative to individuals experiencing no insomnia symptoms. Further, experiencing each of difficulty initiating and maintaining sleep, and nonrestorative sleep, as standalone symptoms, was associated with a higher likelihood of HSU when compared to those not experiencing the symptoms.

CONCLUSIONS

The results demonstrate the potential consequences and adverse impacts of insomnia symptoms on HSU among middle-aged and older adults. Future investigations should focus on the underlying causes and health systems pathways linking insomnia symptoms to HSU.

Contactless remote monitoring of sleep: evaluating the feasibility of an under-mattress sensor mat in a real-life deployment

Sleep is so important, particularly for the elderly. The lack of sleep may increase the risk of cognitive decline. Similarly, it may also increase the risk of Alzheimer's disease. Nonetheless, many people underestimate the importance of getting enough rest and sleep. In-laboratory polysomnography is the gold-standard method for assessing the quality of sleep. This method is considered impractical in the clinical environment, seen as labour-intensive and expensive owing to its specialised equipment, leading to long waiting lists. Hence, user-friendly (remote and non-intrusive) devices are being developed to help patients monitor their sleep at home. In this paper, we first discuss commercially-available non-wearable devices that measure sleep, in which we highlight the features associated with each device, including sensor type, interface, outputs, dimensions, power supply, and connectivity. Second, we evaluate the feasibility of a non-wearable device in a free-living environment. The deployed device comprises a sensor mat with an integrated micro-bending multimode fibre. Raw sensor data were gathered from five senior participants living in a senior activity centre over a few to several weeks. We were able to analyse the participants' sleep quality using various sleep parameters deduced from the sensor mat. These parameters include the wake-up time, bedtime, the time in bed, nap time. Vital signs, namely heart rate, respiratory rate, and body movements, were also reported to detect abnormal sleep patterns. We have employed pre-and post-surveys reporting each volunteer's sleep hygiene to confirm the proposed system's outcomes for detecting the various sleep parameters. The results of the system were strongly correlated with the surveys for reporting each sleep parameter. Furthermore, the system proved to be highly effective in detecting irregular patterns that occurred during sleep.