Sleep Quality In Older Adults Research Articles

Association of dysphagia and loneliness and their interaction with sleep quality among older adults in nursing homes: A cross-sectional study.

Poor sleep quality is a risk factor for many adverse health outcomes and has become a widespread and serious public health problem, especially among older adults. This study aimed to explore the association between dysphagia, loneliness, and their interaction with sleep quality among older Chinese adults living in nursing homes. This cross-sectional study used multistage cluster random sampling to select 56 nursing homes in Hunan Province, China. Data on sociodemographic characteristics, health-related status, lifestyle, and behavioral and social psychological factors were collected. The Pittsburgh Sleep Quality Index was used to evaluate sleep quality. The 30 mL Water Swallowing Test and Eating Assessment Tool-10 items were used to screen for dysphagia, and the 14th item of the Center for Epidemiologic Studies Depression Scale was used to measure loneliness. Binary logistic regression models were used to analyze the relationship between poor sleep quality, dysphagia, and loneliness. The interaction between these variables was evaluated using multiplicative and additive interaction models. This study included 3,356 older adults aged 60 and above. The mean Pittsburgh Sleep Quality Index score was 6.31 ± 3.11, and the incidence of poor sleep quality was 30.8%. A total of 642 (19.1%) older adults had dysphagia, and 1,358 (40.5%) experienced loneliness. After adjusting for all covariates, dysphagia and loneliness were associated with an increased risk of poor sleep quality. The interaction analysis demonstrated that the risk of poor sleep quality among older adults with dysphagia and loneliness was 3.476 times higher than that in those without dysphagia and loneliness. Dysphagia and loneliness had an additive interaction effect on poor sleep quality in older adults living in nursing homes. Poor sleep quality can be effectively prevented by focusing on older adults in nursing homes experiencing dysphagia, loneliness, or both and implementing targeted health interventions.

The impact of social support, physical and psychological performance on sleep outcomes in Iranian older adults: a case-control study

BackgroundSleep quality is one of the most important factors to improve the quality of life in older adults and physical and mental health plays an essential role in better sleep quality. This study aimed to determine the impact of social support, and physical and psychological performance on sleep outcomes in Iranian older adults.MethodsIn this case-control study, 400 elder people, who were exposed to sleep problems, and 400 people without sleep problems were randomly selected during 2016–2017 in Amirkola, Iran. Subjects in the case and control groups were matched in terms of gender and age. The demographic characteristics, Duke Social Support Questionnaire (DSSI), Physical Activity Scale for the Elderly (PASE), Activity of Daily Living (ADL), Instrumental Activity of Daily Living (IADL), Mini-Mental State Examination (MMSE), and Pittsburgh Sleep Quality Questionnaire (PSQI) questionnaires were used to collect data. T-test, Chi-square, Pearson Correlation coefficient, and multiple Logistic regression were used for data analysis.ResultsThe mean score of DSSI and its domains including social interaction (DSSI.Int) and social satisfaction (DSSI.Sat) were 28.15 ± 3.55, 9.31 ± 1.23, and 18.84 ± 2.88 in the case group and 28.87 ± 3.20, 9.48 ± 1.10, and 19.83 ± 2.44 in the control group, respectively. In this study, the mean scores of MMSE, PASE, ADL, and IADL were 25.36 ± 3.95, 101.71 ± 56.99, 13/97 ± 0.37, 20.59 ± 2/79; respectively. There was a significant inverse correlation between poor sleep quality with DSSI score (rho = -0.165, P < 0.0001), DSSI.Int (rho = -0.113, P < 0.001), DSSI.Sat (rho = -0.160, P < 0.0001), PASE (rho=-0.160, P < 0.0001), and IADL (rho = -0.112, P < 0.001) score. Therefore, more social support and physical activity improved the quality of sleep. There was a significant negative relationship between DSSI, and its domains with sleep quality in terms of gender. DSSI (rho = 0.25, P < 0.0001), DSSI.Int (P < 0.0001, rho=-0.18), and DSSI.Sat (P < 0.0001, rho=-0.22) was significant in men but not in women. The results of the adjusted logistic regression revealed a significant association between sleep quality problems and DSSI (p < 0.045, OR = 1.40), the use of hypnotic drugs (p < 0.0001, OR = 7.56), and occupation (p <0.03, OR= 12.66).ConclusionsThe results of the present study suggest that low social support and all its domains, PASE, IADL, and using hypnotic drugs may play a role in the development of sleep problems. It can be used as an effective, safe, and low-cost strategy for promoting sleep quality in older adults.

Effect of an Aerobic Dancing Program on Sleep Quality for Older Adults With Mild Cognitive Impairment and Poor Sleep: A Randomized Controlled Trial

ObjectiveTo investigate the effects of an aerobic dancing program on sleep quality of older adults with mild cognitive impairment (MCI) and poor sleep. DesignThe study adopted a single-blinded randomized controlled trial design. Settings and ParticipantsCommunity-dwelling adults older than 60 years screened with the coexistence of MCI and poor sleep were included. A total of 89 eligible participants were randomly assigned to receive either the aerobic dancing program or the health education attention placebo control group. MethodsThe primary outcome was sleep quality, which was measured by the Pittsburgh Sleep Quality Index. The second outcome was cognitive function, which was assessed by the Montreal Cognitive Assessment. Analysis followed the intention-to-treat principle. Generalized estimating equation was adopted to compare the changes in outcomes over the pre-post test periods between groups. ResultsThe average adherence rate of the exercise program was 73.1%. No adverse events occurred during the study period. Participants in the intervention group had a significantly greater improvement in terms of general sleep quality (β, −1.74; 95% CI, −3.41 to −0.08; P = .04), sleep latency (β, −0.19; 95% CI, −0.37 to −0.02; P = .03), sleep duration (β, 0.51; 95% CI, 0.24 to 0.99; P = .04), sleep efficiency (β, 0.11; 95% CI, 0.07 to 1.12; P = .04), and cognitive function (β, 1.64; 95% CI, 0.43 to 2.86; P = .008) compared with the control group over the pre-post test periods. Conclusions and ImplicationsThis study demonstrated that a 16-week aerobic dancing program is feasible and effective in improving sleep quality and cognitive function among older adults with coexistence of MCI and poor sleep. The feasibility and effectiveness of this exercise program promoted the need to increase its application against deteriorating poor sleep and cognitive decline in older adults with MCI.

Effects of Temperature, Duration, and Heating Height of Foot Thermal Therapy on Sleep Quality of Older Adults: A Systematic Review and Meta-Analysis.

Background: Sleep disturbances, which are common problems in older adults, often lead to cognitive decline and depression and may even increase mortality risk. Foot thermal therapy is a simple and safe approach for improving sleep and is associated with relatively few side effects. However, the effect of different operations of foot thermal therapy on sleep quality in older adults is inconclusive. This study aimed to access the effects of temperature, duration, and heating height of foot thermal therapy (administered through a footbath) on the subjective and objective sleep quality of older adults. Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline, eight databases were searched for all relevant articles published up to July 2023, and a rigorous systematic review and meta-analysis was conducted. This study was registered in the PROSPERO database (CRD42022383460). Inclusion criteria were: (1) participants with a mean age ≥60 years; (2) interventions that included foot thermal therapy; (3) a control group that received routine care but no thermal therapy; (4) outcome measurements that assessed sleep quality; and (5) the studies that utilized randomized controlled trials or quasi-experimental studies. Methodological quality was assessed using the Joanna Briggs Institute critical appraisal tools. The meta-analysis was performed using RevMan version 5.4. Results: A total of 11 studies were included. Foot thermal therapy before bedtime improved subjective sleep quality in older adults, with optimal parameters of 40°C temperature (standardized mean difference [SMD] = 0.66, 95% confidence interval [CI]: 0.33 to 0.99), ≤20-min duration (SMD = 0.66, 95% CI: 0.39 to 0.93), and 10 cm heating height (SMD = 0.78, 95% CI: 0.45 to 1.11). Subgroup analyses revealed that a temperature of 41°C-42°C can improve objective sleep latency (SMD = 0.54, 95% CI: 0.09 to 0.99). Conclusions: It is recommended to administer foot thermal therapy (40°C; ≤20 min; 10 cm above the ankle) to older adults 1 h before their bedtime. If they have trouble falling asleep, the temperature can be increased to 41°C-42°C.

Unraveling the Nexus: Exploring the Relationship between Exercise Habits and Sleep Quality in Older Adults.

The objective of this study is to investigate the impact of exercise habits on enhancing the sleep quality of older adults. The Pittsburgh Sleep Quality Scale and other questionnaires were utilized to assess the sleep quality of older adults aged 60 years and above in the H district. The sampling method employed was stratified random sampling. To analyze the influencing factors of sleep quality, the average treatment effect was estimated, the robustness of the results was assessed and statistical methods such as Logit regression and propensity score matching were employed. The study revealed that exercise habits strongly correlated with improved sleep quality in the older adult (p < 0.05), with the average total sleep quality score being 6.22 (±3.53). It was observed that older adults who engaged in exercise habits experienced a significant 12.66% increase in the likelihood of achieving good sleep. This investigation highlights the positive association between exercise habits and enhanced sleep quality among older adults. Additionally, age, physical pain and self-rated health statuses were identified as significant factors influencing sleep quality in this population. To enhance the sleep quality of older adults, this article recommends promoting relevant exercise habits, thus contributing to their overall well-being and quality of life.

Sleep Quality and Associated Factors Among Older Adults in Tabriz, Iran: Tabriz Older People Health Survey (TOPS-2019)

Objectives: The study aimed to investigate the sleep quality of aged people in Tabriz and identify its associated factors. Design: Cross-sectional study. Setting(s): Tabriz, the capital of the East Azerbaijan province in northwest Iran. Participants: A total of 1362 participants were selected from a representative sample of community-dwelling older people aged≥60 years who were living in Tabriz, using the probability proportional to size (PPS) sampling method. Outcome measures: Blood pressure (BP), sleep quality, depression, anxiety, loneliness, physical activity, daily activities, living independently, and social support were assessed using a standard mercury sphygmomanometer, Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety and Depression Scale (HADS), the 6-item De Jong Gierveld Loneliness Scale, Physical Activity Scale for the Elderly (PASE), Activity of Daily Living (ADL), Instrumental Activity of Daily Living (IADL), respectively. Results: The mean score of total PSQI was 5.39±2.91. The multivariable logistic regression model showed that being female (Odds ratio [OR]=1.68, 95% confidence interval [CI]=1.29 to 2.18), hypertensive (OR=2.12, 95% CI=1.52 to 2.95), diabetes mellitus (DM) (OR=1.29, 95% CI=0.96 to 1.72), abnormal anxiety level (OR=2.38, 95% CI=1.67 to 3.38), and low PASE score (OR=0.99, 95% CI=0.99 to 1) were significantly associated with a higher risk of poor sleep quality. Conclusions: Low physical activity is a modifiable risk factor for low sleep quality in older adults. Hence, the development of physical activity programs can be effective in improving sleep quality. Furthermore, women are the priority in designing interventions.

Sex Difference in the Association Between Sedentary Behavior and Sleep Quality: A Longitudinal Study Among Older Adults in Rural China.

Sleep quality plays a vital role in maintaining health in older adults. Sedentary behavior may be a risk factor for poor sleep quality in older adults. This study aimed to explore the relationship between sedentary behavior and sleep quality among older adults in rural China and determine whether there is a sex difference in this association. A longitudinal design. The data used in this study were obtained from the Shandong Rural Elderly Health Cohort (wave 1: 2019, wave 2: 2020). Data were from 2731 individuals aged ≥60years from rural areas in China. Sleep quality was assessed using the Pittsburgh Sleep Quality Index. Sedentary behavior and control variables were measured using self-reported questions. Multivariable logistic regression and generalized estimating equations were used to assess the associations. After full adjustment, the association between sedentary behavior and poor sleep quality was statistically significant [odds ratio (OR) 1.49, 95% CI 1.20-1.85]. Specifically, a longer sedentary time was associated with worse subjective sleep quality, less sleep latency, and lower habitual sleep efficiency (OR 1.39-1.58). A significant association was observed in women but not men. Older adults who spend more time engaging in sedentary activities have poorer sleep quality and more sleep problems. Prolonged sedentary time is more detrimentally associated with poor sleep quality in women than men. There is a need for tailored exercise prescriptions and guidelines to stimulate older adults of different sexes to change their sedentary behavior, which may improve sleep quality in older adults.

Association of spermidine blood levels with microstructure of sleep—implications from a population-based study

Deteriorations in slow wave sleep (SWS) have been linked to brain aging and Alzheimer’s disease (AD), possibly due to its key role in clearance of amyloid-beta and tau (Aß/tau), two pathogenic hallmarks of AD. Spermidine administration has been shown to improve sleep quality in animal models. So far, the association between spermidine levels in humans and parameters of SWS physiology are unknown but may be valuable for therapeutic strategies. Data from 216 participants (age range 50–81 years) of the population-based Study of Health in Pomerania TREND were included in our analysis. We investigated associations between spermidine plasma levels, key parameters of sleep macroarchitecture and microarchitecture that were previously associated with AD pathology, and brain health measured via a marker of structural brain atrophy (AD score). Higher spermidine levels were significantly associated with lower coupling between slow oscillations and spindle activity. No association was evident for SWS, slow oscillatory, and spindle activity throughout non-rapid eye movement sleep. Furthermore, elevated spermidine blood levels were significantly associated with a higher AD score, while sleep markers revealed no association with AD score. The association between higher spermidine levels and brain health was not mediated by coupling between slow oscillations and spindle activity. We report that higher spermidine blood levels are associated not only with deteriorated brain health but also with less advantageous markers of sleep quality in older adults. Future studies need to evaluate whether sleep, spermidine, and Aß/tau deposition are interrelated and whether sleep may play a mediating role.

Nighttime ambient temperature and sleep in community-dwelling older adults

This longitudinal study examines the association between bedroom nighttime temperature and sleep quality in a sample of community dwelling older adults. Using wearable sleep monitors and environmental sensors, we assessed sleep duration, efficiency, and restlessness over an extended period within participants' homes while controlling for potential confounders and covariates. Our findings demonstrated that sleep was most efficient and restful when nighttime ambient temperature ranged between 20 and 25 °C, with a clinically relevant 5–10 % drop in sleep efficiency when the temperature increased from 25 °C to 30 °C. The associations were primarily nonlinear, and substantial between-subject variations were observed. These results highlight the potential to enhance sleep quality in older adults by optimizing home thermal environments and emphasize the importance of personalized temperature adjustments based on individual needs and circumstances. Additionally, our study underscores the potential impact of climate change on sleep quality in older adults, particularly those with lower socioeconomic status, and supports increasing their adaptive capacity in the face of a changing climate.

The association between nutritional status and sleep quality of Chinese community-dwelling older adults.

Sleep disorders are a common syndrome and could affect the life quality of the older adults. This study aimed to investigate the association between nutritional status and sleep quality in the Chinese community-dwelling older adults. A total of 2,878 participants ≥ 65years old from the Yiwu Elderly Cohort were included in the study. Nutritional status was assessed using the Mini Nutritional Assessment Short Form (MNA-SF). Participants were categorized as subjects with malnutrition, at risk of malnutrition or well-nourished based on their MNA-SF score. Pittsburgh Sleep Quality Index (PSQI) was used to identify sleep disorders. PSQI score ≥ 6 was categorized as poor sleep quality. Among the 2,878 participants (mean age 72.71 ± 5.79years, 50.3% men), 31.5% (n = 906) were classified as having sleep disorders, and 25.5% were identified as malnutrition or at risk of malnutrition. We found a significantly relationship between nutritional status and sleep quality in older adults, and the results showed well-nourished decreased the risk of sleep disorders (OR = 0.32, 95% CI = 0.13, 0.75). And well-nourished status was significantly associated with less daytime dysfunction, adequate sleep duration, and good subjective sleep quality (all P < 0.05). There was a close association of nutritional status and sleep quality in older adults. We should pay more attention to the nutritional status of older people with sleep problems, as well as the sleep quality of older adults with malnutrition.

The Association Between Essential Metal Element Mixture and Sleep Quality in Chinese Community-Dwelling Older Adults.

Previous studies have related single essential metal elements (EMEs) to sleep quality among older adults, however, the association of the EME mixture with sleep quality remained poorly understood. This study aimed to investigate the relationships between single EMEs and the EME mixture and sleep quality in older adults living in Chinese communities. This study consisted of 3957 older adults aged 60years or over. Urinary concentrations of cobalt (Co), vanadium (V), selenium (Se), molybdenum (Mo), strontium (Sr), calcium (Ca), and magnesium (Mg) were detected using inductively coupled plasma mass spectrometry. Sleep quality was evaluated using Pittsburgh Sleep Quality Index (PSQI). The associations of single EMEs and EME mixture with sleep quality were assessed using logistic regression and Bayesian kernel machine regression (BKMR) models, respectively. Adjusted single-element logistic regression models showed that Mo (OR = 0.927, 95%CI:0.867-0.990), Sr (OR = 0.927, 95%CI:0.864-0.994), and Mg (OR = 0.934, 95%CI:0.873-0.997) were negatively related to poor sleep quality. BKMR models exhibited similar results. Also, higher levels of the EME mixture in urine were inversely related to the odds of poor sleep quality after adjustment for covariates, and Mo had the largest conditional posterior inclusion probability (condPIP) value in the mixture. Mo, Sr, and Mg were negatively related to poor sleep quality, separately and as the mixture. The EME mixture in urine was associated with decreased odds of poor sleep quality in older adults, and Mo was the greatest contributor within the mixture. Additional cohort research is warranted to clarify the relationship of multiple EMEs with sleep quality.

0312 Dynamic Lighting in Memory Care Facilities to Improve Sleep and Mood in Older Adults with Dementia

Abstract Introduction Of the estimated 5.8 million people in the United States diagnosed with dementia, approximately one-third experience a chronic sleep disorder. Poor sleep quality in older adults is associated with higher levels of depression, anxiety, agitation, and falls as well as lower levels of cognitive and memory performance. Light is the most important environmental element that is not only necessary to fulfill visual tasks but also is the main stimulus that regulates circadian rhythms. This study aims to investigate the effect of a dynamic lighting intervention on sleep quality and mood in older adults with dementia living in long-term care facilities. Methods The study is conducted as a within-subject study design over 7 days of conventional lighting (Baseline) followed by 21 days of room lighting (Placebo) and then 21 days of dynamic lighting (Treatment). The dynamic lighting intervention is designed to create an ambient illumination that provides a high level of circadian stimulation in the morning and circadian-neutral lighting in the evenings through delivering varying light intensity and spectrum. The placebo condition exposes participants to a static lighting condition that is equivalent to the average room lighting from morning to evening. The human-lighting interaction occurs in the common areas of the selected memory care facility in Phoenix Greater Area, AZ. Participants of this study are individuals over the age of 65 diagnosed with mild to moderate dementia. Actigraphy is conducted on the last 7 days of each condition to monitor sleep quality. Daily light exposure is tracked continuously throughout the waking day using a non-intrusive wearable sensor. Moreover, caregivers complete two questionnaires (Cornell Scale for Depression in Dementia (CSDD) and Cohen-Mansfield Agitation Inventory (CMAI)) every seven days to assess the short and long-term effects of each condition on mood and agitation. Results Findings show notable improvements in mood and nighttime sleep duration and efficiency in participants after exposure to the dynamic condition compared to the baseline and placebo. Conclusion The outcomes of this study provide strong evidence that ambient lighting in memory care facilities is a significant contributor to improving sleep and quality of life of older adults with dementia. Support (if any) None

The relationships between physical function, nutrition, cognitive function, depression, and sleep quality for facility-dwelling older adults with dynapenia

BackgroundThe growing population of older adults worldwide is associated with an extended life expectancy and an increasing proportion of older adults with dynapenia. Most research on dynapenia has involved only populations of older adults living in the community; little research has examined the effects of risk factors on sleep quality among older adults with dynapenia residing in assisted living facilities.AimThis study examined the relationships among physical function, nutrition, cognitive function, depression, and sleep quality among older adults with dynapenia residing in assisted living facilities.MethodsIn this cross-sectional study, data on physical function, nutrition, cognitive function, depression, and sleep quality was collected from 178 older adults with dynapenia residing in assisted living facilities, who were selected using purposive sampling. Descriptive statistical analysis, independent-sample t tests, chi-squared tests, and logistic regression analysis were performed using SPSS 25.0.ResultsThe statistical analyses revealed correlations between sleep quality and age (t = 2.37, p < 0.05), level of education (χ2 = 3.85, p < 0.05), grip strength (t = 3.40, p < 0.01), activities of daily living (t = 4.29, p < 0.001), instrumental activities of daily living (t = 2.23, p < 0.001), calf circumference (t = 2.89, p < 0.01), Mini Nutritional Assessment scores (t = 2.29, p < 0.05), Mini Mental State Exam (MMSE) scores (t = 4.50, p < 0.001), and Geriatric Depression Scale (GDS) scores (t = − 4.20, p < 0.001). Calf circumference (OR = 0.8, 95% CI = 0.650.97, p < 0.05), GDS score (OR = 1.42, 95% CI = 1.05–1.92, p < 0.05), and MMSE score (OR = 0.85, 95% CI = 0.73–0.97, p < 0.05) were related to sleep quality among the sample population.ConclusionPhysical function, nutrition, cognitive function, and depression affect the sleep quality of older adults with dynapenia residing in assisted living facilities. Facility nurses must regularly assess these aspects of their patients to ensure that facility-dwelling older adults can maintain their physical function and improve their health to improve the quality of their sleep.

Risk factors of poor sleep quality in older adults: an analysis based on comprehensive geriatric assessment

Objectives Sleep quality is associated with many diseases and conditions that affect individuals’ health in various ways. We aimed to investigate the association between sleep quality and common geriatric conditions in older adults. Methods The study included 237 older adults admitted to the geriatric outpatient clinic of a university hospital. All patients underwent comprehensive geriatric assessment (CGA). The Geriatric Depression Scale (GDS), Beck Anxiety Inventory (BAI), European Quality of Life (EQ-5D), Pittsburgh Sleep Quality Index (PSQI), Katz Index of Independence in Activities of Daily Living (ADL) and Lawton and Brody Instrumental Activities of Daily Living (IADL) questionnaires, Tinetti Balance and Gait Assessment (TBGA), and Mini Nutritional Assessment (MNA) were performed on the participants. Results Participants had a mean age of 72.2 ± 6.3 years, and 146 (61.6%) of them had poor sleep quality. Of the participants, 61.2% were female. In the poor sleep quality group, GDS and BAI scores were higher while ADL, IADL, MNA, and EQ-5D index scores were lower. PSQI score had a negative correlation with ADL (r = −.207, p = .01), EQ-5D index (r = −.372, p = .00), MNA (r = −.277, p = .00), and TBGA (r = −.263, p = .41) scores and a positive correlation with GDS (r = .426, p = .00) and BAI (r = .450, p = .00) scores according to the results of correlation analysis. Multivariate logistic regression analysis showed that the presence of diabetes mellitus (DM) and higher GDS and BAI scores were independent variables for poor sleep quality [(p = .48, OR = 1.92; p = .20, OR = 1.11; and p <.01, OR = 1.11, respectively)]. Conclusions We found that DM and depressive and anxiety symptoms were the risks of poor sleep quality. In addition, participants with poor sleep quality had a worse quality-of-life and nutritional status. Improving sleep quality may be helpful in the management of geriatric syndromes and that sleep quality assessment should be part of CGA.

Effects on Sleep Quality of Physical Exercise Programs in Older Adults: A Systematic Review and Meta-Analysis.

Given the beneficial effects of exercise in different populations and the close relationship between healthy ageing and sleep quality, our objective was to determine if physical exercise delivered through a structured program improves sleep quality in older adults. Embase, PubMed/MEDLINE, Web of Science, and Cochrane Register of Clinical Trials (CENTRAL) were searched to 15 January 2023. Studies that applied physical exercise programs in older adults were reviewed. Two independent reviewers analysed the studies, extracted the data, and assessed the quality of evidence. Of the 2599 reports returned by the initial search, 13 articles reporting on 2612 patients were included in the data synthesis. The articles used interventions based on yoga (n = 5), multicomponent exercise (n = 3), walking (n = 2), cycling (n = 1), pilates (n = 1), elastic bands (n = 1), and healthy beat acupunch (n = 1). In the intervention group, we found significant improvement in Pittsburgh sleep quality index of -2.49 points (95% CI -3.84 to -1.14) in comparison to the control group (p = 0.0003) and sleep efficiency measured with objective instruments (MD 1.18%, 95% CI 0.86 to 1.50%, p < 0.0001). Our results found that physical exercise programs in older adults improve sleep quality and efficiency measured with objective instruments.

Socioeconomic Background and Self-Reported Sleep Quality in Older Adults during the COVID-19 Pandemic: An Analysis of the English Longitudinal Study of Ageing (ELSA).

The COVID-19 pandemic negatively impacted sleep quality. However, research regarding older adults' sleep quality during the pandemic has been limited. This study examined the association between socioeconomic background (SEB) and older adults' sleep quality during the COVID-19 pandemic. Data on 7040 adults aged ≥50 were acquired from a COVID-19 sub-study of the English Longitudinal Study of Ageing (ELSA). SEB was operationalized using educational attainment, previous financial situation, and concern about the future financial situation. Sociodemographic, mental health, physical health, and health behavior variables were included as covariates. Chi-squared tests and binary logistic regression were used to examine associations between SEB and sleep quality. Lower educational attainment and greater financial hardship and concerns were associated with poor sleep quality. The relationship between educational attainment and sleep quality was explained by the financial variables, while the relationship between previous financial difficulties and sleep quality was explained by physical health and health behavior variables. Greater financial concerns about the future, poor mental health, and poor physical health were independent risk factors for poor sleep quality in older adults during the pandemic. Healthcare professionals and service providers should consider these issues when supporting older patients with sleep problems and in promoting health and wellness.

Relationship Between Physical Exercise and Cognitive Impairment Among Older Adults with Type 2 Diabetes: Chain Mediating Roles of Sleep Quality and Depression.

Although physical exercise has been shown to boost physical, psychological, and psychiatric conditions in older adults, there is a relative lack of research on the mechanisms involved in this process for older adults with type 2 diabetes mellitus (T2DM). We thus evaluated whether sleep quality and depression mediated the relationship between physical exercise and cognitive impairment in older adults with T2DM by focusing on the exercise-physiology-psychology and psychiatry connection. Self-reported data were collected from 2646 older adults with T2DM in Weifang, Shandong, China. Regression and bootstrap analyses were conducted to explore the chain mediator model including physical exercise, cognitive impairment, sleep quality, and depression. Engaging in physical exercise (coefficient = -0.6858, p < 0.001), high levels of sleep quality (coefficient = -0.3397, p = 0.015), and low levels of depression (coefficient = 0.3866, p < 0.001) were significantly associated with a low level of cognitive impairment. Sleep quality and depression mediated the chain effect between physical exercise and cognitive impairment (total effect = -1.0732, 95% CI [-1.3652, -0.7862]; direct effect = -0.6858, 95% CI [-0.9702, -0.3974]; indirect effect = -0.3875, 95% CI [-0.5369, -0.2521]). Physical exercise may improve sleep quality in older adults with T2DM, alleviating depression and delaying the development of cognitive impairment. Physical exercise can enhance patients' ability to resist depression and cognitive impairment, and creating comfortable sleep environments can also reinforce the effects of this process. These findings have important implications for promoting healthy aging in older adults with T2DM.

Longitudinal relationships of loneliness and sleep quality in older adults

Longitudinal relationships of loneliness and sleep quality in older adults

Mobile Phone Addiction and Sleep Quality among Older People: The Mediating Roles of Depression and Loneliness

Rapid social development has made the elderly increasingly dependent on mobile phones, and mobile phone addiction has a negative effect on sleep quality. The underlying mechanism between the two is unclear. This study examined the mediating role of depression and loneliness in the relationship between phone addiction and sleep quality in older adults. Mobile Phone Addiction Scale Short Version, Pittsburgh Sleep Quality Index scale, UCLA (University of California, Los Angeles)-8 Loneliness Scale, and Short Geriatric Depression Scale (GDS-15) were used to investigate 459 older adults in China. The results showed that there was a positive correlation between mobile phone addiction and sleep quality in the elderly. In addition, depression and loneliness partially mediated the relationship between mobile phone addiction and sleep quality in older adults. The current study provides new insights into the impact of mobile phone addiction on sleep quality and the importance of depression and loneliness in older adults. The limitations and significance of this study are discussed.

Adverse Childhood Experiences and Poor Sleep Quality in Older Adults: The Influence of Emotion Regulation.

Adverse childhood experiences (ACEs) are associated with sleep impairment across the life span, but little is known about modifiable factors that may ameliorate this relationship, such as adaptive emotion regulation (ER) skills. Data were obtained from an online questionnaire completed by a community sample of older adults (N=278). The questionnaire included the Pittsburgh Sleep Quality Index, an Adverse Childhood Experiences questionnaire, the Cognitive Emotion Regulation Questionnaire (CERQ), and measures of health conditions, and other sample demographics. Moderation analyses were used to examine the interaction between ACEs and 5 adaptive ER skills of CERQ on sleep quality in older adults, while accounting for the effects of age, sex, income, body mass index, and health. ACEs were significantly associated with worse sleep quality in older adults, and this effect was moderated by positive reappraisal and refocusing on planning (all ps < .05). For individuals reporting greater use of these ER skills, ACEs had no effect on sleep quality, whereas for individuals reporting less frequent use of these ER skills, ACEs were associated with substantially worse sleep quality. This relationship remained significant after accounting for age, sex, income, body mass index, and health conditions in the model. The effects of ACEs on sleep quality persist into older age; however, greater use of ER skills that focus on positively reframing negative events and identifying strategies for coping protect against sleep impairment in individuals with higher ACEs.