Sleep and frailty risk: a systematic review and meta-analysis

Factors associated with frailty in older people: an umbrella review

BACKGROUND

The number of frail older people is increasing worldwide, and all countries will be confronted with their growing needs for healthcare and social support. The aim of this umbrella review was to summarize the evidence on the factors associated with frailty in older people, using a socioecological approach.

METHODS

PubMed (MEDLINE), Scopus, Web of Science, ScienceDirect, Hinari (research4life), and the Trip database were systematically searched up to April 2023. Systematic reviews of observational studies that explored factors associated with frailty in older adults aged 60 years and over were considered for inclusion. No language, geographical or setting restrictions were applied. However, we excluded systematic reviews that investigated frailty factors in the context of specific diseases. The Joanna Briggs Institute Critical Appraisal Checklist for Systematic Reviews and Research Syntheses and the ROBIS tool were used to assess the quality and risk of bias in the included studies.

RESULTS

Forty-four systematic reviews were included, covering 1,150 primary studies with approximately 2,687,911 participants overall. Several risk factors, protective factors and biomarkers were found to be associated with frailty, especially in community-dwelling older people, including 67 significant associations from meta-analyses. The certainty of the evidence was rated as moderate or reached moderate levels for seven factors relevant to older people. These factors include depression (OR 4.66, 95% CI 4.07 to 5.34), loneliness (OR 3.51, 95% CI 2.70 to 4.56), limitations in activities of daily living (OR 2.59, 95% CI 1.71 to 3.48), risk of malnutrition (OR 3.52, 95% CI 2.96 to 4.17), Dietary Inflammatory Index score (OR 1.24, 95% CI 1.16 to 1.33), maximal walking speed (Standardized Mean Difference (SMD) -0.97, 95% CI -1.25 to -0.68), and self-reported masticatory dysfunction (OR 1.83, 95% CI 1.55 to 2.18). Additionally, only greater adherence to a Mediterranean diet showed a high level of evidence (OR 0.44, 95% CI 0.31 to 0.64).

CONCLUSIONS

This umbrella review will provide guidance for prevention strategies and clinical practice by promoting healthy lifestyles and addressing all modifiable risk factors associated with frailty. Future systematic reviews should consider heterogeneity and publication bias, as these were the main reasons for downgrading the level of evidence in our review.

REGISTRATION

PROSPERO 2022, CRD42022328902.

A 6-month educational program improves sleep behaviour in community-dwelling frail older adults: A randomised controlled trial

BACKGROUND

The prevalence of sleep-related issues among older adults is a significant concern, with half of the older population reporting these problems. Consequently, strategies to improve sleep are needed for this population. This study aims to assess the effects of a health educational program on sleep behaviour among pre-frail or frail older adults residing in the community and to explore possible associations with frailty.

METHODS

This randomised controlled trial (NCT05610605) included a total of 197 community-dwelling older adults with frailty/pre-frailty, divided into control (n = 88) and educational (n = 109) groups, were assessed at baseline, after the 6-month educational program (6 months), and 6 months after the intervention (12 months). The intervention comprised four group sessions and six follow-up phone calls, focusing on frailty, physical activity, dietary habits, and cognitive training. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI) and wrist-worn accelerometry.

RESULTS

At 6 months, a significant time-by-group interaction was found for self-reported [β = -0.449, 95%CI (-0.844, -0.053), p = 0.026] and accelerometer-measured [β = 0.505, 95%CI (0.085, 0.926), p = 0.019] sleep efficiency, showing improved sleep efficiency in the intervention group vs. controls. A significant time-by-group interaction at 6 months was noted for sleep awakenings [β = -0.402, 95%CI (-0.825, -0.020), p = 0.047]. The educational program led to a significant decrease in awakenings, while the control group experienced an increase. The change in the number of awakenings (Rs = 0.183, p = 0.020) at 6 months was significantly associated with changes in frailty. Moreover, a significant time-by-group interaction was reported at the 12-month assessment [β = -0.449, 95%CI (-0.844, -0.053), p = 0.026] for self-reported sleep quality, indicating better results in the intervention group compared to controls.

CONCLUSION

The educational program improved sleep quality and sleep efficiency while reducing the number of awakenings per night among community-dwelling frail older adults, offering a practical approach to addressing sleep-related challenges in this demographic.

Effects of air pollutants exposure on frailty risk: A systematic review and meta-analysis

Air pollutants have been investigated to be associated with many health issues. Recently, increasing epidemiological studies have suggested the association between air pollution exposure and risk of frailty with inconsistent findings. This systematic review and meta-analysis was to summarize and evaluate effects of exposure to various air pollutants on risk of frailty. PubMed, Embase, Scopus and Web of Science were systematically searched for relevant studies published before May 11, 2024. Studies that explored the potential relationship between exposure to air pollutants (PM2.5, PM10, O3, NOx, solid fuel, secondhand tobacco, and air quality) and risk of frailty were included. The quality of cross-sectional and cohort studies was evaluated using an eight-item assessment instrument for epidemiological studies and Newcastle-Ottawa Scale, respectively. A total of 9,929 papers were retrieved, of which 20 met the inclusion criteria. Meta-analysis indicated that PM2.5 exposure was significantly associated with frailty assessed by the frailty index [OR (95% CI): 1.24 (1,11-1.38) per 10 μg/m3 increment]. Moreover, solid fuel exposures were significantly associated with an increased risk of frailty assessed by the frailty phenotype [OR (95% CI): 1.91 (1.09-3.34)] or the frailty index [OR (95% CI): 1.25 (1.11-1.41)]. Exposure to PM2.5 and solid fuel increases the risk of frailty. Environmental protection policies and public health measures should be developed to reduce PM2.5 concentrations. Effective measures, such as improving stoves and using clean fuels, should be taken to reduce indoor air pollution levels.

A predictive nomogram among hypertension old population from the community: A cross-sectional study

BACKGROUND

Frailty presents a significant challenge for aging adults, with a multitude of factors needing consideration. Despite this, there is a lack of research on predicting frailty in the old population with hypertension.

AIM

This study aims to create and validate a nomogram model for the old population with hypertension, to predict frailty and gain valuable insights into its prevalence and determinants.

METHOD

Data for this study were extracted from the "Psychology and Behavior Investigation of Chinese Residents (PBICR) in 2022 (PBICR-2022)", with information on frailty and related factors obtained through self-reported questionnaires. Frailty was assessed using the Fatigue, Resistance, Ambulation, Illnesses, and Loss of Weight (FRAIL) scale. The independent variables encompassed sociodemographic, physiological, psychological, and family health factors. A total of 1135 participants aged over 60 with hypertension were included in the study. Univariate and stepwise binary logistic regression analyses were conducted to identify the relationship between frailty and multiple risk factors and to establish the frailty risk prediction nomogram.

RESULTS

The prevalence of social frailty was found to be 30.91%. The final model included the degree of hypertension, history of falling in the past 3 months, Brief Illness Perception Questionnaire score, depression levels, and Family Health Scale score. The model exhibited good accuracy in the testing set, with an area under the ROC curve of 0.984 (95% CI: 0.978, 0.990).

CONCLUSION

These findings suggest that the prediction model effectively estimated the prevalence of frailty in the older population with hypertension from community and identified associated factors. The model demonstrated good performance and holds potential for further study on the management of frailty.

Sleep quality and associated factors among people who inject drugs in Iran: a nationwide survey using respondent-driven sampling

BACKGROUND

Poor sleep quality is a significant issue among people who inject drugs (PWID). This study aimed to evaluate sleep quality and associated factors among PWID in Iran.

METHODS

Using respondent-driven sampling, 2,652 PWID (2,563 male) were recruited in 11 major cities in Iran between 2019 and 2020. The Pittsburgh Sleep Quality Index was utilized to measure sleep quality, and logistic regression was used to assess associations in RDSAnalyst, a software designed for respondent-driven sampling.

RESULTS

The overall prevalence of poor sleep quality was 68.4% (68.3% among males and 70.2% among females). Married PWID had higher odds of poor sleep quality (Adjusted Odds Ratio (AOR): 1.41; 95% CI: 1.05, 1.91). Lack of access to sufficient food in the past 12 months was also associated with poor sleep quality (AOR: 1.73; 95% CI: 1.17, 2.57 for sometimes having no access, and AOR: 2.95; 95% CI: 1.93, 4.52 for always having no access compared to always having access). Additionally, good self-rated health was significantly associated with lower odds of poor sleep quality (AOR: 0.19; 95% CI: 0.11, 0.31).

CONCLUSION

Poor sleep quality is prevalent among PWID in Iran. It is recommended to mitigate the adverse effects of this issue and enhance the overall quality of life for PWID. Supportive interventions aimed at preventing and treating poor sleep quality, as well as improving overall health outcomes, are essential.

Sleep Characteristics, Magnetic Resonance Imaging- and Dual-Energy X-Ray Absorptiometry-Based Morphological Parameters, Muscle Strength, and Risk of Falls in Sedentary Older Subjects

BACKGROUND

The aims of this cross-sectional study were to (a) assess actigraphy-based sleep parameters (total sample and gender differences), (b) assess differences in morphological parameters and physical function between short- versus normal-sleepers and poor- versus good-sleepers, and (c) assess the possible correlations between sleep variables and morphological and physical function parameters in older subjects.

METHODS

This study enrolled 42 healthy older participants (60-80 years). Participants completed the following clinical evaluations: (1) whole-body dual-energy X-ray absorptiometry to assess the appendicular skeletal muscle mass index; (2) magnetic resonance imaging acquisition to determine the cross-sectional muscle area of thigh muscles and intermuscular adipose tissue; (3) risk of fall assessment through the mini-Balance Evaluation Systems Test; (4) strength assessment: (a) chair stand test and (b) handgrip strength test; (5) sleep monitoring by actigraphy to assess total sleep time, sleep efficiency, wake after sleep onset, sleep latency, fragmentation index, mobile time, and subjective sleep quality.

RESULTS

31.0% of subjects were short-sleepers (total sleep time < 6 hr), 19.1% were poor-sleepers (sleep efficiency < 85%), and gender differences were detected in mobile time (males: 15.8 ± 6.0 and females: 13.4 ± 6.8; p < .001) and fragmentation index (males: 35.3 ± 14.3 and females: 29.6 ± 14.6; p < .001); no significant differences were observed between groups (short- vs. normal-sleepers and poor- vs. good-sleepers) in morphological and physical function variables; correlation analysis showed that sleep latency negatively correlated with Mini-Balance Evaluation Systems Test (r = -.352; p = .022) and a positive correlation was detected between cross-sectional muscle area and mobile time (r = .349, p = .023).

CONCLUSION

No differences were observed in morphological and function parameters between good- versus poor-sleepers, those subjects with worse sleep onset latency (i.e., longer time to fall asleep) registered higher for risk of fall. The potential role of sleep in the physiological mechanisms of muscular aging must be explored through cross-sectional cohort studies with a larger population.

Dose-response relationship between physical activity and frailty: A systematic review and meta-analysis

Objective

Frailty is a significant public health issue facing aging societies and can be reduced by physical activity (PA), but the dose-response relationship between PA and frailty is not clear. This systematic review and dose-response meta-analysis aimed to assess the effect of PA on frailty in adults by aggregating data from observational studies.

Methods

PubMed, Embase, Web of Science, Cochrane Library, Scopus, SAGE Reference Online, SinoMed, CINAHL and CNKI were retrieved for articles published before May 2024. After quality evaluation, data on PA and the risk of frailty were extracted. Stata/MP 17.0 was used for dose-response meta-analysis.

Results

A total of 15 articles were included, involving 34,754 participants, including 4250 subjects with frailty or pre-frailty. The consequence of the dose-response meta-analysis revealed that compared with those who were not active at all, a 22 % (95 % CI, 16 %-28 %) reduction in the risk of frailty in individuals with 11.25 MET h/week of cumulative activity and a 55 % (95 % CI, 44 %-63 %) reduction in the risk of frailty in those with 22.5 MET h/week of cumulative activity; for higher activity levels (36.75 MET h/week), the risk of frailty was reduced by 68 % (95 % CI, 58 %-76 %) and continued to be reduced as PA volum increased.

Conclusions

There is a non-linear dose-response relationship between PA and frailty risk. Even small amounts of PA could reduce the risk of frailty. Meeting the minimum recommended PA target could reduce some risks, and doubling the recommended PA volumes could reduce most risks, which continue to increase as the volum of PA accumulates.

Associations Between Physical Activity and Inactivity Levels on Physical Function and Sleep Parameters of Older Adults With Frailty Phenotype

This study investigated the relationship between physical activity, inactivity, physical function, and sleep in older adults with a frailty phenotype. A total of 184 pre-frail/frail older adults were included. Physical activity, inactive behavior, and sleep parameters were assessed using a wrist-worn accelerometer. Participants were categorized into four groups based on their levels of inactivity and physical activity. The results showed that individuals with lower levels of inactivity had better lower body mean velocity and sleep regularity than those with higher levels of inactivity. Physically active older adults exhibited faster gait speed and performed better in lower body strength tests than physically inactive participants. Further analysis revealed that specific combinations of inactivity and physical activity were associated with varying levels of physical function. The findings highlight the importance of physical activity and the negative impact of inactivity on physical function and sleep in older adults with a frailty phenotype.

Depressive Symptoms, Sleep Quality, and Pain Are Associated With Frailty in Nursing Home Residents During the COVID-19 Pandemic

BACKGROUND

The COVID-19 pandemic has caused severe effects on older adults. Depressive symptoms, poor sleep quality, and pain are common in older adults with frailty. However, it is unknown the relationship between these symptoms and frailty in nursing home residents and the difference of importance between pain intensity and pain impact on frailty during the COVID-19 Pandemic. Therefore, this study aims to explore the associations between depressive symptoms, poor sleep quality, pain intensity, and pain impact with frailty in older adults living in nursing homes.

METHODS

In this cross-sectional population-based study, 172 older adults living in nursing homes from Changsha in China were included. We collected data on depressive symptoms, sleep quality, pain, and frailty using the Patient Health Questionnaire, the Pittsburgh Sleep Quality, the Brief Pain Inventory-short form, and the FRAIL-NH Scale. Generalized linear regression models were used to explore the interaction association between these symptoms with frailty.

RESULTS

Most older adults were between 80 and 90 years old. Approximately 11.6% of older adults experienced one of the following symptoms: depressive symptoms, poor sleep quality, pain intensity, or pain impact. Moreover, 76.7% of older adults experienced at least two of these symptoms. The most common overlapping symptoms were depressive symptoms and poor sleep quality (14.5%). Among nursing home residents, the most common sites of pain were the lower limbs, followed by the back. There was a strong correlation between depressive symptoms, sleep quality, pain intensity, pain impact, and frailty. After adjusting for covariates, the interaction term between any two or three symptoms of depressive symptoms, poor sleep quality, pain intensity, and pain impact was found to be associated with a higher likelihood of frailty in older adults residing in nursing homes (p< .05).

CONCLUSIONS

Depressive symptoms, poor sleep quality, pain intensity, and pain impact are common among nursing home residents. Furthermore, these symptoms interacted with each other. In future studies, multidisciplinary interventions aimed at releasing these symptoms and reducing the adverse outcome of frailty are needed.

Roles of Sleep Quality, Self-Efficacy, and Coping Style in the Frailty of Community-Dwelling Older Adults: A Cross-Sectional Study

OBJECTIVES

Although the association between sleep disorders and frailty has been well established, little is known about the cognitive appraisal mechanisms underlying this association. Building on the transactional theory of stress and coping, this study explores the role of self-efficacy and coping style in the association between sleep quality and frailty among community-dwelling older adults.

METHODS

In this cross-sectional study, 585 community-dwelling older adults were investigated using the Pittsburgh Sleep Quality Index, Tilburg Frailty Indicator, General Self-Efficacy Scale, and Simplified Coping Style Questionnaire. Descriptive statistics and hierarchical regression were performed. A moderated mediation model was established using the PROCESS macro.

RESULTS

Poor sleep quality affects frailty directly (B = 0.193, p < .01) and indirectly via self-efficacy (B = 0.063, p < .01). The negative impact of poor sleep on frailty through self-efficacy was moderated by both positive and negative coping style (index =  -0.007). The moderating effect was stronger when participants' negative coping tendencies increased.

CONCLUSIONS

Poor sleep quality indirectly influences frailty by modifying self-efficacy. Effective coping strategies can help attenuate this association.

CLINICAL IMPLICATIONS

Timely sleep assessment and tailored strategies such as psychoeducational programs and targeted coping skills training may be beneficial for preventing frailty in older adults.

Causality between sleep traits and the risk of frailty: a Mendelian randomization study

Background

Research based on observation has demonstrated a relationship between sleep traits and frailty; however, it remains uncertain if this correlation indicates causation. The purpose of this study was to look at the causal relationship that exists between frailty and sleep traits.

Method

Using summaries from a genome-wide association study of self-reported sleep features and frailty index, we performed a bidirectional Mendelian randomization (MR) analysis. Examining the causal relationships between seven sleep-related traits and frailty was the goal. The major method used to calculate effect estimates was the inverse-variance weighted method, supplemented by the weighted median and MR-Egger approaches. The study investigated pleiotropy and heterogeneity using several methodologies, such as the MR-Egger intercept, the MR-PRESSO approach, and the Cochran's Q test. We took multivariate Mendelian randomization and genetic correlations between related traits to enhance the confidence of the results. Furthermore, we used MRlap to correct for any estimation bias due to sample overlap.

Results

Insomnia, napping during the day, and sleep apnea syndrome exhibited a positive connection with the frailty index in forward MR analysis. Conversely, there is a negative link between getting up in the morning, snoring and sleep duration with the frailty index. During the reverse MR analysis, the frailty index exhibited a positive correlation with insomnia, napping during the day, and sleep apnea syndrome, while demonstrating a negative correlation with sleep duration. There was no direct correlation between snoring, chronotype, and frailty. In MVMR analyses, the causal effect of sleep characteristics on frailty indices remained consistent after adjusting for potential confounders including BMI, smoking, and triglycerides.

Conclusion

The findings of our investigation yield novel evidence that substantiates the notion of a bidirectional causal connection between sleep traits and frailty. Through the optimization of sleep, it is potentially feasible to hinder, postpone, or even reverse the state of frailty, and we proposed relevant interventions.

The causal relationship between sleep disturbances and the risk of frailty: a two-sample Mendelian randomization study

OBJECTIVE

Adequate sleep is closely related to people's health. However, with increasing age, the quality of sleep worsens. At the same time, among elderly individuals, frailty is also a disturbing factor, which makes elderly individuals more vulnerable to negative factors. To explore the relationship between the two, we conducted this study.

METHODS

In this paper, independent genetic variations related to insomnia, sleep duration and daytime sleepiness were selected as IVs, and related genetic tools were used to search published genome-wide association studies for a two-sample Mendelian randomization (TSMR) analysis. The inverse-variance weighted (IVW) method was used as the main Mendelian randomization analysis method. Cochran's Q test was used to test heterogeneity, MR‒Egger was used to test horizontal pleiotropy, and the MR-PRESSO test was used to remove outliers.

RESULTS

According to our research, insomnia (OR = 1.10, 95% CI 1.03-1.17, P = 2.59e-97), long sleep duration (OR = 0.66, 95% CI 0.37-1.17, P = 0.02), short sleep duration (OR = 1.30, 95% CI 1.22-1.38, P = 2.23e-17) and daytime sleepiness (OR = 1.49, 95% CI 1.25-1.77, P = 0.96e-4) had a bidirectional causal relationship with frailty.

CONCLUSIONS

Our research showed that there is a causal relationship between sleep disturbances and frailty. This result was obtained by a TSMR analysis, which involves the use of genetic variation as an IV to determine causal relationships between exposure and outcome. Future TSMR studies should include a larger sample for analysis.

Prevalence and Factors Associated With Frailty Among Older Adults Living With HIV Compared to Their Uninfected Peers From the Kenyan Coast

Objectives: a) To document the prevalence and correlates of frailty among older adults living with HIV (OALWH) and their uninfected peers, and b) Investigate HIV status as an independent predictor of frailty. Methods: This cross-sectional study was conducted between 2020 and 2021 at the Kenyan coast among 440 older adults aged ≥50 years (257 OALWH). Frailty was assessed using the Reported Edmonton Frail Scale. Logistic regression was used to examine the correlates of frailty. Results: The prevalence of frailty was significantly higher among OALWH (24%) than their uninfected peers (13%). HIV seropositivity was not independently associated with frailty. Sleeping difficulties, ageism, higher waist/hip ratio, visiting traditional healers, HIV treatment change/interruption, prolonged illness following HIV diagnosis, and self-reported diabetes were significantly associated with higher odds of frailty. Residing in larger households, having higher income, having friends, being male and light physical activities were significantly associated with reduced odds of frailty. Conclusion: The prevalence of frailty is elevated among OALWH; however, factors other than HIV are predominant, particularly psychosocial factors. Multicomponent interventions are needed to prevent/delay and manage frailty in this setting.

Investigating the shared genetic architecture between frailty and insomnia

Background

The epidemiological association between frailty and insomnia is well established, yet the presence of a common genetic etiology is still uncertain. Further exploration is needed to ascertain the causal relationship between frailty and insomnia.

Methods

Utilizing data obtained from genome-wide association studies (GWAS) summaries, we utilized the linkage disequilibrium score regression (LDSC) to determine the genetic correlation existing between frailty and insomnia. The determination of causality was achieved through the application of two-sample Mendelian randomization. We investigated the enrichment of single nucleotide polymorphism (SNP) at various tissue types utilizing stratified LD score regression (S-LDSC) and multimarker analysis of genome annotation (MAGMA). Common risk SNPs were identified using Multi-Trait Analysis of GWAS (MTAG) and Cross-Phenotype Association (CPASSOC). We further investigated the expression profiles of risk genes in tissues using Summary-data-based Mendelian randomization(SMR) based on pooled data, to explore potential functional genes.

Results

Our findings indicated a significant genetic correlation between frailty and insomnia, highlighting SNPs sharing risk (rs34290943, rs10865954), with a pronounced correlation in the localized genomic region 3p21.31. Partitioned genetic analysis revealed 24 functional elements significantly associated with both frailty and insomnia. Furthermore, mendelian randomization revealed a causal connection between frailty and insomnia. The genetic correlation between frailty and insomnia showed enrichment in 11 brain regions (S-LDSC) and 9 brain regions (MAGMA), where four functional genes (RMB6, MST1R, RF123, and FAM212A) were identified.

Conclusion

This study suggests the existence of a genetic correlation and common risk genes between frailty and insomnia, contributing to a deeper comprehension of their pathogenesis and assists in identifying potential therapeutic targets.

Disturbed sleep after lung transplantation is associated with worse patient-reported outcomes and chronic lung allograft dysfunction

Many lung transplant recipients fail to derive the expected improvements in functioning, HRQL, or long-term survival. Sleep may represent an important, albeit rarely examined, factor influencing lung transplant outcomes. Within a larger cohort study, 141 lung transplant recipients completed the Medical Outcomes Study (MOS) Sleep Scale along with a broader survey of patient-reported outcome (PRO) measures and frailty assessment. MOS Sleep yields the Sleep Problems Index (SPI); we also derived an insomnia-specific subscale. Potential perioperative predictors of disturbed sleep and time to chronic lung allograft dysfunction (CLAD) and death were derived from medical records. We investigated associations between perioperative predictors on SPI and Insomnia and associations between SPI and Insomnia on PROs and frailty by linear regressions, adjusting for age, sex, and lung function. We evaluated the associations between SPI and Insomnia on time to CLAD and death using Cox models, adjusting for age, sex, and transplant indication. Post-transplant hospital length of stay >30 days was associated with worse sleep by SPI and insomnia (SPI: p=0.01; Insomnia p=0.02). Worse sleep by SPI and insomnia was associated with worse depression, cognitive function, HRQL, physical disability, health utilities, and Fried Frailty Phenotype frailty (all p<0.01). Those in the worst quartile of SPI and insomnia exhibited increased risk of CLAD (HR 2.18; 95%CI: 1.22-3.89 ; p=0.01 for SPI and HR 1.96; 95%CI 1.09-3.53; p=0.03 for insomnia). Worsening in SPI but not insomnia was also associated with mortality (HR: 1.29; 95%CI: 1.05-1.58; p=0.01). Poor sleep after lung transplant may be a novel predictor of patient reported outcomes, frailty, CLAD, and death with potentially important screening and treatment implications.

Does testosterone influence the association between sleep and frailty in men: results from the European Male Aging Study

BACKGROUND

Previous studies have suggested an association between sleep disturbance and frailty. The mechanism is unknown, although it has been suggested that hormonal factors may play a role.

METHODS

The aim was to determine the association between sleep duration, sleep quality and frailty, and to determine whether testosterone influenced this association. Males aged 40-79 years were recruited from eight European centres to the European Male Aging Study (EMAS). Subjects completed an interviewer-assisted questionnaire including questions regarding sleep quality and duration. Sleep quality was scored 0-20 and categorised as 0-4, 5-9, 10-14, and 15-20, with higher scores indicating poorer quality. A 39-component frailty index (FI) was constructed. Total testosterone levels were measured. The association between sleep duration, sleep quality and the FI was assessed using negative binomial regression, with adjustment for putative confounders including testosterone level.

RESULTS

Two thousand three hundred ninety-three participants contributed data to the analysis. The mean age was 63.3 years and mean sleep duration was 7.01 h. The mean frailty index was 0.15. Mean testosterone levels declined with decreasing sleep quality. After adjustment, compared to those with a sleep score of 0-4, the FI was 57% (95% CI 38%, 78%) higher among those with a sleep score of 15-20. After adjustment compared to those with normal sleep duration (6-9 h), those with a short (< 6 h) and long (≥ 9 h) sleep duration had a 16% (95% CI 6%, 28%) and 11% (95% CI 0%, 23%) higher FI, respectively. Adjustment for testosterone did not influence the strength of either association.

CONCLUSION

Frailty is associated with impaired sleep quality and sleep duration. The association cannot, however, be explained by variation in testosterone levels.

Bidirectional Relationship Between Circadian Rhythm and Frailty

Coupled with the ageing population, frailty, characterized by high prevalence and difficult treatment, has progressively evolved into a significant public health concern. Frail individuals can often observe serious metabolic disorders and sleep-wake cycle disruption, which may be caused by the decline in physiological reserve and increased vulnerability. Moreover, sleep-wake cycle disruptions and metabolic dysfunctions associated with circadian rhythm disorders are considered to be a central part of the disorder. Previous studies have documented a correlation between frailty and sleep-wake disruptions; nevertheless, the association between circadian rhythm disorders and frailty has not yet been definitively established. Hence, we hypothesize a bidirectional link between circadian rhythm disorders and frailty, with each condition exerting a significant influence on the progression of the other's disease trajectory.

Monitoring Gait and Physical Activity of Elderly Frail Individuals in Free-Living Environment: A Feasibility Study

INTRODUCTION

Frailty is conventionally diagnosed using clinical tests and self-reported assessments. However, digital health technologies (DHTs), such as wearable accelerometers, can capture physical activity and gait during daily life, enabling more objective assessments. In this study, we assess the feasibility of deploying DHTs in community-dwelling older individuals, and investigate the relationship between digital measurements of physical activity and gait in naturalistic environments and participants' frailty status, as measured by conventional assessments.

METHODS

Fried Frailty Score (FFS) was used to classify fifty healthy individuals as non-frail (FFS = 0, n/female = 21/11, mean ± SD age: 71.10 ± 3.59 years), pre-frail (FFS = 1-2, n/female = 23/9, age: 73.74 ± 5.52 years), or frail (FFS = 3+, n/female = 6/6, age: 70.70 ± 6.53 years). Participants wore wrist-worn and lumbar-worn GENEActiv accelerometers (Activinsights Ltd., Kimbolton, UK) during three in-laboratory visits, and at-home for 2 weeks, to measure physical activity and gait. After this period, they completed a comfort and usability questionnaire. Compliant days at-home were defined as follows: those with ≥18 h of wear time, for the wrist-worn accelerometer, and those with ≥1 detected walking bout, for the lumbar-worn accelerometer. For each at-home measurement, a group analysis was performed using a linear regression model followed by ANOVA, to investigate the effect of frailty on physical activity and gait. Correlation between at-home digital measurements and conventional in-laboratory assessments was also investigated.

RESULTS

Participants were highly compliant in wearing the accelerometers, as 94% indicated willingness to wear the wrist device, and 66% the lumbar device, for at least 1 week. Time spent in sedentary activity and time spent in moderate activity as measured from the wrist device, as well as average gait speed and its 95th percentile from the lumbar device were significantly different between frailty groups. Moderate correlations between digital measurements and self-reported physical activity were found.

CONCLUSIONS

This work highlights the feasibility of deploying DHTs in studies involving older individuals. The potential of digital measurements in distinguishing frailty phenotypes, while unobtrusively collecting unbiased data, thus minimizing participants' travels to sites, will be further assessed in a follow-up study.

Development and validation of a predictive model for depression risk in the U.S. adult population: Evidence from the 2007-2014 NHANES

BACKGROUND

Depression is a prevalent mental health disorder with a complex etiology and substantial public health implications. Early identification of individuals at risk for depression is crucial for effective intervention and prevention efforts. This study aimed to develop a predictive model for depression by integrating demographic factors (age, race, marital status, income), lifestyle factors (sleep duration, physical activity), and physiological measures (hypertension, blood lead levels). A key objective was to explore the role of physical activity and blood lead levels as predictors of current depression risk.

METHODS

Data were extracted from the 2007-2014 National Health and Nutrition Examination Survey (NHANES). We applied a logistic regression analysis to these data to assess the predictive value of the above eight factors for depression to create the predictive model.

RESULTS

The predictive model had bootstrap-corrected c-indexes of 0.68 (95% CI, 0.67-0.70) and 0.66 (95% CI, 0.64-0.68) for the training and validation cohorts, respectively, and well-calibrated curves. As the risk of depression increased, the proportion of participants with 1.76 ~ 68.90 µg/L blood lead gradually increased, and the proportion of participants with 0.05 ~ 0.66 µg/L blood lead gradually decreased. In addition, the proportion of sedentary participants increased as the risk of depression increased.

CONCLUSIONS

This study developed a depression risk assessment model that incorporates physical activity and blood lead factors. This model is a promising tool for screening, assessing, and treating depression in the general population. However, because the corrected c-indices of the predictive model have not yet reached an acceptable threshold of 0.70, caution should be exercised when drawing conclusions. Further research is required to improve the performance of this model.

Is there a ubiquitous association between sleep disorder and frailty? findings from LASI (2017-18)

BACKGROUND

Relatively little is known about how sleep disorders affect frailty of seniors. The study uses Fried's frailty index, to investigate the relationship between sleep disorder and frailty among older Indian adults.

METHODS

The study analysed Longitudinal Ageing Study in India (2017-18) data which uses a multistage stratified area probability cluster sampling design. The association between frailty was studied for which the total sample size was 31,902. The principal dependent variable was frailty. Descriptive statistics and cross-tabulation were presented in the study. A binary logistic regression analysis was used to fulfil the study objectives to find the possible association.

RESULTS

The prevalence of frailty in India was 21.3 percent. Older adults with sleep disorder had 66 percent higher likelihood to be frail than their counterparts. The benefits of physical activity in containing frailty is huge, the association were quite high. Poor Self-rated health was significantly associated with higher frailty (OR = 1.73; CI = 1.47-2.04).

CONCLUSIONS

Frailty is an enormously growing public health issue and has bi-directional relation with sleep disorders. The study has clinical relevance since sleep complaints offer a means for identifying those who are vulnerable to frailty and through appropriate intervention, the causes of sleep disorder would help to delay and in some cases reverse frailty.

The Relationship Between Sleep and Brain Function in Older Adults With Chronic Kidney Disease and Self-Identified Cognitive Impairment

Older adults with chronic kidney disease (CKD) are at risk for cognitive impairment and sleep disturbances. The purpose of the current study was to investigate the relationship between sleep and brain structure/function in older adults with CKD and self-identified cognitive impairment. The sample (N = 37) had a mean age of 68 years (SD = 4.9 years), estimated glomerular filtration rate of 43.7 mL/min/1.73m2 (SD = 10.98), median sleep time of 7.4 hours, and was 70% female. Sleeping <7.4 hours, compared to ≥7.4 hours, was associated with better attention/information processing (β = 11.46, 95% confidence interval [CI] [3.85, 19.06]) and better learning/memory (β = 2.06, 95% CI [0.37, 3.75]). Better sleep efficiency was associated with better global cerebral blood flow (β = 3.30, 95% CI [0.65, 5.95]). Longer awake length after sleep onset was associated with worse fractional anisotropy of the cingulum (β = -0.01, 95% CI [-0.02, -0.003]). Sleep duration and continuity may be related to brain function in older adults with CKD and self-identified cognitive impairment. [Journal of Gerontological Nursing, 49(7), 31-39.].

Malnutrition, Depression, Poor Sleep Quality, and Difficulty Falling Asleep at Night Are Associated with a Higher Risk of Cognitive Frailty in Older Adults during the COVID-19 Restrictions

The COVID-19 restrictions, such as social isolation and disruption of daily routines, can have detrimental effects, including increased stress, anxiety, sleep disturbance, and physical and cognitive decline among older adults. This study aimed to examine the association between nutritional status, depression, sleep quality, falling asleep at night, and cognitive frailty (CF) among older Thai adults during the COVID-19 pandemic. This cross-sectional study included 408 older adults with an average age of 70.54 (5.49) years. CF was determined using Fried's frailty phenotype and the Montreal Cognitive Assessment Basic. The Mini Nutritional Assessment-Short Form, Pittsburgh Sleep Quality Index, and geriatric depression assessment were used for assessment. Multiple logistic regression analysis demonstrated that participants who were malnourished (OR 3.786; 95%CI 1.719-8.335), depressed (OR 5.003; 95%CI 2.399-10.434), had poor sleep quality (OR 1.613; 95%CI 1.041-2.500), and engaged in difficulty falling asleep (OR 1.809; 95%CI 1.022-3.203) had a higher risk of CF compared to those who did not exhibit these factors. Therefore, malnutrition, depression, poor sleep quality, and difficulty falling asleep were identified as risk factors for CF among older adults in Thailand linked to the impact of the COVID-19 pandemic. It is crucial to develop interventions to prevent CF resulting from the mentioned variables.

Accelerated aging in people experiencing homelessness: A rapid review of frailty prevalence and determinants

Introduction

Older people experiencing homelessness (PEH) are a rapidly growing population at risk of accelerated aging and the early onset of geriatric conditions. One construct that shows promise in predicting age-related decline is frailty. Better understanding the rates and causes of frailty in PEH may improve understanding of its antecedents, thereby facilitating more targeted health and aged care service interventions. The aim of this study was to conduct a rapid review on the prevalence and determinants of frailty in adult PEH.

Methods

We conducted a rapid review of primary research papers studying PEH and frailty or frailty-related concepts.

Results

Fourteen studies were included, which indicate that frailty presents earlier and at higher rates in PEH than community-dwelling cohorts. A notable difficulty for many aging PEH was early-onset cognitive impairment which was associated with a range of negative functional outcomes. Another recurrent theme was the negative impact that drug and alcohol use and dependence can have on the health of PEH. Further, psychosocial and structural determinants such as loneliness, living in an impoverished neighborhood and being female had statistically significant associations with frailty and functional decline in PEH.

Discussion and implications

PEH in their 40s and 50s can be frail and experience geriatric conditions, including cognitive impairment. Factors that have important relationships to frailty and functional decline in PEH include cognitive deficits, drug and alcohol dependence and loneliness, as well as upstream determinants such as gender and ethnicity. More targeted data and research on these factors, including cohort studies to better investigate their potentially causal effects, is important for researchers and practitioners assessing and treating frailty in PEH, particularly those interested in early intervention and prevention.

Prospero registration ID

CRD42022292549.

Effects of different sleep disorders on frailty in the elderly: a systematic review and meta-analysis of observational studies

STUDY OBJECTIVES

Frailty is frequently reported following sleep disorders; however, the extent to which sleep disorders influence frailty remains unclear. In the current study, we performed a meta-analysis to evaluate the quantitative effects of different sleep disorders on frailty in the elderly.

METHODS

We conducted a systematic search of several databases, including PubMed, Web of Science, Embase, and Scopus, to retrieve articles published from May 2009 to June 2021. The data outcomes are expressed as the odds ratio (OR) and 95% confidence interval (CI).

RESULTS

Eighteen studies were included, with 39669 participants. Older adults with sleep disorders were found to have a higher risk of frailty (pooled OR = 1.49, 95%CI = 1.35-1.64, p < 0.01). Specifically, daytime sleepiness (pooled OR = 1.69, 95%CI = 1.09-2.61, p < 0.01), short sleep duration (pooled OR = 1.36, 95%CI = 1.20-1.54, p = 0.45), long sleep duration (pooled OR = 1.99, 95%CI = 1.39-2.85, p = 0.02), sleep latency extension (pooled OR = 1.38, 95%CI = 1.19-1.60, p = 0.72), and sleep disordered breathing (pooled OR = 1.30, 95%CI = 1.11-1.53, p = 0.37) were correlated with frailty.

CONCLUSIONS

The risk of frailty differs between older adults with sleep disorders and controls, suggesting that the relationships between different sleep disorders and frailty vary. These results highlight the need to monitor sleep disorders of the elderly and conduct intervention to prevent or delay the frailty process.

Interactions of Insomnia and Sedative-Hypnotic Drug Use Associated with Frailty Over Time Among Older Adults

BACKGROUND

Insomnia and frailty are prevalent in older adults. This study aimed to elucidate the impact of insomnia and sedative-hypnotic use on the frailty rate over time.

METHODS

We used data from community-dwelling older adults (mean ± SD age = 69.4 ± 8.2 years) from the Healthy Aging Longitudinal Study in Taiwan (HALST). A total of 4,744 participants were included in the study and were followed up for an average of 3.2 years. Frailty was assessed using the Fried criteria. Self-reported sleep problems, sedative-hypnotic use, and claims records from the National Health Insurance database were used. The generalized equation estimation (GEE) approach was applied to account for correlations between repeated measures. The average impact of insomnia and drug use on frailty over time was estimated by adjusting for potential confounding factors using the logic link in the GEE approach.

RESULTS

The adjusted odds ratio (OR) of frailty was 1.41 (95% CI: [1.16, 1.72], Z-test statistics Z = 3.39, p <0.001) for insomnia and 1.52 ([1.16, 2.00], Z = 3.00, p = 0.0027) for sedative-hypnotic use. Interactions between insomnia and sedative-hypnotic use with frailty were not statistically significant. Long sleep duration > 8 hours, daytime sleepiness, and sleep apnea was also associated with an increased likelihood of developing frailty. Notably, a dose-response relationship between sedative-hypnotic drug use and frailty was observed.

CONCLUSIONS

Insomnia and sedative-hypnotic use were independently associated with increased frailty. The implementation of nonpharmacological treatments to attenuate insomnia may reduce frailty rates.

Association between daytime nap duration and risks of frailty: Findings from the China Health and Retirement Longitudinal Study

Introduction

Night sleep duration and total sleep duration are associated with frailty. However, the association between daytime nap duration and the risks of frailty has not been explored thoroughly.

Methods

This study used data from the China Health and Retirement Longitudinal Study (CHARLS). Participants aged 60 years and older at baseline were included in this study. Individuals with daytime nap duration were categorized into four groups: no napping, short napping (< 30 min), moderate napping (30-89 min), and extended napping (≥90 min). Frailty was assessed using a modified Physical Frailty Phenotype (PFP) scale. Non-frail participants at baseline were followed up for 4 years. The association between nap duration and risks of frailty at baseline and incident frailty was evaluated by logistic regression and discrete-time Cox regression analyses, respectively.

Results

In total, 5,126 participants were included in this study. For individuals with night sleep duration of ≥9 h, short nappers showed higher odds [odds ratio (OR) = 4.08, 95% confidence interval (CI): 1.30-12.78] for frailty compared with non-habitual nappers at baseline, while moderate nappers were less likely to be frail (OR = 0.18, 95% CI: 0.04-0.73). In the follow-up study, short nappers showed higher risks for frailty compared with participants of the no napping group with night sleep duration of < 6 h [hazard ratio (HR) = 1.91, 95% CI: 1.07-3.43] or 6-9 h (HR = 1.97, 95% CI: 1.18-3.30). Compared with short nappers, older adults with extended napping (HR = 0.41, 95% CI: 0.22-0.77) showed lower risks for frailty in those with night sleep duration of 6-9 h. For individuals with night sleep duration of ≥9 h, moderate napping (HR = 0.20, 95% CI: 0.05-0.77) decreased the risks for frailty compared with short napping.

Conclusion

Among older adults with night sleep duration of < 9 h, short nappers posed higher risks for frailty compared with non-habitual nappers. Extended naps for those with a night sleep duration of 6-9 h or moderate naps for those with night sleep duration of ≥9 h could lower the risk of frailty compared with short naps. Future studies on the timing, purpose, frequency, and quality of daytime napping and objectively measured nap duration are needed to explore the association between daytime napping and risks of frailty.

Interaction between sleep quality and dietary inflammation on frailty: NHANES 2005-2008

Aims: The underlying mechanism of both sleep disorders and frailty is chronic inflammation, which can be reflected by the dietary inflammatory index (DII). Therefore, we aimed to explore the association between sleep quality, frailty, and dietary inflammation. Methods: 9007 participants aged over 20 years from the National Health and Nutrition Examination Survey (NHANES) in 2005-2008 were involved in the study. Dietary inflammation was assessed by DII, sleep quality was assessed by the Pittsburgh sleep quality index (PSQI), and frailty was assessed by the 36-item frailty index (FI). Logistic regression, stratified analysis of sub-groups, and forest plots were used in this study. Results: Both pro-inflammatory diet and poor sleep quality were risk factors for frailty. There was an interaction between dietary inflammation and sleep quality (P-interaction = 0.003). Pro-inflammatory diet was associated with increased risk of frailty among the population with poor sleep quality. Compared with the anti-inflammatory diet and good sleep quality group, the OR of frailty was 1.44 (1.21, 1.73) and 2.16 (1.64, 2.80) for the anti-inflammatory diet and poor sleep quality and pro-inflammatory diet and poor sleep quality groups, respectively. Conclusion: There was an interaction between dietary inflammation and sleep quality on frailty. Anti-inflammatory diet may attenuate the detrimental impacts of poor sleep quality on frailty.

Isotemporal substitution of sleep or sedentary behavior with physical activity in the context of frailty among older adults: a cross-sectional study

BACKGROUND

Frailty syndrome is associated with various physical, cognitive, social, economic, and environmental factors. Although frailty syndrome occurs progressively with age, prevention and treatment are possible. Reducing or eliminating risks and increasing protective factors may be potential strategies for reducing the prevalence of injuries related to frailty. One of the most effective actions is to decrease the time spent in sedentary behavior (SB) by increasing regular physical activity (PA).

OBJECTIVE

To examine the hypothetical effect of substitution of the time spent in sleep or SB with an equivalent time spent performing moderate or vigorous PA on frailty syndrome in the older population.

DESIGN AND SETTING

An analytical cross-sectional study conducted using exploratory methods of survey, carried out in Alcobaça city, Bahia, Brazil.

METHODS

A total of 456 older adults of both sexes, aged ≥ 60 years, participated in this study. Frailty syndrome was identified according to the criteria of the Study of Osteoporotic Fractures. PA and SB were assessed using the International Physical Activity Questionnaire, and sleep was assessed using the Pittsburgh Sleep Quality Index. The effects of time substitution on these behaviors were verified using Poisson regression.

RESULTS

The replacement of 60 min/day of SB (prevalence ratio, PR = 0.52; 95% confidence interval, CI: 0.28-0.96) or sleep (PR = 0.52; 95% CI: 0.27-0.98) with 60 min/day of moderate PA (MPA) was associated with a 48% reduction in the prevalence of frailty syndrome.

CONCLUSIONS

Replacing the time spent sitting or sleeping with the same amount of MPA time may reduce frailty; the longer the duration of time spent in the substitution of sleep or SB with MPA, the greater the benefits.

Prevalence and risk factors of cognitive frailty in community-dwelling older adults with diabetes: A systematic review and meta-analysis

AIMS

Cognitive frailty can increase the risk of adverse health outcomes in older adults. Estimates of the prevalence of cognitive frailty among older adults with diabetes varied widely in literature. This study aimed to conduct a systematic review and meta-analysis to assess the pooled prevalence of cognitive frailty and risk factors in community-dwelling older adults with diabetes, providing evidence for healthcare professionals to better understand the status of cognitive frailty and help develop effective interventions.

METHODS

Databases of PubMed, Web of Science, Cochrane Library, Embase, Cumulative Index of Nursing and Allied Health, Proquest, China National Knowledge Infrastructure and China Biology Medicine were searched from inception to February 10th, 2022. The reviewers independently selected studies, extracted data and assessed the quality of studies. Pooled prevalence of cognitive frailty and risk factors were estimated. Subgroup analysis, meta-regression analysis, sensitivity analysis and publication bias were also conducted.

RESULTS

A total of 15 studies with 6391 participants were included in this review. The pooled prevalence of cognitive frailty was 11% (95%CI = 7.9-14%) in community-dwelling older adults with diabetes. Pooled estimates showed that increasing age, higher level of HbA1c, shorter night sleep duration and depression were risk factors, and regular exercise was the protective factor of cognitive frailty in community-dwelling older adults with diabetes.

CONCLUSION

Cognitive frailty was common in community-dwelling older adults with diabetes. Routine screening of cognitive frailty and effective interventions should be implemented for this population in community settings.

REGISTRATION

PROSPERO ID CRD42021276973.

Age Group Differences in the Association Between Sleep Status and Frailty Among Community-Dwelling Older Adults: The SONIC Study

Objective: We aimed to determine whether the association of sleep status with frailty differs between age groups of older adults. Method: This cross-sectional study was part of the observational Septuagenarians, Octogenarians, Nonagenarians Investigation with Centenarians (SONIC) study. Subjects were community-dwelling older adults in their 70s and 80s. Frailty was evaluated using the Japanese version of the Cardiovascular Health Study criteria (J-CHS). Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep status. Poor sleep quality was defined as a PSQI global score ≥6. Sleep duration was categorized as short (<6 hr), normal (6-8), and long (>8). We performed multivariable logistic regression to investigate the association between sleep status and frailty separately for each age group adjusted for multiple covariates. Results: In those in their 70s, long sleep duration and sleep medication use were independently associated with frailty. In those in their 80s, poor sleep quality was independently associated with frailty. Conclusions: The association between sleep status and frailty was different between age groups. The findings underscore the importance of incorporating the evaluation of sleep quantity and non-pharmacological therapies in those in their 70s and the evaluation of sleep quality in those in their 80s to help prevent the onset of frailty.

Association of physical activity, sedentary behaviour, and daylight exposure with sleep in an ageing population: findings from the Whitehall accelerometer sub-study

BACKGROUND

Ageing is accompanied by changes in sleep, while poor sleep is suggested as a risk factor for several health outcomes. Non-pharmacological approaches have been proposed to improve sleep in elderly; their impact remains to be investigated. The aim of this study was to examine the independent day-to-day associations of physical behaviours and daylight exposure with sleep characteristics among older adults.

METHODS

Data were drawn from 3942 participants (age range: 60-83 years; 27% women) from the Whitehall II accelerometer sub-study. Day-to-day associations of objectively-assessed daytime physical behaviours (sedentary behaviour, light-intensity physical activity (LIPA), moderate-to-vigorous physical activity (MVPA), mean acceleration, physical activity chronotype) and daylight exposure (proportion of waking window with light exposure > 1000 lx and light chronotype) with sleep characteristics were examined using mixed models.

RESULTS

A 10%-increase in proportion of the waking period spent sedentary was associated with 5.12-minute (4.31, 5.92) later sleep onset and 1.76-minute shorter sleep duration (95%confidence interval: 0.86, 2.66). Similar increases in LIPA and MVPA were associated with 6.69 (5.67, 7.71) and 4.15 (2.49, 5.81) earlier sleep onset respectively and around 2-minute longer sleep duration (2.02 (0.87, 3.17) and 2.23 (0.36, 4.11), respectively), although the association was attenuated for MVPA after adjustment for daylight exposure (1.11 (- 0.84, 3.06)). A 3-hour later physical activity chronotype was associated with a 4.79-minute later sleep onset (4.15, 5.43) and 2.73-minute shorter sleep duration (1.99, 3.47). A 10%-increase in proportion of waking period exposed to light> 1000 lx was associated with 1.36-minute longer sleep (0.69, 2.03), independently from mean acceleration. Associations found for sleep duration were also evident for duration of the sleep windows with slightly larger effect size (for example, 3.60 (2.37, 4.82) minutes for 10%-increase in LIPA), resulting in associations with sleep efficiency in the opposite direction (for example, - 0.29% (- 0.42, - 0.16) for 10%-increase in LIPA). Overall, associations were stronger for women than for men.

CONCLUSIONS

In this study, higher levels of physical activity and daylight exposure were associated with slightly longer sleep in older adults. Given the small effect sizes of the associations, increased physical activity and daylight exposure might not be enough to improve sleep.

Association between recovery of frailty state and the nonparametric rest-activity rhythm patterns in the elderly community-dwellers: A 6-month follow-up study during Covid-19 pandemic

Reversibility of frailty in the elderly has been discussed comprehensively and but association between recovery of frail state and rest-activity rhythm (RAR) patterns remains unclear. The aim of the current study was to examine a predictor of RAR patterns at the baseline against change of frail state after the intervention in the elderly community-dwellers. This study was performed during Covid-19 pandemic, at the period from April in 2020 to March in 2022. Participants were publicly recruited from senior's exercise program hosted by Akita city or Yurihonjo city. The revised Japanese version of the Cardiovascular Health Study criteria (revised J-CHS criteria) was used to assess frail state in each participant before and after the 6-month intervention. To measure the nonparametric RAR parameters consisting of interdaily stability (IS), intra-daily variability (IV), relative amplitude (RA) and average physical activity for the most active 10-h span (M10) or for the least active 5-h span (L5) over the average 24-h profile, an Actiwatch Spectrum Plus device was worn on each participant's non-dominant wrist for seven continuous days. The final samples were 75 participants except for persons with uncompleted data, classified into the improved group (n = 12), the maintained group (n = 53) and the deteriorated group (n = 10) according to frail alteration after the six-month intervention. As a result of the multinomial logistic regression analysis with the reference of the maintained group, the improvement of frail state associated with a low value of IS and total night-sleep time at the baseline, and M10 and L5 at the initial time were also able to predict worsening of frail state after the six-months intervention. A result of this follow-up study provides grounds for our proposal that alterations of RAR patterns in the elderly could be observed in association with recovery or worsening of frail state after the intervention. The potential finding, however, warrants further longitudinal investigation.

Food insecurity is associated with the sleep quality and quantity in adults: a systematic review and meta-analysis

OBJECTIVE

We evaluated associations between food insecurity (FI) and the quality and quantity of sleep in adults (≥18 years).

DESIGN

The current study represented a systematic review and meta-analysis of observational studies.

SETTING

Databases of PubMed, Scopus, Embase and Web of Science were searched from inception until 6 June 2022. Meta-analyses were conducted using random-effects models, and effect sizes were reported as OR and 95 % CI.

PARTICIPANTS

Data from ten eligible observational studies, including 83 764 participants, were included.

RESULTS

FI was associated with an increased risk of poor sleep quality (OR = 1·45; 95 % CI (1·24, 1·70), I2 = 95, P < 0·001, n 7). Besides, subgroup analysis showed increased risk of poor sleep quality corresponding to the severity of FI across mild (OR = 1·31; 95 % CI (1·16, 1·48), I2 = 0 %, P < 0·001, n 5), moderate (OR = 1·49; 95 % CI (1·32, 1·68), I2 = 0 %, P < 0·001, n 5) and severe (OR = 1·89; 95 % CI (1·63, 2·20), I2 = 0 %, P < 0·001, n 5) levels. Similarly, subgroup analysis by sleep problems showed that FI was associated with an increased the risk of trouble falling asleep (OR = 1·39; 95 % CI (1·05, 1·83), I2 = 91 %, P = 0·002, n 3) and trouble staying asleep (OR = 1·91; 95 % CI (1·37, 2·67), I2 = 89 %, P < 0·001, n 3). Moreover, FI was associated with the odds of shorter (OR = 1·14; 95 % CI (1·07, 1·21), I2 = 0 %, P < 0·001, n 4) and longer sleep duration (OR = 1·14; 95 % CI (1·03, 1·26), I2 = 0 %, P = 0·010, n 4).

CONCLUSIONS

Collective evidence supports that FI is associated with poor sleep quality and quantity in adults. Preventative and management strategies that address FI may provide health benefits beyond improving nutritional status per se.

Association of sleep quality and nap duration with cognitive frailty among older adults living in nursing homes

Background

Sleep status, including sleep quality and nap duration, may be associated with frailty and cognitive impairment in older adults. Older adults living in nursing homes may be more prone to physical and cognitive frailties. This study aimed to investigate the association between sleep quality and nap duration, and cognitive frailty among older adults living in nursing homes.

Methods

This study included 1,206 older adults aged ≥ 60 years from nursing homes in Hunan province, China. A simple frailty questionnaire (FRAIL scale) was used and Mini-Mental State Examination was conducted to assess physical frailty and cognitive impairment, respectively, to confirm cognitive frailty. The Pittsburgh Sleep Quality Index was used to assess the sleep quality. Nap duration was classified as follows: no, short (≤30 min), and long (>30 min) napping. Multinomial logistic regression was conducted to estimate the odds ratio (OR) and 95% confidence interval (CI).

Results

The prevalence of cognitive frailty among the older adults in nursing homes was 17.5%. Approximately 60.9% of the older adults had a poor sleep quality. Among the 1,206 participants, 43.9% did not take naps, 29.1% had short naps, and 26.9% had long naps. After adjusting for all covariates, poor sleep quality (OR 2.53; 95% CI 1.78-3.59; P < 0.001) and long nap duration (OR 1.77; 95% CI 1.19-2.64; P = 0.003) were associated with higher odds of cognitive frailty, but short nap duration (OR 0.60; 95% CI 0.40-0.89; P = 0.012) was associated with low prevalence of cognitive frailty.

Conclusion

Poor sleep quality and long nap duration are significantly associated with high risk of cognitive frailty among the older adults in nursing homes. Short nap duration was associated with low prevalence of cognitive frailty. However, these associations require further validation in older adults.

Clinical trial registration

https://osf.io/57hv8.

Factors associated with short and long sleep duration in older adults: Analysis of a national survey in Japan

AIM

This study aimed to clarify the association between sleep duration and various physical and psychosocial factors among older Japanese adults.

METHODS

Data from 295 367 households were obtained from the 2013 Comprehensive Survey of Living Conditions in Japan, a self-administered questionnaire survey. We restricted our analyses to 115 205 participants who responded to all the items required for this study. Multinomial logistic regression models examined the association between sleep duration and various factors.

RESULTS

Overall, 26.0% of the participants slept for <6 h, 56.0% slept for 6-8 h, and 18.0% slept for ≥8 h. Poor subjective health and mental health increased the risk of both short (poor subjective health: odds ratio [OR] 1.22, 95% confidence interval [CI] 1.17-1.27; severe mental distress: OR 2.21, 95% CI 2.04-2.40) and long (poor subjective health: OR 1.19, 95% CI 1.13-1.24; severe mental distress: OR 1.25, 95% CI 1.13-1.38) sleep duration. Many subjective symptoms, including chest, respiratory, musculoskeletal and urogenital symptoms, were associated with short sleep duration. However, only memory loss was associated with long sleep duration (OR 1.23, 95% CI 1.16-1.31).

CONCLUSIONS

We need to be aware that older people with short sleep duration may have various physical symptoms. Moreover, as physical and mental problems, cognitive decline and unhealthy lifestyles are associated with long sleep duration, we also need to pay attention to the living conditions of those who complain of long sleep duration. The limitations of this study were that the variables were self-reported and sleep duration was not evaluated objectively. Geriatr Gerontol Int ••; ••: ••-•• Geriatr Gerontol Int 2022; ••: ••-••.

Mindfulness-based Cognitive Therapy to Improve Sleep Quality in Older Adults with Insomnia

There is a high prevalence of insomnia in older adults, which has negative consequences for their well-being and quality of life. The recommendation for first-line treatments is to administer non-pharmacological interventions. The objective of this research was to verify the effectiveness of Mindfulness-Based Cognitive Therapy in older adults with subclinical and moderate insomnia, studying its impact on sleep quality. One hundred and six older adults participated and were assigned to the subclinical insomnia (n = 50) or moderate insomnia (n = 56) groups; subsequently, they were randomly assigned to the control and intervention groups. Subjects were evaluated at two times with the Insomnia Severity Index and the Pittsburgh Sleep Quality Index. Significant results were obtained on both scales, with a reduction in insomnia symptoms in the subclinical and moderate intervention groups. The administration of a treatment that combines mindfulness and cognitive therapy is effective for treating insomnia in older adults.

Dietary Quality, Sleep Quality and Muscle Mass Predicted Frailty among Chinese Postmenopausal Women in Malaysia

The older adult population is growing faster than any age group, which increases their risk of frailty. Studies conducted among older adult are relatively scarce in Malaysia, especially among Chinese postmenopausal women, who have the longest life expectancy. Thus, the present study aimed to determine the prevalence of frailty and its associated factors among Chinese postmenopausal women. A total of 220 eligible respondents were recruited, with information on sociodemographic background, comorbidities, dietary intake and lifestyle behaviour were obtained using a structured questionnaire, while anthropometry indicators were assessed according to standard protocol. Fasting blood was withdrawn for the analysis of serum 25(OH)D. Multinomial logistic regression was used to determine factors that predict pre-frailty and frailty. Prevalence of pre-frailty and prevalence of frailty were 64.5 and 7.3%, respectively, and most of the respondents presented with weak handgrip strength. Pre-frailty was prevalent among the younger population. Dietary quality was unsatisfactory among the respondents, and the majority of them presented with a high percentage of body fat. An increased dietary quality index (DQI), poor sleep and low muscle mass were factors that contributed to frailty. In conclusion, nutritional factors should be considered in developing health-related policies and programs in reducing and delaying the onset of frailty.

Interactive effects of exercise and sleep on frailty severity in community-dwelling older adults: a cross-sectional study

Objectives: This study examined the effects of the interaction between exercise and sleep on frailty severity in community-dwelling older adults.

Materials and Methods: This was a cross-sectional study. Data were collected in July 2019. In total, 2021 adults participated who responded to a questionnaire. Among them, 672 participants (317 men and 355 women) with valid responses were included in the analysis. Ordinal logistic regression analysis was performed to examine the association between frailty severity and the interaction between exercise and sleep. The dependent variable represents three different levels of frailty. The independent variables included basic information and interaction between exercise and sleep.

Results: The results of ordinal logistic regression analysis (odds ratio [OR]) showed that the period from the start of exercise (OR=0.96), age (OR=1.00 for participants in their 60 s, OR=1.65 for those in their 70s, and OR=3.13 for those aged >80 years), poor subjective health perception (OR=2.12), poor quality of sleep (OR=1.88), stress (OR=1.62), and exercise–sleep interaction (OR=1.00 based on good-exercise–good-sleep interaction, OR=3.09 poor-exercise–good-sleep interaction, and OR=3.50 poor-exercise–poor-sleep interaction) significantly contributed to the model. The Nagelkerke coefficient of determination adjusted for degrees-of-freedom (R²), which represents the contribution rate of the regression equation, was 0.334.

Conclusions: Our results suggest that a combination of good exercise and good sleep is needed to prevent frailty progression in community-dwelling older adults.

Sleep Duration and Frailty Risk among Older Adults: Evidence from a Retrospective, Population-Based Cohort Study

OBJECTIVES

Frailty and sleep duration complaints are both prevalent and often coexist among older adults. The purpose of this study was to examine the prospective association between sleep duration and frailty risk in a nationally representative cohort study.

DESIGN

Prospective cohort study, ten-year follow-up.

SETTING

Community-based setting in 23 provinces of China.

PARTICIPANTS

A total of 7623 older adults age 65 and over without frailty at baseline were included in the analysis.

MEASUREMENTS

The participants were divided into three groups according to self-reported sleep duration: short (≤6 hours per day), middle (>6 but <10 hours per day) and long (≥10 hours per day). Frailty was measured according to the accumulation of health deficits by the construction of a frailty index of 38 items with 0.25 as the cutoff. A Cox proportional hazard model, a competing risk model and a generalized estimating equation (GEE) model with multiple adjustments were performed to evaluate the association between sleep duration and frailty risk.

RESULTS

During a median follow-up period of 4.4 years (IQR 2.9-9.0), 2531 (33.2%) individuals developed frailty. Compared with participants with middle sleep duration, the risk of frailty was increased among participants with long sleep duration (HR 1.26, 95% CI 1.14-1.38) in the fully adjusted Cox proportional hazard model. However, short sleep duration was insignificantly associated with frailty risk. The competing risk model and the GEE model yielded similar results.

CONCLUSION

Long sleep duration is significantly associated with frailty incidence among older adults even after adjustment for confounding factors. This study provides reinforcing longitudinal evidence for the need to design sleep quality improvement interventions in health care programs to prevent frailty among older adults.

Sleep Quality Mediates the Association Between Cerebral Small Vessel Disease Burden and Frailty: A Community-Based Study

Background: Physical frailty is a common problem among older adults which usually leads to adverse health outcomes. The imaging markers of cerebral small vessel disease (CSVD) are associated with frailty, but the underlying mechanisms remain unclear. The present study aimed to investigate the mediating role of sleep quality in the relationship between CSVD burden and frailty. Methods: We performed a cross-sectional study and enrolled community residents. Frailty and sleep quality were measured using the Fried frailty phenotype and the Pittsburgh Sleep Quality Index (PSQI), respectively. A multivariate linear regression analysis and a Bootstrap analysis were performed to examine the association among the key variables and the mediating role of sleep quality. Results: Of the 726 participants (mean age: 65.5 ± 6.5 years, 59.8% female), the numbers (percentages) of the frail, prefrail, and robust residents were 49 (6.7%), 310 (42.7%), and 367 (50.6%), respectively. After adjusting for covariates, the CSVD burden and PSQI score were significantly associated with the frailty score. In addition, sleep quality played a partial mediating role in the association between CSVD burden and physical frailty. The mediating effect was 21.9%. Conclusion: The present study suggests that sleep quality is a mediator of this association between CSVD and frailty in community-dwelling older adults. Improving sleep quality might be helpful to mitigate the risk of frailty in CSVD patients.

Bidirectional relationship between insomnia and frailty in older adults: A 2-year longitudinal study

BACKGROUND

Most previous studies that examined the association of insomnia with frailty used cross-sectional designs. The temporal relationship between these factors is therefore largely unknown. This study aimed to examine the bidirectional relationship between insomnia and frailty by sex.

METHODS

A 2-year longitudinal study involving all community-dwelling older adults living in a rural area in Japan (n = 3844). Validated measures of insomnia and frailty were employed. Insomnia was assessed using the Athens insomnia scale, and frailty using the Kihon checklist. We performed a cross-lagged panel model, adjusted for age, sex, years of education, employment status, self-rated health, complications (hypertension, diabetes, stroke, or osteoarthritis), BMI, physical activity, alcohol consumption, and smoking status, and assessed differences by sex.

RESULTS

Poor sleep predicted the onset and worsening of frailty during follow up (standardized coefficient [95% confidence interval]: 0.076 [0.045, 0.107]). Frailty also predicted severe insomnia symptoms (0.074 [0.044, 0.104]). However, the temporal association between these conditions varied by sex. In older men, the effect of frailty on insomnia was stronger than that of insomnia on frailty. However, in women, the impact of insomnia on frailty was stronger than that of frailty on insomnia.

CONCLUSIONS

The primary potential cause of the association between insomnia and frailty may vary by sex, being frailty in men and insomnia in women. Sex-specific interventions to improve sleep quality and duration, and maintain functional abilities in daily life may contribute to the prevention and management of both frailty and insomnia in older adults.

Sleep duration and health outcomes: an umbrella review

PURPOSE

To collect existing evidence on the relationship between sleep duration and health outcomes.

METHODS

A thorough search was conducted in PubMed, Web of Science, Embase, and the Cochrane Database of Systematic Reviews from inception to January, 2021. Meta-analyses of observational and interventional studies were eligible if they examined the associations between sleep duration and human health.

RESULTS

In total, this umbrella review identified 69 meta-analyses with 11 outcomes for cancers and 30 outcomes for non-cancer conditions. Inappropriate sleep durations may significantly elevate the risk for cardiovascular disease (CVD), cognitive decline, coronary heart disease (CHD), depression, falls, frailty, lung cancer, metabolic syndrome (MS), and stroke. Dose-response analysis revealed that a 1-h reduction per 24 hours is associated with an increased risk by 3-11% of all-cause mortality, CHD, osteoporosis, stroke, and T2DM among short sleepers. Conversely, a 1-h increment in long sleepers is associated with a 7-17% higher risk of stroke mortality, CHD, stroke, and T2DM in adults.

CONCLUSION

Inappropriate sleep duration is a risk factor for developing non-cancer conditions. Decreasing and increasing sleep hours towards extreme sleep durations are associated with poor health outcomes.

The relationship between insomnia symptoms and frailty in community-dwelling older persons: a path analysis

BACKGROUND

The relationship between sleep and frailty in older age is complex. Most previous studies focused on sleep duration, while insomnia, a common sleep problem in older adults, has not been adequately examined and the factors implicated in its association with frailty were under-explored.

METHODS

A community-based sample of 345 prefrail and frail older adults were recruited and completed the measures on insomnia symptoms (Pittsburgh Sleep Quality Index) and frailty status (FRAIL Scale). The relationship between insomnia symptoms and frailty, with potential mediators including physical performance (Short Physical Performance Battery), depression (Patient Health Questionnaire-9), and level of physical activity (Physical Activity Scale for the Elderly), were tested in path analysis adjusting for age, gender, body mass index and sleep medications.

RESULTS

The prevalence of sleep-onset insomnia was higher in frail participants than their prefrail counterparts (48% vs. 34%, aOR = 1.73; 95% CI 1.09, 2.76; p = 0.02), but there was no significant difference in the prevalence of sleep-maintenance insomnia (61% vs. 54%). The association between sleep-onset insomnia and frailty was explained by reduced physical performance (standardized coefficient = 0.11; 95% BCa CI [0.002, 0.233]), but not depression and level of physical activity. Sleep-maintenance insomnia was not associated with frailty.

CONCLUSIONS

Insomnia symptoms are prevalent in frail and prefrail older adults. Sleep-onset insomnia is associated with poorer physical performance, which is further linked to a higher risk for frailty in older persons. The findings highlight the importance of timely assessing and managing insomnia among older adults at risk of frailty.

Chrono-Nutrition Has Potential in Preventing Age-Related Muscle Loss and Dysfunction

The mammalian circadian clock systems regulate the day-night variation of several physiological functions such as the sleep/wake cycle and core body temperature. Disturbance in the circadian clock due to shiftwork and chronic jetlag is related to the risk of several disorders such as metabolic syndrome and cancer. Recently, it has been thought that shiftwork increases the risk of sarcopenia which is characterized by age-related decline of muscle mass and its dysfunctions including muscle strength and/or physical performance. First, we summarize the association between circadian rhythm and the occurrence of sarcopenia and discuss its mechanistic insight by focusing on the muscle function and molecular clock gene in knockout or mutant mice. The clock gene knockout or mutant mice showed early aging phenotypes, including low survival rate and muscle loss. It suggests that improvement in the disturbance of the circadian clock plays an important role in the aging process of healthy muscles. Nutritional intake has the potential to augment muscle growth and entrain the peripheral clock. Second, we discuss the potential of chrono-nutrition in preventing aging-related muscle loss and dysfunction. We also focus on the effects of time-restricted feeding (TRF) and the distribution of protein intake across three meals.

Correlates of Early-Stage Frailty-Sleep, Fitness, Oxidative Stress, and BMI

Frailty reflects a decreased reserve in multiple systems resulting from cumulative decline. Frailty markers should be identified as early as possible to attenuate the loss of reserve. The aim of this study was to identify potentially modifiable correlates of frailty in relatively healthy older adults. Volunteers (n = 122) were recruited from local councils and, based on gender and age, were divided into one group of men aged 77.0 (±5.3), and two groups of women, aged 68.8 (±3.6) and aged 78.4 (±3.4). Frailty was assessed by a Frailty Index. The examined correlates were: physical activity, physical fitness (predicted peak VO₂), sleep quality, oxidative stress (hydrogen peroxide-H₂O₂) and depression. Both groups of women had poor scores on physical fitness compared to women's norms. In order to examine the contribution of each of the potential correlates to explaining the variance of frailty, stepwise regressions were performed for each group separately. Based on the results, none of the suggested correlates significantly explained the variability of frailty in the men. In the younger-aged women, predicted peak VO₂ and sleep quality explained 22.4% of the variability of frailty. In the older women, Body Mass Index (BMI), oxidative stress and sleep quality explained 34.9% of the variance. It is possible that increased aerobic fitness and interventions for improving sleep quality in older, seemingly healthy women will slow down the frailty process. Further research is needed to assess potential correlates of frailty, and to initiate suitable interventions to mitigate the signs of frailty at an early stage.

Associations between sleep duration, midday napping, depression, and falls among postmenopausal women in China: a population-based nationwide study

OBJECTIVE

To explore the independent and joint associations of sleep duration, midday napping, and depression with fall accidents in Chinese postmenopausal women.

METHODS

A total of 2,378 postmenopausal women aged ≥ 45 years from the baseline survey of the China Health and Retirement Longitudinal Study were enrolled in the study. Each participant provided data on falls, sleep duration, midday napping by a self-reporting approach. We employed the Chinese version of the Center for Epidemiologic Studies Depression Scale to assess depression. Adjusted odds ratios (OR) and 95% confidence intervals (CI) were calculated to estimate the associations of predictor variables with falls using multivariate logistic regression.

RESULTS

Of the 2,378 postmenopausal women, 478 (20.10%) reported falls in the preceding 2 years. Compared with sleep duration of 7 to 8 h/night, sleep duration of 5 to 6 h/night (OR, 1.49; 95% CI, 1.03-2.15) and of ≤ 5 h/night (OR, 1.63; 95% CI, 1.18-2.25) were associated with a higher fall prevalence. However, no significant correlation was found between sleep duration of > 8 h/night and falls. Furthermore, participants with depression were more likely to report falls (OR, 1.78; 95% CI, 1.41-2.25) than their depression-free counterparts. The duration of midday napping was not independently associated with falls, but significant joint associations of sleeping ≤ 6 h/night and no napping (OR, 1.72; 95% CI, 1.07-2.76) or napping > 60 minutes (OR, 2.14; 95% CI, 1.18-3.89) with more falls were found. Similarly, a combined status of sleeping ≤ 6 h/night and depression was related to more falls (OR, 2.97; 95% CI, 1.86-4.74).

CONCLUSION

The present study demonstrates that short sleep duration and depression are independently associated with more falls among postmenopausal women in China. Moreover, short sleep duration combined with no or long napping, short sleep duration combined with depression are jointly correlated with more falls. Future longitudinal studies are warranted to confirm these findings.

Correlation between Sleep Quality and Frailty Status among Middle-Aged and Older Taiwanese People: A Community-Based, Cross-Sectional Study

Poor sleep quality and frailty are common problems among aged people. However, the association between sleep quality and frailty in middle-aged and older people is seldom discussed in Asia, especially in Taiwan. This study investigated this association hopefully to provide pertinent knowledge for the prevention of frailty. We conducted a cross-sectional study and enrolled 828 subjects, 237 male and 591 female, aged 50–85 years old, from a community in Northern Taiwan. Poor sleep quality was defined as the Chinese version of the Pittsburgh Sleep Quality Index (CPSQI) > 5. Prefrailty and frailty were defined as fulfillment of one or two and three, respectively, of five phenotypic criteria: exhaustion, weakness, slowness, weight loss, and low physical activity. Our univariate analysis showed that the incidence of prefrailty/frailty in the group of poor sleep quality was higher than that in the group of CPSQI ≤ 5 (p < 0.001). Further multiple logistic regression analysis revealed that poor sleep quality was an independent factor for prefrailty and frailty status (odds ratio = 1.95, 95% confidence interval = 1.38–2.77), after adjustment for confounding factors. We concluded that poor sleep quality is independently associated with prefrailty and frailty status in our study population.