Factors Associated With Improving or Worsening the State of Frailty: A Secondary Data Analysis of a 5-Year Longitudinal Study

Sustained frailty remission and dementia risk in older adults: A longitudinal study

INTRODUCTION

Physical frailty is reversible, but little is known about the sustainability of frailty remission and its impact on dementia.

METHODS

Data were derived from the National Health and Aging Trends Study (NHATS) (2011 to 2021). Physical frailty was assessed using the Fried frailty phenotype, and frailty transition patterns across three waves were defined. The relationship of sustained frailty remission with incident dementia was examined using Cox proportional regression, stratified by age and gender.

RESULTS

Among 1931 participants, 348 (18.0%) were capable of sustained frailty remission. During the 8-year follow-up, 279 participants developed dementia. In a fully adjusted model, sustained remission was associated with a lower risk of dementia (hazard ratio = 0.66, 95% confidence interval = 0.47 to 0.93). The association was more pronounced among younger-old and male participants but not observed among their counterparts.

DISCUSSION

Sustained frailty remission was associated with a reduced risk of developing dementia. Physical frailty could be an essential forewarning of dementia and a target for interventions.

HIGHLIGHTS

We provided new insights into the natural progression of frailty and its impact on dementia risk using a nationally representative sample Sustained frailty remission reduced risk of incident dementia. Age and gender played a role in the frailty-dementia link, and thus individualized dementia risk screening is necessary. Physical frailty could be an essential forewarning of cognitive decline and an ideal target for interventions to prevent dementia.

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.

The association of technology acceptance and physical activity on frailty in older adults during the COVID-19 pandemic period

BACKGROUND

Physical activity was known to be the protective factor against frailty. Technology acceptance is associated with behavioural intention to technology usage. Technology has been effective in promoting healthy behaviour of physical activity. The purposes of this study were to examine the association between physical activity and technology acceptance with frailty and examine the moderation effect of technology acceptance on physical activity and frailty. We hypothesize that 1) physical activity and technology acceptance are associated with frailty, and 2) technology acceptance moderates the association of physical activity with frailty.

METHODS

This study employed a cross-sectional design and was conducted in the community settings of Hong Kong in 2021. Eligible participants were old people aged ≥60 and were community-dwelling. Key variables included physical activity measured by Rapid Assessment of Physical Activity (RAPA), social network measured by Lubben Social Network Scale-Six items (LSNS-6); depressive symptoms measured by Patient Health Questionnaire-Nine items (PHQ-9), technology acceptance measured by Senior Technology Acceptance Model-14 items (STAM-14) and frailty measured by Fatigue, Resistance, Ambulation, Illnesses, & Loss of Weight scale (FRAIL). Ordinal logistic regression was employed to test the hypotheses. The moderation effect was examined by introducing an interaction term formed by the multiplication of an independent variable (i.e., physical activity) and a moderating variable (i.e., technology acceptance).

RESULTS

This study recruited 380 eligible participants with a mean age of 66.5 years. Technology acceptance (Beta = - 0.031, p < 0.001, Pseudo-R2 = 0.087) and physical activity (Beta = - 0.182, p = 0.003, Pseudo-R2 = 0.027) were associated with frailty in the unadjusted models. Technology acceptance (Beta = - 0.066, p < 0.001) and physical activity (Beta = - 1.192, p < 0.001) were also associated with frailty in the fully adjusted model (Pseudo-R2 = 0.352). Interaction term formed by the multiplication of technology acceptance and physical activity (Beta = 0.012, p = 0.001) was associated with frailty. Physical activity was significantly associated with frailty in the lower technology acceptance subgroup (Beta = - 0.313, p = 0.002) in the subgroup analysis. However, in the subgroup of higher technology acceptance, the association of physical activity (Beta = 0.104, p = 408) on frailty became positive but not significant.

CONCLUSIONS

This study showed that physical activity and technology acceptance were associated with frailty, and technology acceptance moderated the association of physical activity with frailty. This study recommends engaging older adults in physical activity to combat frailty preferentially in those with a lower level of technology acceptance.

What If the Clinical and Older Adults' Perspectives about Frailty Converge? A Call for a Mixed Conceptual Model of Frailty: A Traditional Literature Review

Existing frailty models have enhanced research and practice; however, none of the models accounts for the perspective of older adults upon defining and operationalizing frailty. We aim to propose a mixed conceptual model that builds on the integral model while accounting for older adults' perceptions and lived experiences of frailty. We conducted a traditional literature review to address frailty attributes, risk factors, consequences, perceptions, and lived experiences of older adults with frailty. Frailty attributes are vulnerability/susceptibility, aging, dynamic, complex, physical, psychological, and social. Frailty perceptions and lived experience themes/subthemes are refusing frailty labeling, being labeled "by others" as compared to "self-labeling", from the perception of being frail towards acting as being frail, positive self-image, skepticism about frailty screening, communicating the term "frail", and negative and positive impacts and experiences of frailty. Frailty risk factors are classified into socio-demographic, biological, physical, psychological/cognitive, behavioral, and situational/environmental factors. The consequences of frailty affect the individual, the caregiver/family, the healthcare sector, and society. The mixed conceptual model of frailty consists of interacting risk factors, interacting attributes surrounded by the older adult's perception and lived experience, and interacting consequences at multiple levels. The mixed conceptual model provides a lens to qualify frailty in addition to quantifying it.

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.

The identification and prediction of frailty based on Bayesian network analysis in a community-dwelling older population

Background

We have witnessed frailty, which characterized by a decline in physiological reserves, become a major public health issue in older adults. Understanding the influential factors associated with frailty may help prevent or if possible reverse frailty. The present study aimed to investigate factors associated with frailty status and frailty transition in a community-dwelling older population.

Methods

A prospective cohort study on community-dwelling subjects aged ≥ 60 years was conducted, which was registered beforehand (ChiCTR 2,000,032,949). Participants who had completed two visits during 2020–2021 were included. Frailty status was evaluated using the Fried frailty phenotype. The least absolute shrinkage and selection operator (LASSO) regression was applied for variable selection. Bayesian network analysis with the max-min hill-climbing (MMHC) algorithm was used to identify factors related to frailty status and frailty transition.

Results

Of 1,981 subjects at baseline, 1,040 (52.5%) and 165 (8.33%) were classified as prefrailty and frailty. After one year, improved, stable, and worsening frailty status was observed in 460 (35.6%), 526 (40.7%), and 306 (23.7%) subjects, respectively. Based on the variables screened by LASSO regression, the Bayesian network structure suggested that age, nutritional status, instrumental activities of daily living (IADL), balance capacity, and social support were directly related to frailty status. The probability of developing frailty is 14.4% in an individual aged ≥ 71 years, which increases to 20.2% and 53.2% if the individual has balance impairment alone, or combined with IADL disability and malnutrition. At a longitudinal level, ADL/IADL decline was a direct predictor of worsening in frailty state, which further increased the risk of hospitalization. Low high-density lipoprotein cholesterol (HDL-C) and diastolic blood pressure (DBP) levels were related to malnutrition, and further had impacts on ADL/IADL decline, and ultimately led to the worsening of the frailty state. Knowing the status of any one or more of these factors can be used to infer the risk of frailty based on conditional probabilities.

Conclusion

Older age, malnutrition, IADL disability, and balance impairment are important factors for identifying frailty. Malnutrition and ADL/IADL decline further predict worsening of the frailty state.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03520-7.

Maintaining healthy sleep patterns and frailty transitions: a prospective Chinese study

BACKGROUND

Little is known about the effects of maintaining healthy sleep patterns on frailty transitions.

METHODS

Based on 23,847 Chinese adults aged 30-79 in a prospective cohort study, we examined the associations between sleep patterns and frailty transitions. Healthy sleep patterns included sleep duration at 7 or 8 h/d, without insomnia disorder, and no snoring. Participants who persisted with a healthy sleep pattern in both surveys were defined as maintaining a healthy sleep pattern and scored one point. We used 27 phenotypes to construct a frailty index and defined three statuses: robust, prefrail, and frail. Frailty transitions were defined as the change of frailty status between the 2 surveys: improved, worsened, and remained. Log-binomial regression was used to calculate the prevalence ratio (PR) to assess the effect of sleep patterns on frailty transitions.

RESULTS

During a median follow-up of 8.0 years among 23,847 adults, 45.5% of robust participants, and 10.8% of prefrail participants worsened their frailty status, while 18.6% of prefrail participants improved. Among robust participants at baseline, individuals who maintained sleep duration of 7 or 8 h/ds, without insomnia disorder, and no-snoring were less likely to worsen their frailty status; the corresponding PRs (95% CIs) were 0.92 (0.89-0.96), 0.76 (0.74-0.77), and 0.85 (0.82-0.88), respectively. Similar results were observed among prefrail participants maintaining healthy sleep patterns. Maintaining healthy sleep duration and without snoring, also raised the probability of improving the frailty status; the corresponding PRs were 1.09 (1.00-1.18) and 1.42 (1.31-1.54), respectively. Besides, a dose-response relationship was observed between constantly healthy sleep scores and the risk of frailty transitions (P for trend < 0.001).

CONCLUSIONS

Maintaining a comprehensive healthy sleep pattern was positively associated with a lower risk of worsening frailty status and a higher probability of improving frailty status among Chinese adults.

Relationship Between Muscle Quality or Stiffness Measured by Ultrasonography and Range of Motion in Hospitalized Older Adults

Older adults who require nursing care have joint contractures characterized by limited range of motion (ROM). The present study investigated age-related muscle changes using ultrasonography and the relationship between ROM and muscle changes in older adults. Twenty-two healthy young adults (mean age: 23.3 y) and 60 hospitalized older adults (mean age: 86.1 y) participated. ROM of hip abduction was measured using a goniometer. Echo intensity (EI), reflecting interstitial fibrous tissue or fat within adductor longus (ADDl) was measured using B-mode ultrasonography, and strain ratio (SR), reflecting ADDl stiffness, was measured by strain elastography. The Mann-Whitney U-test and Spearman's correlation test were used for analysis. The ROM and SR of older adults were significantly lower than those of young adults (both p values <0.001). The EI was significantly higher in older adults than in young adults (p < 0.001). In older adults, the SR was moderately correlated with ROM (ρ = 0.49, p < 0.001). In conclusion, limited ROM and increase in interstitial fibrous tissue or fat and stiffness occur with aging, and the SR measured by strain elastography is useful for investigating the effect of muscle stiffness on the ROM of hospitalized older adults.

Home environment and frailty in very old adults

Background

Since older adults spend much time in their home environment (HE), frailty may occur as a consequence of a maladaptation to the HE. The aim of this study was to describe the prevalence of frailty in the very old population of North Rhine-Westphalia, and to examine the association between the HE and the frailty levels of these individuals.

Methods

Data from a cross-sectional representative study were used, including data on 1577 community-dwelling individuals and nursing home residents aged ≥ 80 years. Objective and subjective HE aspects were included. Frailty was defined according to four criteria: exhaustion, unintentional weight loss, weakness, and low physical activity. Adjusted multinomial regression modelling was used to analyze the link between the HE and frailty levels.

Results

Of the very old individuals, 24.3% were robust, 57.0% were prefrail, and 18.7% were frail. Adjusting for relevant sociodemographic and health characteristics, being not closely attached to the HE was linked with an increased probability of being prefrail and frail. An improvement of the residential area was associated with a decrease in odds of being frail. Living in communities with less than 50,000 and with 100,000–499,999 inhabitants decreased the odds of being frail.

Discussion

Frailty prevalence is shown to be higher in the very old population than in the younger age groups in Germany. Early identification of frailty and tailored interventions focused on improving objective and subjective attributes of the HE are needed to reduce the risk of frailty.

Supplementary Information

The online version of this article (10.1007/s00391-021-01969-6) contains supplementary material, which is available to authorized users.

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.

Association between hearing loss and frailty: a systematic review and meta-analysis

Background

Frailty is associated with poor health outcomes in later life. Recent studies suggested that hearing loss may be a potentially modifiable risk factor associated with frailty.

Methods

This systematic review and meta-analysis aimed to investigate the association between hearing loss and frailty in observational studies of adults aged 50 years or over. We included observational studies with participants ≥ 50 years old that have clear descriptions of hearing and frailty measurement methods. Meta-analyses were conducted using measurement of risk and 95 % confidence interval of each individual study. Quality assessment, risk of bias, heterogeneity and sensitivity analyses were also conducted. Our study followed PRISMA guidelines.

Results

Our search identified 4508 manuscripts published in English between 1 and 2000 and 9 February 2021. Sixteen articles reported acceptable measurements of both hearing loss and frailty. Two papers were not suitable for meta-analysis. Twelve sets of cross-sectional data involving 12,313 participants, and three sets of longitudinal data involving 3042 participants were used in the meta-analysis. Hearing loss was associated with an 87 % increase in the risk of frailty among cross-sectional studies (risk ratio [RR] 1.87; 95 %CI 1.63–2.13) and 56 % among longitudinal studies (RR 1.56; 95 %CI 1.29–1.88). There was considerable heterogeneity among studies, but their quality rating, sample size or approach used to assess hearing loss did not change the results substantially.

Conclusions

The findings of this systematic review and meta-analysis of observational studies suggest that hearing loss increases the risk of frailty in later life. Whether this relationship is causal remains to be determined.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-021-02274-y.

Social factors predicting improvement of frailty in community-dwelling older adults: Korean Frailty and Aging Cohort Study

AIM

The study aimed to identify social factors predicting improvement of frailty in community-dwelling older adults after 2 years using a population-based cohort study.

METHODS

We analyzed data from the 2016 and 2018 Korean Frailty and Aging Cohort Study. The participants of this study were 1428 community-dwelling older adults aged 70-84 years who were recruited from 10 medical centers across different regions. Frailty was measured using the five-item FRAIL scale, which evaluates fatigue, resistance, ambulation, illness and weight loss. Multilevel logistic regression analysis was used to examine baseline social factors that predict frailty improvement after 2 years by frailty status.

RESULTS

In frail older adults, higher participation in social activities (odds ratio [OR] 1.17, 95% confidence interval [CI] 1.02-1.34) was significantly associated with frailty improvement. In pre-frail older adults, there were no significant social factors predicting the improvement of frailty status; however, other modifiable factors such as high and moderate levels of physical activity (OR 1.17, 95% CI 1.07-1.28, OR 1.13, 95% CI 1.03-1.25, respectively) and low depressive symptoms (OR 0.88, 95% CI 0.84-0.91) were associated with pre-frail improvements. High levels of physical activity (OR 1.16, 95% CI 1.02-1.33) were also associated with improvements of frailty.

CONCLUSIONS

Different strategies depending on the level of frailty are necessary to improve frailty status. Timely and appropriate interventions can promote frailty improvement and prevent negative health outcomes in community-dwelling older adults. Geriatr Gerontol Int 2021; 21: 465-471.