The prediction of quality of life by physical, psychological and social components of frailty in community-dwelling older people

A Novel Method for Identifying Frailty and Quantifying Muscle Strength Using the Six-Minute Walking Test

The six-minute walking test (6MWT) is an essential test for evaluating exercise tolerance in many respiratory and cardiovascular diseases. Frailty and sarcopenia can cause rapid aging of the cardiovascular system in elderly people. Early detection and evaluation of frailty and sarcopenia are crucial for determining the treatment method. We aimed to develop a wearable measuring system for the 6MWT and propose a method for identifying frailty and quantifying walking muscle strength (WMS). In this study, 60 elderly participants were asked to wear accelerometers behind their left and right ankles during the 6MWT. The gait data were collected by a computer or smartphone. We proposed a method for analyzing walking performance using the stride length (SL) and step cadence (SC) instead of gait speed directly. Four regions (Range I-IV) were divided by cutoff values of SC = 2.0 [step/s] and SL = 0.6 [m/step] for a quick view of the frail state. There were 62.5% of frail individuals distributed in Range III and 72.4% of non-frail individuals in Range I. A concept of a WMS score was proposed for estimating WMS quantitatively. We found that 62.5% of frail individuals were scored as WMS1 and 41.4% of the non-frail elderly as WMS4. The average walking distances corresponding to WMS1-4 were 207 m, 370 m, 432 m, and 462 m, respectively. The WMS score may be a useful tool for quantitatively estimating sarcopenia or frailty due to reduced cardiopulmonary function.

Mental health and frailty in people with multiple sclerosis: unraveling a complex relationship

People with multiple sclerosis (MS) have up to a 15 times higher risk of being frail compared to age-matched individuals without MS. Frailty is a biological syndrome of decreased physiological reserve and resilience that increases the vulnerability to adverse clinical outcomes and leads to a lower quality of life. Recent studies have begun investigating frailty in the context of MS, highlighting several associations between frailty and adverse events, such as falls, and common MS-related symptoms involving the physical health domain, such as walking and sleeping problems. However, there is a critical knowledge gap regarding the relationship between mental health and frailty in people with MS. This mini-review article aimed to shed light on the potential relationships between MS, frailty, and mental health. Despite the dearth of studies on this topic, indirect evidence strongly suggests that the association between frailty and mental health in people with MS is likely bidirectional in nature. Specifically, mental health disorders such as depression and anxiety may be involved in the etiology of frailty in people with MS. However, they could also be exacerbated by the detrimental effects of frailty on overall health. The complex relationship between frailty and mental health in MS underscores the multifaceted challenges people with MS face. Conducting further research to untangle such a relationship is critical to developing early detection and intervention strategies for improving well-being and medical outcomes in people with MS.

Health Outcome Comparison Based on Dietary Inflammatory Levels among Sample of Korean Elderly

The aim of this study was to investigate the effect of a senior-friendly diet based on the dietary inflammatory index (DII) on the nutritional status and health indicators of older people. A total of 256 participants were classified into tertiles based on their DII values and split into intervention (n = 201) and control (n = 55) groups. The intervention group was provided with a senior-friendly diet, and the control group was allowed to eat their usual diet. Before and after the trial, anthropometric measurements, blood analyses, and questionnaires were completed for both groups. The mean age of the participants was 82.49 years, and 66.4% were female. On average, participants had 2.5 medical conditions, with a notable prevalence of cardiovascular disease. Following the intervention, the energy, carbohydrate, protein, and fat intakes significantly increased in the intervention group compared to pre-intervention levels. Tertile 3 exhibited substantial improvements in total nutrition score, NQ-E balance, and DII total score, as well as in triglycerides and blood glucose, attributed to this dietary intervention compared to other groups. In comparison with Tertile 1, nutrient intake and nutritional status in Tertile 3 were closely associated with significant influencing factors of the dietary intervention. For the group with the worst DII (Tertile 3), this dietary intervention greatly improved nutritional status, nutrient intake, and clinical indicators; thus, this senior-friendly diet appears to be beneficial for elderly people with nutritional vulnerabilities.

Association of depression and sleep quality with frailty: a cross-sectional study in China

Background

With the rapid growth of global aging, frailty has become a serious public health burden, affecting the life quality of older adults. Depressive symptoms (depression hereafter) and sleep quality are associated with frailty, but the pathways in which sleep quality and depression affect frailty remain unclear.

Method

This cross-sectional study included 1866 community-dwelling older adults. Demographic characteristics and health-related data of them was collected, and we also assessed frailty, depression, and sleep quality. Descriptive statistics were carried out and ordinal logistic regression analysis was used to identify the factors correlated with frailty. Spearman correlation analysis and mediation analysis were employed to assess associations between sleep quality, depression and frailty. Two-sided p < 0.05 was considered as significant.

Results

The results showed that 4.1% older adults were frail and 31.0% were pre-frail. Ordinal logistic regression showed that age, consumptions of vegetables, exercise, sleep quality, depression, number of chronic diseases, chronic pain, and self-rated health were correlated with frailty. Spearman correlation analysis revealed that frailty was associated with depression and sleep quality. There was a mediation effect that sleep quality was a significant and positive predictor of frailty (total effect = 0.0545, 95% boot CI = 0.0449-0.0641), and depression was a mediator between sleep quality and frailty (mediation effect = 60.4%).

Conclusion

Depression and poor sleep quality may be early indicators of frailty in older adults. Improving the sleep quality and psychological state of older adults can improve frailty, which is beneficial for healthy aging.

Frailty of Prostate Cancer Patients Receiving Androgen Deprivation Therapy: A Scoping Review

PURPOSE

This study aimed to explore the existing literature on frailty experienced by patients with prostate cancer (PC) receiving androgen deprivation therapy (ADT).

MATERIALS AND METHODS

Database and manual searches were conducted to identify relevant studies published in English, with no limitation on the year of publication, according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews guidelines. Four databases-PubMed, Cochrane Library, EMBASE, and CINAHL-were used for database searches and reference lists, related journals, and Google Scholar were used for manual searches.

RESULTS

A total of 12 studies were analyzed for this scoping review. Of these, only 2 were intervention studies, and 1 was a randomized controlled trial. Among the two intervention studies, the multidisciplinary intervention program, including psychological counseling, nutritional coaching, and supervised group physical exercise did not show significant improvement in frailty. In contrast, high-dose vitamin D supplementation significantly decreased frailty. The conceptual and operational definitions of frailty used in each study varied, and the most used one was mainly focused on physical functions. As a result of analyzing the other health-related variables associated with frailty in patients with PC receiving ADT, age, metastases, comorbidities, and incident falls were related to a high frailty level. As for the physiological index, high levels of C-reactive protein, and interleukin-6, and fibrinogen, low levels of total testosterone, lymphocyte count, and creatinine were associated with a high level of frailty. A few studies explored the relationship between psychological and cognitive variables and frailty.

CONCLUSIONS

Further research related to frailty in patients with PC receiving ADT should be conducted, and effective interventions to manage frailty should be developed. Additionally, research that considers not only the physical domain of frailty but also the psychological, cognitive, and social domains needs to be conducted.

The effect of social frailty on mental health and quality of life in older people: a cross-sectional study

PURPOSE

This study aims to evaluate anxiety, depression, loneliness, death anxiety, and quality of life and investigate their relationship with social frailty in the geriatric population. Additionally, it aimed to identify social frailty predictors.

METHODS

The study included 136 participants admitted to the geriatric outpatient clinic. The 15-item Geriatric Depression Scale (GDS-15), the Multidimensional Scale of Perceived Social Support (MSPSS), the Cumulative Illness Rating Scale for Geriatrics (CIRS-G), the Templer Death Anxiety Scale (T-DAS), the Loneliness Scale for the Elderly (LSE), the Quality of Life Scale (CASP-19), the Generalized Anxiety Disorder-7 Test (GAD-7), the Tilburg Frailty Indicator (TFI), the FRAIL Scale, and the Clinical Frailty Scale (CFS) were performed. The TFI was used to collect data about social frailty.

RESULTS

There were 61.8% females, and the median age (min-max) was 72.2 (65.3-90.3) years. The prevalence rate of social frailty was 26.7%. The rates of depression, loneliness, anxiety, death anxiety, the burden of chronic disease, and frailty were higher in the social frailty group. Furthermore, logistic regression analysis revealed a strong relationship between social frailty status and widowhood (odds ratio (OR) 6.86; 95% confidence interval (95% CI), 2.42-19.37; p < 0.001), moderate to severe anxiety symptoms (OR 4.37; 95% CI 1.08-17.68; p = 0.038), and a TFI-physical frailty score (OR 1.40; 95% CI 1.12-1.73; p = 0.002).

CONCLUSION

In older adults, the social dimension of frailty is associated with quality of life and psychological state. Physical frailty and sociodemographic characteristics may affect the development of social frailty.

A phrase-based questionnaire-answering approach for automatic initial frailty assessment based on clinical notes

Frailty stands out as a particularly challenging multidimensional geriatric syndrome in the elderly population, often resulting in diminished quality of life and heightened mortality risk. Negative consequences encompass a heightened likelihood of hospitalization and institutionalization, as well as suboptimal post-hospitalization outcomes and elevated mortality rates. Using a questionnaire-based approach for assessing frailty has been shown to be an effective method for early diagnosis of frailty. Nonetheless, the majority of current frailty assessment tools necessitate in-person consultations. This poses a significant challenge for elderly patients residing in rural areas, who often encounter difficulties in accessing healthcare compared to their urban or suburban counterparts. Additionally, elderly patients face an elevated risk of contracting diseases as a result of frequent hospital visits, given that many of them are immunocompromised. An automated initial frailty assessment approach can help mitigate the challenges mentioned above and conserve clinical resources by circumventing the need for extensive manual assessments. The primary aim of this paper is to introduce an automatic initial frailty assessment method. This method efficiently identifies individuals who may necessitate further frailty evaluation by automatically extracting relevant information from a patient's clinical notes and using it to complete the Tillburg Frailty Indicator (TFI) questionnaire. The introduced phrase-based query expansion technique is designed to identify the most pertinent phrases related to the frailty assessment questionnaire using Unified Medical Language System (UMLS) ontology and incorporates information from clinical notes to enhance its accuracy. Additionally, a method for retrieving pertinent clinical notes to automatically facilitate the frailty assessment process based on the identified phrases was also proposed. The proposed approaches are evaluated using a dataset containing a collection of clinical notes from elderly patients, assessing their effectiveness in terms of automating frailty assessment and question-answering tasks. This research underscores the significance of incorporating phrases as features in the automated frailty assessment process using clinical notes. The research empowers clinicians to conduct automatic frailty assessments utilizing medical data, thereby reducing the need for frequent hospital visits and in-patient consultations. This becomes particularly valuable during unusual or unexpected situations, such as the COVID-19 pandemic, where minimizing in-person interactions is crucial.

The relationship between frailty and social vulnerability: a systematic review

Both frailty (reduced physiological reserve) and social vulnerability (scarcity of adequate social connections, support, or interaction) become more common as people age and are associated with adverse consequences. Analyses of the relationships between these constructs can be limited by the wide range of measures used to assess them. In this systematic review, we synthesised 130 observational studies assessing the association between frailty and social vulnerability, the bidirectional longitudinal relationships between constructs, and their joint associations with adverse health outcomes. Frailty, across assessment type, was associated with increased loneliness and social isolation, perceived inadequacy of social support, and reduced social participation. Each of these social vulnerability components was also associated with more rapid progression of frailty and lower odds of improvement compared with the absence of that social vulnerability component (eg, more rapid frailty progression in people with social isolation vs those who were not socially isolated). Combinations of frailty and social vulnerability were associated with increased mortality, decline in physical function, and cognitive impairment. Clinical and public health measures targeting frailty or social vulnerability should, therefore, account for both frailty and social vulnerability.

Correlates of frailty in older female cancer survivors

INTRODUCTION

Cancer survivors are at risk of frailty because of cancer and its treatment. Understanding the factors that increase the risk of frailty is an important aspect of cancer care for the development of interventions to prevent or manage frailty, thus improving cancer survival and overall quality of life of cancer survivors. This study aimed to identify demographic, clinical, and psychosocial correlates of frailty in older, female cancer survivors.

MATERIALS AND METHODS

This is a sub-study focusing on the exploratory aim of a larger cross-sectional study (NURS-IIR-IUSCC-0748). A total of 213 female cancer survivors aged 59-87 years old were included from the parent study in the current analysis. Frailty, the primary outcome, was measured using the Tilburg Frailty Indicator scale. The independent variables were age, relationship status, clinical stage of cancer, treatment type, comorbidity, depression, affect, optimism, stress, and social support. Stepwise linear regression modeling identified the independent variables that were significantly associated with frailty.

RESULTS

The final regression model revealed that high patient-reported stress and depression, comorbidity, not being married or living with a partner, and low positive affect were significantly associated with worsening frailty in this population.

DISCUSSION

Understanding the context of frailty is important for the design of interventions that target factors known to be associated with frailty in older cancer survivors. Further validation with a larger and a more diverse sample from a broad spectrum of sociodemographic and clinical population would fully account for the multiple independent variables influencing frailty in cancer survivors.

Associations of individual chronic diseases and multimorbidity with multidimensional frailty

OBJECTIVE

To examine the associations between individual chronic diseases and multidimensional frailty comprising physical, psychological, and social frailty.

METHODS

Dutch individuals (N = 47,768) age ≥ 65 years completed a general health questionnaire sent by the Public Health Services (response rate of 58.5 %), including data concerning self-reported chronic diseases, multidimensional frailty, and sociodemographic characteristics. Multidimensional frailty was assessed with the Tilburg Frailty Indicator (TFI). Total frailty and each frailty domain were regressed onto background characteristics and the six most prevalent chronic diseases: diabetes mellitus, cancer, hypertension, arthrosis, urinary incontinence, and severe back disorder. Multimorbidity was defined as the presence of combinations of these six diseases.

RESULTS

The six chronic diseases had medium and strong associations with total ((f2 = 0.122) and physical frailty (f2 = 0.170), respectively, and weak associations with psychological (f2 = 0.023) and social frailty (f2 = 0.008). The effects of the six diseases on the frailty variables differed strongly across diseases, with urinary incontinence and severe back disorder impairing frailty most. No synergetic effects were found; the effects of a disease on frailty did not get noteworthy stronger in the presence of another disease.

CONCLUSIONS

Chronic diseases, in particular urinary incontinence and severe back disorder, were associated with frailty. We thus recommend assigning different weights to individual chronic diseases in a measure of multimorbidity that aims to examine effects of multimorbidity on multidimensional frailty. Because there were no synergetic effects of chronic diseases, the measure does not need to include interactions between diseases.

Perspectives on the representation of frailty in the electronic frailty index

BACKGROUND

Frailty is a state of increased vulnerability from physical, social, and cognitive factors resulting in greater risk of negative health-related outcomes and increased healthcare expenditure. A 36-factor electronic frailty index (eFI) developed in the United Kingdom calculates frailty scores using electronic medical record data. There is currently no standardization of frailty screening in Canadian primary care. In order to implement the eFI in a Canadian context, adaptation of the tool is necessary because frailty is represented by different clinical terminologies in the UK and Canada. In considering the promise of implementing an eFI in British Columbia, Canada, we first looked at the content validation of the 36-factor eFI. Our research question was: Does the eFI represent frailty from the perspectives of primary care clinicians and older adults in British Columbia?

METHODS

A modified Delphi using three rounds of questionnaires with a panel of 23 experts (five family physicians, five nurse practitioners, five nurses, four allied health professionals, four older adults) reviewed and provided feedback on the 36-factor eFI. These professional groups were chosen because they closely work as interprofessional teams within primary care settings with older adults. Older adults provide real life context and experiences. Questionnaires involved rating the importance of each frailty factor on a 0-10 scale and providing rationale for ratings. Panelists were also given the opportunity to suggest additional factors that ought to be included in the screening tool. Suggested factors were similarly rated in two Delphi rounds.

RESULTS

Thirty-three of the 36 eFI factors achieved consensus (> 80% of panelists provided a rating of ≥ 8). Factors that did not achieve consensus were hypertension, thyroid disorder and peptic ulcer. These factors were perceived as easily treatable or manageable and/or not considered reflective of frailty on their own. Additional factors suggested by panelists that achieved consensus included: cancer, challenges to healthcare access, chronic pain, communication challenges, fecal incontinence, food insecurity, liver failure/cirrhosis, mental health challenges, medication noncompliance, poverty/financial difficulties, race/ethnic disparity, sedentary/low activity levels, and substance use/misuse. There was a 100% retention rate in each of the three Delphi rounds.

CONCLUSIONS AND NEXT STEPS

Three key findings emerged from this study: the conceptualization of frailty varied across participants, identification of frailty in community/primary care remains challenging, and social determinants of health affect clinicians' assessments and perceptions of frailty status. This study will inform the next phase of a broader mixed-method sequential study to build a frailty screening tool that could ultimately become a standard of practice for frailty screening in Canadian primary care. Early detection of frailty can help tailor decision making, frame discussions about goals of care, prevent advancement on the frailty trajectory, and ultimately decrease health expenditures, leading to improved patient and system level outcomes.

External Validation of Models for Predicting Disability in Community-Dwelling Older People in the Netherlands: A Comparative Study

Background

Advanced statistical modeling techniques may help predict health outcomes. However, it is not the case that these modeling techniques always outperform traditional techniques such as regression techniques. In this study, external validation was carried out for five modeling strategies for the prediction of the disability of community-dwelling older people in the Netherlands.

Methods

We analyzed data from five studies consisting of community-dwelling older people in the Netherlands. For the prediction of the total disability score as measured with the Groningen Activity Restriction Scale (GARS), we used fourteen predictors as measured with the Tilburg Frailty Indicator (TFI). Both the TFI and the GARS are self-report questionnaires. For the modeling, five statistical modeling techniques were evaluated: general linear model (GLM), support vector machine (SVM), neural net (NN), recursive partitioning (RP), and random forest (RF). Each model was developed on one of the five data sets and then applied to each of the four remaining data sets. We assessed the performance of the models with calibration characteristics, the correlation coefficient, and the root of the mean squared error.

Results

The models GLM, SVM, RP, and RF showed satisfactory performance characteristics when validated on the validation data sets. All models showed poor performance characteristics for the deviating data set both for development and validation due to the deviating baseline characteristics compared to those of the other data sets.

Conclusion

The performance of four models (GLM, SVM, RP, RF) on the development data sets was satisfactory. This was also the case for the validation data sets, except when these models were developed on the deviating data set. The NN models showed a much worse performance on the validation data sets than on the development data sets.

Effects of oral function and depressive tendencies on nutritional status in older adults requiring support or low-level care: An investigation using path analysis

AIM

This study investigated the effects of differences in oral function and depressive tendencies on nutritional status in older adults requiring support or low-level care.

METHODS

In 106 older adult participants residing in nursing/care homes or participating in community-level preventive care activities, the Mini Nutritional Assessment-Short Form (MNA®-SF) for nutritional status and oral diadochokinesis (ODK), tongue pressure, and repetitive saliva swallowing test (RSST) for oral function, 15-item Geriatric Depression Scale (GDS), Diet-Related Quality of Life Scale-Short Form (DRQOL-SF), and Functional Independence Measure (FIM) were administered. Basic information, including cognitive function, was evaluated. Hierarchical MNA (dependent variable)-based multiple regression analysis was performed, followed by path analysis using factors with significant associations with MNA scores.

RESULTS

RSST, ODK, tongue pressure, FIM, and DRQOL were positively correlated with MNA scores and GDS was negatively correlated. Hierarchical multiple regression demonstrated associations with tongue pressure, GDS, FIM, DRQOL scores, and gender. Path analysis confirmed significant paths from tongue pressure to MNA, tongue pressure to FIM, and FIM to MNA (P < .001). Significant paths were confirmed from GDS to MNA (P < .01), from DRQOL to MNA (P < .05), and from gender to MNA (P < .01).

CONCLUSIONS

Tongue pressure, GDS, FIM, DRQOL scores, and gender were identified as factors that directly affect MNA. Tongue pressure showed the greatest effect and indirectly affected MNA via FIM. These findings emphasize the importance of early detection of low nutritional risk for preventing depression and oral function deterioration, and of evaluation of dietary satisfaction and improvement of quality of life in diets.

Prevalence of social frailty and its associated factors in the older Chinese population: a national cross-sectional study

BACKGROUND

Social frailty has not been comprehensively studied in China. Our objective is to investigate the prevalence of social frailty among the older population in China, as well as identify relevant factors and urban-rural differences.

METHODS

We obtained data from the Fourth Sample Survey of the Aged Population in Urban and Rural China (SSAPUR) database. The study employed a multistage, stratified, cluster-sampling method, recruiting a total of 224,142 adults aged 60 years or older. Participants were interviewed to gather demographic data and information on family, health and medical conditions, health care service status, living environment conditions, social participation, protected rights status, spiritual and cultural life, and health. Social frailty was assessed using the HALFE Social Frailty Index. A score of three or above indicated social frailty.

RESULTS

We analyzed a total of 222,179 cases, and the overall prevalence of social frailty was found to be 15.2%. The highest prevalence was observed among participants aged 75-79 years (18.0%). The prevalence of social frailty was higher in rural older populations compared to urban older populations (19.9% in rural vs. 10.9% in urban, P < 0.0001). In urban areas, women had a higher prevalence than men (11.7% in women vs. 9.9% in men, P < 0.0001), while in rural areas, men had a higher prevalence than women (20.6% in men vs. 19.2% in women, P < 0.0001). Multivariate regression analysis revealed that living in a rural/urban environment (OR 1.789, 95% CI 1.742-1.837), absence of a spouse/spousal presence (OR 4.874, 95% CI 4.743-5.009), self-assessed unhealthy/health status (OR 1.696, 95% CI 1.633-1.761), and housing dissatisfaction/satisfaction (OR 2.303, 95% CI 2.233-2.376) were all significantly associated with social frailty.

CONCLUSIONS

Using the HALFE social frailty index, we found a prevalence of 15.2% among older people in China, with the highest prevalence observed in the 75-79 age group. Social frailty was more prevalent in rural areas than in urban areas. Various factors, including spousal presence, housing satisfaction, health status, and urban-rural residential differences, were significantly associated with social frailty. These findings highlight the modifiable and non-modifiable factors that contribute to social frailty among older individuals in China.

Exploring the concept of psychological frailty in older adults: a systematic scoping review

OBJECTIVES

We reviewed the existing definitions of psychological frailty and provided a comprehensive overview of the concept and associated measurements.

STUDY DESIGN AND SETTING

We followed the PRISMA guidelines for scoping reviews and the Joanna Briggs Institute Manual for Evidence Synthesis. The eligibility criteria for including studies were developed based on the participants-concept-context framework. We searched the Cumulative Index to Nursing and Allied Health Literature, Scopus, PubMed, Web of Science and PsycINFO databases, and other sources for relevant studies published between January 2003 and March 2022.

RESULTS

The final scoping review included 58 studies. Of these, 40 defined psychological frailty, seven provided a novel definition, and 11 focused on the components defining psychological frailty. We proposed four groups of components to better characterize psychological frailty: mood, cognitive, other mental health, and fatigue-related problems. We identified 28 measuring tools across studies, and the Tilburg Frailty Indicator was the most frequently used (46.6%).

CONCLUSION

Psychological frailty is a complex concept whose definition seems to lack consensus. It could include both psychological and physical features. Depression and anxiety are commonly used to define it. This scoping review outlined future research directions for refining the concept of psychological frailty.

Analysis of the status of social frailty in Chinese older adults with cardiovascular and cerebrovascular diseases: a national cross-sectional study

Background

Social frailty is one type of frailty. Physical frailty with cardiovascular and cerebrovascular diseases (CCVD) have been studied a lot, but less research on social frailty.

Objectives

To study the prevalence, related risk factors and regional differences of social frailty with CCVD in Chinese older adults.

Methods

SSAPUR was a national cross-sectional survey. Participants aged 60 years or older were recruited in August 2015. Demographic data and information regarding family, health and medical conditions, living environment conditions, social participation, spiritual and cultural life, and health condition were obtained. Social frailty was assessed in five areas (HALFE Social Frailty Index) including inability to help others, limited social participation, loneliness, financial difficulty, and living alone. The prevalence of CCVD with social frailty, related risk factors and regional differences in CCVD with social frailty were studied.

Results

A total of 222,179 participants were enrolled. 28.4% of them had CCVD history. The prevalence of social frailty in the CCVD group was 16.03%. In CCVD participants, compared with the group without social frailty, there were significant differences in gender, age, urban-rural distribution, ethnicity, marital status, and education levels in the social frailty group. Significant differences were also found in physical exercise participation, health status, cataract, hypertension, diabetes mellitus, hospitalization within 1 year, self-assessed health status, crutch or wheelchair usage, urinary and fecal incontinence, need for care from others, fall history, housing satisfaction, and self-assessed happiness in the social frailty group. Women with CCVD had a higher prevalence of social frailty than men. By age in CCVD with social frailty, the highest prevalence was found in participants 75-79 years old. The prevalence of CCVD was significant difference between social frailty in urban and rural group. The prevalence of social frailty with CCVD was significantly different in different regions. The highest prevalence was 20.4% in southwest area, and the lowest prevalence was 12.5% in northeast with area.

Conclusion

The prevalence of social frailty among the CCVD older adults is high. Factors such as gender, age, region, urban-rural residence, and the state of the disease may be associated with social frailty.

The Longitudinal Association Between Frailty, Cognition, and Quality of Life in Older Europeans

OBJECTIVES

Evidence on the association between frailty and quality of life (QoL) is mostly limited to cross-sectional studies. Thus, the temporal order and potential mechanisms of this association are largely unknown. Our study examines both the directionality of this association and the role of cognition in this association in longitudinal data.

METHODS

Cross-lagged panel models were employed to examine the temporal relationship between frailty and QoL, as well as cognition's role among 19,649 older adults in Europe. Frailty, QoL, and cognition were assessed using the health deficit index, CASP-12, and 3 standard cognitive tests, respectively.

RESULTS

We observed a bidirectional association between frailty and QoL and their dynamics. High initial levels of frailty predicted poorer QoL later and vice versa (β = -0.151 and -0.052, p < .001). The early change in frailty predicted the late change in QoL, and vice versa (β = -0.093 and -0.061, p < .001). Frailty or its early change drives this interrelationship. Cognition at Wave 5 partially mediated frailty's effect at Wave 4 on QoL at Wave 6 (indirect effect: β = -0.005, 95% confidence interval = -0.006, -0.004).

DISCUSSION

Our findings supported that early prevention of frailty and its risk factors may have more influential protective effects on later physical and mental health, as well as the need for ongoing screening for mental health in aging population. Also, the maintenance of good cognitive performance may help interrupt this possible vicious cycle linking frailty and QoL decline.

Frailty Viewed From a Nursing Perspective

Introduction

More and more researchers are convinced that frailty should refer not only to physical limitations but also to psychological and social limitations that older people may have. Such a broad, or multidimensional, definition of frailty fits better with nursing, in which a holistic view of human beings, and thus their total functioning, is the starting point.

Purpose

In this article, which should be considered a Practice Update, we aim at emphasizing the importance of the inclusion of other domains of human functioning in the definition and measurement of frailty. In addition, we provide a description of how district nurses view frailty in older people. Finally, we present interventions that nurses can perform to prevent or delay frailty or its adverse outcomes. We present, in particular, results from studies in which the Tilburg Frailty Indicator, a multidimensional frailty instrument, was used.

Conclusion

The importance of a multidimensional assessment of frailty was demonstrated by usually satisfactory results concerning adverse outcomes of mortality, disability, an increase in healthcare utilization, and lower quality of life. Not many studies have been performed on nurses' opinions about frailty. Starting from a multidimensional definition of frailty, encompassing physical, psychological, and social domains, nurses are able to assess and diagnose frailty and conduct a variety of interventions to prevent or reduce frailty and its adverse effects. Because nurses come into frequent contact with frail older people, we recommend future studies on opinions of nurses about frailty (e.g., screening, prevention, and addressing).

Balance Confidence and Balance Performance, But Not Fall History Are Associated With Quality of Life in Community-Dwelling Older Adults: A Cross Sectional Study

BACKGROUND AND PURPOSE

Fear of falling (FoF) is highly prevalent in community-dwelling older adults and is associated with low health-related quality of life (QoL). Low QoL is associated with increased health care utilization and is a predictor of future falls, but few studies have examined the relationship between high-level balance and dynamic gait performance and QoL in community-dwelling older adults. The purpose of this cross-sectional study was to determine whether there is a relationship between FoF avoidance behaviors, balance confidence, performance on measures of high-level mobility, and QoL in community-dwelling older adults. The secondary purpose was to determine whether older adults who fall have a different QoL than older adults who have not fallen in the past year.

METHODS

Eighty-nine community-dwelling older adults (76.33 ± 6.84 years, 54 female, 34 fallers) completed the World Health Organization Quality of Life-BREF (WHOQOL-BREF), Activities-specific Balance Confidence Scale (ABC), Fear of Falling Avoidance Behavior Questionnaire (FFABQ), Functional Gait Assessment (FGA), and Community Balance and Mobility Scale (CB&M). Correlation and multiple regression analyses were calculated to determine the relationship between the outcome measures and domains on the WHOQOL-BREF.

RESULTS AND DISCUSSION

Significant correlations were observed between the WHOQOL-BREF physical health domain and the ABC, FFABQ, FGA, and CB&M (ρ= 0.524, -0.509, 0.348, and r = 0.423, respectively), the WHOQOL-BREF psychological domain and the ABC (ρ= 0.284) and FFABQ (ρ=-0.384), and the WHOQOL-BREF environment domain and the ABC (ρ= 0.343) and FFABQ (ρ=-0.406). No correlations were found between WHOQOL-BREF domain scores and a history of falls.

CONCLUSIONS

Performance-based outcome measures that measure high-level mobility such as the CB&M and FGA, and patient-reported outcome measures for balance confidence and FoF avoidance behavior such as the ABC and FFABQ, are correlated with the physical health QoL domain on the WHOQOL-BREF. The ABC and FFABQ are correlated with psychological and environment QoL. Fall history was not correlated with QoL. Interventions to decrease FoF or improve high-level mobility may improve QoL in community-dwelling older adults.

The Impact of Frailty and Geriatric Syndromes on the Quality of Life of Older Adults Receiving Home-Based Healthcare: A Cross-Sectional Survey

Purpose: To identify the effect of frailty and geriatric syndromes on the quality of life (QoL), of older adults receiving home care, taking into consideration their socioeconomic and homebound status, including multi-comorbidities. Patients and Methods: This cross-sectional study enrolled elders aged (≥65) years old, registered members of “Help at Home” programs in the Reference Region of Crete, from March to May 2019. Participants were screened using the WHOQOL-BREF for Quality of Life, geriatric syndromes such as frailty using the SHARE-Frailty Index (SHARE-Fi), the Montreal Cognitive Assessment (MoCA), for cognitive function and the Geriatric Depression Scale (GDS), for the assessment of depression. Results: The mean age of the 301 participants was 78.45 (±7.87) years old. The prevalence of frailty was 38.5%, severe depression 13.6%, cognitive dysfunction 87.8% and severe comorbidity 70.6%. Intriguingly, none of the participants (0%) was identified as free of comorbidity (CCI = 0−1). The overall QoL (ranging from 4−20) of the study participants was 13.24 (±4.09). The bivariate analysis showed that overall QoL significantly differed among older adults with frailty (15.91 vs. 11.56, p < 0.001), cognitive dysfunction (15.42 vs. 12.90, p < 0.001), depression (14.90 vs. 9.31, p < 0.001), and disability in Activities of Daily Living (13.67 vs. 10.67, p = 0.002), compared to non-frail, normal cognition and depression, and independent elders, respectively. Multiple linear regression models revealed that frail and depressive elders reported significantly lower QoL (β = −2.65, p < 0.001 and (β = −5.71, p < 0.001), compared to non-frail and older adults with no depressive symptoms, respectively, despite the fact that this association was not significant for older adults with dementia (β = −2.25, p = 0.159), even after adjusting for potential confounding effects (age, gender, comorbidity, homebound status, etc.). Conclusion: frailty and geriatric syndromes including comorbidities are important risk factors for “poor” QoL among older adults receiving home-based healthcare.

Validation of the WHOQOL-BREF Quality of Life Questionnaire in an Urban Sample of Older Adults in a Neighbourhood in Zaragoza (Spain)

BACKGROUND

Nowadays, the increase in life expectancy needs to be matched by an increase in the wellbeing of older adults. A starting point is the definition of what is understood by health-related quality of life and its measurement in different contexts. Our research translates these international priorities to a local base.

OBJECTIVE

To evaluate the psychometric characteristics of the World Health Organization Quality of Life Questionnaire (WHOQOL-BREF) in a sample of older adults from a Spanish urban community (Casablanca).

METHODS

In collaboration with the local health centre, we designed and implemented the health neighbourhood survey. Interviews took place at subjects' homes with 212 women and 135 men over the age of 60, who were residents in Casablanca. With the results, we evaluated the psychometric characteristics of WHOQOL-BREF and tested its reliability and validation.

RESULTS

The instrument has a high internal consistency with a Cronbach's Alpha of 0.9. The items with higher correlation value were: ability to carry out activities in daily life, enough energy for daily life. The scale contributions of Physical Health dimension (0.809) and Psychological Health dimension (0.722) were notable.

CONCLUSIONS

As with other studies, the instrument proved to be an integral evaluation of the diverse domains that condition the wellbeing of older adults.

Impact of quality of life on future frailty status of rural Japanese community-dwelling older adults

OBJECTIVES

We aimed to clarify the factors that contribute to the improvement or progression of frailty in rural Japanese community-dwelling older adults.

METHODS

Of the 840 participants in the cohort study of independent older adults aged 65 years and older living in the Tamba-Sasayama area of Hyogo Prefecture (FESTA study) from September 2016 to December 2017, 551 participated in the 2-year follow-up survey from September 2018 to December 2019.

METHODS

We evaluated clinical background, physical and cognitive function, total physical activity, daily protein intake, quality of life (QOL) using the WHOQOL-BREF (WHOQOL-26), and frailty status diagnosed using the Japanese version of the Cardiovascular Health Study. We compared the frailty status at the initial and follow-up examinations and classified the participants into three groups: improvement, unchanged, and worsening. Each parameter was compared among the three groups and the factors contributing to the improvement or worsening of frailty status were analyzed using a modified Poisson regression analysis.

RESULTS

The median age at the first survey was 72 years (range: 68-76); 190 men and 361 women were enrolled. The improvement group consisted of individuals with a change in status from frail to prefrail/robust and from prefrail to robust (n = 114); the worsening group consisted of individuals with a change in status from robust to prefrail/frail and from prefrail to frail (n = 92). The physical domain of QOL was significantly associated with an improvement in frailty status independent of the frailty status at baseline. Contrastingly, any domains of QOL were not significantly associated with a worsening frailty status.

CONCLUSIONS

This study demonstrated for the first time that QOL has a significant impact on the future improvement and progression of frailty status and that QOL conditions and frailty status affect older adults bidirectionally.

The Tilburg Frailty Indicator: A psychometric systematic review

BACKGROUND

The Tilburg Frailty Indicator (TFI) is one of the most prominent multidimensional frailty assessment instruments. This review aimed to critically appraise and summarise its measurement properties.

METHODS

Reports were eligible if they included results of studies aimed at developing the TFI or evaluating its measurement properties. We performed a literature search in MEDLINE, CINAHL, and PsycINFO databases from their inception until December 8, 2021. We also searched grey literature databases. We assessed the methodological quality of the included studies using the "COSMIN Risk of Bias". The measurement properties were evaluated using specific criteria. We graded the quality of the evidence using a GRADE approach.

RESULTS

Sixty-three studies were included. We found moderate sufficient evidence for TFI content validity, although it is still insufficient for the comprehensiveness of its items. TFI construct validity was based on sufficient evidence from two studies of its structural validity as well as multiple hypothesis-testing for construct validity studies with inconsistent results. We did not find any studies that assessed cross-cultural validity. Only one of TFI's three dimensions showed sufficient evidence for the internal consistency of its scores, and results in test-retest reliability were inconsistent. The TFI showed high sufficient concurrent validity with the comprehensive geriatric assessment. We identified several studies assessing its predictive validity for adverse frailty-related outcomes, although most of the evidence from these studies was insufficient. We did not find any studies that assessed the responsiveness of TFI scores.

CONCLUSIONS

The TFI had evidence gaps in several relevant measurement properties. Further research is needed to strengthen its usefulness as a clinical decision-making tool.

Associations between lifestyle factors and multidimensional frailty: a cross-sectional study among community-dwelling older people

BACKGROUND

Multidimensional frailty, including physical, psychological, and social components, is associated to disability, lower quality of life, increased healthcare utilization, and mortality. In order to prevent or delay frailty, more knowledge of its determinants is necessary; one of these determinants is lifestyle. The aim of this study is to determine the association between lifestyle factors smoking, alcohol use, nutrition, physical activity, and multidimensional frailty.

METHODS

This cross-sectional study was conducted in two samples comprising in total 45,336 Dutch community-dwelling individuals aged 65 years or older. These samples completed a questionnaire including questions about smoking, alcohol use, physical activity, sociodemographic factors (both samples), and nutrition (one sample). Multidimensional frailty was assessed with the Tilburg Frailty Indicator (TFI).

RESULTS

Higher alcohol consumption, physical activity, healthy nutrition, and less smoking were associated with less total, physical, psychological and social frailty after controlling for effects of other lifestyle factors and sociodemographic characteristics of the participants (age, gender, marital status, education, income). Effects of physical activity on total and physical frailty were up to considerable, whereas the effects of other lifestyle factors on frailty were small.

CONCLUSIONS

The four lifestyle factors were not only associated with physical frailty but also with psychological and social frailty. The different associations of frailty domains with lifestyle factors emphasize the importance of assessing frailty broadly and thus to pay attention to the multidimensional nature of this concept. The findings offer healthcare professionals starting points for interventions with the purpose to prevent or delay the onset of frailty, so community-dwelling older people have the possibility to aging in place accompanied by a good quality of life.

Association of Social Support With Functional Outcomes in Older Adults Who Live Alone

IMPORTANCE

Older adults who live alone are at risk for poor health outcomes. Whether social support mitigates the risk of living alone, particularly when facing a sudden change in health, has not been adequately reported.

OBJECTIVE

To assess if identifiable support buffers the vulnerability of a health shock while living alone.

DESIGN, SETTING, AND PARTICIPANTS

In this longitudinal, prospective, nationally representative cohort study from the Health and Retirement Study (enrollment March 2006 to April 2015), 4772 community-dwelling older adults 65 years or older who lived alone in the community and could complete activities of daily living (ADLs) and instrumental ADLs independently were followed up biennially through April 2018. Statistical analysis was completed from May 2020 to March 2021.

EXPOSURES

Identifiable support (ie, can the participant identify a relative/friend who could help with personal care if needed), health shock (ie, hospitalization, new diagnosis of cancer, stroke, heart attack), and interaction (multiplicative and additive) between the 2 exposures.

MAIN OUTCOMES AND MEASURES

The primary outcomes were incident ADL dependency, prolonged nursing home stay (≥30 days), and death.

RESULTS

Of 4772 older adults (median [IQR] age, 73 [68-81] years; 3398 [71%] women) who lived alone, at baseline, 1813 (38%) could not identify support, and 3013 (63%) experienced a health shock during the study. Support was associated with a lower risk of a prolonged nursing home stay at 2 years (predicted probability, 6.7% vs 5.2%; P = .002). Absent a health shock, support was not associated with a prolonged nursing home stay (predicted probability over 2 years, 1.9% vs 1.4%; P = .21). However, in the presence of a health shock, support was associated with a lower risk of a prolonged nursing home stay (predicted probability over 2 years, 14.2% vs 10.9%; P = .002). Support was not associated with incident ADL dependence or death.

CONCLUSIONS AND RELEVANCE

In this longitudinal cohort study among older adults who live alone, identifiable support was associated with a lower risk of a prolonged nursing home stay in the setting of a health shock.

The Opinions of Turkish Older Adults Related to Frailty: A Qualitative Study

Frailty is a geriatric syndrome characterized by decreased daily living activity, weight loss, weakness, and dependency caused by the cumulative decline in many physiological systems over the life span. This study examined older adults' perceptions of frailty. The study used a descriptive qualitative design. Data were collected using semistructured interviews with 14 older adults admitted to the geriatrics outpatient clinic in one Turkish institution from September to December 2019. The interviews were transcribed and analyzed using the MAXQDA data analysis software. Codes were combined into themes. The respondents were aged 74.5 ± 8.7 years. Two themes emerged from the qualitative data: (i) the conceptualization of frailty; and (ii) coping with frailty. Some of the participants self-identified as frail, a natural consequence of aging. Another group of participants emphasized the feelings of hopelessness and hopefulness in coping with frailty in their remaining lives. This study provides insights into older Turkish adults' opinions regarding frailty, including the development of frailty and its relationship with health status and daily life. This understanding may be used to detect frailty in older adults and to improve frail older adults' care interventions.

Social frailty dimensions and frailty models over time

INTRODUCTION

Social frailty is a complex concept and there is still no consensus on the criteria that best define it, nor on the role that social dimensions play in well-established frailty models.

AIM

To analyse the predictive value of social frailty dimensions on distinct frailty models.

METHOD

A non-probabilistic sample of 193 community-dwelling adults aged 65 years and over was recruited in 2016 and followed for three years. Frailty was assessed by the Tilburg Frailty Indicator, the Groningen Frailty Indicator, and the Fried Phenotype criteria. Questions about living alone, social network, social support, loneliness, and frequency of social activities engagement were used to assess social criteria. Bivariate correlations and sequential multiple hierarchical logistic regression analyses were performed.

RESULTS

At baseline, 22.2% older adults lived alone, 47.2% reported missing people around them, 21.1% reported lack of social support, 26.1% reported having reduced their participation in social activities recently and 52.2% reported loneliness. The percent of frail individuals varied across frailty measures, and social criteria showed significant correlations and increased the prediction of frailty status. Loneliness and social activities engagement were associated with frailty as assessed by the Tilburg frailty Indicator and by the Fried Phenotype criteria; the lack of social support is associated with frailty as assessed by the Groningen Frailty Indicator. Living alone and lack of social relationships did not predict frailty.

CONCLUSION

Including social dimensions in a frailty model needs a consensual theoretical basis as they have different roles in predicting frailty, varying over time and across assessment tools.

Frailty in Primary Care: Validation of the simplified Zulfiqar Frailty Scale (sZFS)

Introduction: Frailty scales are used very rarely by general practitioners as they are time consuming and are not well-adapted to current needs. Thus, we have designed with general practitioners a new scale for the early and rapid detection of frailty syndrome, called the simplified Zulfiqar Frailty Scale (sZFS). Patients and methods: This scale was tested in two general medicine practices in Normandy (France) for a total of six months and compared to the GFST tool “The Gerontopole Frailty Screening Tool”. Only patients who were over 65 years old with an ADL ≥ 4/6 were included. Results: 107 were patients included in the general medicine practice, with an average age of 74 years. The sZFS questionnaire has a shorter administration time than the GFST questionnaire (p < 0.001). Its sensitivity is of 93%, and its specificity is 58%. Its positive predictive value is 57%, and its negative predictive value is 93%. The area under the curve of the sZFS scale is 0.83 [0.76; 0.91] (IC95%). Conclusion: Our frailty screening scale is simple, relevant, and quick.

Association of Protein and Magnesium Intake with Prevalence of Prefrailty and Frailty in Community-Dwelling Older Japanese Women

We examined the association between nutrient intake and prefrailty. Data from 815 older people (63% women) who participated in a community-based health check survey (Tarumizu Study) were analyzed. Prefrailty were defined using five parameters (exhaustion, slowness, weakness, low physical activity, and weight loss). Participants with one or more components were considered to belong to the prefrailty group. Nutrition intake was estimated from a validated brief-type self-administered diet history questionnaire. Among the participants, 154 men (52%) and 278 women (54%) were found to be in a status of prefrailty. In men, there were no significant associations between nutrient intake and prefrailty. In women, carbohydrate intake was slightly higher in prefrailty group. Vitamins K, B₁, B₂, folic acid, pantothenic acid, phosphorus, potassium, calcium, magnesium, iron, zinc, and copper intake was significantly lower in the prefrailty group. Among the nutrients, magnesium was identified as a significant covariate of prefrailty using a stepwise regression method. In women adjusted ORs (95%CI, p value) for prefrailty in the first, second, third, and fourth quartiles of magnesium intake were 1.00 (reference), 0.52 (0.29-0.92, 0.024), 0.51 (0.28-0.95, 0.033), and 0.38 (0.19-0.74, 0.005), respectively, by multivariate logistic regression analysis (variates: age, body mass index, energy intake, supplement use, osteoporosis, magnesium, and protein intake). Protein intake did not related to prefrailty. Protein intake might be sufficient to prevent prefrailty in the present study. We propose magnesium to be an important micronutrient that prevents prefrailty in community-dwelling older Japanese women.

Multi-dimensional frailty and its risk factors among older residents in long-term care facilities in Shanghai, China

Objectives

The integrated model of frailty shifted the physiologically-dominated view to an integrated and multidisciplinary view of frailty and adopted an integrated and holistic approach to the complex challenges facing frail older adults and their caregivers. There is an urgent need for researchers to identify multi-faceted frailty among older adults and to explore contributors to it. We assessed the level of frailty among older residents in long-term care (LTC) facilities in Shanghai, China and explored risk factors of multiple dimensions of frailty among older residents.

Methods

It is a cross-sectional descriptive study. We interviewed 218 older residents from nine LTC facilities. We used Tilburg Frailty Indicator to assess older residents’ physiological, psychological, and social frailty. The Geriatric Depression Scale, Mini-Mental state examination, Athens Insomnia Scale, and Activity of Daily Living (ADL) Scale were used to assess their depressive symptoms, cognitive function, sleep quality and ADL abilities, respectively.

Results

Older residents have a moderate level of frailty in physiological, psychological and social domains. There is a high correlation among dimensions of frailty. Older residents’ depressive symptoms have remained positively associated with their overall and each domain of frailty. Older residents’ actual activity participation and exercise in LTC facilities are negatively associated with older residents’ overall, physiological and social frailty.

Conclusions

Frailty is a multi-dimensional concept and is prevalent among older residents in LTC facilities. It is important to take an integrated view on frailty and carry out appropriate and comprehensive interventions to prevent adverse outcomes and provide holistic care for frail older residents in LTC facilities. There is an urgent need to improve the quality and expand the number of activities offered within LTC facilities that would engage older residents in a person-centered way, despite their age, ADL abilities, frailty and functional limitations.

Assessing Frailty with the Tilburg Frailty Indicator (TFI): A Review of Reliability and Validity

Objective

The Tilburg Frailty Instrument (TFI) is an instrument for assessing frailty in community-dwelling older people. Since its development, many studies have been carried out examining the psychometric properties. The aim of this study was to provide a review of the main findings with regard to the reliability and validity of the TFI.

Methods

We conducted a literature search in the PubMed and CINAHL databases on May 30, 2020. An inclusion criterion was the use of the entire TFI, part B, referring to the 15 components. No restrictions were placed on language or year of publication.

Results

In total, 27 studies reported about the psychometric properties of the TFI. By far, most of the studies (n = 25) were focused on community-dwelling older people. Many studies showed that the internal consistency and test–retest reliability are good, which also applies for the criterion and construct validity. In many studies, adverse outcomes of interest were disability, increased health-care utilization, lower quality of life, and mortality. Regarding disability, studies predominantly show results that are excellent, with an area under the curve (AUC) >0.80. In addition, the TFI showed good associations with lower quality of life and the findings concerning mortality were at least acceptable. However, the association of the TFI with some indicators of health-care utilization can be indicated as poor (eg, visits to a general practitioner, hospitalization).

Conclusion

Since population aging is occurring all over the world, it is important that the TFI is available and well known that it is a user-friendly instrument for assessing frailty and its psychometric properties being qualified as good. The findings of this assessment can support health-care professionals in selecting interventions to reduce frailty and delay its adverse outcomes, such as disability and lower quality of life.

Creation of a New Frailty Scale in Primary Care: The Zulfiqar Frailty Scale (ZFS)

Introduction: Very few frailty scales are used by general practitioners as they are time consuming and cumbersome. We designed a new scale for the rapid detection of frailty. Methods: We developed a frailty screening tool for use in primary care, referred to as the Zulfiqar Frailty Scale (ZFS). This scale was tested in a general practitioner’s office for six months in Plancoët, France. Only patients over 75 years of age with Activities of Daily Living (ADL) ≥4 were included. The objective of this research was to validate the scale, evaluate its performance, and compare this screening tool with other scales such as the Fried Scale, the Gerontopole Frailty Screening Tool (GFST), the modified Short Emergency Geriatric Assessment (mSEGA) Grid A, and the Comprehensive Geriatric Assessment (CGA). Results: A total of 102 patients were included, with a mean age of 82.65 ± 4.79; 55 were women and 47 were men. The percentage of frail subjects was 63.7% in our scale, 67.7% in the mSEGA grid A, 75.5% in the GFST, and 60.8% for the Fried criteria. After a comprehensive geriatric assessment, frailty syndrome was found in 57 patients (55.9%). In general, both scales showed solid performance, and differences between them in the sample were minimal. As the CGA showed a prevalence of frailty of 55.9%, a similar prevalence threshold for the ZFS (i.e., 64% at the threshold ≥3 could be assessed). The completion time for our scale was less than two minutes, and staff required no training beforehand. Its sensitivity was 83.9%, and its specificity was 67.5%. Its positive predictive value was 80%, and its negative predictive value was 73%. The Pearson correlations between the geriatric scores were all strong and roughly equivalent to each other. Conclusions: Our frailty screening scale is simple, relevant, and rapid (taking less than two minutes).

Demographic, health, and economic transitions and the future care burden

The COVID-19 pandemic has caused millions of infections and deaths worldwide, forced schools to suspend classes, workers to work from home, many to lose their livelihoods, and countless businesses to close. Throughout this crisis, families have had to protect, comfort and care for their children, their elderly and other members. While the pandemic has greatly intensified family care responsibilities for families, unpaid care work has been a primary activity of families even in normal times. This paper estimates the future global need for caregiving, and the burden of that need that typically falls on families, especially women. It takes into account projected demographic shifts, health transitions, and economic changes in order to obtain an aggregate picture of the care need relative to the potential supply of caregiving in low-, middle- and high-income countries. This extensive margin of the future care burden, however, does not capture the weight of that burden unless the quantity and quality of care time per caregiver are taken into account. Adjusting for care time given per caregiver, the paper incorporates data from time-use surveys, illustrating this intensive margin of the care burden in three countries that have very different family and economic contexts-Ghana, Mongolia, and South Korea. Time-use surveys typically do not provide time data for paid care services, so the estimates depend only on the time intensity of family care. With this caveat, the paper estimates that the care need in 2030 would require the equivalent of one-fifth to two-fifths of the paid labor force, assuming 40 weekly workhours. Using the projected 2030 mean wage for care and social service workers to estimate the hypothetical wage bill for these unpaid caregivers if they were paid, we obtain a value equivalent to 16 to 32 percent of GDP in the three countries.

The Development of Multidimensional Frailty Over Seven Years A longitudinal study among Dutch community-dwelling older people using the Tilburg Frailty Indicator

PURPOSE

To examine the development of multidimensional frailty, including physical, psychological and social components, over a period of seven years. To determine the effects of sociodemographic factors (gender, age, marital status, education, income) on the development of frailty.

METHODS

This longitudinal study was conducted in sample of 479 community-dwelling people aged ≥ 75 years living in the municipality of Roosendaal, the Netherlands. The Tilburg Frailty Indicator (TFI), a self-report questionnaire, was used to collect data about frailty. Frailty was assessed annually.

RESULTS

Frailty increased significantly over seven years among the people who completed the entire TFI all years (n = 121), the average score was 3.75 (SD 2.80) at baseline and 5.05 (SD 3.18) after seven years. Regarding frailty transitions, most participants remained unchanged from their baseline status. The transition from non-frail to frail was present in 8.3% to 12.6% of the participants and 5.1% to 10.7% made a transition from frail to non-frail. Gender (woman), age (≥80 years), marital status (not married/cohabiting), high level of education, and incomes from €601-€1800 were significantly associated with a higher frailty score.

CONCLUSION

This study showed that multidimensional frailty, assessed with the TFI, increased among Dutch community-dwelling people aged ≥75 years using a follow-up of seven years. Gender, age, marital status, education, and income were associated with frailty transitions. These findings provide healthcare professionals clues to identify people at increased risk of frailty, and target interventions which aim to prevent or delay frailty and its adverse outcomes, such as disability and mortality.

Social factors associated with reversing frailty progression in community-dwelling late-stage elderly people: An observational study

Frailty is considered to be a complex concept based mainly on physical vulnerability, but also vulnerabilities in mental/psychological and social aspects. Frailty can be reversible with appropriate intervention; however, factors that are important in recovering from frailty have not been clarified. The aim of the present study was to identify factors that help an individual reverse frailty progression and characteristics of individuals that have recovered from frailty. Community-dwelling people aged ≥75 years who responded to the Kihon Checklist (KCL) were enrolled in the study. The KCL consists of 25 yes/no questions in 7 areas: daily-life related activities, motor functions, nutritional status, oral functions, homebound, cognitive functions, and depressed mood. The number of social activities, degree of trust in the community, degree of interaction with neighbors, and subjective age were also evaluated. Frailty was assessed based on the number of checked items: 0–3 for robust, 4–7 for pre-frailty, and ≥8 for frailty. A total of 5050 participants were included for statistical analysis. At the time of the baseline survey in 2016, 18.7% (n = 942) of respondents had frailty, and the follow-up survey showed that the recovery rate from frailty within 2 years (median 24 months) was 31.8% (n = 300). Multiple logistic regression analysis showed that exercise-based social participation (odds ratio [OR] 2.0, 95% confidence interval [CI] 1.2–3.4; P<0.01) and self-rated health (OR 1.2, CI 1.0–1.5; P = 0.02) were related to reversing frailty progression. Principal component analysis indicated that the main factors constituting the first principal component (contribution rate, 18.3%) included items related to social capital, such as interaction with neighbors, trust in the community, and number of social participation activities. Our results demonstrate that exercise-based social participation and high self-rated health have associations with reversing frailty progression. Individuals that recovered from frailty are characterized by high individual-level social capital components (i.e., trust in community, interaction with neighbors, and social participation).

The prediction of mortality by quality of life assessed with the WHOQOL-BREF: a longitudinal analysis at the domain and item levels using a seven-year follow-up period

PURPOSE

To determine the predictive value of quality of life for mortality at the domain and item levels.

METHODS

This longitudinal study was carried out in a sample of 479 Dutch people aged 75 years or older living independently, using a follow-up of 7 years. Participants completed a self-report questionnaire. Quality of life was assessed with the WHOQOL-BREF, including four domains: physical health, psychological, social relationships, and environment. The municipality of Roosendaal (a town in the Netherlands) indicated the dates of death of the individuals.

RESULTS

Based on mean, all quality of life domains predicted mortality adjusted for gender, age, marital status, education, and income. The hazard ratios ranged from 0.811 (psychological) to 0.933 (social relationships). The areas under the curve (AUCs) of the four domains were 0.730 (physical health), 0.723 (psychological), 0.693 (social relationships), and 0.700 (environment). In all quality of life domains, at least one item predicted mortality (adjusted).

CONCLUSION

Our study showed that all four quality of life domains belonging to the WHOQOL-BREF predict mortality in a sample of Dutch community-dwelling older people using a follow-up period of 7 years. Two AUCs were above threshold (psychological, physical health). The findings offer health care and welfare professionals evidence for conducting interventions to reduce the risk of premature death.

Self-reported hearing handicap in adults aged 55 to 81 years is modulated by hearing abilities, frailty, mental health, and willingness to use hearing aids

OBJECTIVE

The aim of this study was to predict outcomes of the HHI questionnaire (Hearing Handicap Inventory) using individual variables beyond pure-tone hearing thresholds.

DESIGN

An extensive health-related test battery was applied including a general anamnesis, questionnaires, audiological measures, examination of visual acuity, balance, and cognition, as well as tactile- and motor skills. Based on the self-assessment of health variables and different sensory and cognitive performance measures, a frailty index was calculated to describe the health status of the participants. A stepwise linear regression analysis was conducted to predict HHI scores.

STUDY SAMPLE

A mixed sample (N = 212) of 55- to 81-year-old, participants with different hearing and aiding status completed the test battery.

RESULTS

The regression analysis showed statistically significant contributions of pure-tone hearing thresholds, speech recognition in noise, age, frailty, mental health, and the willingness to use hearing aids on HHIE outcomes.

CONCLUSIONS

Self-reported hearing handicap assessed with the HHI questionnaire reflects various individual variables additionally to pure-tone hearing loss and speech recognition in noise. It is necessary to be aware of the influences of age and health-related variables on HHI scores when using it in research as well as in clinical settings.

Association between physical, psychological and social frailty and health-related quality of life among older people

BACKGROUND

Studies on the association between frailty and health-related quality of life (HRQoL) are scarce and show contradictory results. This study aimed to evaluate the association between physical, psychological and social frailty and HRQoL among community-dwelling older people.

METHODS

A cross-sectional study was performed with baseline data collected in 2015 from the Urban Health Centers Europe (UHCE) project in five European countries, the United Kingdom, Greece, Croatia, The Netherlands and Spain. A total of 2325 participants were included in the baseline measurements of the Urban Health Centers Europe project; 2167 participants (mean age = 79.7; SD=5.6) were included in the analyses after excluding participants with missing data. The Tilburg Frailty Indicator measured overall frailty as well as physical, psychological and social frailty. The 12-Item Short-Form Health Survey was used to measured physical and mental HRQoL.

RESULTS

Regarding physical HRQoL, a large difference (d=1.29) between physically and not physically frail participants was observed. Regarding mental HRQoL, a large difference (d=1.20) between psychologically and not psychologically frail participants was observed. In the full model with all three domains of frailty and the covariates to explain physical HRQoL, physical (P <0.001) and social frailty (P <0.001) remained significant. In the full model to explain mental HRQoL, all three domains of frailty remained significant (P <0.001).

CONCLUSION

Physical frailty had the strongest association with physical HRQoL, and psychological frailty had the strongest association with mental HRQoL. The associations between social frailty and both physical and mental HRQoL remain significant when controlling for physical and psychological frailty.

Trajectories and Determinants of Quality of Life in Dementia with Lewy Bodies and Alzheimer's Disease

Background:

Quality of Life (QoL) is an important outcome measure in dementia, particularly in the context of interventions. Research investigating longitudinal QoL in dementia with Lewy bodies (DLB) is currently lacking.

Objective:

To investigate determinants and trajectories of QoL in DLB compared to Alzheimer’s disease (AD) and controls.

Methods:

QoL was assessed annually in 138 individuals, using the EQ5D-utility-score (0–100) and the health-related Visual Analogue Scale (VAS, 0–100). Twenty-nine DLB patients (age 69±6), 68 AD patients (age 70±6), and 41 controls (age 70±5) were selected from the Dutch Parelsnoer Institute-Neurodegenerative diseases and Amsterdam Dementia Cohort. We examined clinical work-up over time as determinants of QoL, including cognitive tests, neuropsychiatric inventory, Geriatric Depression Scale (GDS), and disability assessment of dementia (DAD).

Results:

Mixed models showed lower baseline VAS-scores in DLB compared to AD and controls (AD: β±SE = -7.6±2.8, controls: β±SE = -7.9±3.0, p < 0.05). An interaction between diagnosis and time since diagnosis indicated steeper decline on VAS-scores for AD patients compared to DLB patients (β±SE = 2.9±1.5, p < 0.1). EQ5D-utility-scores over time did not differ between groups. Higher GDS and lower DAD-scores were independently associated with lower QoL in dementia patients (GDS: VAS β±SE = -1.8±0.3, EQ5D-utility β±SE = -3.7±0.4; DAD: VAS = 0.1±0.0, EQ5D-utility β±SE = 0.1±0.1, p < 0.05). No associations between cognitive tests and QoL remained in the multivariate model.

Conclusion:

QoL is lower in DLB, while in AD QoL shows steeper decline as the disease advances. Our results indicate that non-cognitive symptoms, more than cognitive symptoms, are highly relevant as they impact QoL.

Prediction of Mortality by the Tilburg Frailty Indicator (TFI)

OBJECTIVE

To predict mortality with the Tilburg Frailty Indicator (TFI) in a sample of community-dwelling older people, using a follow-up of 7 years.

DESIGN

Longitudinal.

SETTING AND PARTICIPANTS

479 Dutch community-dwelling people aged 75 years or older.

MEASUREMENTS

The TFI, a self-report questionnaire, was used to collect data about total, physical, psychological, and social frailty. The municipality of Roosendaal (a town in the Netherlands) provided the mortality dates.

RESULTS

Total, physical, and psychological frailty predicted mortality, with unadjusted hazard ratios of 1.295, 1.168, and 1.194, and areas under the receiver operating characteristic curves of 0.664, 0.671, and 0.567, respectively. After adjustment for age and gender, the areas under the curves for total, physical, and psychological frailty were 0.704, 0.702, and 0.652, respectively. Analyses using individual components of the TFI show that difficulty in walking and unexplained weight loss predict mortality.

CONCLUSIONS AND IMPLICATIONS

This study has shown the predictive validity of the TFI for mortality in community-dwelling older people. Our study demonstrated that physical and psychological frailty predicted mortality. Of the individual TFI components, difficulty in walking consistently predicted mortality. For identifying frailty, using the integral instrument is recommended because total, physical, psychological, and social frailty and its components have proven their value in predicting adverse outcomes of frailty, for example, increase in health care use and a lower quality of life.

Quantitative Frailty Assessment Based on Kinematic Parameters of Daily Living Activities

Frailty is a prevailing phenomena in older people. It is an age related syndrome that can increase the risk of fall in elderly. The people with age above 65 suffers from various functional decline and cognitive impairments. Such deficiencies are conventionally measured subjectively by geriatrics using questionnaire-based methods and clinical tests. Activities of daily living are also assessed in clinical settings by analysing simple tasks performed by the subject such as sit to stand and walking some distances. The clinical methods used to assess frailty and analyse the activity of daily living are subjective in nature and prone to human error. An objective method is proposed to quantitatively measure frailty using inertial sensor mounted on healthy, frail and nonfrail subjects while performing the sit to stand test (SiSt). An artificial neural networks based algorithm is developed to classify the frailty by extracting a unique set of features from 2D -Centre of Mass (CoM) trajectories derived from SiSt clinical test. The results indicate that the proposed algorithms provides an objective assessment of frailty that can be used by geriatrics in turn to make a more objective judgement of frailty status of older people.

Idiosyncratic Drug-Induced Neutropenia and Agranulocytosis in Elderly Patients

Agranulocytosis is a rare, but serious and life-threatening hematologic disorder in elderly patients. Idiosyncratic drug-induced agranulocytosis (IDIA) has been classically defined by a neutrophil count below 0.5 × 10⁹/L. The annual incidence of IDIA in Europe is about 1.6–9.2 cases per million inhabitants. Increasing age and female sex have been considered as risk factors for the development of this condition. Besides, it is well known that older people take on average more drugs than younger people. This condition is most often associated with the intake of antibacterial agents, antiplatelets, antithyroids, antipsychotics, antiepileptics and nonsteroidal anti-inflammatory drugs (NSAIDs). Initially, agranulocytosis may present without symptoms, but may quickly progress to a severe infection and sepsis. The causative drug should be immediately stopped. In febrile patients, blood cultures and where indicated, site-specific cultures should be obtained and early treatment with empirical broad-spectrum antibiotics started. Even with adequate treatment, the mortality rate is higher in elderly patients reaching up to 20%. Hematopoietic growth factors have proven to be useful as they shorten the duration of neutropenia. However, data on neutropenia and agranulocytosis in the elderly meeting the criteria of evidence-based medicine are still poor in the literature. This review analyzes the results of our experience as well as other published studies of the universal literature.

Associations Between Obesity and Multidimensional Frailty in Older Chinese People with Hypertension

Purpose

To investigate the prevalence of multidimensional frailty in older people with hypertension and to examine a possible relationship of general obesity and abdominal obesity to frailty in older people with hypertension.

Patients and Methods

A sample of 995 community-dwelling older people with hypertension, aged 65 years and older and living in Zhengzhou (China), completed the Tilburg Frailty Indicator (TFI), a validated self-report questionnaire for assessing multidimensional frailty. In addition, socio-demographic and lifestyle characteristics were assessed by self-report, and obesity was determined by measuring waist circumference and calculating the body mass index.

Results

The prevalence of multidimensional frailty in this older population with hypertension was 46.5%. Using multiple linear regression analysis, body mass index was significantly associated with physical frailty (p = 0.001), and waist circumference was significantly positively associated with multidimensional frailty and all three frailty domains. Older age was positively associated with multidimensional frailty, physical frailty, and psychological frailty, while gender (woman) was positively associated with multidimensional, psychological, and social frailty. Furthermore, comorbid diseases and being without a partner were positively associated with multidimensional, physical, psychological, and social frailty. Of the lifestyle characteristics, drinking alcohol was positively associated with frailty domains.

Conclusion

Multidimensional frailty was highly prevalent among Chinese community-dwelling older people with hypertension. Abdominal obesity could be a concern in physical frailty, psychological frailty, and social frailty, while general obesity was concerning in relation to physical frailty.

Exploring psychosocial factors associated with frailty incidence among patients undergoing maintenance hemodialysis

AIM AND OBJECTIVE

We investigated the correlation between the frailty status of maintenance haemodialysis (MHD) patients and psychosocial factors.

BACKGROUND

Varying degrees of frailty have been reported in MHD patients, which affect their quality of life.

DESIGN

We adopted a cross-sectional design in this study.

METHODS

Clinical data of 187 patients at our centre were collected from December 2017-June 2018 using a cross-sectional survey. Psychosocial factors were measured using the Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety and Depression Scale, 10-item Connor-Davidson Resilience Scale (CD-RISC), Chronic Disease Self-Efficacy Scales and Perceived Social Support Scale. Frailty status was estimated using the fatigue, resistance, ambulation, illnesses and loss of weight (FRAIL) scale. Spearman's correlation and multiple logistic regression analysis were conducted to identify the risk factors for frailty. This study complied with the STROBE checklist.

RESULTS

Of 187 patients, 11 cases (5.9%) of frailty were identified. Patient's age, comorbidities, parathyroid hormone level, sleep quality and depression were positively correlated with frailty (p < .05), while psychological resilience and social support were negatively correlated with frailty (p < .05). Logistic regression analysis revealed four risk factors for frailty among MHD patients, including age (p = .004), comorbidities (p = .023), depression (p = .023) and sleep disorders (p = .029). Conversely, protective factors included high psychological resilience (p = .019) and social support (p = .039).

CONCLUSION

Among MHD patients, the risk factors for frailty included age, comorbidity, depression and sleep disturbance, whereas the protective factors included psychological resilience and social support.

RELEVANCE TO CLINICAL PRACTICE

Frailty is not only common among older patients, but also among people of all age groups suffering from chronic diseases. Therefore, it is important to consider the health status of MHD patients and adopt targeted nursing strategies to alleviate symptoms of frailty and improve physical condition by the following ways: postpone the progress of comorbidities, improve sleep quality, control the symptoms of depression, foster psychological resilience and facilitate support from social and family.

The Tilburg Frailty Indicator (TFI): New Evidence for Its Validity

Objective

The Tilburg Frailty Indicator (TFI) is a self-report user-friendly questionnaire for assessing multidimensional frailty among community-dwelling older people. The main aim of this study is to re-evaluate the validity of the TFI, both cross-sectionally and longitudinally, focusing on the predictive value of the total TFI and its physical, psychological, and social domains for adverse outcomes disability, indicators of healthcare utilization, and falls.

Methods

The validity of the TFI was determined in a sample of 180 Dutch community-dwelling older people aged 70 years and older. The participants completed questionnaires including the TFI, the Groningen Activity Restriction Scale (GARS) for assessing disability, and questions with regard to health care utilization and falls in 2016 and again one year later.

Results

The physical and psychological domains of the TFI were significantly correlated as expected with adverse outcomes disability, many indicators of healthcare utilization, and falls. Regression analyses showed that physical frailty was mostly responsible for the effect of frailty on the adverse outcomes. The cross-sectional and longitudinal predictive validity of total frailty with respect to disability and receiving personal care was excellent, evidenced by Areas Under the Curves (AUCs) >0.8. In most cases, using the cut-off point 5 for total frailty ensured the best values for sensitivity and specificity.

Conclusion

The present study provided new, additional evidence for the validity of the TFI for assessing frailty in Dutch community-dwelling older people aiming to prevent or delay adverse outcomes, including disability.

In-Hospital Outcomes of Patients on Maintenance Dialysis With Frailty: 10-year Results From the US National Inpatient Sample Database

OBJECTIVE

The in-hospital mortality rate of patients with end-stage renal disease (ESRD) is 6-8 times greater than that of the general population. A large fraction of patients with ESRD are frail, which further exacerbates this poor outcome. This study aimed to determine the impact of frailty on in-hospital outcomes of patients with ESRD.

DESIGN AND METHODS

This population-based, retrospective study used data from the Nationwide Inpatient Sample (NIS), the largest all-payer US inpatient care database. Data of 1,424,026 hospitalized patients on maintenance dialysis between 2005 and 2014 were included. Patients were classified with respect to frailty status. Primary endpoints were all-cause in-hospital mortality, discharge disposition, length of hospital stay, and hospital costs. Patient characteristics included age, sex, race, income, insurance status, and Charlson's comorbidity index. Logistic regression and linear regression analyses were conducted to evaluate the associations between frailty and clinical outcomes.

RESULTS

After adjustment for the confounders, hospitalized patients with frailty on maintenance dialysis were at double the risk of in-hospital mortality, 3 times the risk of discharge to long-term facilities, had hospital stays 5 days longer, and incurred $40,000 more in-hospital costs than those without frailty. The impact of frailty on all these in-hospital outcomes was greater among patients aged <65 years than among older adults.

CONCLUSION

For hospitalized patients on maintenance dialysis, frailty independently predicts worse in-hospital outcomes, with stronger effects on younger patients. The development of adequate interventions for frailty in patients with ESRD and vigilance in treating this subgroup during hospitalization are highly warranted.