Prevalence Of Frailty Research Articles

The Association Between Pain and Physical Frailty Among Older Adults in India: Depression and Insomnia as Mediators

ABSTRACT Objectives To investigate the association between body pain and physical frailty among older adults in India and to examine whether this association is mediated by symptoms of depression and insomnia. Methods Data were obtained from the Longitudinal Aging Study in India, comprising 31,464 adults aged 60 and older. Physical frailty was assessed using a modified version of the frailty phenotype developed by Fried and colleagues. Multivariable logistic regression was used to analyze associations, and the Karlson–Holm–Breen method was employed to evaluate mediation effects. Results The prevalence of frailty was 30.65%, with women showing a higher prevalence than men (33.16% vs. 27.85%). Older adults experiencing body pain had increased odds of frailty (adjusted odds ratio [aOR]: 1.17, 95% CI: 1.06–1.35). Depression (aOR: 1.70, 95% CI: 1.44–2.01) and insomnia symptoms (aOR: 1.58, 95% CI: 1.38–1.81) were independently associated with higher odds of frailty. Mediation analysis showed that depression mediated 8.4% of the association between pain and frailty in men and 6.11% in women. Insomnia symptoms mediated 11.47% of the association in men and 14.54% in women. Conclusion Body pain was significantly associated with a higher likelihood of frailty among older adults in India. Symptoms of depression and insomnia partially mediated this association, with a stronger mediating effect observed for insomnia in women. Inclusive health care strategies addressing pain, depression, and insomnia could help mitigate the risk of frailty in this population.

Prevalence and risk factors of cognitive frailty in patients with cardiovascular disease: A hospital-based cross-sectional study.

The prevalence of the cognitive frailty is increasing in China. Screening for this condition is crucial for its early detection, prevention, and treatment. This study was designed to explore the incidence of cognitive frailty among hospitalized elderly patients suffering from cardiovascular disease. It also aimed to analyze the factors influencing its occurrence, thereby providing substantial evidence for the development of early prevention and intervention strategies. From March 2022 to October 2023, under cardiovascular care program, the cardiovascular patients (n = 1190) were subjected to standardized questionnaires to collect demographical characteristics. Also, nutritional and psychosocial assessments tests were performed for the enrolled patients. Multivariate logistic regression analysis was used to evaluate factors associated with cognitive frailty. A total of 1190 (755 males and 435 females) were included. The mean age was 73.36 ± 7.37 years. The prevalence of cognitive frailty in the study population was 33.9% (404/1190). The prevalence of cognitive frailty was 40.7% in men, 22.3% in women. In terms of specific cardiovascular diseases, the prevalence of cognitive frailty was 28.5% in coronary heart disease, 20.5% in arrhythmia, 36.8% in valvular disease, 53% in heart failure, and 13.7% in hypertension. The multivariable analysis showed that age (OR = 1.13, 95% CI: 1.10-1.15, P < .001), anxiety (OR = 1.01, 95% CI: 1.03-1.11, P = .001), female sex (OR = 1.83, 95% CI: 1.10-1.16, P < .001), education level (college and above, OR = 0.27, OR = 0.12-0.64, P = .003), polypharmacy (OR = 2.29, 95% CI: 1.62-3.23, P < .001), comorbidity (OR = 1.93 95% CI: 1.37-2.71, P < .010), region (rural, OR = 1.77, 95% CI: 1.36-2.30, P < .001), sarcopenia (OR = 1.60, 95% CI: 1.16-2.19, P = .004), and nutritional status (risk of malnutrition, OR = 1.66, 95% CI: 1.17-2.35, P = .004; malnutrition exists, OR = 3.24, 95% CI: 1.85-5.83, P < .001) were independently associated with cognitive frailty. The prevalence of cognitive frailty was 33.9% in hospitalized elderly cardiovascular patients in Guangzhou. heart failure, hypertension, age, anxiety, female sex, education level, polypharmacy, comorbidity, region, sarcopenia, and nutritional status were independent risk factors for cognitive frailty.

Prevalence of new frailty at hospital discharge in severe COVID-19 survivors and its associated factors.

The development of frailty at hospital discharge affects the clinical outcomes in severe coronavirus disease (COVID-19) survivors who had no frailty before hospitalization. We aimed to describe the prevalence of new frailty using the Clinical Frailty Scale (CFS) and evaluate its associated factors in patients with severe COVID-19 without pre-existing frailty before hospitalization. We performed a secondary analysis of clinical data from a nationwide retrospective cohort collected from 22 hospitals between January 1, 2020 and August 31, 2021. The patients were at least 19 years old and survived until discharge after admission to the intensive care unit (ICU) because of severe COVID-19. Development of new frailty was defined as a CFS score ≥ 5 at hospital discharge. Among 669 severe COVID-19 survivors without pre-existing frailty admitted to the ICU, the mean age was 65.2 ± 12.8 years, 62.5% were male, and 50.2% received mechanical ventilation (MV). The mean CFS score at admission was 2.4 ± 0.9, and new frailty developed in 27.8% (186/483). In multivariate analysis, older age, cardiovascular disease, CFS score of 3-4 before hospitalization, increased C-reactive protein level, longer duration of corticosteroid treatment, and use of MV and extracorporeal membrane oxygenation were identified as factors associated with new-onset frailty. Our study suggests that new frailty is not uncommon and is associated with diverse factors in survivors of severe COVID-19 without pre-existing frailty.

The Prevalence of Frailty in Community Dwelling Older Adults Living in Tehran

The Prevalence of Frailty in Community Dwelling Older Adults Living in Tehran

Prevalence and correlates of frailty among older people with and without HIV in rural Uganda.

The relationship between HIV and frailty, a predictor of poor outcomes in the face of stressors, remains unknown in older people in sub-Saharan Africa. We analysed data from the Quality of Life and Ageing with HIV in Rural Uganda cohort study to estimate the prevalence and correlates of frailty among older people with HIV (PWH) on long-term antiretroviral therapy and among age and sex-similar HIV-uninfected comparators. Frailty was defined as a self-report of 3 or 4 (and pre-frailty as 1 or 2) of the following phenotypic variables: weight loss, exhaustion, low activity, and slowness. We estimated the prevalence of frailty and pre-frailty and fitted logistic regression models to estimate the association between HIV and frailty, adjusting for sociodemographic factors, depression, and other comorbidities. We enrolled 599 participants (49% women) with a mean age of 58 years. PWH had a similar prevalence of frailty (8.1% vs. 10.9%, p=0.24) but a lower prevalence of pre-frailty (54.2% vs. 63.2%, p=0.03) compared with their HIV-uninfected comparators. In multivariable regression models, people with depression (AOR 7.52 [95% CI: 3.67-15.40], p<0.001) and those with ≥1 comorbidities (AOR 3.15 [95% CI: 1.71-3.82], p<0.001) were more likely to be frail. HIV serostatus was not significantly associated with frailty (AOR 0.71 [95% CI: 0.37-1.34], p=0.29). Older PWH had a similar prevalence of frailty as those without HIV. These findings call for additional study of the factors that contribute to the robustness of older PWH in sub-Saharan Africa.

Modifiable Risk Factors for Cognitive Frailty in Older Chinese Patients With Diabetes: A Systematic Review and Meta-Analysis.

To perform a systematic review and meta-analysis clarifying potential modifiable risk factors for cognitive frailty in older Chinese persons with diabetes. We conducted a comprehensive search across four English and four Chinese databases, spanning from 1980 to May 2024. The aim was to identify studies that investigate potential modifiable risk factors for cognitive frailty in older patients with diabetes. Meta-analysis was performed using Stata16.0. Out of the 237 records identified, 19 studies met the inclusion criteria and were consequently included for analysis. The results of the meta-analysis revealed that the prevalence of cognitive frailty among older patients with diabetes was 22.2% (95% confidence interval [CI]: 0.177-0.270, I2 = 93.92%). Depression (OR = 3.18, 95% CI: 2.19-4.62, I2 = 79.6%), HbA1c (OR = 2.18, 95% CI: 1.66-2.85, I2 = 41.5%) and malnutrition (OR = 4.04, 95% CI: 1.58-10.34, I2 = 95.0%) were significantly associated with cognitive frailty in this population. Regular exercise (OR = 0.30, 95% CI: 0.11-0.84, p < 0.01, I2 = 87.3%) and higher education (OR = 0.30, 95% CI: 0.16-0.58, p < 0.01, I2 = 69.7%) are identified as protective factors against cognitive frailty. This systematic review and meta-analysis demonstrates that interventions targeting depression, HbA1c level, malnutrition, exercise and education can effectively reduce the risk of cognitive frailty in older patients with diabetes.

Development and Validation of a Frailty Risk Prediction Model for Community-Dwelling Elderly in Shanghai

Background: China is rapidly aging, increasing the burden on families, society, and public health services. The health of elderly individuals tends to deteriorate with age, and chronic conditions like frailty become more prevalent, driving up the use of healthcare services. Early screening and intervention for frailty are crucial in managing this demographic shift. While tools like the Fried Frailty Phenotype and Frailty Index assess frailty in communities, they are resource-intensive and only indicate frailty status without predicting risk or providing management recommendations. This study aims to develop a risk prediction model for frailty using real-world data, which can support the early detection of high-risk individuals in community settings. Objectives: To analyze the prevalence of frailty and its influencing factors in community-dwelling elderly, to construct a frailty risk prediction model and develop a nomogram, and to validate the model and assess its clinical utility. Methods: A cross-sectional survey of 420 elderly individuals in a Shanghai community health center was conducted (August 2022–March 2023). Data from various assessment tools were used to build a frailty prediction model through logistic regression, with validation conducted on 180 additional participants. The model’s predictive performance was evaluated using the ROC, AUC, calibration curves, and decision curve analysis (DCA). Results: The frailty prevalence was 7.4%. Independent risk factors included social support, malnutrition, fatigue, sarcopenia, reduced grip strength, and sleep duration. The prediction model achieved an AUC of 0.968 in the training set and 0.939 in the validation set, indicating high discrimination and calibration. DCA confirmed the model’s clinical utility. Conclusion: This study highlights a frailty prevalence rate of 7.4% among elderly individuals in Shanghai, with key risk factors identified. The validated frailty risk prediction model provides accurate and clinically effective frailty risk assessment, supporting targeted early interventions to prevent frailty in community settings.

Disentangling the relationship between biological age and frailty in community-dwelling older Mexican adults.

Older adults have highly heterogeneous aging rates. To explore the association of biological age (BA) and accelerated aging with frailty in community-dwelling older adults. We assessed 735 community-dwelling older adults from the Coyocan Cohort. BA was measured using AnthropoAge, accelerated aging with AnthropoAgeAccel, and frailty using Fried's phenotype and the frailty index. We explored the association of BA and accelerated aging (AnthropoAgeAccel ≥ 0) with frailty at baseline and characterized the body composition and physical function phenotype of accelerated aging in non-frail/frail participants. We also explored accelerated aging as a risk factor for frailty progression after 3-years of follow-up. Older adults with accelerated aging have higher frailty prevalence and indices, lower handgrip strength and gait speed. AnthropoAgeAccel was associated with higher frailty indices (β = 0.0053, 95%CI 0.0027-0.0079), and increased odds of frailty at baseline (OR 1.16, 95%CI 1.09-1.25). We observed sex-based differences in body composition and physical function linked to accelerated aging in non-frail participants; however, these differences were absent in pre-frail/frail participants. Accelerated aging at baseline was associated with higher risk of frailty progression over time (OR 1.74, 95%CI 1.11-2.75). Despite being intertwined, biological accelerated aging is largely independent of frailty in community-dwelling older adults.

Assessment of Frailty Scores Among Geriatric Patients Hospitalized in the North-Western Region of Romania: A Cross-Sectional Study

Background and Objectives: The global demographic trend of population aging is evident across all regions, with a notable increase in the proportion of elderly individuals. Romania exemplifies this phenomenon, as 17% of its population is currently aged 65 years or older—a figure projected to rise to 25% by 2050. This demographic shift underscores the pressing need for comprehensive measures to address the health and social requirements of this growing population segment. This study aims to assess the prevalence of frailty among older adults in Romania and explore its relationship with socioeconomic factors. Materials and Methods: We employed a quantitative approach, by using cross-sectional data from patients hospitalized at the geriatrics ward of the Municipal Clinical Hospital in Cluj-Napoca, Romania. Frailty scores were calculated through established frailty assessment tools, allowing for a comprehensive evaluation of frailty status. In addition, we compared the socioeconomic characteristics of frail and non-frail patients to identify potential disparities. Statistical analyses were performed to assess associations between frailty and socioeconomic factors, providing insight into the relationship between these variables within the patient population. Results: The prevalence of frailty in our sample is, depending on the frailty scale used, 55% to 79%, which is in line with figures from specialized geriatric wards in other studies. There is moderate to substantial agreement between the scales we compared, and all six scales seem to concurrently agree on the frailty diagnostic in 55% of cases. Additionally, frail patients are more likely to have a low socioeconomic status. Conclusions: A significant limitation in European frailty research has been the absence of comparative frailty prevalence data across several European countries, especially those with lower economic development. Our study fills this gap by providing data on frailty prevalence in the north-western region of Romania.

Effect of individually tailored nutritional counseling on frailty status in older adults with protein-energy malnutrition or risk of it: an intervention study among home care clients.

Frailty and protein-energy malnutrition (PEM) are common in older home care clients. In this study, we evaluate the effect of individually tailored dietary counseling on frailty status among home care clients with PEM or its risk aged 75 or older with a follow-up of six months. This intervention study is part of the non-randomized population-based Nutrition, Oral Health and Medication (NutOrMed) study in Finland. The frailty was assessed using the abbreviated Comprehensive Geriatric Assessment (aCGA) and included 15 questions from three different domains: cognitive status (MMSE), functional status (ADL, IADL) and depression (GDS-15). The study population consisted of persons with PEM or its risk (intervention group n = 90, control group n = 55). PEM or its risk was defined by MNA score <24 and/or plasma albumin <35 g/l. Registered nutritionist gave individually tailored nutritional counseling for participants at the baseline and nutritional treatment included conventional food items. The mean age was 83.9 in the intervention and 84.3 in the control group. At the baseline frailty prevalence was 74.4% (n = 67) and after six-month 61.1% (n = 55) in the intervention group and, respectively 74.5% (n = 41) and 80.0% (n = 44) in the control group. The intervention decreased significantly (p < 0.001) the prevalence of frailty in the intervention group, while it increased in the control group. Individually tailored nutritional counseling reduces the prevalence of frailty among vulnerable home care clients with PEM or its risk. In the nutritional treatment of frailty, adequate intake of protein and energy should be a cornerstone of treatment.

Review of frailty in geriatric surgical oncology.

Frailty is a common phenomenon in older adult population and associated with an elevated risk of adverse health outcomes. Recent studies have demonstrated that patients with frailty undergoing surgery had a significantly higher morbidity and mortality compared to those without frailty. This is particularly important in patients with cancer because the prevalence of frailty is persistently high across a spectrum of primary cancers. Identifying frailty in oncological patients undergoing surgery may provide an important preoperative intervention opportunity to mitigate operative risks. In this review, we provide an overview of frailty and its association with other geriatric syndromes. We will also review the impact of frailty on postoperative outcomes focusing on the field of surgical oncology. We then describe currently available tools to objectively measure frailty to provide clinicians with various practical tools that may be adopted in their clinical practice. Finally, we will describe potential interventional programs, including the recently introduced Geriatric Surgery Verification program by the American College of Surgeons, that may be institutionally adopted to mitigate postoperative complications and improve meeting patient-centered goals in the frail patient population.

The perioperative frailty index derived from the Chinese hospital information system: a validation study

BackgroundThere are various frailty assessment tools in the world, and the application choice of frailty assessment tools for the elderly perioperative population varies. It remains unclear which frailty assessment tool is more suitable for the perioperative population in China. To validate the Perioperative Frailty Index (FI-32) derived from the Chinese Hospital Information System by investigating the impact of preoperative frailty on postoperative outcomes, and ascertain the diagnostic value of FI-32 for predicting postoperative complications through comparing with the FRAIL scale and the modified Frailty Index (mFI-11).MethodsA prospective cohort study was conducted in a tertiary hospital. Elderly patients who were 60 years or older and underwent selective operation were included. The FI-32, FRAIL scale, and mFI-11 were assessed. Demographic, surgical variables and outcome variables were extracted from medical records. The data of readmission and mortality within 30 days and 90 days of surgery were ascertained by Telephone follow-up by professionally trained researchers. Multiple logistic regression was used to examine the association between frailty and complications. Receiver operating characteristic curves(ROC) were used to compare FI-32 with mFI-11 and FRAIL, to explore the predictive ability of frailty.Results335 patients qualified for the inclusion criteria and were enrolled in the study, and among them, 201 (60.0%) were females, and the Median(P25, P75)age at surgery was 69 (65,74) years. The prevalence of frailty in the study population was 16.4% (assessed by FI-32). After adjusting for concomitant variables including demographic characteristics (such as gender, BMI, smoking, drinking, average monthly income and educational level) and surgical factors (such as surgical approach, surgical site, anesthesia method, operation time, intraoperative bleeding, and intraoperative fluid intake), there was a statistically significant association between frailty and the development of postoperative complication after surgery (OR = 3.051, 95% CI:1.460–6.378, P = 0.003). There were also significant differences in mortality within 30 days of surgery, the length of hospital stay (LOS) and the hospitalization costs. FI-32, FRAIL and mFI-11 showed a moderate predictive ability for postoperative complications, the Area Under Curves (AUCs) were 0.582, 0.566 and 0.531, respectively. With adjusting concomitant variables associated with postoperative complications, the AUCs of FI-32, FRAIL and mFI-11 in the adjusted prediction models were 0.824, 0.827 and 0.820 respectively.ConclusionsThe FI-32 has a predictive effect on postoperative adverse outcomes in elderly Chinese patients. Compared to FRAIL and mFI-11, the FI-32 had the same ability to predict postoperative complications, and FI-32 can be extracted directly from HIS, which greatly saves the time for clinical medical staff to evaluate perioperative frailty.

Screening for Frailty According to Rural and Suburban Health Areas in the Context of Adapted Integrated Care for Older People Approach: The FRAGING Study.

The integrated care for older people (ICOPE) program, developed by the World Health Organization, serves as a public health initiative to maintain older adults' functional abilities and promote healthier aging. Here, we adapted the ICOPE approach to assess overall prevalence of frailty in rural and semi-urban areas. We also investigated health-related quality of life and physical activity and sedentary behavior in older people. The FRAGING multicenter cohort study was performed on screening days dedicated to older adults (≥65 years) without chronic disease in a rural area (RU) and in a semi-urban area (SU). The study included a total of 105 participants: 98.4% of participants were frail, with a mean of 4.3 [SD:2.5] frailties per participant. RU participants had higher number of frailties (p = 0.02) and a higher percentage of frail participants in the dimensions of health-related quality of life (p<0.0001), socioeconomical level (p = 0.008), colorectal cancer screening (p = 0.022), and tetanus booster doses (p = 0.008). Globally, women were less sedentary than men (p = 0.02) and engaged more in low physical activity (LPA) than men (p = 0.01). RU participants engaged more in LPA than SU participants (p = 0.03). The prevalence of frailty is alarmingly underestimated in older adults without chronic disease. This study demonstrated the need to propose appropriate, validated screening tests that consider territorial issues and organization of care delivery. The ICOPE framework serves as a good startpoint for reorganizing person-centered healthcare pathways.

Prognostic Value of Sarcopenia Definitions and Outcomes Consortium Criteria in Older Patients with Heart Failure

ObjectivesThe Asian Working Group for Sarcopenia in 2019 (AWGS 2019) emphasized muscle mass measurements. In contrast, the Sarcopenia Definitions and Outcomes Consortium (SDOC) prioritizes functional strength and mobility. Therefore, this study aimed to compare the prognostic utility of the SDOC and AWGS 2019 criteria for all-cause mortality in older patients with heart failure. DesignA post hoc analysis of the Prevalence and Prognostic Value of Physical and Social Frailty in Geriatric Patients Hospitalized for Heart Failure (FRAGILE-HF) study, a prospective, multicenter, observational study. Setting and ParticipantsPatients aged ≥65 years hospitalized for heart failure across 15 hospitals in Japan. MethodsSarcopenia was diagnosed according to the AWGS 2019 and SDOC definitions. According to the SDOC criteria and by integrating insights from previous research, patients were categorized into nonsarcopenia, possible sarcopenia, and sarcopenia groups. The primary outcome was 2-year mortality. ResultsOf the 1282 study patients, possible sarcopenia and sarcopenia were diagnosed in 357 and 786 individuals, respectively. Kaplan–Meier analysis revealed a significant difference between the groups. Adjusted Cox proportional hazards analysis indicated a significant stepwise association between sarcopenic status and mortality risk (possible sarcopenia: hazard ratio, 1.22; 95% CI, 0.66–2.28; P = .525; sarcopenia: hazard ratio, 1.89; 95% CI, 1.08–3.34; P = .027). When sarcopenia defined by the SDOC and AWGS 2019 criteria was added to the model incorporating conventional risk factors, no significant difference was observed in the prognostic capabilities between the 2 models (net reclassification improvement, −0.009; 95% CI, −0.193 to 0.174; P = .920, with areas under the receiver operating characteristic curve of 0.697 for SDOC and 0.703 for AWGS 2019; P = .675). Conclusions and ImplicationsAmong older patients with heart failure, the SDOC criteria for sarcopenia diagnosis are useful for risk stratification and provide prognostic capabilities equivalent to those of the AWGS 2019 criteria.

Meta-Analysis: Prevalence of Frailty and Associated Adverse Events in Inflammatory Bowel Diseases.

The number of adults aged over 60 years with inflammatory bowel disease (IBD) is increasing. Frailty, rather than chronological age, may be a better predictor of adverse health outcomes. To summarise current knowledge about frailty in adults with IBD including the prevalence and associations of frailty and IBD-related adverse outcomes. We performed an electronic search of MEDLINE, EMBASE and EMBASE Classic databases using search terms for IBD and frailty from inception to 14 February 2024. All studies involving adults aged ≥ 16 with a confirmed diagnosis of IBD that included a frailty assessment were eligible for inclusion. We included 23 observational studies involving 1,893,448 adults. Risk of bias was low for 18 studies and moderate for five. Twelve methods of frailty assessment were used, the most common being the Hospital Frailty Risk Score. Pooled prevalence of frailty in IBD patients was 18% (95% confidence interval (CI) 12.4%-25.6%). Meta-analysis of unadjusted events data demonstrated that frailty increased the risk of infection-related admissions following treatment in two studies (relative risk (RR) 1.9; 95% CI 1.2-3.0), post-operative morbidity in three (RR 2.0; 95% CI 1.4-2.7) and mortality in seven (RR 4.3; 95% CI 2.6-7.4). Frailty is common in patients with IBD and is associated with IBD-related adverse outcomes including infection-related admissions following treatment, post-operative morbidity and death. Future work should focus on developing risk assessment tools to better support decision making for older people with frailty and IBD.

Association between sleep quality, sleep duration, and physical frailty among adults aged 50 years and older in India

BackgroundConsidering the significant growth in India’s aging population, it is imperative to identify factors associated with frailty among older Indians. This study examined the association between sleep quality, sleep duration, and physical frailty among older adults in India. Moreover, we examined whether the associations between sleep quality, sleep duration, and physical frailty varied by gender.MethodsIn this secondary analysis, we used data from the 2015 wave 2 of the Study on Global Aging and Adult Health (WHO-SAGE) in India, comprising a sample of 6,512 older adults aged 50 years and above. Pre-frailty and frailty were assessed using the modified version of the frailty phenotype developed by Fried and colleagues. Sleep was assessed by self-reported quality and duration. Multinomial and multivariable logistic regression models were used to examine the associations between sleep quality, sleep duration, and physical frailty (including its components), as well as to explore the moderating effect of gender.Results66.8% of older Indians were pre-frail, while 25.2% were frail. Relative to those with good sleep quality, older adults with poor sleep quality had significantly higher odds of frailty [AOR: 2.79; CI: 1.37–5.66]. Compared to those receiving the recommended age-appropriate 7–8 h of sleep, older adults sleeping ≥ 9 h reported a significantly lower likelihood of both pre-frailty [AOR: 0.73; CI: 0.57–0.93] and frailty [AOR: 0.68; CI: 0.51–0.91]. Analysis of specific components of frailty showed that older adults with long sleep had lower odds of exhaustion [AOR: 0.86; CI: 0.73–1.00] compared to those with age-appropriate sleep duration. Moreover, frailty was more pronounced in older men with poor sleep quality and short sleep duration (< 7 h/night) than in older women with similar sleep patterns. Poor sleep quality was not linked to any of the frailty components in older women; however, in older men, it was associated with exhaustion [AOR: 4.28; CI: 2.28–8.06], weak grip strength [AOR: 2.31; CI: 1.46–3.67], and low physical activity [AOR: 2.81; CI: 1.10–7.21].ConclusionThe findings indicate potential associations between sleep quality, sleep quantity, and physical frailty among older Indians. Poor sleep quality was associated with frailty, yet long sleep duration was associated with a lower prevalence of frailty, independent of sleep quality. Moreover, the prevalence of frailty associated with poor sleep quality and shorter sleep duration was more pronounced among older Indian men than women, underscoring the need for targeted interventions to address sleep-related concerns in this demographic.

Association of Limited Health Literacy With Frailty, Health-Related Quality of Life, and Health Care Utilization Among Older Adults With Cancer: The Cancer and Aging Resilience Evaluation Registry.

Limited health literacy-ability to obtain, process, and understand health information-can hinder communication, access to medical treatment, and identification and management of comorbidities. Older adults have high rates of poor health literacy, but its role in aging-related outcomes among older adults with cancer is understudied. We included 876 older adults age 60 years and older with cancer from the Cancer and Aging Resilience Evaluation Registry completing self-reported geriatric assessment, including health literacy, at first visit to medical oncology. The exposure was limited health literacy. Outcomes were frailty, physical/mental health-related quality of life (HRQOL), and health care utilization. We used modified Poisson regression to examine the association of exposure on outcomes adjusting for age, race-ethnicity, sex, and cancer type/stage. Median age at enrollment was 68; 57.8% were male; 20.2% were non-Hispanic Black. The most prevalent cancers were advanced-stage (46.8% stage IV) colorectal (26.9%) and pancreatic (19.0%). Those with limited health literacy were older (70 v 68 years; P < .001), male (63.0% v 55.1%; P = .026), non-Hispanic Black (28.8% v 16.1%; P < .001), ≤high school educated (62.3% v 28.1%; P < .001), and retired/disabled (86.3% v 71.2%; P < .001). In multivariable analysis, limited health literacy was associated with higher prevalence of frailty (prevalence ratio [PR], 2.64 [95% CI, 2.15 to 3.26]), impaired physical (PR, 1.90 [95% CI, 1.59 to 2.27]) and mental (PR, 2.08 [95% CI, 1.76 to 2.47]) HRQOL, and hospitalization in the last year (PR, 1.28 [95% CI, 1.10 to 1.48]) versus adequate health literacy. Older adults with cancer and limited health literacy had higher adjusted prevalence of frailty, impaired physical and mental HRQOL, and recent hospitalization. Interventions to address limited health literacy should be explored in this vulnerable and growing cancer population.

Older patients affected by COVID-19: investigating the existence of biological phenotypes

IntroductionCOVID-19 provides an opportunity to examine biological phenotypes (observable morphological, functional and biological characteristics) in individuals who experience the same acute condition, potentially revealing differences in response to acute external stressors. The aim our study was to investigate biological phenotypes in older patients hospitalized for COVID-19, exploiting a panel of aging biomarkers.MethodsData were gathered from the FRACOVID Project, an observational multicenter study, aimed to evaluate the impact of frailty on health-related outcomes in patients 60 + with COVID-19 in Northern Italy. A hierarchical cluster analysis was run using log-transformed and scaled values of TNF-a, IL-1 beta, IL-6, PAI-1, GDF-15, NT-proBNP, and Cystatin C evaluated at admission.ResultsEighty-one participants (mean age 75.3 years; 60.5% male) were evaluated. Frailty was identified in 42% of the sample and 27.2% were unable to ambulate outdoors. The mean hospital stay was 24.7 days, with an in-hospital mortality rate of 18.5%. Three biological phenotypes were found: (1) ‘inflammatory’, with high inflammatory biomarkers; (2) ‘organ dysfunction’, characterized by elevated cystatin C and NT-proBNP, and lower inflammatory markers; and (3) ‘unspecific’, with lower NT-proBNP and GDF-15 levels, and intermediate concentrations of other biomarkers. The ’organ dysfunction’ phenotype showed the highest mean age and prevalence of frailty, disability, and chronic diseases. The ‘inflammatory‘ phenotype showed the highest burden of respiratory and systemic signs and symptoms of infection.ConclusionBiological phenotypes might be used to identify different clinical and functional phenotypes in individuals affected by COVID-19.

Frailty prevalence and associated factors in community dwelling older adults: An examination of the frailty care model

BackgroundAge-related changes put older adults at risk for frailty. The Frailty Care Model was created to inform the care of older adults with or at risk for frailty. The purpose was to test the Frailty Care Model. MethodsThis was a cross-sectional study to identify associations between factors in the Frailty Care Model, and frailty components in older adults’ strength, fatigue, ability to ambulate, and weight loss over the last year. Comparisons across frailty groups used Pearson's chi-square tests or Fisher's exact tests. ANOVA tests and Kruskal-Wallis tests were used. Multivariable ordinal regression models were fit. ResultsOdds of frailty increased by 137% for those who lived alone, 20% for those who were depressed, and 433% for those who were classified as “at risk for malnutrition”. ConclusionsThis study was the first to test the Frailty Care Model with a focus on modifiable factors that predict frailty.

Frailty and Its Associated Factors in Patients With Atrial Fibrillation: A Cross-Sectional Study.

This study aimed to investigate the prevalence of frailty and its predictors among Taiwanese patients with atrial fibrillation (AF). A cross-sectional study was conducted, enrolling 188 AF patients aged over 20 years from a medical center in northern Taiwan. Participants were recruited from September 1 to December 30, 2022. Structured questionnaires were used to gather data on demographics, disease characteristics, Study of Osteoporotic Fractures Index, Short Portable Mental Status Questionnaire, Mini Nutritional Assessment Short-Form, Chinese Version Pittsburgh Sleep Quality Index, and Hospital Anxiety and Depression Scale. Among Taiwanese AF patients, over two-thirds were at risk of frailty, with susceptibility increasing with age. Key potential predictors included sex, cognitive function, nutritional status, sleep quality, and depression, jointly explaining 47.6% of the variation, with nutritional status being the most significant. These findings underscore the importance of comprehensive assessment and management strategies to address frailty in AF patients and improve overall health outcomes.