Risk Factors For Frailty Research Articles

The Association Between Frailty and Chronic Lung Allograft Dysfunction After Lung Transplantation.

After lung transplantation, both frailty and chronic lung allograft dysfunction (CLAD) commonly develop, and when they do, are associated with poorer outcomes. Given their potential shared mechanisms, we sought to explore the temporal relationship between frailty and CLAD onset. In a single center, we prospectively measured frailty by the short physical performance battery (SPPB) repeatedly after transplant. Because of the nature of the relationship between frailty and CLAD is unknown, we tested the association between frailty, modeled as a time-dependent predictor, and CLAD development as well as CLAD development, modeled as a time-dependent predictor, and frailty development. To do so, we used Cox proportional cause-specific hazards and conditional logistic regression models adjusted for age, sex, race, diagnosis, cytomegalovirus serostatus, posttransplant body mass index, and acute cellular rejection episodes as time-dependent covariates. We tested SPPB frailty as a binary (≤9 points) and continuous predictor (12-point scale); as an outcome, we defined frailty as SPPB ≤9. The 231 participants were a mean age of 55.7 y (SD 12.1). After adjusting for covariates, the development of frailty within 3 y after lung transplant was associated with cause-specific CLAD risk (adjusted cause-specific hazard ratio: 1.76; 95% confidence interval [CI], 1.05-2.92 when defining frailty as SPPB ≤9 and adjusted cause-specific hazard ratio: 1.10, 95% CI, 1.03-1.18 per 1-point worsening in SPPB). CLAD onset did not appear to be a risk factor for subsequent frailty (odds ratio, 4.0; 95% CI, 0.4-197.0). Studying the mechanisms underlying frailty and CLAD could provide new insights into the pathobiology of both and potential targets for intervention.

Preoperative and one-year postoperative frailty status changes and risk factors in elderly patients undergoing pancreatectomy

Preoperative and one-year postoperative frailty status changes and risk factors in elderly patients undergoing pancreatectomy

Risk Factors of Progression to Cognitive Frailty: Singapore Longitudinal Ageing Study 2

Introduction: Cognitive frailty is associated with higher risk of dementia and adverse health outcomes. However, multidimensional factors that influence cognitive frailty transitions are not known. We aimed to investigate risk factors of incident cognitive frailty. Methods: Prospective cohort study participants were community-dwelling adults without dementia and other degenerative disorders and baseline and follow-up, including N = 1,054 participants aged ≥55 free of cognitive frailty at baseline, with complete baseline (March 6, 2009, to June 11, 2013) and follow-up data at 3–5 years later (January 16, 2013, to August 24, 2018). Incident cognitive frailty was defined by one or more criteria of the physical frailty phenotype and <26 of Mini-Mental State Examination (MMSE) score. Potential risk factors assessed at baseline included demographic, socioeconomic, medical, psychological and social factors, and biochemical markers. Data were analyzed using least absolute shrinkage selection operator (LASSO) multivariable logistic regression models. Results: A total of 51 (4.8%) participants, including 21 (3.5%) of the cognitively normal and physically robust participants, 20 (4.7%) of the prefrail/frail only, and 10 (45.4%) of cognitively impaired only, transited to cognitive frailty at follow-up. Risk factors for transition to cognitive frailty were having eye problem (OR = 2.6, 95% CI 1.24–5.43) and low HDL cholesterol (OR = 4.1, 95% CI 2.03–8.40), while protective factors for cognitive frailty transition were higher levels of education (OR = 0.3, 95% CI 0.10–0.74) and participation in cognitive stimulating activities (OR = 0.4, 95% CI 0.17–0.82). Conclusion: Multi-domain modifiable factors especially related to leisure activities predict cognitive frailty transition and may be targeted for prevention of dementia and associated adverse health outcomes.

Frailty in asthma-COPD overlap: a cross-sectional study of association and risk factors in the NHANES database

BackgroundAsthma-chronic obstructive pulmonary disease (COPD) overlap (ACO) is a condition characterised by the simultaneous presence of features of both asthma and COPD. The study aims to investigate the association between...

Prevalence of frailty and associated factors among kidney transplant recipients

Objective: To investigate the prevalence of frailty among kidney transplant recipients and to analyze the influential factors of frailty after kidney transplantation. Methods: We retrospectively included 201 kidney transplant recipients who were followed up in the Department of Urology, Beijing Chao-yang Hospital, Capital Medical University from November 2020 to May 2022. We investigated the prevalence of frailty based on the Fried Frailty Scale (including unexpected shrinking, slow walking speed, poor grip strength, low physical activity, and exhaustion). Then the logistic regression model and CART decision tree model were established separately to explore the influential factors of frailty after kidney transplantation. Results: Frail kidney transplant recipients accounted for 25.9% (n=52) of all participants. The age [M (Q1, Q3)] of the frailty group was higher than that of the non-frailty group, and the median ages of the two groups were 57(49, 62) and 46(38, 56) (P<0.001); the males accounted for 51.9% (n=27) and 62.4% (n=93), respectively. There was no significant difference in gender composition (P=0.244). Among the five components of Fried Frailty Scale, the incidence of unexpected shrinking was the lowest (19.4%, 39/201). In the frailty group, the frailty combination with the highest incidence was slow walking speed+low physical activity+exhaustion, which was 19.2% (10/52). The logistic regression model showed that advanced age (OR=1.062, 95%CI: 1.005-1.123), history of acute rejection (OR=16.776, 95%CI: 2.288-123.028), increased neutrophil/lymphocyte ratio (NLR) (OR=2.096, 95%CI: 1.158-3.792), and comorbidity (OR=10.600, 95%CI: 1.828-61.482) were risk factors for frailty among kidney transplant recipients, and high serum albumin level (OR=0.623, 95%CI: 0.488-0.795) was a protective factor. The CART decision tree grew in three layers with four terminal nodes, and three explanatory variables were screened out: serum albumin, NLR, and age. The accuracy, sensitivity, and specificity of the logistic regression model were 87.1% (95%CI: 82.5%-91.7%), 69.2% (95%CI: 54.7%-80.9%), and 93.3% (95%CI: 87.7%-96.6%), respectively. The area under the ROC curve (AUC) of the logistic regression model was 0.951 (95%CI: 0.923-0.978). The accuracy, sensitivity, and specificity of the CART decision tree model were 91.0% (95%CI: 87.0%-95.0%), 82.7% (95%CI: 69.2%-91.3%), and 94.0% (95%CI: 88.5%-97.0%), respectively. The AUC of the CART decision tree model was 0.883 (95%CI: 0.819-0.948). Conclusions: The prevalence of frailty among kidney transplant recipients in this study is 25.9%. Advanced age, history of acute rejection, low serum albumin level, increased NLR, and comorbidity are likely to be associated with the long-term frailty among kidney transplant recipients.

Olfaction as a risk factor and biomarker for frailty

Olfaction as a risk factor and biomarker for frailty

Characteristics of Frailty in Perimenopausal Women with Long COVID-19.

The aim of this study was to compare the prevalence of risk factors for frailty between perimenopausal women with long COVID-19 syndrome, women having successfully recovered from COVID-19, and controls from the community. Women with a diagnosis of long COVID-19 and at least one symptom related to the perimenopausal period, women who had successfully recovered from COVID-19, and healthy women of comparable age were included in this study. Symptom severity and functional disability were assessed with the COVID-19 Yorkshire Rehabilitation Scale, and the presence of frailty was evaluated considering the Fried criteria. A total of 195 women were included in the study, distributed over the three groups. The long COVID-19 group showed a higher prevalence of perimenopausal symptoms and impact of COVID-19. Statistically significant differences were found between the long COVID-19 group and the other two groups for the frailty variables. When studying the associations between frailty variables and COVID-19 symptom impact, significant positive correlations were found. Perimenopausal women with long COVID-19 syndrome present more frailty-related factors and experience a higher range of debilitating ongoing symptoms. A significant relationship is shown to exist between long COVID-19 syndrome-related disability and symptoms and frailty variables, resulting in an increased chance of presenting disability.

Prevalence and risk factors of pre-frailty and frailty in maintenance haemodialysis patients in China: A cross-sectional Study.

To examine the prevalence and risk factors of pre-frailty and frailty in maintenance haemodialysis patients in China. A cross-sectional study. From January to July 2017, using the convenience sampling method, a total of 503 maintenance haemodialysis patients from six hospitals in Lianyungang, China, were recruited for this study. The participants' socio-demographic, lifestyle factors and health information were assessed using a general information questionnaire. Frailty was evaluated based on the Fried frailty phenotype. Multi-categorical logistic regression was performed to examine factors associated with pre-frailty and frailty in this population, including age, sex, living alone, employment, educational level, body mass index, per capita monthly household income, smoking status, exercise status, primary diagnosis, dialysis age, frequency of dialysis, vascular access, congestive heart failure, other cardiac diseases, cerebrovascular disease, peripheral blood diseases, pain, albumin level and haemoglobin level. Among the 503 participants with an average age of 53.02 years (standard deviation 14.99), 178 had pre-frailty (35.3%) and were mostly young and middle-aged. The prevalence of pre-frailty among participants <60 years old was more than 40%. Regression analysis showed that lack of exercise, dialysis age ≤12 months, congestive heart failure and other cardiac diseases were positively associated with pre-frailty. Two hundred and eighteen participants were frail (43.3%), most of whom were aged ≥60. The prevalence of frailty in participants ≥60 was 71.4%. Regression analysis showed that advanced age, being female, obesity, low per capita monthly household income, lack of exercise, diabetes as the primary disease, dialysis age ≤12 months, congestive heart failure, other cardiac diseases, pain and low albumin level, were positively associated with frailty. In addition, more than half of the participants hardly exercised (64.6%), while lack of exercise was a risk factor for pre-frailty and frailty. A third of the participants had pain (33.4%), while pain was an independent risk factor for pre-frailty and frailty in these participants. Pre-frailty and frailty are common in patients with maintenance haemodialysis. Most of the elderly maintenance haemodialysis patients are frail, and most of the young and middle-aged patients are pre-frail. Clinicians should actively screen the pre-frailty and frailty among patients with maintenance haemodialysis, especially those with dialysis age ≤12 months. Many factors affect pre-frailty and frailty in this population. Tailored intervention measures should be designed and implemented based on these factors, giving priority to exercise guidance and pain management for patients to help them prevent or reverse pre-frailty and frailty.

Investigation and analysis of frailty and nutrition status in older adult patients with hip fracture.

To analyze the current situation of frailty and the main influencing factors of frailty of older patients with hip fracture. Using a fixed-point consecutive sampling method, we investigated older adult patients with hip fracture aged ≥60 years who were hospitalized in an orthopedic ward of a tertiary hospital from January 2021 to March 2022. We also assessed the prevalence of frailty and malnutrition by trial of the fatigue, resistance, aerobic capacity, illnesses, and loss of weight (FRAIL) scale and the Global Leadership Initiative on Malnutrition criteria to analyze the factors influencing frailty. A total of 216 older adult patients with hip fracture were collected, 106 (49.08%) were frail, 72 (33.33%) were prefrail, 38 (17.59%) were nonfrail, 103 (47.69%) were at overall nutrition risk, and 76 (35.19%) were malnourished. The results of bivariate correlation analysis showed that frailty score was correlated with age, the Activity of Daily Living Scale (ADL) score, body mass index (BMI), C-reactive protein, hemoglobin (Hb), serum albumin (ALB), and serum prealbumin, and was negatively correlated with ADL score, BMI, Hb, and ALB (r = -0.399, -0.420, -0.195, -0.283, respectively; P < 0.05). The results of multiple linear regression analysis showed that age, number of underlying diseases, ADL score, BMI score, and nutrition status were important influencing factors of frailty (P < 0.05). Older adult patients with hip fracture are frail and prefrail, with a high prevalence of malnutrition. Advanced age, combined underlying diseases, and a low BMI score were risk factors for preoperative frailty.

Two-year longitudinal associations between nutritional status and frailty in community-dwelling older adults: Korean Frailty and Aging Cohort Study

BackgroundKorea is expected to become a super-aged society in 2026, and improving nutritional status, which is directly related to health problems, is therefore important for increasing healthy life expectancy. Frailty is the most complex phenotype of aging, and leads to adverse health outcomes, disability, poor quality of life, hospitalization, and mortality. Malnutrition is a major risk factor for frailty syndrome. This study aimed to investigate the incidence of pre-frailty or frailty in the second wave (T2, 2018–2019) according to general characteristics and nutritional status in the first wave (T1, 2016–2017); and examine the longitudinal association of nutritional status in T1 and the incidence of pre-frailty or frailty in T2 among older adults living in a community.MethodsA secondary data analysis was performed using the Korean Frailty and Aging Cohort Study (KFACS). Participants comprised 1125 community-dwelling older Korean adults aged 70–84 years (mean age: 75.03 ± 3.56 years; 53.8% males). Frailty was assessed using the Fried frailty index, and nutritional status was assessed using the Korean version of the Mini Nutritional Assessment Short-Form and blood nutritional biomarkers. Binary logistic regression was used to identify longitudinal associations between the nutritional status at T1 and pre-frailty or frailty at T2.ResultsOver the two-year follow-up period, 32.9% and 1.7% of the participants became pre-frail and frail, respectively. After the potential confounders were adjusted (sociodemographic, health behaviors, and health status characteristics), pre-frailty or frailty had a significant longitudinal association with severe anorexia (adjusted odds ratio [AOR], 4.17; 95% confidence interval [CI], 1.05–16.54), moderate anorexia (AOR, 2.31; 95% CI, 1.46–3.64), psychological stress or acute disease (AOR, 2.61; 95% CI, 1.26–5.39), and body mass index (BMI) less than 19 (AOR, 4.11; 95% CI, 1.20–14.04).ConclusionsAnorexia, psychological stress, acute disease, and low BMI are the most significant longitudinal risk factors for pre-frailty or frailty in older adults. As nutritional risk factors may be preventable or modifiable, it is important to develop interventions targeting the same. Community-based health professionals in health-related fields should recognize and manage these indicators appropriately to prevent frailty among older adults living in the community.

Frailty and sarcopenia within the earliest national Dutch childhood cancer survivor cohort (DCCSS-LATER): a cross-sectional study.

Childhood cancer survivors appear to be at increased risk of frailty and sarcopenia, but evidence on the occurrence of and high-risk groups for these aging phenotypes is scarce, especially in European survivors. The aim of this cross-sectional study was to assess the prevalence of and explore risk factors for pre-frailty, frailty, and sarcopenia in a national cohort of Dutch childhood cancer survivors diagnosed between 1963 and 2001. Eligible individuals (alive at the time of study, living in the Netherlands, age 18-45 years, and had not previously declined to participate in a late-effects study) from the Dutch Childhood Cancer Survivor Study (DCCSS-LATER) cohort were invited to take part in this cross-sectional study. We defined pre-frailty and frailty according to modified Fried criteria, and sarcopenia according to the European Working Group on Sarcopenia in Older People 2 definition. Associations between these conditions and demographic and treatment-related as well as endocrine and lifestyle-related factors were estimated with two separate multivariable logistic regression models in survivors with any frailty measurement or complete sarcopenia measurements. 3996 adult survivors of the DCCSS-LATER cohort were invited to participate in this cross-sectional study. 1993 non-participants were excluded due to lack of response or a decline to participate and 2003 (50·1%) childhood cancer survivors aged 18-45 years were included. 1114 (55·6%) participants had complete frailty measurements and 1472 (73·5%) participants had complete sarcopenia measurements. Mean age at participation was 33·1 years (SD 7·2). 1037 (51·8%) participants were male, 966 (48·2%) were female, and none were transgender. In survivors with complete frailty measurements or complete sarcopenia measurements, the percentage of pre-frailty was 20·3% (95% CI 18·0-22·7), frailty was 7·4% (6·0-9·0), and sarcopenia was 4·4% (3·5-5·6). In the models for pre-frailty, underweight (odds ratio [OR] 3·38 [95% CI 1·92-5·95]) and obesity (OR 1·67 [1·14-2·43]), cranial irradiation (OR 2·07 [1·47-2·93]), total body irradiation (OR 3·17 [1·77-5·70]), cisplatin dose of at least 600 mg/m2 (OR 3·75 [1·82-7·74]), growth hormone deficiency (OR 2·25 [1·23-4·09]), hyperthyroidism (OR 3·72 [1·63-8·47]), bone mineral density (Z score ≤-1 and >-2, OR 1·80 [95% CI 1·31-2·47]; Z score ≤-2, OR 3·37 [2·20-5·15]), and folic acid deficiency (OR 1·87 [1·31-2·68]) were considered significant. For frailty, associated factors included age at diagnosis between 10-18 years (OR 1·94 [95% CI 1·19-3·16]), underweight (OR 3·09 [1·42-6·69]), cranial irradiation (OR 2·65 [1·59-4·34]), total body irradiation (OR 3·28 [1·48-7·28]), cisplatin dose of at least 600 mg/m2 (OR 3·93 [1·45-10·67]), higher carboplatin doses (per g/m2; OR 1·15 [1·02-1·31]), cyclophosphamide equivalent dose of at least 20 g/m2 (OR 3·90 [1·65-9·24]), hyperthyroidism (OR 2·87 [1·06-7·76]), bone mineral density Z score ≤-2 (OR 2·85 [1·54-5·29]), and folic acid deficiency (OR 2·04 [1·20-3·46]). Male sex (OR 4·56 [95%CI 2·26-9·17]), lower BMI (continuous, OR 0·52 [0·45-0·60]), cranial irradiation (OR 3·87 [1·80-8·31]), total body irradiation (OR 4·52 [1·67-12·20]), hypogonadism (OR 3·96 [1·40-11·18]), growth hormone deficiency (OR 4·66 [1·44-15·15]), and vitamin B12 deficiency (OR 6·26 [2·17-1·81]) were significantly associated with sarcopenia. Our findings show that frailty and sarcopenia occur already at a mean age of 33 years in childhood cancer survivors. Early recognition and interventions for endocrine disorders and dietary deficiencies could be important in minimising the risk of pre-frailty, frailty, and sarcopenia in this population. Children Cancer-free Foundation, KiKaRoW, Dutch Cancer Society, ODAS Foundation.

A moderated mediation analysis of depression and age on the relationship between resilience and frailty among HIV-positive adults.

Given the continuing challenges frailty poses among people living with human immunodeficiency virus (HIV) (PLHIV), accumulating evidence suggests that frailty is linked to psychological factors. However, the mutual influences of resilience, depression, and frailty have not yet been clarified. This study aimed to identify the potential mechanistic pathway through which psychological factors mitigate frailty. Data were collected from June to August 2019 by trained investigators through face-to-face interviews with 375 HIV-positive Chinese adults. Each participant completed structured questionnaires to collect data in respect of their socio-demographic characteristics, and levels of frailty, depression, and resilience. These assessment measures included a self-designed questionnaire, the Tilburg Frailty Indicator (TFI), the 10-item Center for Epidemiological Studies Depression Scale (CES-D-10), and the 10-item Connor-Davidson Resilience Scale (CD-RISC-10). SPSS PROCESS macro was used to analyze the mediation and moderated mediation models. The overall prevalence of frailty was 26.4%, and the prevalence of frailty among older and younger adults living with HIV was 22 and 31.4%, respectively. Mediation analysis showed that an association between resilience and frailty was mediated by depression, whereas resilience did not mediate the relationship between depression and frailty. Compared to physical frailty, depression was a stronger mediator of resilience to psychological frailty. We further found that age moderated the indirect effect of resilience on psychological frailty, with resilience being a stronger negative predictor of depression and depression being a stronger positive predictor of psychological frailty for older PLHIV than for younger PLHIV. Lower levels of resilience and greater levels of depression may be significant risk factors for frailty among PLHIV. Levels of resilience influenced frailty directly and frailty was indirectly affected by depression. Therefore, it is recommended that PLHIV, especially older patients, should be encouraged to establish positive psychological coping strategies to slow the progression of frailty.

Effect of frailty status on mortality risk among Chinese community-dwelling older adults: a prospective cohort study

BackgroundFrailty is associated with mortality among older adults. We aimed to determine the appropriate time and frailty index (FI) threshold for frailty intervention in Chinese community-dwelling older adults.MethodsIn this prospective cohort study, we used data from the 2011 wave of the Chinese Longitudinal Healthy Longevity Study. Follow-up was performed for seven years from baseline. Using the FI to evaluate frailty and define frailty status, we explored the best time point and FI score for frailty intervention, by comparing the relationships of FI and frailty status with mortality.ResultsFrom 2011 to 2018, 8642 participants were included and followed-up. A total of 4458 participants died during the study period. After adjusting for variables such as age, sex, marital status, education level, and living conditions, the hazard ratio (HR) of mortality risk based on the FI at baseline was 37.484 (95% confidence interval [CI]: 30.217–46.498; P < 0.001); female sex, living in the city, being married, and living with spouse were found to be protective factors, whereas ageing was a risk factor for frailty. The mortality risk was higher in pre-frail than in frail participants (HR: 3.588, 95% CI: 3.212–4.009, P < 0.001). Piecewise linear regression analysis revealed an FI score threshold of 0.5. When the FI score was > 0.5, the HR of mortality based on the FI was 15.758 (95% CI: 3.656–67.924; P < 0.001); when the FI score was ≤ 0.5, the HR of mortality based on the FI was 48.944 (95% CI: 36.162–66.244; P < 0.001).ConclusionUsing FI as a continuous variable to predict death is more accurate than frailty status. The advancement of early interventions for mortality risk reduction is more beneficial in pre-frail than in frail patients, and an FI score of 0.5 was found to be the threshold for mortality prediction using the FI.

Childhood growth, current age, and waist circumference predict biological reserve capacity, physical performance, and rapid aging in Bangladeshi women

Background: The UK Bangladeshi community is socially disadvantaged, and many adults suffer from obesity, diabetes, and other chronic illnesses. Rapid aging has been noted.&#x0D; Objectives: Analyse biosocial trade-offs in growth, adult body composition, and reproduction, which are risk factors for age-related decline in physical performance, more rapid aging, frailty, and death.&#x0D; Methods: Sample: 40 Bangladeshi mothers (40-70 years old), one of their adult daughters (N=37, 18-36 years old) in the United Kingdom (UK), and 22 mother-daughter pairs of the same age range in Bangladesh (BD). Measurements: anthropometry, including knee height, migration, demographic history, education level, current menstruation (yes/no), and a 7-component lower body physical function score (PFS). Analysis: ridge regression and St Nikolas House Analysis (SNHA).&#x0D; Results: All the women are of short stature (x̄=150cm), with especially low knee height. Daughters who migrated to the UK have shorter knee height than daughters born in the UK. Marriage age was 16-18 years and total pregnancies of ~6 per mother, ~3 per daughter. UK mothers have higher fatness and lower PFS than BD women. Greater knee height predicts greater PFS, and that greater waist circumference and older age predict a lower PFS. SNHA finds that knee height is the most direct predictor of PFS.&#x0D; Conclusion: Adult knee height may serve as a sensitive indicator of early life physical and emotional well-being and predict physical performance, a risk factor for frailty and death. International migration of daughters is associated with poorer health status and physical performance at later ages.

Epidemiological status and associated factors of frailty and pre-frailty in older adults with asthma in China: A national cross-sectional study.

There are few studies on the prevalence and factors associated with frailty and pre-frailty in older adults with asthma worldwide. The aim of this study was to examine the epidemiological status and factors associated with frailty and pre-frailty in older adults with asthma in China. Data were obtained from the Sample Survey of Aged Population in Urban and Rural China in 2015, a nationwide cross-sectional survey covering 224,142 older people aged 60 years or older in 31 provinces/autonomous regions/municipalities in mainland China. We performed frailty and pre-frailty assessments using the frailty index, and the diagnosis of asthma in the older adults was self-reported based on the history of the physician's diagnosis. Nine thousand four hundred sixteen older adults with asthma were included in the study. The age-sex standardized prevalence of frailty and pre-frailty in Chinese older adults with asthma was 35.8% (95% CI 34.8%-36.7%) and 54.5% (95% CI 53.5%-55.5%). Multinomial logistic regression analysis showed that increased age, female, illiteracy, living alone, poor economic status, ADL disability, comorbid chronic diseases, previous hospitalization in the past year, and residence in northern China were associated with frailty and pre-frailty in older adults with asthma. The prevalence of frailty and pre-frailty in Chinese older adults with asthma is very high, and assessment of frailty should become routine in the management of older adults with asthma. Appropriate public health prevention strategies based on identified risk factors for frailty in older adults with asthma should be developed to reduce the burden of frailty in Chinese older adults with asthma.

Prediction of Risk of Frailty Among Institutionalized Older Adults in India.

Frailty is a state of age-related physiological vulnerability resulting from impaired homeostatic reserve and a reduced capacity of the individual to withstand stress and an independent predictor of deleterious health outcomes among the aged. Early identification of people who are at risk for frailty is vital in preventing and minimizing its socio-economic consequences in low-resource countries like India. However, risk factors for frailty among Indian institutionalized older adults have been seldom explored. The objective of this study is to develop a prediction model for the risk of frailty among institutionalized older adults. This study adopted a case-control design, wherein institutionalized adults were categorized into frail and non-frail, using Fried's criteria. Individuals above 55 years of age who could follow instructions without severe motor and cognitive impairment and terminal illness were recruited from nine conveniently selected institutions. Socio-demographic, lifestyle, behavioral, and physical performance factors were evaluated by including hundred participants. Among the fourteen independent variables, age, cognition, income, functional mobility, polypharmacy and presence of more than 3 comorbidities were significant in univariate analysis. But adjusted odds ratio showed a statistical significance for low educational status, low income, poor functional mobility, and presence of more than 3 co-morbidities only, hence they were used for developing the prediction model. Low education status, low income, poor functional mobility, and presence of more than 3 comorbidities were found to have a significant association with the risk of frailty. A model has been developed to predict the risk and early identification of frailty among institutionalized older adults.

Abstract P151: Late-Life Prediabetes, Diabetes, and Diabetes Duration With Risks of Frailty and Mortality: The Atherosclerosis Risk in Communities (ARIC) Study

Introduction: Diabetes is a risk factor for frailty and mortality. Longer diabetes duration is associated with higher mortality in older adults, whereas prediabetes is not. Little has been characterized on associations of prediabetes and diabetes duration with frailty risk. Characterizing frailty and mortality risk in older adults with prediabetes and diabetes is useful for planning healthcare resource utilization. Hypothesis: Longer diabetes duration, but not prediabetes, is associated with higher risks of frailty and mortality in older adults. Methods: We conducted a prospective analysis of 4119 ARIC Study participants (mean age 75, 56% women, 22% Black adults) who attended visit 5 (2011-3) without prevalent frailty and who attended visit 6 (2016-7) or died without attending visit 6. We used the Fried phenotype to classify frailty based on ≥3 components: unintentional weight loss, exhaustion, grip strength, slow walking speed, low physical activity. We used multinomial logistic regression to estimate relative risk ratios (RRR) for baseline categories of normoglycemia (HbA1c&lt;5.7%), prediabetes (HbA1c 5.7-&lt;6.5%), or diabetes duration &lt;5, 5-&lt;10, or ≥10 years with incident frailty and death. Results: Over 5 years of follow-up, there were 851 deaths and 229 frailty cases detected at visit 6. The 5-year cumulative incidence of frailty was 3% in older adults without diabetes and 5% in those with diabetes, and the 5-year mortality risk was 15% in older adults without diabetes and 25% in those with diabetes. Compared to those with normoglycemia, older adults with diabetes ≥10 years had higher risk of frailty or mortality after multivariable adjustment ( Table ). Older adults with prediabetes did not have higher risk of frailty or death. Conclusion: In older adults, longer diabetes duration was associated with high risks of frailty and mortality, whereas prediabetes was not associated with frailty and mortality. Older adults with long-standing diabetes should be targeted for frailty screening and preventive interventions.

Analysis of systolic and diastolic blood pressure variability in frail, pre-frail, and non-frail elderly patients: The relationship between frailty syndrome and blood pressure variability in the elderly.

Frailty can change the prognosis and treatment approach of chronic diseases. We, therefore, conducted this study to explore the relationship between frailty syndrome and blood pressure variability in the elderly. The clinical data of 150 elderly patients with debilitating syndrome admitted to the neurology department of our hospital from May 2021 to May 2022 were selected, and they were grouped according to Fried debilitation scale and divided into 50 cases each in the debilitation group, pre-debilitation group, and no-debilitation group. The general data, co-morbidities, medications, and biochemical indexes were collected. The 24-hour ambulatory blood pressure monitoring was performed in each group, and the mean systolic blood pressure, diastolic blood pressure, nocturnal systolic load value, and diastolic load value were analyzed to determine the relationship between blood pressure variability and senile frailty. Serum albumin (ALB) and high-density lipoprotein were significantly lower in the debilitated and pre-debilitated groups than in the non-debilitated group (P < .05). Multivariate logistic regression analysis revealed that age (odds ratio [OR]: 3.910, 95% confidence intervals [CI]: 2.021-5.402) was a risk factor for frailty in the elderly, and serum ALB (OR: 0.656, 95% CI: 0.110-0.960) and HDL (OR: 0.581, 95% CI: 0.237-0.944) were protective factors for frailty in the elderly. Age, type of medication taken, co-morbidities, serum ALB, and HDL are influencing factors of debilitating syndrome. Serum ALB and HDL are protective factors against debilitating syndrome in the elderly. Age is an independent risk factor of debilitation in the elderly and increased fluctuation of blood pressure in the elderly can increase their risk of developing debilitating syndrome.

Digital Health Service for Identification of Frailty Risk Factors in Community-Dwelling Older Adults: The SUNFRAIL+ Study Protocol

This article reports the study protocol of a nationwide multicentric study in seven Italian regions aimed at assessing the effectiveness of a digitally supported approach for the early screening of frailty risk factors in community-dwelling older adults. SUNFRAIL+ is a prospective observational cohort study aimed at carrying out a multidimensional assessment of community-dwelling older adults through an IT platform, which allows to connect the items of the SUNFRAIL frailty assessment tool with a cascading multidimensional in-depth assessment of the bio-psycho-social domains of frailty. Seven centers in seven Italian regions will administer the SUNFRAIL questionnaire to 100 older adults. According to the answers provided by older adults, they will be subjected to one or more validated in-depth scale tests in order to perform further diagnostic or dimensional evaluations. The study aims to contribute to the implementation and validation of a multiprofessional and multistakeholder service model for the screening of frailty in community-dwelling older adult population.

Risk and Protective Factors for Frailty in Pre-Frail and Frail Older Adults.

This study aims to evaluate the differences in body composition, physical function, and physical activity between pre-frail/frail older adults and to detect risk and protective factors against frailty and physical frailty. Fried's criteria for frailty and physical frailty using the short-performance physical battery (SPPB) were measured in 179 older participants (75.3 ± 6.4 years old). Body weight, height, and waist, arm, and leg circumferences were obtained as body composition variables. Daily accelerometer outcomes (physical activity and inactivity) were obtained. Pre-frail participants showed overall better physical function and spent more time in physical activity and less time in long inactivity periods than frail participants (p < 0.05). Risk frailty factors were higher waist perimeter (Odds Ratio [OR]: 1.032, 95%CI: 1.003-1.062), low leg performance (OR: 1.025, 95%CI: 1.008-1.043), and inactivity periods longer than 30 min (OR:1.002, 95%CI: 1.000-1.005). Protective factors were standing balance (OR:0.908, 95%CI: 0.831-0.992) and SPPB score (OR: 0.908, 95%CI: 0.831-0.992) for frailty, handgrip strength (OR: 0.902, 95%CI: 0.844-0.964) for physical frailty, and light (OR: 0.986, 95%CI: 0.976-0.996) and moderate-to-vigorous (OR: 0.983, 95%CI: 0.972-0.996) physical activity for both. Our findings suggest that handgrip strength, balance, and physical activity are protective frailty factors and can be monitored in pre-frail older adults. Moreover, poor lower body performance and long inactivity periods are frailty risk factors, which highlights their importance in frailty assessment.