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Objective: To assess the morbidity profile and identify factors associated with frailty syndrome in post-COVID-19 elderly patients treated at the only Reference Center for Elderly Health Care in northern Minas Gerais., Methods: This is a case series study, utilizing the Clinical-Functional Vulnerability Index-20 (CFVI-20) and Comprehensive Geriatric Assessment (CGA) to characterize and evaluate the health condition of the group. To define the variables associated with frailty, a multivariate analysis was conducted., Results: The study included 204 elderly individuals, with a predominance of females (63.7%). The variables associated with frailty were cognitive impairment (OR: 2.95; 95% CI: 1.12-7.80; p=0.029), the presence of five or more comorbidities (OR: 11.55; 95% CI: 2.22-60.01; p=0.004), and impairment in instrumental activities of daily living (OR: 41.97; 95% CI: 5.47-321.93; p<0.001)., Conclusions: The results of this study highlight the need for a well-established and prepared coordination of integrated care to meet the demands of the post-COVID-19 elderly population.

To investigate the elements of the social network associated with frailty syndrome in older Brazilian adults., Baseline data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil, 2015-2016) were used. Frailty was defined by the Fried phenotype (unintentional weight loss, exhaustion, weakness, slowness, and low level of physical activity). The social network was assessed using the conceptual model of Berkman and Krishna (social network structure, characteristics of social network ties, social support, and negative social interaction). Potential confounding variables included sociodemographic (age, sex, education, self-reported race, per capita family income, and place of residence) and health characteristics (polypharmacy, multimorbidity, depression, falls, hospitalization, and cognitive function). Analyses were based on multinomial logistic regression., Among the 8,629 participants, 53.5% were pre-frail individuals and 9.1% were frail individuals. The elements of the social network that were consistently associated with pre-frailty and frailty were the following: characteristics of social network ties, social support, and negative social interaction. A positive association was found for less-than-weekly frequency of virtual contact with sons and daughters (OR = 1.15; 95%CI 1.01-1.33 for pre-frailty and OR = 1.51; 95%CI 1.13-2.02 for frailty) and for loneliness (OR = 1.36; 95%CI 1.19-1.56 for pre-frailty and OR = 1.40; 95%CI 1.12-1.75 for frailty). A negative association was found for social support (help with loans) (OR = 0.75; 95%CI 0.60-0.94 for pre-frailty and OR = 0.54; 95%CI 0.40-0.74 for frailty). However, the perception of criticism was only associated with frailty (OR = 1.35; 95%CI 1.11-1.64)., Social network is an important element for reducing/preventing frailty in older adults. Therefore, public policies and health and social assistance professionals should encompass the older adults' social network regarding the characteristics of social network ties, social support, and negative social interaction.

Based on a national representative sample of the population aged 50 years or older, this study aimed to estimate the prevalence of frailty among men and women, identify associated sociodemographic and health factors, and estimate the population attributable fraction. Data from the second wave (2019-2021) of the Brazilian Longitudinal Study of Aging (ELSI-Brazil) were used. Frailty was classified based on the number of positive items among unintentional weight loss, exhaustion, low level of physical activity, slow gait, and weakness. The main analyses were based on multinomial logistic regression stratified by sex. The prevalence of frailty was lower in men (8.6%; 95%CI: 6.9; 10.7) than in women (11.9%; 95%CI: 9.6; 14.8), with the most frequent item being the low level of physical activity in both. Age and schooling level were the sociodemographic factors associated with pre-frailty and fragility among men and women. The population attributable fraction was different for frailty between genders. In men, the highest population attributable fraction was due to not having a partner (23.5%; 95%CI: 7.7; 39.2) and low schooling level (18.2%; 95%CI: 6.6; 29,7). In women, higher population attributable fraction values were due to memory deficit (17.1%; 95%CI: 7.6; 26.6), vision deficit (13.4%; 95%CI: 5.1; 21.7), and diabetes mellitus (11.4%; 95%CI: 4.6; 18,1). Similar population attributable fraction levels were observed for heart disease (8.9%; 95%CI: 3.8; 14.1 in women and 8.8%; 95%CI: 2.0; 15.6 in men). Strategies aimed at physical activity have the potential to prevent frailty in both men and women, and the prevention of chronic conditions is more important in women.

Objective: To describe the functional clinical profile of elderly people linked to primary health care, using the Functional Clinical Vulnerability Index (IVCF-20) and to spatialize those with the greatest functional decline by primary health care units in the municipality of Uberlândia, in the state of Minas Gerais (MG), in the year 2022., Methods: A cross-sectional study with secondary data from the Municipal Health Department of Uberlândia-MG. The variables were compared using Student's t-test, Mann Whitney test, Pearson's chi-square, and multinomial logistic regression to obtain the independent effect of each variable. The significance level adopted was 5% (p < 0.05). The georeferenced database in ArcGIS® was used., Results: 47,182 older adults were evaluated with a mean age of 70.3 years (60 to 113 years), 27,138 of whom were women (57.52%), with a clear predominance of low-risk or robust older adults (69.40%). However, 11.09% are high-risk older adults and 19.52% are at risk of frailty. Older men had independently lower odds of moderate and high risk compared to older women (OR = 0.53; p < 0.001). A high prevalence of polypharmacy was observed, 21.40% of the older adult population, particularly in frail older adults, with a prevalence of 63.08%. There was a greater distribution of frail older adults around the central region of the municipality and in health units with a larger coverage area. The IVCF-20 made it possible to screen frailty in primary health care., Conclusion: The instrument is capable of stratifying the risk of older adults in health care networks through primary health care, enabling the application of individualized preventive, promotional, palliative, or rehabilitative interventions, according to the clinical functional stratum of the older adult and the compromised functional domains. Risk stratification and spatial distribution of the frailest older adults can be a good strategy for qualifying health professionals with the aim of maximizing the autonomy and independence of the older adults.

Objective: To analyze the relationship between hospitalization and the occurrence of delirium in older adults with physical frailty., Method: Cross-sectional study carried out in a public hospital in southern Brazil. Hospitalized older adults aged ≥ 60 years participated. Sociodemographic and clinical data were collected, physical frailty phenotype tests were performed and the Confusion Assessment Method was used. Descriptive analyzes were carried out and odds ratio values were estimated for the frailty and delirium variables., Results: Of the 320 older adults evaluated, 21.14% presented delirium, 49% were identified as pre-frail and 36.2% as frail. Of those affected by delirium, 71.6% were classified as frail and 28.3% as pre-frail (p < 0.001). An association was observed between the occurrence of delirium and frailty (OR 1.22; 95% CI 1.07 to 1.38), age ≥ 80 years (OR 1.14; 95% CI 1.01 to 1.32), epilepsy (OR 1.38; 95% CI 1.09 to 1.76), dementia (OR 1.58; 95% CI 1.37 to 1.82), and history of stroke (OR 1.14; 95% CI 1.03 to 1.26)., Conclusion: There was a high frequency of pre-frail and frail older adults, and the occurrence of delirium in frail was significantly higher. Special attention should be paid to frail older adults to prevent the occurrence of delirium during hospitalization.

Objective: to relate Frailty Syndrome and sarcopenia in older adults with and without type 2 diabetes mellitus and identify potential risk factors for frailty and sarcopenia., Method: this descriptive epidemiological study was conducted with 140 older adults in the municipality of Sinop, Mato Grosso, Brazil. The frailty phenotype was used for the assessment of Frailty Syndrome, and a physical assessment questionnaire with calf circumference measurement was used for the assessment of sarcopenia., Results: regarding Frailty Syndrome, a higher percentage was observed in older adults with type 2 diabetes mellitus compared to those without the disease (p = 0.00). Concerning the presence of sarcopenia, older adults with and without type 2 diabetes mellitus showed similar values, with no statistical significance (p = .74). Frailty Syndrome was associated with physical inactivity (95%CI: 3.29-56.55), age over 75 years (95%CI: 3.30- 27.82), low family income (95%CI: 1.80-50.98), and comorbidities (95%CI: 4.90-5.40). However, sarcopenia was associated with the presence of physical inactivity (95%CI: 1.26-10.44), low weight/ eutrophic (95%CI: 3.32-26.76), and malnutrition/nutritional risk (95%CI: 1.30-7.70) for older adults with and without type 2 diabetes mellitus., Conclusion: older adults with diabetes have a higher vulnerability to develop Frailty Syndrome, necessitating the adoption of preventive measures in primary healthcare.

Introduction: Frailty and its association with chronic kidney disease (CKD) has been established previously. The present study examined this association further by studying the distribution of frailty among groups defined by different stages of the disease. It also identified associated health deficits and explored their association with estimated glomerular filtration rate (eGFR) and urine albumin creatinine ratio (UACR)., Methods: A cross-sectional survey was conducted on 90 non-dialysis dependent CKD Stage 1-4 patients, recruited in three stratified groups of 30 participants each based on the stage of disease. Frailty was assessed using Fried's frailty criteria and associated health deficits were recorded using a pre-determined list. Depression was screened using a 4-point depression scale., Results: 21.1% of the participants were frail and 43.3% were pre-frail. The proportion of frailty in CKD groups A (Stages 1 and 2), B (Stage 3a), and C (Stages 3b and 4) was 10%, 13.3%, and 40%, respectively. The association of health deficits including co-morbidities, physical parameters, mental status, daily activities, etc. with UACR, eGFR, and CKD stages was not statistically significant. Nearly one in two frail participants was depressed compared with 14% among non-frail participants., Conclusion: The skewed distribution of 21% frail subjects identified in our study indicates an association between frailty and advancing kidney disease. Frail individuals had a lower eGFR, higher UACR, were more likely to be depressed, and had higher count of health deficits and poorer performance on Barthel Index of Activities of Daily Living and WHOQOL. Early identification of depression would improve care in these patients.

Objectives: to assess the association between risk of violence and frailty syndrome among hospitalized older adults., Methods: quantitative, analytical and cross-sectional research, carried out with older adults in two university hospitals. Data collection was performed using the Brazil Old Age Schedule, Hwalek-Sengstock Elder Abuse Screening Test and Edmonton Frail Scale instruments. It was analyzed using descriptive statistics and inferential statistics., Results: risk of violence was higher among women (68.9%), over 70 years old (64.7%), with more than 3 years of study (68.9%), without relationship (67.1%), who do not work (65.1%) and with income above 1 minimum wage (65.2%). There is a significant association between risk of violence and frailty (72.3%; p<0.001) and a positive correlation between the instrument scores (r=0.350; p-value<0.001)., Conclusions: risk of violence was associated with being female and frailty. The study is expected to encourage further discussions related to the theme and nursing practice.

Objective: Compare the nursing workload according to the condition of frailty in elderly people in an intensive care unit (ICU)., Method: A cross-sectional study whose sample included patients aged ≥60 years who were hospitalized for ≥24 hours in the ICU of a university hospital in São Paulo, Brazil. The Tilburg Frailty Indicator (TFI) was used to identify frailty in elderly people and the Nursing Activities Score (NAS) was used to measure the nursing workload., Results: In a sample of 204 elderly people, frailty was found in 156 (76.5%). The elderly people contributed to high nursing workload (mean NAS 75.9) on the first day in the ICU, but frailty did not significantly change the NAS (p = 0.606) (frail 75.7 versus non-frail 76.5), either based on the mean value or the proportion of patients in each category., Conclusion: The condition of frailty in elderly people did not increase the nursing workload in the ICU.

Objective: to estimate the prevalence and synthesize diverse evidence about the relationship between frailty and delirium in hospitalized older adults., Method: a systematic review with meta-analysis in which observational studies conducted with older adults about frailty, delirium and hospitalization, were selected without time of language restrictions. The search was conducted in the MEDLINE, EMBASE, CINAHL, Scopus, Web of Science and CENTRAL databases during August 2021. The precepts set forth by the Joanna Briggs Institute (JBI) - Evidence Synthesis Groups were followed. The meta-analysis model estimated the relative risk corresponding to the prevalence of frailty and delirium. The inverse variance method for proportions was used to estimate the prevalence values and relative risks for binary outcomes., Results: initially, 1,244 articles were identified, of which 26 were included in the meta-analysis (n=13,502 participants), with 34% prevalence of frailty (95% CI:0.26-0.42; I 2=99%; t 2=0.7618, p=0) and 21% for delirium (95% CI:0.17-0,25; I 2=95%; t 2=0.3454, p<0.01). The risk for hospitalized older adults to develop delirium was 66% (RR: 1.66; 95% CI:1.23-2.22; I2=92%; t2=0.4154; p<0.01)., Conclusion: 34% prevalence of frailty and 21% of delirium in hospitalized older adults, with frailty being an independent risk factor for developing delirium, with an increased chance of 66% when compared to non-frail individuals.

Objective: To assess the level of agreement between the Subjective Frailty Assessment (SFA) and Clinical Functional Vulnerability Index (CFVI-20) for the diagnosis of frailty in older adults., Methods: A descriptive, comparative, cross-sectional study was conducted in 2018/2019 with 492 older adults at nine Family Health Strategy units in the city of Três Lagoas, state of Mato Grosso do Sul, Brazil. Frailty was assessed using the SFA and CFVI-20 in addition to a structured interview. The Wilcoxon test and Pearson's chi-squared test were used for the comparisons., Results: Agreement was 35.4%, with a Kappa coefficient of 0.11. After dichotomizing the sample into frail and non-frail individuals, agreement was 70.1%, with a Kappa coefficient of 0.41 and Cronbach's alpha coefficients of 0.61 and 0.74 for IVCF-20 and SFA, respectively. The prevalence of frailty was lower using the IVCF-20 (17.1%) compared to 59.8% using the SFA., Conclusion: Agreement regarding the classification of frailty between the two instruments ranged from low to moderate. This finding underscores the need for a standardized instrument for measuring frailty in community-dwelling older adults.

Purpose: To identify the prevalence of Frailty Syndrome in the elderly and the relationship with risk of falling., Methods: Descriptive, cross-sectional, and analytical clinical study. One hundred and one volunteers over 60 years old were submitted to audiological evaluation, Dynamic Gait Index - Brazilian brief (DGI), Timed Up and Go (TUG) and Edmonton Fragility Scale (EFE) that verified, respectively, hearing thresholds, frailty syndrome, functional and dynamic balance, and risk of falling. The simple percentual distribution, the Wilcoxon´s test and the Bivariate Correlation with Pearson's coefficient were used for statistical analysis. Limits equal to or less than 1.0 and 5.0% were adopted., Results: EFE identified 22.8% of volunteers as fragile and 22.8% as vulnerable. DGI and TUG found 34.6% and 84.1% of at risk for falls, respectively. Significant correlations between EFE and DGI (p <0.01), EFE and TUG (p <0.01), and DGI and TUG (p <0.01) were observed. Pearson's coefficient between EFE and DGI, EFE and TUG, and DGI and TUG were -0.26, -0.41, and 0.46, respectively. An association between DGI and TUG and age (p <0.01) was identified. No correlation between EFE and sex or age was found., Conclusion: Frailty and pre-frailty were identified in a significant segment of the volunteers, especially in the oldest subjects. Functional and dynamic balance were moderately correlated with frailty, which demonstrated that frailty syndrome increases the risk of falls.

This article aims to investigate the association between maximal inspiratory pressure (MIP) and maximal expiratory pressure (MEP) with the incidence of frailty syndrome (FS), in addition to testing the predictive ability of MIP and MEP to discriminate FS in elderly adults, according to sex. It is a longitudinal study with a five-year follow-up period (2014-2019), carried out with 104 elderly adults registered in the Family Health Strategy of a municipality in Bahia. The incidence of frailty syndrome was diagnosed according to criteria proposed by Fried et al., using data from 2019, after a five-year follow-up. The MIP and MEP were evaluated according to the recommendations of the Brazilian Society of Pulmonology and Phthisiology data in 2014 (baseline data). The total incidence of frailty syndrome was 16.3% (95%CI: 9.2-23.6), with 13.6% (95%CI: 4.56-22.55) in women and 20% (95%CI: 7.85-32.15) in men. The mean values of MIP and MEP were, respectively, 60,8±21,2 cmH2O and 76,7±23,1 cmH2O in women, and 79,5±27,0 cmH2O and 114,7±29,8 cmH2O in men. The frailty syndrome was associated with MEP in elderly adult men (adjusted RR: 0.96; 95%CI: 0.95-0.98; P-value: 0.002), indicating that the increase of 1cmH2O in MEP reduces by 4% the risk of developing the syndrome.

Purpose: To identify the factors associated with frailty in patients with neurodegenerative diseases., Methods: Cross-sectional study, whose sample consisted of 150 patients diagnosed with neurodegenerative diseases seen at a speech-language therapy clinic in a reference hospital in southern Brazil. A secondary exploratory analysis of the medical records of patients treated at this clinic between April 2016 and May 2019 was performed. The information collected was sex, age, education, type of neurodegenerative disease, time of disease, frailty (Edmonton Frail Scale-EFS), swallowing (Northwestern Dysphagia Patient CheckSheet-NDPCS, Eating Assessment Tool-EAT 10), and cognition (Mini-Mental State Examination-MMSE and Montreal Cognitive Assessment-MoCA). Continuous quantitative variables were analyzed using mean and standard deviation and categorical quantitative variables from absolute and relative frequency, as well as their association with the outcome using the Chi-square test. Crude and adjusted Prevalence Ratios were assessed using Poisson regression with robust variance. All statistical tests were considered significant at a level of 5%., Results: The significant factors associated with frailty were the presence of oropharyngeal dysphagia and altered cognitive performance. Individuals with frailty have a higher prevalence of oropharyngeal dysphagia (PR= 1.772(1.094-2.872)), while cognition alteration presented a lower prevalence (PR= 0.335(0.128-0.873)., Conclusion: Oropharyngeal dysphagia can be an important clinical predictive factor for consideration in cases of frailty in patients with neurodegenerative diseases.

Objective: to identify the prevalence and predictors of frailty in older people in Primary Health Care., Method: this is a descriptive and correlational study, carried out in a convenience sample of 136 older people in the community. Data were collected through a sociodemographic and clinical questionnaire and frailty phenotype. Student's t test or U-Mann-Whitney test, chi-square and binary logistic regression were used for data analysis., Results: the prevalence of frailty was 26.5% (n=36). Frail individuals had older age (p=0.011), worse self-rated health (p=0.001) and lower physical capacity (p<0.001). In the multivariable regression, it was observed that frail individuals had older age (Odds Ratio=1.111; 95% confidence interval=1.026-1.203) and worse physical capacity (Odds Ratio=0.673; 95% confidence interval=0.508-0.893)., Conclusions: the prevalence of frailty in older people in Primary Health Care was considerable. Advanced age and worse physical capacity were the most relevant predictors of frailty in the elderly.

Objective: To identify and analyze the sociodemographic and health factors and the social support network of the elderly associated with frailty in the assessments carried out between 2007/2008 and 2018., Methods: This is a longitudinal study with elderly people aged ≥65 years living in the community. The instruments used were those for Demographic Profile, the Mini Mental State Examination, the Functional Independence Measure, Lawton and Brody Scale, Geriatric Depression Scale, Minimum Relationship Map for the Elderly, and Edmonton Frail Scale. Descriptive analysis and linear regression were used, all tests with p < 0.05., Results: Of the 189 elderly in the study period (2007/2008-2018), most were 80 years old and over, with an average of 82.31 years old; they were women, with no partner, who lived with other family members and were retired. In the final analysis, regardless of age and sex, a decrease in functional independence, an increase in depressive symptoms, an increase in the number of self-reported illnesses, and an increase in the frailty score were observed., Conclusion: The factors that were associated with the increase in frailty of the elderly during the study period were age, female sex, and no partner. The health team, which includes nurses, shall be aware of changes and develop care plans to prevent or avoid their progression.

Objective: To analyze the association between self-reported fragility and quality of life in older adults., Method: Cross-sectional study carried out with Brazilian older adults between July and October 2020. Three instruments were applied to obtain bio sociodemographic, frailty data and quality of life. Data were analyzed using the Kruskal-Wallis test, Pearson correlation and multivariate linear regression, adopting a 95% confidence interval (p < 0.05)., Results: A total of 662 older adults participated. All facets of quality of life were significantly and negatively correlated with reduced strength, reduced walking speed, low physical activity, and reported fatigue, with the exception of weight loss. In the regression analysis, different frailty components were associated with quality of life, but all had a negative relationship., Conclusion: Self-reported frailty has a negative relationship with quality of life, that is, the increase in the frailty scale implies a reduction of different magnitudes in the quality of life of older adults.

Objective: To analyze the association between cognitive impairment and physical frailty in older adults in secondary health care., Method: This is a cross-sectional study carried out with people aged ≥ 60 years, assisted at a geriatric and gerontology outpatient clinic. For cognitive screening, the Mini Mental State Examination, the semantic verbal fluency test, and frailty assessment using the physical frailty phenotype were used. The likelihood ratio test was applied to the predictive model., Results: 407 older adults participated in the study. Cognitive impairment was observed in 58.5% (n=238) of the sample, being higher in frail (n=66; 75%). A change in the semantic verbal fluency test was identified in 22% (n=90), with a higher prevalence in pre-frail patients (55.5%; n=226). It was identified 2.5 times more chance of a frail older person, when compared to a non-frail one, to have cognitive impairment (95% CI, +0.947 - 0.322). The chance for alteration in the semantic verbal fluency test was 5.4 times higher in frail compared to non-frail ones (95% CI, 1.68 - 0.38)., Conclusion: A relationship was observed between cognitive impairment and physical frailty. Screening for frailty in geriatric nursing practice and the implementation of specific care is recommended.

The scope of this study was to assess the prevalence and factors associated with frailty among the elderly in Primary Health Care. It is a cross-sectional study carried out with 1750 elderly people in the Southeast of Brazil. The Brazilian Older American Resources and Services Multidimensional Functional Assessment Questionnaire (BOMFAQ) and the Clinical-Functional Vulnerability Index (CFVI) were used for data collection. Descriptive and bivariate analyzes were performed, followed by Poisson regression analysis, with robust variance, to obtain adjusted prevalence ratios (PR). The CFVI identified 357 frail elderly people (20.1%). The variables that remained statistically associated with frailty after multiple analysis were: single/widowed (PR = 1.05; 95%CI = 1.02-1.07); four years of schooling (PR = 1.05; 95%CI = 1.03-1.08); polypathology (PR = 1.05; 95%CI = 1.01-1.09); polypharmacy (PR = 1.21; 95%CI = 1.17-1.26); mental disorder (PR = 1.16; 95%CI = 1.12-1.21); cognitive impairment (PR = 1.71; 95%CI = 1.57-1.86); Daily Living Activity impairment (PR = 1.12; 95%CI = 1.09-1.14); falls (PR = 1.06; 95%CI = 1.03-1.10); hospitalization (PR = 1.39; 95%CI = 1.27-1.52); urinary incontinence and self-perception of health. The conclusion that a significant prevalence of frailty in the study reaffirms the need for a multidimensional approach to the elderly.

Objective: To compare the Edmonton Frail Scale (EFS) and Clinical-Functional Vulnerability Index-20 (CFVI-20) instruments regarding degree of agreement and correlation and compare descriptive models with frailty-associated variables in community-dwelling older people in Brazil., Methods: Cross-sectional study, nested in a population-based and household cohort. Baseline sampling was calculated based on a probabilistic approach by conglomerate in two stages. In the first stage, census tract was used as sampling unit. In the second, the number of households was defined according to the population density of individuals aged ≥ 60 years. The Kappa statistic evaluated the agreement between instruments and Pearson's coefficient their correlation. Factors associated with frailty and high risk of clinical-functional vulnerability were identified by multiple analysis of Poisson regression with robust variance., Results: Kappa statistics was 0.599 and Pearson's correlation coefficient 0.755 (p < 0.001). The EFS found a 28.2% prevalence of frailty, and the CFVI-20 found a 19.5% prevalence of high risk of clinical-functional vulnerability. Age equal to or greater than 80 years, history of stroke, polypharmacy, negative self-perceived health, fall in the past 12 months, and hospitalization in the past 12 months were variables associated with frailty in both instruments after multiple analysis. Less than four years of education, osteoarticular disease, and weight loss were associated with frailty only by EFS, and having a caregiver was associated with a high risk of clinical-functional vulnerability only by CFVI-20., Conclusions: Although the analyses show moderate agreement and strong positive correlation between the instruments, the indicated prevalence of frailty is discrepant. Our results attest the need to standardize the instrument for assessing frailty in community-dwelling older people.

The objective of this article is to determine the relationship between frailty and socio-demographic/clinical characteristics in patients with chronic kidney disease on dialysis. A cross-sectional study was conducted with 107 participants. Descriptive, correlation and logistic regression analyses were performed, with the level of significance set to 5% (p < 0.05). The prevalence of frailty was 47.66%. Frailty was negatively correlated with cognition (r = -0.30; p = 0.002), functioning on instrumental activities of daily living (r = -0.41; p = 0.000) and hematocrit level (r = -0.19; p = 0.04). The proportion of frailty increased with the age of the participants (OR = 1.03; 95%CI: 1.004-1.069; p = 0.02). Individuals with chronic kidney disease on dialysis had high percentages of frailty, which was associated with an older age and correlated with cognition, functioning on instrumental activities of daily living and a lower hemotocrit level.

This paper aimed to analyze the spatial distribution of older adults' frailty in primary health care, spatially identifying areas with a concentration of seniors, comparing the demand for care. This is an analytical study that employed spatial analysis with older adults who are frail or at risk of frailty enrolled in Primary Health Care, distributed in 32 census tracts. Concerning geolocation, we used Google Earth Pro software and "C7 GPS Data app", to elaborate the thematic and cadastral maps Qgis 2.16. In total, 43% of seniors were classified as at risk of frailty, of which 79.5% were female, with a mean age of 75 years. The organization of the services showed an unequal distribution of the facilities in the territory, and the three health care settings present or not in some tracts and the concentration of older adults where services were difficult to access. The spatial analysis pointed out the distribution and concentration areas of frailty, favoring the comparison of social vulnerability with the possible care of health services, supporting planning actions and management of the distribution of establishments or projects to visit those in need. Thus, geoinformation tools can strengthen access to health services and provide better living conditions for seniors.

Background: Usually viewed as a characteristic of old age, frailty may also occur in non-elderly people, primarily in those suffering from chronic disease. Frailty may increase operative risk., Objectives: To determine the prevalence of frailty patients undergoing coronary artery bypass (CABG) and/or heart valve replacement or reconstruction and/or heart valve surgery, as well as the influence of frailty on postoperative outcomes., Methods: Our study comprised 100 adults who underwent consecutive elective cardiac operations. Frailty was assessed using the Fried scale. Patients also performed a 6-minute walk test, and we measured maximal inspiratory and expiratory pressures. A p value <0.05 was considered significant., Results: Of a cohort of 100 patients, based on the Fried frailty criteria, 17 patients (17%) were considered frail, 70 (70%) pre-frail and only 13 (13%) were non-frail. Among patients with valvular heart disease, 11 (18.6%) were considered frail and 43 (73%) pre-frail. Fifty three percent of the patients considered frail were less than 60 years old (median=48 years old). The differences in frailty phenotype between patients with valvular heart disease and coronary artery disease were not statistically significant (p=0.305). A comparison between non-frail, pre-frail, and frail patients showed no significant difference in the distribution of comorbidities and cardiac functional status, regardless of their cardiac disease. However, hospital mortality was significantly higher in frail patients (29.4%, p=0.026) than in pre-frail patients (8.6%) and non-frail patients (0%)., Conclusions: Frailty is prevalent even among non-elderly patients undergoing CABG or valvular heart surgery and is associated with higher postoperative hospital mortality.

Objective: To assess the health profile of community-dwelling older adults, according to sex, assisted by the Elderly Caregiver Program of the City of São Paulo., Methods: Secondary data of 535 older adults, assisted by ten Elderly Caregiver Program teams from the southern region of São Paulo, were collected from medical records and the Multidimensional Evaluation of Older People in Primary Care, after verifying the inclusion and exclusion criteria for the study and obtaining subjects' consent., Results: Older adults assisted by this program were predominantly female (77.6%), mean age of 76.2±8.0 years. They had negative self-rated health (67.8%), difficulties in instrumental activities of daily living (68.4%) and signs of mood changes (60.3%). A high prevalence of older adults with vision problems (58.8%), polypharmacy (58.1%), memory-related complaints (55.8%) and multiple morbidities (50.6%) were observed. The prevalence of multiple morbidities, polypharmacy, cognitive impairment and signs of mood changes were higher in women. On the other hand, men reported more hearing problems than women., Conclusion: The poorer health conditions of the older adults in this study, evidenced by a high prevalence of subjects with negative self-rated health, difficulties in instrumental activities of daily living, multiple morbidities, polypharmacy and other complaints (sensorial changes, depressive and cognitive symptoms), reinforce the importance of this program as a long-term care policy and as a way to ensure these older adults can continue living in their communities.

The objective was to establish cutoff points per gender for the evaluation of the fragility components of elderly residents in the community. It involved a cross-sectional population-based study with 555 elderly people enrolled in the Family Health Strategies selected by proportional stratified sampling. Socioeconomic data and the components of the fragility phenotype were evaluated. Regarding the classification of fragility, 17.7% of the elderly were fragile, 45.4% pre-fragile and 36,9% non-fragile. The cutoff points established for this population were: for hand grip strength, in men and women respectively with 0 < BMI < 23 was 20.30 and 13.36; 23 < BMI < 28 was 23.52 and 16.12; 28 < BMI < 30 was 22.04 and 15.17; And 30 < BMI < 50 was 25.42 and 17.51; For gait speed, for men with < height < 1.67 was ≥ 7.08s and height > 1.68 was 6.46s; And women with < height < 1.55 were 7.60s and with height > 1.56 were 7.45s; And weekly metabolic expenditure for men was 1,603.96 and for women it was 2,182.25. The results may support health teams to assess and stratify the risk of frailty of the elderly in the community and to subsidize the planning of actions to promote, prevent and recover functional capacity.

This study aimed to associate frailty with sociodemographic profile and cognition of elderly people living in highly socially vulnerable contexts registered at a Social Assistance Referral Centers in a city of inland São Paulo. This is a cross-sectional and quantitative study with 48 elderly. Data was collected with a sociodemographic interview, the Edmonton Frail Scale and the Montreal Cognitive Assessment, and was analyzed with the Jonckheere-Terpstra test, Spearman's correlation and logistic regression (α = 5.0%). This study was approved under Opinion Nº 72182. Of the 48 elderly interviewed, 33.4% were non-frail, 20.8% were apparently vulnerable and 45.8% were frail at some level (mild, moderate or severe). Women (OR = 4.64) and nonwhites (OR = 3.99) were more likely of being frail. The realms with the greatest influence in the determination of frailty were cognition, independence and functional performance, general health and mood, although gender (p = 0.0373) and ethnicity (p = 0.0284) had a significant association. Worth highlighting is that considering the frailty profile of the elderly warrants the development of specific care strategies for this segment of the population in a vulnerable area, preventing futures complications.

Objective: To evaluate the frailty syndrome in the elderly nursing diagnosis in elderly with chronic diseases of a health district of the Federal District., Method: A quantitative, descriptive, cross-sectional study was conducted with elderly patients served at the Basic Health Units, who presented arterial hypertension and/or diabetes mellitus. The following were used: a sociodemographic questionnaire, the Mini-Mental State Examination, anthropometric data, evaluation of sarcopenia (measured by body composition), muscle strength and functional capacity, and the identification of NANDA-I nursing diagnosis. A statistical software was used for data analysis., Results: Participation of 78 elderly people, of which 93.6% of had Impaired memory, 93.6% had Impaired physical mobility, 82.1% had Fatigue, 76.9% had Impaired ambulation, 53.8% had Dressing self-care deficit, 43.6% had Activity Intolerance, 35.9% had Social Isolation, 30.8% had Hopelessness, 29.5% had Feeding self-care deficit, 29.5% had Bathing self-care deficit, 12.8% had Toileting self-care deficit, and 10.3% had Decreased cardiac output., Conclusion: The nursing diagnosis Frailty Syndrome in the Elderly allows a multidimensional view of the elderly. Since one factor can cause health problems in several health fields, nurses must intervene early, plan and implement actions in the short and long term.

Objective: To identify the factors associated with the worsening of frailty in older adults resident in the community., Methods: This is a prospective, longitudinal, and analytical study. The data collection in the baseline occurred in the participants' homes from a random sampling by conglomerates. Demographic and socioeconomic variables, morbidities, and use of health services were analyzed. Frailty was measured by the Edmonton Frail Scale. The second data collection was performed after an average period of 42 months. The adjusted prevalence ratios were obtained by multiple Poisson regression analysis with robust variance., Results: A total of 394 older adults participated in both phases of the study, with 21.8% of them presenting worsening of the frailty condition. The variables that remained statistically associated with the transition to a worse state of frailty were: polypharmacy, negative self-perception of health, weight loss, and hospitalization over the past 12 months., Conclusions: The factors associated with worsening of frailty along the studied period among older adults in the community were those related to health care. This result must be considered by health professionals when addressing frail and vulnerable older adults.

Objective: to analyze frailty prevalence and associated factors in the elderly in the city of Pelotas, RS, Brazil, in 2014., Methods: this was a cross-sectional, population-based study of a sample of individuals aged 60 years old or older; a modified version of the Edmonton Frail Scale was used to assess frailty; prevalence ratios (PR) and their 95% confidence intervals (95%CI) were estimated using Poisson regression., Results: frailty prevalence was 13.8% and was higher among individuals aged 75 years or older (PR 4.33 - 95%CI 2.94;6.39), those of the female gender (PR 1.46 - 95%CI 1.06;2.03) and those living without a partner (PR 1.54 - 95%CI 1.16;2.04); epilepsy (PR 3.58 - 95%CI 2.19;5.85), ischemia (PR 2.56 - 95%CI 2.00;3.28), and heart failure (PR 2.48 - 95%CI 1.92;3.19) were the morbidities most highly associated with frailty., Conclusion: frailty was associated with older individuals, the female gender, those living without a partner and those affected by multiple morbidities.

Objective: To verify the occurrence and factors associated to social, individual and programmatic vulnerability among older adults., Method: A household and cross-sectional survey conducted with 701 community-dwelling older adults. For evaluation of the individual component, we used the frailty phenotype; for the social component, the social vulnerability index was implemented; and for the programmatic component, the Index of access and use of health services. Descriptive and bivariate statistical analyzes and multinomial logistic regression were also carried out (p≤ 0.05)., Results: It was verified that 15.7% of the older adults lived in areas of high social vulnerability, 31.8% were physically frail and had a moderate programmatic vulnerability score. Older people of a lower age, having lower education and income levels were more likely to live in areas of high or very high social vulnerability. The female gender and the high age groups increased the chances of the frailty condition. It was also observed that the older adults in the 70├ 80-year age group and having lower education were more likely to have medium programmatic vulnerability., Conclusion: The importance of primary care professionals to consider the multidimensional aspect of vulnerability in identifying older adults who need to be prioritized in health care is evidenced.

Objective: To evaluate whether the occurrence of falls in the year preceding the interview is associated with frailty components after a four-year period., Methods: Data were obtained from the second round of the Health, Well-being and Aging SABE Study, conducted in 2006, when 1,413 elderly people were interviewed. Individuals considered weak according to the Fried model were excluded, resulting in 1,207 elderly at the study entry. The explanatory variable was taken as the falls in the year prior to the 2006 survey. In 2010, the survivors were evaluated for the five frailty components. The statistical test with correction for the sample project -(Rao-Scott) was applied to assess the association between frailty and falls at the beginning of the study., Results: Of the 1,413 individuals in the 2006 sample, 1,397 registered falls in the year before the interview and evaluation of fragility. The fragility of components for risk factors for the occurrence of falls were: (1)reduced grip strength (no falls: 21.8%; falls: 31.5%; relative risk - RR = 1.44; and p = 0.003); and (2) exhaustion (no falls: 7.6%; falls:14.7%; RR = 1.93; and p = 0.003)., Conclusion: This finding suggests longitudinal studies in order to clarify the causality of falls in the elderly, considering the aspects of temporality between exposure and the event.

Introduction: Frailty is a preventable and reversible syndrome characterized by a cumulative decline of physiological systems, causing greater vulnerability to adverse conditions., Objective: To describe the prevalence of frailty among older adults and analyze its associated factors and progression., Method: This is a longitudinal study that used the Health, Well-being, and Aging Study (Saúde, Bem-Estar e Envelhecimento - SABE) database of 2006 and 2010. Five components identified the frailty syndrome: weight loss; fatigue; decreased strength, low physical activity, and reduced walking speed. Older adults were classified as "pre-frail" (1-2 components) and "frail" (3 or more). We used a hierarchical multiple multinomial regression to analyze associated factors., Results: Out of the total number of older adults (n = 1,399), 8.5% were frail, and the associated factors were age, functional impairment, cognitive decline, hospitalization, and multimorbidity. In four years, 3.3% of non-frail and 14.7% of pre-frail older adults became frail., Conclusion: Identifying the prevalence of frailty and its associated factors can help to implement adequate interventions early to improve the quality of life of older adults.

Cardiovascular disease (CVD) is the leading cause of death in developed countries and disproportionately affects older adults. Frailty is a complex clinical syndrome with multiple causes and contributing factors in which there is increased vulnerability when exposed to a minor stressor and increased risk for adverse outcomes, such as disability, hospitalization and mortality. Frailty is an important prognostic factor in patients with CVD, and so identifying this feature when assessing these patients may help to individually tailor cardiovascular treatment. The first step is to identify frailty. Several tools have been validated as screening methods for frailty. However, they diverge with regard to complexity, nature, feasibility and the outcome they can predict. The aim of this review is to describe the available screening tools for frailty and to examine their usefulness in patients with CVD., (Copyright © 2019 Sociedade Portuguesa de Cardiologia. Publicado por Elsevier España, S.L.U. All rights reserved.)

Recurrent falls constitute a high risk for morbidity and mortality among older people, especially institutionalized individuals, due to greater frailty and functional decline in this group. The aim of this study was to identify risk factors associated with recurrent falls among institutionalized older persons. A longitudinal cohort study was conducted over a one-year period with a study sample consisting of individuals aged 60 years and over living in 10 Nursing homes (NH) who were able to walk and had preserved cognitive ability. The older persons and carers were asked about the occurrence of falls over the last twelve months. The older persons were considered recurrent fallers if they had had two or more falls during this period. Institutional, sociodemographic and health data was also collected using questionnaires and the residents' medical records. One hundred and thirty individuals were included in the sample out of a total of 364 older people living in the NH. The incidence of recurrent falls was 26.9% (CI95% = 22.4 - 31.5). The results of the chi-square test and logistic regression adopting a significance level of 0.05 showed that fatigue was a risk factor for recurrent falls(p = 0.001; RR = 2.9) and that the use of beta blockers was a protective factor (p = 0.010; RR = 0.1). It was concluded that recurrent falls are common in NH and that fatigue constitutes an important risk factor.

The purpose of present study was to analyze the magnitude of the effect-size in the assessment of the cognitive status of populations over 60 years of age. The search strategy included PubMed, B-on, Ebsco, Ebsco Health, Scielo, Eric, Lilacs and Sportdiscus data bases. Only observational, cohort and cross-sectional studies were included in the meta-analysis. The central descriptors were elderly-frail, older adults, cognition and geriatric assessment and other additional terms. After applying the additional search criteria, 12 manuscripts were selected from an initial universe of 1,078 identified. When comparing the mean cognitive profile scores of the participants of the pre-frail (n =11,265) and frail (n = 2,460) groups, significant statistical differences were found (p<0,001), with lower mean scores emerging in frail-group. The results showed that cognitive decline is strongly associated with frailty, being a probable main clinical outcome. In this sense, any strategy aimed at mitigating or reversing the incidence of frailty with ageing should take into account that physical and cognitive frailty seem to have similar temporal trajectories.

This study aims to analyze the impact of frailty, multimorbidity and disability on the survival of elderly people attended in a geriatric outpatient facility, and identify the clinical risk factors associated with death. It is a longitudinal study, with 133 elderly people initially evaluated in relation to frailty, multimorbidity (simultaneous presence of three or more chronic diseases) and disability in Daily Life Activities. The Kaplan Meier method was used to analyze survival time, and the Cox regression was used for association of the clinical factors with death. In follow-up over six years, 21.2% of the participants died, survival being lowest among those who were fragile (p < 0.05). The variables frailty (HR = 2.26; CI95%: 1.03-4.93) and Chronic Renal Insufficiency (HR = 3.00; CI95%: 1.20-7.47) were the factors of highest risk for death in the multivariate analysis. Frailty had a negative effect on the survival of these patients, but no statistically significant association was found in relation to multimorbidity or disability. Tracking of vulnerabilities in the outpatient geriatric service is important, due to the significant number of elderly people with geriatric syndromes that use this type of service, and the taking of decisions on directions for care of these individuals.

Frailty is a state of multisystem physiological vulnerability related to aging and an increased risk of adverse outcomes. This study aimed to evaluate the prevalence and associated factors of frailty in the Fibra-JF Study, Minas Gerais, Brazil. We selected a random sample of 461 individuals aged 65 years or more stratified by territorial unit, gender and age. The frailty syndrome was established by the presence of three or more of five items: a feeling of exhaustion, low handgrip strength, slow gait speed, weight loss, and low caloric expenditure. The mean age was 74.4 (SD ± 6.8) years, 69.6% were women and 71.9% white. The prevalence of frailty was 5.2%; 49.9% was from pre-frail subjects. Advanced age (OR: 6.4; CI 1.76-23.8), impairment of the basic activities of daily living (OR: 5.2, CI 1.1-23.1) and self-perception of poor health (OR: 0.13, CI 0.03-0.4) were associated with frailty. In this study, a substantial number of individuals was classified as frail, while half of the sample was at risk of progression towards this condition, suggesting that it is urgent to adopt public health measures focused on frailty prevention and reduction of associated adverse health outcomes.

Objective: to compare the frailty syndrome among elderly people living at home in two Brazilian cities and to identify factors related to sociodemographic and health-related variables., Method: population-based cross-sectional study with 480 elderly individuals from the cities of Ribeirão Preto/SP and João Pessoa/PB, with application of the Mini Mental State Examination instruments and the Edmonton Frailty, Geriatric Depression and Lawton and Brody scales. Descriptive analysis, Chi-square test, Fisher's test, Student's t-test, Spermann's correlation and Logistic regression were used. In all analyzes, the level of significance was set at p≤0.05., Results: in relation to frailty, it was verified that living in Ribeirão Preto, presenting advanced age, low schooling, multiple chronic diseases, reduced cognitive status and functional capacity, besides depressive symptoms, are factors associated with the frailty syndrome, in both cities., Conclusion: we identified that the frailty syndrome in the elderly of both cities has a relation with the place where the elderly person lives, age, schooling, number of diseases, reduction of cognitive status, functional capacity and presence of symptoms depressive.

Objective: To estimate the prevalence of frailty and to evaluate the associated factors in the non-institutionalized Brazilian population aged 50 years or older., Methods: The analyses were conducted in 8,556 participants of the baseline survey of the Longitudinal Study of Health of the Brazilian Elderly (ELSI-Brazil) conducted in 2015 and 2016. Frailty was defined based on five characteristics: weight loss, weakness, slowness, exhaustion and low level of physical activity. Participants with three or more characteristics were classified as frail. A Poisson regression model was used to examine the association between frailty and sociodemographic and health factors., Results: The prevalence of frailty was 9.0% (95%CI 8.0-10.1) among participants aged 50 years or over. Among the older adults aged 60 or over, the prevalence was 13.5% (95%CI 11.9-15.3) and 16.2% (95%CI 14.3-18.3) among those 65 aged years or over. Factors associated with higher prevalence of frailty were low schooling, residence without a partner, health conditions (poor self-rated health and two or more chronic diseases) and limitation to perform basic activities of daily living., Conclusions: The prevalence of frailty among Brazilians aged 65 years or older is similar to their European counterparts. Poor health conditions, functional limitation and low schooling emerge as the factors most strongly associated with the frailty in this population.

Objective: to present a physical frailty prediction model for oldest old users of primary health care, according to clinical variables., Method: cross-sectional study with proportional stratified sample of 243 oldest old subjects. Data were collected through a structured clinical questionnaire, handgrip strength test, walking speed, weight loss, fatigue/exhaustion, and physical activity level. For the analysis of the data, univariate and multivariate analysis by logistic regression were used (p<0.05), which resulted in prediction models. The odds ratios (95% Confidence Interval) of the models were calculated. Each model was evaluated by deviance analysis, likelihood ratios, specificity and sensitivity, considering the most adequate. All ethical and legal precepts were followed., Results: the prediction model elected was composed of metabolic diseases, dyslipidemias and hospitalization in the last 12 months., Conclusion: clinical variables interfere in the development of the physical frailty syndrome in oldest old users of basic health unit. The choice of a physical frailty regression model is the first step in the elaboration of clinical methods to evaluate the oldest old in primary care.

Introduction: In Portugal, the National Network of Continuing Integrated Care's mission is to take care of new health and social needs. The aim of the study was to know the disease burden and disability of the elderly (75 and over) cared by the integrated continuing care teams., Material and Methods: A cross-sectional study carried out in a sample of 230 participants, from 25 teams randomly selected in the region of Lisbon and Tagus Valley. Data were collected at the patient's home trough caregiver's interviewing. The variables studied were: socio-demographic; disability determinants; degree (Barthel's scale) and duration of disability; morbidity (diagnoses, number and Charlson index)., Results: The study population had: on average 84 years; low or no scholar degree level (88.7%); on average 9.5 problems per person and a Charlson index of 8.48; disability over 42 months (severe in 65.2%). The most frequent disability-determinants were: dementia, stroke and femur fracture. The most frequent diagnoses were: osteoarthritis, hypertension and dementia., Discussion: The results revealed a high disease burden (Charlson of 8.48) and disability. Although the diagnoses were those expected and comparable with the literature, their coexistence was universal, averaging 9.5 per person, affecting different organs/systems. Multimorbidity, coupled with severe disability, leads to clinical and organizational-care challenges, as well as the need for other population base studies., Conclusion: The population cared by the integrated continuing care teams is at risk: elderly, with low scholar degree level, with a high disease-burden and disability.

Objective: to know the prevalence and factors associated with frailty in elderly assisted by the Centro Mais Vida de Referência em Assistência à Saúde do Idoso (Mais Vida Health Reference Center for the Elderly) in the North of Minas Gerais, Brazil., Method: cross-sectional study, with sampling by convenience. Data collection occurred in 2015. Demographic and socioeconomic variables, morbidities, use of health services and the score of the Edmonton Frail Scale were analyzed. The adjusted prevalence ratios were obtained by multiple analysis of Poisson regression with robust variance., Results: 360 elderly aged 65 or older were evaluated. Frailty prevalence was 47.2%. The variables associated with frailty were the following: advanced age elderly, who live without a partner, have a caregiver, present depressive symptoms, osteoarticular disease, as well as history of hospitalization and falls in the last twelve months., Conclusion: knowledge of factors associated with frailty allows development of health actions aimed at the elderly.

Objective: investigating the association between frailty syndrome and sociodemographic characteristics in long-lived individuals of a community., Method: a cross-sectional study with a proportional stratified sample consisting of 243 long-lived individuals. A structured instrument, scales and tests that comprise evaluating frailty were applied for data collection. Univariate and multivariate analyzes were performed by logistic regression (p<0.05) by Statistica 10(r) software and Odds Ratio (95% Confidence Interval) were calculated for the predictive models., Results: of the 243 long-lived individuals evaluated, 36 (14.8%) were frail, 55 (63.8%) were pre-frail and 52 (21.4%) were not frail. A predominance of females (n=161; 66.3%), widows/widowers (n=158; 65%), who lived with family members (n=144; 59.3%) and in a self-reported satisfactory financial situation (n=108; 44.5%) was observed. A significant association was found between the demographic variable of age (p=0.043) and frailty syndrome. The best predictor model for the syndrome included the variables: gender, age and household companion., Conclusion: the variable of age contributed most to the fragilization process of long-lived individuals residing in the community. It is essential that gerontological nursing care contemplates early detection of this syndrome, considering age as being indicative of care needs.

The phenotype of frailty is used to assess frailty among the elderly by examining the following items: weight loss; exhaustion; low level of physical activity; weakness; and slow gait speed. The aim of the study was to evaluate the contribution of each item to determine the frailty syndrome among elderly Brazilians. The analysis was done using Multinomial Logistic Regression. The total sample of 5532 randomly selected elderly people in many cities in Brazil between December 2008 and September 2009 was assessed using the phenotype of frailty. The most frequent items were level of physical activity, followed by muscular weakness and slow gait speed. Items that were more likely to develop frailty, when positive, were slow gait speed (OR = 10.50, 95%CI 8.55 - 12.90, p <0.001) and muscular weakness (OR = 7.31, 95%CI 6,02 - 8,86, p <0.001). The final model with five items explained 99.6% of frailty in the sample. These results suggested that the level of physical activity, weakness and slow gait speed were the items that most influence the determination of frailty, however the application of all items of the phenotype of frailty is the best way to assess frailty.

The scope of this article is to identify sociodemographic and clinical factors associated with the frailty of elderly people with chronic kidney disease on hemodialysis. This involved a correlational, cross-sectional study conducted in a dialysis center in the state of São Paulo. The sample consisted of 60 participants. The Participant Characterization Instrument was used for extracting sociodemographic and clinical data and the Edmonton Frail Scale was used to evaluate the level of frailty. Multivariate logistic regression was used to identify the factors associated with frailty. The mean age of the 60 patients included was 71.1 (± 6.9) years, predominantly male (70%), of which 36.7% were classified as frail. With respect to the factors associated with frailty among the variables of gender, age, self-reported skin color, schooling, monthly per capita income, hemodialysis time, number of associated diseases, falls in the year, hematocrit level, parathyroid hormone and use of calcitriol, it was found that only the monthly per capita income was significantly associated with frailty (OR = 0.44; 95% CI 0.1-0.9; p = 0.04). There was an association between frailty and income, showing that the elderly most at risk of frailty were those with lower income.

Objectives: To identify the prevalence of frailty among inpatient older adults in a clinical hospital and check the association of the socioeconomic and clinical characteristics with the state of frailty., Method: Observational, cross-sectional and analytical study, conducted with 255 hospitalized patients. Materials used: structured instrument for the economical and clinical data and frailty phenotype of Fried. Descriptive and bivariate statistical analysis was carried out and, by means of chi-square tests and ANOVA One-way (p<0.05)., Results: The prevalence of frailty corresponded to 26.3%, while pre-frailty represented 53.3%. The highest proportion of frail seniors was identified for 80 years or older (p = 0.004), widowed (p = 0.035) and with the highest average length of stay (p = 0.006)., Conclusion: Inpatient older adults presented high percentages of frail states associated with socioeconomic variables and hospitalization period. The identification of the health conditions related to pre-frailty and frailty can foster the planning and implementation of the assistance to older adults in this context.