Factors associated with frailty syndrome in the rural elderly

Llano, Patrí­cia Mirapalheta Pereira de; Lange, Celmira; Sequeira, Carlos; Jardim, Vanda Maria da Rosa; Castro, Denise Somavila Przylynski; Santos, Fernanda dos

doi:10.1590/0034-7167-2017-0079

Cited by 22 publications

(28 citation statements)

References 12 publications

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“…There are studies about vulnerability and fragility, but most of them do not analyze the factors associated with each condition independently (8)(9)(10)(11) . Thus, studies capable of tracking vulnerable elderly people, identifying the frail elderly and evaluating the associated aspects in each condition are needed.…”

Section: Introductionmentioning

confidence: 99%

Factors associated with vulnerability and fragility in the elderly: a cross-sectional study

et al. 2022

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Objectives: to assess factors associated with vulnerability and fragility in the elderly. Methods: crosssectional study with 384 elderly people in Fortaleza, Ceará. The Vulnerable Elders Survey and Clinical-Functional Vulnerability Index - 20 were used. Chi-square and Fisher’s exact tests were used for associations. In the analysis of the combined influence of risk factors, the stepwise logistic regression and multinomial regression methods were adopted. Results: 251 (65.4%) non-vulnerable and 133 (34.6%) vulnerable elders. From the vulnerable elders analyzed, 42 (30.9%) are at high risk for frailty. Factors associated with vulnerability: age, gender, presence of comorbidities, hypertension, diabetes, osteoporosis and use of polypharmacy. There is a 30% increase in the chance of vulnerability for each additional drug. Physical activity reduces the chance of vulnerability by 60%. Factors associated with frailty: educational level; self-perception of health; comorbidities; polypharmacy. Conclusions: it is important to pay attention to the presence of arterial hypertension, osteoporosis, polypharmacy, and encourage the practice of physical activity.

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Section: Introductionmentioning

confidence: 99%

Factors associated with vulnerability and fragility in the elderly: a cross-sectional study

et al. 2022

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“…Open access process, 8 shows a series of environment-related characteristics, such as limited educational resources, limited accessibility of healthcare services and resources, lower socioeconomic status, and all of these potential factors may cause the emergence or advancement of frailty. 9 10 Many countries have explored the prevalence of frailty in rural elderly and the results are quite different, for example the prevalence of frailty is 43.4% in Brazil, 8 15.2% in Sri Lanka, 11 38.8% in India, 12 18.8% in France 13 and even in the same country, the prevalence of frailty varies greatly due to differences in assessment tools, research environments and so on. A recent meta-analysis on prevalence of frailty including 62 countries across the world reported the prevalence of frailty and pre-frailty were 12% and 46%, respectively, using the tool of Fried phenotype (FP).…”

Section: Introductionmentioning

confidence: 99%

Prevalence and risk factors of frailty among people in rural areas: a systematic review and meta-analysis

Guo

et al. 2021

BMJ Open

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ObjectiveOlder people in rural areas are possibly more frail due to the limited medical resources and lower socioeconomic status. Given the negative healthy outcomes caused by frailty, knowing the epidemiology of frailty in rural areas is of great importance. We tried to synthesise the existing evidences for the prevalence and risk factors of frailty in rural areas.DesignA systematic review and meta-analysis.Data sourcesPubMed, Embase, MEDLINE, Cochrane Library, Web of Science and Scopus were used to identify the articles from inception to 30 April 2019.Eligibility criteriaObservational studies providing cross-sectional data on the prevalence of frailty in rural elderly were extracted.Data extraction and synthesisTwo independent investigators selected studies, extracted data and assessed the methodological quality of included studies. The pool prevalence of frailty was calculated by the random effects model and the OR and 95% CI were used to calculate the risk factors.ResultsThe literature search yielded 2219 articles, of which 23 met the study criteria and were included in this analysis. The pooled prevalence of frailty and pre-frailty were 18% (95% CI 15% to 21%, I2=98.5%, p<0.001) and 50% (95% CI 45% to 56%, I2=98.4%, p<0.001), respectively. The pooled frailty prevalence was 15% for the Fried Phenotype, 18% for the Frailty Index and 23% for other criteria. The pooled prevalence of frailty was 17% for males and 26% for females. The pooled prevalence of frailty was 17% in developing countries and 23% in developed countries. Age, cognitive impairment, depressive symptom, risk of malnutrition, activity of daily living (ADL) disability and poor self-perception of health were associated with frailty. There was no publication bias.ConclusionsFrailty influences almost one in five older people in rural areas, and increasing age, cognitive impairment, depressive symptom, risk of malnutrition, ADL disability and poor self-perception of health were all risk factors for frailty. We should be cautious about the research results due to the heterogeneity between studies.

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Section: Implications Of Self-reported Fragility On the Quality Of Life Of Older Adults: A Cross-sectional Studymentioning

confidence: 99%

“…Therefore, human aging is a natural (2) and inevitable (3) reality. In old age, a set of pathophysiological changes occurs (3) due to the diversity of cellular and molecular damage that occurs in the body over time. As a result, there is an increase in the individual's risk of developing comorbidities, physical and cognitive limitations, dependence and geriatric syndromes (2) .…”

Section: Implications Of Self-reported Fragility On the Quality Of Life Of Older Adults: A Cross-sectional Studymentioning

confidence: 99%

Implications of self-reported fragility on the quality of life of older adults: a cross-sectional study

Júnior

Cruz

Silva

et al. 2021

Rev. esc. enferm. USP

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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.

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Factors associated with frailty syndrome in the rural elderly

Cited by 22 publications

References 12 publications

Factors associated with vulnerability and fragility in the elderly: a cross-sectional study

Factors associated with vulnerability and fragility in the elderly: a cross-sectional study

Prevalence and risk factors of frailty among people in rural areas: a systematic review and meta-analysis

Implications of self-reported fragility on the quality of life of older adults: a cross-sectional study

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