Predictors of frailty in older people users of Primary Health Care

Tavares, João Manuel Ribeiro da Silva; Sá‐Couto, Pedro; Pedreira, Larissa Chaves

doi:10.1590/0034-7167-2020-1292

Cited by 4 publications

(3 citation statements)

References 27 publications

(52 reference statements)

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“…Their perception of lifestyle was also associated with frailty in all components, as well as multidimensional frailty. These results show that the older adults are aware of their condition, which is in agreement with previously conducted studies [ 6 , 29 ].…”

Section: Discussionsupporting

confidence: 93%

“…In our study, most of the older adults were frail; hence, it is in line with several published studies, namely, a study conducted in Portugal, where the prevalence of frailty, assessed by TFI, was 54.8% [ 5 ]; a study in Poland where the prevalence was 54.6% [ 18 ]; and a study in Brazil with 65.25% [ 19 ]. Researchers report that the differences are due to the different sociocultural and economic contexts associated with where the older adults people live [ 5 , 6 , 7 , 8 , 9 , 10 , 11 ].…”

Section: Discussionmentioning

confidence: 99%

“…Frailty is common among older adults. In Portugal, data concerning the prevalence of frailty among community-dwelling people, in different studies, ranged from 15.6% to 54.8%, varying according to the screening instrument used [ 3 , 4 , 5 , 6 ]. This condition deteriorates not only the functional and cognitive capacity of older adults [ 7 ], but also the quality of life of older adults themselves and their families, caregivers, and society, hence it represents a public health priority that requires an early intervention [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

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Multidimensional Frailty and Lifestyles of Community-Dwelling Older Portuguese Adults

Faria

Martins

Ribeiro

et al. 2022

IJERPH

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(1) Background: Lifestyles are referred to as conditioning factors for the frailty of older adults. However, there are few studies that explore its association. The objective of the present study is to analyze the association between sociodemographic, clinical, and lifestyle factors of older adults people with multidimensional frailty. (2) Methods: Descriptive and correlational study carried out with older adults people registered in a Health Unit in Portugal. Data were collected through a sociodemographic and clinical questionnaire and application of the Individual Lifestyle Profile and Tilburg Frailty Index to assess the lifestyles and multidimensional frailty of older adults, respectively. This last instrument, being of a multidimensional nature, assesses not only physical, but also psychological and social frailty, with a cut-off point of 6. (3) Results: Of the 300 older adults who participated, most were female (60.3%) and had a mean age of 81.34 ± 6.75 years. Moreover, 60.3% of the sample were frail older adults. Gender, marital status, number of household members, number of chronic diseases, number of daily medications, self-perception of health status and lifestyle and use of a walking device were associated with multidimensional frailty (p ≤ 0.001). Healthy eating habits, physical activity, relational behaviour, preventive behaviour, and stress management were significantly associated with lower physical, psychological, and social frailty (p ≤ 0.001). (4) Conclusions: When community health workers are aware of multidimensional frailty predictors and their components, they can intervene early and, consequently, delay the onset and progression of frailty in older adults.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multidimensional Frailty and Lifestyles of Community-Dwelling Older Portuguese Adults

Faria

Martins

Ribeiro

et al. 2022

IJERPH

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Aerobic Fitness as an Important Moderator Risk Factor for Loneliness in Physically Trained Older People: An Explanatory Case Study Using Machine Learning

Encarnação

Teixeira

Fortunato³

et al. 2023

Life

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Background: Loneliness in older people seems to have emerged as an increasingly prevalent social problem. Objective: To apply a machine learning (ML) algorithm to the task of understanding the influence of sociodemographic variables, physical fitness, physical activity levels (PAL), and sedentary behavior (SB) on the loneliness feelings of physically trained older people. Materials and Methods: The UCLA loneliness scale was used to evaluate loneliness, the Functional Fitness Test Battery was used to evaluate the correlation of sociodemographic variables, physical fitness, PAL, and SB in the loneliness feelings scores of 23 trained older people (19 women and 3 men). For this purpose, a naive Bayes ML algorithm was applied. Results: After analysis, we inferred that aerobic fitness (AF), hand grip strength (HG), and upper limb strength (ULS) comprised the most relevant variables panel to cause high participant loneliness with 100% accuracy and F-1 score. Conclusions: The naive Bayes algorithm with leave-one-out cross-validation (LOOCV) predicted loneliness in trained older with a high precision. In addition, AF was the most potent variable in reducing loneliness risk.

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Comparação De Instrumentos Para Rastreio Da Fragilidade Em Idosos Comunitários

Martins¹,

Santos²,

Costa³

et al. 2023

Rev. Contemp.

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Objetivo: Realizar uma revisão sistemática de estudos que verificam a comparação entre os instrumentos de avaliação da fragilidade. Métodos: Revisão sistemática realizada entre janeiro e março de 2023 em base eletrônica de dados (LILACS e MEDLINE). Para a construção das estratégias de busca foi utilizada uma adaptação do vocábulo acrônimo PICO, onde P = população (idosos comunitários), I: fenômeno de interesse (comparação da fragilidade por instrumentos diferentes) e CO = contexto (Atenção Primária à Saúde). Nas buscas foram considerados os termos “idoso” AND “fragilidade” AND “instrumentos” e “Elderly” AND “fragility” AND “instrument”, sendo que a seleção final resultou em 13 artigos. Resultados: A comparação entre a Escala de Fragilidade de Edmonton (EFE) e o Índice de Vulnerabilidade Clínico Funcional (IVCF-20) mostrou concordância moderada e forte correlação positiva. Todavia, a prevalência de fragilidade apontada se mostrou discrepante, sendo maior quando utilizada a EFE. Ao analisar a concordância entre a Avaliação Subjetiva da Fragilidade (SFA) e o IVCF-20, os resultados indicaram fraca concordância na classificação de fragilidade entre esses instrumentos. Entretanto, foi encontrada concordância moderada quando o desfecho foi dicotomizado em “frágil” e “não frágil”. Apesar de avaliar conceitos semelhantes, a SFA e o IVCF-20 são complementares e um não pode substituir o outro. Conclusões: Embora diversos estudos abordem diferentes instrumentos de avaliação da fragilidade, ainda há uma escassez de trabalhos que investiguem a concordância entre esses instrumentos e, além disso, os resultados apresentados reforçam a necessidade de um instrumento padronizado para medir a fragilidade em idosos na Atenção Primária à Saúde.

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Predictors of frailty in older people users of Primary Health Care

Cited by 4 publications

References 27 publications

Multidimensional Frailty and Lifestyles of Community-Dwelling Older Portuguese Adults

Multidimensional Frailty and Lifestyles of Community-Dwelling Older Portuguese Adults

Aerobic Fitness as an Important Moderator Risk Factor for Loneliness in Physically Trained Older People: An Explanatory Case Study Using Machine Learning

Comparação De Instrumentos Para Rastreio Da Fragilidade Em Idosos Comunitários

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