Perfil de idosos submetidos à avaliação geriátrica ampla em serviço de reabilitação

Rocha, Fernanda Silva; Gardenghi, Giulliano; Oliveira, Patrícia

doi:10.5020/18061230.2017.p170

Cited by 4 publications

(4 citation statements)

References 25 publications

(37 reference statements)

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“…In this study, the sociodemographic characteristics of the elderly are similar to those found in other studies with Brazilian elderly receiving outpatient care. The mean for age was of 77.7 years ( 25 ) , there was predominance of females ( 26 ) , low schooling ( 27 ) , and widowhood ( 28 ) .…”

Section: Discussionmentioning

confidence: 99%

“…The presence of low schooling among the elderly reflects the national reality. The higher the age, the lower the schooling level ( 27 ) . Specifically, among the elderly, low education predisposes to unfavorable economic conditions, since they were in the informal market throughout their lives, with no planning and investment possibilities to guarantee retirement ( 35 ) .…”

Section: Discussionmentioning

confidence: 99%

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Resilience, quality of life and symptoms of depression among elderlies receiving outpatient care

Lima

Souza

Storti

et al. 2019

Rev. Latino-Am. Enfermagem

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Objective:to analyze the relation between resilience and demographic variables, quality of life and symptoms of depression in elderlies attended at a Geriatric Outpatient Clinic.Method:analytical cross-sectional study, conducted with 148 elderlies, with a questionnaire of sociodemographic and health characterization, the Resilience Scale, the World Health Organization Quality of Life Bref, the World Health Organization Quality of Life Old, and the Center for Epidemiologic Survey - Depression Scale. Descriptive statistics, Student’s t-test and Pearson correlation were used for data analysis.Results:there was a positive correlation between resilience and schooling (r = 0.208; p = 0.010), income (r = 0.194; p = 0.017), the World Health Organization Quality of Life Bref (r = 0.242; p = 0.003), and the World Health Organization Quality of Life Old (r = 0.522; p <0.001), and negative correlation regarding symptoms of depression (r = -0.270; p = 0.001).Conclusion:Resilience presented relation to schooling, income, quality of life and symptoms of depression in the elderly. These results are expected to help the multidisciplinary team plan actions aimed at developing resilience towards the promotion of health and good quality of life in old age.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Resilience, quality of life and symptoms of depression among elderlies receiving outpatient care

Lima

Souza

Storti

et al. 2019

Rev. Latino-Am. Enfermagem

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show abstract

“…It is added that, for health services, the conditions in which people aged have a direct impact on the search for access. [3][4][5] The main negative impact of population aging is the increase in the prevalence of chronicdegenerative diseases, which are the main causes of mortality and disability worldwide, which increases the risk for hospitalization. [6][7] It is warned that another problem that has grown in the elderly population is external causes, characterized by accidents and violence and that should be the object of concern among health professionals.…”

mentioning

confidence: 99%

Perfil Epidemiológico De Pacientes Idosos Atendidos Em Um Pronto-Socorro

Silva

Martins

Souza

et al. 2020

Rev enferm UFPE on line.

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Objetivo: descrever o perfil epidemiológico do paciente idoso atendido em um pronto-socorro referência para politraumatizado. Método: trata-se de um estudo quantitativo, descritivo e transversal a ser realizado em um pronto-socorro de referência em politraumatismo. Compor-se-á a amostra pelos os idosos, isto é, os pacientes com idade igual e superior a 60 anos atendidos no período de 2009 a 2019. Armazenar-se-ão os dados em planilha do programa Excel 2010®, submetendo-os à análise descritiva pelo software Statistical Package for the Social Sciences, versão 19. Resultados esperados: espera-se contribuir com evidenciação científica sobre a demanda de acesso à saúde nos serviços de urgência e emergência por essa população, além de atender às prioridades investigativas propostas pelo Ministério da Saúde.

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“…Porciúncula et al ( 50 ) reported that older adult men are more exposed to acute lethal diseases, such as heart ischemia. The predominance of the female population among the individuals aged 80 and over has important repercussions on the demands for public policies, since various studies show that despite living longer, women are susceptible to developing functional disabilities and multiple health problems and live with them for longer ( 37 , 70 ).…”

Section: Discussionmentioning

confidence: 99%

Quality of life and socio-demographic factors associated with nutritional risk in Brazilian community-dwelling individuals aged 80 and over: cluster analysis and ensemble methods

Brech,

da Silva,

Alonso

et al. 2024

Front. Nutr.

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IntroductionThe aim of the present study was to use cluster analysis and ensemble methods to evaluate the association between quality of life, socio-demographic factors to predict nutritional risk in community-dwelling Brazilians aged 80 and over.MethodsThis cross-sectional study included 104 individuals, both sexes, from different community locations. Firstly, the participants answered the sociodemographic questionnaire, and were sampled for anthropometric data. Subsequently, the Mini-Mental State Examination (MMSE) was applied, and Mini Nutritional Assessment Questionnaire (MAN) was used to evaluate their nutritional status. Finally, quality of life (QoL) was assessed by a brief version of World Health Organizations’ Quality of Life (WHOQOL-BREF) questionnaire and its older adults’ version (WHOQOL-OLD).ResultsThe K-means algorithm was used to identify clusters of individuals regarding quality-of-life characteristics. In addition, Random Forest (RF) and eXtreme Gradient Boosting (XGBoost) algorithms were used to predict nutritional risk. Four major clusters were derived. Although there was a higher proportion of individuals aged 80 and over with nutritional risk in cluster 2 and a lower proportion in cluster 3, there was no statistically significant association. Cluster 1 showed the highest scores for psychological, social, and environmental domains, while cluster 4 exhibited the worst scores for the social and environmental domains of WHOQOL-BREF and for autonomy, past, present, and future activities, and intimacy of WHOQOL-OLD.ConclusionHandgrip, household income, and MMSE were the most important predictors of nutritional. On the other hand, sex, self-reported health, and number of teeth showed the lowest levels of influence in the construction of models to evaluate nutritional risk. Taken together, there was no association between clusters based on quality-of-life domains and nutritional risk, however, predictive models can be used as a complementary tool to evaluate nutritional risk in individuals aged 80 and over.

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Perfil de idosos submetidos à avaliação geriátrica ampla em serviço de reabilitação

Cited by 4 publications

References 25 publications

Resilience, quality of life and symptoms of depression among elderlies receiving outpatient care

Resilience, quality of life and symptoms of depression among elderlies receiving outpatient care

Perfil Epidemiológico De Pacientes Idosos Atendidos Em Um Pronto-Socorro

Quality of life and socio-demographic factors associated with nutritional risk in Brazilian community-dwelling individuals aged 80 and over: cluster analysis and ensemble methods

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