Factors that contribute to a NANDA nursing diagnosis of risk for frail elderly syndrome
Abstract OBJECTIVE Identify the risk factors that contribute to a NANDA-I nursing diagnosis of risk for frail elderly system. METHOD Cross-sectional study with 395 elderly subjects, conducted from November 2010 to January 2013, in a university hospital in South of Brazil. Sociodemographic data wer...
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Universidade Federal do Rio Grande do Sul
2018-09-01
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doaj-0bcf96ccd65b48118e2ab70570f9d17a2020-11-24T23:39:03ZengUniversidade Federal do Rio Grande do SulRevista Gaúcha de Enfermagem 1983-14472018-09-0139010.1590/1983-1447.2018.2017-0233S1983-14472018000100441Factors that contribute to a NANDA nursing diagnosis of risk for frail elderly syndromeMaria da Graça Oliveira CrossettiMichele AntunesBeatriz Ferreira WaldmanMargarita Ana Rubin UnicovskyLucas Henrique de RossoLetice Dalla LanaAbstract OBJECTIVE Identify the risk factors that contribute to a NANDA-I nursing diagnosis of risk for frail elderly system. METHOD Cross-sectional study with 395 elderly subjects, conducted from November 2010 to January 2013, in a university hospital in South of Brazil. Sociodemographic data were collected and levels of frailty were identified according to the Edmonton Frail Scale. RESULTS A total of 177 (44.81%) participants were classified as frail. There was a significant association between frailty and being female (p=0.031), nonwhite (p=0.008), having no romantic partner (p=0.014), no schooling (p=0.001), a monthly income lower than the minimum wage (p=0.034), and preexisting morbidities for respiratory diseases (p=0.003) as well as infectious and parasitic diseases (p=0.040). Diseases of the tracts genitourinary (p=0.035), respiratory (p=0.001) and blood (p=0.035) were the primary reasons for hospitalization. CONCLUSIÓN Los resultados contribuyen para el desarrollo e implementación del diagnóstico de enfermería en estudio en el ambiente hospitalario.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1983-14472018000100441&lng=en&tlng=enFrail elderlyNursing diagnosisAgedNursing |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Maria da Graça Oliveira Crossetti Michele Antunes Beatriz Ferreira Waldman Margarita Ana Rubin Unicovsky Lucas Henrique de Rosso Letice Dalla Lana |
spellingShingle |
Maria da Graça Oliveira Crossetti Michele Antunes Beatriz Ferreira Waldman Margarita Ana Rubin Unicovsky Lucas Henrique de Rosso Letice Dalla Lana Factors that contribute to a NANDA nursing diagnosis of risk for frail elderly syndrome Revista Gaúcha de Enfermagem Frail elderly Nursing diagnosis Aged Nursing |
author_facet |
Maria da Graça Oliveira Crossetti Michele Antunes Beatriz Ferreira Waldman Margarita Ana Rubin Unicovsky Lucas Henrique de Rosso Letice Dalla Lana |
author_sort |
Maria da Graça Oliveira Crossetti |
title |
Factors that contribute to a NANDA nursing diagnosis of risk for frail elderly syndrome |
title_short |
Factors that contribute to a NANDA nursing diagnosis of risk for frail elderly syndrome |
title_full |
Factors that contribute to a NANDA nursing diagnosis of risk for frail elderly syndrome |
title_fullStr |
Factors that contribute to a NANDA nursing diagnosis of risk for frail elderly syndrome |
title_full_unstemmed |
Factors that contribute to a NANDA nursing diagnosis of risk for frail elderly syndrome |
title_sort |
factors that contribute to a nanda nursing diagnosis of risk for frail elderly syndrome |
publisher |
Universidade Federal do Rio Grande do Sul |
series |
Revista Gaúcha de Enfermagem |
issn |
1983-1447 |
publishDate |
2018-09-01 |
description |
Abstract OBJECTIVE Identify the risk factors that contribute to a NANDA-I nursing diagnosis of risk for frail elderly system. METHOD Cross-sectional study with 395 elderly subjects, conducted from November 2010 to January 2013, in a university hospital in South of Brazil. Sociodemographic data were collected and levels of frailty were identified according to the Edmonton Frail Scale. RESULTS A total of 177 (44.81%) participants were classified as frail. There was a significant association between frailty and being female (p=0.031), nonwhite (p=0.008), having no romantic partner (p=0.014), no schooling (p=0.001), a monthly income lower than the minimum wage (p=0.034), and preexisting morbidities for respiratory diseases (p=0.003) as well as infectious and parasitic diseases (p=0.040). Diseases of the tracts genitourinary (p=0.035), respiratory (p=0.001) and blood (p=0.035) were the primary reasons for hospitalization. CONCLUSIÓN Los resultados contribuyen para el desarrollo e implementación del diagnóstico de enfermería en estudio en el ambiente hospitalario. |
topic |
Frail elderly Nursing diagnosis Aged Nursing |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1983-14472018000100441&lng=en&tlng=en |
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