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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Main Authors: Maria da Graça Oliveira Crossetti, Michele Antunes, Beatriz Ferreira Waldman, Margarita Ana Rubin Unicovsky, Lucas Henrique de Rosso, Letice Dalla Lana
Format: Article
Language:English
Published: Universidade Federal do Rio Grande do Sul 2018-09-01
Series:Revista Gaúcha de Enfermagem
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1983-14472018000100441&lng=en&tlng=en
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spelling 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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