Multimorbidity due to chronic noncommunicable diseases in older adults: a population-based study
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Geriatria e Gerontologia |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232019000600212 |
Resumo: | Abstract Objective: To estimate the prevalence of multimorbidity arising from chronic noncommunicable diseases among older residents of the northeast of Brazil and to analyze its association with sociodemographic, behavioral and anthropometric factors. Method: A cross-sectional study was carried out with 3,141 older participants of the National Health Survey (2013). The dependent variable was multimorbidity, and the independent variables were sociodemographic, behavioral and anthropometric indicators. Descriptive, bivariate analyzes and logistic regression models were applied. Results: The prevalence of multimorbidity was 23.7%, with the state of Alagoas having the highest prevalence (27.2%). The occurrence of multimorbidity was associated with the female sex (OR=1.33; p=0.002), age over 80 years (OR=1.35; p=0.019) and being overweight (OR =1.37 p= 0.001). The protective factors were brown skin color (OR=0.79; p=0.013) and low weight (OR =0.71; p=0.017). Conclusion: The prevalence of multimorbidity in community-dwelling older adults in the northeast of Brazil was almost one quarter of the study population, with the state of Alagoas having the highest prevalence. Sex, age, skin color and being overweight were associated with the outcome. Knowledge of these factors can guide health care in the prevention, control and reduction of complications of these diseases, and support the strengthening of health education strategies and policies. |
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Multimorbidity due to chronic noncommunicable diseases in older adults: a population-based studyAgingChronic DiseaseMultimorbidityAbstract Objective: To estimate the prevalence of multimorbidity arising from chronic noncommunicable diseases among older residents of the northeast of Brazil and to analyze its association with sociodemographic, behavioral and anthropometric factors. Method: A cross-sectional study was carried out with 3,141 older participants of the National Health Survey (2013). The dependent variable was multimorbidity, and the independent variables were sociodemographic, behavioral and anthropometric indicators. Descriptive, bivariate analyzes and logistic regression models were applied. Results: The prevalence of multimorbidity was 23.7%, with the state of Alagoas having the highest prevalence (27.2%). The occurrence of multimorbidity was associated with the female sex (OR=1.33; p=0.002), age over 80 years (OR=1.35; p=0.019) and being overweight (OR =1.37 p= 0.001). The protective factors were brown skin color (OR=0.79; p=0.013) and low weight (OR =0.71; p=0.017). Conclusion: The prevalence of multimorbidity in community-dwelling older adults in the northeast of Brazil was almost one quarter of the study population, with the state of Alagoas having the highest prevalence. Sex, age, skin color and being overweight were associated with the outcome. Knowledge of these factors can guide health care in the prevention, control and reduction of complications of these diseases, and support the strengthening of health education strategies and policies.Universidade do Estado do Rio Janeiro2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232019000600212Revista Brasileira de Geriatria e Gerontologia v.22 n.6 2019reponame:Revista Brasileira de Geriatria e Gerontologiainstname:Universidade do Estado do Rio de Janeiro (UERJ)instacron:UFRJ10.1590/1981-22562019022.190253info:eu-repo/semantics/openAccessLeite,Bruna CardosoOliveira-Figueiredo,Danielle Samara Tavares deRocha,Fabiana LucenaNogueira,Matheus Figueiredoeng2020-07-08T00:00:00Zoai:scielo:S1809-98232019000600212Revistahttp://revista.unati.uerj.br/scielo.php?script=sci_serial&pid=1809-9823&lng=pt&nrm=isohttps://old.scielo.br/oai/scielo-oai.php||revistabgg@gmail.com1981-22561809-9823opendoar:2020-07-08T00:00Revista Brasileira de Geriatria e Gerontologia - Universidade do Estado do Rio de Janeiro (UERJ)false |
dc.title.none.fl_str_mv |
Multimorbidity due to chronic noncommunicable diseases in older adults: a population-based study |
title |
Multimorbidity due to chronic noncommunicable diseases in older adults: a population-based study |
spellingShingle |
Multimorbidity due to chronic noncommunicable diseases in older adults: a population-based study Leite,Bruna Cardoso Aging Chronic Disease Multimorbidity |
title_short |
Multimorbidity due to chronic noncommunicable diseases in older adults: a population-based study |
title_full |
Multimorbidity due to chronic noncommunicable diseases in older adults: a population-based study |
title_fullStr |
Multimorbidity due to chronic noncommunicable diseases in older adults: a population-based study |
title_full_unstemmed |
Multimorbidity due to chronic noncommunicable diseases in older adults: a population-based study |
title_sort |
Multimorbidity due to chronic noncommunicable diseases in older adults: a population-based study |
author |
Leite,Bruna Cardoso |
author_facet |
Leite,Bruna Cardoso Oliveira-Figueiredo,Danielle Samara Tavares de Rocha,Fabiana Lucena Nogueira,Matheus Figueiredo |
author_role |
author |
author2 |
Oliveira-Figueiredo,Danielle Samara Tavares de Rocha,Fabiana Lucena Nogueira,Matheus Figueiredo |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Leite,Bruna Cardoso Oliveira-Figueiredo,Danielle Samara Tavares de Rocha,Fabiana Lucena Nogueira,Matheus Figueiredo |
dc.subject.por.fl_str_mv |
Aging Chronic Disease Multimorbidity |
topic |
Aging Chronic Disease Multimorbidity |
description |
Abstract Objective: To estimate the prevalence of multimorbidity arising from chronic noncommunicable diseases among older residents of the northeast of Brazil and to analyze its association with sociodemographic, behavioral and anthropometric factors. Method: A cross-sectional study was carried out with 3,141 older participants of the National Health Survey (2013). The dependent variable was multimorbidity, and the independent variables were sociodemographic, behavioral and anthropometric indicators. Descriptive, bivariate analyzes and logistic regression models were applied. Results: The prevalence of multimorbidity was 23.7%, with the state of Alagoas having the highest prevalence (27.2%). The occurrence of multimorbidity was associated with the female sex (OR=1.33; p=0.002), age over 80 years (OR=1.35; p=0.019) and being overweight (OR =1.37 p= 0.001). The protective factors were brown skin color (OR=0.79; p=0.013) and low weight (OR =0.71; p=0.017). Conclusion: The prevalence of multimorbidity in community-dwelling older adults in the northeast of Brazil was almost one quarter of the study population, with the state of Alagoas having the highest prevalence. Sex, age, skin color and being overweight were associated with the outcome. Knowledge of these factors can guide health care in the prevention, control and reduction of complications of these diseases, and support the strengthening of health education strategies and policies. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232019000600212 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232019000600212 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1981-22562019022.190253 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Universidade do Estado do Rio Janeiro |
publisher.none.fl_str_mv |
Universidade do Estado do Rio Janeiro |
dc.source.none.fl_str_mv |
Revista Brasileira de Geriatria e Gerontologia v.22 n.6 2019 reponame:Revista Brasileira de Geriatria e Gerontologia instname:Universidade do Estado do Rio de Janeiro (UERJ) instacron:UFRJ |
instname_str |
Universidade do Estado do Rio de Janeiro (UERJ) |
instacron_str |
UFRJ |
institution |
UFRJ |
reponame_str |
Revista Brasileira de Geriatria e Gerontologia |
collection |
Revista Brasileira de Geriatria e Gerontologia |
repository.name.fl_str_mv |
Revista Brasileira de Geriatria e Gerontologia - Universidade do Estado do Rio de Janeiro (UERJ) |
repository.mail.fl_str_mv |
||revistabgg@gmail.com |
_version_ |
1750128437156118528 |