Latent Class Analysis: a new vision of the phenomenon of depression in elderly men in the Brazilian Northeast
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
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=S1809-98232017000600814 |
Resumo: | Abstract Objective: to identify the prevalence of depression in elderly men and associated factors using Latent Class Analysis. Method: a cross-sectional, epidemiological study evaluating 162 Primary Care users resident in the community in Recife, Brazil, was carried out. The Yesavage Geriatric Depression Scale was used as a screening instrument. The study was based on descriptive analysis and Latent Class Analysis, which allows the indirect measurement of the phenomenon of Depression by measuring the latent phenomenon of depression through 15 directly observed questions/answers from the scale used followed by ordinal logistic regression. Results: Elderly men with up to four years of schooling had a 2.43 times greater chance of developing depression. Those with normal levels of cortisol were less likely to become depressed while elderly men with low levels of Vitamin D and testosterone and high levels of thyroid stimulating hormones (TSH) were more likely to be depressed. The prevalence of the highest level of depression in the study population was 29% and was associated with low levels of education and alterations in the clinical data investigated. Conclusion: The study concluded that Latent Class Analysis allowed an innovative perspective of the phenomenon of depression and its relationship with associated factors, allowing a better and broader approach to this phenomenon in clinical practice. |
id |
UFRJ-10_8f4e17a174f6820d6ab7072b49300ab5 |
---|---|
oai_identifier_str |
oai:scielo:S1809-98232017000600814 |
network_acronym_str |
UFRJ-10 |
network_name_str |
Revista Brasileira de Geriatria e Gerontologia |
repository_id_str |
|
spelling |
Latent Class Analysis: a new vision of the phenomenon of depression in elderly men in the Brazilian NortheastMen's HealthElderlyDepressionEpidemiologyLogistic ModelsAbstract Objective: to identify the prevalence of depression in elderly men and associated factors using Latent Class Analysis. Method: a cross-sectional, epidemiological study evaluating 162 Primary Care users resident in the community in Recife, Brazil, was carried out. The Yesavage Geriatric Depression Scale was used as a screening instrument. The study was based on descriptive analysis and Latent Class Analysis, which allows the indirect measurement of the phenomenon of Depression by measuring the latent phenomenon of depression through 15 directly observed questions/answers from the scale used followed by ordinal logistic regression. Results: Elderly men with up to four years of schooling had a 2.43 times greater chance of developing depression. Those with normal levels of cortisol were less likely to become depressed while elderly men with low levels of Vitamin D and testosterone and high levels of thyroid stimulating hormones (TSH) were more likely to be depressed. The prevalence of the highest level of depression in the study population was 29% and was associated with low levels of education and alterations in the clinical data investigated. Conclusion: The study concluded that Latent Class Analysis allowed an innovative perspective of the phenomenon of depression and its relationship with associated factors, allowing a better and broader approach to this phenomenon in clinical practice.Universidade do Estado do Rio Janeiro2017-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232017000600814Revista Brasileira de Geriatria e Gerontologia v.20 n.6 2017reponame:Revista Brasileira de Geriatria e Gerontologiainstname:Universidade do Estado do Rio de Janeiro (UERJ)instacron:UFRJ10.1590/1981-22562017020.160159info:eu-repo/semantics/openAccessLeão,Rita de Cássia HoffmannSilva,Vanessa de LimaMoreira,Rafael da Silveiraeng2018-01-31T00:00:00Zoai:scielo:S1809-98232017000600814Revistahttp://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:2018-01-31T00:00Revista Brasileira de Geriatria e Gerontologia - Universidade do Estado do Rio de Janeiro (UERJ)false |
dc.title.none.fl_str_mv |
Latent Class Analysis: a new vision of the phenomenon of depression in elderly men in the Brazilian Northeast |
title |
Latent Class Analysis: a new vision of the phenomenon of depression in elderly men in the Brazilian Northeast |
spellingShingle |
Latent Class Analysis: a new vision of the phenomenon of depression in elderly men in the Brazilian Northeast Leão,Rita de Cássia Hoffmann Men's Health Elderly Depression Epidemiology Logistic Models |
title_short |
Latent Class Analysis: a new vision of the phenomenon of depression in elderly men in the Brazilian Northeast |
title_full |
Latent Class Analysis: a new vision of the phenomenon of depression in elderly men in the Brazilian Northeast |
title_fullStr |
Latent Class Analysis: a new vision of the phenomenon of depression in elderly men in the Brazilian Northeast |
title_full_unstemmed |
Latent Class Analysis: a new vision of the phenomenon of depression in elderly men in the Brazilian Northeast |
title_sort |
Latent Class Analysis: a new vision of the phenomenon of depression in elderly men in the Brazilian Northeast |
author |
Leão,Rita de Cássia Hoffmann |
author_facet |
Leão,Rita de Cássia Hoffmann Silva,Vanessa de Lima Moreira,Rafael da Silveira |
author_role |
author |
author2 |
Silva,Vanessa de Lima Moreira,Rafael da Silveira |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Leão,Rita de Cássia Hoffmann Silva,Vanessa de Lima Moreira,Rafael da Silveira |
dc.subject.por.fl_str_mv |
Men's Health Elderly Depression Epidemiology Logistic Models |
topic |
Men's Health Elderly Depression Epidemiology Logistic Models |
description |
Abstract Objective: to identify the prevalence of depression in elderly men and associated factors using Latent Class Analysis. Method: a cross-sectional, epidemiological study evaluating 162 Primary Care users resident in the community in Recife, Brazil, was carried out. The Yesavage Geriatric Depression Scale was used as a screening instrument. The study was based on descriptive analysis and Latent Class Analysis, which allows the indirect measurement of the phenomenon of Depression by measuring the latent phenomenon of depression through 15 directly observed questions/answers from the scale used followed by ordinal logistic regression. Results: Elderly men with up to four years of schooling had a 2.43 times greater chance of developing depression. Those with normal levels of cortisol were less likely to become depressed while elderly men with low levels of Vitamin D and testosterone and high levels of thyroid stimulating hormones (TSH) were more likely to be depressed. The prevalence of the highest level of depression in the study population was 29% and was associated with low levels of education and alterations in the clinical data investigated. Conclusion: The study concluded that Latent Class Analysis allowed an innovative perspective of the phenomenon of depression and its relationship with associated factors, allowing a better and broader approach to this phenomenon in clinical practice. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-12-01 |
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=S1809-98232017000600814 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232017000600814 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1981-22562017020.160159 |
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.20 n.6 2017 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_ |
1750128436346617856 |