Measuring the level of social support using latent class analysis

Detalhes bibliográficos
Autor(a) principal: Santos, Letícia Marques dos
Data de Publicação: 2015
Outros Autores: Amorim, Leila Denise Alves Ferreira, Santos, Darci Neves, Barreto, Maurício Lima
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/25593
Resumo: Barreto, Maurício Lima. “Documento produzido em parceria ou por autor vinculado à Fiocruz, mas não consta à informação no documento”.
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spelling Santos, Letícia Marques dosAmorim, Leila Denise Alves FerreiraSantos, Darci NevesBarreto, Maurício Lima2018-04-03T17:35:40Z2018-04-03T17:35:40Z2015SANTOS, L. M. et al. Measuring the level of social support using latent class analysis. Social Science Research, v. 50, p. 139–146, 2015.0049-089Xhttps://www.arca.fiocruz.br/handle/icict/2559310.1016/j.ssresearch.2014.11.009Barreto, Maurício Lima. “Documento produzido em parceria ou por autor vinculado à Fiocruz, mas não consta à informação no documento”.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, BrasilUniversidade Federal da Bahia. Instituto de Matemática. Salvador, BA, BrasilUniversidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, BrasilUniversidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, BrasilDifferent instruments have been used to measure social support in epidemiological studies of which the most widely used is the Medical Outcomes Study Social Support Scale (SSS-MOS). However, these studies lack measures of the level of social support on health risks. We used latent class analysis (LCA) to distinguish subgroups with different levels of perceived social support and tested the consistency of these subgroups by their associations with the prevalence of Common Mental Disorders (CMD). This is a cross-sectional study of 1013 mothers living in the city of Salvador, Brazil in which psychosocial data were collected through home visits using the SSS-MOS and the Self Reporting Questionnaire-20. For each dimension of social support analysed here, we selected models with two classes using LCA. Multivariate logistic regression models were used to estimate the association between participants' perceived social support and the prevalence of CMD to verify the consistency of the groups defined by LCA. There was a clear difference in the reporting of perceived social support between those classified as high or low using LCA. The probability of perceiving several types of social support was lower in the subgroup classified as low level of social support (13.7-59.8%), and it was much higher in the group classified as high level of social support (84.3-98%). A greater prevalence of CMD was found among mothers with lower levels of social support. LCA seems to be a useful tool to improve measurement of perceived social support by separation into two levels in which the lower level is associated with an increased prevalence of CMD.engElsevierSuporte socialAnálise de classe latenteSaúde mentalSSS-MOSSocial supportLatent class analysisMental healthSSS-MOSMeasuring the level of social support using latent class analysisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/25593/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALSantos LM Measuring the level of social support....pdfSantos LM Measuring the level of social 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dc.title.pt_BR.fl_str_mv Measuring the level of social support using latent class analysis
title Measuring the level of social support using latent class analysis
spellingShingle Measuring the level of social support using latent class analysis
Santos, Letícia Marques dos
Suporte social
Análise de classe latente
Saúde mental
SSS-MOS
Social support
Latent class analysis
Mental health
SSS-MOS
title_short Measuring the level of social support using latent class analysis
title_full Measuring the level of social support using latent class analysis
title_fullStr Measuring the level of social support using latent class analysis
title_full_unstemmed Measuring the level of social support using latent class analysis
title_sort Measuring the level of social support using latent class analysis
author Santos, Letícia Marques dos
author_facet Santos, Letícia Marques dos
Amorim, Leila Denise Alves Ferreira
Santos, Darci Neves
Barreto, Maurício Lima
author_role author
author2 Amorim, Leila Denise Alves Ferreira
Santos, Darci Neves
Barreto, Maurício Lima
author2_role author
author
author
dc.contributor.author.fl_str_mv Santos, Letícia Marques dos
Amorim, Leila Denise Alves Ferreira
Santos, Darci Neves
Barreto, Maurício Lima
dc.subject.other.pt_BR.fl_str_mv Suporte social
Análise de classe latente
Saúde mental
SSS-MOS
topic Suporte social
Análise de classe latente
Saúde mental
SSS-MOS
Social support
Latent class analysis
Mental health
SSS-MOS
dc.subject.en.pt_BR.fl_str_mv Social support
Latent class analysis
Mental health
SSS-MOS
description Barreto, Maurício Lima. “Documento produzido em parceria ou por autor vinculado à Fiocruz, mas não consta à informação no documento”.
publishDate 2015
dc.date.issued.fl_str_mv 2015
dc.date.accessioned.fl_str_mv 2018-04-03T17:35:40Z
dc.date.available.fl_str_mv 2018-04-03T17:35:40Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.fl_str_mv SANTOS, L. M. et al. Measuring the level of social support using latent class analysis. Social Science Research, v. 50, p. 139–146, 2015.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/25593
dc.identifier.issn.pt_BR.fl_str_mv 0049-089X
dc.identifier.doi.none.fl_str_mv 10.1016/j.ssresearch.2014.11.009
identifier_str_mv SANTOS, L. M. et al. Measuring the level of social support using latent class analysis. Social Science Research, v. 50, p. 139–146, 2015.
0049-089X
10.1016/j.ssresearch.2014.11.009
url https://www.arca.fiocruz.br/handle/icict/25593
dc.language.iso.fl_str_mv eng
language eng
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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