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 dos, Barreto, Mauricio Lima
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFBA
Texto Completo: http://repositorio.ufba.br/ri/handle/ri/19161
Resumo: Different 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 (SSSMOS). 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.
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spelling Santos, Letícia Marques dosAmorim, Leila Denise Alves FerreiraSantos, Darci Neves dosBarreto, Mauricio Lima2016-05-11T14:48:34Z2015-031096-0317http://repositorio.ufba.br/ri/handle/ri/19161v.50, n.2015, p.139–146Different 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 (SSSMOS). 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.Submitted by Maria Creuza Silva (mariakreuza@yahoo.com.br) on 2016-05-11T14:48:34Z No. of bitstreams: 1 Art Per Estrang Darci N. Santos. 2015.pdf: 236760 bytes, checksum: 76762c9dac317287d4e1ae82e2ef8b9e (MD5)Made available in DSpace on 2016-05-11T14:48:34Z (GMT). No. of bitstreams: 1 Art Per Estrang Darci N. 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dc.title.pt_BR.fl_str_mv Measuring the level of social support using latent class analysis
dc.title.alternative.pt_BR.fl_str_mv Soc. Sci. Res
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
Latent class analysis
Mental health
SSS-MOS
Social support
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 dos
Barreto, Mauricio Lima
author_role author
author2 Amorim, Leila Denise Alves Ferreira
Santos, Darci Neves dos
Barreto, Mauricio Lima
author2_role author
author
author
dc.contributor.author.fl_str_mv Santos, Letícia Marques dos
Amorim, Leila Denise Alves Ferreira
Santos, Darci Neves dos
Barreto, Mauricio Lima
dc.subject.por.fl_str_mv Latent class analysis
Mental health
SSS-MOS
Social support
topic Latent class analysis
Mental health
SSS-MOS
Social support
description Different 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 (SSSMOS). 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.
publishDate 2015
dc.date.issued.fl_str_mv 2015-03
dc.date.accessioned.fl_str_mv 2016-05-11T14:48:34Z
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dc.identifier.uri.fl_str_mv http://repositorio.ufba.br/ri/handle/ri/19161
dc.identifier.issn.none.fl_str_mv 1096-0317
dc.identifier.number.pt_BR.fl_str_mv v.50, n.2015, p.139–146
identifier_str_mv 1096-0317
v.50, n.2015, p.139–146
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dc.publisher.none.fl_str_mv Academic Press
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