Predictors of happiness among retired from urban and rural areas in Brazil
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Psicologia (Universidade Federal do Rio Grande do Sul. Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-79722017000103101 |
Resumo: | Abstract This study compared differences in degree of happiness, social support, activities performed, and health and economic situation among retirees from urban and rural areas in Minas Gerais State in Brazil. The influences of these predictors over individuals’ level of happiness were also analyzed. We included 279 retired individuals living in Abre Campo (a municipality with a population fewer than 20,000 inhabitants, which is considered a rural area) and in Belo Horizonte (a municipality with a population of almost 2.5 million inhabitants, which is considered an urban area). Participants responded to a questionnaire that included scales of happiness, social support, diversity of activities, and issues about satisfaction with health and economic situation. Retirees from the urban area had a higher happiness level than retirees from the rural area (β= 0.16). The most important predictors of happiness were health (β= 0.42), social support (β= 0.26), and economic situation (β= 0.15), but no moderation effects of urban and rural areas were found. Our findings support the implementation of actions to offer financial planning before retirement and to stimulate social support and health promotion for retirees, particularly given the importance of these factors in perception of happiness. |
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Psicologia (Universidade Federal do Rio Grande do Sul. Online) |
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Predictors of happiness among retired from urban and rural areas in BrazilRetirementHappinessRural areaUrban areaAbstract This study compared differences in degree of happiness, social support, activities performed, and health and economic situation among retirees from urban and rural areas in Minas Gerais State in Brazil. The influences of these predictors over individuals’ level of happiness were also analyzed. We included 279 retired individuals living in Abre Campo (a municipality with a population fewer than 20,000 inhabitants, which is considered a rural area) and in Belo Horizonte (a municipality with a population of almost 2.5 million inhabitants, which is considered an urban area). Participants responded to a questionnaire that included scales of happiness, social support, diversity of activities, and issues about satisfaction with health and economic situation. Retirees from the urban area had a higher happiness level than retirees from the rural area (β= 0.16). The most important predictors of happiness were health (β= 0.42), social support (β= 0.26), and economic situation (β= 0.15), but no moderation effects of urban and rural areas were found. Our findings support the implementation of actions to offer financial planning before retirement and to stimulate social support and health promotion for retirees, particularly given the importance of these factors in perception of happiness.Curso de Pós-Graduação em Psicologia da Universidade Federal do Rio Grande do Sul2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-79722017000103101Psicologia: Reflexão e Crítica v.30 2017reponame:Psicologia (Universidade Federal do Rio Grande do Sul. Online)instname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGS10.1186/s41155-016-0055-3info:eu-repo/semantics/openAccessAmorim,Silvia MirandaFrança,Lucia Helena de F. P.Valentini,Felipeeng2017-03-23T00:00:00Zoai:scielo:S0102-79722017000103101Revistahttps://www.scielo.br/j/prc/ONGhttps://old.scielo.br/oai/scielo-oai.phpprc@springeropen.com1678-71530102-7972opendoar:2017-03-23T00:00Psicologia (Universidade Federal do Rio Grande do Sul. Online) - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.none.fl_str_mv |
Predictors of happiness among retired from urban and rural areas in Brazil |
title |
Predictors of happiness among retired from urban and rural areas in Brazil |
spellingShingle |
Predictors of happiness among retired from urban and rural areas in Brazil Amorim,Silvia Miranda Retirement Happiness Rural area Urban area |
title_short |
Predictors of happiness among retired from urban and rural areas in Brazil |
title_full |
Predictors of happiness among retired from urban and rural areas in Brazil |
title_fullStr |
Predictors of happiness among retired from urban and rural areas in Brazil |
title_full_unstemmed |
Predictors of happiness among retired from urban and rural areas in Brazil |
title_sort |
Predictors of happiness among retired from urban and rural areas in Brazil |
author |
Amorim,Silvia Miranda |
author_facet |
Amorim,Silvia Miranda França,Lucia Helena de F. P. Valentini,Felipe |
author_role |
author |
author2 |
França,Lucia Helena de F. P. Valentini,Felipe |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Amorim,Silvia Miranda França,Lucia Helena de F. P. Valentini,Felipe |
dc.subject.por.fl_str_mv |
Retirement Happiness Rural area Urban area |
topic |
Retirement Happiness Rural area Urban area |
description |
Abstract This study compared differences in degree of happiness, social support, activities performed, and health and economic situation among retirees from urban and rural areas in Minas Gerais State in Brazil. The influences of these predictors over individuals’ level of happiness were also analyzed. We included 279 retired individuals living in Abre Campo (a municipality with a population fewer than 20,000 inhabitants, which is considered a rural area) and in Belo Horizonte (a municipality with a population of almost 2.5 million inhabitants, which is considered an urban area). Participants responded to a questionnaire that included scales of happiness, social support, diversity of activities, and issues about satisfaction with health and economic situation. Retirees from the urban area had a higher happiness level than retirees from the rural area (β= 0.16). The most important predictors of happiness were health (β= 0.42), social support (β= 0.26), and economic situation (β= 0.15), but no moderation effects of urban and rural areas were found. Our findings support the implementation of actions to offer financial planning before retirement and to stimulate social support and health promotion for retirees, particularly given the importance of these factors in perception of happiness. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 |
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=S0102-79722017000103101 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-79722017000103101 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1186/s41155-016-0055-3 |
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 |
Curso de Pós-Graduação em Psicologia da Universidade Federal do Rio Grande do Sul |
publisher.none.fl_str_mv |
Curso de Pós-Graduação em Psicologia da Universidade Federal do Rio Grande do Sul |
dc.source.none.fl_str_mv |
Psicologia: Reflexão e Crítica v.30 2017 reponame:Psicologia (Universidade Federal do Rio Grande do Sul. Online) instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
instname_str |
Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Psicologia (Universidade Federal do Rio Grande do Sul. Online) |
collection |
Psicologia (Universidade Federal do Rio Grande do Sul. Online) |
repository.name.fl_str_mv |
Psicologia (Universidade Federal do Rio Grande do Sul. Online) - Universidade Federal do Rio Grande do Sul (UFRGS) |
repository.mail.fl_str_mv |
prc@springeropen.com |
_version_ |
1750134866601574400 |