Homeless population: characterization and contextualization by census research
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Enfermagem (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672020000500163 |
Resumo: | ABSTRACT Objectives: to analyze characteristics of homeless people and factors associated with living on the streets. Methods: a census-type sectional survey carried out between 2015 and 2018, in the municipality of Maringá-Paraná. A total of 701 homeless answered a structured questionnaire with sociodemographic data, living conditions, and drug use. We used Pearson’s correlation test for the association analysis of the variables at a 95% confidence level. Results: men (90.7%) the average age of 37.7 years had been homeless for an average of 5.39 years. Most had little education (54.2%), and homelessness was due to drug use (47.2%) and family disagreements (38.9%). Conclusions: drug use and family disagreements were the main reasons for homelessness. Time on the street, gender, and drugs were associated with a negative correlation to be homeless; and age, mean daily income, the number of daily meals, having been in prison, and having an income source were associated with positive correlation. |
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Homeless population: characterization and contextualization by census researchHomeless PersonsCensusesVulnerable PopulationsStreet DrugsPublic Health NursingABSTRACT Objectives: to analyze characteristics of homeless people and factors associated with living on the streets. Methods: a census-type sectional survey carried out between 2015 and 2018, in the municipality of Maringá-Paraná. A total of 701 homeless answered a structured questionnaire with sociodemographic data, living conditions, and drug use. We used Pearson’s correlation test for the association analysis of the variables at a 95% confidence level. Results: men (90.7%) the average age of 37.7 years had been homeless for an average of 5.39 years. Most had little education (54.2%), and homelessness was due to drug use (47.2%) and family disagreements (38.9%). Conclusions: drug use and family disagreements were the main reasons for homelessness. Time on the street, gender, and drugs were associated with a negative correlation to be homeless; and age, mean daily income, the number of daily meals, having been in prison, and having an income source were associated with positive correlation.Associação Brasileira de Enfermagem2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672020000500163Revista Brasileira de Enfermagem v.73 n.5 2020reponame:Revista Brasileira de Enfermagem (Online)instname:Associação Brasileira de Enfermagem (ABEN)instacron:ABEN10.1590/0034-7167-2019-0236info:eu-repo/semantics/openAccessHungaro,Anai AdarioGavioli,AroldoChristóphoro,RosangelaMarangoni,Sônia ReginaAltrão,Renan FilipeRodrigues,Ana LúciaOliveira,Magda Lúcia Félix deeng2020-06-29T00:00:00Zoai:scielo:S0034-71672020000500163Revistahttp://www.scielo.br/rebenhttps://old.scielo.br/oai/scielo-oai.phpreben@abennacional.org.br||telma.garcia@abennacional.org.br|| editorreben@abennacional.org.br1984-04460034-7167opendoar:2020-06-29T00:00Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN)false |
dc.title.none.fl_str_mv |
Homeless population: characterization and contextualization by census research |
title |
Homeless population: characterization and contextualization by census research |
spellingShingle |
Homeless population: characterization and contextualization by census research Hungaro,Anai Adario Homeless Persons Censuses Vulnerable Populations Street Drugs Public Health Nursing |
title_short |
Homeless population: characterization and contextualization by census research |
title_full |
Homeless population: characterization and contextualization by census research |
title_fullStr |
Homeless population: characterization and contextualization by census research |
title_full_unstemmed |
Homeless population: characterization and contextualization by census research |
title_sort |
Homeless population: characterization and contextualization by census research |
author |
Hungaro,Anai Adario |
author_facet |
Hungaro,Anai Adario Gavioli,Aroldo Christóphoro,Rosangela Marangoni,Sônia Regina Altrão,Renan Filipe Rodrigues,Ana Lúcia Oliveira,Magda Lúcia Félix de |
author_role |
author |
author2 |
Gavioli,Aroldo Christóphoro,Rosangela Marangoni,Sônia Regina Altrão,Renan Filipe Rodrigues,Ana Lúcia Oliveira,Magda Lúcia Félix de |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Hungaro,Anai Adario Gavioli,Aroldo Christóphoro,Rosangela Marangoni,Sônia Regina Altrão,Renan Filipe Rodrigues,Ana Lúcia Oliveira,Magda Lúcia Félix de |
dc.subject.por.fl_str_mv |
Homeless Persons Censuses Vulnerable Populations Street Drugs Public Health Nursing |
topic |
Homeless Persons Censuses Vulnerable Populations Street Drugs Public Health Nursing |
description |
ABSTRACT Objectives: to analyze characteristics of homeless people and factors associated with living on the streets. Methods: a census-type sectional survey carried out between 2015 and 2018, in the municipality of Maringá-Paraná. A total of 701 homeless answered a structured questionnaire with sociodemographic data, living conditions, and drug use. We used Pearson’s correlation test for the association analysis of the variables at a 95% confidence level. Results: men (90.7%) the average age of 37.7 years had been homeless for an average of 5.39 years. Most had little education (54.2%), and homelessness was due to drug use (47.2%) and family disagreements (38.9%). Conclusions: drug use and family disagreements were the main reasons for homelessness. Time on the street, gender, and drugs were associated with a negative correlation to be homeless; and age, mean daily income, the number of daily meals, having been in prison, and having an income source were associated with positive correlation. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
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=S0034-71672020000500163 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672020000500163 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0034-7167-2019-0236 |
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 |
Associação Brasileira de Enfermagem |
publisher.none.fl_str_mv |
Associação Brasileira de Enfermagem |
dc.source.none.fl_str_mv |
Revista Brasileira de Enfermagem v.73 n.5 2020 reponame:Revista Brasileira de Enfermagem (Online) instname:Associação Brasileira de Enfermagem (ABEN) instacron:ABEN |
instname_str |
Associação Brasileira de Enfermagem (ABEN) |
instacron_str |
ABEN |
institution |
ABEN |
reponame_str |
Revista Brasileira de Enfermagem (Online) |
collection |
Revista Brasileira de Enfermagem (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN) |
repository.mail.fl_str_mv |
reben@abennacional.org.br||telma.garcia@abennacional.org.br|| editorreben@abennacional.org.br |
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1754303037833216000 |