Trend of fall-related mortality among the elderly
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista da Escola de Enfermagem da USP (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342021000100567 |
Resumo: | ABSTRACT Objective: To analyze the temporal trend of fall-related mortality in elderly in Brazil from 2008 to 2016. Method: Study of time series of rates of fall-related mortality according to CID-10 from 2008 to 2016. Data from the Mortality Information System on death registers of people ≥ 60 living in Brazil were used. The specific rates of fall-related mortality among the elderly were calculated through the ratio between the number of deaths and the elderly population of that year and region. The populational information was obtained from the 2000 and 2010 censuses. The variation rate and temporal trend were obtained through linear regression (p < 0.05). Results: The fall-related deaths among the elderly aged ≥ 60 amounted to 72,234 (31.2%). Falls from the same level were the most frequent (53.8%) and death rates in all ages ranged from 29.7 to 44.7 per 100,000 elders. Fall-related deaths increased with age. Conclusion: There was a growing trend of fall-related deaths among elderly in all age groups, an event which is avoidable through the adoption of preventive measures. The high rates and growing trend of fall-related deaths, as well as the aging of the Brazilian population, suggest that public policies for protecting the elderly must be prioritized. |
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Revista da Escola de Enfermagem da USP (Online) |
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Trend of fall-related mortality among the elderlyAgedAccidental FallsDeathTime Series StudiesPublic HealthABSTRACT Objective: To analyze the temporal trend of fall-related mortality in elderly in Brazil from 2008 to 2016. Method: Study of time series of rates of fall-related mortality according to CID-10 from 2008 to 2016. Data from the Mortality Information System on death registers of people ≥ 60 living in Brazil were used. The specific rates of fall-related mortality among the elderly were calculated through the ratio between the number of deaths and the elderly population of that year and region. The populational information was obtained from the 2000 and 2010 censuses. The variation rate and temporal trend were obtained through linear regression (p < 0.05). Results: The fall-related deaths among the elderly aged ≥ 60 amounted to 72,234 (31.2%). Falls from the same level were the most frequent (53.8%) and death rates in all ages ranged from 29.7 to 44.7 per 100,000 elders. Fall-related deaths increased with age. Conclusion: There was a growing trend of fall-related deaths among elderly in all age groups, an event which is avoidable through the adoption of preventive measures. The high rates and growing trend of fall-related deaths, as well as the aging of the Brazilian population, suggest that public policies for protecting the elderly must be prioritized.Universidade de São Paulo, Escola de Enfermagem2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342021000100567Revista da Escola de Enfermagem da USP v.55 2021reponame:Revista da Escola de Enfermagem da USP (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/1980-220x-reeusp-2020-0069info:eu-repo/semantics/openAccessMonteiro,Yara Cristina MartinsVieira,Maria Aparecida da SilvaVitorino,Priscila Valverde de OliveiraQueiroz,Silvio José dePolicena,Gabriela MoreiraSouza,Adenicia Custódia Silva eeng2021-10-06T00:00:00Zoai:scielo:S0080-62342021000100567Revistahttp://www.scielo.br/reeuspPUBhttps://old.scielo.br/oai/scielo-oai.php||nursingscholar@usp.br1980-220X0080-6234opendoar:2021-10-06T00:00Revista da Escola de Enfermagem da USP (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Trend of fall-related mortality among the elderly |
title |
Trend of fall-related mortality among the elderly |
spellingShingle |
Trend of fall-related mortality among the elderly Monteiro,Yara Cristina Martins Aged Accidental Falls Death Time Series Studies Public Health |
title_short |
Trend of fall-related mortality among the elderly |
title_full |
Trend of fall-related mortality among the elderly |
title_fullStr |
Trend of fall-related mortality among the elderly |
title_full_unstemmed |
Trend of fall-related mortality among the elderly |
title_sort |
Trend of fall-related mortality among the elderly |
author |
Monteiro,Yara Cristina Martins |
author_facet |
Monteiro,Yara Cristina Martins Vieira,Maria Aparecida da Silva Vitorino,Priscila Valverde de Oliveira Queiroz,Silvio José de Policena,Gabriela Moreira Souza,Adenicia Custódia Silva e |
author_role |
author |
author2 |
Vieira,Maria Aparecida da Silva Vitorino,Priscila Valverde de Oliveira Queiroz,Silvio José de Policena,Gabriela Moreira Souza,Adenicia Custódia Silva e |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Monteiro,Yara Cristina Martins Vieira,Maria Aparecida da Silva Vitorino,Priscila Valverde de Oliveira Queiroz,Silvio José de Policena,Gabriela Moreira Souza,Adenicia Custódia Silva e |
dc.subject.por.fl_str_mv |
Aged Accidental Falls Death Time Series Studies Public Health |
topic |
Aged Accidental Falls Death Time Series Studies Public Health |
description |
ABSTRACT Objective: To analyze the temporal trend of fall-related mortality in elderly in Brazil from 2008 to 2016. Method: Study of time series of rates of fall-related mortality according to CID-10 from 2008 to 2016. Data from the Mortality Information System on death registers of people ≥ 60 living in Brazil were used. The specific rates of fall-related mortality among the elderly were calculated through the ratio between the number of deaths and the elderly population of that year and region. The populational information was obtained from the 2000 and 2010 censuses. The variation rate and temporal trend were obtained through linear regression (p < 0.05). Results: The fall-related deaths among the elderly aged ≥ 60 amounted to 72,234 (31.2%). Falls from the same level were the most frequent (53.8%) and death rates in all ages ranged from 29.7 to 44.7 per 100,000 elders. Fall-related deaths increased with age. Conclusion: There was a growing trend of fall-related deaths among elderly in all age groups, an event which is avoidable through the adoption of preventive measures. The high rates and growing trend of fall-related deaths, as well as the aging of the Brazilian population, suggest that public policies for protecting the elderly must be prioritized. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
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=S0080-62342021000100567 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342021000100567 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1980-220x-reeusp-2020-0069 |
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 de São Paulo, Escola de Enfermagem |
publisher.none.fl_str_mv |
Universidade de São Paulo, Escola de Enfermagem |
dc.source.none.fl_str_mv |
Revista da Escola de Enfermagem da USP v.55 2021 reponame:Revista da Escola de Enfermagem da USP (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Revista da Escola de Enfermagem da USP (Online) |
collection |
Revista da Escola de Enfermagem da USP (Online) |
repository.name.fl_str_mv |
Revista da Escola de Enfermagem da USP (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||nursingscholar@usp.br |
_version_ |
1748936541516857344 |