Risk of dependence associated with health, social support, and lifestyle
Autor(a) principal: | |
---|---|
Data de Publicação: | 2015 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista de Saúde Pública |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102015000100222 |
Resumo: | OBJECTIVE To analyze the prevalence of individuals at risk of dependence and its associated factors.METHODS The study was based on data from the Catalan Health Survey, Spain conducted in 2010 and 2011. Logistic regression models from a random sample of 3,842 individuals aged ≥ 15 years were used to classify individuals according to the state of their personal autonomy. Predictive models were proposed to identify indicators that helped distinguish dependent individuals from those at risk of dependence. Variables on health status, social support, and lifestyles were considered.RESULTS We found that 18.6% of the population presented a risk of dependence, especially after age 65. Compared with this group, individuals who reported dependence (11.0%) had difficulties performing activities of daily living and had to receive support to perform them. Habits such as smoking, excessive alcohol consumption, and being sedentary were associated with a higher probability of dependence, particularly for women.CONCLUSIONS Difficulties in carrying out activities of daily living precede the onset of dependence. Preserving personal autonomy and function without receiving support appear to be a preventive factor. Adopting an active and healthy lifestyle helps reduce the risk of dependence. |
id |
USP-23_44082c79af97cafbf58e52b1caaa1b4e |
---|---|
oai_identifier_str |
oai:scielo:S0034-89102015000100222 |
network_acronym_str |
USP-23 |
network_name_str |
Revista de Saúde Pública |
repository_id_str |
|
spelling |
Risk of dependence associated with health, social support, and lifestyleDependenceRisk FactorsPersonal AutonomyLifestyleActivities of Daily LivingAgingLogistic ModelsOBJECTIVE To analyze the prevalence of individuals at risk of dependence and its associated factors.METHODS The study was based on data from the Catalan Health Survey, Spain conducted in 2010 and 2011. Logistic regression models from a random sample of 3,842 individuals aged ≥ 15 years were used to classify individuals according to the state of their personal autonomy. Predictive models were proposed to identify indicators that helped distinguish dependent individuals from those at risk of dependence. Variables on health status, social support, and lifestyles were considered.RESULTS We found that 18.6% of the population presented a risk of dependence, especially after age 65. Compared with this group, individuals who reported dependence (11.0%) had difficulties performing activities of daily living and had to receive support to perform them. Habits such as smoking, excessive alcohol consumption, and being sedentary were associated with a higher probability of dependence, particularly for women.CONCLUSIONS Difficulties in carrying out activities of daily living precede the onset of dependence. Preserving personal autonomy and function without receiving support appear to be a preventive factor. Adopting an active and healthy lifestyle helps reduce the risk of dependence.Faculdade de Saúde Pública da Universidade de São Paulo2015-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102015000100222Revista de Saúde Pública v.49 2015reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.1590/S0034-8910.2015049005585info:eu-repo/semantics/openAccessAlcañiz,ManuelaBrugulat,PilarGuillén,MontserratMedina-Bustos,AntoniaMompart-Penina,AnnaSolé-Auró,Aïdaeng2015-10-28T00:00:00Zoai:scielo:S0034-89102015000100222Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0034-8910&lng=pt&nrm=isoONGhttps://old.scielo.br/oai/scielo-oai.phprevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2015-10-28T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Risk of dependence associated with health, social support, and lifestyle |
title |
Risk of dependence associated with health, social support, and lifestyle |
spellingShingle |
Risk of dependence associated with health, social support, and lifestyle Alcañiz,Manuela Dependence Risk Factors Personal Autonomy Lifestyle Activities of Daily Living Aging Logistic Models |
title_short |
Risk of dependence associated with health, social support, and lifestyle |
title_full |
Risk of dependence associated with health, social support, and lifestyle |
title_fullStr |
Risk of dependence associated with health, social support, and lifestyle |
title_full_unstemmed |
Risk of dependence associated with health, social support, and lifestyle |
title_sort |
Risk of dependence associated with health, social support, and lifestyle |
author |
Alcañiz,Manuela |
author_facet |
Alcañiz,Manuela Brugulat,Pilar Guillén,Montserrat Medina-Bustos,Antonia Mompart-Penina,Anna Solé-Auró,Aïda |
author_role |
author |
author2 |
Brugulat,Pilar Guillén,Montserrat Medina-Bustos,Antonia Mompart-Penina,Anna Solé-Auró,Aïda |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Alcañiz,Manuela Brugulat,Pilar Guillén,Montserrat Medina-Bustos,Antonia Mompart-Penina,Anna Solé-Auró,Aïda |
dc.subject.por.fl_str_mv |
Dependence Risk Factors Personal Autonomy Lifestyle Activities of Daily Living Aging Logistic Models |
topic |
Dependence Risk Factors Personal Autonomy Lifestyle Activities of Daily Living Aging Logistic Models |
description |
OBJECTIVE To analyze the prevalence of individuals at risk of dependence and its associated factors.METHODS The study was based on data from the Catalan Health Survey, Spain conducted in 2010 and 2011. Logistic regression models from a random sample of 3,842 individuals aged ≥ 15 years were used to classify individuals according to the state of their personal autonomy. Predictive models were proposed to identify indicators that helped distinguish dependent individuals from those at risk of dependence. Variables on health status, social support, and lifestyles were considered.RESULTS We found that 18.6% of the population presented a risk of dependence, especially after age 65. Compared with this group, individuals who reported dependence (11.0%) had difficulties performing activities of daily living and had to receive support to perform them. Habits such as smoking, excessive alcohol consumption, and being sedentary were associated with a higher probability of dependence, particularly for women.CONCLUSIONS Difficulties in carrying out activities of daily living precede the onset of dependence. Preserving personal autonomy and function without receiving support appear to be a preventive factor. Adopting an active and healthy lifestyle helps reduce the risk of dependence. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01 |
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=S0034-89102015000100222 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102015000100222 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0034-8910.2015049005585 |
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 |
Faculdade de Saúde Pública da Universidade de São Paulo |
publisher.none.fl_str_mv |
Faculdade de Saúde Pública da Universidade de São Paulo |
dc.source.none.fl_str_mv |
Revista de Saúde Pública v.49 2015 reponame:Revista de Saúde Pública instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Revista de Saúde Pública |
collection |
Revista de Saúde Pública |
repository.name.fl_str_mv |
Revista de Saúde Pública - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
revsp@org.usp.br||revsp1@usp.br |
_version_ |
1748936502897803264 |