Frailty in older adults in the city of São Paulo: Prevalence and associated factors
Frailty is a preventable and reversible syndrome characterized by a cumulative decline of physiological systems, causing greater vulnerability to adverse conditions. To describe the prevalence of frailty among older adults and analyze its associated factors and progression. This is a longitudinal st...
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| Veröffentlicht in: | Revista brasileira de epidemiologia 2019-02, Vol.21Suppl 02 (Suppl 02), p.e180021-e180021 |
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| creator | Duarte, Yeda Aparecida de Oliveira Nunes, Daniella Pires Andrade, Fabíola Bof de Corona, Ligiana Pires Brito, Tábatta Renata Pereira de Santos, Jair Lício Ferreira Dos Lebrão, Maria Lúcia |
| description | Frailty is a preventable and reversible syndrome characterized by a cumulative decline of physiological systems, causing greater vulnerability to adverse conditions.
To describe the prevalence of frailty among older adults and analyze its associated factors and progression.
This is a longitudinal study that used the Health, Well-being, and Aging Study (Saúde, Bem-Estar e Envelhecimento - SABE) database of 2006 and 2010. Five components identified the frailty syndrome: weight loss; fatigue; decreased strength, low physical activity, and reduced walking speed. Older adults were classified as "pre-frail" (1-2 components) and "frail" (3 or more). We used a hierarchical multiple multinomial regression to analyze associated factors.
Out of the total number of older adults (n = 1,399), 8.5% were frail, and the associated factors were age, functional impairment, cognitive decline, hospitalization, and multimorbidity. In four years, 3.3% of non-frail and 14.7% of pre-frail older adults became frail.
Identifying the prevalence of frailty and its associated factors can help to implement adequate interventions early to improve the quality of life of older adults. |
| doi_str_mv | 10.1590/1980-549720180021.supl.2 |
| format | Article |
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To describe the prevalence of frailty among older adults and analyze its associated factors and progression.
This is a longitudinal study that used the Health, Well-being, and Aging Study (Saúde, Bem-Estar e Envelhecimento - SABE) database of 2006 and 2010. Five components identified the frailty syndrome: weight loss; fatigue; decreased strength, low physical activity, and reduced walking speed. Older adults were classified as "pre-frail" (1-2 components) and "frail" (3 or more). We used a hierarchical multiple multinomial regression to analyze associated factors.
Out of the total number of older adults (n = 1,399), 8.5% were frail, and the associated factors were age, functional impairment, cognitive decline, hospitalization, and multimorbidity. In four years, 3.3% of non-frail and 14.7% of pre-frail older adults became frail.
Identifying the prevalence of frailty and its associated factors can help to implement adequate interventions early to improve the quality of life of older adults.</description><identifier>EISSN: 1980-5497</identifier><identifier>DOI: 10.1590/1980-549720180021.supl.2</identifier><identifier>PMID: 30726366</identifier><language>eng ; por</language><publisher>Brazil</publisher><subject>Activities of Daily Living ; Age Distribution ; Aged ; Aged, 80 and over ; Brazil - epidemiology ; Cognitive Dysfunction - epidemiology ; Cognitive Dysfunction - physiopathology ; Disease Progression ; Female ; Frail Elderly - statistics & numerical data ; Frailty - epidemiology ; Frailty - etiology ; Frailty - physiopathology ; Geriatric Assessment - statistics & numerical data ; Humans ; Longitudinal Studies ; Male ; Middle Aged ; Multimorbidity ; Prevalence ; Quality of Life ; Risk Factors ; Sex Distribution ; Socioeconomic Factors ; Weight Loss - physiology</subject><ispartof>Revista brasileira de epidemiologia, 2019-02, Vol.21Suppl 02 (Suppl 02), p.e180021-e180021</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,861,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30726366$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Duarte, Yeda Aparecida de Oliveira</creatorcontrib><creatorcontrib>Nunes, Daniella Pires</creatorcontrib><creatorcontrib>Andrade, Fabíola Bof de</creatorcontrib><creatorcontrib>Corona, Ligiana Pires</creatorcontrib><creatorcontrib>Brito, Tábatta Renata Pereira de</creatorcontrib><creatorcontrib>Santos, Jair Lício Ferreira Dos</creatorcontrib><creatorcontrib>Lebrão, Maria Lúcia</creatorcontrib><title>Frailty in older adults in the city of São Paulo: Prevalence and associated factors</title><title>Revista brasileira de epidemiologia</title><addtitle>Rev Bras Epidemiol</addtitle><description>Frailty is a preventable and reversible syndrome characterized by a cumulative decline of physiological systems, causing greater vulnerability to adverse conditions.
To describe the prevalence of frailty among older adults and analyze its associated factors and progression.
This is a longitudinal study that used the Health, Well-being, and Aging Study (Saúde, Bem-Estar e Envelhecimento - SABE) database of 2006 and 2010. Five components identified the frailty syndrome: weight loss; fatigue; decreased strength, low physical activity, and reduced walking speed. Older adults were classified as "pre-frail" (1-2 components) and "frail" (3 or more). We used a hierarchical multiple multinomial regression to analyze associated factors.
Out of the total number of older adults (n = 1,399), 8.5% were frail, and the associated factors were age, functional impairment, cognitive decline, hospitalization, and multimorbidity. In four years, 3.3% of non-frail and 14.7% of pre-frail older adults became frail.
Identifying the prevalence of frailty and its associated factors can help to implement adequate interventions early to improve the quality of life of older adults.</description><subject>Activities of Daily Living</subject><subject>Age Distribution</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Brazil - epidemiology</subject><subject>Cognitive Dysfunction - epidemiology</subject><subject>Cognitive Dysfunction - physiopathology</subject><subject>Disease Progression</subject><subject>Female</subject><subject>Frail Elderly - statistics & numerical data</subject><subject>Frailty - epidemiology</subject><subject>Frailty - etiology</subject><subject>Frailty - physiopathology</subject><subject>Geriatric Assessment - statistics & numerical data</subject><subject>Humans</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Multimorbidity</subject><subject>Prevalence</subject><subject>Quality of Life</subject><subject>Risk Factors</subject><subject>Sex Distribution</subject><subject>Socioeconomic Factors</subject><subject>Weight Loss - physiology</subject><issn>1980-5497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kM1Kw0AcxBdBbK2-guzRS-p-b-JNiq1CwYL1HP77EYxsszG7Efo8PoovZsXqaRjmN3MYhDAlcyorckOrkhRSVJoRWhLC6DyNfZizEzT9jyboPKU3QrgqKT1DE040U1ypKdouB2hD3uO2wzE4P2BwY8jpx-dXj217yGKDn78-I97AGOIt3gz-A4LvrMfQOQwpRdtC9g43YHMc0gU6bSAkf3nUGXpZ3m8XD8X6afW4uFsXPWUqF6UhspKi1Joa5XjDKiIYECMbZzgXxFrQygjuGGNKGkU9pcwy58ELRsHyGbr-3e2H-D76lOtdm6wPATofx1QfehXRUgp9QK-O6Gh23tX90O5g2Nd_T_Bv--pgVw</recordid><startdate>20190204</startdate><enddate>20190204</enddate><creator>Duarte, Yeda Aparecida de Oliveira</creator><creator>Nunes, Daniella Pires</creator><creator>Andrade, Fabíola Bof de</creator><creator>Corona, Ligiana Pires</creator><creator>Brito, Tábatta Renata Pereira de</creator><creator>Santos, Jair Lício Ferreira Dos</creator><creator>Lebrão, Maria Lúcia</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>20190204</creationdate><title>Frailty in older adults in the city of São Paulo: Prevalence and associated factors</title><author>Duarte, Yeda Aparecida de Oliveira ; Nunes, Daniella Pires ; Andrade, Fabíola Bof de ; Corona, Ligiana Pires ; Brito, Tábatta Renata Pereira de ; Santos, Jair Lício Ferreira Dos ; Lebrão, Maria Lúcia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p126t-8b059548771b6d3f29042a0b5fdb3340cca76b43d22265b61e112c2deae421ac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng ; por</language><creationdate>2019</creationdate><topic>Activities of Daily Living</topic><topic>Age Distribution</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Brazil - epidemiology</topic><topic>Cognitive Dysfunction - epidemiology</topic><topic>Cognitive Dysfunction - physiopathology</topic><topic>Disease Progression</topic><topic>Female</topic><topic>Frail Elderly - statistics & numerical data</topic><topic>Frailty - epidemiology</topic><topic>Frailty - etiology</topic><topic>Frailty - physiopathology</topic><topic>Geriatric Assessment - statistics & numerical data</topic><topic>Humans</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Multimorbidity</topic><topic>Prevalence</topic><topic>Quality of Life</topic><topic>Risk Factors</topic><topic>Sex Distribution</topic><topic>Socioeconomic Factors</topic><topic>Weight Loss - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Duarte, Yeda Aparecida de Oliveira</creatorcontrib><creatorcontrib>Nunes, Daniella Pires</creatorcontrib><creatorcontrib>Andrade, Fabíola Bof de</creatorcontrib><creatorcontrib>Corona, Ligiana Pires</creatorcontrib><creatorcontrib>Brito, Tábatta Renata Pereira de</creatorcontrib><creatorcontrib>Santos, Jair Lício Ferreira Dos</creatorcontrib><creatorcontrib>Lebrão, Maria Lúcia</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Revista brasileira de epidemiologia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Duarte, Yeda Aparecida de Oliveira</au><au>Nunes, Daniella Pires</au><au>Andrade, Fabíola Bof de</au><au>Corona, Ligiana Pires</au><au>Brito, Tábatta Renata Pereira de</au><au>Santos, Jair Lício Ferreira Dos</au><au>Lebrão, Maria Lúcia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Frailty in older adults in the city of São Paulo: Prevalence and associated factors</atitle><jtitle>Revista brasileira de epidemiologia</jtitle><addtitle>Rev Bras Epidemiol</addtitle><date>2019-02-04</date><risdate>2019</risdate><volume>21Suppl 02</volume><issue>Suppl 02</issue><spage>e180021</spage><epage>e180021</epage><pages>e180021-e180021</pages><eissn>1980-5497</eissn><abstract>Frailty is a preventable and reversible syndrome characterized by a cumulative decline of physiological systems, causing greater vulnerability to adverse conditions.
To describe the prevalence of frailty among older adults and analyze its associated factors and progression.
This is a longitudinal study that used the Health, Well-being, and Aging Study (Saúde, Bem-Estar e Envelhecimento - SABE) database of 2006 and 2010. Five components identified the frailty syndrome: weight loss; fatigue; decreased strength, low physical activity, and reduced walking speed. Older adults were classified as "pre-frail" (1-2 components) and "frail" (3 or more). We used a hierarchical multiple multinomial regression to analyze associated factors.
Out of the total number of older adults (n = 1,399), 8.5% were frail, and the associated factors were age, functional impairment, cognitive decline, hospitalization, and multimorbidity. In four years, 3.3% of non-frail and 14.7% of pre-frail older adults became frail.
Identifying the prevalence of frailty and its associated factors can help to implement adequate interventions early to improve the quality of life of older adults.</abstract><cop>Brazil</cop><pmid>30726366</pmid><doi>10.1590/1980-549720180021.supl.2</doi></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Activities of Daily Living Age Distribution Aged Aged, 80 and over Brazil - epidemiology Cognitive Dysfunction - epidemiology Cognitive Dysfunction - physiopathology Disease Progression Female Frail Elderly - statistics & numerical data Frailty - epidemiology Frailty - etiology Frailty - physiopathology Geriatric Assessment - statistics & numerical data Humans Longitudinal Studies Male Middle Aged Multimorbidity Prevalence Quality of Life Risk Factors Sex Distribution Socioeconomic Factors Weight Loss - physiology |
| title | Frailty in older adults in the city of São Paulo: Prevalence and associated factors |
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