Differences between men and women in the prevalence of frailty and associated factors among older adults: evidence from ELSI-Brazil
Based on a national representative sample of the population aged 50 years or older, this study aimed to estimate the prevalence of frailty among men and women, identify associated sociodemographic and health factors, and estimate the population attributable fraction. Data from the second wave (2019-...
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Veröffentlicht in: | Cadernos de saúde pública 2024, Vol.40 (3), p.e00144923-e00144923 |
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creator | Silva, Silvia Lanziotti Azevedo da Brito, Geraldo Eduardo Guedes de Ygnatios, Nair Tavares Milhem Mambrini, Juliana Vaz de Melo Lima-Costa, Maria Fernanda Torres, Juliana Lustosa |
description | Based on a national representative sample of the population aged 50 years or older, this study aimed to estimate the prevalence of frailty among men and women, identify associated sociodemographic and health factors, and estimate the population attributable fraction. Data from the second wave (2019-2021) of the Brazilian Longitudinal Study of Aging (ELSI-Brazil) were used. Frailty was classified based on the number of positive items among unintentional weight loss, exhaustion, low level of physical activity, slow gait, and weakness. The main analyses were based on multinomial logistic regression stratified by sex. The prevalence of frailty was lower in men (8.6%; 95%CI: 6.9; 10.7) than in women (11.9%; 95%CI: 9.6; 14.8), with the most frequent item being the low level of physical activity in both. Age and schooling level were the sociodemographic factors associated with pre-frailty and fragility among men and women. The population attributable fraction was different for frailty between genders. In men, the highest population attributable fraction was due to not having a partner (23.5%; 95%CI: 7.7; 39.2) and low schooling level (18.2%; 95%CI: 6.6; 29,7). In women, higher population attributable fraction values were due to memory deficit (17.1%; 95%CI: 7.6; 26.6), vision deficit (13.4%; 95%CI: 5.1; 21.7), and diabetes mellitus (11.4%; 95%CI: 4.6; 18,1). Similar population attributable fraction levels were observed for heart disease (8.9%; 95%CI: 3.8; 14.1 in women and 8.8%; 95%CI: 2.0; 15.6 in men). Strategies aimed at physical activity have the potential to prevent frailty in both men and women, and the prevention of chronic conditions is more important in women. |
doi_str_mv | 10.1590/0102-311XPT144923 |
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Data from the second wave (2019-2021) of the Brazilian Longitudinal Study of Aging (ELSI-Brazil) were used. Frailty was classified based on the number of positive items among unintentional weight loss, exhaustion, low level of physical activity, slow gait, and weakness. The main analyses were based on multinomial logistic regression stratified by sex. The prevalence of frailty was lower in men (8.6%; 95%CI: 6.9; 10.7) than in women (11.9%; 95%CI: 9.6; 14.8), with the most frequent item being the low level of physical activity in both. Age and schooling level were the sociodemographic factors associated with pre-frailty and fragility among men and women. The population attributable fraction was different for frailty between genders. In men, the highest population attributable fraction was due to not having a partner (23.5%; 95%CI: 7.7; 39.2) and low schooling level (18.2%; 95%CI: 6.6; 29,7). In women, higher population attributable fraction values were due to memory deficit (17.1%; 95%CI: 7.6; 26.6), vision deficit (13.4%; 95%CI: 5.1; 21.7), and diabetes mellitus (11.4%; 95%CI: 4.6; 18,1). Similar population attributable fraction levels were observed for heart disease (8.9%; 95%CI: 3.8; 14.1 in women and 8.8%; 95%CI: 2.0; 15.6 in men). Strategies aimed at physical activity have the potential to prevent frailty in both men and women, and the prevention of chronic conditions is more important in women.</description><identifier>EISSN: 1678-4464</identifier><identifier>DOI: 10.1590/0102-311XPT144923</identifier><identifier>PMID: 38656069</identifier><language>por</language><publisher>Brazil</publisher><subject>Age Factors ; Aged ; Aged, 80 and over ; Brazil - epidemiology ; Female ; Frail Elderly - statistics & numerical data ; Frailty - epidemiology ; Geriatric Assessment - statistics & numerical data ; Humans ; Longitudinal Studies ; Male ; Middle Aged ; Prevalence ; Risk Factors ; Sex Distribution ; Sex Factors ; Sociodemographic Factors ; Socioeconomic Factors</subject><ispartof>Cadernos de saúde pública, 2024, Vol.40 (3), p.e00144923-e00144923</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-0420-3062 ; 0000-0002-2323-2029 ; 0000-0002-3687-897X ; 0000-0002-3059-3164 ; 0000-0002-8862-1930 ; 0000-0002-3474-2980</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,4010,27900,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38656069$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Silva, Silvia Lanziotti Azevedo da</creatorcontrib><creatorcontrib>Brito, Geraldo Eduardo Guedes de</creatorcontrib><creatorcontrib>Ygnatios, Nair Tavares Milhem</creatorcontrib><creatorcontrib>Mambrini, Juliana Vaz de Melo</creatorcontrib><creatorcontrib>Lima-Costa, Maria Fernanda</creatorcontrib><creatorcontrib>Torres, Juliana Lustosa</creatorcontrib><title>Differences between men and women in the prevalence of frailty and associated factors among older adults: evidence from ELSI-Brazil</title><title>Cadernos de saúde pública</title><addtitle>Cad Saude Publica</addtitle><description>Based on a national representative sample of the population aged 50 years or older, this study aimed to estimate the prevalence of frailty among men and women, identify associated sociodemographic and health factors, and estimate the population attributable fraction. Data from the second wave (2019-2021) of the Brazilian Longitudinal Study of Aging (ELSI-Brazil) were used. Frailty was classified based on the number of positive items among unintentional weight loss, exhaustion, low level of physical activity, slow gait, and weakness. The main analyses were based on multinomial logistic regression stratified by sex. The prevalence of frailty was lower in men (8.6%; 95%CI: 6.9; 10.7) than in women (11.9%; 95%CI: 9.6; 14.8), with the most frequent item being the low level of physical activity in both. Age and schooling level were the sociodemographic factors associated with pre-frailty and fragility among men and women. The population attributable fraction was different for frailty between genders. In men, the highest population attributable fraction was due to not having a partner (23.5%; 95%CI: 7.7; 39.2) and low schooling level (18.2%; 95%CI: 6.6; 29,7). In women, higher population attributable fraction values were due to memory deficit (17.1%; 95%CI: 7.6; 26.6), vision deficit (13.4%; 95%CI: 5.1; 21.7), and diabetes mellitus (11.4%; 95%CI: 4.6; 18,1). Similar population attributable fraction levels were observed for heart disease (8.9%; 95%CI: 3.8; 14.1 in women and 8.8%; 95%CI: 2.0; 15.6 in men). Strategies aimed at physical activity have the potential to prevent frailty in both men and women, and the prevention of chronic conditions is more important in women.</description><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Brazil - epidemiology</subject><subject>Female</subject><subject>Frail Elderly - statistics & numerical data</subject><subject>Frailty - epidemiology</subject><subject>Geriatric Assessment - statistics & numerical data</subject><subject>Humans</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Prevalence</subject><subject>Risk Factors</subject><subject>Sex Distribution</subject><subject>Sex Factors</subject><subject>Sociodemographic Factors</subject><subject>Socioeconomic Factors</subject><issn>1678-4464</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo1kE1PwkAYhDcmRhD9AV7MHr1U95vWmyIqCYkmYuKNvO2-qzVtt-4WCF794wLiYTJzeGYOQ8gZZ5dcZ-yKcSYSyfnb84wrlQl5QPrcDNNEKaN65DjGT8aEFFIfkZ5MjTbMZH3yc1c6hwGbAiPNsVshNrTeCBpLV36byoZ2H0jbgEuotiD1jroAZdWtdxjE6IsSOrTUQdH5ECnUvnmnvrIYKNhF1cVrisvS7uou-JqOpy-T5DbAd1mdkEMHVcTTvQ_I6_14NnpMpk8Pk9HNNGm54l0ihIWC50KiMBZyluegQGX5UFjMkAmXZlC4QoLJuNIGcqmk1sZgZrBQWsgBufjbbYP_WmDs5nUZC6wqaNAv4lwyZTRPNTMb9HyPLvIa7bwNZQ1hPf8_Tv4CiXZwKA</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Silva, Silvia Lanziotti Azevedo da</creator><creator>Brito, Geraldo Eduardo Guedes de</creator><creator>Ygnatios, Nair Tavares Milhem</creator><creator>Mambrini, Juliana Vaz de Melo</creator><creator>Lima-Costa, Maria Fernanda</creator><creator>Torres, Juliana Lustosa</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-0420-3062</orcidid><orcidid>https://orcid.org/0000-0002-2323-2029</orcidid><orcidid>https://orcid.org/0000-0002-3687-897X</orcidid><orcidid>https://orcid.org/0000-0002-3059-3164</orcidid><orcidid>https://orcid.org/0000-0002-8862-1930</orcidid><orcidid>https://orcid.org/0000-0002-3474-2980</orcidid></search><sort><creationdate>2024</creationdate><title>Differences between men and women in the prevalence of frailty and associated factors among older adults: evidence from ELSI-Brazil</title><author>Silva, Silvia Lanziotti Azevedo da ; Brito, Geraldo Eduardo Guedes de ; Ygnatios, Nair Tavares Milhem ; Mambrini, Juliana Vaz de Melo ; Lima-Costa, Maria Fernanda ; Torres, Juliana Lustosa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p141t-22dac1b23e26dab0bba4a49b72de9e02f89acfc3a691456ab3435566e96ec4523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>por</language><creationdate>2024</creationdate><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Brazil - epidemiology</topic><topic>Female</topic><topic>Frail Elderly - statistics & numerical data</topic><topic>Frailty - epidemiology</topic><topic>Geriatric Assessment - statistics & numerical data</topic><topic>Humans</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Prevalence</topic><topic>Risk Factors</topic><topic>Sex Distribution</topic><topic>Sex Factors</topic><topic>Sociodemographic Factors</topic><topic>Socioeconomic Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Silva, Silvia Lanziotti Azevedo da</creatorcontrib><creatorcontrib>Brito, Geraldo Eduardo Guedes de</creatorcontrib><creatorcontrib>Ygnatios, Nair Tavares Milhem</creatorcontrib><creatorcontrib>Mambrini, Juliana Vaz de Melo</creatorcontrib><creatorcontrib>Lima-Costa, Maria Fernanda</creatorcontrib><creatorcontrib>Torres, Juliana Lustosa</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>Cadernos de saúde pública</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Silva, Silvia Lanziotti Azevedo da</au><au>Brito, Geraldo Eduardo Guedes de</au><au>Ygnatios, Nair Tavares Milhem</au><au>Mambrini, Juliana Vaz de Melo</au><au>Lima-Costa, Maria Fernanda</au><au>Torres, Juliana Lustosa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Differences between men and women in the prevalence of frailty and associated factors among older adults: evidence from ELSI-Brazil</atitle><jtitle>Cadernos de saúde pública</jtitle><addtitle>Cad Saude Publica</addtitle><date>2024</date><risdate>2024</risdate><volume>40</volume><issue>3</issue><spage>e00144923</spage><epage>e00144923</epage><pages>e00144923-e00144923</pages><eissn>1678-4464</eissn><abstract>Based on a national representative sample of the population aged 50 years or older, this study aimed to estimate the prevalence of frailty among men and women, identify associated sociodemographic and health factors, and estimate the population attributable fraction. Data from the second wave (2019-2021) of the Brazilian Longitudinal Study of Aging (ELSI-Brazil) were used. Frailty was classified based on the number of positive items among unintentional weight loss, exhaustion, low level of physical activity, slow gait, and weakness. The main analyses were based on multinomial logistic regression stratified by sex. The prevalence of frailty was lower in men (8.6%; 95%CI: 6.9; 10.7) than in women (11.9%; 95%CI: 9.6; 14.8), with the most frequent item being the low level of physical activity in both. Age and schooling level were the sociodemographic factors associated with pre-frailty and fragility among men and women. The population attributable fraction was different for frailty between genders. In men, the highest population attributable fraction was due to not having a partner (23.5%; 95%CI: 7.7; 39.2) and low schooling level (18.2%; 95%CI: 6.6; 29,7). In women, higher population attributable fraction values were due to memory deficit (17.1%; 95%CI: 7.6; 26.6), vision deficit (13.4%; 95%CI: 5.1; 21.7), and diabetes mellitus (11.4%; 95%CI: 4.6; 18,1). Similar population attributable fraction levels were observed for heart disease (8.9%; 95%CI: 3.8; 14.1 in women and 8.8%; 95%CI: 2.0; 15.6 in men). Strategies aimed at physical activity have the potential to prevent frailty in both men and women, and the prevention of chronic conditions is more important in women.</abstract><cop>Brazil</cop><pmid>38656069</pmid><doi>10.1590/0102-311XPT144923</doi><orcidid>https://orcid.org/0000-0002-0420-3062</orcidid><orcidid>https://orcid.org/0000-0002-2323-2029</orcidid><orcidid>https://orcid.org/0000-0002-3687-897X</orcidid><orcidid>https://orcid.org/0000-0002-3059-3164</orcidid><orcidid>https://orcid.org/0000-0002-8862-1930</orcidid><orcidid>https://orcid.org/0000-0002-3474-2980</orcidid></addata></record> |
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subjects | Age Factors Aged Aged, 80 and over Brazil - epidemiology Female Frail Elderly - statistics & numerical data Frailty - epidemiology Geriatric Assessment - statistics & numerical data Humans Longitudinal Studies Male Middle Aged Prevalence Risk Factors Sex Distribution Sex Factors Sociodemographic Factors Socioeconomic Factors |
title | Differences between men and women in the prevalence of frailty and associated factors among older adults: evidence from ELSI-Brazil |
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