Karla Geovani Silva Marcelino, Luciana de Souza Braga, Fabiola Bof de Andrade, Karla Cristina Giacomin, Maria Fernanda Lima-Costa, Juliana Lustosa Torres
{"title":"巴西老年人的脆弱和社会网络:来自ELSI-Brazil的证据。","authors":"Karla Geovani Silva Marcelino, Luciana de Souza Braga, Fabiola Bof de Andrade, Karla Cristina Giacomin, Maria Fernanda Lima-Costa, Juliana Lustosa Torres","doi":"10.11606/s1518-8787.2024058005525","DOIUrl":null,"url":null,"abstract":"<p><p>To investigate the elements of the social network associated with frailty syndrome in older Brazilian adults.</p><p><p>Baseline data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil, 2015-2016) were used. Frailty was defined by the Fried phenotype (unintentional weight loss, exhaustion, weakness, slowness, and low level of physical activity). The social network was assessed using the conceptual model of Berkman and Krishna (social network structure, characteristics of social network ties, social support, and negative social interaction). Potential confounding variables included sociodemographic (age, sex, education, self-reported race, per capita family income, and place of residence) and health characteristics (polypharmacy, multimorbidity, depression, falls, hospitalization, and cognitive function). Analyses were based on multinomial logistic regression.</p><p><p>Among the 8,629 participants, 53.5% were pre-frail individuals and 9.1% were frail individuals. The elements of the social network that were consistently associated with pre-frailty and frailty were the following: characteristics of social network ties, social support, and negative social interaction. A positive association was found for less-than-weekly frequency of virtual contact with sons and daughters (OR = 1.15; 95%CI 1.01-1.33 for pre-frailty and OR = 1.51; 95%CI 1.13-2.02 for frailty) and for loneliness (OR = 1.36; 95%CI 1.19-1.56 for pre-frailty and OR = 1.40; 95%CI 1.12-1.75 for frailty). A negative association was found for social support (help with loans) (OR = 0.75; 95%CI 0.60-0.94 for pre-frailty and OR = 0.54; 95%CI 0.40-0.74 for frailty). However, the perception of criticism was only associated with frailty (OR = 1.35; 95%CI 1.11-1.64).</p><p><p>Social network is an important element for reducing/preventing frailty in older adults. Therefore, public policies and health and social assistance professionals should encompass the older adults' social network regarding the characteristics of social network ties, social support, and negative social interaction.</p>","PeriodicalId":21230,"journal":{"name":"Revista de saude publica","volume":"58 ","pages":"51"},"PeriodicalIF":2.1000,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11655055/pdf/","citationCount":"0","resultStr":"{\"title\":\"Frailty and social network among older Brazilian adults: evidence from ELSI-Brazil.\",\"authors\":\"Karla Geovani Silva Marcelino, Luciana de Souza Braga, Fabiola Bof de Andrade, Karla Cristina Giacomin, Maria Fernanda Lima-Costa, Juliana Lustosa Torres\",\"doi\":\"10.11606/s1518-8787.2024058005525\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>To investigate the elements of the social network associated with frailty syndrome in older Brazilian adults.</p><p><p>Baseline data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil, 2015-2016) were used. Frailty was defined by the Fried phenotype (unintentional weight loss, exhaustion, weakness, slowness, and low level of physical activity). The social network was assessed using the conceptual model of Berkman and Krishna (social network structure, characteristics of social network ties, social support, and negative social interaction). Potential confounding variables included sociodemographic (age, sex, education, self-reported race, per capita family income, and place of residence) and health characteristics (polypharmacy, multimorbidity, depression, falls, hospitalization, and cognitive function). Analyses were based on multinomial logistic regression.</p><p><p>Among the 8,629 participants, 53.5% were pre-frail individuals and 9.1% were frail individuals. The elements of the social network that were consistently associated with pre-frailty and frailty were the following: characteristics of social network ties, social support, and negative social interaction. A positive association was found for less-than-weekly frequency of virtual contact with sons and daughters (OR = 1.15; 95%CI 1.01-1.33 for pre-frailty and OR = 1.51; 95%CI 1.13-2.02 for frailty) and for loneliness (OR = 1.36; 95%CI 1.19-1.56 for pre-frailty and OR = 1.40; 95%CI 1.12-1.75 for frailty). A negative association was found for social support (help with loans) (OR = 0.75; 95%CI 0.60-0.94 for pre-frailty and OR = 0.54; 95%CI 0.40-0.74 for frailty). However, the perception of criticism was only associated with frailty (OR = 1.35; 95%CI 1.11-1.64).</p><p><p>Social network is an important element for reducing/preventing frailty in older adults. 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引用次数: 0
摘要
研究与巴西老年人虚弱综合征相关的社会网络因素。基线数据来自巴西老龄化纵向研究(ELSI-Brazil, 2015-2016)。虚弱被定义为Fried表型(意外体重减轻、疲惫、虚弱、行动迟缓和低水平的身体活动)。采用Berkman和Krishna的概念模型(社会网络结构、社会网络联系特征、社会支持和负性社会互动)对社会网络进行评估。潜在的混杂变量包括社会人口学(年龄、性别、教育程度、自我报告的种族、人均家庭收入和居住地)和健康特征(多种药物、多种疾病、抑郁、跌倒、住院和认知功能)。分析基于多项逻辑回归。在8629名参与者中,53.5%为体弱前期个体,9.1%为体弱个体。与脆弱前期和脆弱相关的社会网络要素如下:社会网络联系特征、社会支持和消极社会互动。每周与儿子或女儿虚拟接触的频率低于每周与儿子或女儿虚拟接触的频率呈正相关(OR = 1.15;脆弱前95%CI 1.01-1.33, OR = 1.51;虚弱的95%可信区间为1.13-2.02)和孤独(OR = 1.36;虚弱前95%CI 1.19-1.56, OR = 1.40;95%CI为1.12-1.75)。社会支持(贷款帮助)呈负相关(OR = 0.75;脆弱前95%CI 0.60-0.94, OR = 0.54;95%CI 0.40-0.74虚弱)。然而,批评的感知仅与脆弱相关(OR = 1.35;95%可信区间1.11 - -1.64)。社交网络是减少/预防老年人虚弱的一个重要因素。因此,公共政策和卫生与社会援助专业人员应在社会网络联系、社会支持和消极社会互动的特征方面涵盖老年人的社会网络。
Frailty and social network among older Brazilian adults: evidence from ELSI-Brazil.
To investigate the elements of the social network associated with frailty syndrome in older Brazilian adults.
Baseline data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil, 2015-2016) were used. Frailty was defined by the Fried phenotype (unintentional weight loss, exhaustion, weakness, slowness, and low level of physical activity). The social network was assessed using the conceptual model of Berkman and Krishna (social network structure, characteristics of social network ties, social support, and negative social interaction). Potential confounding variables included sociodemographic (age, sex, education, self-reported race, per capita family income, and place of residence) and health characteristics (polypharmacy, multimorbidity, depression, falls, hospitalization, and cognitive function). Analyses were based on multinomial logistic regression.
Among the 8,629 participants, 53.5% were pre-frail individuals and 9.1% were frail individuals. The elements of the social network that were consistently associated with pre-frailty and frailty were the following: characteristics of social network ties, social support, and negative social interaction. A positive association was found for less-than-weekly frequency of virtual contact with sons and daughters (OR = 1.15; 95%CI 1.01-1.33 for pre-frailty and OR = 1.51; 95%CI 1.13-2.02 for frailty) and for loneliness (OR = 1.36; 95%CI 1.19-1.56 for pre-frailty and OR = 1.40; 95%CI 1.12-1.75 for frailty). A negative association was found for social support (help with loans) (OR = 0.75; 95%CI 0.60-0.94 for pre-frailty and OR = 0.54; 95%CI 0.40-0.74 for frailty). However, the perception of criticism was only associated with frailty (OR = 1.35; 95%CI 1.11-1.64).
Social network is an important element for reducing/preventing frailty in older adults. Therefore, public policies and health and social assistance professionals should encompass the older adults' social network regarding the characteristics of social network ties, social support, and negative social interaction.