A. Pizzinato, Damião Soares de Almeida Segundo, Esequiel Pagnussat, João Luis Almeida Weber, Kátia Bones Rocha
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Correlation of PAIF participation duration with community integration was weak (r = 0.145, p < 0.05). A linear regression model showed that age (β = 0.323, p < 0.001), the monetary value of the benefit (β = 0.224, p = 0.002), and community participation (β = 0.234, p = 0.002) were predictors, accounting for 30.5% of the variance of community integration. Results indicate that, as people age in the community, they increase their integration. The amounts received by each family probably affect community integration because they expand access to community spaces and public services. Individuals with greater community support tools felt more welcome in the community network. Additional studies are needed to provide evidence for the effectiveness of social integration and health promotion interventions","PeriodicalId":74611,"journal":{"name":"Psykhe : revista de la Escuela de Psicologia, Facultad de Ciencias Sociales, Pontificia Universidad Catolica de Chile","volume":"48 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Social Support and Community Integration in Users of Brazil's Basic Social Protection Policy\",\"authors\":\"A. Pizzinato, Damião Soares de Almeida Segundo, Esequiel Pagnussat, João Luis Almeida Weber, Kátia Bones Rocha\",\"doi\":\"10.7764/psykhe.2019.22307\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aimed to verify how community participation, family support, and sociodemographic variables relate to community integration. Participants were 201 individuals from the Brazilian state of Rio Grande do Sul, residing in the cities of Porto Alegre and Esteio, who benefited from a basic social protection program, PAIF (Proteção e Atendimento Integral à Família). The non-probability sample was mainly composed of low socioeconomic status women with a low educational level who were beneficiaries of social financial support programs. The research protocol comprised the Inventory of Family Support Perception, the Questionnaire of Community Social Support, and questions about sociodemographic characteristics. Correlation of PAIF participation duration with community integration was weak (r = 0.145, p < 0.05). A linear regression model showed that age (β = 0.323, p < 0.001), the monetary value of the benefit (β = 0.224, p = 0.002), and community participation (β = 0.234, p = 0.002) were predictors, accounting for 30.5% of the variance of community integration. 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引用次数: 0
摘要
本研究旨在验证社区参与、家庭支持和社会人口变量与社区整合的关系。参与者是来自巴西南里奥格兰德州的201名个人,他们居住在阿雷格里港和埃斯特奥市,他们受益于基本社会保护计划PAIF (protealo e atendento Integral Família)。非概率样本主要由社会经济地位低、受教育程度低的妇女组成,她们是社会财政支持计划的受益者。研究方案包括家庭支持感知量表、社区社会支持问卷和社会人口学特征问题。参与时间与社区整合的相关性较弱(r = 0.145, p < 0.05)。线性回归模型显示,年龄(β = 0.323, p < 0.001)、福利金额(β = 0.224, p = 0.002)和社区参与(β = 0.234, p = 0.002)是预测因子,占社区整合方差的30.5%。结果表明,随着人们在社区中年龄的增长,他们的融入程度会提高。每个家庭收到的数额可能会影响社区融合,因为它们扩大了获得社区空间和公共服务的机会。拥有更多社区支持工具的个人在社区网络中更受欢迎。需要进一步的研究来为社会融合和健康促进干预措施的有效性提供证据
Social Support and Community Integration in Users of Brazil's Basic Social Protection Policy
This study aimed to verify how community participation, family support, and sociodemographic variables relate to community integration. Participants were 201 individuals from the Brazilian state of Rio Grande do Sul, residing in the cities of Porto Alegre and Esteio, who benefited from a basic social protection program, PAIF (Proteção e Atendimento Integral à Família). The non-probability sample was mainly composed of low socioeconomic status women with a low educational level who were beneficiaries of social financial support programs. The research protocol comprised the Inventory of Family Support Perception, the Questionnaire of Community Social Support, and questions about sociodemographic characteristics. Correlation of PAIF participation duration with community integration was weak (r = 0.145, p < 0.05). A linear regression model showed that age (β = 0.323, p < 0.001), the monetary value of the benefit (β = 0.224, p = 0.002), and community participation (β = 0.234, p = 0.002) were predictors, accounting for 30.5% of the variance of community integration. Results indicate that, as people age in the community, they increase their integration. The amounts received by each family probably affect community integration because they expand access to community spaces and public services. Individuals with greater community support tools felt more welcome in the community network. Additional studies are needed to provide evidence for the effectiveness of social integration and health promotion interventions