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首页> 外文期刊>Cadernos de Saúde Pública >Características do ambiente do bairro (coes?o social e seguran?a) e transtornos mentais comuns no estudo ELSA-Brasil: uma análise multinívelCaracterísticas del ambiente en barrios (cohesión social y seguridad) y trastornos mentales frecuentes en el estudi
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Características do ambiente do bairro (coes?o social e seguran?a) e transtornos mentais comuns no estudo ELSA-Brasil: uma análise multinívelCaracterísticas del ambiente en barrios (cohesión social y seguridad) y trastornos mentales frecuentes en el estudi

机译:ELSA-巴西研究中的邻里环境(社会凝聚力和安全性)和常见精神障碍的特征:多层次分析研究中邻里的环境特征(社会凝聚力和安全性)和常见精神障碍

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The purpose of this study was to determine if self-reported characteristics of social cohesion and local neighborhood safety positively affect the mental health of their residents, regardless of individual characteristics. A sample of participants in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) baseline was used. The Clinical Interview Schedule-Revised (CIS-R) instrument was used for tracking common mental disorders (CMD). Social cohesion and safety were measured by validated scales of neighborhood environment self-reported characteristics. The multilevel logistic regression model was used to estimate the effect in neighborhoods (level 2) and individuals (level 1), as well as the odds ratios for each neighborhood explanatory variable and social characteristics in the CMD. The results showed that part of the variance (2.3%), in the common mental disorders prevalence is attributed to local neighborhoods. The characteristics of social cohesion and safety remained significant, even after the adjustment of individual explanatory variables. This study confirmed the hypothesis that individuals living in neighborhoods where they perceive low social cohesion and safety present a higher chance of developing CMD.
机译:这项研究的目的是确定自我报告的社会凝聚力特征和当地社区安全状况是否对居民的心理健康产生积极影响,而与个人特征无关。使用了巴西成人健康纵向研究(ELSA-Brasil)基线的参与者样本。临床访谈时间表修订版(CIS-R)仪器用于追踪常见的精神障碍(CMD)。社会凝聚力和安全性通过邻里环境自我报告特征的有效量表进行测量。多级逻辑回归模型用于估计社区(2级)和个人(1级)的影响,以及CMD中每个社区解释变量和社会特征的优势比。结果表明,在部分常见精神障碍中,部分差异(2.3%)归因于当地社区。即使在调整了单个解释变量之后,社会凝聚力和安全性的特征仍然很重要。这项研究证实了以下假设:生活在社区中的人们缺乏社会凝聚力和安全感,这会增加患CMD的可能性。

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