Programa de Pós Graduação em Saúde Coletiva, Universidade do Vale do Rio dos Sinos , São Leopoldo, Brazil.
Departamento de Nutrição, Universidade Federal de Ciências da Saúde de Porto Alegre , Porto Alegre, Brazil.
Psychol Health Med. 2020 Jul;25(6):719-729. doi: 10.1080/13548506.2019.1653480. Epub 2019 Aug 13.
The study aimed to evaluate the effect of psychosocial aspects on self-reporting of cardiovascular diseases (CVDs). The hypotheses were that psychosocial aspects have a direct or indirect effect on health behaviors, cardiovascular disease risk factors (CVDRFs) and CVDs. A cross-sectional population-based study was conducted with a representative sample of 1100 adults from the urban area of a medium-sized municipality in southern Brazil. Structured interviews were conducted using a standardized and pre-tested questionnaire. The psychosocial aspects included scales of resilience, quality of life, sense of coherence and social support. The outcomes were CVDs and CVDRFs measured by single items asking participants whether a physician had stated that they had heart disease, high blood pressure or high cholesterol/triglycerides or were overweight (BMI≥25 kg/m). Data analysis was based on structural equation models. The final model exhibited good fit : (χ[57] = 155, p < 0.001, root-mean-square error of approximation [RMSEA] = 0.042, confirmatory fit index [CFI] = 0.902 and standardized root-mean-square residual [SRMR] = 0.042). Consistent with our direct effect hypothesis, favorable psychosocial aspects were inversely associated with CVDRFS (β = -0.15, p = 0.011) and with CVDs (β = -0.10, p = 0.048). The indirect effect through health behaviors was not confirmed. The findings suggest that psychosocial aspects may influence the presence of self-reported CVDs or CVDRFS.
本研究旨在评估心理社会因素对心血管疾病(CVDs)自我报告的影响。研究假设是心理社会因素对健康行为、心血管疾病风险因素(CVDRFs)和 CVDs 具有直接或间接影响。本研究采用横断面人群为基础的研究方法,对巴西南部一个中等规模城市城区的 1100 名成年人进行了代表性抽样。使用标准化和预测试的问卷进行了结构访谈。心理社会因素包括弹性、生活质量、应对感和社会支持量表。结果是通过询问参与者是否有医生告知他们患有心脏病、高血压或高胆固醇/甘油三酯或超重(BMI≥25kg/m)来衡量的 CVDs 和 CVDRFs。数据分析基于结构方程模型。最终模型显示出良好的拟合度:(χ[57] = 155,p < 0.001,近似均方根误差 [RMSEA] = 0.042,拟合指数 [CFI] = 0.902,标准化均方根残差 [SRMR] = 0.042)。与我们的直接效应假设一致,有利的心理社会因素与 CVDRFs(β = -0.15,p = 0.011)和 CVDs(β = -0.10,p = 0.048)呈负相关。通过健康行为的间接效应未得到证实。研究结果表明,心理社会因素可能影响自我报告的 CVDs 或 CVDRFs 的存在。