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Identification of confounders in the association between self-reported diseases and symptoms and self-rated health in a group of factory workers

机译:在一组工厂工人中识别自我报告的疾病与症状与自我评价健康之间的混淆

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Self-related health is an important predictor of morbidity and mortality, and much of its effect is influenced by the presence of chronic diseases and/or symptoms. The current study aimed to identify confounders in the association between reported chronic diseases and/or symptoms and self-rated health among workers at a metallurgical factory in Santa Catarina State, Brazil. The study design was cross-sectional, with a probabilistic sample of 482 workers. The information was obtained through a self-administered questionnaire and anthropometric measurements. Hierarchical multiple logistic regression models were adjusted. The response rate was 98.6% (n = 475), with 84.8% men, mostly employed on the factory floor (79.4%). Back pain was the most common complaint. The association between chronic diseases and self-rated health showed an odds ratio (OR) of 7.3 (95%CI: 3.7;14.5). After statistical modeling, psychosocial (-25.59%), socioeconomic (-9.29%), and occupational variables (10.54%) were identified as confounders between the outcome and chronic diseases and/or symptoms. The way diseases and/or symptoms act on self-rated health among workers transcends physical aspects.
机译:自相关的健康是发病率和死亡率的重要预测因子,其大部分效果受到慢性疾病和/或症状的存在影响。目前的研究旨在识别在巴西圣卡塔琳娜州的冶金工厂的常年慢性疾病和/或自我评价的人工之间的关联中的混淆。研究设计是横截面,概率样本为482名工人。信息是通过自我管理的问卷和人体测量测量获得的。调整了分层多逻辑回归模型。响应率为98.6%(n = 475),男性84.8%,主要用于工厂地板(79.4%)。背部疼痛是最常见的抱怨。慢性疾病与自我评价的健康之间的关联显示出7.3的差异(或)(95%CI:3.7; 14.5)。统计建模后,心理社会(-25.59%),社会经济(-9.29%)和职业变量(10.54%)被确定为结果和慢性疾病和/或症状之间的混淆。疾病和/或症状对工人之间自评健康的影响超越了物理方面。

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