期刊论文详细信息
Cadernos de Saúde Pública
Identification of confounders in the association between self-reported diseases and symptoms and self-rated health in a group of factory workers
Doroteia Aparecida Höfelmann2  Nelson Blank1 
[1] ,Universidade do Vale do Itajaí Centro de Ciências da Saúde Itajaí,Brasil
关键词: Health Evaluation;    Chronic Disease;    Metalmechanic Industry;    Occupational Health;    Avaliação em Saúde;    Doença Crônica;    Indústria Metalurgica;    Saúde do Trabalhador;   
DOI  :  10.1590/S0102-311X2008000500005
来源: SciELO
PDF
【 摘 要 】

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.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License

【 预 览 】
附件列表
Files Size Format View
RO202103040089735ZK.pdf 124KB PDF download
  文献评价指标  
  下载次数:0次 浏览次数:2次