How CVD is affected by work control, demand, and support: a study of Swedish working population using effect modifier

Jing Pan; Que Qiu

doi:10.1117/12.2628082

22 April 2022 How CVD is affected by work control, demand, and support: a study of Swedish working population using effect modifier

Jing Pan, Que Qiu

Author Affiliations +

Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 1216314 (2022) https://doi.org/10.1117/12.2628082
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China

Abstract

The study of 13,779 Swedish employees selected randomly focuses on exploring how one’s working environment can affect their cardiovascular disease (CVD) prevalence. It is found that CVD prevalence can be greatly influenced by self reported work control, job demands, and social support from colleagues combined. The prevalence ratio (PR) is 2.17 (95% CI-1.32,3.56) for those who were under a working environment of high demand, low control, and low social support after adjusted by age compare against the workers of a low demand, high control, and high social support. With having age and other 11 possible confounders in consideration and consecutively controlling them, the PRs are about 2.0 in this group. What else to notice is that the age-adjusted PSs was higher for blue collar men. Unfortunately, no causal inferences can be made because of the very nature of the cross-sectional study design. The methodology used and the weakness of the work stress field are discussed in the context. We also will discuss the limitation of this design and what we can do today to improve the accuracy of this study, which would help more patients suffer from CVD. It is a major application of effect modifier.

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Jing Pan and Que Qiu "How CVD is affected by work control, demand, and support: a study of Swedish working population using effect modifier", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 1216314 (22 April 2022); https://doi.org/10.1117/12.2628082

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