The Risk of Stroke in Physicians A Population-based Cohort Study in Taiwan

Hon Pheng Tam, Hung Jung Lin, Shih Feng Weng, Chien Chin Hsu, Jhi Joung Wang, Shih Bin Su, Chien Cheng Huang, How Ran Guo

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12 Citations (Scopus)

Abstract

Background: Physicians in Taiwan work in stressful workplaces and have heavy workloads, both of which may contribute to the occurrence of a stroke. However, it is not clear whether they have a higher risk of stroke. Therefore, we conducted a population-based cohort study to compare the risks of stroke between physicians and the general population and among subgroups of physicians in Taiwan. Methods: In the National Health Insurance Research Database of Taiwan, we identified 28,062 physicians and selected 84,186 ageand sex-matched nonmedical staff beneficiaries as the references. Using conditional logistic regression, we compared the prevalence of stroke between physicians and references. In addition, we made comparisons among subgroup of physicians defined by age, sex, comorbidity, specialty, and the level of hospital. Results: During the study period, physicians had higher prevalence rates of hypertension (23.6% vs. 19.1%), hyperlipidemia (21.4% vs. 12.9%), and coronary artery disease (CAD) (6.4% vs. 5.7%) than the referent group, but they had a lower risk of stroke with an odds ratio of 0.61 (95% confidence interval = 0.55, 0.66) after adjusting for hypertension, diabetes, hyperlipidemia, CAD, and active worker. Among physicians, the risks were higher in those who were older or had hypertension, diabetes, hyperlipidemia, or CAD. Conclusions: Despite having higher prevalence rates of hypertension, hyperlipidemia, and CAD and working in stressful workplaces with heavy workloads, our study suggests that physicians in Taiwan have a lower risk of stroke compared with the general population. These results may indicate the benefits of higher awareness and more knowledge of diseases.

Original languageEnglish
Pages (from-to)S48-S53
JournalEpidemiology
Volume28
DOIs
Publication statusPublished - 2017 Oct 1

All Science Journal Classification (ASJC) codes

  • Epidemiology

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