谷歌浏览器插件
订阅小程序
在清言上使用

COVID-19 Pandemic Unmasking Cardiovascular Risk Factors and Non-Communicable Diseases among Migrant Workers: a Cross-Sectional Study in Singapore

BMJ open(2022)

引用 3|浏览9
暂无评分
摘要
ObjectivesThis study aims to report the prevalence of cardiovascular risk factors (CVRFs) and other non-communicable diseases among migrant workers in Singapore admitted for COVID-19 infection, to highlight disease burden and the need for changes in health screening and healthcare delivery in this unique population.SettingThe study was conducted in the largest tertiary hospital in Singapore.DesignRetrospective cross-sectional study.Participants883 migrant workers who had mild or asymptomatic COVID-19 infection admitted to three isolation wards between 6 April 2020 and 31 May 2020 were included in this study.Outcome measuresThe outcome measures were the prevalence of pre-existing and newly diagnosed comorbid conditions and the prevalence of CVRFs—diabetes mellitus, hypertension and hyperlipidaemia—and non-communicable diseases at the time of discharge. The OR of having specific CVRFs depending on country of origin was generated via multivariate logistic regression analysis.ResultsThe median age of our study population was 45 years. 17.0% had pre-existing conditions and 25.9% received new diagnoses. Of the new diagnoses, 15.7% were acute medical conditions and 84.3% chronic medical conditions. The prevalence of CVRFs was higher in Southeast Asian and South Asian migrant workers compared with Chinese. The prevalence of non-communicable diseases on discharge was highest among Southeast Asians (49.4%).ConclusionsThe COVID-19 outbreak in a large number of migrant workers in Singapore unmasked a significant disease burden among them, increasing stakeholders’ interests in their welfare. Moving forward, system-level changes are necessary to deliver healthcare sustainably and effect improvements in migrant workers’ health.
更多
查看译文
关键词
COVID-19,Public health,Epidemiology,Lipid disorders,Hypertension,General diabetes
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要