Jiang Zhou, Zhang Shuo, Chen Keying, Wu Yuxuan, Zeng Ping, Wang Ting
Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China.
Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China; Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China; Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China; Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China; Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China.
Environ Res. 2023 Nov 15;237(Pt 1):116873. doi: 10.1016/j.envres.2023.116873. Epub 2023 Aug 10.
The effects of air pollutants on cardiometabolic diseases (CMDs) have been widely explored, whereas their influences on cardiometabolic multi-morbidity (CMM) were not clear.
We employed the UK Biobank cohort (N = 317,160) to study the association between six air pollutants (PM, PM, PM, PM, NO, and NO) and four CMDs including type II diabetes (T2D), coronary artery disease (CAD), stroke and hypertension. CMM was defined as occurrence of two or more of the four diseases. Multi-state Cox models were performed to estimate hazard ratio (HR) and its 95% confidence interval (95%CI).
During a median follow-up of 12.8 years, 52,211 participants developed only one CMD, 15,446 further developed CMM, and 16,861 ultimately died. It was demonstrated that per interquartile range increase (IQR) increases in PM, PM, PM, PM, NO, and NO would increase 12% (9%-15%), 4% (1%-7%), 3% (1%-6%), 7% (4%-10%), 11% (8%-15%) and 10% (7%-13%) higher risk of developing one CMD from health baseline; 7% (2%-12%), 8% (3%-13%), 6% (2%-11%), 10% (5%-15%), 13% (7%-18%) and 10% (5%-15%) greater risk of occurring CMM from one CMD baseline; and 11% (-2%∼26%), 22% (7%-38%), 17% (3%-32%), 31% (16%-49%), 33% (17%-51%) and 32% (17%-50%) larger risk of causing death from CMM baseline, respectively.
We revealed that people living in areas with high air pollution suffered from higher hazard of CMD, CMM and all-cause mortality; our findings implied keeping clean air was an effective approach to prevent or mitigate initiation, progression, and death from healthy to CMDs and from CMDs to CMM.
空气污染物对心脏代谢疾病(CMD)的影响已得到广泛研究,但其对心脏代谢多发病(CMM)的影响尚不清楚。
我们利用英国生物银行队列(N = 317160)研究六种空气污染物(PM、PM、PM、PM、NO和NO)与四种CMD之间的关联,这四种CMD包括2型糖尿病(T2D)、冠状动脉疾病(CAD)、中风和高血压。CMM被定义为四种疾病中两种或更多种疾病的发生。采用多状态Cox模型估计风险比(HR)及其95%置信区间(95%CI)。
在中位随访12.8年期间,52211名参与者仅患有一种CMD,15446名进一步发展为CMM,16861名最终死亡。结果表明,PM、PM、PM、PM、NO和NO每增加一个四分位间距(IQR),从健康基线发展为一种CMD的风险将分别增加12%(9%-15%)、4%(1%-7%)、3%(1%-6%)、7%(4%-10%)、11%(8%-15%)和10%(7%-13%);从一种CMD基线发生CMM的风险分别增加7%(2%-12%)、8%(3%-13%)、6%(2%-11%)、10%(5%-15%)、13%(7%-18%)和10%(5%-15%);从CMM基线导致死亡的风险分别增加11%(-2%至26%)、22%(7%-38%)、17%(3%-32%)、31%(16%-49%)、33%(17%-51%)和32%(17%-50%)。
我们发现,生活在空气污染严重地区的人群患CMD、CMM和全因死亡率的风险更高;我们的研究结果表明,保持空气清洁是预防或减轻从健康状态发展为CMD以及从CMD发展为CMM的起始、进展和死亡的有效方法。