4.7 Article

Short-term effect of meteorological factors on the risk of rheumatoid arthritis hospital admissions: A distributed lag non-linear analysis in Hefei, China

期刊

ENVIRONMENTAL RESEARCH
卷 207, 期 -, 页码 -

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.envres.2021.112168

关键词

Meteorological factors; Diurnal temperature range; Relative humidity; Rheumatoid arthritis; Hospital admissions

资金

  1. First Affiliated Hospital of Anhui Medical University
  2. Second Affiliated Hospital of Anhui Medical University
  3. First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital)
  4. Hefei First People's Hospital
  5. Hefei Second People's Hospital
  6. Hefei Environmental Monitoring Center
  7. Hefei Meteorological Bureau

向作者/读者索取更多资源

This study examined the short-term association of diurnal temperature range (DTR), relative humidity (RH), and other meteorological factors with the hospital admission rate of rheumatoid arthritis (RA) patients. The results showed that high RH and extremely high DTR exposure increased the risk of hospitalization in RA patients. Additionally, females seemed to be more susceptible to high RH and DTR exposure.
Rheumatoid arthritis (RA) is an autoimmune disease, mainly characterized by erosional arthritis. The proportion of adults suffering from RA is about 0.5%-1%. There have been reports on the association of rainfall and traffic-related air pollutants with RA hospitalization rates. However, there have been no studies on the association of diurnal temperature range (DTR) and relative humidity (RH) with RA hospitalization rates. This study aimed to examine the short-term association of DTR, RH and other meteorological factors with the hospital admission rate of RA patients, while excluding the interference of PM2.5, SO2, NO2, CO and O-3 atmospheric pollutants. We collected daily RA occupancy rate and meteorological factor data in Hefei city from 2015 to 2018 and used the generalized additive model (GAM) combined with the distributed lag nonlinear model (DLNM) for time series analysis, and further stratified analysis by gender and age. Single-day and cumulative-day risk estimates of RA admissions were expressed as relative risk (RR) and its 95% confidence interval (95% CI). For the cumulative-day lag model, high RH was statistically significant after cumulative lag 0-8 days, and the effect gradually increases. Stratified analysis shows that females seem to be more susceptible to high or extremely high DTR and RH exposure, and extremely high DTR exposure may increase the risk of RA admission in all populations. In conclusion, this study found that high DTR and high RH exposure increased the risk of hospitalization in RA patients and provided clues to the potential association between other meteorological factors and RA.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据