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

Journal

ENVIRONMENTAL RESEARCH
Volume 207, Issue -, Pages -

Publisher

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

Keywords

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

Funding

  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

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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.

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