Abstract
Objectives
The aim of this study was to investigate the relationship between air temperature and the risk of hospitalization for genitourinary disorders.
Methods
Distributed lag non-linear models (DLNM) were used to estimate the association between air temperature and the risk of hospitalization for genitourinary disorders, with subgroup analysis by gender and age to identify the susceptible population of temperature-sensitive genitourinary system diseases.
Results
Low mean temperature (MT) (RR = 2.001, 95% CI: 1.856~2.159), high MT (RR = 2.884, 95% CI: 2.621~3.173) and low diurnal temperature range (DTR) (RR = 1.619, 95% CI: 1.508~1.737) were all associated with the increased risk of hospitalization for genitourinary disorders in the total population analysis, and the high MT effect was stronger than the low MT effect. Subgroup analysis found that high MT was more strongly correlated in male (RR = 2.998, 95% CI: 2.623~3.427) and those <65 years (RR = 3.003, 95% CI: 2.670~3.344), and low DTR was more strongly correlated in female (RR = 1.669, 95% CI: 1.510~1.846) and those <65 years (RR = 1.643, 95% CI: 1.518~1.780).
Conclusions
The effect of high MT on the risk of hospitalization for genitourinary disorders is more significant than that of low MT. DTR was independently associated with the risk of hospitalization for genitourinary disorders.
Funder
Gansu Provincial Science and Technology Program Project
Publisher
Public Library of Science (PLoS)
Reference38 articles.
1. Association between ambient temperature and cause-specific respiratory outpatient visits: A case-crossover design with a distributed lag nonlinear model in Lanzhou, China;R Yang;Urban Climate,2022
2. Association between ambient temperature and cause-specific cardiovascular disease admissions in Japan: A nationwide study;R Pan;Environ Res,2023
3. Short-term effect of apparent temperature on daily emergency visits for mental and behavioral disorders in Beijing, China: A time-series study;Y Niu;Sci Total Environ,2020
4. Associations of cold exposure with hospital admission and mortality due to acute kidney injury: A nationwide time-series study in Korea;KN Kim;Sci Total Environ,2023