Effects of extreme precipitation on hospitalization risk and disease burden of schizophrenia in urban and rural Lu’an, China, from 2010 to 2019
2022
Wu, Yudong | Yao, Zhenghai | Ma, Gongyan | Cheng, Jian | Xu, Huabin | Qin, Wei | Yi, Weizhuo | Pan, Rubing | Wei, Qiannan | Tang, Chao | Liu, Xiangguo | He, Yangyang | Yan, Shuangshuang | Li, Yuxuan | Jin, Xiaoyu | Liang, Yunfeng | Sun, Xiaoni | Mei, Lu | Song, Jian | Song, Shasha | Su, Hong
With the increasing frequency of extreme events caused by global climate change, the association between extreme precipitation (EP) and disease has aroused concern currently. However, no study has examined the relationship between EP and schizophrenia. Our study aimed to explore the relationship between EP and schizophrenia, and to further examine the difference between urban and rural areas. This study used quasi-Poisson generalized linear regression model combined with distributed lag non-linear model (DLNM) to estimate the association between EP (≥ 95th percentile) and hospitalization for schizophrenia from 2010 to 2019 in the city of Lu’an, China. EP could significantly increase the risk of hospitalization for schizophrenia. The effect firstly appeared at lag1 [relative risk (RR): 1.056, 95% confidence interval (95%CI): 1.003–1.110] and continued until lag17 (RR: 1.039, 95%CI: 1.004–1.075). Our research showed that EP had a significant effect on the hospitalization for schizophrenia in both urban and rural areas, and no significant difference was found (p>0.05). EP exerted more acute effects on schizophrenia living in rural areas than those in urban areas in the cold season. Further studies on the burden of schizophrenia found that patients who are male, aged ≤ 39 years or less, and living in urban areas are a priority for future warnings. We should pay more attention to the impact of EP on burden of schizophrenia, especially during the cold season, targeting those vulnerable groups, thereby implementing more accurate and timely preventive measures.
显示更多 [+] 显示较少 [-]