Department of Social Medicine and Health Management, School of Health Management, Anhui Medical University, Hefei, China.
Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China.
BMC Public Health. 2022 Sep 9;22(1):1710. doi: 10.1186/s12889-022-14085-w.
The purpose of this study was to explore the impact of extreme precipitation on the risk of outpatient visits for depression and to further explore its associated disease burden and vulnerable population.
A quasi-Poisson generalized linear regression model combined with distributed lag non-linear model (DLNM) was used to investigate the exposure-lag-response relationship between extreme precipitation (≥95th percentile) and depression outpatient visits from 2017 to 2019 in Suzhou city, Anhui Province, China.
Extreme precipitation was positively associated with the outpatient visits for depression. The effects of extreme precipitation on depression firstly appeared at lag4 [relative risk (RR): 1.047, 95% confidence interval (CI): 1.005-1.091] and lasted until lag7 (RR = 1.047, 95% CI: 1.009-1.087). Females, patients aged ≥65 years and patients with multiple outpatient visits appeared to be more sensitive to extreme precipitation. The attributable fraction (AF) and numbers (AN) of extreme precipitation on outpatient visits for depression were 5.00% (95% CI: 1.02-8.82%) and 1318.25, respectively.
Our findings suggested that extreme precipitation may increase the risk of outpatient visits for depression. Further studies on the burden of depression found that females, aged ≥65 years, and patients with multiple visits were priority targets for future warnings. Active intervention measures against extreme precipitation events should be taken to reduce the risk of depression outpatient visits.
本研究旨在探讨极端降水对抑郁症门诊就诊风险的影响，并进一步探讨其相关疾病负担和脆弱人群。
采用准泊松广义线性回归模型结合分布式滞后非线性模型（DLNM），研究 2017-2019 年安徽省苏州市极端降水（≥第 95 百分位数）与抑郁症门诊就诊之间的暴露-滞后-反应关系。
极端降水与抑郁症门诊就诊呈正相关。极端降水对抑郁症的影响最早出现在滞后 4 天（相对风险 RR：1.047，95%置信区间 CI：1.005-1.091），并持续至滞后 7 天（RR=1.047，95%CI：1.009-1.087）。女性、≥65 岁患者和多次门诊就诊患者对极端降水更为敏感。极端降水导致抑郁症门诊就诊的归因分数（AF）和人数（AN）分别为 5.00%（95%CI：1.02-8.82%）和 1318.25。
本研究结果表明，极端降水可能会增加抑郁症门诊就诊的风险。对抑郁症负担的进一步研究表明，女性、≥65 岁和多次就诊患者是未来预警的优先目标。应采取针对极端降水事件的积极干预措施，以降低抑郁症门诊就诊的风险。
