Chen Y H, Zhang W W, Liu J W, Zhang J R, Liu Z Y, Zhang W J, Zhang Q X, Liu J C, Li M
College of Public Health, Zhengzhou University, Zhengzhou450001, China.
The Second Affiliated Hospital of Zhengzhou University, Zhengzhou450003, China.
Zhonghua Yu Fang Yi Xue Za Zhi. 2025 Jan 6;59(1):39-52. doi: 10.3760/cma.j.cn112150-20241022-00833.
To explore the impact of air pollution on hospital visits for mental and behavioral disorders among residents in an industrial area in Henan Province from 2016 to 2021. Daily outpatient visits data for mental and behavioral disorders were collected from Angang General Hospital in Angang Industrial Area at Anyang City between January 2016 and December 2021. And air pollutants and meteorological data during the same period were also collected. A generalized additive model was used for time-series analysis to examine the relationship between daily average concentrations of nitrogen dioxide (NO), sulfur dioxide (SO), fine particulate matter (PM), inhalable particulate matter (PM), carbon monoxide (CO), and ozone (O) with a lag of 0 to 7 days on the number of visits for mental and behavioral disorders among residents. The single-day lag effect (lag0-lag7 d) and cumulative lag effect (lag01-lag07 d) were analyzed. The smooth cubic spline function was used to fit the exposure-response relationship, and subgroup analysis was performed according to different genders, seasons and ages. A total of 26 268 hospital visits for mental and behavioral disorders were collected from the industrial area between 2016 and 2021. The daily average concentrations of SO, NO, PM, PM, and CO were (27.50±27.33), (43.11±18.33), (73.87±60.30), (134.01±83.81) μg/m, and (1.72±1.03) mg/m, respectively. The daily maximum 8-hour average concentration of O was (82.18±53.70) μg/m. After controlling for long-term trends, temperature, relative humidity, day of the week effects, and holiday effects, the generalized additive model analysis showed that NO had a statistically significant impact on the hospital visits for mental and behavioral disorders at lag0 d, lag2 d and lag01-lag05 d and CO had a statistically significant impact at lag0-lag3 d and lag01-lag06 d (all <0.05). NO at lag02-lag04 d and CO at lag0-lag2 d and lag01-lag04 d had statistically significant effects on the visits for neurasthenia (both <0.05). The impacts of NO at lag03-lag04 d, PM at lag3 d and lag03-lag04 d, PM at lag3 d and lag03 d, and CO at lag3 d and lag01-lag05 d on visits for generalized anxiety disorder were also statistically significant (all <0.05). After false discovery rate (FDR) correction, it was shown that for every 10 μg/m increase in NO and every 0.1 mg/m increase in CO, the percentage increase in visits for mental and behavioral disorders and its 95% confidence interval (95%) were 3.38% (0.95%-5.87%) and 0.78% (0.38%-1.17%), respectively. For every 0.1 mg/m increase in CO, the visits for neurasthenia increased by 0.78% (0.27%-1.29%). For every 10 μg/m increase in PM and every 0.1 mg/m increase in CO, the visits for generalized anxiety disorder increased by 1.07% (0.46%-1.68%) and 1.17% (0.37%-1.97%), respectively (adjusted <0.05). There was a linear exposure-response relationship between NO and CO and the hospital visits for mental and behavioral disorders, CO and the hospital visits for neurasthenia, and CO and PM and the hospital visits for generalized anxiety disorder (<0.05 for the overall association test and >0.05 for the non-linearity test). Stratified analysis showed that air pollutants had an impact on male patients with neurasthenia, female patients with generalized anxiety disorder, individuals aged <45 years with mental and behavioral disorders, and individuals aged ≥65 years with generalized anxiety disorder. The impact of air pollutants was greater during the cold season or winter. Exposure to air pollution can increase hospital visits for mental and behavioral disorders among residents in industrial areas, with a higher risk among those aged<45 years old and during the cold season.
为探讨2016年至2021年河南省某工业区空气污染对居民精神和行为障碍就诊率的影响。收集了2016年1月至2021年12月安阳市安钢工业区安钢总医院精神和行为障碍的每日门诊就诊数据。同时收集了同期的空气污染物和气象数据。采用广义相加模型进行时间序列分析,以检验二氧化氮(NO)、二氧化硫(SO)、细颗粒物(PM)、可吸入颗粒物(PM)、一氧化碳(CO)和臭氧(O)的日平均浓度在滞后0至7天对居民精神和行为障碍就诊次数的影响。分析了单日滞后效应(lag0-lag7 d)和累积滞后效应(lag01-lag07 d)。采用平滑立方样条函数拟合暴露-反应关系,并根据不同性别、季节和年龄进行亚组分析。2016年至2021年期间,该工业区共收集到26268例精神和行为障碍就诊病例。SO、NO、PM、PM和CO的日平均浓度分别为(27.50±27.33)、(43.11±18.33)、(73.87±60.30)、(134.01±83.81)μg/m和(1.72±1.03)mg/m。O的日最大8小时平均浓度为(82.18±53.7)μg/m。在控制长期趋势、温度、相对湿度、星期效应和节假日效应后,广义相加模型分析显示,NO在滞后0 d、滞后2 d和滞后01-滞后05 d对精神和行为障碍就诊率有统计学显著影响,CO在滞后0-滞后3 d和滞后01-滞后06 d有统计学显著影响(均P<0.05)。滞后02-滞后04 d的NO以及滞后0-滞后2 d和滞后01-滞后04 d的CO对神经衰弱就诊率有统计学显著影响(均P<0.05)。滞后03-滞后04 d的NO、滞后3 d和滞后03-滞后04 d的PM、滞后3 d和滞后03 d的PM以及滞后3 d和滞后01-滞后05 d的CO对广泛性焦虑障碍就诊率也有统计学显著影响(均P<0.05)。经假发现率(FDR)校正后,结果显示,NO每增加10 μg/m以及CO每增加0.1 mg/m,精神和行为障碍就诊率的增加百分比及其95%置信区间(95%CI)分别为3.38%(0.95%-5.87%)和0.78%(0.38%-1.17%)。CO每增加0.1 mg/m,神经衰弱就诊率增加0.78%(0.27%-1.29%)。PM每增加10 μg/m以及CO每增加0.1 mg/m,广泛性焦虑障碍就诊率分别增加1.07%(0.46%-1.68%)和1.17%(0.37%-1.97%)(校正后P<0.05)。NO和CO与精神和行为障碍就诊率、CO与神经衰弱就诊率以及CO和PM与广泛性焦虑障碍就诊率之间存在线性暴露-反应关系(总体关联检验P<0.05,非线性检验P>0.05)。分层分析显示,空气污染物对男性神经衰弱患者、女性广泛性焦虑障碍患者、年龄<45岁的精神和行为障碍患者以及年龄≥65岁的广泛性焦虑障碍患者有影响。在寒冷季节或冬季,空气污染物的影响更大。暴露于空气污染会增加工业区居民精神和行为障碍的就诊率,在年龄<45岁的人群以及寒冷季节风险更高。