Bai Lijun, Jiang Yunxing, Wang Kai, Xie Cuiyao, Yan Hairong, You Yu, Liu Huimeng, Chen Juan, Wang Jinxi, Wei Chen, Li Yinxiang, Lei Jian, Su Hong, Sun Shiquan, Deng Furong, Guo Xinbiao, Wu Shaowei
Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, Shaanxi, China.
JAMA Netw Open. 2024 Oct 1;7(10):e2436915. doi: 10.1001/jamanetworkopen.2024.36915.
Schizophrenia episodes may be triggered by short-term environmental stimuli. Short-term increases in ambient air pollution levels may elevate the risk of schizophrenia episodes, yet few epidemiologic studies have examined this association.
To investigate whether short-term increases in air pollution levels are associated with an additional risk of schizophrenia episodes, independent of absolute air pollution concentrations, and whether sustained increases in air pollution levels for several days are associated with more pronounced risks of schizophrenia episodes.
DESIGN, SETTING, AND PARTICIPANTS: This nationwide, population-based, time-stratified case-crossover study was performed based on hospitalization records for schizophrenia across 295 administrative divisions of prefecture-level or above cities in China. Records were extracted from 2 major health insurance systems from January 1, 2013, to December 31, 2017. Thirty-six cities with a small number of schizophrenia hospitalizations (n < 50) were excluded. Data analysis for this study was performed from January to March 2024.
Daily absolute concentrations of fine particulate matter (PM2.5), inhalable particulate matter (PM10), nitrogen dioxide, sulfur dioxide, ozone, and carbon monoxide were collected. Air pollution increases between neighboring days (APINs) were generated as the differences in absolute air pollution concentrations on the current day minus that on the previous day. Sustained increases (APIN ≥5 μg/m3 for PM2.5 and PM10, APIN ≥1 μg/m3 for nitrogen dioxide and sulfur dioxide, and APIN ≥0.05 mg/m3 for carbon monoxide) lasting for 1 or more to 4 or more days were defined for different air pollutants.
Patients with schizophrenia episodes were identified by principal discharge diagnoses of schizophrenia. A conditional logistic regression model was used to capture the associations of absolute concentrations, APINs, and sustained increase events for different air pollutants with risks of schizophrenia hospitalizations.
The study included 817 296 hospitalization records for schizophrenia across 259 Chinese cities (30.6% aged 0-39 years, 56.4% aged 40-64 years, and 13.0% aged ≥65 years; 55.04% male). After adjusting for the absolute concentrations of respective air pollutants, per-IQR increases in 6-day moving average (lag0-5) APINs of PM2.5, PM10, nitrogen dioxide, sulfur dioxide, and carbon monoxide were associated with increases of 2.37% (95% CI, 0.88%-3.88%), 2.95% (95% CI, 1.46%-4.47%), 4.61% (95% CI, 2.93%-6.32%), 2.16% (95% CI, 0.59%-3.76%), and 2.02% (95% CI, 0.39%-3.68%) in schizophrenia hospitalizations, respectively. Greater risks of schizophrenia hospitalizations were associated with sustained increases in air pollutants lasting for longer durations up to 4 or more days.
This case-crossover study of the association between ambient air pollution increases and schizophrenia hospitalizations provides novel evidence that short-term increases in ambient air pollution levels were positively associated with an elevated risk of schizophrenia episodes. Future schizophrenia prevention practices should pay additional attention to APINs, especially sustained increases in air pollution levels for longer durations, besides the absolute air pollution concentrations.
精神分裂症发作可能由短期环境刺激引发。环境空气污染水平的短期升高可能会增加精神分裂症发作的风险,但很少有流行病学研究探讨这种关联。
调查空气污染水平的短期升高是否与精神分裂症发作的额外风险相关(独立于绝对空气污染浓度),以及空气污染水平持续数天升高是否与精神分裂症发作的更显著风险相关。
设计、设置和参与者:这项基于全国人口的时间分层病例交叉研究是根据中国295个地级及以上城市行政区的精神分裂症住院记录进行的。记录从2013年1月1日至2017年12月31日从2个主要医疗保险系统中提取。36个精神分裂症住院病例数较少(n < 50)的城市被排除。本研究的数据分析于2024年1月至3月进行。
收集细颗粒物(PM2.5)、可吸入颗粒物(PM10)、二氧化氮、二氧化硫、臭氧和一氧化碳的每日绝对浓度。相邻日期之间的空气污染增加量(APINs)通过当天绝对空气污染浓度减去前一天的浓度差值得出。针对不同空气污染物定义了持续增加(PM2.5和PM10的APIN≥5 μg/m3,二氧化氮和二氧化硫的APIN≥1 μg/m3,一氧化碳的APIN≥0.05 mg/m3)持续1天或更多至4天或更多天的情况。
通过精神分裂症的主要出院诊断确定精神分裂症发作患者。使用条件逻辑回归模型来捕捉不同空气污染物的绝对浓度、APINs和持续增加事件与精神分裂症住院风险之间的关联。
该研究纳入了中国259个城市的817296份精神分裂症住院记录(0 - 39岁占30.6%,40 - 64岁占56.4%,≥65岁占13.0%;男性占55.04%)。在调整了各自空气污染物的绝对浓度后,PM2.5、PM10、二氧化氮、二氧化硫和一氧化碳的6天移动平均值(滞后0 - 5)APINs每增加一个四分位间距,精神分裂症住院率分别增加2.37%(95%置信区间,0.88% - 3.88%)、2.95%(95%置信区间,1.46% - 4.47%)、4.61%(95%置信区间,2.93% - 6.32%)、2.16%(95%置信区间,0.59% - 3.76%)和2.02%(95%置信区间,0.39% - 3.68%)。精神分裂症住院的更大风险与空气污染物持续增加长达4天或更长时间相关。
这项关于环境空气污染增加与精神分裂症住院之间关联的病例交叉研究提供了新的证据,即环境空气污染水平的短期升高与精神分裂症发作风险升高呈正相关。未来的精神分裂症预防措施除了关注绝对空气污染浓度外,还应特别关注APINs,尤其是空气污染水平持续较长时间的增加。