Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, Anhui, China.
Anhui Mental Health Center, Hefei, Anhui, China.
Sci Total Environ. 2019 Jul 1;672:1-6. doi: 10.1016/j.scitotenv.2019.03.436. Epub 2019 Mar 28.
Many studies have investigated the association between schizophrenia and daily mean temperature, but the conclusions were not consistent. Apparent temperature (AT), a comprehensive indicator of temperature and humidity, reflected human thermal sensation more objectively than temperature. We aimed to investigate the relationship between high/low AT and schizophrenia hospitalizations in Hefei, China, and further to identify vulnerable subpopulations.
Poisson generalized linear regression model combined with distributed lag non-linear model (DLNM) was applied to quantify the relationship between AT and schizophrenia hospitalizations, compared with the AT of minimum admissions (3.3 °C). Stratified analysis was conducted by sex, marital status and age. Separate models for AT and temperature were compared as well.
The high AT (90th, 28.3 °C) exerted the greatest effect at lag0, with RR = 1.062 (95%CI, 1.019-1.106). The effect of the low AT (10th, -4.7 °C) was first observed at lag3 (RR = 1.007, 95%CI: 1.000-1.015), and increased to the maximum at lag7 (RR = 1.018, 95%CI: 1.009-1.027). The male patients, the married patients and patients aged 41-60 years appeared to be more vulnerable to both high and low ATs. The values of Akaike Information Criterion and mean squared error (MSE) in model with AT were smaller than that with temperature.
Both high and low ATs were associated with increase in schizophrenia hospitalizations. More protective measures should be taken to avoid adverse AT exposure in susceptible groups.
许多研究调查了精神分裂症与日平均温度之间的关系，但结论并不一致。体感温度（AT）是温度和湿度的综合指标，比温度更客观地反映了人体的热感觉。我们旨在研究中国合肥高/低温体感温度与精神分裂症住院之间的关系，并进一步确定易感人群。
采用泊松广义线性回归模型结合分布滞后非线性模型（DLNM），定量分析体感温度与精神分裂症住院的关系，与最低入院体感温度（3.3°C）进行比较。按性别、婚姻状况和年龄进行分层分析。还比较了体感温度和温度的单独模型。
高温（第 90 百分位，28.3°C）在滞后 0 时的影响最大，RR=1.062（95%CI，1.019-1.106）。低温（第 10 百分位，-4.7°C）的影响最早在滞后 3 时观察到（RR=1.007，95%CI：1.000-1.015），并在滞后 7 时增加到最大值（RR=1.018，95%CI：1.009-1.027）。男性患者、已婚患者和 41-60 岁的患者似乎更容易受到高低体感温度的影响。体感温度模型的赤池信息量准则和均方误差（MSE）值均小于温度模型。
高低体感温度均与精神分裂症住院人数增加有关。应采取更多保护措施，避免易感人群暴露于不利的体感温度环境中。
