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温湿指数对精神分裂症急性发作的影响及个体特征的修饰作用

赵德胜 鲍萍 程健 王旭 方诗元 苏虹

赵德胜, 鲍萍, 程健, 王旭, 方诗元, 苏虹. 温湿指数对精神分裂症急性发作的影响及个体特征的修饰作用[J]. 中华疾病控制杂志, 2021, 25(4): 460-465. doi: 10.16462/j.cnki.zhjbkz.2021.04.016
引用本文: 赵德胜, 鲍萍, 程健, 王旭, 方诗元, 苏虹. 温湿指数对精神分裂症急性发作的影响及个体特征的修饰作用[J]. 中华疾病控制杂志, 2021, 25(4): 460-465. doi: 10.16462/j.cnki.zhjbkz.2021.04.016
ZHAO De-sheng, BAO Ping, CHENG Jian, WANG Xu, FANG Shi-yuan, SU Hong. Association of schizophrenia onset with exposure to outdoor thermal comfort: effect modification by individual characteristics[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(4): 460-465. doi: 10.16462/j.cnki.zhjbkz.2021.04.016
Citation: ZHAO De-sheng, BAO Ping, CHENG Jian, WANG Xu, FANG Shi-yuan, SU Hong. Association of schizophrenia onset with exposure to outdoor thermal comfort: effect modification by individual characteristics[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(4): 460-465. doi: 10.16462/j.cnki.zhjbkz.2021.04.016

温湿指数对精神分裂症急性发作的影响及个体特征的修饰作用

doi: 10.16462/j.cnki.zhjbkz.2021.04.016
基金项目: 

国家自然科学基金 8177120532

详细信息
    通讯作者:

    方诗元,E-mail: fangshiyuan2008@126.com

    苏虹,E-mail: suhong5151@sina.com

  • 中图分类号: R741

Association of schizophrenia onset with exposure to outdoor thermal comfort: effect modification by individual characteristics

Funds: 

National Natural Science Fundation of China 8177120532

More Information
  • 摘要:   目的  探索高温湿指数暴露与精神分裂症急性发作之间的关系。  方法  收集2005年1月1日-2014年12月31日合肥每日气象和精神分裂症数据。使用分布滞后非线性模型(distributed lag non-linear model, DLNM)分析温湿指数对精神分裂症急性发作的影响。同时,探讨性别、年龄、婚姻状况和研究时期段对暴露效应所产生的修饰作用。  结果  高温湿指数与精神分裂症急性发作存在相关,在滞后第2天的效应最大(RR=1.031,95% CI: 1.011~1.051,P < 0.05)。按个体特征进行亚组分析时,发现年龄21~60岁、男性和已婚患者相对其他人群更易受到高温湿指数暴露的影响。此外,相比第1个五年(2005-2009年),第2个五年(2010-2014年)高温湿指数暴露的危害效应呈现下降趋势。  结论  高温湿指数是精神分裂症急性发作的危险因素,21~60岁、男性和已婚患者更易受到高温湿指数的影响。
  • 图  1  研究时间段内温湿指数与各气象变量间的相关分析图

    Figure  1.  The pairwise plot of humidex and weather factors during the study period

    图  2  滞后第2天的温湿指数对不同特征精神分裂症患者急性发作的剂量反应图

    Figure  2.  The dose-response relationship between humidex and patients with different characteristics of schizophrenia at 2 days lag

    图  3  两个时间段中温湿指数和精神分裂症急性发作之间的暴露-反应关系

    Figure  3.  The exposure-response associations between humidex and schizophrenia onset at two periods

    表  1  合肥市2005-2014年(4-10月)每日气象特征

    Table  1.   Characteristics of daily meteorology in Hefei from 2005 to 2014 (April-October)

    气象变量 每日气象变量值
    x±s P5 P25 P50 P75 P95
    温湿指数 30.5±9.0 16.0 23.0 31.0 38.0 44.0
    平均温度(℃) 23.5±5.1 14.7 19.9 23.8 27.5 31.2
    相对湿度(%) 75.2±12.8 52.0 67.0 76.0 85.0 94.0
    降雨量(mm) 3.7±11.3 0.0 0.0 0.0 0.9 22.8
    气压(hPa) 1 007.3±6.6 998.1 1 002.2 1 006.2 1 012.1 1 018.8
    风速(m/s) 2.2±0.9 1.1 1.6 2.0 2.6 3.9
    下载: 导出CSV

    表  2  合肥市2005-2014年(4-10月)每日精神分裂症急性发作病例数

    Table  2.   Daily schizophrenic onset cases in Hefei from 2005 to 2014 (April-October)

    变量 总病例数 每日病例数
    x±s P5 P25 P50 P75 P95
    性别
      男 10 332 4.8±2.5 1 3 5 6 9
      女 10 779 5.0±2.6 1 3 5 7 10
    年龄(岁)
      0~<21 4 168 2.0±1.4 0 1 2 3 4
      21~<41 10 842 5.2±2.6 1 3 5 7 10
      41~<61 5 076 2.4±1.6 0 1 2 3 5
      ≥61 1 025 0.5±0.7 0 0 0 1 2
    婚姻状况
      已婚 14 976 7.0±3.6 2 4 7 9 14
      未婚 6 135 2.9±2.1 0 1 2 4 7
    总人数 21 111 9.9±4.1 4 7 9 12 17
    下载: 导出CSV

    表  3  不同滞后天数下高温湿指数对精神分裂症急性发作的影响(P75温湿指数与P50温湿指数比较)

    Table  3.   The effects of high humidex on schizophrenia onset at various lag days, comparing P75 humidex to 50th percentile

    分组 当天 滞后1 d 滞后2 d 滞后3 d 滞后4 d 滞后5 d
    性别
      男 1.015 (0.971~1.061) 1.033 (1.014~1.053)a 1.044 (1.015~1.073)a 1.036 (1.008~1.066)a 1.012 (0.994~1.031) 0.980 (0.938~1.024)
      女 1.009 (0.966~1.054) 1.015 (0.997~1.034) 1.018 (0.990~1.046) 1.014 (0.987-1.043) 1.004 (0.986~1.022) 0.991 (0.949~1.034)
    年龄(岁)
      0~<21 1.023 (0.952~1.099) 1.022 (0.992~1.053) 1.021 (0.976~1.068) 1.019 (0.974~1.067) 1.017 (0.987~1.047) 1.014 (0.944~1.088)
      21~<41 1.007 (0.965~1.052) 1.026 (1.008~1.045)a 1.036 (1.008~1.065)a 1.028 (1.001~1.057)a 1.003 (0.985~1.021) 0.969 (0.928~1.011)
      41~<61 0.988 (0.926~1.054) 1.022 (0.995~1.051) 1.046 (1.004~1.090)a 1.047 (1.005~1.091)a 1.025 (0.997~1.053) 0.991 (0.929~1.058)
      ≥61 1.098 (0.945~1.275) 1.027 (0.965~1.092) 0.976 (0.887~1.075) 0.959 (0.871~1.056) 0.973 (0.914~1.036) 1.004 (0.866~1.164)
    婚姻状况
      已婚 1.001 (0.964~1.038) 1.022 (1.006~1.037)a 1.034 (1.010~1.059)a 1.029 (1.006~1.054)a 1.008 (0.993~1.024) 0.979 (0.944~1.015)
      未婚 1.055 (0.995~1.119) 1.021 (0.948~1.100) 1.014 (0.977~1.052) 1.004 (0.968~1.042) 1.003 (0.979~1.028) 1.006 (0.949~1.067)
    总人群 1.011 (0.981~1.043) 1.024 (1.011~1.037)a 1.031 (1.011~1.051)a 1.025 (1.005~1.046)a 1.008 (0.995~1.021) 0.985 (0.955~1.016)
    注:aP < 0.05。
    下载: 导出CSV
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  • 收稿日期:  2020-02-12
  • 修回日期:  2021-01-11
  • 网络出版日期:  2021-05-11
  • 刊出日期:  2021-04-10

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