Chinese General Practice ›› 2024, Vol. 27 ›› Issue (08): 936-941.DOI: 10.12114/j.issn.1007-9572.2023.0098

• Original Research • Previous Articles     Next Articles

Relationship between the Temperature-humidity Index of Twenty-four Solar Terms and Depression

  

  1. 1. Department of Geriatrics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 200092 Shanghai, China
    2. Psychology Department, Mental Health Center of Jiading District, 201822 Shanghai, China
    3. School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China
    4. Department of Geriatrics, Fourth People's Hospital of Shanghai, Tongji University, 200434 Shanghai, China
  • Received:2023-01-28 Revised:2023-05-22 Published:2024-03-15 Online:2023-12-19
  • Contact: YANG Ling, LIU Fang

二十四节气的温湿指数与抑郁症的相关性研究

  

  1. 1.200092 上海市,上海交通大学医学院附属新华医院老年科
    2.201822 上海市嘉定区精神卫生中心精神科
    3.200025 上海市,上海交通大学医学院公共卫生学院
    4.200434 上海市,同济大学附属上海市第四人民医院老年科
  • 通讯作者: 杨玲, 刘芳
  • 作者简介:
    作者贡献:张文静、葛旭峰负责论文撰写、数据收集、调查研究;欧茜文、蔡雨阳负责统计分析;杨玲、刘芳对研究进行监督管理,对本文负责。
  • 基金资助:
    上海交通大学中国医院发展研究院医院发展战略研究所项目(HDSI-2022-B-006)

Abstract:

Background

The number of depression patients has exceeded 300 million worldwide, and its high disability rate has attracted global attention. However, the relationship between temperature-humidity index (Humidex) and depression remains to be explored.

Objective

To explore the relationship between Humidex of the twenty-four solar terms and depression.

Methods

Outpatient data of depression patients (n=18 289) admitted to the Psychology Department, Mental Health Center of Jiading District from 2016-10-08 to 2019-10-07 were collected, including gender, age, time of treatment, number of outpatient visits and specialist visits. The data of daily mean temperature, relative humidity, rainfall, air pressure and mean wind speed in Jiading District from 2016-10-08 to 2019-10-07 published by Shanghai Meteorological Bureau were collected to calculate Humidex. The included patients were divided into the groups of ≤18 years (n=157) , 19-44 years (n=3 099) , 45-59 years (n=4 848) , 60-74 years (n=6 270) and≥75 years (n=3 915) according to different ages. The relationship between Humidex of twenty-four solar terms and depression was estimated by using the combination of nonhomogeneous Poisson distribution and distributed-lag nonlinear model. Correlation between Humidex and meteorological variables was calculated using Pearson correlation analysis. Relative risk rates (RR) of Humidex and depression were calculated of twenty-four solar terms using median Humidex as control.

Results

A total of 18 289 patients with depression were included from 2016-10-08 to 2019-10-07, including 6 900 males and 11 389 females. The Lesser Cold solar term corresponded to the lowest average Humidex and highest number of depression patients, the Great Heat solar term corresponded corresponded to the highest average Humidex and lowest number of depression patients from 2016-10-08 to 2017-10-07. The Great Cold solar term corresponded to the lowest average Humidex and highest number of depression patients, the Great Heat solar term corresponded to the highest average Humidex and lowest number of depression patients from 2017-10-08 to 2018-10-07. The Great Cold solar term corresponded to the lowest average Humidex and highest number of depression patients, the Great Heat corresponded to the highest average Humidex and lowest number of depression patients from 2018-10-08 to 2019-10-07. Humidex in 24 solar terms showed a nonlinear relationship with the overall population risk of depression. The top two solar terms corresponding to Humidex of depression risk distribution for total population, male, female, ≤18 years, 19-44 years, 45-59 years, 60-74 years, and ≥75 years were the Great Cold and Beginning of Spring solar terms, Great Heat solar term corresponded to the lowest depression risk distribution. The maximum lag effect was observed on the 10th day of the Great Cold and Beginning of Spring solar terms (RR=1.020, 95%CI=1.001-1.040) , and the lag effect was observed on the 8th day of Great Heat solar term and lasted to the 9th day. The lag effect was observed on the 7th day after the Great Cold and Beginning of Spring and the maximum lag effect was observed on the 9th day (RR=1.054, 95%CI=1.007-1.104) , which lasted until the 11th day in the 60-74 years group. The lag effect was observed on the 1st day and 8th day after the Great Heat, and lasted to the 2nd day and 10th day, respectively, with the maximum lag effect on the 10th day (RR=0.952, 95%CI=0.911-0.994) in male depression patients. The lag effect was observed on the 8th day after the Great Heat solar term and lasted to the 9th day in the 60-74 years group.

Conclusion

Humidex in the Great Cold and Beginning of Spring solar terms are risk factors for depression. Clinically, accurate diagnosis and treatment should be provided for different depression patients according to Humidex in different solar terms, and individualized intervention programs should be formulated.

Key words: Depressive disorder, Humidity, Temperature, Humidex, Solar terms and medicine, 24 solar terms, Correlation study

摘要: 背景 全球抑郁症患者已突破3亿人次,其高致残率引起世界广泛关注。目前温湿指数(Humidex)与抑郁症之间关系的研究较少。目的 探讨二十四节气的Humidex与抑郁症之间的关系。方法 收集上海市嘉定区精神卫生中心精神科2016-10-08—2019-10-07抑郁症患者的就诊资料(n= 18 289),包括性别、年龄、就诊时间、就诊门诊及专家门诊数量。通过上海市气象局公布数据收集嘉定区2016-10-08—2019-10-07日均温度、相对湿度、降雨量、气压和平均风速数据,计算Humidex。将患者依据不同年龄分为≤18岁组(n=157)、19~44岁组(n=3 099)、45~59岁组(n=4 848)、60~74岁组(n=6 270)和≥75岁组(n=3 915)。通过结合类Poisson分布和分布滞后非线性模型估计二十四节气的Humidex与抑郁症之间的关系。运用Pearson相关性分析计算Humidex和气象变量之间的相关性。以中位Humidex作为对照,计算二十四节气的Humidex和抑郁症的相对风险度(RR)。结果 2016-10-08—2019-10-07共纳入抑郁症患者18 289人次,男6 900人次,女11 389人次。2016-10-08—2017-10-07小寒节气对应的平均Humidex最低,抑郁症患者数最多;大暑节气对应的平均Humidex最高,抑郁症患者数最少。2017-10-08—2018-10-07大寒节气对应的平均Humidex最低,抑郁症患者数最多;大暑节气对应的平均Humidex最高,抑郁症患者数最少。2018-10-08—2019-10-07大寒节气对应的平均Humidex最低,抑郁症患者数最多;大暑节气对应的平均Humidex最高,抑郁症患者数最少。二十四节气的Humidex与总人群抑郁症风险呈非线性关系。2016-10-08—2019-10-07总人群、男性、女性、≤18岁、19~44岁、45~59岁、60~74岁和≥75岁抑郁症风险分布前2位Humidex对应的节气分别为大寒、立春,抑郁症风险分布最低Humidex对应的节气为大暑。抑郁症总人群在大寒、立春节气后第10天出现最大滞后效应(RR=1.020,95%CI=1.001~1.040),在大暑节气后第8天出现滞后效应,持续至第9天。60~74岁年龄组人群在大寒、立春节气后第7天出现滞后效应,第9天出现最大滞后效应(RR=1.054,95%CI=1.007~1.104),持续至第11天。男性抑郁症人群在大暑节气后第1天和第8天出现滞后效应,分别持续至第2天和第10天,于第10天出现最大滞后效应(RR=0.952,95%CI=0.911~0.994);60~74岁年龄组人群在大暑节气后第8天出现滞后效应,持续至第9天。结论 大寒、立春节气的Humidex是抑郁症的危险因素,临床上应根据不同节气的Humidex,对抑郁症患者人群做到精准诊疗,制订个体化的干预方案。

关键词: 抑郁症, 湿度, 温度, 温湿指数, 节气和医学, 二十四节气, 相关性研究