惠州地区心境障碍发病与气候相关性研究

A Study on Correlation between Mood Disorders and Climate in Huizhou Area

目的系统探究惠州地区心境障碍的发病率与气候之间的相关性,以期为临床做好心境障碍的预防和干预提供理论基础及参考借鉴。方法选取2014年1月1日至2019年12月31日收治于我院的2624例心境障碍患者作为研究对象,通过分析其逐月病案资料,并与同期惠州市月降水量、月平均气温、月平均气压、月平均水气压、月平均相对湿度、月暴雨日数、月大风日数等气象台地面气象观测资料进行相关性分析,以期系统探究惠州地区心境障碍的发病率与气候之间的相关性。结果①在2624例纳入对象中,躁狂发作患者321例,抑郁发作和复发性抑郁障碍患者606例,双相情感障碍患者1693例,其它心境障碍4例;②躁狂发作以及双相情感障碍在春季发病率最高,分别为29.28%(94/321)以及26.52%(449/1693),抑郁发作和复发性抑郁障碍在秋季发病率最高,发病率高达30.20%(183/606);③躁狂发作的发病率与月降水量、月平均相对湿度比较具有统计学意义(P<0.05),双相情感障碍与月降水量、月平均气压、月平均水气压、月平均相对湿度比较具有统计学意义(P<0.05),抑郁发作和复发性抑郁障碍与月降水量、月平均气压、月平均水气压、月平均相对湿度、月大风日数比较具有统计学意义(P<0.05)。结论惠州地区心境障碍的发病率与气候之间存在显著相关性,对心境障碍的预防和干预具有较大的临床意义。

Objective To systematically explore the correlation between the incidence of mood disorders and climate in Huizhou, in order to provide theoretical basis and reference for clinical prevention and intervention of mood disorders. Methods January 1, 2014-December 31, 2019 treated in our hospital 2624 cases of patients with mood disorders as the research object, through the analysis of the medical record information from month to month, and over the same period huizhou monthly precipitation and monthly mean temperature, monthly mean pressure, mean monthly water, monthly mean relative humidity, air pressure in torrential rain days, days in the wind, and other meteorological station ground meteorological observation data correlation analysis, in order to system to explore the huizhou region of the correlation between the incidence of mood disorders and climate. Results(1) Among the 2624 subjects, 321 patients with manic episode, 606 patients with depressive episode and recurrent depressive disorder, 1693 patients with bipolar disorder and 4 patients with other mood disorders were included.(2) Manic episodes and bipolar disorder had the highest incidence in spring 29.28%(94/321) and 26.52%(449/1693), respectively;depressive episodes and recurrent depressive disorder had the highest incidence in autumn 30.20%(183/606).(3) the incidence of manic and monthly precipitation and monthly mean relative humidity was statistically significant(P<0.05), bipolar disorder and monthly precipitation, mean monthly air pressure, mean monthly water, monthly mean relative humidity was statistically significant(P<0.05), a depressive episode and recurrent depression disorder and monthly precipitation, mean monthly air pressure, mean monthly water, monthly mean relative humidity, air pressure in strong wind days is statistically significant(P<0.05). Conclusion There is a significant correlation between the incidence of mood disorders and climate in Huizhou, which is of great clinical significance for the prevention and intervention of mood disorders.