文章摘要
李链,洪航,周东升,方挺,杨红英,边国林,许国章.宁波市2018-2022年精神分裂症流行特征和时空聚集性分析[J].中华流行病学杂志,2023,44(12):1916-1920
宁波市2018-2022年精神分裂症流行特征和时空聚集性分析
Epidemiological characteristics and spatiotemporal distribution of schizophrenia in Ningbo, 2018-2022
收稿日期:2023-05-22  出版日期:2023-12-15
DOI:10.3760/cma.j.cn112338-20230522-00325
中文关键词: 精神分裂症  报告发病率  时空扫描分析  流行特征
英文关键词: Schizophrenia  Reported incidence  Spatiotemporal scan analysis  Epidemiological characteristics
基金项目:宁波市医学重点扶植学科建设项目(2022-F28);宁波市医疗卫生品牌学科(PPXK2018-08)
作者单位E-mail
李链 宁波市康宁医院/宁波大学附属精神卫生中心精神科, 宁波 315201  
洪航 宁波大学医学部, 宁波 315211  
周东升 宁波市康宁医院/宁波大学附属精神卫生中心精神科, 宁波 315201  
方挺 宁波大学医学部, 宁波 315211  
杨红英 宁波市康宁医院/宁波大学附属精神卫生中心精神科, 宁波 315201  
边国林 宁波市康宁医院/宁波大学附属精神卫生中心精神科, 宁波 315201 biangl123@163.com 
许国章 宁波大学医学部, 宁波 315211 xuguozhang@nbu.edu.cn 
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中文摘要:
      目的 探讨2018-2022年宁波市精神分裂症报告发病率时空分布特征,为精神卫生资源合理配置和精神分裂症综合防治提供科学依据。方法 收集宁波市精神卫生信息管理系统中2018-2022年精神分裂症报告发病数据,以镇(街道、乡)为单位计算报告发病率。采用空间相关分析和时空扫描分析方法,研究精神分裂症的时空聚集性。结果 2018-2022年宁波市精神分裂症报告发病率呈下降趋势,共报告4 133例新发病例,年平均报告发病率为9.76/10万。全局和局部空间自相关分析显示,2018-2020年存在空间正相关性和热点地区。时空扫描分析发现1个发病聚集区,聚集时间为2018-2019年,集群中心为宁波市海曙区洞桥镇,RR值为2.46,对数似然比为256.89。结论 宁波市精神分裂症发病存在明显的时空聚集性,探索出的高发区域能够为进一步研究环境因素与精神分裂症发病关联提供线索,对宁波市精神卫生资源合理分配具有指导意义。
英文摘要:
      Objective To explore the temporal and spatial distribution characteristics of reported incidence of schizophrenia in Ningbo from 2018 to 2022 and to provide a scientific basis for rational allocation of mental health resources and comprehensive prevention and treatment of schizophrenia. Methods The reported incidence data of schizophrenia from 2018 to 2022 were collected from Ningbo's mental health information management system, and the reported incidence was calculated by township. The spatial correlation analysis and the spatiotemporal scan analysis were used to study the spatiotemporal distribution of schizophrenia. Results The reported incidence of schizophrenia decreased from 2018 to 2022, with 4 133 new cases reported, and the annual average reported incidence was 9.76/100 000. Global and local spatial autocorrelation analysis showed positive spatial correlations and hot spots in 2018-2020. The space-time scan analysis showed an incidence cluster in Dongqiao Town, Haishu District, during 2018-2019. The RR was 2.46, and the log-likelihood ratio was 256.89. Conclusions The reported incidence of schizophrenia in Ningbo has obvious temporal and spatial aggregation, and the high incidence area explored can provide clues for further research on the correlation between environmental factors and the incidence of schizophrenia and has certain guiding significance for the rational allocation of mental health resources in Ningbo.
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