| 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].Chinese journal of Epidemiology,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 |
| Received:May 22, 2023 |
| DOI：10.3760/cma.j.cn112338-20230522-00325 |
| KeyWord: 精神分裂症 报告发病率 时空扫描分析 流行特征 |
| English Key Word: Schizophrenia Reported incidence Spatiotemporal scan analysis Epidemiological characteristics |
| FundProject: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） |
| Author Name | Affiliation | E-mail | | Li Lian | Department of Psychiatry, Ningbo Kangning Hospital/Affiliated Mental Health Centre, Ningbo University, Ningbo 315201, China | | | Hong Hang | School of Medicine, Ningbo University, Ningbo 315211, China | | | Zhou Dongsheng | Department of Psychiatry, Ningbo Kangning Hospital/Affiliated Mental Health Centre, Ningbo University, Ningbo 315201, China | | | Fang Ting | School of Medicine, Ningbo University, Ningbo 315211, China | | | Yang Hongying | Department of Psychiatry, Ningbo Kangning Hospital/Affiliated Mental Health Centre, Ningbo University, Ningbo 315201, China | | | Bian Guolin | Department of Psychiatry, Ningbo Kangning Hospital/Affiliated Mental Health Centre, Ningbo University, Ningbo 315201, China | biangl123@163.com | | Xu Guozhang | School of Medicine, Ningbo University, Ningbo 315211, China | xuguozhang@nbu.edu.cn |
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| Abstract: |
| 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。 |
| English Abstract: |
| 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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