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基于GBD的中国10~24岁儿童青少年人群疾病负担分析与趋势研究

Analysis and Trend Study on Disease Burden among Children and Adolescents Aged 10 to 24 in China Based on GBD

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【作者】 安雨婷; 王诗镔; 王耀国; 唐诗诗; 郑凯哲; 周毅;

【Author】 AN Yuting;WANG Shibin;WANG Yaoguo;TANG Shishi;ZHENG Kaizhe;ZHOU Yi;School of Public Health,Xinjiang Medical University;Guangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences),Guangdong Mental Health Center;Zhongshan School of Medicine,Sun Yat-sen University;

【通讯作者】 周毅;

【机构】 新疆医科大学公共卫生学院; 广东省人民医院(广东省医学科学院)/广东省精神卫生中心; 中山大学中山医学院;

【摘要】 目的/意义 分析中国1990—2021年10~24岁人群1—3级病因的疾病负担及变化情况,为优化相关疾病防治工作提供依据。方法/过程 基于2021年全球疾病负担中国数据,利用R 4.3.1分析死亡率、发病率、患病率和DALY率等指标,并通过Joinpoint 5.2.0软件的对数线性回归模型计算平均年度变化百分比。结果/结论 1990—2021年10~24岁人群第1类疾病负担整体呈下降趋势,但HIV/AIDS和性传播感染的DALY率显著上升。非传染性疾病的发病率波动较小,且患病率维持在较高水平,DALY率高于其他疾病。未来应聚焦非传染病防控,引导儿童青少年养成健康生活习惯,以减轻其长期疾病负担。

【Abstract】 Purpose/Significance To evaluate the disease burden and temporal trends of level 1 to level 3 causes of diseases among the 10 to 24 age group in China from 1990 to 2021, and to provide a basis for optimization of relevant disease prevention and control efforts. Method/Process Based on the Chinese data from the global burden of disease(GBD) 2021, indicators such as mortality, incidence, prevalence, and DALY rate are analyzed using R 4.3.1. The Joinpoint 5.2.0 is utilized to calculate the average annual percent change(AAPC) via a log-linear model.Result/Conclusion From 1990 to 2021, the overall burden of the first kind of diseases among the 10 to 24 age group shows a downward trend, but the DALY rate for HIV/AIDS and sexually transmitted infections increases significantly. Non-communicable diseases(NCD) maintain high prevalence, and their DALY rate level consistently surpasses that of other disease groups. In the future, efforts should be focused on the prevention and control of NCD, guiding children and adolescents to develop healthy lifestyle to mitigate their long-term disease burden.

【关键词】 儿童; 青少年; 疾病负担; 精神障碍;
【Key words】 children; adolescents; disease burden; mental disorders;
【基金】 国家重点研发计划项目(项目编号:2022YFC3601600);广东省自然科学基金项目(项目编号:2024A1515011989);中山大学高校基本科研业务费项目(项目编号:24xkjc025)
  • 【文献出处】 医学信息学杂志 ,Journal of Medical Informatics , 编辑部邮箱 ,2025年12期
  • 【分类号】R179
  • 【下载频次】56
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