沙马补都,余彬,杨淑娟,莫洛伍牛莫,罗阿荣,孙秀霞,冯传腾,王梓航,能格阿几,李天露,王忠红,王菊,冯晓英,余刚,吉克春农.2020年四川省凉山彝族自治州HIV/AIDS流动情况及相关因素分析[J].中华流行病学杂志,2022,43(1):44-49 |
2020年四川省凉山彝族自治州HIV/AIDS流动情况及相关因素分析 |
Analysis on migration of HIV/AIDS cases and related factors in Liangshan Yi Autonomous Prefecture in Sichuan province, 2020 |
收稿日期:2021-08-27 出版日期:2022-01-26 |
DOI:10.3760/cma.j.cn112338-20210827-00686 |
中文关键词: 艾滋病病毒/艾滋病 流动 相关因素 病例管理 |
英文关键词: HIV/AIDS Migration Related factor Case management |
基金项目:国家自然科学基金(81703279);四川省科技计划(2019YJ0148);中央财政项目-四川省HIV/AIDS相关重点人群流动性及防控模式研究(zc202101);凉山州科技计划重点研发(21ZDYF0045) |
作者 | 单位 | E-mail | 沙马补都 | 凉山彝族自治州疾病预防控制中心艾滋病预防控制所, 西昌 615000 | | 余彬 | 四川大学华西第二医院/出生缺陷与相关妇儿疾病教育部重点实验室, 成都 610041 | | 杨淑娟 | 四川大学华西公共卫生学院/华西第四医院, 成都 610041 | rekiny@126.com | 莫洛伍牛莫 | 凉山彝族自治州疾病预防控制中心艾滋病预防控制所, 西昌 615000 | | 罗阿荣 | 凉山彝族自治州疾病预防控制中心艾滋病预防控制所, 西昌 615000 | | 孙秀霞 | 凉山彝族自治州疾病预防控制中心艾滋病预防控制所, 西昌 615000 | | 冯传腾 | 四川大学华西公共卫生学院/华西第四医院, 成都 610041 四川大学灾后重建与管理学院, 成都 610207 | | 王梓航 | 四川大学华西公共卫生学院/华西第四医院, 成都 610041 | | 能格阿几 | 凉山彝族自治州疾病预防控制中心艾滋病预防控制所, 西昌 615000 | | 李天露 | 凉山彝族自治州疾病预防控制中心艾滋病预防控制所, 西昌 615000 | | 王忠红 | 凉山彝族自治州疾病预防控制中心艾滋病预防控制所, 西昌 615000 | | 王菊 | 凉山彝族自治州疾病预防控制中心艾滋病预防控制所, 西昌 615000 | | 冯晓英 | 凉山彝族自治州疾病预防控制中心艾滋病预防控制所, 西昌 615000 | | 余刚 | 凉山彝族自治州疾病预防控制中心艾滋病预防控制所, 西昌 615000 | | 吉克春农 | 凉山彝族自治州疾病预防控制中心艾滋病预防控制所, 西昌 615000 | |
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中文摘要: |
目的 分析凉山彝族自治州(凉山州)现存活艾滋病病毒感染者/艾滋病病例(HIV/AIDS)流动情况及相关因素。方法 根据我国艾滋病综合防治信息系统,纳入凉山州2020年有随访记录的28 772例HIV/AIDS作为研究对象,分析其流动情况,采用多因素logistic回归模型分析流动的相关因素,绘制HIV/AIDS流入地的疫情地图。结果 28 772例HIV/AIDS中,2020年发生流动的占20.89%(6 010/28 772)。多因素logistic回归分析结果显示,HIV/AIDS流动的促进因素包括15~24岁年龄组(相比于0~14岁年龄组,OR=2.74,95%CI:2.04~3.69)、彝族(相比于汉族,OR=2.44,95%CI:2.19~2.72)、初中文化程度(相比于小学及以下文化程度,OR=1.25,95%CI:1.14~1.38)、未婚(相比于已婚,OR=1.29,95%CI:1.20~1.39)、职业为商业服务(相比于农民,OR=1.96,95%CI:1.31~2.92)、抗病毒治疗时间 < 1年(相比于抗病毒治疗时间 > 3年,OR=1.42,95%CI:1.26~1.61)、最近1次CD4+T淋巴细胞计数(CD4) > 500个/μl(相比于CD4 < 200个/μl,OR=1.15,95%CI:1.03~1.29)。地理分布结果显示,2020年HIV/AIDS在四川省内流入地以西昌市(13.26%,797/6 010)和成都市(10.12%,608/6 010)为主,在四川省外流入地以广东省(18.19%,1 093/6 010)和浙江省(7.67%,461/6 010)为主。在凉山州内流动、四川省内及凉山州外流动、四川省外流动的分别占27.67%(1 663/6 010)、15.34%(922/6 010)和56.99%(3 425/6 010)。结论 应关注凉山州HIV/AIDS的流动特征,根据HIV/AIDS特征进行人群分类管理,在HIV/AIDS流动时,及时获取HIV/AIDS工作和居住地发生变化的信息,做好流动HIV/AIDS的转介和管理工作,减少该人群的失访和干预难度。 |
英文摘要: |
Objective To analyze the migration of the HIV/AIDS cases and related factors in Liangshan Yi autonomous prefecture (Liangshan).Methods According to HIV/AIDS Comprehensive Response Information Management System of China Information System for Disease Control and Prevention, a total of 28 772 HIV/AIDS cases who had follow-up records in Liangshan in 2020 were included in the survey. The migration of the HIV/AIDS cases was described and the related factors were analyzed using multiple logistic regression models, and the migration destinations of the HIV/AIDS cases were mapped.Results Among the 28 772 HIV/AIDS cases, 20.89% (6 010/28 772) had migration in 2020. Multivariate logistic regression analysis showed that among the HIV/AIDS cases, the migration related factors included being aged 15-24 years (compared with being aged 0-14 years, OR=2.74, 95%CI: 2.04-3.69) and ethnic group (compared with Han ethnic group, OR=2.44, 95%CI: 2.19-2.72), having education level of junior high school (compared with having education level of primary school or below, OR=1.25, 95%CI: 1.14-1.38), being unmarried (compared with being married, OR=1.29, 95%CI: 1.20-1.39), being engaged in business services (compared with being engaged in farming, OR=1.96, 95%CI: 1.31-2.92), receiving antiviral treatment < 1 year (compared with receiving antiviral treatment > 3 years, OR=1.42, 95%CI: 1.26-1.61), having recent CD4+T lymphocytes (CD4) counts > 500 cells/μl (compared with having recent CD4 counts < 200 cells/μl, OR=1.15, 95%CI: 1.03-1.29). The geographical distribution maps showed that among all cities in Sichuan, Xichang (13.26%, 797/6 010) and Chengdu (10.12%, 608/6 010) were the main migration destinations of the HIV/AIDS cases, and the provinces outside Sichuan where the HIV/AIDS cases would like to migrate to were mainly Guangdong (18.19%, 1 093/6 010) and Zhejiang provinces (7.67%, 461/6 010) in 2020. The HIV/AIDS cases who migrated where Liangshan, within Sichuan province, and to other provinces accounted for 27.67% (1 663/6 010), 15.34% (922/6 010) and 56.99% (3 425/6 010), respectively.Conclusions More attention should be paid to the mobility characteristics and the classification management of HIV/AIDS cases according to their characteristics in Liangshan. Timely access to information on changes in the place of work and residence of HIV/AIDS cases should be warranted when they have migration. Good referrals and management for mobility of HIV/AIDS cases in different places should be made to reduce loss to follow-up and improving interventions. |
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