山东大学学报 (医学版) ›› 2023, Vol. 61 ›› Issue (5): 84-89.doi: 10.6040/j.issn.1671-7554.0.2022.1204
张蒙,马伟
ZHANG Meng, MA Wei
摘要: 目的 分析1990—2019年中国人类免疫缺陷病毒/获得性免疫缺陷综合征(HIV/AIDS)疾病流行现状、负担及危险因素变化趋势,预测2020—2030年HIV/AIDS发病和死亡情况。 方法 探讨1990—2019年中国HIV/AIDS疾病的流行现状,通过Joinpoint回归拟合其发病率和疾病负担变化趋势。采用集成嵌套拉普拉斯近似(INLA)的贝叶斯年龄-时期-队列分析(BAPC)方法预测2020—2030年HIV/AIDS发病和死亡趋势。 结果 1990—2019年中国男性HIV/AIDS标化发病率、标化死亡率高于女性,15~19岁、20~24岁标化发病率总体呈增长趋势,75~79岁标化发病率变化幅度最大。1990—2019年中国HIV/AIDS标化发病率、标化伤残调整寿命年(DALYs)率均呈上升趋势,差异具有统计学意义(P均<0.001);归因于危险性行为的标化DALYs率最高。BAPC预测结果显示,2020—2030年中国男性HIV/AIDS标化死亡率呈上升趋势。 结论 中国青少年HIV/AIDS发病风险持续增加,老年群体死亡风险也不容忽视;HIV/AIDS疾病负担呈上升趋势,危险性行为是首要危险因素。未来应针对重点人群采取预防和控制措施。
中图分类号:
| [1] Xu JJ, Han MJ, Jiang YJ, et al. Prevention and control of HIV/AIDS in China: lessons from the past three decades[J]. Chin Med J(Engl), 2021, 134(23): 2799-2809. [2] GBD 2017 HIV collaborators. Global, regional, and national incidence, prevalence, and mortality of HIV, 1980-2017, and forecasts to 2030, for 195 countries and territories: a systematic analysis for the global burden of diseases, injuries, and risk factors study 2017[J]. Lancet HIV, 2019, 6(12): e831-e859. [3] 赵虹琳, 李巧梅, 李婷婷, 等. 2004—2018年中国艾滋病发病与死亡趋势及其年龄-时期-队列模型分析 [J]. 中国全科医学, 2023, 26(4): 409-416. ZHAO Honglin,LI Qiaomei,LI Tingting,et al. AIDS in China from 2004 to 2018:incidence and mortality trends and age-period-cohort effect analysis[J]. Chinese General Practice, 2023, 26(4): 409-416. [4] Qiao YC, Xu Y, Jiang DX, et al. Epidemiological analyses of regional and age differences of HIV/AIDS prevalence in China, 2004-2016[J]. Int J Infect Dis, 2019, 81: 215-20. doi: 10.1016/j.ijid.2019.02.016. [5] Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the global burden of disease study 2019[J]. Lancet, 2020, 396(10258): 1204-1222. [6] Jahagirdar D, Walters MK, Novotney A, et al. Global, regional, and national sex-specific burden and control of the HIV epidemic, 1990-2019, for 204 countries and territories: the global burden of diseases study 2019[J]. Lancet HIV, 2021, 8(10): e633-e651. [7] Hu W, Fang L, Zhang H, et al. Global disease burden of COPD from 1990 to 2019 and prediction of future disease burden trend in China[J]. Public Health, 2022, 208: 89-97. doi: 10.1016/j.puhe.2022.04.015. [8] Murray CJL, Lopez AD. Measuring global health: motivation and evolution of the global burden of disease study[J]. Lancet, 2017, 390(10100): 1460-1464. [9] Ma Y, Cui Y, Hu Q, et al. Long-term changes of HIV/AIDS incidence rate in China and the U.S. population from 1994 to 2019: a join-point and age-period-cohort analysis[J]. Front Public Health, 2021, 9: 652868. doi: 10.3389/fpubh.2021.652868. [10] Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the global burden of disease study 2019[J]. Lancet, 2020, 396(10258): 1223-1249. [11] Centers for disease control and prevention. Fast facts: preventing intimate partner violence [EB/OL].(2022-10-11)[2022-11-14]. https://www.cdc.gov/violenceprevention/inti-matepartnerviolence/fastfact.html. [12] Kim HJ, Fay MP, Feuer EJ, et al. Permutation tests for joinpoint regression with applications to cancer rates[J]. Stat Med, 2000, 19(3): 335-351. [13] Riebler A, Held L. Projecting the future burden of cancer: Bayesian age-period-cohort analysis with integrated nested LaPlace approximations[J]. Biom J, 2017, 59(3): 531-549. [14] Wang X, Wang Z, Jiang X, et al. A cross-sectional study of the relationship between sexual compulsivity and unprotected anal intercourse among men who have sex with men in shanghai, China[J]. BMC Infect Dis, 2018, 18(1): 465. doi: 10.1186/s12879-018-3360-x. [15] Zhong F, Lin P, Xu H, et al. Possible increase in HIV and syphilis prevalence among men who have sex with men in Guangzhou, China: results from a respondent-driven sampling survey[J]. AIDS Behav, 2011, 15(5): 1058-1066. [16] Bor J, Rosen S, Chimbindi N, et al. Mass HIV treatment and sex disparities in life expectancy: demographic surveillance in rural South Africa[J]. PLoS Med, 2015, 12(11): e1001905. doi: 10.1371/journal.pmed.1001905. [17] Takarinda KC, Harries AD, Shiraishi RW, et al. Gender-related differences in outcomes and attrition on antiretroviral treatment among an HIV-infected patient cohort in Zimbabwe: 2007-2010[J]. Int J Infect Dis, 2015, 30: 98-105. doi: 10.1016/j.ijid.2014.11.009. [18] Trepka MJ, Fennie KP, Sheehan DM, et al. Late HIV diagnosis: differences by rural/urban residence, Florida, 2007-2011[J]. AIDS Patient Care STDS, 2014, 28(4): 188-197. [19] Zhao H, Liu H, Wang L, et al. Epidemiological characteristics of newly-reported HIV cases among youth aged 15-24 Years-China, 2010-2019[J]. China CDC Wkly, 2020, 2(48): 913-916. [20] 郭伟贵, 茅乃玲, 沈智勇. 学校艾滋病防控面临的挑战及策略[J]. 实用预防医学, 2020, 27(11): 1403-1405. GUO Weigui, MAO Nailing, CHEN Zhiyong. Challenges and strategies for HIV/AIDS prevention and control in schools[J]. Practical Preventive Medicine, 2020, 27(11):1403-1405. [21] 刘童童, 陈清峰, 李雨波, 等. 艾滋病防治宣传教育实践与挑战[J]. 中国艾滋病性病, 2021, 27(11): 1179-1181. [22] 张静, 谢今朝, 刘聪, 等. 2004—2019年广州市艾滋病抗病毒治疗老年患者特征变化趋势: 基于Joinpoint回归的回顾性队列研究[J]. 现代预防医学, 2021, 48(12): 2276-2280. ZHANG Jing, XIE Jinzhao, LIU Cong, et al. Joinpoint regression model analysis on trend characteristics among HIV-infected patients starting antiretroviral treatment in Guangzhou 2004-2019[J]. Modern Preventive Medicine, 2021, 48(12): 2276-2280. [23] Montano M, Landay A, Perkins M, et al. HIV and aging in the era of ART and COVID-19: symposium overview[J]. J Acquir Immune Defic Syndr, 2022, 89(Suppl 1): s3-s9. [24] Sun X, Lu F, Wu Z, et al. Evolution of information-driven HIV/AIDS policies in China[J]. Int J Epidemiol, 2010, 39(Suppl 2): ii4-ii13. [25] Mao Y, Wu Z, Poundstone K, et al. Development of a unified web-based national HIV/AIDS information system in China[J]. Int J Epidemiol, 2010, 39(Suppl 2): ii79-ii89. [26] 郑灵巧, 陈清峰, 沈洁. 中国艾滋病防治政策与策略发展历程回溯[J]. 中国艾滋病性病, 2019, 25(7): 657-661. [27] Wang L, Wang L, Norris JL, et al. HIV prevalence and influencing factors analysis of sentinel surveillance among men who have sex with men in China, 2003-2011[J]. Chin Med J(Engl), 2012, 125(11): 1857-1861. [28] 胡健. 青年男同性恋/双性恋者多性伴行为的社会文化因素[J]. 中国艾滋病性病, 2020, 26(2): 172-174. HU Jian. Sociocultural factors of sexual behaviors with multiple sex partners among young homosexual/bisexual men[J]. Chinese Journal of AIDS & STD, 2020, 26(2): 172-174. [29] Bao YP, Liu ZM, Li JH, et al. Club drug use and associated high-risk sexual behaviour in six provinces in China[J]. Addiction, 2015, 110(Suppl 1): 11-19. [30] 韩孟杰, 陈清峰, 徐鹏, 等. 砥砺奋进“十三五”艾滋病防控迈向新征程—我国艾滋病防治回顾与展望[J]. 中国艾滋病性病, 2021, 27(12): 1327-1331. [31] Hampanda KM, Rael CT. HIV status disclosure among postpartum women in Zambia with varied intimate partner violence experiences[J]. AIDS Behav, 2018, 22(5): 1652-1661. [32] Su X, Zheng L, Zhang H, et al. Secular trends of acute viral hepatitis incidence and mortality in China, 1990 to 2019 and its prediction to 2030: the global burden of disease study 2019[J]. Front Med(Lausanne), 2022, 9: 842088. doi: 10.3389/fmed.2022.842088. |
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