Jia Bochao, Wei Rui, Li Zhiqi, Feng Meiyu, Wang Mengxue, Zhao Chongjun, Wei Yi, Liu Zhenquan, Hu Yuanhui
Beijing University of Chinese Medicine, Beijing, 100029, China.
Department of Cardiovascular, Guang'Anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
BMC Geriatr. 2025 Jul 2;25(1):434. doi: 10.1186/s12877-025-06075-5.
As the global population ages, the burden of drug use disorders (DUDs) among the elderly is rising. It is imperative to conduct a quantitative analysis of the disease burden affecting this vulnerable population.
Utilize the Global Burden of Disease Study 2021 database to obtain incidence rates and disability-adjusted life years (DALYs) for opioids, cocaine, amphetamines, and cannabis among the elderly (aged 60-89) across 204 countries and 5 SDI regions from 1990 to 2021. Employ Joinpoint regression analysis to calculate the average annual percentage change (AAPC) of age-standardized incidence rates (ASIR) and age-standardized DALYs rates (ASDR). Use the Das Gupta method to decompose and analyze the impacts of changes in age structure, population growth, and epidemiology on DALYs during this period. Finally, apply the Nordpred model to predict DALYs for global and high-burden regions from 2022 to 2035.
Of the four DUDs, opioids have the highest disease burden. Joinpoint analysis indicates that from 1990 to 2021, the ASIR and ASDR remained stable. Cocaine use disorder ASIR remained stable, but ASDR increased with an AAPC of 0.94 (95% CI 0.77-1.11). The burden of amphetamine and cannabis use disorders generally stabilized. Geographic heterogeneity was evident at regional and national levels, with ASDR for all four DUDs increasing in high-SDI areas while remaining stable or declining in other SDI areas. High-income North America, represented by the United States, shows a higher burden of disease. Decomposition analysis shows that population growth is the main factor affecting the change in the burden of DUDs in most regions, and high-income North America is mainly affected by epidemiological changes. According to the Predictive models, the DALYs of DUDs in the global elderly population is still on the rise, especially in the man group in North America.
The burden of DUDs among the elderly varies across countries, regions, SDI levels, and genders, underscoring the need for targeted public health policy adjustments and strategic allocation of medical resources to mitigate this burden.
随着全球人口老龄化,老年人药物使用障碍(DUDs)的负担正在上升。对影响这一弱势群体的疾病负担进行定量分析势在必行。
利用《2021年全球疾病负担研究》数据库,获取1990年至2021年期间204个国家和5个社会人口指数(SDI)区域中60至89岁老年人使用阿片类药物、可卡因、苯丙胺和大麻的发病率及伤残调整生命年(DALYs)。采用Joinpoint回归分析计算年龄标准化发病率(ASIR)和年龄标准化DALYs率(ASDR)的年均百分比变化(AAPC)。使用Das Gupta方法分解并分析年龄结构、人口增长和流行病学变化在此期间对DALYs的影响。最后,应用Nordpred模型预测2022年至2035年全球及高负担地区的DALYs。
在四种DUDs中,阿片类药物的疾病负担最高。Joinpoint分析表明,1990年至2021年,ASIR和ASDR保持稳定。可卡因使用障碍的ASIR保持稳定,但ASDR上升,AAPC为0.94(95%CI 0.77 - 1.11)。苯丙胺和大麻使用障碍的负担总体稳定。区域和国家层面存在明显的地理异质性,所有四种DUDs的ASDR在高SDI地区上升,而在其他SDI地区保持稳定或下降。以美国为代表的高收入北美地区疾病负担较高。分解分析表明,人口增长是影响大多数地区DUDs负担变化的主要因素,高收入北美地区主要受流行病学变化影响。根据预测模型,全球老年人口中DUDs的DALYs仍在上升,尤其是北美地区的男性群体。
老年人DUDs的负担因国家、地区、SDI水平和性别而异,这凸显了需要针对性地调整公共卫生政策并战略分配医疗资源以减轻这一负担。