首页|基于年龄-时期-队列模型的中国物质使用障碍疾病负担及预测研究

基于年龄-时期-队列模型的中国物质使用障碍疾病负担及预测研究

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目的 分析1990-2019年中国物质使用障碍(SUD)的发病和疾病负担情况,评估不同年龄、时期和出生队列对SUD疾病负担的影响,并预测2020-2034年SUD的疾病负担情况,为SUD的预防提供参考。方法 利用2019全球疾病负担研究数据库,通过发病率、过早死亡损失寿命年(YLLs)、伤残损失寿命年(YLDs)和伤残调整寿命年(DALYs)等指标描述疾病负担,采用Joinpoint回归模型分析SUD标化发病率、标化DALYs率的变化趋势,基于年龄-时期-队列模型探讨SUD发病率及疾病负担的年龄、时期和队列效应。采用灰色预测模型GM(1,1)对SUD的发病率及疾病负担趋势进行拟合,同时预测2020-2034年SUD的发病率及疾病负担。结果 1990-2019年中国苯丙胺类药物[平均年度变化百分比(AAPC)=-0。9%]、可卡因(AAPC=-0。5%)SUD标化发病率呈下降的趋势(P<0。001),大麻(AAPC=0。9%)SUD标化发病率呈逐年上升的趋势(P<0。001),阿片类药物SUD标化发病率变化趋势不明显(P>0。05)。这4种SUD造成的DALYs率均呈现逐年降低的趋势(AAPC苯丙胺类药物=-2。2%、AAPC可卡因=-1。5%、AAPC大麻=-1。0%、AAPC阿片类药物=-1。0%,P<0。001)。年龄-时期-队列效应结果显示,苯丙胺类药物、可卡因、大麻、阿片类药物SUD的发病峰值均在25~30岁组。大麻SUD造成的DALYs率随着年龄的增长而逐渐增加,而苯丙胺类药物、可卡因类、阿片类药物SUD的DALYs率分别在25~29岁、30~34岁、35~39岁组达到峰值。时期结果显示,苯丙胺类药物、可卡因、大麻SUD的发病风险呈现先降低后上升的趋势,阿片类药物SUD发病风险呈先升高后降低然后又升高的趋势。出生队列效应结果显示,苯丙胺类药物、可卡因、阿片类药物SUD的发病风险除个别出生队列出现小幅度波动外,整体上呈现逐渐降低的趋势;苯丙胺类药物、可卡因、阿片类药物SUD造成的DALYs率风险整体上呈现逐渐降低的趋势,而大麻SUD造成的DALYs率风险呈现逐年升高的趋势。预测结果显示2020-2034年苯丙胺类药物、可卡因、阿片类药物SUD的发病率呈下降趋势,大麻SUD的发病率呈波动上升的趋势。归因于苯丙胺类药物、可卡因、大麻及阿片类药物SUD的DALYs呈逐年下降的趋势。结论 中国SUD疾病负担未来呈逐年下降的趋势,其发病率和疾病负担均不同程度地受年龄效应、时期效应及队列效应的影响,早期预防和有效干预是控制SUD的关键措施。
Study on the disease burden and prediction of substance use disorder in China based on age-period-cohort model
Objective To analyze the incidence and disease burden of substance use disorder(SUD)in China from 1990 to 2019,to evaluate the impact of different ages,periods and birth cohorts on the disease burden of SUD,and to predict disease burden of SUD from 2020 to 2034,so as to provide strategies for the prevention of SUD.Methods Based on the Global Burden of Disease Study 2019(GBD 2019)database,the disease burden was described by incidence,years of life lost(YLLs),years lived with disability(YLDs)and disability-adjusted life years(DALYs).The Joinpoint regression model was used to analyze the trend of standardized incidence and standardized DALYs rate of SUD.Based on the age-period-cohort model,the age,period and cohort effects of SUD were discussed.The grey prediction model GM(1,1)was used to fit the trend of the incidence and standardized incidence of SUD and the trend of disease burden,and to predict the incidence and disease burden of SUD in 2020-2034.Results From 1990 to 2019,the standardized incidence of SUD of amphetamines[average annual percentage change(AAPC)=-0.9%]and cocaine(AAPC=-0.5%)in China showed a downward trend(P<0.001),and the standardized incidence of SUD of cannabis(AAPC=0.9%)showed an increasing trend year by year(P<0.001).The trend of standardized incidence of opioid abuse disorders was not obvious(P>0.05).The DALYs rate caused by the 4 SUD showed a decreasing trend year by year(AAPCamphetamines=-2.2%,AAPCcocaine=-1.5%,AAPCcannabis=-1.0%,AAPCopioids=-1.0%,P<0.001).The results of age-period-cohort effect showed that the peak incidence of amphetamine,cocaine,cannabis and opioid use disorders was in the 25-30 age group.The DALYs rate caused by cannabis SUD increased with age,while the DALYs rates of amphetamines,cocaine and opioids SUD reached the peak in the 25-29,30-34 and 35-39 age groups,respectively.The results of period effect showed that the risk of SUD in propylamines,cocaine and cannabis decreased first and then increased,while the risk of SUD in opioids increased and then decreased and increased again.The results of birth cohort effect showed that the risk of SUD of amphetamines,cocaine and opioids showed a decreasing trend as a whole except for a small fluctuation in individual birth cohorts.The risk of DALYs rate caused by SUD of amphetamines,cocaine and opioids showed a decreasing trend as a whole,while the risk of DALYs rate caused by SUD of cannabis showed an increasing trend year by year.The prediction results showed that the incidence of SUD of amphetamines,cocaine and opioids showed a downward trend from 2020 to 2034,and the incidence of SUD of cannabis showed a fluctuating upward trend.The DALYs attributed to SUD of amphetamines,cocaine,cannabis and opioids showed a decreasing trend year by year.Conclusion The disease burden of SUD in China is decreasing year by year in the future.The incidence and disease burden are affected by age effect,period effect and cohort effect to varying degrees.Early prevention and effective intervention are the key measures to control SUD.

Drug abuseSubstance use disorderDisease burdenTrend analysisAge-period-cohort model

毕慧、马丹华、许桂丽、华云鹏、邢亮

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中国人民解放军东部战区空军医院药剂科(南京 210002)

药物滥用 物质使用障碍 疾病负担 趋势分析 年龄-时期-队列模型

2024

药物流行病学杂志
中国药学会 武汉医药(集团)股份有限公司

药物流行病学杂志

CSTPCD
影响因子:0.746
ISSN:1005-0698
年,卷(期):2024.33(7)