Projections of anxiety disorder prevalence during and beyond the COVID-19 pandemic in Germany using the illness-death model.

IF 3.9 3区 医学 Q1 PSYCHIATRY
BJPsych Open Pub Date : 2024-10-10 DOI:10.1192/bjo.2024.754
Chisato Ito, Bernhard T Baune, Tobias Kurth, Ralph Brinks
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引用次数: 0

Abstract

Background: Although there is now substantial evidence on the acute impacts of the COVID-19 pandemic on anxiety disorders, the long-term population impact of the pandemic remains largely unexplored.

Aims: To quantify a possible longitudinal population-level impact of the pandemic by projecting the prevalence of anxiety disorders through 2030 among men and women aged up to 95 years in Germany under scenarios with varying impacts of the pandemic on the incidence of anxiety disorders.

Method: We used a three-state illness-death model and data from the Global Burden of Disease Study to model historical trends of the prevalence and incidence of anxiety disorders. The German population projections determined the initial values for projections. The COVID-19 incidence rate data informed an additional incidence model, which was parameterised with a wash-in period, delay, wash-out period, incidence increase level and decay constant.

Results: When no additional increase in the incidence during the pandemic waves during 2020-2022 was assumed, it was estimated that 3.86 million women (9.96%) and 2.13 million men (5.40%) would have anxiety disorders in 2030. When increases in incidence following pandemic waves were assumed, the most extreme scenario projected 5.67 million (14.02%) women and 3.30 million (8.14%) men with the mental disorder in 2030.

Conclusions: Any increased incidence during the pandemic resulted in elevated prevalence over the projection period. Projection of anxiety disorder prevalence based on the illness-death model enables simulations with varying assumptions and provides insight for public health planning. These findings should be refined as trend data accumulate and become available.

利用疾病-死亡模型预测德国 COVID-19 大流行期间及之后的焦虑症发病率。
背景:目的:在大流行病对焦虑症发病率产生不同影响的情况下,预测 2030 年德国 95 岁以下男性和女性的焦虑症患病率,从而量化大流行病可能对人群产生的纵向影响:我们利用三态疾病-死亡模型和全球疾病负担研究(Global Burden of Disease Study)的数据来模拟焦虑症患病率和发病率的历史趋势。德国人口预测确定了预测的初始值。COVID-19 的发病率数据为额外的发病率模型提供了信息,该模型的参数包括冲入期、延迟期、冲出期、发病率增长水平和衰减常数:结果:如果假定 2020-2022 年期间大流行期间的发病率没有额外增加,估计 2030 年将有 386 万女性(9.96%)和 213 万男性(5.40%)患有焦虑症。如果假定大流行后发病率增加,最极端的情况预计到 2030 年将有 567 万女性(14.02%)和 330 万男性(8.14%)患有精神障碍:结论:大流行期间任何发病率的增加都会导致预测期内患病率的上升。根据疾病-死亡模型对焦虑症患病率进行预测,可以模拟不同的假设,为公共卫生规划提供启示。随着趋势数据的积累和可用性的提高,这些研究结果应不断完善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BJPsych Open
BJPsych Open Medicine-Psychiatry and Mental Health
CiteScore
6.30
自引率
3.70%
发文量
610
审稿时长
16 weeks
期刊介绍: Announcing the launch of BJPsych Open, an exciting new open access online journal for the publication of all methodologically sound research in all fields of psychiatry and disciplines related to mental health. BJPsych Open will maintain the highest scientific, peer review, and ethical standards of the BJPsych, ensure rapid publication for authors whilst sharing research with no cost to the reader in the spirit of maximising dissemination and public engagement. Cascade submission from BJPsych to BJPsych Open is a new option for authors whose first priority is rapid online publication with the prestigious BJPsych brand. Authors will also retain copyright to their works under a creative commons license.
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