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全球、区域和国家老年人抑郁障碍患病率的时间趋势,1990-2019 年:基于 2019 年全球疾病负担研究的年龄-时期-队列分析。

Global, regional, and national temporal trends in prevalence for depressive disorders in older adults, 1990-2019: An age-period-cohort analysis based on the global burden of disease study 2019.

机构信息

Department of Scientific Research, The Second Affiliated Hospital of Anhui Medical University, Hefei, PR China.

Department of Materials and Equipment, The First Affiliated Hospital of Anhui Medical University, Hefei, PR China.

出版信息

Ageing Res Rev. 2024 Sep;100:102443. doi: 10.1016/j.arr.2024.102443. Epub 2024 Aug 7.

DOI:10.1016/j.arr.2024.102443
PMID:39097004
Abstract

As a severe public health issue, depressive disorders (DD) has caused an increasingly burden of disease, especially in the older adults. To provide an overview and in-depth analysis of temporal trends in prevalence of DD in older adults at global, regional, and national levels over the last 30 years. Here, an age-period-cohort model was adopted to analyze age, period, and cohort effects. We showed that the global prevalence of DD in older adults was increasing. The net drift of the global prevalence of DD was showing an increasing trend in 78 countries, while local drift showing a declining trend in all age groups in high sociodemographic index (SDI) region. Additionally, period and cohort effects exhibited different patterns across regions. Over time, the declining trend was most significant in high SDI regions, while this trend was most significant in middle SDI region. Interestingly, those aged 60-64 years to 70-74 years was increasing globally, while age group aged 75-79 years to 95-99 years was on declining. In high, high-middle, and low SDI regions, individuals born early face higher risks than those born late, while the opposite results were observed in low-middle SDI region. Overall, our findings offer a insight global perspective for studying the temporal trends of DD prevalence, supplementing our evidence and understanding of DD epidemiology, and identifying gaps in DD prevention, management, and intervention plans in different aspects.

摘要

作为一种严重的公共卫生问题,抑郁障碍(DD)导致疾病负担日益加重,尤其是在老年人中。本研究旨在全面深入分析过去 30 年来全球、地区和国家层面老年人 DD 患病率的时间趋势。采用年龄-时期-队列模型分析年龄、时期和队列效应。结果表明,全球老年人 DD 患病率呈上升趋势。78 个国家的 DD 全球患病率净漂移呈上升趋势,而高社会人口指数(SDI)地区所有年龄组的局部漂移呈下降趋势。此外,各地区的时期和队列效应表现出不同的模式。随着时间的推移,高 SDI 地区的下降趋势最为显著,而中 SDI 地区的下降趋势最为显著。有趣的是,全球范围内 60-64 岁至 70-74 岁年龄组的人数呈上升趋势,而 75-79 岁至 95-99 岁年龄组的人数呈下降趋势。在高、高中低和低 SDI 地区,早期出生的个体比晚期出生的个体面临更高的风险,而中低 SDI 地区则相反。总的来说,我们的研究结果为研究 DD 患病率的时间趋势提供了全球视角,补充了我们对 DD 流行病学的证据和理解,并确定了不同方面 DD 预防、管理和干预计划的差距。

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