Monash University, Melbourne, Australia.
Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Sci Rep. 2018 Feb 12;8(1):2861. doi: 10.1038/s41598-018-21243-x.
The prevalence of depression may be affected by changes in psychiatric practices and the availability of online mental health information in the past two decades. This study aimed to evaluate the aggregate prevalence of depression in communities from different countries between 1994 and 2014 and to explore the variations in prevalence stratified by geographical, methodological and socio-economic factors. A total of 90 studies were identified and met the inclusion criteria (n = 1,112,573 adults) with 68 studies on single point prevalence, 9 studies on one-year prevalence, and 13 studies on lifetime prevalence of depression. A random-effects model meta-analysis that was performed to calculate the aggregate point, one-year and lifetime prevalence of depression calculated prevalences of 12.9%, 7.2% and 10.8% respectively. Point prevalence of depression was significantly higher in women (14.4%), countries with a medium human development index (HDI) (29.2%), studies published from 2004 to 2014 (15.4%) and when using self-reporting instruments (17.3%) to assess depression. Heterogeneity was identified by meta-regression and subgroup analysis, and response rate, percentage of women and year of publication, respectively, were determined contribute to depression prevalence. This meta-analysis allows benchmarking of the prevalence of depression during the era when online health information emerged, facilitating future comparisons.
在过去的二十年中,精神科实践的变化和在线心理健康信息的可用性可能会影响抑郁症的流行率。本研究旨在评估 1994 年至 2014 年间来自不同国家社区的抑郁症总体流行率,并探讨按地理位置、方法学和社会经济因素分层的患病率变化。共确定了 90 项符合纳入标准的研究(n=1,112,573 名成年人),其中 68 项研究为单点患病率,9 项研究为一年患病率,13 项研究为终生患病率。采用随机效应模型荟萃分析计算抑郁症的总体点、一年和终生患病率,分别计算出的患病率为 12.9%、7.2%和 10.8%。女性(14.4%)、人类发展指数(HDI)中等的国家(29.2%)、2004 年至 2014 年发表的研究(15.4%)和使用自我报告工具评估抑郁症(17.3%)的抑郁症点患病率明显更高。通过荟萃回归和亚组分析确定了异质性,分别是应答率、女性百分比和出版年份,这些因素被确定对抑郁症患病率有影响。本荟萃分析允许对在线健康信息出现时代的抑郁症流行率进行基准测试,便于未来进行比较。