Laboratory of Cognitive Control and Brain Healthy, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China.
Department of Psychiatry, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Psychol Med. 2023 Jun;53(8):3611-3620. doi: 10.1017/S0033291722000241. Epub 2022 Feb 14.
Subthreshold depression could be a significant precursor to and a risk factor for major depression. However, reliable estimates of the prevalence and its contribution to developing major depression under different terminologies depicting subthreshold depression have to be established.
By searching PubMed and Web of Science using predefined inclusion criteria, we included 1 129 969 individuals from 113 studies conducted. The prevalence estimates were calculated using the random effect model. The incidence risk ratio (IRR) was estimated by measuring the ratio of individuals with subthreshold depression who developed major depression compared to that of non-depressed individuals from 19 studies (88, 882 individuals).
No significant difference in the prevalence among the different terminologies depicting subthreshold depression ( = 1.96, = 0.5801) was found. By pooling the prevalence estimates of subthreshold depression in 113 studies, we obtained a summary prevalence of 11.02% [95% confidence interval (CI) 9.78-12.33%]. The youth group had the highest prevalence (14.17%, 95% CI 8.82-20.55%), followed by the elderly group (12.95%, 95% CI 11.41-14.58%) and the adult group (8.92%, 95% CI 7.51-10.45%). Further analysis of 19 studies' incidence rates showed individuals with subthreshold depression had an increased risk of developing major depression (IRR = 2.95, 95% CI 2.33-3.73), and the term minor depression showed the highest IRR compared with other terms (IRR = 3.97, 95% CI 3.17-4.96).
Depression could be a spectrum disorder, with subthreshold depression being a significant precursor to and a risk factor for major depression. Proactive management of subthreshold depression could be effective for managing the increasing prevalence of major depression.
阈下抑郁可能是重性抑郁的重要前兆和危险因素。然而,必须确定不同阈下抑郁术语描述下的患病率及其对发展为重性抑郁的贡献的可靠估计。
通过使用预定义的纳入标准在 PubMed 和 Web of Science 上进行搜索,我们纳入了来自 113 项研究的 1129969 名个体。使用随机效应模型计算患病率估计值。通过测量患有阈下抑郁的个体与非抑郁个体相比发展为重性抑郁的比例,从 19 项研究(88882 名个体)中估计发病率风险比(IRR)。
我们未发现不同阈下抑郁术语描述之间的患病率存在显著差异( = 1.96, = 0.5801)。通过汇总 113 项研究中阈下抑郁的患病率估计值,我们得到了一个综合患病率为 11.02%[95%置信区间(CI)9.78-12.33%]。青年组的患病率最高(14.17%,95%CI 8.82-20.55%),其次是老年组(12.95%,95%CI 11.41-14.58%)和成年组(8.92%,95%CI 7.51-10.45%)。对 19 项研究的发病率进一步分析表明,患有阈下抑郁的个体发生重性抑郁的风险增加(IRR = 2.95,95%CI 2.33-3.73),且与其他术语相比,轻度抑郁术语的 IRR 最高(IRR = 3.97,95%CI 3.17-4.96)。
抑郁可能是一种谱系障碍,阈下抑郁是重性抑郁的重要前兆和危险因素。积极管理阈下抑郁可能有助于控制重性抑郁患病率的增加。