Jung Eujene, Ryu Hyun Ho, Ryu Seok Jin
Department of Emergency Medicine, Chonnam National University Hospital, Gwangju, Republic of Korea.
Department of Emergency Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea.
Psychiatry Investig. 2024 Dec;21(12):1391-1397. doi: 10.30773/pi.2024.0088. Epub 2024 Dec 23.
Previous studies have provided inconclusive results on the association between depression and stroke risk, and the potential modifying effect of comorbid insomnia on this association remains unclear. Our study aimed to clarify the independent roles of depression and insomnia as risk factors for stroke and to investigate the possibility of an interaction effect between these two conditions on stroke incidence.
We used data from the Korean Genome and Epidemiology Study. The primary exposure was depression, measured by the Beck Depression Inventory. The secondary exposure was insomnia. The main outcome was the occurrence of stroke observed in biennial follow-up surveys. Cox proportional regression analysis was performed to estimate the effects of depression and insomnia on stroke incidence. We also conducted interaction analysis to investigate the interaction between depression and insomnia on stroke incidence.
During 16 years of follow-up involving 3,301 individuals, we documented 172 cases of new-onset stroke (4.3 cases per 1,000 person-years). Cox proportional logistic regression analysis showed that severe depression significantly increased the risk of stroke (hazard ratio [HR]: 2.06, 95% confidence interval [CI]: 1.13-3.75), whereas mild and moderate depression did not increase this risk. Interaction analysis demonstrated that stroke risk was increased with only moderate (HR: 2.04, 95% CI: 1.04-4.00) and severe (HR: 3.01, 95% CI: 1.43-6.31) depression among individuals without insomnia.
Although general depression does not significantly increase stroke risk, moderate-to-severe depression may increase this risk, particularly in individuals without insomnia.
既往研究关于抑郁症与中风风险之间的关联结果尚无定论,且共病失眠对这种关联的潜在调节作用仍不明确。我们的研究旨在阐明抑郁症和失眠作为中风危险因素的独立作用,并探讨这两种情况对中风发病率的交互作用可能性。
我们使用了韩国基因组与流行病学研究的数据。主要暴露因素为抑郁症,通过贝克抑郁量表进行测量。次要暴露因素为失眠。主要结局是在两年一次的随访调查中观察到的中风发生情况。进行Cox比例回归分析以估计抑郁症和失眠对中风发病率的影响。我们还进行了交互分析,以研究抑郁症和失眠对中风发病率的交互作用。
在对3301名个体进行的16年随访期间,我们记录了172例新发中风病例(每1000人年4.3例)。Cox比例逻辑回归分析表明,重度抑郁症显著增加中风风险(风险比[HR]:2.06,95%置信区间[CI]:1.13 - 3.75),而轻度和中度抑郁症并未增加此风险。交互分析表明,在没有失眠的个体中,只有中度(HR:2.04,95% CI:1.04 - 4.00)和重度(HR:3.01,95% CI:1.43 - 6.31)抑郁症会增加中风风险。
虽然一般的抑郁症不会显著增加中风风险,但中度至重度抑郁症可能会增加这种风险,尤其是在没有失眠的个体中。