Department of Psychiatry and Psychology, Hainan General Hospital, Haikou, 570311 Hainan, China.
Department of Psychiatry, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Behav Neurol. 2021 Oct 19;2021:6333618. doi: 10.1155/2021/6333618. eCollection 2021.
To investigate the effect of the interaction between depression and sleep disorders on the stroke occurrence based on the data from the National Health and Nutritional Examination Survey (NHANES).
Seven cycles of 2-year NHANES data (2005-2018) were analyzed in this study. Univariate analysis was first performed between the stroke and nonstroke patients, and then, multivariate logistic regression models were conducted to analyze the association of depression, sleep disorders, and their interactions with stroke occurrence.
A total of 30473 eligible participants were included in this study, including 1138 (3.73%) with stroke and 29335 (96.27%) with nonstroke. Except sex, the differences were all significant between the stroke and nonstroke patients in baseline information (all < 0.001). Depression (odds ratio (OR): 2.494, 95% confidence interval (CI): 2.098-2.964), depression severity (moderate, OR: 2.013, 95% CI: 1.612-2.514; moderately severe, OR: 2.598, 95% CI: 1.930-3.496; severe, OR: 5.588, 95% CI: 3.883-8.043), and sleep disorders (OR: 1.677, 95% CI: 1.472-1.910) were presented to be associated with an increased risk of stroke after correcting all the confounders. The logistic regression analysis showed that there was a synergic, additive interaction between depression and sleep disorders on the stroke occurrence, and the proportion of stroke patients caused by this interaction accounted for 27.1% of all the stroke patients.
Depression, depression severity, and sleep disorders are all independently associated with a high risk of stroke. The interaction between depression and sleep disorders can synergistically increase the stroke occurrence.
基于国家健康与营养调查(NHANES)的数据,研究抑郁和睡眠障碍之间的相互作用对中风发生的影响。
本研究分析了 7 个为期 2 年的 NHANES 周期(2005-2018 年)的数据。首先对中风患者和非中风患者进行单变量分析,然后采用多变量逻辑回归模型分析抑郁、睡眠障碍及其相互作用与中风发生的关系。
本研究共纳入 30473 名符合条件的参与者,其中 1138 名(3.73%)患有中风,29335 名(96.27%)患有非中风。除性别外,基线信息中风患者与非中风患者之间的差异均有统计学意义(均<0.001)。抑郁(比值比(OR):2.494,95%置信区间(CI):2.098-2.964)、抑郁严重程度(中度,OR:2.013,95%CI:1.612-2.514;中度严重,OR:2.598,95%CI:1.930-3.496;严重,OR:5.588,95%CI:3.883-8.043)和睡眠障碍(OR:1.677,95%CI:1.472-1.910)在纠正所有混杂因素后均与中风风险增加相关。逻辑回归分析表明,抑郁和睡眠障碍之间存在协同、相加性的相互作用,这种相互作用导致的中风患者比例占所有中风患者的 27.1%。
抑郁、抑郁严重程度和睡眠障碍均与中风风险增加独立相关。抑郁和睡眠障碍之间的相互作用可以协同增加中风的发生。