Tan Yinliang, Zhou Meihong, Wang Jiuju, Song Yanping, Li Qiang, Huang Zetao, Li Ying, Wang Yuxin, Zhang Jingbo, Quan Wenxiang, Tian Ju, Yin Lina, Dong Wentian, Liu Baohua
Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing 100191, China.
Peking University Sixth Hospital, Beijing 100191, China; Peking University Institute of Mental Health, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing 100191, China.
J Affect Disord. 2025 Mar 15;373:306-313. doi: 10.1016/j.jad.2025.01.003. Epub 2025 Jan 4.
The relationship between heart rate variability (HRV) and major depressive disorder (MDD) has been well explored. However, current researches lack an observation of HRV in subthreshold depression (SubD), which increases the risk of MDD and presents significant societal challenges.
This study compared resting state HRV among 128 MDD patients, 131 SubD individuals and 222 healthy controls (HC) recruited from the hospital, physical examination center, and colleges. Depression, anxiety and sleep quality were assessed by the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7) and Pittsburgh Sleep Quality Index (PSQI) scale. Statistical analyses including Kruskal-Wallis test, spearman correlation and binary logistic regression were conducted to investigate relationships between HRV and emotional issues.
The results revealed increasing trends in HRV across three groups, and the top three indices correlated with self-reported symptoms were standard deviation of the Poincaré plot perpendicular along the line of identity (SD2), standard deviation of all RR intervals (SDNN) and low frequency (LF). After adjusting for demographics, lower HRV was significantly associated with increased MDD risk compared to HC or SubD. Additionally, LF, SDNN and SD2 exhibited significant associations between SubD and HC.
This study is the first attempt to explore the HRV in SubD and compares it with MDD/HC. Our findings indicate that HRV changes are evident in minor depression, with indices in SubD lower than HC yet higher than MDD. SDNN, LF, and SD2 emerge as potential biomarkers for identifying depression early.
心率变异性(HRV)与重度抑郁症(MDD)之间的关系已得到充分研究。然而,目前的研究缺乏对阈下抑郁症(SubD)患者HRV的观察,阈下抑郁症会增加患MDD的风险,并带来重大的社会挑战。
本研究比较了从医院、体检中心和高校招募的128例MDD患者、131例SubD患者和222名健康对照者(HC)静息状态下的HRV。采用患者健康问卷-9(PHQ-9)、广泛性焦虑障碍-7(GAD-7)和匹兹堡睡眠质量指数(PSQI)量表评估抑郁、焦虑和睡眠质量。进行了包括Kruskal-Wallis检验、Spearman相关性分析和二元逻辑回归在内的统计分析,以研究HRV与情绪问题之间的关系。
结果显示三组患者的HRV均呈上升趋势,与自我报告症状相关性最高的前三项指标分别是庞加莱图沿同一线垂直方向的标准差(SD2)、所有RR间期的标准差(SDNN)和低频(LF)。在调整人口统计学因素后,与HC或SubD相比,较低的HRV与MDD风险增加显著相关。此外,LF、SDNN和SD2在SubD与HC之间存在显著关联。
本研究首次尝试探索SubD患者的HRV,并将其与MDD/HC进行比较。我们的研究结果表明,轻度抑郁症患者的HRV变化明显,SubD患者的相关指标低于HC但高于MDD。SDNN、LF和SD2有望成为早期识别抑郁症的潜在生物标志物。