Jia Yong, Liu Linlin, Sheng Chuqiao, Cheng Zhaohua, Cui Lianzhi, Li Min, Zhao Yawei, Shi Tongfei, Yau Tung On, Li Feng, Chen Li
School of Nursing, and.
School of Public Health, Jilin University.
J Nerv Ment Dis. 2019 Apr;207(4):271-276. doi: 10.1097/NMD.0000000000000957.
This cross-sectional study aimed at measuring the correlation and association between serum levels of cortisol, inflammatory cytokines, and depression and to measure the detection accuracy of serum levels of cortisol in serum samples. In total, 89 male participants were recruited into this study from June 15, 2017, to September 31, 2017. The Hamilton Depression Rating Scale, Beck Anxiety Inventory, and Pittsburgh Sleep Quality Index were used to investigate the mental health status of the participants. Serum concentrations of cortisol and inflammatory cytokines were determined. The serum cortisol concentration, anxiety level, and sleep quality were included in the final logistic regression model. Serum cortisol was able to accurately distinguish between patients with depression and those without depression. There was a significant positive correlation between serum cortisol levels and Hamilton Depression Rating Scale scores.
这项横断面研究旨在测量血清皮质醇水平、炎性细胞因子与抑郁症之间的相关性和关联性，并测量血清样本中皮质醇水平的检测准确性。2017年6月15日至2017年9月31日，共有89名男性参与者被纳入本研究。采用汉密尔顿抑郁评定量表、贝克焦虑量表和匹兹堡睡眠质量指数来调查参与者的心理健康状况。测定血清皮质醇和炎性细胞因子的浓度。血清皮质醇浓度、焦虑水平和睡眠质量被纳入最终的逻辑回归模型。血清皮质醇能够准确区分抑郁症患者和非抑郁症患者。血清皮质醇水平与汉密尔顿抑郁评定量表评分之间存在显著正相关。
