Department of Psychiatry, Sleep Medicine Centre, First Affiliated Hospital of Jinan University, Guangzhou, 510632, Guangdong Province, P.R. China.
Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, Guangdong, P.R. China.
BMC Psychiatry. 2023 Jun 20;23(1):448. doi: 10.1186/s12888-023-04935-1.
The association between serum albumin and depressive symptoms has been unclear in previous epidemiological studies. We explored whether serum albumin is associated with depressive symptoms based on the National Health and Nutrition Examination Survey (NHANES) data.
This cross-sectional study included 13,681 participants aged ≥ 20 years from the NHANES performed during 2005-2018, which produced nationally representative database. Depressive symptoms were assessed using the Patient Health Questionnaire-9. Serum albumin concentration was measured using the bromocresol purple dye method, and participants were divided into quartiles of serum albumin concentrations. Weighted data were calculated according to analytical guidelines. Logistics regression and linear regression models were used to assess and quantify the association between serum albumin and depressive symptoms. Univariate and stratified analyses were also performed.
There were 1551 (10.23%) adults (aged ≥ 20 years) with depressive symptoms among the 13,681. A negative association was found between serum albumin concentration and depressive symptoms. Compared with the lowest albumin quartile, the multivariate-adjusted effect size (95% confidence interval) for depressive symptoms of the fully adjusted model in the highest albumin quartile was 0.77 (0.60 to 0.99) and - 0.38 (- 0.66 to - 0.09) using logistics regression and linear regression models respectively. Current smoking status modified the association between serum albumin concentration and PHQ-9 scores (p for interaction = 0.033).
This cross-sectional study revealed that albumin concentration is significantly more likely to be a protective factor for depressive symptoms, with the association being more pronounced in non-smokers.
在先前的流行病学研究中,血清白蛋白与抑郁症状之间的关联尚不清楚。我们基于国家健康和营养检查调查(NHANES)数据,探讨了血清白蛋白是否与抑郁症状相关。
这项横断面研究纳入了 2005 年至 2018 年期间进行的 NHANES 中年龄≥20 岁的 13681 名参与者,该研究产生了具有全国代表性的数据库。使用患者健康问卷-9 评估抑郁症状。使用溴甲酚紫染料法测量血清白蛋白浓度,并将参与者分为血清白蛋白浓度四分位组。根据分析指南计算加权数据。使用逻辑回归和线性回归模型评估和量化血清白蛋白与抑郁症状之间的关联。还进行了单变量和分层分析。
在 13681 名参与者中,有 1551 名(10.23%)成年人(年龄≥20 岁)患有抑郁症状。发现血清白蛋白浓度与抑郁症状之间呈负相关。与最低白蛋白四分位组相比,在最高白蛋白四分位组中,完全调整模型的多元调整效应大小(95%置信区间)为抑郁症状的 0.77(0.60 至 0.99)和-0.38(-0.66 至 -0.09),分别使用逻辑回归和线性回归模型。当前吸烟状态修饰了血清白蛋白浓度与 PHQ-9 评分之间的关联(交互作用 p 值=0.033)。
这项横断面研究表明,白蛋白浓度更有可能是抑郁症状的保护因素,且这种关联在非吸烟者中更为明显。