Zhou Yao, Zhao Lijuan, Tang Yunzhu, Qian Shuxia
Jiaxing University Master Degree Cultivation Base, Zhejiang Chinese Medical University, Zhejiang, China.
Department of Neurology, The Second Affiliated Hospital of Jiaxing University, Zhejiang, China.
BMC Psychiatry. 2025 May 7;25(1):464. doi: 10.1186/s12888-025-06907-z.
Red blood cell distribution width (RDW)-to-albumin ratio (RAR) is a novel index. Its relationship with depression, a common and complex psychiatric disorder, remains unclear. This study utilized the National Health and Nutrition Examination Survey (NHANES) database to investigate this relationship.
Multivariate logistic regression, restricted cubic spline (RCS) regression, receiver operating characteristic (ROC) analysis, and sensitivity analyses were used to examine the relationship between RAR and depression based on NHANES data from 2011-2018. The study also used subgroup analyses and interaction tests to explore whether the relationship was stable across populations.
RAR was positively associated with depression in 18,150 participants aged ≥ 20 years. In fully adjusted models, each one-unit increase in RAR was associated with a 22% increase in the likelihood of depression [1.22 (1.05, 1.41)]. Participants in the highest quartile of RAR had a 30% higher risk of depression than those in the lowest quartile of RAR [1.30 (1.04, 1.63)]. Subgroup analyses revealed that the association between RAR and depression was significantly stronger among men, alcohol-drinking and high-income groups.
Higher baseline RAR was associated with an increased risk of depression in US adults and was more informative than RDW, albumin, and hemoglobin-to-RDW ratio (HRR). Further large-scale prospective studies are needed to analyze the role of RAR in depression. These findings emphasize that RAR can be a simple, reliable and cost-effective predictor of depression in clinical practice.
红细胞分布宽度(RDW)与白蛋白比值(RAR)是一项新指标。它与抑郁症(一种常见且复杂的精神疾病)之间的关系仍不清楚。本研究利用美国国家健康与营养检查调查(NHANES)数据库来探究这种关系。
基于2011 - 2018年的NHANES数据,采用多因素逻辑回归、限制性立方样条(RCS)回归、受试者工作特征(ROC)分析和敏感性分析来检验RAR与抑郁症之间的关系。该研究还采用亚组分析和交互作用检验来探讨这种关系在不同人群中是否稳定。
在18150名年龄≥20岁的参与者中,RAR与抑郁症呈正相关。在完全调整模型中,RAR每增加一个单位,抑郁症发生风险增加22%[1.22(1.05,1.41)]。RAR处于最高四分位数的参与者患抑郁症的风险比RAR处于最低四分位数的参与者高30%[1.30(1.04,1.63)]。亚组分析显示,RAR与抑郁症之间的关联在男性、饮酒者和高收入群体中显著更强。
较高的基线RAR与美国成年人患抑郁症的风险增加相关,并且比RDW、白蛋白和血红蛋白与RDW比值(HRR)更具信息量。需要进一步开展大规模前瞻性研究来分析RAR在抑郁症中的作用。这些发现强调,在临床实践中,RAR可以成为一种简单、可靠且经济高效的抑郁症预测指标。