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睡眠困难个体的全身炎症指标与抑郁风险:一项基于2005 - 2020年美国国家健康与营养检查调查(NHANES)的队列研究。

Systemic inflammatory indices and the risk of depression in individuals with sleep difficulties: A cohort study based on NHANES 2005-2020.

作者信息

Zhu Ruolin, Wang Lu, Wu Xingqi, Wang Kai

机构信息

Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.

School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China.

出版信息

Compr Psychoneuroendocrinol. 2025 May 12;23:100299. doi: 10.1016/j.cpnec.2025.100299. eCollection 2025 Aug.

Abstract

Sleep difficulties are common and often precede depressive disorders. We aimed to explore the associations between systemic inflammatory markers and depression risk in individuals with difficulty sleeping. We utilized data from the National Health and Nutrition Examination Survey (NHANES, 2005-2020), encompassing 7916 participants who reported having difficulty sleeping. The systemic inflammation response index (SIRI) and neutrophil‒platelet ratio (NPR) were calculated using peripheral blood cell counts. Odds ratios (ORs) and 95 % confidence intervals (CIs) of the SIRI/NPR for depression risk were calculated via logistic regression models. Restricted cubic spline (RCS) analysis was used to examine the dose‒response relationships between these indices and depression risk, whereas receiver-operating characteristic (ROC) analysis was used to evaluate their prognostic accuracy for depression risk. Participants in the highest SIRI and NPR quartile groups had significantly greater depression risk than those in the lowest quartile group did (OR (SIRI): 1.50, 95 % CI = 1.10-2.04; OR (NPR): 1.49, 95 % CI = 1.04-2.13). Subgroup analyses revealed consistent associations across different demographics and clinical subgroups. RCS analyses revealed a nonlinear association between depression risk and the SIRI (J-shaped, P nonlinearity <0.001) but not the NPR (P nonlinearity >0.05). ROC analysis revealed moderate discriminative ability for both the SIRI (AUC = 0.66, 95 % CI = 0.64-0.68) and the NPR (AUC = 0.65, 95 % CI = 0.63-0.67) in predicting depression among individuals with difficulty sleeping. These findings suggest that the SIRI and NPR are independently associated with increased depression risk among individuals with difficulty sleeping.

摘要

睡眠困难很常见,且常常先于抑郁症出现。我们旨在探讨睡眠困难个体的全身炎症标志物与抑郁风险之间的关联。我们使用了美国国家健康与营养检查调查(NHANES,2005 - 2020年)的数据,该调查涵盖了7916名报告有睡眠困难的参与者。通过外周血细胞计数计算全身炎症反应指数(SIRI)和中性粒细胞 - 血小板比率(NPR)。通过逻辑回归模型计算SIRI/NPR与抑郁风险的比值比(OR)和95%置信区间(CI)。使用受限立方样条(RCS)分析来检验这些指标与抑郁风险之间的剂量 - 反应关系,而使用受试者操作特征(ROC)分析来评估它们对抑郁风险的预测准确性。SIRI和NPR四分位数最高组的参与者的抑郁风险显著高于四分位数最低组的参与者(OR(SIRI):1.50,95% CI = 1.10 - 2.04;OR(NPR):1.49,95% CI = 1.04 - 2.13)。亚组分析显示,在不同的人口统计学和临床亚组中存在一致的关联。RCS分析显示抑郁风险与SIRI之间存在非线性关联(J形,P非线性<0.001),但与NPR之间不存在(P非线性>0.05)。ROC分析显示,SIRI(AUC = 0.66,95% CI = 0.64 - 0.68)和NPR(AUC = 0.65,95% CI = 0.63 - 0.67)在预测睡眠困难个体的抑郁方面具有中等判别能力。这些发现表明,SIRI和NPR与睡眠困难个体抑郁风险增加独立相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf34/12148667/7e43ee5669ff/gr1.jpg

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