This study, utilizing data from the U.S. National Health and Nutrition Examination Survey (NHANES) between 2005 and 2018, investigates the association between the atherogenic index of plasma (AIP), a lipid biomarker, and symptoms of depression in American adults. In this cross-sectional study of 12,534 adults aged 20 years and older, depressive symptoms were measured utilizing the Patient Health Questionnaire-9 (PHQ-9) scale. Weighted logistic regression models were employed to scrutinize the independent relationship between AIP levels and the likelihood of developing such symptoms. Moreover, a series of subgroup analyses were conducted to delve deeper into these relationships. Following adjustment for confounders, logistic regression by grouping AIP into quartiles revealed a significant association between AIP and an augmented likelihood of self-reported depression. Participants in the fourth quartile (Q4) exhibited a higher odds ratio (OR = 1.34, 95 % CI: 1.02–1.75, < 0.05) compared to those in the first quartile (Q1). Notably, subgroup analysis unveiled significant interactions involving the smoking and diabetes subgroups, indicating that smoking status and diabetes may modify the relationship between AIP and depression incidence. This study reveals a positive correlation between AIP and the self-reported likelihood of depression among US adults, thereby underscoring AIP's potential clinical utility as a biomarker for depressive disorders. Our findings emphasize the necessity to consider and optimize cardiovascular health factors within depression management strategies and offer fresh insights into the development of risk stratification and intervention methods for psychiatric conditions.

中文翻译：

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美国成年人血浆动脉粥样硬化指数与抑郁症状之间的关联：2005年至2018年国家健康和营养检查调查结果

这项研究利用 2005 年至 2018 年美国国家健康和营养检查调查 (NHANES) 的数据，调查了美国成年人血浆动脉粥样硬化指数 (AIP)（一种脂质生物标志物）与抑郁症状之间的关联。在这项针对 12,534 名 20 岁及以上成年人的横断面研究中，使用患者健康问卷 9 (PHQ-9) 量表测量抑郁症状。采用加权逻辑回归模型来仔细检查 AIP 水平与出现此类症状的可能性之间的独立关系。此外，还进行了一系列亚组分析以更深入地研究这些关系。对混杂因素进行调整后，通过将 AIP 分组为四分位数进行逻辑回归，结果显示 AIP 与自我报告的抑郁症可能性增加之间存在显着关联。与第一个四分位数 (Q1) 的参与者相比，第四个四分位数 (Q4) 的参与者表现出更高的比值比 (OR = 1.34，95% CI：1.02–1.75，< 0.05)。值得注意的是，亚组分析揭示了吸烟和糖尿病亚组之间的显着相互作用，表明吸烟状况和糖尿病可能会改变 AIP 和抑郁症发病率之间的关系。这项研究揭示了美国成年人中 AIP 与自我报告的抑郁症可能性之间的正相关性，从而强调了 AIP 作为抑郁症生物标志物的潜在临床实用性。我们的研究结果强调了在抑郁症管理策略中考虑和优化心血管健康因素的必要性，并为精神疾病风险分层和干预方法的发展提供了新的见解。