Work

Interactive effects of high-density lipoprotein cholesterol and insulin resistance on depression: results from the NHANES (2005–2018)

Year: 2025

Type: article

Abstract: Prior studies on the relationship between high-density lipoprotein cholesterol (HDL-C) and depression have reported inconsistent results. Insulin resistance (IR) can alter the composition and function of HDL. This study aims to investigate whether IR influences the association between HDL-C and depression. Data from the National Health and Nutrition Examination Survey (2005–2018) were analyzed. Depression was assessed using the Patient Health Questionnaire-9, with a score of ≥ 10 indicating depression. IR was defined by a HOMA2-IR value of ≥ 2.5. Survey-weighted generalized linear models (GLMs) were used to examine the associations between HDL-C, IR, and depression. Multiplicative and additive interaction, along with subgroup analyses, evaluated HDL-C/IR interactions affecting depression. Sensitivity analyses were conducted by: (1) redefining IR, (2) adjusting for total cholesterol and triglycerides in the base models, (3) applying alternative weighting, and (4) including special participants. The study included 7,779 participants. Survey-weighted GLMs revealed no significant association between HDL-C or IR and depression. However, HDL-C and IR had a significant synergistic effect on the odds of depression (multiplicative scale[ P < 0.05] and additive interactions [relative excess risk due to interaction = 3.21]). Subgroup analyses confirmed IR significantly modified HDL-C-depression associations ( P interaction = 0.024). Specifically, in IR-positive individuals, Higher HDL-C linked to increased depression odds (odds ratio = 4.66, 95% confidence interval: 1.23–17.59, P = 0.02). Elevated HDL-C in the context of IR were associated with increased depression odds. These findings underscore the importance of considering IR when examining the relationship between HDL-C and neuropsychiatric disorders.

Source: Lipids in Health and Disease

DOI: 10.1186/s12944-025-02795-0

Authors: Liang Rao, Jing Li, Xiaohua Xian, Yanyi Hu, Yin Xian

Language: English

Topic: Diabetes, Cardiovascular Risks, and Lipoproteins

Subfield: Endocrinology, Diabetes and Metabolism

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,990

Funders: Bureau of Science and Technology Nanchong City, Jiangsu Development and Reform Commission, Natural Science Foundation of Sichuan Province