The association between lipid accumulation products and depression in U.S. adults: A cross-sectional study from NHANES 2005-2018.

Autor: Dai, Mengyao, Zhang, Yuyang, Chen, Yang, Wang, Long, Tian, Yanghua
Předmět:
Zdroj: International Journal of Psychiatry in Medicine; Nov2024, Vol. 59 Issue 6, p685-701, 17p
Abstrakt: Objective: The purpose of this study was to investigate the correlation between lipid accumulation products (LAP) and depression among adults in the United States. Methods: We analyzed data from 13,051 persons participating in the NHANES 2005-2018 cycle. The LAP index was calculated using the waist circumference (WC) and serum triglyceride (TG) levels, which reflect lipid toxicity. Participants who scored ≥10 on the Patient Health Questionnaire-9 (PHQ-9) were considered depressed. Multivariate logistic regression analyses were conducted to explore the association between the LAP index and depression. Subgroup analysis was also conducted to identify sensitive populations. Smoothed curve fitting and generalized additive model (GAM) regression were performed to verify the association between the LAP index and depression. Results: After adjusting for all potential confounders, the risk of depression increased with increasing LAP index (odds ratio [OR]=1.0011, 95% confidence interval [CI]= 1.0001-1.0021). Compared to participants in LAP quartile 1, participants in LAP quartile 3 exhibited the highest risk for depression (OR=1.43, 95% CI: 1.03-1.99). Subgroup analysis demonstrated a stronger association between the LAP index and depression in men (OR= 1.002, 95% CI= 1.001-1.004) and in those with hypertension (OR=1.002, 95% CI=1.000-1.003). Additionally, smoothed curve fitting and GAM regression demonstrated a positive linear correlation between the LAP index and depression. Conclusions: These findings suggest that individuals with a higher LAP index may be at greater risk for depression, particularly among men and those with hypertension. Further studies are required to confirm these findings. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index