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Association between serum and urinary environmental metal levels and major depressive disorder

A study based on logistic regression and quantile regression

Bibliographic Data

ID22085563
AuthorsQixuan Sun (0009-0008-0079-7167, Southwest University), Haiyang Ding (Southwest University), Chenxuan Lu (Southwest University), Lailai Yan (0000-0002-8554-9689, Peking University, corresponding author), Bing Cao (0000-0003-3588-972X, Southwest University, corresponding author)
Year2024
Volume12
Pages1450983-1450983
Publication date2024-08-29
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2024.1450983
PMID39228853
OpenAlexW4402016079
LanguageEN
References cited49

Background Major depressive disorder (MDD) is a prevalent mental disorder globally. Increasing evidence suggests that Environmental Metal (EM) play a crucial role in MDD. Therefore, this study investigated the roles of barium (Ba), cesium (Cs), nickel (Ni), manganese (Mn), lead (Pb), mercury (Hg), cadmium (Cd), and tin (Sn) in the etiology of MDD. Methods The study included 72 MDD patients and 75 healthy controls (HCs) from the Second People’s Hospital of Zhumadian, China. Inductively coupled plasma mass spectrometer (ICP-MS) measured the metal levels in serum and urine samples from both groups. Results Significant differences in serum and urine levels of EMs were observed between MDD patients and HCs. After adjusting for age, gender, and BMI, logistic regression and quantile regression models revealed significant associations between EMs and MDD. In serum samples, higher Sn levels (OR = 1.22, p = 0.044) increased MDD risk, whereas higher Cs levels (OR = 0.02, p < 0.001), Cd (OR = 0.06, p = 0.047), and Mn (OR = 0.54, p = 0.016) decreased MDD risk. In urine samples, higher Ba levels (OR = 0.94, p = 0.015), Ni (OR = 0.87, p = 0.0024), Sn (OR = 1.62, p < 0.001), and Mn (OR = 0.77, p = 0.037) were significantly associated with MDD. Sn significantly positively predicted HAMD-24 scores at the 0.50 and 0.75 quantiles (β = 0.96, p = 0.018; β = 1.25, p = 0.008) as did Pb (β = 5.15, p = 0.001; β = 4.19, p = 0.004). Ba positively predicted depressive symptoms across all quantiles (all p < 0.05). Hg positively predicted HAMD-24 scores at the 0.50 quantile (β = 9.20, p = 0.050). Conclusion These findings underscore EMs’ importance in depression, aiding in targeted interventions for varying degrees of depression and necessitating future studies to clarify causality and mechanisms

Cross-sectional regression · Econometrics · Environmental health · Logistic regression · Major depressive disorder · Polynomial regression · Psychiatry · Quantile regression · Regression · Regression analysis · Sociology · Statistics · Clinical Psychology · Demography · Heavy Metal Exposure and Toxicity · Heavy Metals in Plants · Magnesium in Health and Disease · Mathematics · Medicine · Psychology · Internal Medicine

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