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Heavy Metal Index

Association between heavy metals exposure and depression: findings of the NHANES from 2003 to 2020

Summary

Cross-sectional analysis of NHANES 2003-2020 (N = 8,814; 731 with depression defined as PHQ-9 score 10 or above). Nine urinary metals and blood cadmium (Cd), mercury (Hg), and lead (Pb) examined. For antimony, a statistically significant association was found at Q3 (adjusted OR 1.34, 95% CI 1.03-1.75, p = 0.029) but not Q2 or Q4, and restricted cubic spline analysis confirmed a nonlinear dose-response (p for nonlinearity less than 0.001). Urinary antimony had a Bayesian posterior inclusion probability (PIP) of 0.448, identifying it as an important variable in BKMR machine-learning analysis. Tungsten (urinary) and blood Cd were the dominant positive contributors.

Key numbers

Urinary Sb (microg/L, raw), NHANES 2003-2020, N = 8,814:

  • Overall mean: 0.09 +/- 0.17 microg/L (mean +/- SE format from Table 1)
  • Non-depression group: 0.09 +/- 0.18 microg/L
  • Depression group: 0.09 +/- 0.13 microg/L
  • No significant difference between groups (p = 0.653)

Association with depression (adjusted multivariable model):

  • Q3 vs. Q1: OR = 1.34 (95% CI 1.03-1.75), p = 0.029
  • Q2 vs. Q1: OR = 1.07 (95% CI 0.83-1.39), p = 0.595 (not significant)
  • Q4 vs. Q1: OR = 1.25 (95% CI 0.93-1.68), p = 0.134 (not significant)
  • RCS: significant nonlinearity (p less than 0.001); non-monotonic dose-response
  • BKMR PIP: 0.448 (selected as important by Bayesian model; below the 0.5 threshold conventionally used for high inclusion probability)

Evidence Fitness

Modeled or limited evidence for Sb-depression association. The non-monotonic pattern (significant at Q3 but not Q4) is not consistent with a simple dose-dependent effect. Cross-sectional design cannot establish temporality. Single urinary measurement has high within-person variability for Sb.

Methods (brief)

NHANES 2003-2020, 8 cycles, N = 8,814 with complete data. Depression defined as PHQ-9 score 10 or above. Urinary metals by ICP-MS. Adjusted logistic regression, restricted cubic spline, weighted quantile sum (WQS), Bayesian kernel machine regression (BKMR). Adjusted for age, sex, race/ethnicity, education, poverty-income ratio, BMI, smoking.

Implications

  • Certification: urinary Sb shows a non-monotonic statistical association with depression risk in a large US sample; insufficient for a clinical reference value.
  • Courses: illustrates that multi-metal NHANES analyses frequently find weak, non-monotonic associations for Sb that do not translate to clear exposure limits.
  • App: not applicable.
  • Microbiome: not addressed.

Provenance notes

Open access, CC BY-NC-ND. File from PMC OA S3 (PMC12888277).

Update history

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