Metal exposures are ubiquitous around the world, while it is lack of prospective studies to evaluate the associations of exposure to multiple
metal/
metalloids with incident
dyslipidemia. A total of 2947 participants without
dyslipidemia at baseline were included in the analyses. We utilized inductively coupled plasma mass spectrometry to measure the baseline plasma
metal concentrations. Unconditional logistic regression models were applied to estimate the relations between plasma metals and risk of incident
dyslipidemia, and principal component analysis was performed to extract principal components of metals. During 5.01 ± 0.31 years of follow-up, 521 subjects were diagnosed with incident
dyslipidemia. After multivariable adjustment, the odds ratios (
ORs) of
dyslipidemia comparing the highest quartiles to the lowest were 1.58 (95% CI: 1.20, 2.08; Ptrend = 0.001) for
aluminum, 1.34 (95% CI: 1.03, 1.75; Ptrend = 0.03) for
arsenic, 1.44 (1.09, 1.91; Ptrend = 0.03) for
strontium, and 1.47 (95% CI: 1.09, 2.00; Ptrend = 0.005) for
vanadium. The four metals also showed significant associations with the subtypes of
dyslipidemia, including low HDL-C and high
LDL-C. The first principal component, which mainly represented
aluminum,
arsenic,
barium, lead,
vanadium, and
zinc, was associated with increased risk of incident
dyslipidemia, and the adjusted OR was 1.40 (95% CI: 1.07, 1.84; Ptrend = 0.02) comparing extreme quartiles. The study indicated that elevated plasma
aluminum,
arsenic,
strontium, and
vanadium concentrations were associated with a higher incidence of
dyslipidemia. These findings highlight the importance of controlling
metal exposures for
dyslipidemia prevention.