Overview
Zhang and colleagues analysed NHANES 2003-2018 survey and laboratory data to test whether salt-use patterns were associated with urinary Ba, cadmium (Cd), Co, Cs, Mo, lead (Pb), Sb, Tl, W, and total arsenic (As). This is lane a4 biomonitoring and dietary-exposure evidence, not a salt occurrence study, because the paper does not measure metals in table salt or salt substitutes. The main adjusted signals were higher urinary Mo among salt-substitute users, higher urinary Cd, Pb, and Sb with very frequent table-salt addition, and higher urinary Ba, Cs, Pb, and Tl with cooking/preparation salt use.
Key numbers
- Study population:
11,574NHANES participants aged 20 years and older, selected from eight consecutive cycles between2003and2018. - Exclusions before the final analytic sample: participants under 20 years old
N = 35,522; missing urinary metal dataN = 30,871; missing salt-use pattern dataN = 1,235; missing covariate dataN = 1,110. - Table-salt categories in Table 1: ordinary salt
N = 7,525 (68%); lite saltN = 351 (2.6%); salt substituteN = 178 (1.4%); does not add salt or substitutesN = 3,520 (28%). - Overall urinary medians (Q1, Q3), in
μg/L: Ba1.28 (0.61, 2.45); Cd0.21 (0.10, 0.40); Co0.35 (0.21, 0.56); Cs4.5 (2.6, 6.9); Mo38 (20, 67); Pb0.42 (0.23, 0.75); Sb0.05 (0.03, 0.09); Tl0.16 (0.09, 0.25); W0.06 (0.03, 0.13); As7 (3, 15). - Table 1 urinary Cd medians by table-salt category, in
μg/L: ordinary salt0.20 (0.09, 0.39); lite salt0.20 (0.11, 0.45); salt substitute0.20 (0.12, 0.42); does not add salt or substitutes0.22 (0.11, 0.42); p-value0.021. - Table 1 urinary Mo medians by table-salt category, in
μg/L: ordinary salt37 (19, 66); lite salt33 (19, 62); salt substitute40 (18, 76); does not add salt or substitutes40 (21, 70); p-value0.033. - Table 1 urinary total As medians by table-salt category, in
μg/L: ordinary salt7 (3, 14); lite salt6 (3, 12); salt substitute6 (3, 17); does not add salt or substitutes8 (4, 17); p-value<0.001. - Adjusted Table 2 salt-type associations, in
μg/mg creatinineregression units: salt substitute vs ordinary salt for Mo0.155 (0.062, 0.247), p =0.001; does not add salt or substitutes vs ordinary salt for Mo0.046 (0.014, 0.078), p =0.006; does not add salt or substitutes vs ordinary salt for As0.087 (0.031, 0.143), p =0.003. - Adjusted Table 3 table-salt-frequency associations, in
μg/mg creatinineregression units: very often vs rarely adding salt at the table for Cd0.086 (0.037, 0.134), p<0.001, trend p0.002; Mo-0.055 (-0.102, -0.009), p0.022, trend p0.014; Pb0.156 (0.113, 0.199), p<0.001, trend p<0.001; Sb0.082 (0.036, 0.128), p<0.001, trend p<0.001. - Adjusted Table 3 occasional vs rare table-salt addition was significant for Sb only among the listed positive findings: Sb
0.046 (0.002, 0.091), p0.045. - Adjusted Table 4 cooking/preparation salt associations, in
μg/mg creatinineregression units: occasionally vs never for Ba0.092 (0.009, 0.175), p0.032; Cs0.069 (0.024, 0.115), p0.003; Tl0.057 (0.003, 0.111), p0.042. - Adjusted Table 4 very often vs never cooking/preparation salt associations: Cs
0.108 (0.07, 0.146), p<0.001; Pb0.075 (0.017, 0.133), p0.013; Tl0.083 (0.032, 0.133), p0.002. - Adjusted Table 4 trend p-values were significant for Cs
<0.001, Mo0.016, Pb<0.001, Tl0.002, and As0.031. - The paper states that all ten urinary heavy metals had detection rates exceeding
76.19%, with Sb having the lowest detection rate.
Methods (brief)
NHANES spot urine samples were collected at the Mobile Examination Center, processed, and analysed by the Division of Laboratory Sciences, National Center for Environmental Health, CDC, in Atlanta, Georgia. Ba, Cd, Co, Cs, Mo, Pb, Sb, Tl, W, and As were measured by inductively coupled plasma dynamic reaction cell mass spectrometry (ICP-DRC-MS); values below the LOD were replaced by LOD divided by the square root of 2, and urinary creatinine was measured to account for dilution. The weighted regression models adjusted for age, gender, race/ethnicity, educational attainment, smoking status, poverty income ratio, and BMI; sensitivity analyses added antihypertensive medication use, fish and shellfish consumption in the past 30 days, and current-smoker exclusions. The authors identify cross-sectional design, self-reported salt-use patterns, unadjusted geographic coding, some low detection rates, and biomarker limitations as important constraints; urinary As is total As and is not inorganic arsenic.
Implications
Microbiome: The discussion mentions gut microbiota as a hypothetical high-salt-diet mechanism, but the paper does not measure microbiome endpoints.
Related evidence
Update history
The five most recent substantive edits to this page, classified major (evidence or structure moved), correction (a published value or statement was wrong and has been fixed), or minor (narrative rewritten without changing the underlying evidence). Each description is derived from what the edit did to this page; the linked commit is the authoritative record, routine regeneration passes are excluded, and the full version history lives in git.
| Commit | Date | Change | Description |
|---|---|---|---|
| b01ec52c31 | 2026-08-04 | major | 1 section added |
| 3171d069e3 | 2026-08-02 | major | 1 section added |
| 90a2f9a38e | 2026-07-30 | major | 1 section added and 1 removed; narrative text revised |
| eaa8eeeedf | 2026-07-27 | major | 1 section added |
| 50de6ab217 | 2026-07-27 | minor | Narrative text revised |
