Table 4 Regression coefficients for urinary levels of heavy metals and metalloids and red blood cell parameters, Mexico 2023.

From: Hemoglobin and mean platelet volume abnormalities in children exposed to heavy metals and metalloids in a pilot biomonitoring study

 

\(\beta \:\:\left( {95\% \:{\mathbf{CI}}} \right), p\)

R2 adjusted

Model 1 (Hemoglobin, gr/dL)

0.114

Lead

− 0.01 (− 0.08 to 0.08), 0.992

 

Mercury

− 0.33 (− 0.75 to 0.11), 0.133

 

Model 2 (Hematocrit, %)

0.133

Copper

− 0.03 (− 0.06 to 0.01), 0.162

 

Lead

− 0.07 (− 0.31 to 0.18), 0.587

 

Model 3 (Platelet count, cells/µL)

0.115

Barium

− 1.29 (− 2.69 to 0.12), 0.073

 

Lead

− 2.29 (− 9.09 to 4.51), 0.506

 

Selenium

− 0.44 (− 0.89 to 0.01), 0.056

 

Model 4 (RDW, %)

0.030

Tin

− 0.06 (− 0.11 to − 0.01), 0.038

 
  1. Abbreviations: CI, confidence interval; RDW, red cell distribution width.
  2. Note: (1) Multiple linear regression models were used to compute the regression coefficients, CIs, and \(\:p\)-values; (2) The presented estimates for each model were adjusted for the metals included in each of them, as well as for age, sex, nutritional status (body mass index for age), and locality of residence; (3) The number of children included in each model is 91 for each substance, except for the following, based on urinary levels above the limit of detection: mercury (\(\:n\) = 90, Model 1), tin (\(\:n\) = 89, Model 4), and copper (\(\:n\) = 87, Model 2).
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