Table 3. Association of blood lead level quartiles (independent variable) with body mass index (dependent variable).
| Body mass index | Blood lead level, ug/dl |
P for trend | |||
|---|---|---|---|---|---|
| Q1 | Q2 | Q3 | Q4 | ||
| Men | |||||
| Model 1 (SE) | Ref. | −0.19 (0.20) | −0.11 (0.20) | −0.31 (0.20) | 0.19 |
| Model 2 (SE) | Ref. | −0.11 (0.20) | 0.13 (0.21) | 0.002 (0.21) | 0.73 |
| Model 3 (SE) | Ref. | −0.06 (0.19) | 0.05 (0.19) | 0.01 (0.20) | 0.82 |
| Women | |||||
| Model 1 (SE) | Ref. | −0.11 (0.18) | 0.43 (0.18)* | 0.89 (0.18)* | <0.001 |
| Model 2 (SE) | Ref. | −0.12 (0.17) | 0.30 (0.17) | 0.59 (0.18)* | <0.001 |
| Model 3 (SE) | Ref. | −0.12 (0.17) | 0.27 (0.17) | 0.59 (0.17)* | <0.001 |
Data are expressed as unstandardized coefficients (standard errors). Linear regression analyses were used. Model 1 was unadjusted. Model 2 included terms for age, rural/urban residence, economic status and current smoking. Model 3 included terms for model 2, diabetes, dyslipidemia and hypertension.
*Denotes statistical significance at P < 0.05.