Table 4 Association of blood lead level with overweight and obesity.

From: Blood lead level and its association with body mass index and obesity in China - Results from SPECT-China study

Body mass index

Blood lead level, ug/dl

P for trend

Q1

Q2

Q3

Q4

Men

Overweight

Model 1

1.00 (Ref)

0.95(0.74, 1.22)

0.95(0.74, 1.22)

0.82(0.64, 1.05)

0.13

Model 2

1.00 (Ref)

1.00(0.78, 1.29)

1.04(0.81, 1.35)

0.95(0.73, 1.24)

0.82

Model 3

1.00 (Ref)

1.02(0.79,1.33)

1.01(0.77, 1.32)

0.95(0.72,1.26)

0.74

Obesity

Model 1

1.00 (Ref)

0.76(0.44, 1.31)

0.96(0.57, 1.61)

0.75(0.44, 1.28)

0.46

Model 2

1.00 (Ref)

0.75(0.42, 1.34)

1.19(0.69, 2.04)

0.90(0.50, 1.61)

0.92

Model 3

1.00 (Ref)

0.73(0.40, 1.33)

1.13(0.64, 1.97)

0.88(0.48, 1.61)

0.99

Women

Overweight

Model 1

1.00 (Ref)

0.87(0.69, 1.08)

1.16(0.94, 1.45)

1.36(1.10, 1.69)

<0.001

Model 2

1.00 (Ref)

0.83(0.66, 1.04)

1.08(0.87, 1.36)

1.14(0.91, 1.43)

0.08

Model 3

1.00 (Ref)

0.82(0.65, 1.04)

1.07(0.85, 1.35)

1.16(0.92, 1.46)

0.07

Obesity

Model 1

1.00 (Ref)

1.17(0.73, 1.85)

1.36(0.86, 2.15)

2.09(1.36, 3.21)

<0.001

Model 2

1.00 (Ref)

1.20(0.74, 1.96)

1.35(0.84, 2.20)

1.83(1.15, 2.92)

<0.01

Model 3

1.00 (Ref)

1.16(0.70, 1.90)

1.31(0.80, 2.14)

1.86(1.16, 2.98)

<0.01

  1. Data are odds ratio (95% confidence interval). Multinomial logistic regression analyses were performed. Model 1 was unadjusted. Model 2 included terms for age, rural/urban residence, economic status and smoking. Model 3 included terms for model 2, diabetes, dyslipidemia and hypertension. No interaction was found between blood lead level and diabetes, dyslipidemia or hypertension.
  2. Overweight and obese adults were defined based upon BMI measures of 25–29.9 kg/m2 and ≥30 kg/m2, respectively.