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Table 4 Multivariable models of diabetes in men: odds ratios and 95% confidence intervals presented for PCB exposure, age, BMI group, and lipids n = 63 a

From: Polychlorinated biphenyl exposure, diabetes and endogenous hormones: a cross-sectional study in men previously employed at a capacitor manufacturing plant

Variables in model

PCBsbc

Lipid

Qrts

Job

Dioxin-

Non-

Estrogenic

Anti-

  

PCBsb

workedb

scoreb

like

dioxin

 

estrogenic

     

PCBsbc

PCBsbc

PCBsbc

PCBsbc

EUC exposured

3.0

3.0

1.8

1.6

2.7

3.0

3.0

2.4

 

(1.3, 7.0)

(1.3, 7.2)

(0.9, 3.7)

(0.8, 3.1)

(1.3, 5.8)

(1.3, 7.2)

(1.2, 7.5)

(1.2, 4.9)

Age

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

 

(0.9, 1.1)

(0.9, 1.1)

(0.9, 1.1)

(0.9, 1.1)

(0.9, 1.1)

(0.9, 1.1)

(0.9, 1.1)

(0.9, 1.1)

BMI Group

1.5

1.7

1.4

1.4

1.4

1.5

1.2

1.6

 

(0.3, 6.5)

(0.4, 7.2)

(0.4, 5.5)

(0.4, 5.1)

(0.3, 6.1)

(0.4, 6.6)

(0.3, 5.2)

(0.4, 6.5)

Lipids

1.1

n/a

1.2

1.3

1.0

1.1

1.1

1.1

 

(0.5, 2.1)

 

(0.6, 2.2)

(0.7, 2.4)

(0.5, 2.1)

(0.5, 2.1)

(0.6, 2.1)

(0.5, 2.1)

  1. a Logistic Regression models included variables listed in 1st column.
  2. bvariable not normally distributed, therefore natural log-transformed variable used in logistic regression model.
  3. cPCB is a sum of all PCB congeners measured, <LOD = zero; Dioxin-like PCBs include: 105, 118, 156, 157, 167, 189; Non dioxin-like PCBs: sum of all other PCBs beside dioxin-like; Estrogenic PCBs: sum of 52, 99, 101, 110, 153; Anti-estrogenic PCBs: sum of 105, 156.
  4. dEUC Exposure refers to the exposure variable listed in the column headings of the table.