Skip to main content
. 2016 Dec 18;3:89–98. doi: 10.1016/j.ssmph.2016.12.009

Table B1.

Multinomial Logistic Regression.

Referent (Class 2) 1 3 4 5 6 7
Age 1.01 ** 0.96 *** 0.99 * 0.92 *** 1.04 *** 1.00
(1.00 - 1.02) (0.96 - 0.97) (0.99 - 1.00) (0.91 - 0.93) (1.02 - 1.05) (0.99 - 1.00)


 

 

 

 

 

 

 

 

 

 

 

 


Age * Age 1.00 *** 1.000 1.00 *** 1.00 *** 1.00 *** 1.00 ***
(1.00 - 1.00) (1.00 - 1.00) (1.00 - 1.00) (1.00 - 1.00) (1.00 - 1.00) (1.00 - 1.00)


 

 

 

 

 

 

 

 

 

 

 

 


Sex (Referent: Women)
Men 1.34 *** 2.09 *** 1.63 *** 0.71 *** 2.12 *** 1.90 ***
(1.28 - 1.40) (1.98 - 2.21) (1.58 - 1.69) (0.68 - 0.75) (2.00 - 2.24) (1.81 - 2.00)


 

 

 

 

 

 

 

 

 

 

 

 


Race/ethnicity (Referent: Non-Hispanic White)
Non-Hispanic Black 0.63 *** 1.33 *** 1.35 *** 2.33 *** 0.89 * 0.88 ***
(0.58 - 0.68) (1.23 - 1.44) (1.27 - 1.43) (2.18 - 2.51) (0.80 - 0.99) (0.82 - 0.95)


 

 

 

 

 

 

 

 

 

 

 

 


Hispanic 0.44 *** 1.15 ** 1.33 *** 2.82 *** 0.67 *** 0.62 ***
(0.41 - 0.48) (1.06 - 1.24) (1.25 - 1.41) (2.62 - 3.03) (0.61 - 0.73) (0.57 - 0.67)


 

 

 

 

 

 

 

 

 

 

 

 


Other race 0.65 *** 1.053 0.78 *** 2.03 *** 0.79 *** 0.64 ***
(0.59 - 0.72) (0.95 - 1.16) (0.71 - 0.85) (1.85 - 2.23) (0.70 - 0.89) (0.58 - 0.71)


 

 

 

 

 

 

 

 

 

 

 

 


Region (Referent: Northcentral/midwest)
Northeast 1.00 1.25 *** 1.08 * 1.12 0.77 *** 0.94
(0.93 - 1.08) (1.13 - 1.39) (1.00 - 1.16) (1.00 - 1.25) (0.69 - 0.86) (0.86 - 1.03)


 

 

 

 

 

 

 

 

 

 

 

 


South 0.91 * 1.05 1.31 *** 1.50 *** 0.84 *** 1.05
(0.84 - 0.99) (0.96 - 1.14) (1.21 - 1.41) (1.35 - 1.67) (0.76 - 0.93) (0.98 - 1.15)


 

 

 

 

 

 

 

 

 

 

 

 


West 1.10 1.05 0.85 *** 0.98 0.86 ** 1.08
(0.97 - 1.17) (0.95 - 1.16) (0.80 - 0.94) (0.87 - 1.09) (0.78 - 0.95) (0.98 - 1.20)


 

 

 

 

 

 

 

 

 

 

 

 


Constant 0.82 1.12 0.90 2.82 *** 0.40 *** 1.23 *
(0.67 - 1.01) (0.90 - 1.40) (0.77 - 1.04) (2.32 - 3.42) (0.31 - 0.52) (1.01 - 1.50)

All values include sample weights and adjust for complex survey design.

+p<0.10

***

p<0.001.

**

p<0.01.

*

p<0.05.