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. Author manuscript; available in PMC: 2018 Mar 1.
Published in final edited form as: J Aging Health. 2016 Dec 8;30(3):342–364. doi: 10.1177/0898264316678756

Table 4.

Odds Ratios From Logistic Regression Models Predicting Smoking Cessation and Exercise Initiation.

Smoking
cessation
Physical activity
initiation


B C


Women Men Women Men




Model 1 Model 2 Model 3 Model 4
Education (less than high school)
  High school 1.002 1.055 1.011 0.983
  Some college 1.244** 1.481*** 1.129** 1.016
  Bachelor’s degree 1.169 1.365** 1.098 0.788***
First hypertension diagnosis 0.729 1.516* 0.953 1.131
Interactions
  Education by hypertension diagnosis (less than high school × hypertension diagnosis)
    High school × hypertension diagnosis 1.594 0.981 0.937 0.875
    Some college × hypertension diagnosis 1.641 0.842 0.903 0.959
    Bachelor’s degree × hypertension diagnosis 3.142*** 0.846 1.511* 1.025
Demographic (non-Hispanic White)
  Hispanic 2.095*** 1.139 0.916 1.025
  Non-Hispanic Black 1.467*** 1.104 1.076* 0.971
  Age 1.025*** 1.025*** 0.988*** 1.006*
  Partnered 1.066 1.196 1.128*** 1.284***
Simultaneous diagnosis
  Diabetes 1.839*** 1.765*** 1.143 0.984
  Heart problem 3.341*** 3.302*** 1.189* 1.393***
  Stroke 2.520*** 2.468*** 0.600*** 0.740*
  Cancer 3.285*** 2.911*** 0.790 0.882
  Psychological problem 1.241 0.934 0.797* 0.622***
Control variables
  Spouse smoking status (spouse non-smoker)
    Spouse smokes 0.485*** 0.422***
    Missing spouse smoking status 0.806 0.789
  Mobility limitation 0.652*** 0.645***
  Employment (not employed)
    Full-time 0.829*** 1.006
    Part-time 0.965 0.988
Constant 0.038*** 0.039*** 0.964 0.340***
Sample size 1,564 1,385 5,760 4,278
Panel observations 6,299 5,157 20,980 13,505

Note. Reference categories shown in parentheses. All models also control for a prior diagnosis (i.e., diabetes, heart problem, or stroke), none of which were significant predictors of behavioral modifications.

*

p < .1.

**

p < .05.

***

p < .01.