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.