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. 2019 Nov 13;68(5):226–235. doi: 10.1177/2165079919885957

Table 3.

Results of Adjusted Multivariate and Logistic Regressions Between Age, BMI, Education Level, Income, and Hours Worked With Health Behaviors

Continuous health behavior outcomes Predictor variables F p R 2 N
Age BMI Education Income Hours worked/
7 days
β β β β β
Full models  MVPA minutes/week −.17* −.17* −.02 .05 .06 2.26 .039 .06 204
 Servings of fruit/veg −.04 −.18* .14 .06 .09 4.35 .000 .12 205
 Hours sitting/day .11 .15* .12 .19** .26* 5.83 .000 .15 204
 Hours sleep/night .10 −.15 .03 −.14 −.20* 1.89 .089 .08 131
 Number of alcoholic beverages consumeda −.30** .00 −.12 −.06 .12 2.17 .053 .12 106
 How often six or more drinks on one occasiona −.34** −.24** −.31** .13 .19* 5.83 .000 .26 105
Dichotomous health behavior outcomes OR
(95% CI)		 OR
(95% CI)		 OR
(95% CI)		 OR
(95% CI)		 OR
(95% CI)		 χ2 p R 2 N
Smoker or ex-smoker—Yes 1.02
[0.99, 1.06]		 0.99
[0.90, 1.08]		 0.42**
[0.24, 0.73]		 1.02
[0.52, 2.01]		 1.02
[0.99, 1.05]		 15.29 <.001 .15 129
Three or more alcoholic drinks per day—Yes 0.96*
[0.93, 0.99]		 1.05
[0.95, 1.15]		 0.86
[0.51, 1.45]		 0.61
[0.32, 1.14]		 1.01
[0.98, 1.04]		 12.13 .05 .12 131

Note. BMI = body mass index; MVPA = moderate-to-vigorous physical activity; OR = odds ratio; CI = confidence interval.

a

Includes just those who drink alcohol; separate multivariate regressions were conducted for each continuous health behavior outcome variable with worksite entered first as a control variable, and age, BMI, education, income, and hours worked entered on the next step. Separate logistic regression analyses were conducted for each dichotomous health behavior outcome variable with worksite entered first as a control variable, and age, BMI, education, income, and hours worked entered on the next step. Adjusted βs and adjusted odds ratios are reported. Nagelkerke R2 is reported for logistic regressions.

*

p < .05. **p < .01.