Table 1.
Job strain exposure at baseline and follow-up
|
Total (n=52656, 100%) | ||||
---|---|---|---|---|---|
No-no (n=37247, 70.7%) | Yes-no (n=6726, 12.8%) | No-yes (n=5011, 9.5%) | Yes-yes (n=3672, 7.0%) | ||
Age in 1993*, mean (SD) | 38.6(4.6) | 38.0(4.6) | 38.2(4.6) | 38.0(4.6) | 38.5(4.6) |
BMI in 1993, mean (SD) | 25.1(5.4) | 25.4(5.5) | 25.4(5.5) | 25.5(5.7) | 25.2(5.4) |
Race/Ethnicity | |||||
African-American, % | 1 | 2 | 1 | 1 | 1 |
Latina, % | 1 | 1 | 1 | 1 | 1 |
Asian, % | 1 | 2 | 1 | 2 | 1 |
Caucasian, % | 95 | 93 | 94 | 94 | 94 |
Other, % | 2 | 2 | 2 | 2 | 2 |
Employment type in 1993 | |||||
Inpatient/ER nurse, % | 31 | 46 | 43 | 55 | 36 |
Outpatient/community nurse, % | 18 | 14 | 16 | 11 | 17 |
OR nurse, % | 4 | 9 | 6 | 10 | 6 |
Nursing education, % | 7 | 3 | 3 | 1 | 6 |
Nursing student, % | 1 | 1 | 1 | 0 | 1 |
Nursing administration, % | 12 | 6 | 9 | 4 | 11 |
Other nursing job, % | 21 | 19 | 19 | 17 | 20 |
Non-nursing job, % | 5 | 2 | 2 | 2 | 4 |
Smoking status in 1993 | |||||
Never smoked, % | 66 | 65 | 65 | 65 | 65 |
Former smoker, % | 24 | 24 | 23 | 23 | 24 |
Current smoker, % | 11 | 12 | 12 | 12 | 11 |
#cigarettes/day, mean (SD) | 15.3(9.8) | 15.9(10.3) | 16.6(10.3) | 16.3(9.5) | 15.5(9.9) |
METs/week, mean (SD) | 19.5(21.2) | 19.0(21.3) | 18.5(21.4) | 18.4(20.8) | 19.3(21.1) |
#hours/week watching TV, mean (SD) | 8.6(7.9) | 9.2(8.8) | 9.3(8.6) | 9.6(8.9) | 8.8(8.2) |
Alternative Healthy Eating Index (range: 2.5 – 87.5), mean (SD) | 37.2(10.7) | 36.8(10.7) | 36.3(10.4) | 36.3(10.4) | 37.0(10.6) |
Average hours of sleep, mean (SD) | 7.0(0.9) | 6.9(1.0) | 6.9(1.0) | 6.8(1.0) | 7.0(0.9) |
Notes. Values are standardized to the age distribution of the study population.
Value is not age adjusted. Values of polytomous variables may not sum to 100% due to rounding.
The number of cigarettes per day was calculated for current and former smokers. METs = metabolic equivalent of tasks.
Missing data in each variable were less than 4% except for the alternative healthy eating index (6.3%) and average hours of sleep (18.7%). All missing data were coded as missing and kept in the regression analyses