Table 4.
Associations between job variables and 2012-13 LUTS/impact cluster category membership among CARDIA women, adjusting for age, race, and parity (n=1,006). a
| Proportional Odds | Moderate/Severe LUTS versus BH/Mild LUTS | LUTS (Mild, Moderate, Severe) versus BH | ||||
|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | OR | 95% CI | |
| Main Effects of Job Variables (entered simultaneously) | ||||||
| Psychological Job Demands | 1.05 | (0.89, 1.24) | 0.96 | (0.68, 1.35) | 1.20 | (0.89, 1.62) |
| Decision Latitude | 0.85 | (0.72, 1.00) | 0.76 | (0.54, 1.07) | 0.75 | (0.56, 1.02) |
| Job Strain Examined as an Interaction (entered simultaneously) | ||||||
| Psychological Job Demands | 0.60 | (0.20, 1.81) | 0.19 | (0.02, 1.84) | 0.75 | (0.10, 5.57) |
| Decision Latitude | 0.52 | (0.20, 1.37) | 0.18 | (0.02, 1.35) | 0.50 | (0.09, 2.89) |
| Psychological Job Demands x Decision Latitude | 1.20 | (0.84, 1.72) | 1.71 | (0.81, 3.59) | 1.17 | (0.61, 2.24) |
| Job Strain Examined as an Averaged Ratio | ||||||
| Psychological Job Demands / Decision Latitude | 1.29 | (0.90, 1.86) | 1.30 | (0.61, 2.77) | 1.78 | (0.91, 3.47) |
| Year 2 Occupation (reference group is Managerial/Professional) b | ||||||
| Technical/Sales/Support | ||||||
| Technical | 1.12 | (0.79, 1.59) | 1.12 | (0.51, 2.46) | 1.25 | (0.68, 2.30) |
| Sales | 1.22 | (0.94, 1.58) | 1.97 | (1.16, 3.36) | 0.93 | (0.59, 1.47) |
| Support | 1.27 c | (1.03, 1.55) | 1.85 | (1.20, 2.86) | 1.24 | (0.87, 1.77) |
| Nurses, Health Assistants, and Health Aides | 1.22 | (0.90, 1.65) | 1.53 | (0.80, 2.94) | 1.39 | (0.80, 2.42) |
| K-12 Teachers, Assistants, and Child Care Workers | 1.18 | (0.80, 1.76) | 1.66 | (0.73, 3.77) | 1.18 | (0.58, 2.38) |
| Service | 1.78 | (1.34, 2.36) | 2.97 | (1.66, 5.30) | 2.32 | (1.33, 4.04) |
| Precision/Craft/Repair | 1.09 | (0.63, 1.90) | 1.13 | (0.33, 3.88) | 1.29 | (0.50, 3.35) |
| Operators/Fabricators/Laborers | 1.34 | (0.92, 1.97) | 2.34 c | (1.09, 5.05) | 1.38 | (0.68, 2.79) |
| Year 10 Occupation (reference group is Managerial/Professional) b | ||||||
| Technical/Sales/Support | ||||||
| Technical | 0.97 | (0.66, 1.43) | 0.88 | (0.38, 2.06) | 1.11 | (0.59, 2.10) |
| Sales | 1.33 d | (1.00, 1.75) | 2.11 | (1.21, 3.68) | 1.12 | (0.68, 1.84) |
| Support | 1.15 | (0.93, 1.42) | 1.34 | (0.86, 2.09) | 1.15 | (0.80, 1.65) |
| Nurses, Health Assistants, and Health Aides | 1.49 | (1.13, 1.97) | 1.83 d | (1.03, 3.24) | 2.16 | (1.26, 3.70) |
| K-12 Teachers, Assistants, and Child Care Workers | 1.05 | (0.75, 1.47) | 1.45 | (0.74, 2.84) | 0.88 | (0.50, 1.54) |
| Service | 2.10 | (1.56, 2.84) | 4.80 | (2.68, 8.60) | 2.27 | (1.26, 4.11) |
| Precision/Craft/Repair | 1.60 | (0.97, 2.63) | 1.77 | (0.62, 5.05) | 2.68 | (0.96, 7.49) |
| Operators/Fabricators/Laborers | 1.49 d | (1.05, 2.13) | 2.24 d | (1.11, 4.53) | 1.96 | (0.99, 3.86) |
a
For all analyses, covariates include age, race (Black versus White), and parity by Year 25 (1 or more versus 0).
b
Due to small numbers, participants whose occupations corresponded to the category, “Farming/Forestry/Fishing,” were not included. Sample size is 975 for Year 2 and 943 for Year 10.
c
This effect was non-significant when additionally adjusting for highest education by Year 2 and Year 2 financial hardship.
d
This effect was non-significant when additionally adjusting for highest education by Year 10 and Year 10 financial hardship.