Table 1.
Univariate | Multivariate* | |||
Cases (n = 191) |
Controls (n = 286) |
OR (95% CI) | OR (95% CI) | |
Socio-occupational status | ||||
White collar | 19 | 134 | 1.0 | 1.0 |
Blue collar/housewife† | 172 | 152 | 8.0 (4.5-14.2) | 7.1 (4.0-12.7) |
BMI (kg/m2) | ||||
<25 | 80 | 167 | 1.0 | 1.0 |
25-29 | 69 | 91 | 1.6 (1.0-2.4) | 1.4 (0.9-2.4) |
≥30 | 41 | 25 | 3.4 (1.9-6.1) | 3.3 (1.6-6.6) |
Height, cm | ||||
<165 (women) or <175 (men) | 149 | 165 | 1.0 | 1.0 |
≥165 (women) or ≥175 (men) | 41 | 121 | 0.4 (0.2-0.6) | 0.5 (0.3-0.8) |
Alcohol consumption | ||||
Never | 67 | 83 | 1.0 | 1.0 |
1-2 drinks/wk | 37 | 56 | 0.8 (0.5-1.4) | 0.8 (0.4-1.6) |
3-6 drinks/wk | 11 | 26 | 0.5 (0.2-1.1) | 0.4 (0.1-1.1) |
1-2 drinks/day | 56 | 80 | 0.9 (0.5-1.4) | 0.8 (0.5-1.5) |
3 drinks/day or more | 20 | 41 | 0.6 (0.3-1.1) | 0.7 (0.3-1.6) |
Family history of CTS | ||||
None | 160 | 260 | 1.0 | 1.0 |
Father/mother | 15 | 22 | 1.1 (0.6-2.2) | 1.3 (0.5-3.1) |
Sibling | 15 | 3 | 8.1 (2.3-29.2) | 6.6 (1.5-29.4) |
Rheumatoid arthritis | ||||
No | 160 | 267 | 1.0 | 1.0 |
Yes | 30 | 19 | 2.6 (1.4-4.9) | 2.2 (1.0-4.6) |
Trigger finger | ||||
No | 157 | 271 | 1.0 | 1.0 |
Yes | 33 | 15 | 3.8 (2.0-7.3) | 2.7 (1.3-5.8) |
Diabetes mellitus | ||||
No | 181 | 280 | 1.0 | 1.0 |
Yes | 9 | 6 | 2.3 (0.8-6.7) | 2.6 (0.7-8.7) |
Renal failure | ||||
No | 187 | 282 | 1.0 | |
Yes | 3 | 4 | 1.1 (0.2-5.1) | |
Thyroid disorders | ||||
No | 163 | 253 | 1.0 | |
Yes | 27 | 33 | 1.3 (0.7-2.2) | |
Wrist fractures | ||||
None | 180 | 262 | 1.0 | |
At least one | 11 | 24 | 0.7 (0.3-1.4) | |
Smoking status | ||||
Never | 103 | 147 | 1.0 | |
Former | 31 | 65 | 0.7 (0.4-1.1) | |
Current | 57 | 73 | 1.1 (0.7-1.7) | |
Education level | ||||
Below high school diploma | 152 | 138 | 1.0 | |
High school diploma or higher | 39 | 148 | 0.2 (0.2-0.4) |
*Multivariate unconditional logistic regression model adjusted for socio-occupational status, BMI, height, alcohol, family history of CTS, rheumatoid arthritis, trigger finger and diabetes mellitus (ie all the variables apart from education level that reached p < 0.1 at univariate analysis), as well as age and gender (the two variables used for frequency matching, which were included to reduce residual confounding) and center.
†The grouping of housewives with blue-collar workers was based on biomechanical considerations.