TABLE 2.
Relative risks and attributable risk fractions in population of CTS according to industry sectors
| Industry sector (NACE code)a,b,c | Pe (%) | N (%) | RR [CI95%] | PAF (%)[CI95%]d |
|---|---|---|---|---|
| Women | ||||
| 1. Agriculture | 4.0 | 80 (9.8) | 2.4 [1.9–3.0] | 5.2 [3.1–7.2] |
| 2. Construction | 0.7 | 6 (0.7) | 2.3 [1.0–5.2] | - |
| 3. Manufacturing | 11.5 | 166 (20.4) | 2.0 [1.7–2.4] | 10.3 [7.1–13.4] |
| 4. Service industries | 49.5 | 477 (58.5) | 1.4 [1.2–1.6] | 16.0 [8.9–22.0] |
| Men | ||||
| 1. Agriculture | 8.7 | 34 (10.6) | 1.3 [0.9–1.9] | - |
| 2. Construction | 8.2 | 63 (19.7) | 2.9 [2.2–3.8] | 13.3 [8.4–18.0] |
| 3. Manufacturing | 22.0 | 115 (35.9) | 1.9 [1.5–2.4] | 17.0 [10.0–23.5] |
| 4. Service industries | 41.8 | 93 (29.1) | 0.5 [0.4–0.7] | - |
Note.
Persons working during the 5- year period before the diagnosis; ; Pe (%): percentage in the general population of the Maine-et-Loire area; N (%): number and distribution of CTS incident cases by industry sectors; CI95 %: 95% confidence interval;
Unspecified sector: 1 for women (0.1%) and 3 for men (1.0%);
Non-working persons haven’t Nace code (80 women and 10 men);
range computed using the lower and upper limits of the confidence interval of the RR of CTS in equation (1).