Table 5 Results of the multiple logistic regression models analyzing the association between potential predictors and occupational injuries by type of injuries
From: Occupational injuries among children and adolescents in Cusco Province: a cross-sectional study
Falls1 | Injuries caused by car accidents2 | Injuries caused by physical violence at work3 | Severe injuries (Luxation, fractures, amputations)4 | |
|---|---|---|---|---|
N | 290 | 303 | 262 | 262 |
Age | - | - | - | |
9–14 years | 1 | |||
15–17 years | 2.12 (0.88–5.13) | |||
Gender | - | - | - | |
Female | 1 | |||
Male | 6.38 (0.76–53.90) | |||
Born and raised in Cusco | - | - | - | |
No | 1 | |||
Yes | 3.64 (1.44–9.26) | |||
Working days (per week) | - | - | - | |
≤5 days | 1 | |||
6 days | 0.26 (0.08–0.84) | |||
7 days | 0.24 (0.07–0.74) | |||
Sector | - | - | ||
Retail | 1 | 1 | ||
Manufacturing | 2.00 (0.30–13.50) | 1.42 (0.17–11.66) | ||
Service | 4.24 (1.17–15.39) | 0.60 (0.08–4.61) | ||
Construction | 5.33 (0.72–39.17) | 3.39 (0.45–25.64) | ||
Income (per day) | - | |||
0–9 PEN | 1 | 1 | 1 | |
10–19 PEN | 1.17 (0.51–2.68) | 1.07 (0.06–17.60) | 0.49 (0.08–2.66) | |
≥20 PEN | 2.75 (1.16–6.51) | 12.10 (1.26–116.01) | 2.15 (0.52–8.28) |