Table 2. Associations between patient and self-harm characteristics and S/Sh-related Internet use among children's hospital presentations, adjusted for age and sex.
| Factor | Categories | No. reported Internet use | Total no. with Internet data available | OR (95% CI) |
|---|---|---|---|---|
| n* (%) | n | |||
| Note. S/Sh = suicide/self-harm. | ||||
| Age (years) | ≤14 | 41 (24) | 173 | 1.00 |
| >14 | 40 (29) | 139 | 1.30 (0.78–2.16) | |
| p = 0.31 | ||||
| Gender | Male | 10 (26) | 38 | 1.00 |
| Female | 71 (26) | 274 | 0.95 (0.44–2.05) | |
| p = .89 | ||||
| Ethnicity | White | 69 (27) | 257 | 1.00 |
| Non-White | 2 (9) | 22 | 0.27 (0.06–1.20) | |
| p = 0.12 | ||||
| Past psychiatric history | Yes | 25 (27) | 94 | 1.00 |
| No | 52 (26) | 202 | 0.99 (0.57–1.74) | |
| p = .99 | ||||
| Past self-harm | Yes | 44 (30) | 149 | 1.00 |
| No | 31 (22) | 139 | 0.70 (0.41–1.19) | |
| p = .41 | ||||
| Beck Suicide Intent Scale | Low intent (0–8) | 32 (33) | 98 | 1.00 |
| High intent (9–30) | 18 (49) | 37 | 1.99 (0.92–4.34) | |
| p = .08 | ||||