Table 3.
Results for the subscale Risks and problem behaviors on the internet during the lockdown in patients with ID and non-ID (percent of responses).
| I have … | Not true | Slightly true | Quite true | Absolutely true | ||
|---|---|---|---|---|---|---|
| …. been a victim of cyberbullying | ID | 89% | 9% | 2% | 0% | n.s. |
| Non-ID | 92% | 7% | 1% | 0% | ||
| … been a cyberbullying offender | ID | 98% | 1% | 1% | 0% | n.s. |
| non-ID | 95% | 5% | 0% | 0% | ||
| … uploaded private data on the internet (e.g. personnel data, pictures of me scantily dressed) | ID | 89% | 7% | 1% | 3% | n.s. |
| non-ID | 87% | 10% | 1% | 2% | ||
| … played video games with harmful content or not allowed for my age (e.g. glorifying violence) | ID | 86% | 6% | 6% | 2% | n.s. |
| non-ID | 77% | 9% | 6% | 8% | ||
| … visited problematic chatrooms/chat groups my parents should not know about | ID | 88% | 10% | 0% | 1% | p < 0.080 |
| non-ID | 80% | 10% | 7% | 3% | ||
| … illegally downloaded or downloaded or distributed prohibited content | ID | 83% | 10% | 5% | 2% | n.s. |
| non-ID | 82% | 11% | 6% | 1% |