Where the number comes from
+0.1344
Screen time against the 21-item questionnaire total, across 4,810 teenagers
Every correlation here is with the questionnaire total, on the same 4,810 teenagers. r² is the share of the differences between them that the measure accounts for.
| measure | r | r² |
|---|---|---|
| screen_time_index | +0.1344 | 1.8% |
| sleep_quality_index | +0.3806 | 14.5% |
| avg_sleep_hours | −0.2603 |
Sleep quality accounts for 8× the variance screen time does.
how much of the screen effect travels with sleep
| held constant | screen × it | partial r | absorbed |
|---|---|---|---|
| avg_sleep_hours | −0.2563 | +0.0725 | 46% |
| midsleep_weekend_hours | +0.2865 | +0.0968 | 28% |
| sleep_quality_index | +0.0923 | +0.1078 | 20% |
| social_jetlag_hours | +0.1820 | +0.1237 | 8% |
Starting from +0.1344. Holding hours slept constant absorbs 46% of it. This is a decomposition, not a causal claim — see the limits note on the piece.
the association is the same in both sexes
| group | n | pearson | 95% CI |
|---|---|---|---|
| Boy | 2,446 | +0.1376 | +0.0985 – +0.1763 |
| Girl | 2,364 | +0.1409 | +0.1012 – +0.1802 |
Screen Time vs Mental Health (ML-ready)Kaggle · kylefengkfeng209/screen-time-vs-mental-health-ml-ready · diambil 2026-07-30
