Table 1.
Descriptive statistics for all predictors included in data analysis (N =169 children)
| Variable | Mean | SD | Min | Max |
|---|---|---|---|---|
| Age at first assessment (years) | 10.16 | 0.87 | 8.31 | 12.49 |
| Age by assessment (years) | 11.18 | 1.19 | 8.31 | 13.9 |
| Valid accelerometer wear (days per child)a | 25.39 | 9.41 | 3 | 42 |
| Valid accelerometer wear (minutes per day)b | 818.96 | 52.06 | 669 | 971 |
| Body Mass Index (z-score) | 0.52 | 1.10 | −2.46 | 2.56 |
| Annual household Income quartilec | 2.50 | 1.07 | 1 | 4 |
| Frequency (1) | % | Min | Max | |
| Girl (1) vs boy (0) | 92 | 54.4 | 0 | 1 |
| Weekend day (1) vs weekday (0) | 1096 | 25.6 | 0 | 1 |
| Hispanic (1) vs non-Hispanic (0) | 94 | 55.6 | 0 | 1 |
a
A valid accelerometer wear day consisted of at least 10 hours of valid accelerometer wear time.
b
Non-valid accelerometer wear time consisted of zero activity counts for at least consecutive 60 minutes.
c
The annual household income quartile in USD was stratified as: 0–35,000 (1); 35,001–75,000 (2); 75,001–105,000 (3); 105,001 and above (4)