Table 2.
Prospective associations between baseline screen time and body mass index (BMI) percentile at one-year follow-up in the Adolescent Brain Cognitive Development Study
BMI percentile at follow-up, adjusted for baseline BMI percentile only | BMI percentile at follow-up, fully adjusteda | |||
---|---|---|---|---|
| ||||
B (95% CI) | p | B (95% CI) | p | |
| ||||
Total screen time | 0.29 (0.18 – 0.40) | <0.001 | 0.22 (0.10 – 0.34) | <0.001 |
Television | 0.46 (0.15 – 0.76) | 0.003 | 0.32 (0.02 – 0.62) | 0.039 |
Videos (YouTube) | 0.58 (0.29 – 0.87) | <0.001 | 0.36 (0.06 – 0.67) | 0.019 |
Video games | 0.53 (0.20 – 0.86) | 0.001 | 0.42 (0.06 – 0.78) | 0.021 |
Texting | 1.25 (0.62 – 1.87) | <0.001 | 0.92 (0.29 – 1.55) | 0.004 |
Video chat | 0.98 (0.34 – 1.61) | 0.003 | 0.72 (0.09 – 1.36) | 0.025 |
Social networking | 1.04 (0.29 – 1.80) | 0.007 | 0.67 (−0.07 – 1.41) | 0.075 |
Legend:
Bold indicates p<0.05. The B coefficient in the cells represents abbreviated output from a series of linear regression models with BMI percentile as the dependent variable and screen time as the independent variable. Thus, the table represents the outputs from fourteen regression models in total. ABCD propensity weights were applied based on the American Community Survey from the US Census.
Covariates: race/ethnicity, sex, household income, parent education, depression, binge-eating disorder, site, and baseline BMI percentile.