Table 3. Show Characteristics and Predicted Probabilities of Each Snack Characteristic in Adolescents’ 25 Favorite Television Shows, Minnesota, 2010a .
| Characteristic | Snacks vs Meals | Mostly Unhealthy Snacks | Excessive Consumption of Snacksb | Screen Time Use With Snacksb |
|---|---|---|---|---|
|
% | ||||
| Type | ||||
| Sitcom (n = 12) | 57.5c | 65.1 | 2.8c | 28.5 |
| Cartoon (n = 4) | 29.9d | 87.2 | 37.5d | 27.3 |
| Drama (n = 9) | 40.2d | 71.3 | 0.0c | 9.4 |
| F statistic, P value | 4.81, .009 | 1.05, .35 | 3.28, .05 | 0.67, .52 |
| Ratinge | ||||
| Youth (Y or G) (n = 5) | 52.4c , d | 56.3 | 22.8 | 15.6 |
| General (PG) (n = 8) | 57.3c | 75.5 | 4.1 | 31.6 |
| Mature (14 or MA) (n = 12) | 36.7d | 71.9 | 0 | 19.6 |
| F statistic, P value | 3.29, .04 | 1.48, .23 | 1.42, .26 | 0.57, .57 |
a
From multilevel regression models, accounting for clustering of incidents within shows.
b
Of 135 incidents of food consumed on screen.
c,d
Predicted probabilities that share a superscript are not significantly different (P > .05).
e
Ratings were ascertained on the basis of information taken from each show’s website or the Internet Movie Database website (www.imbd.com) and combined into 3 categories for analysis: “Y or G,” youth audience; “PG,” general audience; and “14 or MA,” older audience.