Table 1.
Sample Demographics and Descriptive Analyses by Gender in a Longitudinal Cohort of Adolescent Females and Males (N = 13,952)
| Measure | Females (n = 7960) |
Males (n = 5992) |
|---|---|---|
| Age at 1996 (N, %) | ||
| Younger group (9–11 years) | 49.9 | 54.6 |
| Older group (12–14 years) | 50.1 | 45.4 |
| Race/Ethnicity (%) | ||
| White | 93.0 | 92.9 |
| Non-white | 7.0 | 7.1 |
| Income (%) | ||
| Low (< $50,000) | 10.3 | 10.4 |
| High (≥ $50,000) | 68.3 | 70.4 |
| Missinga | 21.4 | 19.2 |
| Sexual Orientationb (%) | ||
| Completely heterosexual | 80.7 | 91.1 |
| Mostly heterosexual | 15.9 | 6.1 |
| Bisexual | 2.1 | 0.7 |
| Lesbian/gay | 1.3 | 2.1 |
| Sexual Orientation Mobility (%) | ||
| None (0) | 60.0 | 55.6 |
| Low (.01–.5) | 15.9 | 7.9 |
| High (.51–1) | 5.1 | 2.7 |
| Missing | 18.9 | 33.9 |
| Child Abuse History (%) | ||
| None | 34.7 | 25.8 |
| 1 type | 18.4 | 16.0 |
| 2 types | 11.0 | 7.8 |
| 3–4 types | 7.0 | 4.4 |
| Missing | 28.9 | 46.0 |
| Weight-Related Behavior Trajectory Group Membershipc (%) | ||
| TV viewing | ||
| Med to low | 38.7 | 28.4 |
| Med to high | 22.5 | 32.2 |
| High to low | 38.9 | 39.4 |
| Sugar-sweetened beverage consumption | ||
| Low | 24.1 | 22.1 |
| Medium | 31.9 | 51.2 |
| High | 29.0 | 26.8 |
| High to low | 15.1 | - |
| Binge eating | ||
| No binge | 90.9 | 99.0 |
| Binge | - | 1.0 |
| Early onset binge | 4.0 | - |
| Late onset binge | 5.1 | - |
| Family dinner | ||
| Some to never | 2.6 | 1.5 |
| Most to some | 20.4 | 16.4 |
| Most | 42.4 | 43.8 |
| Everyday | 34.6 | 38.4 |
| Fast food consumption | ||
| Low | 41.2 | 28.6 |
| Medium | 49.1 | 56.9 |
| Medium to high | 9.7 | 14.5 |
| Caloric intake | ||
| Low | - | 36.4 |
| Medium | - | 30.6 |
| High | - | 33.0 |
| Low to medium | 26.6 | - |
| Low to high | 10.1 | - |
| Medium to low | 23.5 | - |
| Medium to high | 30.3 | - |
| High to low | 9.5 | - |
Frequency of missingness is reported for variables for which missing indicator method was used to handle missingness; this method treats missing data as an additional category for nominal variables.
Sexual orientation is from the most recent wave reported.
Weight-related behavior trajectory groups were generated through latent growth model methods with repeated measures. Latent growth model methods used to create weight-related behavior trajectory groups were stratified by gender, such that models for females and males yielded different groups for some variables. Frequencies may not add up to 100% for some weight-related behaviors due to rounding. Percent missing for specific weight-related behaviors is not reported because missingness was n < 17 per gender group.