Table 1.
Descriptive Statistics for Urban and Suburban U.S. Adolescents with High Depressive Symptoms (N=1,133)
| Mean/Pct. | S.D. | |
|---|---|---|
| Outcome Variable | ||
| Any Counseling in Clinical Setting | 14.2% | - |
| Sociodemographic Characteristics | ||
| Age | 15.8 | 1.5 |
| Male | 40.8% | - |
| Race | ||
| White | 38.9% | - |
| Hispanic | 25.6% | - |
| Black | 24.0% | - |
| Asian/PI | 9.6% | - |
| Other Race/Ethnicity | 1.9% | - |
| Two Biological Parents | 44.4% | - |
| Family Income ($10,000) | $38,808 | $43,461 |
| Insurance Status | ||
| Private Insurance | 63.7% | - |
| Insured with Medicaid/Medicare | 14.6% | - |
| Other Insurance | 4.9% | - |
| Uninsured | 16.8% | - |
| Need Characteristics | ||
| Depressive Symptoms (22–54) | 25.9 | 5.0 |
| Suicidal Thoughts | 41.0% | - |
| Suicide Attempt | 15.3% | - |
| Alcohol Use | - | |
| No Alcohol Use | 40.1% | - |
| Moderate Drinker | 27.1% | - |
| Heavy Drinker | 32.8% | - |
| Illicit Drug Use (1=yes) | 28.6% | - |
| Self-rated health fair/poor (1=yes) | 19.0% | |
| Propensity to Seek Services in Alternative Settings | ||
| Any counseling in school setting (at baseline) | 9.8% | - |
| Any counseling in other setting (at baseline) | 3.7% | - |
| County Variables‡ | ||
| Affluence Index | 0.0 | 1.0 |
| Percent Households with Income >$75,000 | 10.7% | 6.1% |
| Percent Adults Age 25+ with College Degree | 27.2% | 7.2% |
| Percent Employed in Managerial and Professional Specialty Occupations | 26.3% | 5.0% |
| Percent Black | 14.6% | 12.5% |
| Percent Hispanic | 14.0% | 15.3% |
| Health Care Infrastructure | ||
| Number of psychiatrists per 100K | 13.0 | 11.5 |
| Number of general and family practitioners per 100K | 26.6 | 9.4 |
Notes: Data come from National Longitudinal Study of Adolescent Health (Add Health); Outcome variable was measured at Wave 2, and individual-level predictor variables were measured at baseline. County-level measures come from U.S. Census data and Area Resource File data included in the Add Health contextual database.
‡
Adolescents in sample clustered within 87 counties