TABLE 2.
DEMOGRAPHIC AND PSYCHOSOCIAL CHARACTERISTICS OF 136 YOUNG ADULT URBAN AFRICAN AMERICAN MALES
| Variables | n | % |
|---|---|---|
| Ages (years) | ||
| 18-20 | 105 | 77 |
| 21-24 | 31 | 23 |
| Education | ||
| High school dropout | 25 | 18 |
| Presently in high school | 70 | 52 |
| Completed high school/GED | 31 | 23 |
| Vocation program, junior college, or university | 9 | 7 |
| Substance use | ||
| Alcohol | ||
| Yes | 121 | 91 |
| No | 12 | 9 |
| Marijuana (or weed) | ||
| Yes | 122 | 90 |
| No | 13 | 10 |
| Ecstasy | ||
| Yes | 14 | 11 |
| No | 112 | 89 |
| Other drugs (cocaine, crack, heroin, speed, inhalant) | ||
| Yes | 3 | 2 |
| No | 123 | 98 |
| Age of sexual debut (years) | ||
| 12 years old or younger | 43 | 31 |
| 13-15 | 75 | 55 |
| 16 or older | 18 | 13 |
| Sex past 30 days | ||
| Yes | 114 | 84 |
| No | 22 | 16 |
| Condom use past 30 days | ||
| Yes | 64 | 56 |
| No | 51 | 44 |
| Sex next 30 days | ||
| Yes | 123 | 91 |
| No | 12 | 9 |
| Condom use next 30 days | ||
| Yes | 92 | 70 |
| No | 40 | 30 |
| Frequency of condom use past 30 days | ||
| Never/inconsistent | 61 | 46 |
| Relatively consistent | 72 | 54 |
| Health behaviors | ||
| Know someone with HIV/AIDS | ||
| Yes | 36 | 27 |
| No | 99 | 73 |
| Know someone who had died of AIDS | ||
| Yes | 35 | 26 |
| No | 100 | 74 |
| Know someone with STDs | ||
| Yes | 75 | 56 |
| No | 59 | 44 |
| Condom carrying | ||
| Yes | 70 | 51 |
| No | 66 | 49 |
| Ever tested for HIV | ||
| Yes | 88 | 68 |
| No | 41 | 32 |
| Ever tested for other STDs (chlamydia, gonorrhea, etc.) | ||
| Yes | 81 | 63 |
| No | 47 | 37 |
| Treated for STDs | ||
| Yes | 41 | 32 |
| No | 88 | 68 |
| Peer condom use | ||
| None | 5 | 4 |
| Some/all | 131 | 96 |
| Peer communication | ||
| Condom use | ||
| Yes | 95 | 70 |
| No | 41 | 30 |
| HIV/STD prevention | ||
| Yes | 69 | 52 |
| No | 63 | 48 |
Percentages may or may not sum up to 100% due to responses such as do not know, undecided, rounding, etc. Also, some variables account for less than 136 subjects but their percentages are added up to 100% due to subsample (or population) responses and calculations.
GED, General Education Development; STDs, sexually transmitted diseases.