Table 2.
Association between body weight, BMI and substance use among African American femalesa
| Weight (kg) |
BMI (kg/m2) |
||
|---|---|---|---|
| Active marijuana use (vs. no) | β coefficient | −3.836 | −1.038 |
| SE | (2.916) | (1.105) | |
| P value | 0.190 | 0.348 | |
| Active opiate (other than heroin) use (vs. no) | β coefficient | −5.701 | −1.451 |
| SE | (5.105) | (1.948) | |
| P value | 0.265 | 0.457 | |
| Active speedball, crack or cocaine use (vs. no) | β coefficient | −2.557 | −1.573 |
| SE | (3.184) | (1.180) | |
| P value | 0.423 | 0.184 | |
| Active heroin use (vs. no) | β coefficient | −6.539 | −2.642 |
| SE | (3.344) | (1.198) | |
| P value | 0.052 | 0.028 | |
| Active other drug use (e.g., stimulants, sleeping pills, buprenorphine) (vs. no) |
β coefficient | 6.582 | 2.520 |
| SE | (5.783) | (2.371) | |
| P value | 0.256 | 0.289 | |
| Current smoking (vs. no) | β coefficient | −1.330 | −0.996 |
| SE | (3.289) | (1.221) | |
| P value | 0.686 | 0.415 | |
| Active alcohol use (vs. no) | β coefficient | −3.210 | −0.791 |
| SE | (3.014) | (1.080) | |
| P value | 0.288 | 0.465 |
Linear regression models were adjusted for age, unemployment, income, marital status, current pregnancy, depression, HIV infection, and different types of substance use other than the substance of interest.