Table 1.
| A. Baseline characteristics of participants randomized in Study 1. | |||||
|---|---|---|---|---|---|
| Characteristic | Full Sample (N=137) | Monitor + Accept (N=54) | Monitor Only (N=53) | No Treatment (N=30) | Condition Difference |
| Age in yearsa | 37.68 (13.43) | 36.02 (14.35) | 37.58 (12.60) | 40.83 (12.95) | F(2,133)=1.25 |
| Sex | χ2(2)=0.96 | ||||
| Female | 92 (67.15%) | 34 (62.96%) | 36 (67.92%) | 22 (73.33%) | |
| Male | 45 (32.85%) | 20 (37.04%) | 17 (32.08%) | 8 (26.67%) | |
| Race | χ2(8)=7.56 | ||||
| American Indian/Alaska Native | 0 (0.00%) | 0 (0.00%) | 0 (0.00%) | 0 (0.00%) | |
| Asian | 14 (10.22%) | 7 (12.96%) | 6 (11.32%) | 1 (3.33%) | |
| Black/African American | 21 (15.33%) | 10 (18.52%) | 7 (13.21%) | 4 (13.33%) | |
| White/Caucasian | 91 (66.42%) | 33 (61.11%) | 36 (67.92%) | 22 (73.33%) | |
| Bi- or Multi-Racial | 6 (4.38%) | 2 (3.70%) | 1 (1.89%) | 3 (10.00%) | |
| Other | 5 (3.65%) | 2 (3.70%) | 3 (5.66%) | 0 (0.00%) | |
| Ethnicityb | χ2(2)=1.70 | ||||
| Hispanic or Latino | 6 (4.41%) | 3 (5.56%) | 3 (5.66%) | 0 (0.00%) | |
| Not Hispanic or Latino | 130 (95.59%) | 51 (94.44%) | 50 (94.34%) | 29 (96.67%) | |
| Education Level | χ2(16)=11.18 | ||||
| No High School Diploma | 1 (0.73%) | 0 (0.00%) | 1 (1.89%) | 0 (0.00%) | |
| GED | 2 (1.46%) | 1 (1.85%) | 1 (1.89%) | 0 (0.00%) | |
| High School Diploma | 10 (7.30%) | 4 (7.41%) | 3 (5.66%) | 3 (10.00%) | |
| Technical Training | 2 (1.46%) | 0 (0.00%) | 1 (1.89%) | 1 (3.33%) | |
| Some College, no degree | 18 (13.14%) | 9 (16.67%) | 4 (7.55%) | 5 (16.67%) | |
| Associate Degree | 10 (7.30%) | 3 (5.56%) | 5 (9.43%) | 2 (6.67%) | |
| Bachelor’s Degree | 41 (29.93%) | 19 (35.19%) | 17 (32.08%) | 5 (16.67%) | |
| Master’s Degree | 40 (29.20%) | 12 (22.22%) | 17 (32.08%) | 11 (36.67%) | |
| MD, PhD, JD, PharmD | 13 (9.49%) | 6 (11.11%) | 4 (7.55%) | 3 (10.00%) | |
| B. Baseline characteristics of participants randomized in Study 2. | |||||
|---|---|---|---|---|---|
| Characteristic | Full Sample (N=153) | Monitor + Accept (N=58) | Monitor Only (N=58) | Control (N=37) | Condition Difference Statistic |
| Age in years | 32.42 (13.68) | 32.76 (14.21) | 32.64 (12.93) | 31.54 (14.31) | F(2,150)=0.10 |
| Sex | χ2(2)=0.75 | ||||
| Female | 103 (67.32%) | 39 (67.24%) | 41 (70.69%) | 23 (62.16%) | |
| Male | 50 (32.68%) | 19 (32.76%) | 17 (29.31%) | 14 (37.84%) | |
| Race | χ2(8)=14.49 | ||||
| American Indian/Alaska Native | 1 (0.65%) | 0 (0.00%) | 0 (0.00%) | 1 (2.70%) | |
| Asian | 33 (21.57%) | 15 (25.86%) | 13 (22.41%) | 5 (13.51%) | |
| Black/African American | 33 (21.57%) | 14 (24.14%) | 16 (27.59%) | 3 (8.11%) | |
| White/Caucasian | 81 (52.94%) | 28 (48.28%) | 28 (48.28%) | 25 (67.57%) | |
| Bi- or Multi-Racial | 5 (3.27%) | 1 (1.72%) | 1 (1.72%) | 3 (8.11%) | |
| Ethnicity | χ2(2)=1.40 | ||||
| Hispanic or Latino | 7 (4.58%) | 2 (3.45%) | 2 (3.45%) | 3 (8.11%) | |
| Not Hispanic or Latino | 146 (95.42%) | 56 (96.56%) | 56 (96.56%) | 34 (91.89%) | |
| Education Level | χ2(14)=14.26 | ||||
| GED | 3 (1.96%) | 1 (1.72%) | 1 (1.72%) | 1 (1.72%) | |
| High School Diploma | 20 (13.07%) | 9 (15.52%) | 10 (17.24%) | 1 (2.70%) | |
| Technical Training | 1 (0.65%) | 1 (0.65%) | 0 (0.00%) | 0 (0.00%) | |
| Some College | 41 (26.80%) | 15 (25.86%) | 12 (20.69%) | 14 (37.84%) | |
| Associate Degree | 10 (6.54%) | 4 (6.90%) | 2 (3.45%) | 4 (10.81%) | |
| Bachelor’s Degree | 48 (31.37%) | 15 (25.86%) | 21 (36.21%) | 12 (32.43%) | |
| Master’s Degree | 26 (16.99%) | 10 (17.24%) | 11 (18.97%) | 5 (13.51%) | |
| MD, PhD, JD, PharmD | 4 (2.61%) | 3 (5.17%) | 1 (1.72%) | 0 (0.00%) | |
Note: Data are reported as means (SD) or numbers (%).
a
Age missing from one participant in the Monitor Only condition (N=136).
b
Ethnicity missing from one participant in the No Treatment condition (N=136).
*
p<.05