Table 2.
Logistic regression models examining the prediction of recovery-related use of online technology (ROOT; overall prevalence = 11%) from a) the set demographic covariates (top) and b) each individual clinical/recovery variable controlling for the set of demographic correlates (bottom).
No ROOT column % or mean (SD) |
ROOT column % or mean (SD) |
Adjusted OR | Pseudo R2 | |
---|---|---|---|---|
Age, years (%) | ||||
18–29 | 15.9 | 29.0 | 1a | |
30–44 | 26.2 | 37.8 | .72 | |
45–59 | 36.1 | 22.8 | .36** | |
60 + | 21.8 | 10.4 | .27*** | |
Gender (%) | ||||
Female | 39.0 | 47.6 | 1 | |
Male | 61.0 | 52.4 | .73 | |
Education (%) | ||||
Less than high school | 10.3 | 19.3 | 1 | |
High school diploma | 37.8 | 24.9 | .42* | |
Some college, no degree | 23.7 | 25.8 | 0.69 | |
Associate or bachelor | 22.2 | 21.8 | .63 | |
degree | ||||
Graduate degree | 5.9 | 8.2 | 1.16 | |
Race/Ethnicity (%) | ||||
White, non-Hispanic | 62.8 | 50.2 | 1 | |
Black, non-Hispanic | 14.1 | 11.1 | .84 | |
Other, non-Hispanic | 5.4 | 9.3 | 1.56 | |
Hispanic | 16.0 | 27.8 | 1.83* | |
2+ races, non-Hispanic | 1.7 | 1.7 | 1.10 | |
Income (%) | ||||
< 30,000USD | 33.0 | 38.8 | 1 | |
30,000–59,999USD | 26.5 | 22.2 | .72 | |
60,000–99,999USD | 24.0 | 31.4 | 1.33 | |
100,000+ USD | 16.5 | 7.7 | .45* | |
Household internet access | ||||
(%) | ||||
No | 3.2 | 6.5 | 1 | |
Yes | 96.8 | 93.5 | .36^ | |
Demographics model | .08 | |||
Primary substance (%) | .09b | |||
Alcohol | 51.5 | 48.4 | 1 | |
Cannabis | 10.4 | 16.0 | 1.27 | |
Opioids | 5.1 | 6.7 | 1.12 | |
Other drug | 20.1 | 18.2 | .98 | |
No responseb | 12.9 | 10.8 | ||
Complete abstinence (%) | .09 | |||
No | 47.0 | 59.6 | 1 | |
Yes | 53.0 | 40.4 | 0.69 | |
Anti-craving/Anti-relapse | .14 | |||
medication (%) | ||||
No | 93.6 | 70.9 | 1 | |
Yes | 6.3 | 26.7 | 5.58*** | |
No response | 0.1 | 2.3 | – | |
Outpatient or inpatient/ | .09 | |||
residential treatment | ||||
(%) | ||||
No | 74.5 | 71.5 | 1 | |
Yes | 24.7 | 25.8 | 1.31 | |
No Response | 0.8 | 2.7 | – | |
Recovery support services | .14 | |||
(%) | ||||
No | 80.6 | 49.7 | 1 | |
Yes | 18.7 | 47.6 | 4.13*** | |
No response | 0.8 | 2.7 | – | |
Arrested/drug court | .12 | |||
involvement (%) | ||||
Never arrested | 49.6 | 44.0 | 1 | |
Arrested, no drug court | 44.0 | 32.1 | .88 | |
Arrested, drug Court | 6.1 | 21.2 | 3.36*** | |
No response | 0.2 | 2.7 | – | |
Number of substances | 3.4 (2.6) | 3.6 (2.8) | 1.04 | .09 |
used M(SD) | ||||
Age of first substance use | 14.8 (4.5) | 13.2 (4.9) | .93** | .09 |
M(SD) | ||||
Psychological distress, M | 4.5 (5.2) | 7.8 (6.0) | 1.08*** | .11 |
(SD) | ||||
Quality of life, M(SD) | 29.4 (6.6) | 27.6 (7.1) | .98 | .09 |
Recovery capital, M(SD) | 47.1 (9.5) | 44.8(11.1) | .99 | .09 |
Years since problem | 12.3 (11.2) | 8.4 (8.9) | .99 | .08 |
resolution, M(SD) |
OR = Odds Ratio; CI = Confidence Interval.
p < .05.
p < .01.
p < .001.
p < .07.
Cells with a value of 1 correspond with the reference group for categorical variables.
Pseudo R2 corresponds to the full model predicting ROOT, including the clinical/recovery predictor in a given row, and the set of demographic characteristics (age, gender, education, race/ethnicity, household income, household internet access).