Table 4.
Distributions of Source Class Membership as a Function of Frequency, Motive, and Number of Sources of Nonmedical Use of Prescription Drugs
| Experimental / infrequent NMUPD (1-9 times) %, (n)1 |
Frequent NMUPD (10+ times) %, (n)a |
pb | Recreational / other motives (NMUPD) %, (n)a |
Self-treatment motives only (NMUPD) %, (n)a |
pb | One diversion source (NMUPD) %, (n)a |
Multiple diversion sources (NMUPD) %, (n)a |
pb | |
|---|---|---|---|---|---|---|---|---|---|
| Latent Classes of Sources | n=1652 | n=1643 | n=1690 | ||||||
| Friend/relative sources (n=686) | 77.7% (522) | 22.3% (150) | p < .001 | 87.9% (594) | 12.1% (82) | p = .371 | 74.0% (507) | 26.0% (179) | p < .001 |
| Friend/purchased sources (n=478) | 62.6% (296) | 37.4% (177) | p < .001 | 90.3% (429) | 9.7% (46) | p = .023 | 29.5% (139) | 70.5% (339) | p < .001 |
| Own leftover prescription (n=286) | 83.7% (237) | 16.3% (46) | p < .001 | 73.3% (195) | 26.7% (71) | p < .001 | 70.8% (201) | 29.2% (85) | p < .001 |
| Multiple sources (n=128) | 37.3% (47) | 62.7% (79) | p < .001 | 93.7% (118) | 6.3% (8) | p = .037 | 0.0% (0) | 100% (128) | p < .001 |
| Other sources (n=111) | 74.5% (73) | 25.5% (25) | p = .489 | 90.1% (91) | 9.9% (10) | p = .488 | 92.9% (103) | 7.1% (8) | p < .001 |
| No binge drinking (past 2-weeks) %, (n)a |
Binge drinking (past 2-weeks) %, (n)a |
pb | No cigarette smoking (past-month) %, (n)a |
Cigarette smoking (past-month) %, (n)a |
pb | No marijuana use (past-month) %, (n)a |
Marijuana use (past-month) %, (n)a |
pb | |
| Latent Classes of Sources | n=1622 | n=1632 | n=1633 | ||||||
| Friend/relative sources (n=686) | 53.3% (348) | 46.7% (305) | p = .644 | 53.6% (356) | 46.4% (308) | p = .108 | 38.5% (253) | 61.5% (404) | p = .845 |
| Friend/purchased sources (n=478) | 45.0% (211) | 55.0% (258) | p < .001 | 40.4% (187) | 59.6% (276) | p < .001 | 26.8% (126) | 73.2% (344) | p < .001 |
| Own leftover prescription (n=286) | 69.4% (195) | 30.6% (86) | p < .001 | 68.1% (190) | 31.9% (89) | p < .001 | 62.0% (173) | 38.0% (106) | p < .001 |
| Multiple sources (n=128) | 42.1% (51) | 57.9% (70) | p = .025 | 27.7% (33) | 72.3% (86) | p < .001 | 18.4% (23) | 81.6% (102) | p < .001 |
| Other sources (n=111) | 74.2% (72) | 25.8% (25) | p < .001 | 58.9% (63) | 41.1% (44) | p = .137 | 57.3% (59) | 42.7% (44) | p < .001 |
Note: Data source was Monitoring the Future study, 2009-2016 cohorts.
a
Respondents can only be assigned to one class based on the latent class analysis. Comparisons are assessing differences between subgroups in the probability of belonging to each class separately (columns will add to approximately 100%).
b
p values are from Rao-Scott 2 X 2 chi-square tests12 comparing the row percentages (df =1). Bold type indicates significant differences.