Table 1.
Men n = 26,746 | Women n = 28,533 | |
---|---|---|
| ||
Characteristics | % (n) | % (n) |
| ||
Age | ||
12–17 | 10.86 (9355) | 9.81 (8959) |
18–25 | 13.82 (8619) | 12.83 (9313) |
26–34 | 14.65 (2641) | 13.91 (2865) |
35+ | 60.67 (6131) | 63.45 (7396) |
| ||
Race | ||
White | 68.50 (17153) | 68.40 (18292) |
Black/African American | 11.06 (3277) | 12.56 (3788) |
Hispanic | 14.39 (4180) | 12.83 (4300) |
Other | 6.05 (2136) | 6.21 (2153) |
| ||
Marital Status | ||
Married | 54.53 (6471) | 50.30 (7879) |
Formerly Married | 13.21 (1487) | 22.98 (2770) |
Never Married | 32.26 (14202) | 26.72 (13538) |
| ||
Employment | ||
Employed | 68.93 (15067) | 57.04 (14737) |
Unemployed | 3.83 (1679) | 3.13 (1419) |
Not in Labor Forcea | 27.24 (10000) | 39.83 (12377) |
| ||
Education | ||
Less than high school | 15.98 (3536) | 13.82 (3159) |
High School Graduate | 27.70 (5971) | 28.51 (6355) |
College | 45.45 (7884) | 47.86 (10060) |
12 to 17 year olds | 10.87 (9355) | 9.81 (8959) |
| ||
Income | ||
Less than $20,000 | 16.72 (5619) | 21.27 (7021) |
$20,000–$49,999 | 33.89 (9423) | 25.04 (10204) |
$50,000–$74,999 | 17.76 (4672) | 17.42 (4721) |
$75,000 or More | 31.63 (7032) | 26.27 (6587) |
| ||
Lifetime Non-Medical Prescription Opioid Use | ||
Yes | 15.89 (4773) | 11.18 (4271) |
No | 84.11 (21973) | 88.82 (24262) |
| ||
Past Year Non-Medical Prescription Opioid Use | ||
Yes | 5.87 (2261) | 4.18 (2020) |
No | 94.43 (24485) | 95.82 (26513) |
| ||
Met Past Year Criteria for Prescription Opioid Abuse or Dependence | ||
Yes | 0.74 (259) | 0.58 (309) |
No | 99.26 (26487) | 99.42 (28224) |
12–17 year olds were not asked these questions.
Note. Results are reported as unweighted n and weighted percentages using SAS survey procedures. P-values were not included as the large sample size represented in this table generally leads to significant results in all cases, as was seen in this study.