Non-medical use of prescription opioids among Ontario adults: data from the 2008/2009 CAMH Monitor.
Shield, Kevin D. ; Ialomiteanu, Anca ; Fischer, Benedikt 等
Prescription opioid analgesics (PO) use in North America has become
a major medical and public health concern with consumption of PO in
Canada and the United States (US) being higher than anywhere else in the
world. (1-3) In Canada, the amount of PO dispensed has doubled in the
last decade alone. (1) Additionally, the number of opioid-related deaths
(both prescription and illegal opioids) in Canada increased 41% from
1999 to 2004. (4) An analogous situation exists in the US, where the
prevalence of PO use and non-medical prescription opioid analgesics use
(NMPOU) and the incidence of mortality and morbidity associated with
NMPOU have increased since the early 1990s. (5-7)
Prevalence of PO use and the amount of PO dispensed in a population
for medical purposes is associated with 1) the prevalence of NMPOU,
(2,8,9) and 2) the mortality and morbidity associated with opioid use
(e.g., deaths due to overdose, and admissions to emergency rooms and
treatment facilities for substance abuse), albeit with a time lag.
(4,10) While the associations with PO use can be used to indirectly
estimate NMPOU prevalence, (9) another possibility is to use surveys
such as the Canadian Alcohol and Drug Use Monitoring Survey (CADUMS)
2008 which may be used to directly estimate the prevalence of NMPOU.
(11)
However, NMPOU prevalence for Canada as measured by the CADUMS 2008
seems unrealistically low when compared to data obtained from the US
National Survey on Drug Use and Health (NSDUH) (12,13) given per capita
use in both countries. (1) Various reasons have been suggested for the
differences between the results obtained from the CADUMS 2008 and the
NSDUH, such as sampling methods, response rates and item formulation.
(13-16)
Utilizing the CAMH Monitor 2008 and 2009 to estimate the types of
PO use in Ontario has many advantages over using the CADUMS 2008. Most
importantly, the CAMH Monitor had a region-stratified sampling design as
well as a higher response rate and, thus, should give more accurate
results. (16-18) In this article, we use data from the CAMH Monitor 2008
and 2009 to assess: 1) the prevalence of a) PO use, b) PO use for
intoxication purposes, and c) NMPOU; and 2) the associations of
demographic variables with the types of PO use.
METHODS
Survey design
Our study is based on data derived from the 2008 and 2009 cycles of
the CAMH Monitor, a county-stratified two-stage (telephone household,
respondent) probability sampling of Ontario adults (18 years and older)
performed in 24 waves between January 2008 and December 2009. The survey
was conducted using random-digit-dialing methods and computer-assisted
telephone interviewing with a response rate of 57% (see refs. 17 and 18
for sampling design details). Our analysis is based on a total sample of
2,030 adults. A posteriori population expansion weights were calculated
for the CAMH Monitor by triangulating survey data with census
information on age and gender.
Selection of variables for analysis
The main PO indicators of interest from the CAMH Monitor 2008 and
2009 were as follows: 1) use of PO in the "past 12 months"
(i.e., medical or non-medical); 2) any NMPOU in the previous 12 months
as computed by combining the responses of participants who reported they
had used PO during the previous 12 months "to get high" and
had a) used PO obtained "from a prescription written for someone
else", or b) used PO "bought from someone else, without a
prescription" or "from any other source"; and 3) any use
of PO for intoxication purposes was assessed by using PO during the
"past 12 months" on at least one occasion "to get
high?" (see refs. 17 and 18 for wording details).
Demographic variables included in our analysis included gender, age
(grouped into three categories: 18-29, 30-54, 55+), region (living in
Toronto, the rest of Ontario) and household income (<$30,000,
$30,000-79,000, $80,000+, not stated).
Substance use measures included tobacco use (defined as either
daily or occasional (in the last 12 months) cigarette smoking), weekly
binge drinking (defined as drinking five or more drinks on one occasion
at least once a week in the previous 12 months), and cannabis use
(defined as using cannabis at least once in the previous 12 months).
Psychological distress was measured by the 12-item General Health
Questionnaire (GHQ-12), (19) a screening instrument that evaluates
depression/anxiety and problems with social functioning. We used a
cut-off score of 3 or more on the GHQ-12 as an indication of elevated
psychological distress.
Statistical analyses
The results in this paper are based on "valid" responses
(n's), such that missing data (i.e., "don't know"
responses and refusals to respond) were excluded from our analyses.
Stata 10.1 and SPSS 15.0 software were employed for our analyses.
(20,21)
Prevalence of 1) any use of POs, 2) any NMPOU, and 3) the use of
POs for intoxication purposes, was assessed for all of Ontario and by
age, region, income, binge drinking, tobacco use, cannabis use and
psychological distress. Any estimate with a coefficient of variation
above 33.3 was considered unstable and should be interpreted with
caution. Confidence intervals for the prevalence of PO use, NMPOU, and
the use of POs for intoxication purposes were calculated using the
normal approximation as this method is deemed the most appropriate for
complex survey data. (22) Significant differences were determined using
chi-square tests. A posteriori population weights were used to estimate
the prevalence of the types of PO use and in all bivariate analyses.
Two-step logistic regression models were implemented, one for men
and one for women, to determine the variables associated with NMPOU. In
step 1, we assessed the impact of demographic factors (age, region, and
income); in step 2, we examined the impact of substance use (tobacco,
cannabis, binge drinking) and psychological distress on NMPOU while also
controlling for demographic factors. In all logistic regression models,
variance inflation factors (VIF) were examined, with a VIF >5
considered evidence of collinearity. Model fit was assessed using the
Hosmer-Lemeshow Goodness of Fit Test. (23) A modelling approach
suggested by Groves was adopted so that we did not take into account a
posteriori population expansion weights in our regression analyses. (24)
RESULTS
Table 1 presents data on the use of PO by demographic
characteristics, substance use and psychological distress. Any use of
POs was reported by 21.3% (95% CI 19.1-23.4) of Ontario adults. No
significant differences were found between men (19.9%, 95% CI 16.9-22.9)
and women (22.7%, 95% CI 19.6-25.9). Bivariate analyses revealed
significant differences only for psychological distress. Use of any PO
was significantly higher among those reporting elevated psychological
distress (37.3%, 95% CI 30.0-44.6). No significant differences were
found for age, region, income, tobacco use, binge drinking and cannabis
use.
Any NMPOU was reported by 2.0% (95% CI 1.2-2.8) of Ontario adults.
There were no significant differences between men (2.4%, 95% CI 1.0-3.7)
and women (1.6%, 95% CI 0.8-2.5). Significant differences were found
only for cannabis use and psychological distress. Any NMPOU was
significantly higher among those reporting cannabis use in the previous
12 months (6.3%, 95% CI 2.0-10.7 versus 1.0%, 95% CI 0.2-1.8) and among
those reporting elevated psychological distress (7.5%, 95% CI 3.1-11.9
versus 1.2%, 95% CI 0.6-1.7).
Any use of POs for intoxication purposes was reported by 0.5% (95%
CI 0.0-1.0) of Ontario adults. No significant differences were found
between men (0.8%, 95% CI 0.0-1.7) and women (0.2%, 95% CI 0.0-0.5).
Significant differences were found for age, tobacco use, cannabis use
and psychological distress. Use of any POs for intoxication purposes was
reported more frequently among those aged 18 to 29 (1.8%, 95% CI
0.0-4.4), among current smokers (1.7%, 95% CI 0.0-4.1), among people who
used cannabis during the previous 12 months (2.7%, 95% CI 0.0-6.2), and
among those reporting elevated psychological distress (2.4%, 95% CI
0.0-5.8).
In Table 2, we restrict our analysis to NMPOU only and present data
separately for men and women by demographic characteristics, substance
use and psychological distress. For both men and women, we found no
significant differences by age, region, income and weekly binge
drinking. Among women, NMPOU was significantly associated only with
tobacco use but not weekly binge drinking, cannabis use or psychological
distress. Among men, NMPOU was significantly associated with tobacco
use, cannabis use and psychological distress. Use was significantly
higher among tobacco smokers (6.5%, 95% CI 1.6-11.3 versus 1.2%, 95% CI
0.3-2.1), among cannabis users (8.6%, 95% CI 2.3-14.4 versus 1.0%, 95%
CI 0.2-1.8) and among men reporting elevated psychological distress
(14.0%, 95% CI 4.1-23.9 versus 1.0%, 95% CI 0.3-1.7).
Table 3 presents logistic regression models of NMPOU for men and
women, controlling for demographic characteristics in step 1 and for
added substance use and psychological distress in step 2. Demographic
characteristics (age, income and region) were not found to be
significant predictors of NMPOU for women in step 1; however, age was
found to be a significant predictor of NMPOU in men. When these factors
were controlled for and substance use and psychological distress were
included in step 2, cannabis use (OR=4.64) and psychological distress
(OR=7.55) became significant predictors of NMPOU for men. For women, the
logistic regression in step 2 revealed that psychological distress
(OR=4.21) was significantly associated with NMPOU.
DISCUSSION
This study explored the prevalence and covariates of NMPOU in the
Ontario adult general population. The key results from our analysis
demonstrate, first of all, that NMPOU is not significantly associated
with sex, age, income or region. As was the case in other studies, we
found evidence to suggest that the predictors of NMPOU in Ontario are
different for men and women in terms of age, cigarette smoking and
psychological distress. (25-28) In addition to differences in the
significance of these predictors, we also found a difference in the
significance of cannabis use in the previous year as a predictor of
NMPOU for men and women. Despite differences in the significance of
predictors, the prevalence of NMPOU in Ontario was not significantly
different by sex, as has been observed in countries other than Canada.
(28-30) Although more research is needed to confirm these observations,
it appears that all types of PO use, with the exception of PO use by
younger adults for intoxication purposes, are equally prevalent in adult
men and women of all income levels and regions in Ontario. PO use,
either medically or non-medically, is the only psychoactive substance
with no demographic differentiation; alcohol, tobacco and almost all
illegal drugs are more prevalent in men and younger age groups, and
benzodiazepine and most psychoactive medications are more prevalent in
women and the elderly. In other words, NMPOU seems to be the first
substance abuse problem that penetrates both sexes and different social
strata almost at the same level.
Bivariate analysis indicated that PO use, NMPOU, and use of POs for
intoxication purposes were all associated with psychological distress,
and that NMPOU and PO use for intoxication purposes were significantly
associated with cannabis use. Additionally, our logistic regression of
NMPOU found that psychological distress and cannabis use were associated
with the odds of NMPOU in the previous 12 months for men but not for
women. The results from our study confirm previous results that suggest
the NMPOU is associated with illicit drug use and mental illness in men.
(28-30) This result confirms findings from a number of other recent
studies, which have shown pronounced correlations between NMPOU and
mental health problems as well as other substance use problems. (31-33)
Thus, NMPOU commonly does not occur in isolation but occurs in the
context of concomitant substance use and/or mental health disorders, the
interaction dynamics of which are not well understood but have crucial
implications for interventions.
This study is limited by the sample size available for analysis
from the CAMH Monitor 2008 and 2009. Despite using two waves of a fairly
large survey that provided a sample of 858 men and 1,070 women, we were
not able to acquire a significant result for odds ratios below 3.0.
Additionally, because of the small sample size, estimates of NMPOU when
stratified by predictors were unstable (defined as having a coefficient
of variation equal to or greater than 33.3). Unstable estimates were
also a problem when stratifying by various variables the use of POs for
intoxication purposes. Our finding that NMPOU in Ontario was 2.0% (2.4%
of men and 1.6% of women) suggests that either a study investigating a
specific population with a higher prevalence of NMPOU or a study with a
larger sample size should be undertaken to investigate some of the
weaker associations between NMPOU and predictors such as region and
income. Despite the limitation of sample size, we were able to obtain
significant associations that have been observed previously in other
studies. (25-28)
Obtaining population estimates of NMPOU by means of telephone
surveys will lead, in most cases, to an undercoverage of NMPOU. (12,14)
Undercoverage of NMPOU cannot be ignored since accurate prevalence
estimates of NMPOU in populations are necessary for interventions to be
effectively targeted at this growing epidemic. (2) In the future,
alternative survey designs, such as personal interviews and better
measures of NMPOU, are imperative. Despite these limitations and the
risk of underestimation, NMPOU was found to be relatively prevalent in
Ontario, with approximately 1 in 30 adults (380,000) engaging in NMPOU
in the previous 12 months.
NMPOU is a rising epidemic in Canada and abroad. Our study suggests
that all types of PO use, including non-medical uses, are similarly
prevalent across socio-demographic strata in Ontario. New prevention
strategies and health policies for NMPOU that address all
socio-demographic groups will have to be implemented. Clearly, focusing
on street drug users and their PO use and NMPOU will no longer be
sufficient. (34)
Conflict of Interest: None to declare.
Received: September 4, 2010
Accepted: May 23, 2011
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Kevin D. Shield, MHSc, [1,2] Anca Ialomiteanu, MSc, [1] Benedikt
Fischer, PhD, [1,3,4] Robert E. Mann, PhD, [1,4] Jurgen Rehm, PhD
[1,2,4-6]
Author Affiliations
[1.] Centre for Addiction and Mental Health (CAMH), Toronto, ON
[2.] Institute of Medical Science, University of Toronto, Toronto,
ON
[3.] Centre for Applied Research in Mental Health and Addictions,
Simon Fraser University, Faculty of Health Sciences, Vancouver, BC
[4.] Dalla Lana School of Public Health, University of Toronto,
Toronto, ON
[5.] Department of Psychology, University of Toronto, Toronto, ON
[6.] Institute for Clinical Psychology and Psychotherapy,
Technische Universitat Dresden, Dresden, Germany
Correspondence: Kevin D. Shield, Centre for Addiction and Mental
Health, 33 Russell Street, Toronto, ON M5S 2S1, Tel: 647-204-7323, Fax:
416-260-4146, E-mail: kevin.shield@utoronto.ca
Sources of Funding: Drs. Fischer and Rehm acknowledge funding
support from a CIHR Team Grant (#SAF195814) as well as from the Ontario
Ministry of Health and Long-Term Care. Dr. Fischer acknowledges support
from a CIHR/PHAC Research Chair in Applied Public Health (#CPP85657),
and from a Michael Smith Foundation for Health Research (MSFHR) Senior
Scholar Award.
Table 1. Percentage Reporting Use of Prescription Opioid Pain Relievers
During the Previous 12 months, Ontarians, Aged 18+, CAMH Monitor,
2008-2009
N Any Use of PO
Total Sample 2030 21.3
(19.1, 23.4)
Gender NS
Men 896 19.9
(16.9, 22.9)
Women 1134 22.7
(19.6, 25.9)
Age (years) NS
18-29 189 18.4
(12.1, 24.7)
30-54 932 21.1
(18.1, 24.1)
55+ 844 24.2
(20.8, 27.6)
Region NS
Toronto 317 20.9
(15.8, 26.0)
Rest of Ontario 1713 21.3
(19.0, 23.7)
Income NS
<$30,000 250 23.2
(17.0, 29.3)
$30,000-$79,999 644 23.1
(19.2, 26.8)
$80,000+ 619 19.6
(16.1, 23.2)
Not stated 517 20.8
(16.2, 25.4)
Daily cigarette smoking NS
Yes 399 24.4
(18.9, 29.6)
No 1627 20.6
(18.8, 29.6)
Weekly binge drinking NS
Yes 133 19.7
(11.9, 27.5)
No 1883 21.4
(19.2, 23.7)
Cannabis use NS
Yes 206 24.2
(17.1, 31.3)
No 1810 20.8
(18.6, 23.0)
Psychological distress ***
(GHQ 3+)
Yes 284 37.3
(30.0, 44.6)
No 1743 18.8
(16.7, 21.0)
Any Non-medical Used PO to
Use of PO Get High
Total Sample 2.0 0.5
(1.2, 2.8) (0.0, 1.0)
Gender NS NS
Men 2.4 0.8 ([dagger])
(1.0, 3.7) (0.0, 1.7)
Women 1.6 0.2 ([dagger])
(0.8, 2.5) (0.0, 0.5)
Age (years) NS
18-29 3.5 1.81
(0.4, 6.6) (0.0, 4.4)
30-54 2.1 0.11
(1.1, 3.2) (0.0, 0.3)
55+ 1.0 0.31
(0.3, 1.7) (0.0, 0.6)
Region NS NS
Toronto 1.9 0.2 ([dagger])
(0.2, 3.7) (0.0, 0.4)
Rest of Ontario 2.0 0.6 ([dagger])
(1.1, 2.9) (0.0, 1.0)
Income NS NS
<$30,000 1.71 0.31
(0.0, 3.5) (0.0, 1.0)
$30,000-$79,999 2.51 0.2 ([dagger])
(1.1, 3.9) (0.0, 0.3)
$80,000+ 1.71 0.31
(0.6, 2.8) (0.0, 0.5)
Not stated 1.91 1.11
(0.0, 3.9) (0.0, 2.1)
Daily cigarette smoking NS **
Yes 4.0 ([dagger]) 1.71
(1.0, 7.0) (0.0, 4.1)
No 1.51 0.2 ([dagger])
(0.9, 7.0) (0.0, 0.4)
Weekly binge drinking NS NS
Yes 4.0 ([dagger]) 1.41
(0.6, 7.4) (0.0, 3.5)
No 1.91 0.4 ([dagger])
(1.0, 2.7) (0.0, 0.9)
Cannabis use *** ***
Yes 6.31 2.71
(2.0, 10.7) (0.0, 6.2)
No 1.01 0.11
(0.2, 1.8) (0.0, 0.3)
Psychological distress *** ***
(GHQ 3+)
Yes 7.51 2.41
(3.1, 11.9) (0.0, 5.8)
No 1.21 0.2 ([dagger])
(0.6, 1.7) (0.0, 0.4)
Notes: * p<0.05; ** p<0.01; *** p<0.001; CI = 95% confidence interval;
NS - no significant difference; ([dagger]) Estimate unstable (interpret
with caution) or suppressed due to high sampling variability.
Definitions: "Any use of pain relievers" defined as reporting any use
in the previous 12 months; "Any non-medical use of pain relievers"
defined as reporting use "to get high", obtained "from a prescription
written for someone else" or bought from someone else or obtained
"from any other source"; "Used pain relievers to get high" defined as
reporting use to get high in the previous 12 months.
Table 2. Percentage Reporting Any Non-medical Use of Prescription
Opioid Pain Relievers During the Previous 12 Months by Gender,
Ontarians, Aged 18+, CAMH Monitor, 2008-2009
Any Non-medical Use of POs
Men
N %
Total Sample 896 2.4 ([dagger])
(1.0, 3.7)
Age (years) NS
18-29 100 4.9 ([dagger])
(0.0, 10.1)
30-54 420 2.3 ([dagger])
(0.8, 3.9)
55+ 356 0.8 ([dagger])
(0.0, 1.8)
Region NS
Toronto 138 2.5 ([dagger])
(0.0, 5.4)
Rest of Ontario 758 2.3 ([dagger])
(0.8, 3.8)
Income NS
<$30,000 87 1.2 ([dagger])
(0.0, 3.0)
$30,000-$79,999 289 2.4 ([dagger])
(0.4, 4.4)
$80,000+ 329 2.2 ([dagger])
(0.6, 3.9)
Not stated 191 2.9 ([dagger])
(0.0, 6.9)
Cigarette smoking **
Yes 206 6.5 ([dagger])
(1.6, 11.3)
No 690 1.2 ([dagger])
(0.3, 2.1)
Weekly binge drinking NS
Yes 106 4.2 ([dagger])
(0.3, 8.1)
No 781 2.1 ([dagger])
(0.7, 3.5)
Cannabis use ***
Yes 135 8.3 ([dagger])
(2.3, 14.4)
No 755 1.0 ([dagger])
(0.2, 1.8)
Psychological distress (GHQ 3+) ***
Yes 106 14.0 ([dagger])
(4.1, 23.9)
No 789 1.0 ([dagger])
(0.3, 1.7)
Any Non-medical Use of POs
Women
N %
Total Sample 1134 1.6 ([dagger])
(0.8, 2.5)
Age (years) NS
18-29 89 1.9 ([dagger])
(0.0, 4.6)
30-54 512 1.9 ([dagger])
(0.5, 3.3)
55+ 488 1.2 ([dagger])
(0.2, 2.1)
Region NS
Toronto 179 1.4 ([dagger])
(0.0, 3.4)
Rest of Ontario 955 1.7 ([dagger])
(0.7, 2.7)
Income NS
<$30,000 163 2.0 ([dagger])
(0.0, 5.0)
$30,000-$79,999 355 2.6 ([dagger])
(0.6, 4.5)
$80,000+ 290 1.1 ([dagger])
(0.0, 2.3)
Not stated 326 1.2 ([dagger])
(0.0, 2.6)
Cigarette smoking NS
Yes 194 1.9 ([dagger])
(0.9, 2.9)
No 937 0.3 ([dagger])
(0.0, 1.0)
Weekly binge drinking NS
Yes 27 3.1 ([dagger])
(0.0, 9.3)
No 1102 1.6 ([dagger])
(0.7, 2.5)
Cannabis use NS
Yes 71 1.9 ([dagger])
(0.0, 2.5)
No 1055 1.6 ([dagger])
(0.7, 2.5)
Psychological distress (GHQ 3+) NS
Yes 178 3.2 ([dagger])
(0.7, 5.8)
No 954 1.3 ([dagger])
(0.4, 2.3)
Notes: * p<0.05; ** p<0.01; *** p<0.001; CI = 95% confidence interval;
NS - no significant difference; ([dagger]) Estimate unstable (interpret
with caution) or suppressed due to high sampling variability.
Definitions: "Any use of pain relievers" defined as reporting any use
in the previous 12 months; Any non-medical use of pain relievers
defined as reporting use "to get high", obtained "from a prescription
written for someone else" or "bought from someone else" or obtained
"from any other source"; "Used pain relievers to get high" defined as
reporting use to get high in the previous 12 months.
Table 3. Logistic Regression Models Predicting Non-Medical Use of
Prescription Opioid Pain Relievers During the Previous 12 Months,
Ontarians, Aged 18+, CAMH Monitor, 2008-2009
Non-medical Prescription Opioid
Use ([dagger])
Men (N=858)
Step 1
OR (95% CI)
Age (ref. = 55+)
18-29 6.65 (1.55, 28.50)
30-54 3.68 (1.01, 13.47)
Toronto 1.06 (0.30, 3.75)
(ref. = Rest of Ontario)
Income ([double dagger])
(ref. = <$30,000)
$30,000-79,999 1.08 (0.22, 5.30)
$80,000+ 0.79 (0.16, 3.94)
Not stated 0.37 (0.05, 2.74)
Cigarette smoking
(ref. = no)
Weekly binge drinking
(ref. = no)
Cannabis use (ref. = no)
Psychological distress
(ref. = no)
Odds of non-medical 0.01 **
prescription opioid use
for an individual who is
in all reference
categories
Hosmer & Lemeshow test 19.39, p=0.02
Non-medical Prescription Opioid
Use ([dagger])
Men (N=858)
Step 2
OR (95% CI)
Age (ref. = 55+)
18-29 3.27 (1.27, 16.58)
30-54 2.49 (0.64, 9.74)
Toronto 1.18 (0.30, 4.65)
(ref. = Rest of Ontario)
Income ([double dagger])
(ref. = <$30,000)
$30,000-79,999 2.12 (0.36, 12.34)
$80,000+ 1.51 (0.27, 8.61)
Not stated 0.57 (0.07, 4.77)
Cigarette smoking 2.29 (0.83, 6.32)
(ref. = no)
Weekly binge drinking 0.88 (0.42, 4.13)
(ref. = no)
Cannabis use (ref. = no) 4.64 (1.60, 13.48)
Psychological distress 7.55 (2.87, 19.88)
(ref. = no)
Odds of non-medical 0.00 ***
prescription opioid use
for an individual who is
in all reference
categories
Hosmer & Lemeshow test 17.2, p=0.51
Non-medical Prescription Opioid
Use ([dagger])
Women (N=1070)
Step 1
OR (95% CI)
Age (ref. = 55+)
18-29 1.61 (0.32, 8.10)
30-54 1.44 (0.53, 3.96)
Toronto 1.03 (0.30, 3.60)
(ref. = Rest of Ontario)
Income ([double dagger])
(ref. = <$30,000)
$30,000-79,999 1.14 (0.29, 4.43)
$80,000+ 0.63 (0.13, 3.00)
Not stated 0.69 (0.15, 3.14)
Cigarette smoking
(ref. = no)
Weekly binge drinking
(ref. = no)
Cannabis use (ref. = no)
Psychological distress
(ref. = no)
Odds of non-medical 0.02 ***
prescription opioid use
for an individual who is
in all reference
categories
Hosmer & Lemeshow test 18.6, p=0.69
Non-medical Prescription Opioid
Use ([dagger])
Women (N=1070)
Step 2
OR (95% CI)
Age (ref. = 55+)
18-29 1.85 (0.35, 9.73)
30-54 1.38 (0.49, 3.91)
Toronto 1.17 (0.33, 4.15)
(ref. = Rest of Ontario)
Income ([double dagger])
(ref. = <$30,000)
$30,000-79,999 1.06 (0.27, 4.19)
$80,000+ 0.69 (0.14, 3.41)
Not stated 0.71 (0.15, 3.31)
Cigarette smoking 0.18 (0.02, 1.45)
(ref. = no)
Weekly binge drinking 3.62 (0.41, 31.78)
(ref. = no)
Cannabis use (ref. = no) 0.52 (0.06, 4.32)
Psychological distress 4.21 (1.61, 11.00)
(ref. = no)
Odds of non-medical 0.01 ***
prescription opioid use
for an individual who is
in all reference
categories
Hosmer & Lemeshow test 18.1, p=0.07
* p<0.05; ** p<0.01; *** p<0.001; CI = 95% confidence interval;
([dagger]) at least once in the previous 12 months;
([double dagger]) Canadian dollars; ref. = reference category.