Vaporizing cannabis through e-cigarettes: prevalence and socio-demographic correlates among Ontario high school students.
Mammen, George ; Rehm, Jurgen ; Rueda, Sergio 等
Vaporizing cannabis through e-cigarettes: prevalence and socio-demographic correlates among Ontario high school students.
Dear Editor:
Among adolescents, Canadians lead the world in past-year cannabis
use (28%). (1) The prevalence is expected to rise once the federal
government legalizes recreational cannabis in 2017. (2) Identified as a
public health concern, cannabis use in this population can impede
cognitive and emotional brain development (3) and increase the risks of
mental disorder development (e.g., social anxiety, schizophrenia) (4)
and road traffic injury. (5) One often-ignored factor influencing
cannabis use, however, relates to the method of consumption.
Vaporizing cannabis is a growing delivery method (6) and warrants
attention for two key reasons: 1) adolescents perceive vaporizing
cannabis as harmless and medicinal while overlooking its negative impact
on the developing brain; (7) 2) adolescents may be more inclined to use
vaporizers because many of these are designed to be portable, discreet
and to produce minimal odour. Vaporizers are also available across
Canada for purchase without age restrictions.
For these reasons and with cannabis legalization on the horizon, it
is timely and critical to monitor trends regarding vaporized cannabis.
This is the first study in Canada to examine the prevalence of vaporizer
use for cannabis among adolescents. Further explored are the
socio-demographic correlates of these users, which can be used as user
characteristics to help tailor policies and interventions surrounding
cannabis use prevention and reduction within this at-risk population.
METHODS
This study used data from the Ontario Student Drug Use and Health
Survey (OSDUHS; 60% response rate), which is the longest ongoing
population-representative health survey in Canada of adolescents'
overall health and health risk behaviours (e.g., alcohol, tobacco) and
is led by the Centre for Addiction and Mental Health in Toronto. Further
details of this representative survey can be found elsewhere. (8)
In 2015, data on vaporizer use for cannabis were collected for the
first time. Students in grades 9-12 (ages 15-18) were asked if they used
e-cigarettes in the previous 12 months for marijuana, hash oil, liquid,
or wax. This study presents vaporizer use data from a random half sample
(split form) of 3,171 high school students, in addition to data on
socio-demographic correlates, including sex, age, race, immigrant, and
socio-economic status.
Analyses were based on a complex sample design with 21 strata
(region by school level) and 220 primary sampling units (schools).
Selection weights were applied to account for varying sampling
probabilities and restore the sample to the corresponding population
distribution. Descriptive, univariate, and multivariate analyses were
conducted using STATA 14.
RESULTS AND DISCUSSION
The prevalence of high school students vaporizing cannabis through
e-cigarettes in the previous year was 8% (n = 257; Table 1). This is a
higher rate compared to the only other study examining adolescent
vaporizer use internationally (5.4% among 3,245 Connecticut, US
adolescents). (9) However, the current study still likely underestimates
usage levels since the measure was specific to e-cigarettes. Though
e-cigarettes are common devices, the range of vaporizers on the market
is widening (e.g., portable, non-portable). Hence, to better monitor the
prevalence of vaporized cannabis use in adolescents, future assessments
should account for all vaporizer designs.
In terms of demographics, the significant multivariate correlates
of having used e-cigarettes to vaporize cannabis in the previous year
were: age (older, OR = 1.36), gender (male, OR = 2.21), immigrant status
(Canadian-born, OR = 3.15), and father's education (high school, OR
= 1.57). Practitioners and policy- makers working to curb cannabis use
in Canada can use this knowledge to tailor reduction/prevention
strategies that are age-, gender-, culture- and
socio-economic-status-specific.
The study's cross-sectional design and self-reported data are
study limitations since causal inferences cannot be made. Study
strengths include a large representative, population-based sample of
Ontario students and novel findings on vaporizer use in the context of a
rapidly evolving legislative landscape regarding cannabis control. This
study can set the stage to monitor future use of vaporized cannabis
while user characteristics can inform the development of practice
guidelines and policies to limit this trend in adolescents.
George Mammen, PhD, Jurgen Rehm, PhD, Sergio Rueda, PhD
Centre for Addiction and Mental Health, Institute for Mental Health
Policy
Research, Toronto, ON
doi: 10.17269/CJPH.107.5747
REFERENCES
(1.) UNICEF Office of Research. Child Well-Being in Rich Countries:
A Comparative Overview (Innocenti Report Card 11). Florence, Italy:
UNICEF Office of Research, 2013.
(2.) Hopfer C. Implications of marijuana legalization for
adolescent substance use. Subst Abuse 2014;35(4):331-35. doi:
10.1080/08897077. 2014.943386.
(3.) Volkow ND, Swanson JM, Evins AE, DeLisi LE, Meier MH, Gonzalez
R, et al. Effects of cannabis use on human behavior, including
cognition, motivation, and psychosis: A review. JAMA Psychiatry
2016;73(3):292-97. PMID: 26842658. doi:
10.1001/jamapsychiatry.2015.3278.
(4.) Paruk S, Burns JK. Cannabis and mental illness in adolescents:
A review. S Afr Fam Pract 2015;11:1-4.
(5.) Imtiaz S, Shield KD, Roerecke M, Cheng J, Popova S, Kurdyak P,
et al. The burden of disease attributable to cannabis use in Canada in
2012. Addiction 2016;111(4):653-62. PMID: 26598973. doi:
10.1111/add.13237.
(6.) Budney AJ, Sargent JD, Lee DC. Vaping cannabis (marijuana):
Parallel concerns to e-cigs? Addiction 2015;110(11):1699-704. PMID:
26264448. doi: 10.1111/add.v110.11.
(7.) Roditis ML, Halpern-Felsher B. Adolescents' perceptions
of risks and benefits of conventional cigarettes, e-cigarettes, and
marijuana: A qualitative analysis. J Adolesc Health 2015;57(2):179-85.
PMID: 26115908. doi: 10.1016/j. jadohealth.2015.04.002.
(8.) Boak A, Hamilton HA, Adlaf EM, Mann RE. Drug Use Among Ontario
Students, 1977-2015: Detailed OSDUHS Findings (CAMH Research Document
Series No. 41). Toronto, ON: Centre for Addiction and Mental Health,
2013.
(9.) Morean ME, Kong G, Camenga DR, Cavallo DA, Krishnan-Sarin S.
High school students' use of electronic cigarettes to vaporize
cannabis. Pediatrics 2015;136(4):611-16. PMID: 26347431. doi:
10.1542/peds.2015-1727.
Table 1. Prevalence and socio-demographic correlates of vaporizing
cannabis through e-cigarettes among Ontario high school students: Data
from the 2015 Ontario Student Drug Use and Health Survey
Yes vaporize
(8.2%;n = 257)
Age [M = 15.97, SD = 1.30] M = 16.30, SD = 1.11
Gender
Female [47.9%] 6.0%
Male [52.1%] 9.6%
Background
Non-white [34.1%] 6.3%
White [65.9%] 8.3%
Parent origins
Both parents born in Canada [48.9%] 8.7%
One parent born in Canada [14.3%] 7.4%
Neither parent born in Canada [36.8%] 6.3%
Immigrant status
Canadian born [80.9%] 4.2%
Immigrant [19.1%] 8.3%
Mother's education
No high school [35.8%] 11.3%
High school [19.0%] 9.8%
College/university [45.2%] 6.0%
Father's education
No high school [31.4%] 8.4%
High school [26.3%] 11.1%
College/university [42.3%] 5.0%
SES (score 1-10) [M = 6.95, SD = 1.54] M = 6.87, SD = 0.11
No vaporize
(91.8%;n = 2889)
Age [M = 15.97, SD = 1.30] M = 15.66, SD = 1.27
Gender
Female [47.9%] 94.0%
Male [52.1%] 90.4%
Background
Non-white [34.1%] 93.7%
White [65.9%] 91.7%
Parent origins
Both parents born in Canada [48.9%] 91.3%
One parent born in Canada [14.3%] 92.6%
Neither parent born in Canada [36.8%] 93.7%
Immigrant status
Canadian born [80.9%] 95.8%
Immigrant [19.1%] 91.7%
Mother's education
No high school [35.8%] 88.7%
High school [19.0%] 90.2%
College/university [45.2%] 94.0%
Father's education
No high school [31.4%] 91.6%
High school [26.3%] 88.9%
College/university [42.3%] 95.0%
SES (score 1-10) [M = 6.95, SD = 1.54] M = 7.00, SD = 0.03
Unadjusted OR
(95% CI)
Age [M = 15.97, SD = 1.30] 1.38 * (1.20-1.58)
Gender
Female [47.9%] Reference
Male [52.1%] 1.94 * (1.34-2.80)
Background
Non-white [34.1%] Reference
White [65.9%] 1.16 (0.78-1.74)
Parent origins
Both parents born in Canada [48.9%] 1.36 (0.90-2.06)
One parent born in Canada [14.3%] 1.31 (0.71 -2.42)
Neither parent born in Canada [36.8%]
Immigrant status
Canadian born [80.9%] Reference
Immigrant [19.1%] 2.77 * (1.58-4.84)
Mother's education
No high school [35.8%] Reference
High school [19.0%] 0.73 (0.43-1.22)
College/university [45.2%] 0.51 * (0.33-0.80)
Father's education
No high school [31.4%] Reference
High school [26.3%] 1.55 (0.95-2.52)
College/university [42.3%] 0.71 (0.43-1.18)
SES (score 1-10) [M = 6.95, SD = 1.54] 0.97 (0.86-1.10)
Adjusted OR
(95% CI), n = 2495
Age [M = 15.97, SD = 1.30] 1.36 * (1.16-1.58)
Gender
Female [47.9%] 2.21 * (1.46-3.35)
Male [52.1%]
Background
Non-white [34.1%]
White [65.9%]
Parent origins
Both parents born in Canada [48.9%]
One parent born in Canada [14.3%]
Neither parent born in Canada [36.8%]
Immigrant status
Canadian born [80.9%] 3.03 * (1.50-6.14)
Immigrant [19.1%]
Mother's education
No high school [35.8%]
High school [19.0%]
College/university [45.2%]
Father's education
No high school [31.4%] 1.57 * (1.01-2.46)
High school [26.3%]
College/university [42.3%]
SES (score 1-10) [M = 6.95, SD = 1.54]
* p < 0.05.
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