| Literature DB >> 34154564 |
Scott T Leatherdale1, Richard E Bélanger2,3, Rabi Joël Gansaonré2, Karen A Patte4, Margaret deGroh5, Ying Jiang5, Slim Haddad2,6.
Abstract
BACKGROUND: Given the high rates of cannabis use among Canadian youth and that adolescence is a critical period for cannabis use trajectories, the purpose of this paper was to examine the effect of the early stages of the COVID-19 pandemic period on youth cannabis use in the context of a natural experiment. We used 3-year linked data from the COMPASS study, including 7653 Canadian (Quebec, Ontario) adolescents from which 1937 completed all 3 survey waves (pre-COVID-19 [2018, 2019] and online [2020] during the early pandemic period [May-July 2020]). Structural equation modeling (SEM) and double difference (DD) models were used to estimate pre-COVID-19 to initial COVID-19 pandemic period change (2019-2020) in cannabis use (monthly, weekly, daily) compared to 2018 to 2019 change to adjust for age-related effects. Models were adjusted for age of entry into the cohort and sociodemographic characteristics.Entities:
Keywords: Adolescents; COVID-19; Cannabis; Cohort; Pandemic; Prospective; Youth
Mesh:
Year: 2021 PMID: 34154564 PMCID: PMC8215868 DOI: 10.1186/s12889-021-11241-6
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Observed and adjusted cannabis use means, discrete change of cannabis use indicators over survey waves, and estimated causal effect of COVID-19 on cannabis use by difference-in-difference among eligible students attending the 43 linked-longitudinal COMPASS schools across the three study waves (2018, 2019, 2020)
| Cannabis Use | ||||||||
|---|---|---|---|---|---|---|---|---|
| Wave | N | Observed | Adjusted Estimatea | Observed | Adjusted Estimatea | Observed | Adjusted Estimatea | |
| 2018 | 7567 | 5.7 (0.2) | 5.7 (4.9, 6.5) | 2.4 (0.2) | 2.4 (1.8, 3.0) | 0.6 (0.1) | 0.6 (0.3, 0.9) | |
| 2019 | 7548 | 12.1 (0.3) | 12.0 (11.0, 12.9) | 6.1 (0.2) | 6.4 (5.2, 7.6) | 1.5 (0.1) | 1.4 (1.1, 1.7) | |
| 2020 | 1937 | 7.5 (0.3) | 12.6 (10.7, 14.4) | 3.9 (0.2) | 7.4 (5.7, 9.2) | 0.8 (0.1) | 1.9 (1.4, 2.5) | |
| 2019–2018 (pre-COVID-19 period) | 6.3 (5.2, 7.4) | 4.0 (2.5, 5.4) | 0.8 (0.4, 1.2) | |||||
| 2020–2019 (early COVID-19 period) | 0.6 (−1.2, 2.3) | 1.0 (− 1.5, 3.5) | 0.5 (− 0.1, 1.0) | |||||
| (2020-2019) - (2019-2018) | − 5.7 (− 8.0, − 3.4) | −3.0 (− 6.7, 0.8) | − 0.3 (− 1.1, 0.4) | |||||
Notes: 95% CI (confidence interval)
a Fixed effect model with a lagged variable as the outcome, controlling for time-invariant confounders but constraining sex and age effects on the outcome to be fixed across time, and sample selection correction with the predictors of age, sex, weekly spending money, school connectedness, and province.
b based on adjusted estimates.
Average discrete change of cannabis use indicators over survey waves, and estimated causal effect of COVID-19 on cannabis use by difference-in-difference, stratified by sex, among eligible students attending the 43 linked-longitudinal COMPASS schools across the three study waves (2018, 2019, 2020)
| Cannabis Use | |||||||
|---|---|---|---|---|---|---|---|
| Difference Mean (95% CI) | Difference Mean (95% CI) | Difference Mean (95% CI) | |||||
| Female | Male | Female | Male | Female | Male | ||
| 2019–2018 (pre-COVID-19 period) | 5.0 (0.4, 0.6) | 7.9 (6.4,9.4) | 2.9 (1.2, 4.5) | 5.2 (3.7, 6.8) | 0.5 (0.1, 1.0) | 1.2 (0.5, 1.8) | |
| 2020–2019 (early COVID-19 period) | 0.2 (−0.3, 0.3) | 1.1 (− 0.9, 3.0) | 0.9 (−1.7, 3.5) | 1.1 (− 1.9, 4.1) | 1.3 (0.5, 2.0) | − 0.4 (−1.4, 0.5) | |
| Female | Male | Female | Male | Female | Male | ||
| (2020-2019) – (2019-2018) | −4.8 (−8.2, −1.4) | −6.8 (− 9.7, −3.9) | −2.0 (−5.9, 2.0) | −4.1 (− 8.2, −0.1) | 0.8 (−0.2, 1.7) | −1.6 (− 2.9, − 0.3) | |
Notes: 95% CI (confidence interval)
a Fixed effect model with a lagged variable as the outcome, controlling for time-invariant confounders but constraining sex and age effects on the outcome to be fixed across time, and sample selection correction with the predictors of age, weekly spending money, school connectedness, and province.
b based on adjusted estimates.
Fig. 1Average adjusted predictions of monthly cannabis use over survey waves, stratified by sex and age (at entry into cohort in 2018), among eligible students attending the 43 linked-longitudinal COMPASS schools across the three study waves (2018, 2019, 2020)
Fig. 2Average adjusted predictions of weekly cannabis use over survey waves, stratified by sex and age (at entry into cohort in 2018), among eligible students attending the 43 linked-longitudinal COMPASS schools across the three study waves (2018, 2019, 2020)
Fig. 3Average adjusted predictions of daily cannabis use over survey waves, stratified by sex and age (at entry into cohort in 2018), among eligible students attending the 43 linked-longitudinal COMPASS schools across the three study waves (2018, 2019, 2020)