Background
Substance use among youth aged 10–24 years is a global health priority [
1]. Substance use typically emerges and peaks during this developmental period [
1,
2] and can have lifelong impacts on a young person, including social and economic harms, poor physical and mental health, and a higher risk for developing substance use disorders [
3]. Typically, efforts to reduce youth substance use focus on addressing widely known risk and protective factors through prevention and early intervention [
4]. These factors can predict an increased likelihood of substance use (risk factors) or a lower likelihood of substance use by promoting or protecting exposure to the risk factors (protective factors) [
5]. Risk and protective factors can be fixed (e.g., gender, race/ethnicity), contextual (e.g., social norms, substance availability), or individual and interpersonal (e.g., mental health, employment, family relations) [
5,
6].
Given the importance of these risk and protective factors, concerns about youth substance use have risen since the declaration of the global COVID-19 pandemic in March 2020 [
7‐
10]. The pandemic’s public health measures (e.g., stay-at-home orders, physical distancing) have dramatically impacted the risk and protective factors. For instance, many youth have experienced substantial increases in household stress and family conflict and reduced opportunities for employment and academic, recreational, and social connections [
11,
12]. The pandemic has also been associated with an increased prevalence of mental health disorders and symptoms among youth (e.g., distress, depression, anxiety) [
7,
12,
13], which have been linked to changes in risk and protective factors [
12] and can increase risk for substance use [
5]. However, the immediate impacts of the pandemic on youth substance use, as speculated [
8,
10], has been less clear [
9].
A recent systematic review of 49 studies examining the prevalence of alcohol, cannabis, tobacco, e-cigarettes/vaping, and drug use among youth during the COVID-19 pandemic found mixed results [
9]. For example, among the 32 studies investigating alcohol use, five studies reported an increase, 12 reported a decrease, four reported no change and 11 reported neither an increase or decrease [
9]. A similar mix of results was reported for the other substance types. While the review generally concluded that substance use declined among youth during the pandemic, differences between the original study’s designs and their findings make it difficult to draw such conclusions. In particular, the original studies measured different types of substances (tobacco, alcohol, cannabis, other drugs), a combination of substances, or did not specify substance type. Substance use outcomes were also measured for observation periods (i.e., early in the pandemic, during specific lockdown measures) that preclude understanding of temporal trends of substance use throughout the pandemic. Lastly, several studies measured substance use outcomes for reference periods (i.e., past year use, past 3-month use) that may introduce measurement error due to temporal ambiguity regarding the pandemic (exposure) and substance use (outcome).
Crucially, few existing studies systematically integrated known risk and protective factors into their designs [
14‐
16], despite their established effects on youth substance use and the pandemic’s impact on these factors. One early pandemic study found that adolescents’ alcohol and cannabis use increased, with peer-reputation concerns being significant predictors of their social contexts for substance use (i.e., alone, with friends via technology) [
16]. Additionally, a study by Romm et al., [
15] found adverse childhood events, depression scores, and job losses during the pandemic predicted increases in substance use among young adults, with resilience being a significant moderator of their effects. Such studies are critical to understanding the pandemic’s full effects on youth substance use, identifying youth who may need substance use interventions, and informing ongoing intervention efforts.
Accordingly, the present study was designed to address some of the limitations of those prior studies by analyzing monthly changes to alcohol or drug use over a 4-year observation period and by systematically incorporating risk and protective factors to the study design. The primary objective of this study was to determine how the COVID-19 pandemic impacted past month alcohol or drug use and the risk and protective factors for alcohol or drug use among youth seeking integrated health and social services. We hypothesized that the pandemic increased the prevalence of alcohol or drug use in this sample, negatively affected risk and protective factors and modified their effect on alcohol or drug use. The results of this study provide more comprehensive evidence on the pandemic’s impact on alcohol or drug use among youth seeking healthcare services. These findings are timely as countries emerge from the pandemic and need to plan, design, and implement interventions for youth substance use.
Discussion
In this repeated monthly cross-sectional study of youth accessing a network of IYS, we observed a significant increase in youths’ alcohol or drug use immediately after the COVID-19 pandemic was declared in March 2020, with substance use returning to pre-pandemic trends in the months thereafter. Despite significant changes in youths’ risk/protective factors for substance use during the pandemic, their effects remained relatively consistent across the pre- and pandemic-periods. These findings contribute original evidence regarding the full effects of the pandemic on youth substance use and its risk/protective factors and inform future research, interventions, and policy.
To date, research regarding the impacts of the pandemic on youth substance use has been quite inconsistent, including among studies that have used designs and combined measures of alcohol or drug use (e.g., cannabis, illicit drugs, non-prescribed use of prescription drugs, etc) similar to our study [
9]. For instance, one cross-sectional study measuring alcohol, cannabis, or drug use, reported an increase in alcohol and non-specified drug use during the pandemic [
23], while another reported less alcohol, cannabis and other drug use [
24]. To our knowledge, two other studies [
25,
26] have used the same validated outcome measure (i.e., GAIN-SS for past 30 days) as in our study. The first of these was conducted approximately 3 weeks after the pandemic was declared and reported a decrease in substance use behaviours [
25]. The second study examined trajectories of substance use from April to October 2020 and reported relatively stable substance use behaviours across groups with low, moderate, or high levels of alcohol or drug use service need [
26]. In contrast, our study indicates that the pandemic had an immediate effect on substance use behaviours and was associated with a two-fold increase in moderate/high likelihood of alcohol or drug use service need. These discrepancies may be due to differences in the study’s observation periods and related exposure definitions (e.g., early in pandemic, later in pandemic, etc). Therefore, a key strength of our study was the use of monthly time series data. This allowed comparison of monthly changes in substance use for the 22-month pre-pandemic and 24-month pandemic periods; thereby providing a longer and more balanced observation period to examine these impacts.
Our study also provides further insight into the risk and protective factors that were associated with the greatest need for alcohol or drug use services. For the overall study sample, our study determined significant independent associations for risk/protective factors, including being able to talk to a family member about problems, seeing or witnessing violence, engagement in meaningful activities, and self-rated physical and mental health. These findings are consistent with longstanding evidence regarding the crucial role that such individual and interpersonal factors have on youths’ substance use patterns [
5]. For example, it is widely recognized that family connection is a protective factor, with prior research showing family support can reduce the risk of substance use disorders by approximately 50% [
27]. Conversely, adverse childhood experiences, such as parental emotional or physical abuse, are known risk factors for substance use among youth and adult populations [
5,
28,
29]. In our study, being able to talk to a family member sometimes and seeing or witnessing violence were two conceptually related interpersonal factors that were not collinear. This suggests that such interpersonal factors can have differential effects on the likelihood of substance use service need (i.e., the presence of one experience does not guarantee the absence of another) and demonstrates the complexity of their effects on youth substance use and the benefit of conducting research into their causal pathways.
Accordingly, another important contribution of our research was the stratified regression analyses, which can inform the potential moderating role of the pandemic on the association between the risk and protective factors and likelihood of service need. Our study’s stratified regression analyses determined that the associations of these risk and protective factors and service need were similar in direction between the pre- and pandemic-periods, suggesting homogeneity of effects. Interestingly, the strength of the associations between the risk and protective factors and service need diminished in the pandemic period, possibly due to its lower statistical power. For instance, exposure to violence was positively, though not significantly, associated with alcohol or drug use service need in the pandemic period. While these findings should be considered exploratory, our overall findings and the stratified analyses complement those few studies that have similarly considered risk and protective factors and substance use during the pandemic [
14‐
16].
Building on these studies, our study also identified significant independent associations between self-rated physical health and meaningful activities with substance use service need. Of note, youth engaging in less hours per week of meaningful activities (2–10 hours vs. > 16 hours) had lower odds of moderate/high substance use service need. This unexpected finding held when we checked hours per week of physical exercise, a closely related variable. It is possible that youth using substances were engaging in meaningful activities (e.g., physical exercise) to reduce their substance use, an explanation that is supported by some research among adults accessing treatment for substance use [
30,
31]. Though further research is needed, another explanation is that youth were using substances while engaging in meaningful activities, such as sports and clubs, given evidence that social contexts for substance use changed during the pandemic [
16]. As our cross-sectional data are unable to tease such associations apart, future research should consider repeated measures designs that allow for within-person analyses (e.g., growth curve models) to disentangle the complex relationship between time-varying individual and interpersonal risk/protective factors and substance use service need.
There are considerable health services and policy implications of our research. At a service delivery-level, the strong and consistent associations between the risk/protective factors and alcohol or drug use service need provide compelling evidence to routinely assess these factors over time, particularly as they are sensitive to change. Thus, a direct recommendation from our study is that clinicians working with youth consider how risk/protective factor frameworks [
6,
18] could be systematically integrated into routine visits to identify youth that may benefit from further screening, assessment, harm reduction and/or treatment for substance use. While numerous practice and policy-related barriers would need to be addressed to implement such practices (e.g., clinician training, resources), this would allow earlier identification of substance use [
32].
For policy makers, it is also critical to note that 50% of youth met moderate/high likelihood of past month substance use service need, with the prevalence being significantly impacted by the pandemic. This signals an urgent need for increased population-level approaches, standards, and infrastructure. Indeed, IYS provide one such opportunity and are increasingly recognized as a key innovation towards reducing gaps in youth mental health care. However, substance use is one of five service streams offered within IYS and additional resources are needed to increase the number of trained professionals and the scope of evidence-based substance use services in these settings. Additionally, where IYS are not yet available, increased capacity in existing youth services, including peer support, and expansion of youth-specific substance use services, will be critical to meet current levels of need.
Strengths and limitations
As noted, there are several strengths to our study, including the large PROs data set, use of a validated clinical outcome measure, and four-year observation period. However, there are some important limitations to be considered. First, our data were drawn from a non-random sample of youth who sought or received IYS and voluntarily completed PROs close to the time of their first IYS visit. As a result, the data are not likely representative of the general youth population and data on important confounders (e.g., geographic location, socio-economic status) were not available for this study. Thus, our hypotheses were exploratory and not registered a priori. This limits our ability to draw population-level inferences about the study’s findings and the full scope of policy implications (e.g., primary prevention programs). Additionally, as the pandemic was accompanied by changes in service delivery (e.g., fewer in-person visits), this led to lower rates of PROs completion during the initial months of the pandemic and the unbalanced pre- and pandemic sample sizes. Despite these changes, a sensitivity analysis (Additional file
1, Table 4) confirmed few significant differences between PROs completed early (March – May 2020) and later in the pandemic (March – May 2021). Nevertheless, the slightly higher item non-response during the pandemic period may have resulted in unmeasured confounding that was only partially adjusted for with the missing indicator method [
22].
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