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Electronic Cigarette Use and Academic Performance Among Adolescents and Young Adults: A Scoping Review
Jacqueline A Augenstein1, Arlene M Smaldone2, John Usseglio3
1Columbia University School of Nursing (JA Augenstein, AM Smaldone, J-M Bruzzese), New York, NY,.
Background:
There are documented links between substance use and poor educational outcomes. However, less is known about electronic cigarette (e-cigarette) use in relation to academics. Therefore, this scoping review aimed to synthesize associations between e-cigarette use and academic performance among adolescents and young adults.
Methods:
Seven electronic databases were searched. Original research articles were included if associations between e-cigarette use and academic performance among adolescents and young adults aged 11 to 25 years were examined. Extracted data included study and participant descriptors, measures of e-cigarette use and academic performance, key findings, and study limitations. Measures of academic performance were grouped as academic achievement, academic behaviors, or cognitive attitudes.
Results:
Thirty-three studies met inclusion criteria. Most were cross-sectional (n = 28). Significant associations to e-cigarette use were identified across all categories: academic achievement (ie, school grades (n = 24)), academic behaviors (ie, school difficulties (n = 1), time spent on homework (n = 1), school suspension (n = 1), and truancy (n = 3)), and cognitive attitudes (ie, school stress (n = 1), school alienation (n = 1), and school engagement (n = 2)). Longitudinal associations were also identified in 5 prospective cohort studies: among adolescents, poor academic grades (n = 4), and truancy (n = 1) predicted future e-cigarette use, and e-cigarette use predicted future lower school grades (n = 1).
Conclusions:
E-cigarette use during adolescence and young adulthood is associated with poor academic achievement. There is some evidence that academic achievement may predict future e-cigarette use; less evidence supports the opposite direction. Study designs are needed to support a causal connection. Investigators should consider moving from studying associations and instead look for causal evidence.
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