EconPapers    
Economics at your fingertips  
 

The Energy to Smoke: Examining the Longitudinal Association between Beverage Consumption and Smoking and Vaping Behaviours among Youth in the COMPASS Study

Matthew J. Fagan, Katie M. Di Sebastiano, Wei Qian, Scott T. Leatherdale and Guy Faulkner
Additional contact information
Matthew J. Fagan: Population Physical Activity Laboratory, School of Kinesiology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
Katie M. Di Sebastiano: Population Physical Activity Laboratory, School of Kinesiology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
Wei Qian: School of Public Health and Health Systems, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Scott T. Leatherdale: School of Public Health and Health Systems, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Guy Faulkner: Population Physical Activity Laboratory, School of Kinesiology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada

IJERPH, 2021, vol. 18, issue 8, 1-16

Abstract: This study examined the longitudinal association between changes in sugar-sweetened and/or caffeinated beverage consumption and smoking/vaping behaviour among Canadian adolescents. Using longitudinal data from the COMPASS study (2015/16 to 2017/18), four models were developed to investigate whether beverage consumption explained variability in smoking and vaping behaviour in adolescence: (1) smoking initiation, (2) vaping initiation, (3) current smoking status, and (4) current vaping status. Models were adjusted for demographic factors. Multinomial logit models were used for model 1, 2, and 3. A binary logistic regression model was used for model 4. An association between change in frequency of beverage consumption and smoking/vaping behaviour was identified in all models. A one-day increase in beverage consumption was associated with smoking initiation (OR = 1.38, 95% CI: 1.25, 1.51), vaping initiation (OR = 1.23, 95% CI: 1.14, 1.32), identifying as a current smoker (OR = 1.17, 95% CI: 1.01, 1.35), and currently vaping (OR = 1.08, 95% CI: 1.04, 1.11). Change in high-energy drink consumption was the best predictor of smoking behaviours and vaping initiation but not current vaping status. Given the health consequences of smoking and vaping and their association with high-energy drink and coffee consumption, policy initiatives to prevent smoking/vaping initiation, and to limit youth access to these beverages, warrant consideration.

Keywords: adolescence; high-energy drink; sugar-sweetened beverages; caffeine; smoking; vaping; longitudinal (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/18/8/3864/pdf (application/pdf)
https://www.mdpi.com/1660-4601/18/8/3864/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:18:y:2021:i:8:p:3864-:d:531489

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jijerp:v:18:y:2021:i:8:p:3864-:d:531489