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July

Health Reports – July 20, 2022

Correlates of vaping among adolescents in Canada
by Michelle Rotermann and Heather Gilmour

Vaping is more prevalent among younger than older Canadians. While vaping is less harmful than combustible tobacco, it is not without health risk. The primary objective of this study was to examine vaping in the past 30 days among 12- to 17-year-olds, using 2019 Canadian Health Survey on Children and Youth data. The secondary objectives were to identify adolescents who reported vaping before tobacco smoking and to examine the vaping of nicotine and flavoured e-liquids using data from the 2020 Canadian Community Health Survey and the 2019 Canadian Tobacco and Nicotine Survey.

Prevalence trends and factors associated with vaping in Ontario (2015 to 2018) and Quebec (2017 to 2019), Canada
by Christine D. Czoli, Gabriella Luongo and Trevor Mischki

Robust surveillance of vaping product use (with or without nicotine) in Canada has been limited by use of multiple tools with varying designs and content. The objective of the current study was to examine trends over time in vaping prevalence and to examine associated factors, using data from the Canadian Community Health Survey (CCHS). Trends in the prevalence of past-30-day vaping over time were examined using data available from optional modules of the CCHS, for Ontario from 2015 to 2018, and for Quebec from 2017 to 2019.

Risk of non-medical drug overdose following prescription of opioids post-injury: A retrospective cohort study
by Alex Zheng, Aamir Bharmal, Fahra Rajabali, Kate Turcotte, Larry Thomas, Len Garis and Ian Pike

There has been increasing scrutiny of opioid prescribing following injury given concerns that prescribed opioids may contribute to addiction and/or overdose. This study aimed to better understand the relationship between injury, opioids prescribed pre- and post-injury, and non-medical drug poisoning. Focusing on working age (15-65 years old) residents of the Fraser Health region, this study used a linked administrative dataset to better understand the relationships between injury, whether the injury was work-related or sustained outside of the workplace, pain management medication in the form of opioid and opioid agonist therapy prescriptions before and after injury, and potential non-medical drug poisoning.

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