| Titre : |
Classification of patterns of tobacco and cannabis co-use based on temporal proximity : a qualitative study among young adults |
| Type de document : |
document électronique |
| Auteurs : |
Nhung Nguyen, Auteur ; Sabrina Islam, Auteur ; Karla D. Llanes, Auteur ; Kimberly A. Koester, Auteur ; Pamela M. Ling, Auteur |
| Editeur : |
Elsevier Science Direct |
| Année de publication : |
2024 |
| Collection : |
Addictive Behaviors num. 152 |
| Importance : |
8 p. |
| Présentation : |
ill., tab. |
| Langues : |
Anglais (eng) |
| Catégories : |
[DIVERS] personne:par âge:jeune
[TABAC] étude
[TABAC] tabagisme:risque:facteur associé:drogue:cannabis
|
| Index. décimale : |
TA 1.1.5 Cannabis |
| Résumé : |
Purpose:
Co-use of tobacco and cannabis is a common and complex behavior. The lack of harmonized measures of co-use yields confusion and inconsistencies in synthesizing evidence about the health effects of co-use. We aimed to classify co-use patterns based on temporal proximity and describe preferred products and motives for each
pattern in order to improve co-use surveillance.
Methods: We conducted semi-structured interviews in a sample of 34 young adults (Mage = 22.8 years, 32.4 % female) during 2017–2019 in California, USA. We employed a qualitative thematic analysis to identify timing, reasons, and contexts for tobacco and cannabis co-use and classify co-use patterns.
Results:
Four emergent patterns of co-use with increasing temporal proximity between tobacco use and cannabis use were: Same-month different-day co-use (Pattern 1); Same-day different-occasion co-use (Pattern 2); Same-occasion sequential co-use (Pattern 3); and Same-occasion simultaneous co-use (Pattern 4). Participants used various product combinations within each pattern. Similar motives for all patterns were socialization, product availability, and coping with stress/anxiety. Unique motive for temporally distant patterns (Patterns 1 and 2) was seeking substancespecific effects (e.g., stimulant effect from nicotine, relaxation effects from cannabis), while unique motives for temporally close patterns (Patterns 3 and 4) were seeking combined effects from both substances (e.g., more intense psychoactive effects, mitigating cannabis adverse effects) and behavioral trigger (e.g., cannabis use triggers tobacco use).
Conclusions:
Our classification of co-use patterns can facilitate consistency for measuring co-use and assessing its health impacts. Future research should also measure product types and motives for different patterns to inform intervention efforts. |
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