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Differences in risk indicators associated with electronic cigarette use and tobacco smoking among adolescents and young people in Nigeria

INTRODUCTION: The study determined the proportion of adolescents and young persons (AYP) in Nigeria who use e-cigarettes and smoke tobacco; and identified factors associated with the use of e-cigarettes and tobacco smoking. METHODS: AYP aged 11–23 years were recruited to participate in an online sur...

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Detalles Bibliográficos
Autores principales: Folayan, Morenike Oluwatoyin, Alade, Omolola, Adeyemo, Yewande, Sabbagh, Heba Jafar, Oyapero, Afolabi, Oziegbe, Elizabeth O, Popoola, Bamidele Olubukola, Quritum, Maryam, El Tantawi, Maha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478830/
https://www.ncbi.nlm.nih.gov/pubmed/36109086
http://dx.doi.org/10.1136/bmjresp-2022-001285
Descripción
Sumario:INTRODUCTION: The study determined the proportion of adolescents and young persons (AYP) in Nigeria who use e-cigarettes and smoke tobacco; and identified factors associated with the use of e-cigarettes and tobacco smoking. METHODS: AYP aged 11–23 years were recruited to participate in an online survey. The independent variables were respondents’ health, HIV and COVID-19 status and their level of anxiety. The dependent variables were tobacco smoking and use of e-cigarettes. Binary logistic regression was used to determine the associations between the dependent and independent variables after adjusting for confounders (age, sex, educational level and vulnerability status). RESULTS: There were 2206 respondents of which 568 (19.8%) used e-cigarettes and 787 (27.4%) smoked tobacco. Individual (18–23 years, having a health condition, high anxiety and being vulnerable) and familial (having father, mother, siblings or friends who used e-cigarettes) factors were associated with both the use of e-cigarettes and tobacco smoking. Tobacco smoking was a significant risk indicator for e-cigarettes use and vice versa. COVID-19 infection (adjusted OR, AOR: 3.602) and living with HIV (AOR: 1.898) were associated with higher odds of using e-cigarettes. Males (AOR: 1.577), 15–17 years (AOR: 6.621) and moderate anxiety (AOR: 2.500) were associated with higher odds of tobacco smoking. AYP with health conditions had higher odds of using e-cigarettes (AOR: 1.514) while AYP with moderate anxiety had lower odds of using e-cigarettes (AOR: 0.627). CONCLUSION: The proportion of AYP in Nigeria who used e-cigarettes and smoked tobacco is high. Public health interventions that target the common risk factors for e-cigarettes use and tobacco smoking among AYP in Nigeria are urgently needed.