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Differences in risk indicators associated with electronic cigarette use and tobacco smoking among adolescents and young people in Nigeria.
Folayan, Morenike Oluwatoyin; Alade, Omolola; Adeyemo, Yewande; Sabbagh, Heba Jafar; Oyapero, Afolabi; Oziegbe, Elizabeth O; Popoola, Bamidele Olubukola; Quritum, Maryam; El Tantawi, Maha.
Affiliation
  • Folayan MO; Department of Child Oral Health, Obafemi Awolowo University, Ile-Ife, Osun, Nigeria toyinukpong@yahoo.co.uk.
  • Alade O; Department of Peventive and Community Dentistry, Obafemi Awolowo University, Ile-Ife, Nigeria.
  • Adeyemo Y; Department of Child Dental Health, Bayero University Kano, Kano, Nigeria.
  • Sabbagh HJ; Preventive Dental Sciences, King Abdulaziz University, Jeddah, Saudi Arabia, Jeddah, Saudi Arabia.
  • Oyapero A; Dental School, Dundee University, UK.
  • Oziegbe EO; Department of Preventive Dentistry, Lagos State University College of Medicine, Ojo, Nigeria.
  • Popoola BO; Department of Child Dental Health, Obafemi Awolowo University, Ile-Ife, Nigeria.
  • Quritum M; Department of Child Oral Health, University of Ibadan, Ibadan, Oyo, Nigeria.
  • El Tantawi M; Department of Peventive and Community Dentistry, Alexandria University, Alexandria, Egypt.
BMJ Open Respir Res ; 9(1)2022 09.
Article in En | MEDLINE | ID: mdl-36109086
ABSTRACT

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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / Electronic Nicotine Delivery Systems / Vaping / COVID-19 Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Humans / Male Country/Region as subject: Africa Language: En Journal: BMJ Open Respir Res Year: 2022 Document type: Article Affiliation country: Nigeria

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / Electronic Nicotine Delivery Systems / Vaping / COVID-19 Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Humans / Male Country/Region as subject: Africa Language: En Journal: BMJ Open Respir Res Year: 2022 Document type: Article Affiliation country: Nigeria