Evidence map›Paper›PMID 36109086›Full record

ArticleBMJ open respiratory research2022

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

Morenike Oluwatoyin Folayan, Omolola Alade, Yewande Adeyemo, Heba Jafar Sabbagh, Afolabi Oyapero, Elizabeth O Oziegbe, Bamidele Olubukola Popoola, Maryam Quritum, Maha El Tantawi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open respiratory research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
0.8field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 3 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 4 countries.

Morenike Oluwatoyin FolayanDepartment of Child Oral Health, Obafemi Awolowo University, Ile-Ife, Osun, Nigeria toyinukpong@yahoo.co.uk.ORCID 0000-0002-9008-7730
Omolola AladeDepartment of Peventive and Community Dentistry, Obafemi Awolowo University, Ile-Ife, Nigeria.
Yewande AdeyemoDepartment of Child Dental Health, Bayero University Kano, Kano, Nigeria.
Heba Jafar SabbaghPreventive Dental Sciences, King Abdulaziz University, Jeddah, Saudi Arabia, Jeddah, Saudi Arabia.
Afolabi OyaperoDepartment of Preventive Dentistry, Lagos State University College of Medicine, Ojo, Nigeria.
Elizabeth O OziegbeDepartment of Child Dental Health, Obafemi Awolowo University, Ile-Ife, Nigeria.
Bamidele Olubukola PopoolaDepartment of Child Oral Health, University of Ibadan, Ibadan, Oyo, Nigeria.ORCID 0000-0003-2037-9698
Maryam QuritumDepartment of Peventive and Community Dentistry, Alexandria University, Alexandria, Egypt.
Maha El TantawiDepartment of Pediatric Dentistry and Dental Public Health, Alexandria University, Alexandria, Egypt.
Obafemi Awolowo University · NGAlexandria University · EGBayero University Kano · NGKing Abdulaziz University · SALagos State University · NGUniversity of Ibadan · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe 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.

methodsAYP 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).

resultsThere 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).

conclusionThe 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.

Indexed as

COVID-19Electronic Nicotine Delivery SystemsHIV InfectionsVapingAdolescentHumansMaleNigeriaRisk FactorsSmokeSmokingTobacco SmokingSmokeCOVID-19Tobacco and the lung

Identifiers

PMID36109086
PMCPMC9478830
OpenAlexW4295958882

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.