Evidence map›Paper›PMID 40529510›Full record

ArticleJournal of Taibah University Medical Sciences2025

Second-hand smoke exposure among school children during COVID-19 in Jeddah.

Ahlam A Mazi

Abstract read
In one paragraph

Article in Journal of Taibah University Medical Sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

1 author.

Ahlam A MaziDepartment of Pediatrics, Faculty of Medicine, King Abdulaziz University, PO Box 80215, Jeddah, 21589, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Second-hand smoke (SHS) exposure among children leads to significant health risks and increases the likelihood of smoking initiation. Global research into SHS is extensive but very few studies have been conducted in KSA, especially during pandemic lockdowns. Objectives: This study explored the patterns of SHS exposure among school-age children during the COVID-19 pandemic in Jeddah, KSA. The relationships of SHS with smoking behaviors were also examined, including attempts, active smoking, willingness to smoke, and peer influence. Methods: A cross-sectional school-based survey was conducted from September to December during 2020 among 6,717 children in Jeddah, aged 8-22 years. The survey, adapted from the Global Youth Tobacco Survey, assessed self-reported SHS exposure across various locations and sources, and its correlations with smoking behaviors and peer influence. Results: Among the participants, 48.8 % reported exposure to SHS at varying levels (95 % confidence interval: 47.6-50.0 %), where the most common exposure sites were public places (33.8 %) and homes (23.8 %). Daily exposure was highest at home (13.4 %). Independent factors associated with SHS exposure included older age, maternal employment, and receipt of weekly pocket money. Furthermore, SHS exposure was positively correlated with a higher risk of ever smoking, current smoking, and future willingness to smoke, as well as peer influence in an independent relationship, with stronger effects at higher exposure levels. Conclusion: Despite the pandemic lockdown, exposure to SHS remained high among children in Jeddah, and it was consistent with pre-pandemic levels. These findings highlight the need for targeted strategies to reduce SHS exposure and prevent smoking initiation, contributing to better health outcomes for children.

Indexed as

ChildrenCOVID-19Global youth tobacco surveyLockdownSecond-hand smoke exposure

Identifiers

PMID40529510
PMCPMC12173111

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Registered trials

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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.