Evidence map›Paper›PMID 40746677›Full record

ArticleFrontiers in public health2025

Association between the urine tobacco metabolite levels and physical health in Chinese primary school students with secondhand smoke exposure.

Menghan Cheng, Miao Zhang, Wen Fang, Hong Qin, Yue Pan, Shengyi Chen, Guiqi Cao, Yao Zhang, Yu Lu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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.

Menghan ChengCenter for Environment and Health in Water Source Area of South-to-North Water Diversion, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China.
Miao ZhangCenter for Environment and Health in Water Source Area of South-to-North Water Diversion, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China.
Wen FangCenter for Environment and Health in Water Source Area of South-to-North Water Diversion, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China.
Hong QinCenter for Environment and Health in Water Source Area of South-to-North Water Diversion, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China.
Yue PanCenter for Environment and Health in Water Source Area of South-to-North Water Diversion, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China.
Shengyi ChenCenter for Environment and Health in Water Source Area of South-to-North Water Diversion, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China.
Guiqi CaoCenter for Environment and Health in Water Source Area of South-to-North Water Diversion, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China.
Yao ZhangCenter for Environment and Health in Water Source Area of South-to-North Water Diversion, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China.
Yu LuCenter for Environment and Health in Water Source Area of South-to-North Water Diversion, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is limited epidemiological evidence on the association between secondhand smoke exposure and growth and developmental problems in children and adolescents. This study aimed to explore the relationship between urinary levels of nicotine, cotinine, and trans-3'-hydroxycotinine and physical health outcomes in Chinese children. Methods: This cross-sectional study included 491 children aged 8 to 12 years from a primary school in 2023. Socio-demographic characteristics and lifestyle factors, including household routines and caregiver smoking status, were collected through a structured questionnaire. This information was subsequently analyzed to investigate correlations between urinary tobacco metabolite concentrations and physical health outcomes in children. Generalized linear regression models were applied to evaluate the relationships between urinary levels of nicotine, cotinine, and trans-3'-hydroxycotinine and key physical health indicators. Results: Among the 491 children, 168 were classified as overweight or obese, 134 had hypertension, 17 showed abnormal spirometry results, and 394 had low vision. The median urinary concentrations of nicotine, cotinine, and trans-3'-hydroxycotinine were 4.70 ng/mL, 3.91 ng/mL, and 5.33 ng/mL, respectively. After adjusting for potential confounders, urinary nicotine levels were positively associated with weight, body mass index (BMI), systolic blood pressure (SBP), and waist circumference. No significant associations were observed between urinary cotinine or trans-3'-hydroxycotinine levels and physical health indicators. Conclusion: Urinary nicotine levels were positively associated with weight, BMI, systolic blood pressure, and waist circumference. In contrast, no significant associations were found between urinary cotinine or trans-3'-hydroxycotinine levels and physical health indicators. These findings suggest that further longitudinal cohort studies are warranted to evaluate the potential of urinary cotinine and trans-3'-hydroxycotinine as reliable biomarkers for assessing and monitoring the physical health status of primary school children.

Indexed as

CotinineHealth StatusNicotineStudentsTobacco Smoke PollutionChildChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleSchoolsSurveys and QuestionnairesCotininehydroxycotinineNicotineTobacco Smoke Pollutioninternal exposurephysical healthprimary school studentsecond-hand smokeurinary tobacco metabolites

Identifiers

PMID40746677
PMCPMC12312655

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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.