Evidence map›Paper›PMID 38431552›Full record

ArticleBMC public health2024

Association of volatile organic compound exposure with metabolic syndrome and its components: a nationwide cross-sectional study.

Rui Dong, Dongchun Chang, Chao Shen, Ya Shen, Zhengkai Shen, Ting Tian, Jie Wang

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Urinary Volatile Organic Compound Metabolites Are Associated With MASLD/MASH in Humans and Induce Steatosis in Liver Organoids.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
  4. Association of volatile organic compounds with serum lactate dehydrogenase levels in the general adults.International archives of occupational and environmental health · 2026
    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

7 authors.

Rui DongDepartment of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, China.
Dongchun ChangDepartment of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, China.
Chao ShenNanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Ya ShenDepartment of Integrated Service and Management, Jiangsu Province Center for Disease Control and Prevention, Nanjing, China.
Zhengkai ShenDepartment of Integrated Service and Management, Jiangsu Province Center for Disease Control and Prevention, Nanjing, China.
Ting TianJiangsu Provincial Center for Disease Control and Prevention, Institute of Nutrition and Food Safety, Nanjing, China. jstt@jscdc.cn.ORCID 0000-0001-5043-0015
Jie WangDepartment of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, China. wangjienjmu@126.com.ORCID 0000-0001-7159-5839

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) is a health issue consisting of multiple metabolic abnormalities. The impact of exposure to volatile organic compounds (VOCs) on MetS and its components remains uncertain. This study aimed to assess the associations of individual urinary metabolites of VOC (mVOCs) and mVOC mixtures with MetS and its components among the general adult population in the United States.

methodsA total of 5345 participants with eligible data were filtered from the 2011-2020 cycles of the National Health and Nutrition Examination Survey. Multivariate logistic regression models were applied to assess the associations of individual mVOCs with MetS and its components. The least absolute shrinkage and selection operator (LASSO) regression models were constructed to identify more relevant mVOCs. The weight quantile sum regression model was applied to further explore the links between mVOC co-exposure and MetS and its components.

resultsThe results indicated positive associations between multiple mVOCs and MetS, including CEMA, DHBMA, and HMPMA. CEMA was found to be positively correlated with all components of MetS. HMPMA was associated with elevated triglyceride (TG), reduced high-density lipoprotein, and fasting blood glucose (FBG) impairment; 3HPMA was associated with an elevated risk of high TG and FBG impairment; and DHBMA had positive associations with elevated TG and high blood pressure. The co-exposure of LASSO-selected mVOCs was associated with an increased risk of elevated TG, high blood pressure, and FBG impairment.

conclusionPositive associations of certain individual urinary mVOCs and mVOC mixtures with MetS and its components were observed by utilizing multiple statistical models and large-scale national data. These findings may serve as the theoretical basis for future experimental and mechanistic studies and have important implications for public health.

Indexed as

HypertensionMetabolic SyndromeVolatile Organic CompoundsAdultCross-Sectional StudiesHumansNutrition SurveysRisk FactorsVolatile Organic CompoundsCentral obesityHigh-density lipoproteinMetabolismNational health and nutrition examination surveyTriglycerideVolatile organic compounds

Identifiers

PMID38431552
PMCPMC10909266

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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.