Evidence map›Paper›PMID 39953466›Full record

ArticleBMC public health2025

Exploring the association between exposure to pesticides, polycyclic aromatic hydrocarbons, and phthalates and metabolic syndrome in National Health and Nutrition Examination Survey in the USA, 2007-2012: utilizing a multi-step statistical strategy.

Yadan Xu, Yifan Xu, Wen Gu, Xinyi Zhou, Huaying Wu, Xu Yang

Abstract read
In one paragraph

Article in BMC 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. Review
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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

6 authors.

Yadan Xu *State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, 211166, China.
Yifan Xu *State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, 211166, China.
Wen GuState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, 211166, China.
Xinyi ZhouState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, 211166, China.
Huaying WuDepartment of Stomatology, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfeixiang, Mochou Road, Nanjing, 210004, China. huayingwu@njmu.edu.cn.
Xu YangState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, 211166, China. yangxu3@njmu.edu.cn.

Funding

Jiangsu Province Maternal and Child Health Research Program F202214National Postdoctoral Program for Innovative Talents BX20240171the Fellowship of China Postdoctoral Science Foundation 2023M741785the Jiangsu Funding Program for Excellent Postdoctoral Talent 2024ZB352Young Scholars of Jiangsu Province BK20240525
6 · The paper itself

Abstract

backgroundPesticides, polycyclic aromatic hydrocarbons (PAHs), and phthalates are recognized as potential contributors to metabolic disorders. Nevertheless, the combined effect of simultaneous exposure to these chemicals on the metabolic syndrome (MetS) remains elusive.

objectivesTo explore the impacts of simultaneous exposure to pesticides, PAHs and phthalates and identify critical chemicals on MetS.

methodsBased on the National Health and Nutrition Examination Survey (NHANES) database from 2007-2012, our study included 4030 non-pregnant individuals aged 20 years or older. We used the weighted linear regression model, variable selection models (including LASSO regression and BMA models), as well as a mixture exposure model (WQS model) to investigate the correlation between chemicals and MetS. Additionally, stratified analyses were performed based on gender and age.

resultsThe weighted generalized linear regression model revealed a positive correlation of 2-hydroxyphenanthrene (2-PHEN) with MetS (OR: 1.37, 95% CI: 1.19-1.59, P < 0.001). Both the LASSO regression and BMA models identified 2-PHEN as a significant chemical positively associated with MetS. Additionally, the WQS model showed a positive association between overall exposure to the three chemical categories and MetS, with the highest weighted chemicals being 2-PHEN. Stratified analyses demonstrated a significant correlation between 2-PHEN and MetS between different subgroups. Notably, the WQS regression model revealed a significant association in the subgroup of female (OR = 1.40, 95% CI: 1.08-1.83, P < 0.05), with 2-PHEN, 2,5-dichlorophenol (2,5-DCP), 2-hydroxynaphthalene (2-NAP), and mono-ethyl phthalate (MEP) identified as the primary contributions to MetS.

conclusionCombined exposure to the three chemical groups was associated with an increased risk of MetS, with the PAHs group exhibiting the most pronounced effect and 2-PHEN emerging as a key chemical, underscoring significant public health concerns regarding the potential health risks of endocrine-disrupting chemicals (EDCs) exposure to metabolic diseases.

Indexed as

Environmental ExposureMetabolic SyndromePesticidesPhthalic AcidsPolycyclic Aromatic HydrocarbonsAdultAgedFemaleHumansLinear ModelsMaleMiddle AgedNutrition SurveysUnited StatesYoung AdultPesticidesphthalic acidPhthalic AcidsPolycyclic Aromatic HydrocarbonsAnalytical studyEDCsMetSObservational studyUSA

Identifiers

PMID39953466
PMCPMC11827259

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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.