Evidence map›Paper›PMID 41334735›Full record

ArticleJournal of the American Heart Association2025

Persistent Organic Pollutants and Heart Rate Variability: A Population-Based Cross-Sectional Study in China.

Rui Tang, Wending Li, Chengyong Jia, Xuedan Xu, Qin Jiang, Jingli Qu, Yu Yin, Xi Wang, Shuping Ruan, Xiaozheng Wang and 3 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

13 authors.

Rui TangDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College Huazhong University of Science and Technology Wuhan 430030 China.
Wending LiDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College Huazhong University of Science and Technology Wuhan 430030 China.ORCID 0000-0001-5405-8708
Chengyong JiaDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College Huazhong University of Science and Technology Wuhan 430030 China.
Xuedan XuDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College Huazhong University of Science and Technology Wuhan 430030 China.
Qin JiangDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College Huazhong University of Science and Technology Wuhan 430030 China.ORCID 0000-0001-8622-7780
Jingli QuDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College Huazhong University of Science and Technology Wuhan 430030 China.
Yu YinDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College Huazhong University of Science and Technology Wuhan 430030 China.
Xi WangDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College Huazhong University of Science and Technology Wuhan 430030 China.
Shuping RuanHealth Management Center, Sinopharm Dongfeng General Hospital Hubei University of Medicine Shiyan 442008 China.
Xiaozheng WangHealth Management Center, Sinopharm Dongfeng General Hospital Hubei University of Medicine Shiyan 442008 China.
Pinpin LongDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College Huazhong University of Science and Technology Wuhan 430030 China.
Tangchun WuDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College Huazhong University of Science and Technology Wuhan 430030 China.ORCID 0000-0001-9931-5106
Yu YuanDepartment of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College Huazhong University of Science and Technology Wuhan 430030 China.ORCID 0000-0001-6932-6920

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmerging evidence has suggested that persistent organic pollutants (POPs) are linked with cardiovascular disease. However, limited evidence has systematically investigated the association between different types of POPs, individually or as mixtures, and heart rate variability (HRV).

methodsIn a community of 159 Chinese adults, we measured the serum concentrations of 100 POPs and assessed 7 HRV indicators. Single-pollutant-based robust linear regression and the least absolute shrinkage and selection operator regression were applied to identify significant POP-HRV pairs. Weighted quantile sum and Bayesian kernel machine regression models were used to assess the joint associations of POPs overlapping.

resultsPropetamphos, phosalone, metolachlor, and hexachlorobenzene were consistently associated with HRV indicators in both single-pollutant and least absolute shrinkage and selection operator models (all false discovery rate <0.2). One ln-unit increase of propetamphos was related with a 19.25% (95% CI: 6.83%, 30.02%) decrease in the root mean square successive difference (r-MSSD) and 20.08% (95% CI: 7.92%, 30.6%) decrease in very high frequency. However, p1 ln-unit increase of hexachlorobenzene was associated with a 35.17% (95% CI: 13.39%, 61.14%) and 31.21% (95% CI: 9.72%, 56.91%) increase in r-MSSD and very high frequency. Mixture analyses presented that co-exposure to POPs was associated with the lower value of r-MSSD and very high frequency, dominated by propetamphos.

conclusionsThis exploratory study suggested that POPs exposure might be linked to changes in HRV, with propetamphos as a potential key driver. The preliminary findings fill a knowledge gap concerning complex mixtures and offer a theoretical basis for future research into POPs exposure management and cardiovascular disease prevention.

Indexed as

Cardiovascular DiseasesEnvironmental ExposureHeart RatePersistent Organic PollutantsAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPersistent Organic Pollutantscardiovascular healthheart rate variabilitypersistent organic pollutantspesticidespropetamphos

Identifiers

PMID41334735
PMCPMC12826916

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.