Evidence map›Paper›PMID 37094940›Full record

ArticleJournal of epidemiology and community health2023

Interactions between long-term ambient particle exposures and lifestyle on the prevalence of hypertension and diabetes: insight from a large community-based survey.

Huanle Cai, Zhicheng Du, Xiao Lin, Wayne R Lawrence, Philip K Hopke, David Q Rich, Shao Lin, Jianpeng Xiao, Xinlei Deng, Yanji Qu and 10 more

Open access · greenAbstract read
In one paragraph

Article in Journal of epidemiology and community health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 24% of its field
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 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Associations of exposure to PMBMC public health · 2025
    Pooled it
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 9 institutions in 2 countries.

Huanle Cai *School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Zhicheng Du *School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Xiao Lin *School of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Wayne R LawrenceDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Philip K HopkeInstitute for a Sustainable Environment, Clarkson University, Potsdam, New York, USA.
David Q RichDepartment of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA.
Shao LinDepartment of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, New York, USA.
Jianpeng XiaoGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Xinlei DengDepartment of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, New York, USA.
Yanji QuGuangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangzhou, Guangdong, China.ORCID 0000-0003-1766-6338
Ziqiang LinDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, China.
Xinran WangSchool of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Xu JuSchool of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Shirui ChenSchool of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Yuqin ZhangSchool of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Wenjing WuSchool of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Ying WangSchool of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Jing GuSchool of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Yuantao HaoPeking University Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China zhangwj227@mail.sysu.edu.cn haoyt@bjmu.edu.cn.ORCID 0000-0001-8024-5312
Wangjian ZhangSchool of Public Health/Sun Yat-sen Global Health Institute/Center for Health Information Research, Sun Yat-Sen University, Guangzhou, Guangdong, China zhangwj227@mail.sysu.edu.cn haoyt@bjmu.edu.cn.ORCID 0000-0001-9655-6385
Sun Yat-sen University · CNUniversity at Albany, State University of New York · USClarkson University · USGuangdong Provincial Center for Disease Control and Prevention · CNGuangdong Provincial People's Hospital · CNJinan University · CNNational Institutes of Health · USPeking University · CNUniversity of Rochester · US

Funding

VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Martha Susiarjo · 1985 to 2026
$42.8M
Intramural NIH HHS Z99 CA999999NIEHS NIH HHS P30 ES001247
6 · The paper itself

Abstract

introductionEvidence on the interaction of lifestyle and long-term ambient particle (PM) exposure on the prevalence of hypertension, diabetes, particularly their combined condition is limited. We investigate the associations between PM and these outcomes and whether the associations were modified by various lifestyles.

methodsThis was a large population-based survey during 2019-2021 in Southern China. The concentrations of PM were interpolated and assigned to participants by the residential address. Hypertension and diabetes status were from questionnaires and confirmed with the community health centres. Logistic regression was applied to examine the associations, followed by a comprehensive set of stratified analyses by the lifestyles including diet, smoking, drinking, sleeping and exercise.

resultsA total of 82 345 residents were included in the final analyses. For each 1 μg/m

conclusionLong-term PM exposure was associated with increased prevalence of hypertension, diabetes and their combined condition, and those with unhealthy lifestyles suffered greater risks of these conditions.

Indexed as

Air PollutantsAir PollutionDiabetes MellitusHypertensionChinaEnvironmental ExposureHumansLife StyleParticulate MatterPrevalenceSurveys and QuestionnairesAir PollutantsParticulate Matterair pollutiondiabetes mellitusenvironmental healthhealth impact assessmenthypertension

Identifiers

PMID37094940
PMCPMC10330163
OpenAlexW4366822778

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.