Evidence map›Paper›PMID 32710354›Full record

ArticleEnvironmental science and pollution research international2020

Does underweight amplify the relationship between short-term particulate matter exposure and blood pressure in children and adolescents: a large cross-sectional study in a metropolis of China.

Jia Hu, Han Fu, Hui Shen, Chen-Gang Teng, Wei Yang, Hai-Bing Yang, Fang Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2020. 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
0.8field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. Article
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 at 3 institutions in 2 countries.

Jia HuSuzhou Center for Disease Prevention and Control, 72 Sanxiang Road, Suzhou, 215004, Jiangsu, China. hujia200606@163.com.ORCID https://orcid.org/0000-0001-5779-257X
Han FuXi'an Center for Disease Control and Prevention, Xi'an, 710054, Shaanxi, China.
Hui ShenSuzhou Center for Disease Prevention and Control, 72 Sanxiang Road, Suzhou, 215004, Jiangsu, China.
Chen-Gang TengSuzhou Center for Disease Prevention and Control, 72 Sanxiang Road, Suzhou, 215004, Jiangsu, China.
Wei YangSchool of Community Health Sciences, University of Nevada, Reno, NV, 89154, USA.
Hai-Bing YangSuzhou Center for Disease Prevention and Control, 72 Sanxiang Road, Suzhou, 215004, Jiangsu, China.
Fang LiuSuzhou Center for Disease Prevention and Control, 72 Sanxiang Road, Suzhou, 215004, Jiangsu, China. liufangszCDC@yeah.net.
Chinese Center For Disease Control and Prevention · CNUniversity of Nevada, Reno · USXian Center for Disease Control and Prevention · CN

Funding

Program of Science and Technology for People's Livelihood in Suzhou, China SYS2019115
6 · The paper itself

Abstract

Overweight/obesity modified the effects of ambient particulate matter (PM) exposure on blood pressure (BP). This study aims to assess whether interaction of underweight and short-term PM exposure on BP exists in Chinese children. A cross-sectional analysis including 144,513 children aged 6 to 17 years in 2016 Health Promotion Program for Children and Adolescents of Suzhou, China, was performed. Daily concentrations of inhalable PM (PM

Indexed as

Air PollutantsAir PollutionAdolescentBlood PressureChildChinaCross-Sectional StudiesEnvironmental ExposureHumansMaleParticulate MatterThinnessAir PollutantsParticulate MatterAdolescentBlood pressureChildInteractionParticulate matter

Identifiers

PMID32710354
OpenAlexW3044217642

What OpenQuestion holds

Textmetadata
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.