Evidence map›Paper›PMID 33653307›Full record

ArticleBMC public health2021

PM

Buwei Chen, Wen Ma, Yu Pan, Wei Guo, Yunsong Chen

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

5 authors.

Buwei Chen *Department of Sociology, School of Social and Behavioral Sciences, Nanjing University, Nanjing, 210023, Jiangsu Province, China.
Wen Ma *Department of Sociology, School of Social and Behavioral Sciences, Nanjing University, Nanjing, 210023, Jiangsu Province, China.
Yu PanJD.com Retail, Technology and Data Center, Transaction Product Department, Core Transaction Product Group, Beijing, China.
Wei GuoCenter on Population, Environment, Technology, and Society (C-PETS), School of Social and Behavioral Sciences, Nanjing University, Nanjing, 210023, Jiangsu Province, China. weiguo@nju.edu.cn.ORCID 0000-0002-4888-4816
Yunsong ChenDepartment of Sociology, School of Social and Behavioral Sciences, Nanjing University, Nanjing, 210023, Jiangsu Province, China. yunsong.chen@nju.edu.cn.

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 71921003Major Project of the National Social Science Fund of China 19ZDA149National Social Science Fund of China 20VYJ039
6 · The paper itself

Abstract

backgroundAnxiety disorders are among the most common mental health concerns today. While numerous factors are known to affect anxiety disorders, the ways in which environmental factors aggravate or mitigate anxiety are not fully understood.

methodsBaidu is the most widely used search engine in China, and a large amount of data on internet behavior indicates that anxiety is a growing concern. We reviewed the annual Baidu Indices of anxiety-related keywords for cities in China from 2013 to 2018 and constructed anxiety indices. We then employed a two-way fixed effect (FE) model to analyze the relationship between PM

resultsThe results indicated that there was a significant positive association between PM

conclusionThe enormous impact of PM

Indexed as

Air PollutantsAir PollutionAnxietyAnxiety DisordersChinaCitiesEnvironmental ExposureHumansParticulate MatterAir PollutantsParticulate MatterAnxietyBaidu indexChinaPM2.5Two-way FE model

Identifiers

PMID33653307
PMCPMC7923520

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.