Evidence map›Paper›PMID 23677830›Full record

ArticleWorld journal of pediatrics : WJP2013

Environmental risk factor assessment: a multilevel analysis of childhood asthma in China.

Fei Li, Ying-Chun Zhou, Shi-Lu Tong, Sheng-Hui Li, Fan Jiang, Xing-Ming Jin, Chong-Huai Yan, Ying Tian, Shi-Ning Deng, Xiao-Ming Shen

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in World journal of pediatrics : WJP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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

10 authors.

Fei LiDepartment of Developmental and Behavioral Pediatrics, Shanghai Institute of Pediatric Translational Medicine, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Ying-Chun Zhou
Shi-Lu Tong
Sheng-Hui Li
Fan Jiang
Xing-Ming Jin
Chong-Huai Yan
Ying Tian
Shi-Ning Deng
Xiao-Ming Shen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid changes in socioeconomic environment and their diverse patterns in China raise a question: how socio-environmental factors affect childhood asthma in China. We performed a multilevel analysis based on a 2005 national survey to understand the association between environmental factors and asthma, and to provide insights on developing prevention strategies.

methodsA multi-center, cross-sectional survey was conducted in 2018 school-aged children chosen from eight Chinese cities. Children of 6-13 years old were chosen randomly from schools of 39 centers in 8 cities. The multilevel analysis was made to assess both individual-level and city-level risk factors. The effect of gross domestic product (GDP) was further investigated by analysis of the factors.

resultsAnalysis of city-level environmental factors showed that GDP [adjusted odds ratio (OR)=1.88], particulate matter with aerodynamic diameter ≤10 μm (PM10) (adjusted OR=1.37), and average humidity (adjusted OR=1.33) were strong risk factors. Further analysis of the factors decomposed GDP into two major factors, the first represented by urban construction, energy consumption, nitrogen dioxide concentration, and the second represented by health-system coverage. This suggested that the negative effects of GDP outweighed its positive effects on asthma.

conclusionsThe prevalence of childhood asthma varies significantly in the eight Chinese cities. Socioenvironmental factors such as GDP, PM10 and average humidity are strong risk factors controlling individual attributes, suggesting that balance is needed between public health and economic development in China.

Indexed as

AdolescentAsthmaChildChinaCross-Sectional StudiesEnvironmental IllnessFemaleHumansMaleMultilevel AnalysisRisk Factors

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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.