Evidence map›Paper›PMID 29269755›Full record

ArticleJournal of exposure science & environmental epidemiology2019

Prevalence of asthma and allergic symptoms in Suzhou, China: Trends by domestic migrant status.

Linyan Li, John D Spengler, Shi-Jie Cao, Gary Adamkiewicz

Abstract read
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In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2019. 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
0.9field-weighted citation impact, top 27% 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, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  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

4 authors at 2 institutions in 2 countries.

Linyan LiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA. linyan.li@mail.harvard.edu.
John D SpenglerDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Shi-Jie CaoDepartment of Civil and Environmental Engineering, Soochow University, Suzhou, China.
Gary AdamkiewiczDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Harvard University · USSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid urbanization in developing countries, with significant rural-to-urban and between-urban areas migration, presents a natural epidemiological model to better understand population-level trends in asthma and allergy prevalance without confounding by genetic factors. This cross-sectional study, conducted November 2014 to January 2015 in Suzhou, China, investigated differences in asthma and allergic symptoms between domestic migrant residents and long-term residents and their children. Using multivariate logistic regression, the odds ratios for children in migrant families compared to those in long-term resident families in Suzhou for doctor-diagnosed asthma, pneumonia, rhinitis, and eczema were 0.56 (95% CI: 0.42.0.73), 0.60 (95% CI: 0.49, 0.72), 0.63 (95% CI:0.52, 0.77), and 0.73 (95% CI: 0.60, 0.89), respectively. While there was a lower prevalence of asthma and allergic symptoms for domestic migrants (children and parents) compared to the local population in Suzhou, migrant children had a higher asthma rate than their parents. This follows the trend of increasing asthma rates for children in the urban local population, suggesting an environmental component. Parental migration plays a role in both parental and children's health but further investigations are needed to determine how these results may be shaped by early life exposures, lifestyle differences, and other environmental factors.

Indexed as

AdolescentAsthmaChildChinaCross-Sectional StudiesFemaleHumansHypersensitivityLogistic ModelsMaleOdds RatioPrevalenceRisk FactorsRural PopulationSurveys and QuestionnairesUrban PopulationChild exposure/healthDiseaseEpidemiology

Identifiers

PMID29269755
OpenAlexW2776192246

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.