Evidence map›Paper›PMID 38974946›Full record

ArticleThe World Allergy Organization journal2024

Potential asthma risk factors do not account for global asthma symptom prevalence patterns and time trends in children and adolescents.

Charlotte E Rutter, Richard J Silverwood, Neil Pearce, David P Strachan, Global Asthma Network Study Group

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Article in The World Allergy Organization journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Charlotte E RutterDepartment of Medical Statistics, London School of Hygiene and Tropical Medicine, UK.
Richard J SilverwoodDepartment of Medical Statistics, London School of Hygiene and Tropical Medicine, UK.
Neil PearceDepartment of Medical Statistics, London School of Hygiene and Tropical Medicine, UK.
David P StrachanPopulation Health Research Institute, St George's University of London, UK.
Global Asthma Network Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The International Study of Asthma and Allergies in Childhood (ISAAC) and the Global Asthma Network (GAN) conducted a series of global asthma prevalence surveys, between 1990 and 2020, in adolescents aged 13-14 and children aged 6-7 years. We used them to assess whether potential asthma risk factors explain global asthma symptom prevalence trends over this period. Method: We fitted mixed-effects linear regression models to estimate associations between centre-level risk factor prevalence and both the mid-point asthma symptom prevalence and the change per decade. We also estimated the 2019 asthma symptom prevalence across all included centres. Results: For adolescents, across 50 centres in 26 countries there was weak evidence that decreasing asthma prevalence over time was associated with regular fast-food consumption and frequent television viewing. However, frequent television viewing, along with heavy truck traffic, were associated with higher prevalence of asthma symptoms at the study mid-point. For children, across 41 centres in 21 countries, no risk factors were associated with time trends in asthma symptom prevalence, but truck traffic and paracetamol in the first year of life were associated with higher mid-point prevalence.We estimated the 2019 asthma symptom prevalence, across a total of 124 centres, to be 12.8% (11.4%, 14.2%) with little evidence of a difference by age. Low-income countries had lower prevalence (children 5.2% [2.5%, 7.8%], adolescents 5.3% [2.8%, 7.8%]), than lower-middle-, upper-middle- and high-income countries (all approximately 14-15%). Including risk factors in the models did not change the estimates. Conclusion: Potential asthma risk factors do not seem to explain the global prevalence patterns or time trends. Country income accounts for some of the differences, but the unexplained variation is very high.

Indexed as

AsthmaPrevalenceRisk factorsTime trendsWheeze

Identifiers

PMID38974946
PMCPMC11227011

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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.