ArticleThorax2025
Risk factors for atopic and non-atopic asthma in school-age children from high-income and low- and middle-income countries.
Article in Thorax, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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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.
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Who cites it
2 citing papers in PubMed.
- Microbial and metabolomic profiling of the upper respiratory tract in children with asthma.Frontiers in microbiology · 2026Article
- Causes and MEchanisms foR non-atopic Asthma in Children (CAMERA) study: rationale and protocol.Respiratory research · 2025Article
Corrections and comments
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Authors and funding
17 authors.
Funding
Abstract
backgroundIt is well established that there are different asthma phenotypes, but whereas determinants of atopic asthma (AA) are well studied, little is known about non-atopic asthma (NAA). We compared risk factors for atopy, AA in atopics and NAA in non-atopics in children in a wide variety of countries.
methodsUsing four studies, across 23 countries, we assessed asthma status and atopy (skin prick tests) for children aged 6-17, plus risk factors from housing, heating, pets, family, diet and air quality categories. Using mixed-effects logistic regression models, we assessed risk factors over four pathways: pathway 1-non-atopic non-asthma to NAA; pathway 2-non-atopic non-asthma to atopy (no asthma); pathway 3-atopic non-asthma to AA; pathway 4-non-atopic non-asthma to AA. We compared the log odds of risk factors between pathways using the Pearson correlation coefficient (PCC).
resultsOur final sample of 32 741 children comprised 67% with neither atopy nor asthma, 15% with atopy but without asthma, 8% with AA and 10% with NAA. Risk factors were similar between pathway 1 and pathway 3 (PCC=0.81, 95% CI 0.68 to 0.94). In contrast, risk factors differed between pathway 2 and pathway 3 (PCC=-0.06, 95% CI -0.29 to 0.17). DISCUSSION: These findings indicate that although atopy increases the risk of asthma, the risk factors for subsequently developing asthma are generally the same in those with and without atopy. This raises important questions about the role of atopy in asthma, particularly whether it is an inherent part of the aetiological process or is coincidental.
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