Charlotte E Rutter, Harriet Mpairwe, Camila A Figueiredo, Mary Njoroge, Steven Robertson, Hajar Ali, Collin Brooks, Jeroen Douwes, Philip J Cooper, Martha Chico, Natalia Romero-Sandoval, Álvaro A Cruz, Pius Tumwesige, Mauricio L Barreto, Neil Pearce, Lucy Pembrey
{"title":"高收入国家和中低收入国家学龄儿童特应性和非特应性哮喘的危险因素","authors":"Charlotte E Rutter, Harriet Mpairwe, Camila A Figueiredo, Mary Njoroge, Steven Robertson, Hajar Ali, Collin Brooks, Jeroen Douwes, Philip J Cooper, Martha Chico, Natalia Romero-Sandoval, Álvaro A Cruz, Pius Tumwesige, Mauricio L Barreto, Neil Pearce, Lucy Pembrey","doi":"10.1136/thorax-2024-222118","DOIUrl":null,"url":null,"abstract":"Background It 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. Methods Using 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). Results Our 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. Data are available in a public, open access repository. Data are available upon reasonable request. Data may be obtained from a third party and are not publicly available. ISAAC data are publicly available at the UK Data Service archive (<http://discover.ukdataservice.ac.uk/catalogue?sn=8131>) . ALSPAC data can be accessed after application to the ALSPAC Executive Team; application instructions and data use agreements are available at [http://www.bristol.ac.uk/alspac/researchers/access/][1]. The relevant data from the WASP and SCAALA studies will be shared on reasonable request to the corresponding author. [1]: https://www.bristol.ac.uk/alspac/researchers/access/","PeriodicalId":23284,"journal":{"name":"Thorax","volume":"39 1","pages":""},"PeriodicalIF":9.0000,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk factors for atopic and non-atopic asthma in school-age children from high-income and low- and middle-income countries\",\"authors\":\"Charlotte E Rutter, Harriet Mpairwe, Camila A Figueiredo, Mary Njoroge, Steven Robertson, Hajar Ali, Collin Brooks, Jeroen Douwes, Philip J Cooper, Martha Chico, Natalia Romero-Sandoval, Álvaro A Cruz, Pius Tumwesige, Mauricio L Barreto, Neil Pearce, Lucy Pembrey\",\"doi\":\"10.1136/thorax-2024-222118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background It 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. Methods Using 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). Results Our 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. Data are available in a public, open access repository. Data are available upon reasonable request. Data may be obtained from a third party and are not publicly available. ISAAC data are publicly available at the UK Data Service archive (<http://discover.ukdataservice.ac.uk/catalogue?sn=8131>) . ALSPAC data can be accessed after application to the ALSPAC Executive Team; application instructions and data use agreements are available at [http://www.bristol.ac.uk/alspac/researchers/access/][1]. The relevant data from the WASP and SCAALA studies will be shared on reasonable request to the corresponding author. [1]: https://www.bristol.ac.uk/alspac/researchers/access/\",\"PeriodicalId\":23284,\"journal\":{\"name\":\"Thorax\",\"volume\":\"39 1\",\"pages\":\"\"},\"PeriodicalIF\":9.0000,\"publicationDate\":\"2025-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Thorax\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/thorax-2024-222118\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"RESPIRATORY SYSTEM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thorax","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/thorax-2024-222118","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
Risk factors for atopic and non-atopic asthma in school-age children from high-income and low- and middle-income countries
Background It 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. Methods Using 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). Results Our 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. Data are available in a public, open access repository. Data are available upon reasonable request. Data may be obtained from a third party and are not publicly available. ISAAC data are publicly available at the UK Data Service archive () . ALSPAC data can be accessed after application to the ALSPAC Executive Team; application instructions and data use agreements are available at [http://www.bristol.ac.uk/alspac/researchers/access/][1]. The relevant data from the WASP and SCAALA studies will be shared on reasonable request to the corresponding author. [1]: https://www.bristol.ac.uk/alspac/researchers/access/
期刊介绍:
Thorax stands as one of the premier respiratory medicine journals globally, featuring clinical and experimental research articles spanning respiratory medicine, pediatrics, immunology, pharmacology, pathology, and surgery. The journal's mission is to publish noteworthy advancements in scientific understanding that are poised to influence clinical practice significantly. This encompasses articles delving into basic and translational mechanisms applicable to clinical material, covering areas such as cell and molecular biology, genetics, epidemiology, and immunology.