Poverty, dirt, infections and non-atopic wheezing in children from a Brazilian urban center
The causation of asthma is poorly understood. Risk factors for atopic and non-atopic asthma may be different. This study aimed to analyze the associations between markers of poverty, dirt and infections and wheezing in atopic and non-atopic children. 1445 children were recruited from a population-ba...
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Published in | Respiratory research Vol. 11; no. 1; p. 167 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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England
BioMed Central Ltd
01.12.2010
BioMed Central BMC |
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Abstract | The causation of asthma is poorly understood. Risk factors for atopic and non-atopic asthma may be different. This study aimed to analyze the associations between markers of poverty, dirt and infections and wheezing in atopic and non-atopic children.
1445 children were recruited from a population-based cohort in Salvador, Brazil. Wheezing was assessed using the ISAAC questionnaire and atopy defined as allergen-specific IgE ≥ 0.70 kU/L. Relevant social factors, environmental exposures and serological markers for childhood infections were investigated as risk factors using multivariate multinomial logistic regression.
Common risk factors for wheezing in atopic and non-atopic children, respectively, were parental asthma and respiratory infection in early childhood. No other factor was associated with wheezing in atopic children. Factors associated with wheezing in non-atopics were low maternal educational level (OR 1.49, 95% CI 0.98-2.38), low frequency of room cleaning (OR 2.49, 95% CI 1.27-4.90), presence of rodents in the house (OR 1.48, 95% CI 1.06-2.09), and day care attendance (OR 1.52, 95% CI 1.01-2.29).
Non-atopic wheezing was associated with risk factors indicative of poverty, dirt and infections. Further research is required to more precisely define the mediating exposures and the mechanisms by which they may cause non-atopic wheeze. |
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AbstractList | BACKGROUND: The causation of asthma is poorly understood. Risk factors for atopic and non-atopic asthma may be different. This study aimed to analyze the associations between markers of poverty, dirt and infections and wheezing in atopic and non-atopic children. METHODS: 1445 children were recruited from a population-based cohort in Salvador, Brazil. Wheezing was assessed using the ISAAC questionnaire and atopy defined as allergen-specific IgE ≥0.70 kU/L. Relevant social factors, environmental exposures and serological markers for childhood infections were investigated as risk factors using multivariate multinomial logistic regression. RESULTS: Common risk factors for wheezing in atopic and non-atopic children, respectively, were parental asthma and respiratory infection in early childhood. No other factor was associated with wheezing in atopic children. Factors associated with wheezing in non-atopics were low maternal educational level (OR 1.49, 95% CI 0.98-2.38), low frequency of room cleaning (OR 2.49, 95% CI 1.27-4.90), presence of rodents in the house (OR 1.48, 95% CI 1.06-2.09), and day care attendance (OR 1.52, 95% CI 1.01-2.29). CONCLUSIONS: Non-atopic wheezing was associated with risk factors indicative of poverty, dirt and infections. Further research is required to more precisely define the mediating exposures and the mechanisms by which they may cause non-atopic wheeze. Abstract Background The causation of asthma is poorly understood. Risk factors for atopic and non-atopic asthma may be different. This study aimed to analyze the associations between markers of poverty, dirt and infections and wheezing in atopic and non-atopic children. Methods 1445 children were recruited from a population-based cohort in Salvador, Brazil. Wheezing was assessed using the ISAAC questionnaire and atopy defined as allergen-specific IgE ≥0.70 kU/L. Relevant social factors, environmental exposures and serological markers for childhood infections were investigated as risk factors using multivariate multinomial logistic regression. Results Common risk factors for wheezing in atopic and non-atopic children, respectively, were parental asthma and respiratory infection in early childhood. No other factor was associated with wheezing in atopic children. Factors associated with wheezing in non-atopics were low maternal educational level (OR 1.49, 95% CI 0.98-2.38), low frequency of room cleaning (OR 2.49, 95% CI 1.27-4.90), presence of rodents in the house (OR 1.48, 95% CI 1.06-2.09), and day care attendance (OR 1.52, 95% CI 1.01-2.29). Conclusions Non-atopic wheezing was associated with risk factors indicative of poverty, dirt and infections. Further research is required to more precisely define the mediating exposures and the mechanisms by which they may cause non-atopic wheeze. The causation of asthma is poorly understood. Risk factors for atopic and non-atopic asthma may be different. This study aimed to analyze the associations between markers of poverty, dirt and infections and wheezing in atopic and non-atopic children. 1445 children were recruited from a population-based cohort in Salvador, Brazil. Wheezing was assessed using the ISAAC questionnaire and atopy defined as allergen-specific IgE ≥ 0.70 kU/L. Relevant social factors, environmental exposures and serological markers for childhood infections were investigated as risk factors using multivariate multinomial logistic regression. Common risk factors for wheezing in atopic and non-atopic children, respectively, were parental asthma and respiratory infection in early childhood. No other factor was associated with wheezing in atopic children. Factors associated with wheezing in non-atopics were low maternal educational level (OR 1.49, 95% CI 0.98-2.38), low frequency of room cleaning (OR 2.49, 95% CI 1.27-4.90), presence of rodents in the house (OR 1.48, 95% CI 1.06-2.09), and day care attendance (OR 1.52, 95% CI 1.01-2.29). Non-atopic wheezing was associated with risk factors indicative of poverty, dirt and infections. Further research is required to more precisely define the mediating exposures and the mechanisms by which they may cause non-atopic wheeze. The causation of asthma is poorly understood. Risk factors for atopic and non-atopic asthma may be different. This study aimed to analyze the associations between markers of poverty, dirt and infections and wheezing in atopic and non-atopic children. 1445 children were recruited from a population-based cohort in Salvador, Brazil. Wheezing was assessed using the ISAAC questionnaire and atopy defined as allergen-specific IgE [greater than or equal to]0.70 kU/L. Relevant social factors, environmental exposures and serological markers for childhood infections were investigated as risk factors using multivariate multinomial logistic regression. Common risk factors for wheezing in atopic and non-atopic children, respectively, were parental asthma and respiratory infection in early childhood. No other factor was associated with wheezing in atopic children. Factors associated with wheezing in non-atopics were low maternal educational level (OR 1.49, 95% CI 0.98-2.38), low frequency of room cleaning (OR 2.49, 95% CI 1.27-4.90), presence of rodents in the house (OR 1.48, 95% CI 1.06-2.09), and day care attendance (OR 1.52, 95% CI 1.01-2.29). Non-atopic wheezing was associated with risk factors indicative of poverty, dirt and infections. Further research is required to more precisely define the mediating exposures and the mechanisms by which they may cause non-atopic wheeze. BACKGROUNDThe causation of asthma is poorly understood. Risk factors for atopic and non-atopic asthma may be different. This study aimed to analyze the associations between markers of poverty, dirt and infections and wheezing in atopic and non-atopic children. METHODS1445 children were recruited from a population-based cohort in Salvador, Brazil. Wheezing was assessed using the ISAAC questionnaire and atopy defined as allergen-specific IgE ≥ 0.70 kU/L. Relevant social factors, environmental exposures and serological markers for childhood infections were investigated as risk factors using multivariate multinomial logistic regression. RESULTSCommon risk factors for wheezing in atopic and non-atopic children, respectively, were parental asthma and respiratory infection in early childhood. No other factor was associated with wheezing in atopic children. Factors associated with wheezing in non-atopics were low maternal educational level (OR 1.49, 95% CI 0.98-2.38), low frequency of room cleaning (OR 2.49, 95% CI 1.27-4.90), presence of rodents in the house (OR 1.48, 95% CI 1.06-2.09), and day care attendance (OR 1.52, 95% CI 1.01-2.29). CONCLUSIONSNon-atopic wheezing was associated with risk factors indicative of poverty, dirt and infections. Further research is required to more precisely define the mediating exposures and the mechanisms by which they may cause non-atopic wheeze. Background The causation of asthma is poorly understood. Risk factors for atopic and non-atopic asthma may be different. This study aimed to analyze the associations between markers of poverty, dirt and infections and wheezing in atopic and non-atopic children. Methods 1445 children were recruited from a population-based cohort in Salvador, Brazil. Wheezing was assessed using the ISAAC questionnaire and atopy defined as allergen-specific IgE [greater than or equal to]0.70 kU/L. Relevant social factors, environmental exposures and serological markers for childhood infections were investigated as risk factors using multivariate multinomial logistic regression. Results Common risk factors for wheezing in atopic and non-atopic children, respectively, were parental asthma and respiratory infection in early childhood. No other factor was associated with wheezing in atopic children. Factors associated with wheezing in non-atopics were low maternal educational level (OR 1.49, 95% CI 0.98-2.38), low frequency of room cleaning (OR 2.49, 95% CI 1.27-4.90), presence of rodents in the house (OR 1.48, 95% CI 1.06-2.09), and day care attendance (OR 1.52, 95% CI 1.01-2.29). Conclusions Non-atopic wheezing was associated with risk factors indicative of poverty, dirt and infections. Further research is required to more precisely define the mediating exposures and the mechanisms by which they may cause non-atopic wheeze. |
ArticleNumber | 167 |
Audience | Academic |
Author | Barreto, Mauricio L Fiaccone, Rosemeire Cooper, Philip J Alcantara-Neves, Neuza Cruz, Alvaro A Prado, Matildes Santos, Darci N Alvim, Sheila Esquivel, Renata Cunha, Sergio S Amorim, Leila D Strina, Agostino Rodrigues, Laura C |
AuthorAffiliation | 7 London School of Hygiene and Tropical Medicine, London, UK 3 Departamento de Estatística, Universidade Federal da Bahia, Salvador, Brazil 2 Departamento Medicina Social, Universidade Federal de Pernambuco, Recife, Brazil 5 Colegio de Ciências de la Salud, Universidad San Francisco de Quito, Quito, Ecuador 4 ProAR, Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil 6 Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Brazil 1 Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brazil |
AuthorAffiliation_xml | – name: 6 Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Brazil – name: 5 Colegio de Ciências de la Salud, Universidad San Francisco de Quito, Quito, Ecuador – name: 2 Departamento Medicina Social, Universidade Federal de Pernambuco, Recife, Brazil – name: 7 London School of Hygiene and Tropical Medicine, London, UK – name: 4 ProAR, Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil – name: 1 Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brazil – name: 3 Departamento de Estatística, Universidade Federal da Bahia, Salvador, Brazil |
Author_xml | – sequence: 1 givenname: Mauricio L surname: Barreto fullname: Barreto, Mauricio L email: mauricio@ufba.br organization: Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Brazil. mauricio@ufba.br – sequence: 2 givenname: Sergio S surname: Cunha fullname: Cunha, Sergio S – sequence: 3 givenname: Rosemeire surname: Fiaccone fullname: Fiaccone, Rosemeire – sequence: 4 givenname: Renata surname: Esquivel fullname: Esquivel, Renata – sequence: 5 givenname: Leila D surname: Amorim fullname: Amorim, Leila D – sequence: 6 givenname: Sheila surname: Alvim fullname: Alvim, Sheila – sequence: 7 givenname: Matildes surname: Prado fullname: Prado, Matildes – sequence: 8 givenname: Alvaro A surname: Cruz fullname: Cruz, Alvaro A – sequence: 9 givenname: Philip J surname: Cooper fullname: Cooper, Philip J – sequence: 10 givenname: Darci N surname: Santos fullname: Santos, Darci N – sequence: 11 givenname: Agostino surname: Strina fullname: Strina, Agostino – sequence: 12 givenname: Neuza surname: Alcantara-Neves fullname: Alcantara-Neves, Neuza – sequence: 13 givenname: Laura C surname: Rodrigues fullname: Rodrigues, Laura C |
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Copyright | COPYRIGHT 2010 BioMed Central Ltd. 2010 Barreto et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Copyright ©2010 Barreto et al; licensee BioMed Central Ltd. 2010 Barreto et al; licensee BioMed Central Ltd. |
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Snippet | The causation of asthma is poorly understood. Risk factors for atopic and non-atopic asthma may be different. This study aimed to analyze the associations... Background The causation of asthma is poorly understood. Risk factors for atopic and non-atopic asthma may be different. This study aimed to analyze the... Abstract Background: The causation of asthma is poorly understood. Risk factors for atopic and non-atopic asthma may be different. This study aimed to analyze... BACKGROUNDThe causation of asthma is poorly understood. Risk factors for atopic and non-atopic asthma may be different. This study aimed to analyze the... BACKGROUND: The causation of asthma is poorly understood. Risk factors for atopic and non-atopic asthma may be different. This study aimed to analyze the... Abstract Background The causation of asthma is poorly understood. Risk factors for atopic and non-atopic asthma may be different. This study aimed to analyze... |
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SubjectTerms | Analysis Asthma Asthma - epidemiology Asthma in children Brazil - epidemiology Child Child, Preschool Comorbidity Data collection Developing countries Female Households Humans Hygiene Hypersensitivity, Immediate - epidemiology Immunoglobulin E Infection LDCs Male Medical research Medicine, Experimental Parenting Poverty Poverty Areas Prevalence Regression analysis Respiratory Sounds Respiratory Tract Infections - epidemiology Risk Assessment Risk Factors Social aspects Studies Urban Population - statistics & numerical data Wheeze |
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Title | Poverty, dirt, infections and non-atopic wheezing in children from a Brazilian urban center |
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