Search

Your search keyword '"Cavaleiro Rufo, João"' showing total 147 results
Start Over Author "Cavaleiro Rufo, João"
147 results on '"Cavaleiro Rufo, João"'

6. Indoor Air Quality in Hospitals: How Is the Situation in Portugal?

Author

Farraia, Mariana, Paciência, Inês, Ribeiro, Ana Isabel, Moreira, André, Cavaleiro Rufo, João, Kacprzyk, Janusz, Series Editor, Arezes, Pedro M., editor, Baptista, João S., editor, Barroso, Mónica P., editor, Carneiro, Paula, editor, Cordeiro, Patrício, editor, Costa, Nélson, editor, Melo, Rui B., editor, Miguel, A. Sérgio, editor, and Perestrelo, Gonçalo, editor

Published
2019
Full Text
View/download PDF

17. Diet quality and airway inflammation in school aged children

Author

Rodrigues, Mónica, de Castro Mendes, Francisca, Paciência, Inês, Cavaleiro Rufo, João, Silva, Diana, Delgado, Luís, Moreira, André, Moreira, Pedro, Faculdade de Ciências da Nutrição e Alimentação, and Faculdade de Medicina

Subjects
Health sciences, Medical and Health sciences, Ciências médicas e da saúde, Medical and Health sciences, Ciências da Saúde, Ciências médicas e da saúde
Published
2022

21. Neighbourhood green and blue spaces and allergic sensitization in children: A longitudinal study based on repeated measures from the Generation XXI cohort

Author

Paciência, Inês, primary, Moreira, André, additional, Moreira, Carla, additional, Cavaleiro Rufo, João, additional, Sokhatska, Oksana, additional, Rama, Tiago, additional, Hoffimann, Elaine, additional, Santos, Ana Cristina, additional, Barros, Henrique, additional, and Ribeiro, Ana Isabel, additional

Published
2021
Full Text
View/download PDF

24. Higher diversity of vegetable consumption is associated with less airway inflammation and prevalence of asthma in school‐aged children

Author

Mendes, Francisca de Castro, primary, Paciência, Inês, additional, Cavaleiro Rufo, João, additional, Farraia, Mariana, additional, Silva, Diana, additional, Padrão, Patrícia, additional, Delgado, Luís, additional, Garcia‐Larsen, Vanessa, additional, Moreira, André, additional, and Moreira, Pedro, additional

Published
2021
Full Text
View/download PDF

26. Effects of Exercise on the Skin Epithelial Barrier of Young Elite Athletes-Swimming Comparatively to Non-Water Sports Training Session

Author

Paciência, Inês, primary, Rodolfo, Ana, additional, Leão, Leonor, additional, Silva, Diana, additional, Cavaleiro Rufo, João, additional, Mendes, Francisca, additional, Padrão, Patrícia, additional, Moreira, Pedro, additional, Laerte Boechat, Jose, additional, Delgado, Luís, additional, and Moreira, André, additional

Published
2021
Full Text
View/download PDF

29. Childhood asthma and land‐use characteristics in school and residential neighborhoods: A decision tree learning approach.

Author

Paciência, Inês, Cavaleiro Rufo, João, Ribeiro, Ana Isabel, Severo, Milton, Moreira, André, and Genuneit, Jon

Subjects
*ASTHMATICS, *NEIGHBORHOODS, *ASTHMA in children, *COMMUNITY schools, *DECISION trees
Abstract

Regression tree models were used to identity the land-use characteristics in school and residential neighborhoods associated with the prevalence of asthma among children. The mean imputation method was used for residences without information on land-use characteristics, and the missing values are replaced with the mean of the same land-use type for each child's school. Keywords: asthma; children; environment; regression tree models; respiratory disease predictors EN asthma children environment regression tree models respiratory disease predictors 1 4 4 01/05/22 20220101 NES 220101 ACKNOWLEDGEMENTS Authors gratefully acknowledge the Project EXALAR 21 funded by the European Regional Development Fund (FEDER), through the Competitiveness and Internationalization Operational Programme, and by national funding from the Foundation for Science and Technology (FCT) under the scope of the project PTDC/GES-AMB/30193/2017 (POCI-01-0145-FEDER-030193, 02/SAICT/2017 - Project nº 30193). Childhood asthma and land-use characteristics in school and residential neighborhoods: A decision tree learning approach. [Extracted from the article]

Published
2022
Full Text
View/download PDF

38. Exposure to indoor endocrine-disrupting chemicals and childhood asthma and obesity

Author

Paciência, Inês, primary, Cavaleiro Rufo, João, additional, Silva, Diana, additional, Martins, Carla, additional, Mendes, Francisca, additional, Farraia, Mariana, additional, Delgado, Luís, additional, de Oliveira Fernandes, Eduardo, additional, Padrão, Patrícia, additional, Moreira, Pedro, additional, Severo, Milton, additional, Barros, Henrique, additional, and Moreira, André, additional

Published
2019
Full Text
View/download PDF

40. The neighbourhood natural environment is associated with asthma in children: A birth cohort study.

Author

Cavaleiro Rufo, João, Paciência, Inês, Hoffimann, Elaine, Moreira, André, Barros, Henrique, and Ribeiro, Ana Isabel

Subjects
*ASTHMA in children, *NORMALIZED difference vegetation index, *CHILDBIRTH, *NEIGHBORHOODS, *SPECIES diversity
Abstract

Background: A lower exposure to the natural environment has been hypothesized to adversely affect the human microbiome and its immunomodulatory capacity. However, the underlying effects of this hypothesis are still not understood. We aimed to evaluate the effect of early‐life exposure to greenness and species richness on the development of allergic diseases and asthma in children. Methods: A longitudinal study was conducted comprising 1050 children from a population‐based birth cohort recruited in Portugal. Residential normalized difference vegetation index (NDVI) and species richness index (SRI) were assessed at baseline to estimate their association with allergic diseases and asthma at the ages of 4 and 7. Results: Significant predisposing associations were observed between the exposure to species richness at baseline and the onset of asthma and wheezing at the age of 7. Children living in neighbourhoods surrounded by high levels of SRI were at a significantly higher risk developing allergic sensitization(OR [95% CI] = 2.00 [1.04:3.86] at age 4; 2.35 [1.20:4.63] at age 7). Living surrounded by greener environments was significantly associated with a lower prevalence of asthma and rhinitis at the age of 7(0.41 [0.18:0.97] and 0.37 [0.15:0.93], respectively). Conclusions: Living in close proximity to a greener environment at birth has a protective effect on the development of allergic diseases and asthma at the age of 7. Conversely, living in neighbourhoods with a high number of fauna species appears to be associated with a higher risk for allergy, asthma and wheezing. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

42. Swimming pool exposure is associated with autonomic changes and increased airway reactivity to a beta-2 agonist in school aged children: A cross-sectional survey

Author

Cavaleiro Rufo, João, primary, Paciência, Inês, additional, Silva, Diana, additional, Martins, Carla, additional, Madureira, Joana, additional, Oliveira Fernandes, Eduardo de, additional, Padrão, Patrícia, additional, Moreira, Pedro, additional, Delgado, Luís, additional, and Moreira, André, additional

Published
2018
Full Text
View/download PDF

43. Bacterial and fungal exposure in schools may influence asthma and allergy in children

Author

Cavaleiro Rufo, João, Madureira, J., Paciência, I., Aguiar, L., Delgado, L., Teixeira, J.P., de Oliveira Fernandes, E., and Moreira, A.

Subjects
Schools, Allergy, Ar e Saúde Ocupacional, Children, Asthma
Abstract

Development of allergic diseases may be regulated by microbial exposure. Children spend a lot of their time in schools, under an extensive diversity of biological agents, such as bacteria and fungi. This study aimed to characterize indoor air microbiological exposure in schools as a predictor of allergic sensitization and asthma in children. This work was supported by FCT through the ARIA project (PTDC/DTP-SAP/1522/2012, FCOMP-01- 0124-FEDER-028709) and grants SFRH/BD/108605/2015 and SFRH/BD/112269/2015. N/A

Published
2016

45. Indoor fungal diversity in primary schools may differently influence allergic sensitization and asthma in children

Author

Cavaleiro Rufo, João, primary, Madureira, Joana, additional, Paciência, Inês, additional, Aguiar, Lívia, additional, Pereira, Cristiana, additional, Silva, Diana, additional, Padrão, Patrícia, additional, Moreira, Pedro, additional, Delgado, Luís, additional, Annesi-Maesano, Isabella, additional, Oliveira Fernandes, Eduardo, additional, Teixeira, João Paulo, additional, and Moreira, André, additional

Published
2017
Full Text
View/download PDF

46. Exhaled breath condensate volatilome allows sensitive diagnosis of persistent asthma.

Author

Cavaleiro Rufo, João, Paciência, Inês, Mendes, Francisca Castro, Farraia, Mariana, Rodolfo, Ana, Silva, Diana, de Oliveira Fernandes, Eduardo, Delgado, Luís, and Moreira, André

Subjects
*ELECTRONIC noses, *ASTHMA diagnosis, *FOOTBALL training, *DIAGNOSIS, *VOLATILE organic compounds, *RESPIRATORY organs
Abstract

Background: The diagnosis and phenotyping of paediatric asthma are particularly complex due to the lack of currently available sensitive diagnostic tools. This often results in uncertainties associated with inhaled steroid therapy prescription. Therefore, this study aimed to investigate whether volatile organic compounds measured in exhaled breath condensate can be used as biomarkers for asthma diagnosis in the paediatric population. Methods: A total of 64 participants, aged 6‐18 years, were recruited on a random basis during visits to an outpatient allergy clinic and to a juvenile football team training session. Lung function, airway reversibility and skin prick tests were performed. Exhaled breath condensate samples were collected, and breathprints were assessed using an electronic nose. Information on medical diagnosis of asthma, rhinitis and atopic dermatitis was retrieved for each participant. A hierarchical cluster model based on the volatilome profiles was then created. Results: A two‐cluster exhaled volatile organic compound‐based hierarchical model was able to significantly discriminate individuals with asthma from those without the disease (AUC = 0.81 [0.69‐0.93], P < 0.001). Individuals who had persistent asthma and were prescribed corticosteroid therapy by the physician were also significantly distinguished in the model (AUC = 0.81 [0.70‐0.92], P < 0.001). Despite being less specific, the method showed higher overall accuracy, sensitivity and AUC values when compared to spirometry with bronchodilation. Conclusions: Analysis of the exhaled breath condensate volatilome allowed the distinction of paediatric individuals with a medical diagnosis of asthma, identifying those in need of corticosteroid therapy. The developed breathomics model was able to identify individuals with asthma and with persistent asthma with improved performance over spirometry with bronchodilation. The study shows that a breathomics model was able to identify individuals with a medical diagnosis of asthma with high accuracy. Individuals with asthma in need of inhaled corticosteroid therapy were significantly clustered in the model. Breathomics has the potential to assist the physician in the diagnosis of asthma and/or administration of corticosteroid therapy for paediatric patients with asthma. [ABSTRACT FROM AUTHOR]

Published
2019
Full Text
View/download PDF

47. Bronchodilator responsiveness in healthy children: Insights from a cross‐sectional study.

Author

Rama, Tiago Azenha, Martins, Carla, Paciência, Inês, Cavaleiro Rufo, João, Silva, Diana, Castro Mendes, Francisca, Severo, Milton, Padrão, Patrícia, Moreira, Pedro, Delgado, Luís, and Moreira, André

Subjects
BRONCHIECTASIS, RESPIRATORY infections, OBSTRUCTIVE lung diseases, CROSS-sectional method
Abstract

Keywords: asthma; bronchodilator response; diagnosis; pediatrics; responsiveness cutoffs EN asthma bronchodilator response diagnosis pediatrics responsiveness cutoffs 371 373 3 02/02/21 20210201 NES 210201 To the editor, The term asthma refers to a heterogeneous group of diseases characterized by variable and reversible airflow limitation. Diagnosis of asthma was based on parent-reported prior medical diagnosis, previously demonstrated by our group to be the most accurate measure to predict questionnaire-driven symptom patterns, for this sample.5 We assessed the normal range for BDR of each measure in healthy children, that is, with no previous parent-reported medical diagnosis of asthma. In children, while over-diagnosis is an issue to be tackled, under-diagnosis is still a problem.8 As such, increasing the cutoff to 16% may cause damage to a countless number of children with asthma and the authors do not recommend its use. [Extracted from the article]

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results