Faculty Opinions recommendation of Hygiene factors associated with childhood food allergy and asthma.

Author(s):  
Nicola Heller
2016 ◽  
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pp. 140-146 ◽  
Author(s):  
Ruchi S. Gupta ◽  
Anne Marie Singh ◽  
Madeline Walkner ◽  
Deanna Caruso ◽  
Paul J. Bryce ◽  
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2020 ◽  
Vol 145 (1) ◽  
pp. 415-426 ◽  
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Michael E. Levin ◽  
Maresa Botha ◽  
Wisdom Basera ◽  
Heidi E. Facey-Thomas ◽  
Ben Gaunt ◽  
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2019 ◽  
Vol 143 (2) ◽  
pp. AB255 ◽  
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Elena Crestani ◽  
Jonathan Leirer ◽  
Alison Motsinger-Reif ◽  
Wanda Phipatanakul ◽  
Rima Kaddurah-Daouk ◽  
...  

2019 ◽  
Vol 178 (10) ◽  
pp. 1507-1517
Author(s):  
Nicolette W. de Jong ◽  
Niels J. Elbert ◽  
Sara M. Mensink-Bout ◽  
Johanna P. M. van der Valk ◽  
Suzanne G. M. A. Pasmans ◽  
...  

2015 ◽  
Vol 26 (2) ◽  
pp. 111-118 ◽  
Author(s):  
Christina J. Jones ◽  
Carrie D. Llewellyn ◽  
Anthony J. Frew ◽  
George Du Toit ◽  
Somnath Mukhopadhyay ◽  
...  

2012 ◽  
Vol 5 ◽  
pp. S25
Author(s):  
Tetsuo Shoda ◽  
Ichiro Nomura ◽  
Yukihiro Ohya ◽  
Seisuke Sakamoto ◽  
Mureo Kasahara

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261092
Author(s):  
Hua Feng ◽  
Xiujuan Xiong ◽  
Zhuo Chen ◽  
Qunying Xu ◽  
Zhongwei Zhang ◽  
...  

Background To determine the prevalence of food allergy (FA) and factors associated with these occurrences in different populations from different regions. Materials and methods The literature search will be conducted via Pubmed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), Vip and Wanfang databases. Ratio rate (RR), odds ratio (OR) and 95% confidence intervals (CIs) will be adopted to evaluate prevalence and factors for FA in different populations from different regions. When the heterogeneity is small (I2<50%), the fixed effect model will be analyzed, otherwise, random effects model analysis will be performed. When the heterogeneity is large (I2≥50%), Meta regression will be used to explore the sources of inter-study heterogeneity. When the heterogeneity is large (I2≥50%) and the results are statistically significant (P<0.05), subgroup analysis will be analyzed based on age, gender, race/region, literature quality and other factors. Funnel plots will be used to reflect reporting bias and the Begg’s test will be used to test the symmetry of the funnel plots. When publication bias occurs, “cut-and-fill” method will be adopted to adjust publication bias. And sensitivity analysis will be performed for all outcome indicators. Discussion This meta-analysis will evaluate the prevalence of FA and factors associated with these occurrences in different populations from different regions on the basis of existing evidences. Our study may be crucial to analyze similarities and differences regarding FA between different individuals from diverse regions and eventually define preventive or diagnostic approaches specifically tailored to certain populations and regions. Systematic review registration OSF registration number: 10.17605/OSF.IO/VQXU9


2020 ◽  
Vol 145 (3) ◽  
pp. 897-906 ◽  
Author(s):  
Elena Crestani ◽  
Hani Harb ◽  
Louis-Marie Charbonnier ◽  
Jonathan Leirer ◽  
Alison Motsinger-Reif ◽  
...  

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