Author: Sigurdardottir, Sigurveig T.; Jonasson, Kristjan; Clausen, Michael; Lilja Bjornsdottir, Kristin; Sigurdardottir, Sigridur Erla; Roberts, Graham; Grimshaw, Kate; Papadopoulos, Nikolaos G.; Xepapadaki, Paraskevi; Fiandor, Ana; Quirce, Santiago; Sprikkelman, Aline B.; Hulshof, Lies; Kowalski, Marek L.; Kurowski, Marcin; Dubakiene, Ruta; Rudzeviciene, Odilija; Bellach, Johanna; Yürek, Songül; Reich, Andreas; Erhard, Sina Maria; Couch, Philip; Rivas, Montserrat Fernandez; van Ree, Ronald; Mills, Clare; Grabenhenrich, Linus; Beyer, Kirsten; Keil, Thomas
Title: Prevalence and earlyâ€life risk factors of schoolâ€age allergic multimorbidity: The EuroPrevallâ€iFAAM birth cohort Cord-id: 0tdqsre7 Document date: 2021_6_8
ID: 0tdqsre7
Snippet: BACKGROUND: Coexistence of childhood asthma, eczema and allergic rhinitis is higher than can be expected by chance, suggesting a common mechanism. Data on allergic multimorbidity from a panâ€European, populationâ€based birth cohort study have been lacking. This study compares the prevalence and earlyâ€life risk factors of these diseases in European primary school children. METHODS: In the prospective multicentre observational EuroPrevallâ€iFAAM birth cohort study, we used standardized questi
Document: BACKGROUND: Coexistence of childhood asthma, eczema and allergic rhinitis is higher than can be expected by chance, suggesting a common mechanism. Data on allergic multimorbidity from a panâ€European, populationâ€based birth cohort study have been lacking. This study compares the prevalence and earlyâ€life risk factors of these diseases in European primary school children. METHODS: In the prospective multicentre observational EuroPrevallâ€iFAAM birth cohort study, we used standardized questionnaires on sociodemographics, medical history, parental allergies and lifestyle, and environmental exposures at birth, 12 and 24 months. At primary school age, parents answered ISAACâ€based questions on current asthma, rhinitis and eczema. Allergic multimorbidity was defined as the coexistence of at least two of these. RESULTS: From 10,563 children recruited at birth in 8 study centres, we included data from 5,572 children (mean age 8.2 years; 51.8% boys). Prevalence estimates were as follows: asthma, 8.1%; allergic rhinitis, 13.3%; and eczema, 12.0%. Allergic multimorbidity was seen in 7.0% of the whole cohort, ranging from 1.2% (Athens, Greece) to 10.9% (Madrid, Spain). Risk factors for allergic multimorbidity, identified with AICc, included familyâ€allergyâ€score, odds ratio (OR) 1.50 (95% CI 1.32–1.70) per standard deviation; earlyâ€life allergy symptoms, OR 2.72 (2.34–3.16) for each symptom; and caesarean birth, OR 1.35 (1.04–1.76). Female gender, OR 0.72 (0.58–0.90); older siblings, OR 0.79 (0.63–0.99); and day care, OR 0.81 (0.63–1.06) were protective factors. CONCLUSION: Allergic multimorbidity should be regarded as an important chronic childhood disease in Europe. Some of the associated earlyâ€life factors are modifiable and may be considered for prevention strategies.
Search related documents:
Co phrase search for related documents- additional model and logistic model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
- additional model and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8
- additional model and low prevalence: 1
- additional model and machine learning: 1, 2, 3, 4, 5, 6, 7, 8, 9
- additional model and machine learning study: 1
- adolescence childhood and machine learning: 1
- local language and machine learning: 1
- logistic model and low estimate: 1, 2
- logistic model and low prevalence: 1, 2, 3, 4, 5, 6, 7, 8, 9
- logistic model and machine learning: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- logistic model and machine learning study: 1, 2, 3, 4, 5, 6, 7, 8
- logistic regression model and low estimate: 1, 2
- logistic regression model and low prevalence: 1, 2, 3, 4, 5, 6, 7, 8
- logistic regression model and machine learning: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- logistic regression model and machine learning study: 1, 2, 3, 4, 5, 6, 7
- low estimate and machine learning: 1
- low estimate and machine learning study: 1
- low prevalence and machine learning: 1, 2, 3, 4, 5
Co phrase search for related documents, hyperlinks ordered by date