학술논문

Perinatal risk factors for wheezing phenotypes in the first 8 years of life.
Document Type
Article
Source
Clinical & Experimental Allergy. Dec2013, Vol. 43 Issue 12, p1395-1405. 11p.
Subject
*WHEEZE
*PHENOTYPES
*ASTHMA
*SCHOOL children
*ALLERGIES
*JUVENILE diseases
Language
ISSN
0954-7894
Abstract
Background A novel data-driven approach was used to identify wheezing phenotypes in pre-schoolchildren aged 0-8 years, in the Prevention and Incidence of Asthma and Mite Allergy ( PIAMA) birth cohort. Five phenotypes were identified: never/infrequent wheeze, transient early wheeze, intermediate onset wheeze, persistent wheeze and late onset wheeze. It is unknown which perinatal risk factors drive development of these phenotypes. Objective The objective of the study was to assess associations of perinatal factors with wheezing phenotypes and to identify possible targets for prevention. Methods In the PIAMA study ( n = 3963), perinatal factors were collected at 3 months, and wheezing was assessed annually until the age of 8 years. Associations between perinatal risk factors and the five wheezing phenotypes were assessed using weighted multinomial logistic regression models. Odds ratios were adjusted for confounding variables and calculated with 'never/infrequent wheeze' as reference category. Results Complete data were available for 2728 children. Risk factors for transient early wheeze ( n = 455) were male gender, maternal and paternal allergy, low maternal age, high maternal body mass index, short pregnancy duration, smoking during pregnancy, presence of older siblings and day-care attendance. Risk factors for persistent wheeze ( n = 83) were male gender, maternal and paternal allergy, and not receiving breastfeeding for at least 12 weeks. Intermediate onset wheeze ( n = 98) was associated with a lower birth weight and late onset wheeze ( n = 45) with maternal allergy. Conclusion and Clinical Relevance We identified different risk factors for specific childhood wheezing phenotypes. Some of these are modifiable, such as maternal age and body mass index, smoking, day-care attendance and breastfeeding, and may be important targets for prevention programmes. [ABSTRACT FROM AUTHOR]