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1.
Pediatr Pulmonol ; 46(2): 166-74, 2011 Feb.
Article in English | MEDLINE | ID: mdl-21290615

ABSTRACT

BACKGROUND: Accumulating evidence suggests, asthma includes many phenotypes with varying clinical and prognostic features. Epidemiological surveys documented a number of environmental risk factors for the development of asthma and interestingly these differ between and within countries, suggesting that the differences may be related with the different distribution of asthma phenotypes. This study aimed to investigate risk factors of current wheezing (CW) and different wheezing phenotypes in elementary school children. METHODS: Six thousand nine hundred sixty-three 9- to 11-year-old children of a previous multicenter survey where the methodology of the International Study of Asthma and Allergies in Childhood (ISAAC) Phase-II was used were analyzed. Wheezing phenotypes were defined as wheezing with rhinitis (RW), wheezing with rhinoconjunctivitis (RCW), atopic wheezing (AW), non-atopic wheezing (NAW), and frequent wheezing (FW) (≥4/year wheezing episodes). RESULTS: The prevalence of CW was 15.8% and among these, 22.4%, 67.3%, 45.9%, 20.5%, and 79.5% were classified as FW, RW, RCW, AW, and NAW, respectively. History of parental asthma/allergic rhinitis, coexistence of other allergic diseases, presence of mold and dampness in the house lived during the first year of life and maternal smoking in pregnancy were found to be risk factors for most phenotypes (odds ratio (OR) ranged from 1.43 to 3.56). Number of household in the last year (OR = 1.14), prematurity (OR = 2.08), and duration of breastfeeding (OR = 1.02) per additional month were found to be risk factor for FW, AW, and RCW, respectively. CONCLUSION: Beside common risk factors for the development of asthma and its phenotypes, certain risk factors appeared to play a role in the development of phenotypic characteristics of asthma. These findings support our hypothesis that each phenotype has not only different clinical characteristics but also has different roots.


Subject(s)
Asthma/etiology , Respiratory Sounds/etiology , Asthma/epidemiology , Breast Feeding/statistics & numerical data , Child , Conjunctivitis/epidemiology , Female , Fungi , Humans , Hypersensitivity/epidemiology , Male , Multicenter Studies as Topic , Phenotype , Pregnancy , Prevalence , Rhinitis/epidemiology , Risk Factors , Smoking/epidemiology , Turkey/epidemiology
2.
Pediatr Allergy Immunol ; 20(1): 72-80, 2009 Feb.
Article in English | MEDLINE | ID: mdl-18363634

ABSTRACT

Successful management of childhood asthma requires a thorough idea of the economic impact of asthma and its determinants, as policy makers and physicians inevitably influence the outcome. The aim of this study was to define the cost of childhood asthma in Turkey and its determinants. In April 2006, a multi-center, national study was performed where data regarding cost and control levels were collected. Asthmatic children (6-18 yr) with at least a 1-yr follow-up seen during a 1-month period with scheduled or unscheduled visits were included. The survey included a questionnaire-guided interview and retrospective evaluation of files. Cost and its determinants during the last year were analyzed. A total of 618 children from 12 asthma centers were surveyed. The total annual cost of childhood asthma was US$1597.4 +/- 236.2 and there was a significant variation in costs between study centers (p < 0.05). Frequent physician visits [odds ratio (95% confidence intervals)] [2.3 (1.6-3.4)], hospitalization [1.9 (1.1-3.3)], asthma severity [1.6 (1.1-2.8)], and school absenteeism due to asthma [1.5 (1.1-2.1)] were major predictors of total annual costs (p < 0.05 for each). The comparable cost of asthma among Turkish children with that reported in developed countries suggests that interventions to decrease the economic burden of pediatric asthma should focus on the cost-effectiveness of anti-allergic household measures and on improving the control levels of asthma.


Subject(s)
Asthma/economics , Asthma/therapy , Asthma/epidemiology , Child , Cost-Benefit Analysis , Cross-Sectional Studies , Data Collection , Female , Follow-Up Studies , Humans , Male , Retrospective Studies , Risk Factors , Surveys and Questionnaires , Turkey/epidemiology
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