Asthma, type-1 allergy and related conditions in 7- and 8-year-old children in Northern Sweden: Prevalence rates and risk factor pattern

Department of Occupational Health, National Institute for Working Life, Umeå, Sweden.
Respiratory Medicine (Impact Factor: 2.92). 03/1998; 92(2):316-24. DOI: 10.1016/S0954-6111(98)90115-9
Source: PubMed

ABSTRACT As a first step in an intervention study of asthma and allergic diseases among school children, a cross-sectional study was performed during Winter 1996 in three towns (Kiruna, Luleå and Piteå) in the northernmost province of Sweden, Norrbotten. The cross-sectional study aimed to measure the prevalence of asthma, type-1 allergy and allergic diseases in order to make it possible to measure the incidence of the diseases, conditions and symptoms related to the diseases. Another aim was to perform a screening for possible risk factors. All children enrolled in the first and second classes at school, 7 and 8 years old, were invited to take part in this study. The ISAAC questionnaire with added questions about symptoms, morbidity, heredity and environment was distributed by the schools to the parents. The response rate was 97%, and 3431 completed questionnaires were returned. The children in two of the municipalities were also invited to skin test, and 2149 (88%) were tested with 10 common airborne allergens. The results showed that 7% of the children were currently using or had used asthma medicines during the last 12 months. Six percent had asthma diagnosed by a physician, and 4% were using inhaled corticosteroids. The prevalence of wheezing during the last 12 months was 12%, rhinitis without colds 14%, and eczema 27%, while 21% had a positive skin test. The respiratory symptoms and conditions were significantly greater in boys and, further, they were most prevalent in Kiruna in the very north, though not significantly. Type-1 allergy and asthma had different risk factor patterns. The main risk factors for asthma were a family history of asthma (OR = 3.2) followed by past or present house dampness (OR = 1.9), male sex (OR = 1.7) and a smoking mother (OR = 1.6). In Kiruna, when none of these three risk factors were present, none of the children had asthma, but when all three were present, 38% of these children were using asthma medicines.

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    ABSTRACT: The city of Chongqing has high outdoor temperatures and humidity throughout the year and consequently a high risk of dampness and mold problems in dwellings. As part of the China, Children, Homes, Health (CCHH), associations between home characteristics and children’s asthma, allergies, and related symptoms were investigated in Chongqing, China. A cross-sectional questionnaire survey on home characteristics including dampness and symptoms of asthma and allergies in 5299 children was performed. Data for 4754 children (3–6 years) and their homes were analyzed. Results showed that 35.1% of homes were reported to have “damp bedding”, 14.3% “condensation on window panes (higher than 5 cm)”, 11.6% “mouldy odor”, 9.3% “water leakage”, 8.3% “damp stains” and 5.3% “visible mould”. Wheezing and rhinitis ever were reported for 27.0% and 51.1% children respectively, and rhinitis, wheezing, cough at night and eczema in the last 12 months were reported for 38.1%, 20.5%, 18.9% and 13.2% respectively. Doctor-diagnosed asthma was reported for 8.3% of children, and doctor-diagnosed rhinitis for 6.2%. Dampness in homes was generally strongly associated with asthma and allergies among Chongqing children. The strongest association was found between “visible mould” and doctor-diagnosed rhinitis, and the adjusted Odds Ratio (ORA ) was 2.27 (95%CI: 1.48, 3.49). “Damp bedding” was significantly associated with all asthma and allergic symptoms, but doctor-diagnosed asthma and rhinitis. The behavior of “putting bedding to sunshine” could effectively reduce the prevalence of asthma and allergic symptoms, and the risk of bedding affected with damp was reduced significantly when bedding was put to sunshine frequently.
    Chinese Science Bulletin 12/2013; 58(34). DOI:10.1007/s11434-013-5774-6 · 1.37 Impact Factor
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