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Ten cities cross-sectional questionnaire survey of children asthma and other allergies in China.

Authors :
Zhang, YinPing
Li, BaiZhan
Huang, Chen
Yang, Xu
Qian, Hua
Deng, QiHong
Zhao, ZhuoHui
Li, AnGui
Zhao, JiaNing
Zhang, Xin
Qu, Fang
Hu, Yu
Yang, Qin
Wang, Juan
Zhang, Ming
Wang, Fang
Zheng, XiaoHong
Lu, Chan
Liu, ZhiJian
Sun, YueXia
Source :
Chinese Science Bulletin. Dec2013, Vol. 58 Issue 34, p4182-4189. 8p.
Publication Year :
2013

Abstract

Asthma, rhinitis and eczema (allergic or non-allergic) have increased throughout the world during the last decades, especially among children. Changes in the indoor environment are suspected to be important causes. China has experienced a dramatic change in indoor environmental exposures during the past two decades. However, such changes and their associations with children’s asthma and other health aspects have not been thoroughly studied. China, Children, Homes, Health (CCHH), Phase I, was a cross-sectional questionnaire survey of 48219 children 1–8 years old in 10 Chinese cities during 2010–2012. The questionnaire includes the International Study of Asthma and Allergies in Childhood (ISAAC) core health questions and additional questions regarding housing, life habits and outdoor environment. In health analyses, children aged 3–6 years old were included. The prevalences of doctor diagnosed asthma varied from 1.7% to 9.8% (mean 6.8%), a large increase from 0.91% in 1999 and 1.50% in 2000. The prevalence of wheeze, rhinitis and atopic eczema (last 12 months) varied from 13.9% to 23.7%, 24.0% to 50.8% and 4.8% to 15.8%, respectively. Taiyuan had the lowest prevalences of all illnesses and Shanghai the highest, except for wheezewhere the highest value was for Urumqi. We found (1) no obvious association between disease prevalences and ambient PM 10 concentrations and (2) higher prevalences of disease in humid climates with hot summers and cold winters, but with no centrally heated buildings. Associations between the diseases and economic status as indexed by Gross Domestic Product (GDP) requires further study. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10016538
Volume :
58
Issue :
34
Database :
Academic Search Index
Journal :
Chinese Science Bulletin
Publication Type :
Academic Journal
Accession number :
91927479
Full Text :
https://doi.org/10.1007/s11434-013-5914-z