Literature DB >> 23677830

Environmental risk factor assessment: a multilevel analysis of childhood asthma in China.

Fei Li1, Ying-Chun Zhou, Shi-Lu Tong, Sheng-Hui Li, Fan Jiang, Xing-Ming Jin, Chong-Huai Yan, Ying Tian, Shi-Ning Deng, Xiao-Ming Shen.   

Abstract

BACKGROUND: Rapid changes in socioeconomic environment and their diverse patterns in China raise a question: how socio-environmental factors affect childhood asthma in China. We performed a multilevel analysis based on a 2005 national survey to understand the association between environmental factors and asthma, and to provide insights on developing prevention strategies.
METHODS: A multi-center, cross-sectional survey was conducted in 2018 school-aged children chosen from eight Chinese cities. Children of 6-13 years old were chosen randomly from schools of 39 centers in 8 cities. The multilevel analysis was made to assess both individual-level and city-level risk factors. The effect of gross domestic product (GDP) was further investigated by analysis of the factors.
RESULTS: Analysis of city-level environmental factors showed that GDP [adjusted odds ratio (OR)=1.88], particulate matter with aerodynamic diameter ≤10 μm (PM10) (adjusted OR=1.37), and average humidity (adjusted OR=1.33) were strong risk factors. Further analysis of the factors decomposed GDP into two major factors, the first represented by urban construction, energy consumption, nitrogen dioxide concentration, and the second represented by health-system coverage. This suggested that the negative effects of GDP outweighed its positive effects on asthma.
CONCLUSIONS: The prevalence of childhood asthma varies significantly in the eight Chinese cities. Socioenvironmental factors such as GDP, PM10 and average humidity are strong risk factors controlling individual attributes, suggesting that balance is needed between public health and economic development in China.

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Year:  2013        PMID: 23677830     DOI: 10.1007/s12519-013-0413-5

Source DB:  PubMed          Journal:  World J Pediatr            Impact factor:   2.764


  12 in total

1.  Asthma prevalence and deprivation: a small area analysis.

Authors:  C Salmond; P Crampton; S Hales; S Lewis; N Pearce
Journal:  J Epidemiol Community Health       Date:  1999-08       Impact factor: 3.710

2.  Establishment of exposure-response functions of air particulate matter and adverse health outcomes in China and worldwide.

Authors:  Hai-Dong Kan; Bing-Heng Chen; Chang-Hong Chen; Bing-Yan Wang; Qing-Yan Fu
Journal:  Biomed Environ Sci       Date:  2005-06       Impact factor: 3.118

3.  Health effects of socially toxic neighborhoods: the violence and urban asthma paradigm.

Authors:  Rosalind J Wright
Journal:  Clin Chest Med       Date:  2006-09       Impact factor: 2.878

4.  Low-carbon energy policy and ambient air pollution in Shanghai, China: a health-based economic assessment.

Authors:  Changhong Chen; Bingheng Chen; Bingyan Wang; Cheng Huang; Jing Zhao; Yi Dai; Haidong Kan
Journal:  Sci Total Environ       Date:  2007-01-03       Impact factor: 7.963

5.  The relationship between asthma admission rates, routes of admission, and socioeconomic deprivation.

Authors:  J P Watson; P Cowen; R A Lewis
Journal:  Eur Respir J       Date:  1996-10       Impact factor: 16.671

6.  Climate and the prevalence of symptoms of asthma, allergic rhinitis, and atopic eczema in children.

Authors:  S K Weiland; A Hüsing; D P Strachan; P Rzehak; N Pearce
Journal:  Occup Environ Med       Date:  2004-07       Impact factor: 4.402

7.  [Comparative analysis of the state of asthma prevalence in children from two nation-wide surveys in 1990 and 2000 year].

Authors:  Yu-zhi Chen
Journal:  Zhonghua Jie He He Hu Xi Za Zhi       Date:  2004-02

8.  China's health system performance.

Authors:  Yuanli Liu; Keqin Rao; Jing Wu; Emmanuela Gakidou
Journal:  Lancet       Date:  2008-10-17       Impact factor: 79.321

Review 9.  Systematic review of worldwide variations of the prevalence of wheezing symptoms in children.

Authors:  Swatee P Patel; Marjo-Riitta Järvelin; Mark P Little
Journal:  Environ Health       Date:  2008-11-10       Impact factor: 5.984

10.  School variation in asthma: compositional or contextual?

Authors:  Tracy K Richmond; S V Subramanian
Journal:  PLoS One       Date:  2009-12-30       Impact factor: 3.240

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  1 in total

Review 1.  Risk factors of asthma in the Asian population: a systematic review and meta-analysis.

Authors:  Yang Yie Sio; Fook Tim Chew
Journal:  J Physiol Anthropol       Date:  2021-12-09       Impact factor: 2.867

  1 in total

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