| Title |
A Multiple Indicators Multiple Cause (MIMIC) Model of Respiratory Health and Household Factors in Chinese Children: The Seven Northeastern Cities (SNEC) Study
|
|---|---|
| Published in |
Maternal and Child Health Journal, January 2014
|
| DOI | 10.1007/s10995-013-1245-6 |
| Pubmed ID | |
| Authors |
Guang-Hui Dong, Zhengmin Qian, Qiang Fu, Jing Wang, Edwin Trevathan, Wenjun Ma, Miao-Miao Liu, Da Wang, Wan-Hui Ren, Kee-Hean Ong, Tekeda Freeman Ferguson, Erin Riley, Maayan Simckes |
| Abstract |
In China, with the rapid economic development and improvement of living standards over the past few decades, the household living environment has shifted dramatically. The aim of the present study is to assess the impact of home environment factors on respiratory symptoms and asthma in Chinese children. Investigators analyzed data collected in the 25 districts from the seven Northeastern cities to examine health effects on respiratory symptoms and asthma in 31,049 children aged 2-14 years. Factor analysis was used to reduce 33 children's lifestyle and household variables to six new 'factor' variables. The multiple indicators multiple causes approach was used to examine the relationship between indoor air pollution and respiratory health status, controlling for covariates. Factor analyses generated six factor variables of potential household risk factors from an original list of 33 variables. The respiratory symptoms and asthma were significantly associated with the recent home renovation factor (estimate = 0.076, p < 0.001), pet ownership factor (estimate = 0.095, p < 0.001), environmental tobacco smoke (ETS) exposure factor (estimate = 0.181, p < 0.001) and PVC-flooring factor (estimate = 0.031, p = 0.007). Home ventilation factor was not related to any respiratory condition (estimate = 0.028, p = 0.074). Independent respiratory health effects existed for multiple household environmental factors recent home renovation, pet ownership, ETS, and PVC-flooring. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 15% |
| Researcher | 14 | 14% |
| Student > Master | 12 | 12% |
| Student > Bachelor | 7 | 7% |
| Other | 6 | 6% |
| Other | 21 | 21% |
| Unknown | 27 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 25% |
| Nursing and Health Professions | 8 | 8% |
| Psychology | 6 | 6% |
| Environmental Science | 6 | 6% |
| Social Sciences | 5 | 5% |
| Other | 16 | 16% |
| Unknown | 36 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 February 2013.
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#21,415,544
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Outputs from Maternal and Child Health Journal
#1,874
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Outputs of similar age
#274,464
of 312,805 outputs
Outputs of similar age from Maternal and Child Health Journal
#33
of 40 outputs
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