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hildren of elementary-school age. Future studies may consider the use of individual-level dose estimates (as opposed to exposure concentrations) to improve the dose-response assessment.
Long-term PM2.5 exposure, when estimated as exposure dose averaged over a year or longer, was associated with statistically significant reductions in FVC and FEV1 in children of elementary-school age. read more Future studies may consider the use of individual-level dose estimates (as opposed to exposure concentrations) to improve the dose-response assessment.
The prevalence of childhood asthma may have changed with rapid economic development. This study aims to ascertain potential changes in asthma prevalence in relation to changes in socioeconomic, parental and household factors, based on a comparison between two periods spanning over 20 years in Lanzhou, a large northwestern city of China.
Cross-sectional studies using the same protocols were performed in Lanzhou, China in 1994-1995 (Period I) and in 2017 (Period II). Children of 6-12 years old from elementary schools were selected by a multistage sampling method. Information on the presence of asthma and asthma-related symptoms of children, socioeconomic status, feeding methods, parental illness and behavior patterns, as well as household characteristics, were collected through a questionnaire survey. Logistic regression models were used to estimate odds ratios of asthma prevalence with regard to socioeconomic, parental and household factors, respectively.
Significant prevalence reductions were observed f 2017 than in 1994-1995 in school children living in Lanzhou. In 2017 with increased urbanization and industrialization, breastfeeding became a significant protective factor and household mold was a significant risk factor for asthma diagnosis and asthma-related symptoms. Promoting breastfeeding and household mold control is recommended to reduce the risk of childhood asthma in contemporary Lanzhou.
The prevalence of asthma and that of asthma-related symptoms were lower in 2017 than in 1994-1995 in school children living in Lanzhou. In 2017 with increased urbanization and industrialization, breastfeeding became a significant protective factor and household mold was a significant risk factor for asthma diagnosis and asthma-related symptoms. Promoting breastfeeding and household mold control is recommended to reduce the risk of childhood asthma in contemporary Lanzhou.
Respiratory morbidity and mortality during childhood remains a major challenge for global health. Due to the rapid economic development in Chongqing, we expect substantial temporal changes in respiratory health status and environmental risk factors in children. By leveraging a historical dataset, this study aims to assess the changes in prevalence of respiratory symptoms and diseases, residential exposure factors, and their associations in school-age children over a period of 25 years.
This study involved two cross-sectional surveys conducted in Chongqing with a 25-year interval (2017
1993). Purpose sampling was used to conduct questionnaire surveys on school-age children in both surveys. Information collected include children's respiratory health outcomes, family residential exposures, demographic information, and parental respiratory disease history. The changes of residential exposures as well as demographics were determined by chi-square test. Odds ratios were calculated to compare the prevalence oespiratory diseases in the 2017 study.
Our study found improvement of residential exposures in Chongqing, a decline of prevalence of children's wheezing but an increase of that of bronchitis from 1993 to 2017. Poor kitchen ventilation, heating in winter, and parental smoking were significant risk factors in the 1993 survey but, with significantly reduced prevalence in 2017, were not significantly associated with children's respiratory morbidity in the latter survey.
Our study found improvement of residential exposures in Chongqing, a decline of prevalence of children's wheezing but an increase of that of bronchitis from 1993 to 2017. Poor kitchen ventilation, heating in winter, and parental smoking were significant risk factors in the 1993 survey but, with significantly reduced prevalence in 2017, were not significantly associated with children's respiratory morbidity in the latter survey.
Indoor environment is complex, with many factors potentially interacting with each other to affect health. However, previous studies have usually focused on effect of a single factor. Assessment of the combined effects of multiple factors can help with understanding the overall health risk.
A cross-sectional study was conducted among 2,306 school children in Guangzhou and Shenzhen. Questionnaire data on respiratory symptoms and diseases were collected along with sociodemographic and residential environmental information. A subset of children (N=987) were measured for their lung function. A random forest algorithm was applied to screen the top-ranked indoor environmental exposure variables and to form a composite index for cumulative risk of indoor pollution (CRIP). Logistic regressions were conducted to analyze the independent effect of single indoor environmental risk factors and the combined effect of CRIP on children's respiratory health. Multiple linear regressions were used to examine the independentr Delta, home dampness and the presence of mold as well as ETS were individual risk factors for children's respiratory health. The composite CRIP index was associated with respiratory symptoms and lung function, suggesting the utility of this index for predicting the combined effects of multiple risk factors.
The prevalence of certain respiratory diseases of children in China appears to be on the rise in recent decades. This study aims to explore residential environmental factors that may affect respiratory diseases and lung function of children and to assess the effects of lifestyle (diet and exercise) on lung function.
The study was conducted in Chongqing, southwest of China in June, 2017. Information on respiratory diseases was obtained from 2,126 primary school children through a family questionnaire by purposive sampling. In addition, a random sample of 771 children participating in the family-questionnaire was selected for physical measurements and lung function test as well as lifestyle questionnaire survey. Chi-square test and multivariate logistic regressions were used to analyze the relationship between indoor environment and children's respiratory diseases. The effects of indoor environment and lifestyle on lung function indices were analyzed by t-test, variance analysis, and univariate and multivariate linear regression methods.
