ABSTRACT
Objective To quantitatively analyze the current status and development trends regarding the land use regression (LUR) models on ambient air pollution studies.Methods Relevant literature from the PubMed database before June 30,2017 was analyzed,using the Bibliographic Items Co-occurrence Matrix Builder (BICOMB 2.0).Keywords co-occurrence networks,cluster mapping and timeline mapping were generated,using the CiteSpace 5.1.R5 software.Relevant literature identified in three Chinese databases was also reviewed.Results Four hundred sixty four relevant papers were retrieved from the PubMed database.The number of papers published showed an annual increase,in line with the growing trend of the index.Most papers were published in the journal of Environmental Health Perspectives.Results from the Co-word cluster analysis identified five clusters:cluster #0 consisted of birth cohort studies related to the health effects of prenatal exposure to air pollution;cluster #1 referred to land use regression modeling and exposure assessment;cluster #2 was related to the epidemiology on traffic exposure;cluster #3 dealt with the exposure to ultrafine particles and related health effects;cluster #4 described the exposure to black carbon and related health effects.Data from Timeline mapping indicated that cluster #0 and #1 were the main research areas while cluster #3 and #4 were the up-coming hot areas of research.Ninety four relevant papers were retrieved from the Chinese databases with most of them related to studies on modeling.Conclusion In order to better assess the health-related risks of ambient air pollution,and to best inform preventative public health intervention policies,application of LUR models to environmental epidemiology studies in Chinashould be encouraged.
ABSTRACT
Objective To quantitatively analyze the current status and development trends regarding the land use regression (LUR) models on ambient air pollution studies.Methods Relevant literature from the PubMed database before June 30,2017 was analyzed,using the Bibliographic Items Co-occurrence Matrix Builder (BICOMB 2.0).Keywords co-occurrence networks,cluster mapping and timeline mapping were generated,using the CiteSpace 5.1.R5 software.Relevant literature identified in three Chinese databases was also reviewed.Results Four hundred sixty four relevant papers were retrieved from the PubMed database.The number of papers published showed an annual increase,in line with the growing trend of the index.Most papers were published in the journal of Environmental Health Perspectives.Results from the Co-word cluster analysis identified five clusters:cluster #0 consisted of birth cohort studies related to the health effects of prenatal exposure to air pollution;cluster #1 referred to land use regression modeling and exposure assessment;cluster #2 was related to the epidemiology on traffic exposure;cluster #3 dealt with the exposure to ultrafine particles and related health effects;cluster #4 described the exposure to black carbon and related health effects.Data from Timeline mapping indicated that cluster #0 and #1 were the main research areas while cluster #3 and #4 were the up-coming hot areas of research.Ninety four relevant papers were retrieved from the Chinese databases with most of them related to studies on modeling.Conclusion In order to better assess the health-related risks of ambient air pollution,and to best inform preventative public health intervention policies,application of LUR models to environmental epidemiology studies in Chinashould be encouraged.
ABSTRACT
The impact of maternal air pollution exposure on offspring health has received much attention. Precise and feasible exposure estimation is particularly important for clarifying exposure-response relationships and reducing heterogeneity among studies. Temporally-adjusted land use regression (LUR) models are exposure assessment methods developed in recent years that have the advantage of having high spatial-temporal resolution. Studies on the health effects of outdoor air pollution exposure during pregnancy have been increasingly carried out using this model. In China, research applying LUR models was done mostly at the model construction stage, and findings from related epidemiological studies were rarely reported. In this paper, the sources of heterogeneity and research progress of meta-analysis research on the associations between air pollution and adverse pregnancy outcomes were analyzed. The methods of the characteristics of temporally-adjusted LUR models were introduced. The current epidemiological studies on adverse pregnancy outcomes that applied this model were systematically summarized. Recommendations for the development and application of LUR models in China are presented. This will encourage the implementation of more valid exposure predictions during pregnancy in large-scale epidemiological studies on the health effects of air pollution in China.