Applying temporally-adjusted land use regression models to estimate ambient air pollution exposure during pregnancy
10.3760/cma.j.issn.0253-9624.2017.03.015
- VernacularTitle: 时间调整土地利用回归模型用于孕期空气污染暴露评估的研究进展
- Author:
Yujuan ZHANG
1
;
Fengxia XUE
;
Zhipeng BAI
Author Information
1. Department of Family Planning, The Second Hospital of Tianjin Medical University, Tianjin 300211, China
- Publication Type:Review
- Keywords:
Air pollution;
Maternal exposure;
Pregnancy outcome;
Heterogeneity;
Land use regression models
- From:
Chinese Journal of Preventive Medicine
2017;51(3):265-276
- CountryChina
- Language:Chinese
-
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.
