TY - JOUR
T1 - Traffic-related metrics and adverse birth outcomes
T2 - A systematic review and meta-analysis
AU - Wang, Lijun
AU - Guo, Pengyi
AU - Tong, Hui
AU - Wang, Anxu
AU - Chang, Ying
AU - Guo, Xuemei
AU - Gong, Junming
AU - Song, Congbo
AU - Wu, Lin
AU - Wang, Ting
AU - Hopke, Philip K.
AU - Chen, Xi
AU - Tang, Nai jun
AU - Mao, Hongjun
N1 - Funding Information:
This work was supported by the National Key R&D Program of China (No. 2017YFC0211600 & 2017YFC0211605 ), National Natural Science Foundation of China (No. 81872586 ); National Natural Science Foundation of China (No. 81402653 ), China Postdoctoral Science Foundation funded project (No. 2017M610122 ), the Philosophy and Social Science Foundation of Tianjin, China (No: TJTQ16-006), and the National key research and development program of China (2017YFC0212104). W.LJ. wrote the manuscript. W. LJ, G. PY., G. JM. performed the study selection and data extraction. W. LJ., T. H. and S. CB. carried out the data analysis. W. AX., C.Y. and G. XM. contributed to drafting the manuscript. W. L., W.T. and P.K.H. assisted with manuscript development and editing. C.X., T. NJ. and M. HJ. provided helpful comments and edits. All authors reviewed and commented on the paper. Notely, the work did not refer to human subjects or experimental animals, and has been carried out in accordance with Uniform Requirements for manuscripts submitted to Biomedical journals http://www.nejm.org/general/text/requirements/1.htm .
Funding Information:
This work was supported by the National Key R&D Program of China (No. 2017YFC0211600 & 2017YFC0211605), National Natural Science Foundation of China (No. 81872586); National Natural Science Foundation of China (No. 81402653), China Postdoctoral Science Foundation funded project (No. 2017M610122), the Philosophy and Social Science Foundation of Tianjin, China (No: TJTQ16-006), and the National key research and development program of China (2017YFC0212104). W.LJ. wrote the manuscript. W. LJ, G. PY. G. JM. performed the study selection and data extraction. W. LJ. T. H. and S. CB. carried out the data analysis. W. AX. C.Y. and G. XM. contributed to drafting the manuscript. W. L. W.T. and P.K.H. assisted with manuscript development and editing. C.X. T. NJ. and M. HJ. provided helpful comments and edits. All authors reviewed and commented on the paper. Notely, the work did not refer to human subjects or experimental animals, and has been carried out in accordance with Uniform Requirements for manuscripts submitted to Biomedical journals http://www.nejm.org/general/text/requirements/1.htm.
Publisher Copyright:
© 2020 Elsevier Inc.
PY - 2020/9
Y1 - 2020/9
N2 - Given the inconsistency of epidemiologic evidence for associations between maternal exposures to traffic-related metrics and adverse birth outcomes, this manuscript aims to provide clarity on this topic. Pooled meta-estimates were calculated using random-effects analyses. Subgroup analyses were conducted by study area, study design, and Newcastle-Ottawa quality score (NOS). Funnel plots and Egger's test were conducted to evaluate the publication bias, and Fail-safe Numbers (Fail-safe N) were measured to evaluate the robustness of models. From the initial 740 studies (last search, July 11, 2019), 26 studies were included in our analysis. The pooled odds ratio for the change in small for gestational age associated with per 500 m decrease in the distance to roads was 1.016 (95% CI: 1.004, 1.029). Subgroup analyses revealed significant positive associations between term low birth weight and traffic density in higher-quality literatures with higher NOS [1.060 (95% CI: 1.002, 1.121)], cohort studies [1.020 (95% CI: 1.006, 1.033)], and studies in North America [1.018 (95% CI: 1.005, 1.131)]. The buffer of traffic density made no difference in the effect size. Traffic density seemed to be a better indicator of traffic pollution than the distance to roads.
AB - Given the inconsistency of epidemiologic evidence for associations between maternal exposures to traffic-related metrics and adverse birth outcomes, this manuscript aims to provide clarity on this topic. Pooled meta-estimates were calculated using random-effects analyses. Subgroup analyses were conducted by study area, study design, and Newcastle-Ottawa quality score (NOS). Funnel plots and Egger's test were conducted to evaluate the publication bias, and Fail-safe Numbers (Fail-safe N) were measured to evaluate the robustness of models. From the initial 740 studies (last search, July 11, 2019), 26 studies were included in our analysis. The pooled odds ratio for the change in small for gestational age associated with per 500 m decrease in the distance to roads was 1.016 (95% CI: 1.004, 1.029). Subgroup analyses revealed significant positive associations between term low birth weight and traffic density in higher-quality literatures with higher NOS [1.060 (95% CI: 1.002, 1.121)], cohort studies [1.020 (95% CI: 1.006, 1.033)], and studies in North America [1.018 (95% CI: 1.005, 1.131)]. The buffer of traffic density made no difference in the effect size. Traffic density seemed to be a better indicator of traffic pollution than the distance to roads.
KW - Adverse birth outcomes
KW - Meta-analysis
KW - Preterm birth
KW - Proximity to roads
KW - Small for gestational age
KW - Term low birth weight
KW - Traffic density
KW - Traffic-related metrics
UR - https://www.scopus.com/pages/publications/85085883948
U2 - 10.1016/j.envres.2020.109752
DO - 10.1016/j.envres.2020.109752
M3 - Review article
C2 - 32516633
AN - SCOPUS:85085883948
SN - 0013-9351
VL - 188
JO - Environmental Research
JF - Environmental Research
M1 - 109752
ER -