Mengyang Dai
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Mengyang Dai has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Fangfang Dai
Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, China
1 shared publication - Feng Zhang
Reproductive Medical Center Renmin Hospital of Wuhan University Wuhan Hubei China
1 shared publication - Jianfeng Liu
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430070, China
1 shared publication - Jing Yang
Reproductive Medicine Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
1 shared publication - Min Hu
Department of Gynecology and Obstetrics, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430000, China.
1 shared publication - Rui Qu
Reproductive Medicine Center, Renmin Hospital of Wuhan University, Wuhan 430060, China
1 shared publication
Latest Publications
- Open Access
Air Pollution Exposure and Gestational Diabetes Mellitus Risk: A Retrospective Case–Control Study with Multi-Pollutant Analysis in Wuhan, Hubei Province
Ambient air pollution has been associated with gestational diabetes mellitus (GDM); however, evidence regarding trimester-specific effects from China remains limited. This case–control study study analyzed data from pregnant women who delivered in Wuhan, China, between 2017 and 2022 (164 GDM cases and 731 controls), integrating geographic information, air quality measurements, and maternal characteristics. Using Inverse Distance Weighting interpolation and Generalized Linear Mixed Models (GLMM), we assessed associations between air pollutant exposure and GDM across different gestational periods. Results indicated that NO2 demonstrated the strongest association with GDM compared to other pollutants. Specifically, increased NO2 exposure was consistently associated with higher GDM risk throughout pregnancy. PM2.5 exposure showed significant associations during early and mid-pregnancy, while SO2 exposure was significantly associated with GDM risk exclusively in early pregnancy. Sensitivity analyses stratified by urban maternity status and maternal age revealed the stability of the study’s findings. These findings underscore the importance of reducing air pollution exposure during pregnancy and implementing targeted interventions for high-risk populations to prevent GDM development.
Open AccessAir Pollution Exposure and Gestational Diabetes Mellitus Risk: A Retrospective Case–Control Study with Multi-Pollutant Analysis in Wuhan, Hubei Province
Ambient air pollution has been associated with gestational diabetes mellitus (GDM); however, evidence regarding trimester-specific effects from China remains limited. This case–control study study analyzed data from pregnant women who delivered in Wuhan, China, between 2017 and 2022 (164 GDM cases and 731 controls), integrating geographic information, air quality measurements, and maternal characteristics. Using Inverse Distance Weighting interpolation and Generalized Linear Mixed Models (GLMM), we assessed associations between air pollutant exposure and GDM across different gestational periods. Results indicated that NO2 demonstrated the strongest association with GDM compared to other pollutants. Specifically, increased NO2 exposure was consistently associated with higher GDM risk throughout pregnancy. PM2.5 exposure showed significant associations during early and mid-pregnancy, while SO2 exposure was significantly associated with GDM risk exclusively in early pregnancy. Sensitivity analyses stratified by urban maternity status and maternal age revealed the stability of the study’s findings. These findings underscore the importance of reducing air pollution exposure during pregnancy and implementing targeted interventions for high-risk populations to prevent GDM development.