scholarly journals Outdoor Air Pollution and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis

2019 ◽  
Author(s):  
Mohamed H. ELSHAHIDI
Keyword(s):  
Diabetes Mellitus ◽  
Air Pollution ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Meta Analysis ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Cochrane Library ◽  
Ambient Air Pollutants ◽  
Race Ethnicity

Background: During the past 20 years, the prevalence of gestational diabetes mellitus (GDM) has increased by ∼10%-100% in several race/ethnicity groups. There is an association between ambient air pollution (AAP) and GDM. This study aimed to summarize the evidence about the association between AAP and GDM. Methods: PubMed, Embase, Scopus, Web of Science and Cochrane Library were searched from inception till Oct 2017. Studies about the association between ambient air pollutants levels and GDM were included. Pooled effect estimates and their 95% confidence interval (CI) were calculated using R. Results: Eight studies met the inclusion criteria. The odds of developing GDM upon exposure to CO (per 1 ppm), NO (per 1 ppb), NO2 (per 10 µg/m3), NOx (per 1 ppb), O3 (per 10 ppb), SO2 (per 10 ppb), PM10 (per 10 µg/m3) and PM2.5 (per 10 µg/m3) were 1.47 (95% CI 0.88-2.06), 1.04 (95% CI 1.03-1.06), 1 (95% CI 0.93-1.08), 1.02 (95% CI 1-1.04), 1.05 (95% CI 0.94-1.16), 1.39 (95% CI 1.04-1.73), 0.97 (95% CI 0.94-0.99) and 1.12 (95% CI 0.93-1.31), respectively. Conclusion: The current literature showed evidence for an association between AAP and GDM. However, further well-designed studies are needed.

Gestational diabetes mellitus and exposure to ambient air pollution and road traffic noise: A cohort study

2017 ◽  
Vol 108 ◽  
pp. 253-260 ◽  
Author(s):  
Marie Pedersen ◽  
Sjurdur F. Olsen ◽  
Thorhallur I. Halldorsson ◽  
Cuilin Zhang ◽  
Dorrit Hjortebjerg ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Air Pollution ◽  
Cohort Study ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Road Traffic ◽  
Traffic Noise ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Road Traffic Noise

scholarly journals Mean Platelet Volume and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Zhongwei Zhou ◽  
Hongmei Chen ◽  
Mingzhong Sun ◽  
Huixiang Ju
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Mean Platelet Volume ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Cochrane Library ◽  
Platelet Volume

Aim. To evaluate the association between mean platelet volume (MPV) and gestational diabetes mellitus (GDM). Methods. A systematic literature search was performed in PubMed, EMBASE, Web of Science, and The Cochrane Library up to 4 September 2017. Pooled standardized mean differences (SMD) and 95% confidence interval (CI) were calculated using a random-effect model. Results. Nineteen studies comprising 1361 GDM patients and 1911 normal pregnant women were included. MPV was increased in GDM patients when compared with healthy pregnant women (SMD: 0.79; 95% CI: 0.43–1.16; P<0.001). Subgroup analyses revealed that such trend was consistent in the third-trimester (SMD: 1.35; 95% CI: 0.72–1.98), Turkish (SMD: 0.81; 95% CI: 0.43–1.19), and Italian (SMD: 2.78; 95% CI: 2.22–3.34) patients with GDM and the patients diagnosed based on Carpenter and Coustan criteria (SMD: 1.04; 95% CI: 0.42–1.65). Significantly higher MPV also were observed within cross-sectional studies (SMD: 0.99; 95% CI: 0.49–1.49). Remarkable between-study heterogeneity and potential publication bias were observed in this meta-analysis; however, sensitivity analysis indicated that the results were not unduly influenced by any single study. Conclusions. GDM patients are accompanied by increased MPV, strengthening the clinical evidence that MPV may be a predictive marker for GDM.

Association between Ambient Air Pollution and Diabetes Mellitus: Systematic Review and Meta-Analysis

2014 ◽  
Vol 2014 (1) ◽  
pp. 1515
Author(s):  
Ikenna Eze* ◽  
Lars Hemkens ◽  
Heiner Bucher ◽  
Barbara Hoffmann ◽  
Christian Schindler ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Air Pollution ◽  
Meta Analysis ◽  
Ambient Air ◽  
Ambient Air Pollution

scholarly journals Association between Ambient Air Pollution and Diabetes Mellitus in Europe and North America: Systematic Review and Meta-Analysis

2015 ◽  
Vol 123 (5) ◽  
pp. 381-389 ◽  
Author(s):  
Ikenna C. Eze ◽  
Lars G. Hemkens ◽  
Heiner C. Bucher ◽  
Barbara Hoffmann ◽  
Christian Schindler ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Air Pollution ◽  
North America ◽  
Meta Analysis ◽  
Ambient Air ◽  
Ambient Air Pollution

scholarly journals Triglyceride glycemic index as a biomarker for gestational diabetes mellitus: a systemic review and meta-analysis

2021 ◽  
Author(s):  
Yusen Liu ◽  
Ruiwen Chi ◽  
Yujie Jiang ◽  
Bicheng Chen ◽  
Youli Chen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Meta Analysis ◽  
Systemic Review ◽  
Cochrane Library ◽  
Healthy Controls ◽  
Second Trimester ◽  
Tyg Index ◽  
Potential Biomarker

Background: Triglyceride glycemic (TyG) index is a novel tool for assessing insulin resistance (IR). Recently, TyG index as a potential biomarker for gestational diabetes mellitus (GDM) has been studied, but its performance is yet inconclusive. Thus, we performed this systemic review and meta-analysis to evaluate the performance of TyG index in predicting GDM. Methods: Studies published before March 1st, 2021 with comparison of TyG index between GDM patients and healthy controls were retrieved from multiple databases (PubMed, Web of Science, The Cochrane Library and Embase). The mean difference (MD) of TyG index in GDM patients and healthy controls were pooled using random-effect models. Results: Differentiation of TyG index between patients with GDM and controls showed significant results. Overall, there is a four-fold increase in TyG index in GDM patients compared with controls (MD: 0.22, 95%CI: 0.07 - 0.36, p = 0.003; I2 = 71%, p = 0.009). In subgroup analyses according to gestational time, TyG index in the second trimester predicted GDM with low heterogeneity (MD: 0.26, 95%CI: 0.15 - 0.37, p < 0.001; I2 = 0%, p = 0.54), while no such correlation was found in the first trimester. Conclusion: TyG index, especially in the second trimester, could be a promising biomarker for predicting GDM.

Sign in / Sign up

Export Citation Format

Share Document