Aims: To evaluate the association between the exposure of particulate matter with an aerodynamic diameter of ≤ 2.5μm (PM) and with an aerodynamic diameter of ≤ 10μm (PM) over the first trimester and the risk of gestational diabetes mellitus (GDM), and to assess whether maternal pre-pregnancy body mass index (BMI) modified the GDM risk.
Methods: All Finnish primiparous women without previously diagnosed diabetes who delivered between 2009 and 2015 in the city of Vantaa, Finland, composed the study cohort (N = 6189). Diagnosis of GDM was based on a standard 75 g 2-hour oral glucose tolerance test. The average daily concentration of PM and PM over the first trimester was calculated individually for each woman. The relationship between exposure of PM and PM and GDM was analyzed with logistic models.
Results: No association was observed between the average daily concentrations of PM and PM over the first trimester and the GDM risk. When simultaneously taking BMI and PM into account both mean daily PM concentration (p = 0.047) and pre-pregnancy BMI (p = 0.016) increased GDM risk independently and an interaction (p = 0.013) was observed between PM concentration and pre-pregnancy BMI.
Conclusions: Even globally low PM exposure level together with elevated maternal pre-pregnancy BMI seems to increase the GDM risk.
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http://dx.doi.org/10.1016/j.pcd.2022.11.012 | DOI Listing |
Front Nutr
December 2024
School of Nursing, Fujian Medical University, Fuzhou, China.
Background: Cholesterol is essential for pregnant women to maintain maternal health and fetal support development. This study aimed to assess the cholesterol intake of women with gestational diabetes mellitus (GDM) during the second and third trimesters of pregnancy and to explore its effects on blood glucose and pregnancy outcomes.
Methods: This prospective cohort study collected dietary data using a food frequency questionnaire (FFQ) administered during the 24-30 gestational weeks (first survey) and the 34-42 gestational weeks (second survey).
Front Endocrinol (Lausanne)
December 2024
Department of Public Health, and Department of Anesthesiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Backgrounds: Many pregnant women suffer from more than one pregnancy complication. However, whether those women experienced a higher risk of adverse birth outcomes is unclear. This study aims to assess the association between the comorbidity of gestational diabetes mellitus (GDM) and hypertension disorders of pregnancy (HDP) and adverse birth outcomes.
View Article and Find Full Text PDFBMJ Open
December 2024
Kolling Institute, Northern Sydney Local Health District, St Leonards, New South Wales, Australia.
Introduction: The incidence of gestational diabetes mellitus (GDM) in Australia has tripled in the last 20 years. Consequently, over 40 000 pregnancies are now diagnosed as 'higher risk' each year. This has increased antenatal surveillance and obstetric intervention, often in the form of delivery earlier than 39 weeks gestation.
View Article and Find Full Text PDFAsia Pac J Public Health
December 2024
University Center for Research and Development, Chandigarh University, Mohali, India.
Gestational diabetes mellitus (GDM) is a major global health concern, affecting maternal and child health. Although genetic predispositions and individual medical histories are well-recognized risk factors, emerging research suggests a significant impact of external factors like neighborhood socioeconomic characteristics. This study systematically reviews and meta-analyzes the association between neighborhood deprivation and GDM incidence.
View Article and Find Full Text PDFImplement Sci
December 2024
Center for Global Health, Weill Cornell Medicine, New York, NY, USA.
Background: A central goal of implementation science is to generate insights that allow evidence-based practices to be successfully applied across diverse settings. However, challenges often arise in preserving programs' effectiveness outside the context of their intervention development. We propose that qualitative data can inform generalizability via elucidating mechanisms of an intervention.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!