Background: The aim of the present study was to summarise the available data about the link between air pollution exposure and the new-onset and severity of psychiatric disorders in pregnant women during the perinatal period.
Materials And Methods: We selected articles published until June 2022 on PubMed and the Web of Science. Pollutants included were PM (particulate matter 2.5 micrometres and smaller), PM (particulate matter 10 micrometres and smaller), NO (nitrogen dioxide), O (ozone), SO (sulphur dioxide), CO (carbon monoxide), PBDEs (polybrominated diphenyl ethers), PFAS (per- and polyfluoroalkyl substances), lead, and cadmium. The perinatal period was considered as the time of pregnancy until one year after childbirth.
Results: Nine studies were included; most of them evaluated the association between exposure to air pollutants and the onset of Postpartum Depression (PPD). Two studies showed an association between, respectively, only PM and both PM and NO exposure and PPD onset 12 months after childbirth, while another study found a significant association between NO exposure and PPD occurrence 6 months after childbirth. PBDE blood levels were associated with more severe depressive symptoms. Lastly, one study observed a link between stressful symptoms and exposure to PM PM during pregnancy.
Conclusion: More comprehensive and uniform studies are required to make a roadmap for future interventions, given the growing relevance of issues such pollution and mental health, particularly during the perinatal period.
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http://dx.doi.org/10.3390/jcm12093146 | DOI Listing |
J Transl Med
January 2025
Research Unit NeuroBiology of Diabetes, Helmholtz Munich, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Background: Obese subjects undergoing weight loss often fear the Yoyo dieting effect, which involves regaining or even surpassing their initial weight. To date, our understanding of such long-term obesity and weight cycling effects is still limited and often based on only short-term murine weight gain and loss studies. This study aimed to investigate the long-term impacts of weight cycling on glycemic control and metabolic health, focusing on adipose tissue, liver, and hypothalamus.
View Article and Find Full Text PDFDiabetol Metab Syndr
January 2025
First Central Clinical Medical Institute, Tianjin Medical University, Tianjin, China.
Background: To identify the relationship between BMI or lipid metabolism and diabetic neuropathy using a Mendelian randomization (MR) study.
Methods: Body constitution-related phenotypes, namely BMI (kg/m), total cholesterol (TC), and triglyceride (TG), were investigated in this study. Despite the disparate origins of these data, all were accessible through the IEU OPEN GWAS database ( https://gwas.
Nutr J
January 2025
Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Background: Chronic kidney disease (CKD) is prevalent among elderly patients with type 2 diabetes mellitus (T2DM). The association between dietary patterns and CKD in elderly T2DM patients remains understudied. This study aimed to investigate the relationship between dietary patterns and CKD in elderly Chinese patients with T2DM.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Cardiology, Tongji Hospital, School of Medicine, Tongji University, No. 389 Xincun Road, Shanghai, 200065, China.
Background: Heavy metal exposure is an emerging environmental risk factor linked to cardiovascular disease (CVD) through its effects on vascular ageing. However, the relationship between heavy metal exposure and vascular age have not been fully elucidated.
Methods: This cross-sectional study analyzed data from 3,772 participants in the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2016.
CNS Neurosci Ther
January 2025
Department of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Objective: This study investigates the association between blood urea nitrogen (BUN) levels and the risk of delirium in critically ill elderly patients without kidney disease.
Methods: A retrospective analysis was conducted using data from the MIMIC-IV database. The relationship between BUN and delirium risk was illustrated through the restricted cubic spline (RCS) method.
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