We aimed to look at the potential relationship between patterns of protein intake and risk of death in adults with type 2 diabetes. We included 4646 adults with type 2 diabetes participating in NHANES (1999-2018). We estimated intake of proteins from 11 animal- and plant-based food groups and then, used principal component analysis to explore data-driven patterns of protein intake. All-cause mortality was ascertained through linkage to National Death Index until December 31, 2019 (n = 969 deaths). Cox proportional hazard regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). Four dietary protein patterns were identified: "healthy" (high in proteins from legumes, fruits, nuts, seeds, and fish and low in red meat protein), "red meat and egg" (high in red meat and egg proteins and low in fish and poultry proteins), "vegetables/fish" and "dairy/nuts" patterns. The HRs of all-cause mortality for the highest compared to the lowest quartile of "healthy" and "red meat and egg" protein patterns were, respectively, 0.77 (95%CI: 0.62, 0.97; Ptrend = 0.014) and 1.28 (95%CI: 1.06, 1.54; Ptrend = 0.033). Greater adherence to a healthy protein pattern may be associated with a reduced risk of death in patients with type 2 diabetes, while greater adherence to a dietary pattern rich in red meat and egg proteins and low in fish and poultry proteins may be associated with a higher risk.
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http://dx.doi.org/10.1038/s41598-024-76357-2 | DOI Listing |
Confl Health
January 2025
School of Population Health, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Background: Humanitarian crises bring unique, and potentially growing challenges to people with type 1 diabetes (T1D). We aimed to determine, in youth with T1D (mean age (± 1SD) 0-17.9 years) within and coming from humanitarian crises settings (HCS), the reported prevalence that meet international consensus targets for glycaemic, blood pressure and lipid management, and incidence of severe hypoglycaemia or diabetic ketoacidosis.
View Article and Find Full Text PDFBMC Neurol
January 2025
Department of Neurology, Haiyan People's Hospital, Jiaxing City, 314300, Zhejiang Province, China.
Background: Sodium-glucose cotransporter-2(SGLT-2) inhibitors are a newer class of antidiabetic drugs with the increased risk of euglycemic diabetic ketoacidosis(EuDKA). Encephalopathy is a rare but life-threatening event of EuDKA. Due to paradoxically normal or slightly elevated serum glucose levels, it's easy to be mimicked by cerebral infarction, structural brain damage, thus leading to delayed diagnosis and causing seriously irreversible brain injury.
View Article and Find Full Text PDFSci Rep
January 2025
School of Public Health, Ningxia Medical University, Yinchuan, 75004, China.
The aim of this study was to examine the association between homocysteine (Hcy), uric acid (UA) and type 2 diabetes mellitus (T2DM), and to explore whether there was an interaction between Hcy and UA in the development of T2DM. A total of 1250 diabetic patients and 1250 non-diabetic controls were included in this case-control study. Binary logistic regression and interaction analysis were used to evaluate the association between Hcy, UA, and T2DM, and the combined effects of Hcy and UA on T2DM, respectively.
View Article and Find Full Text PDFDiabetes Metab Res Rev
January 2025
Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Department of Biostatistics and Epidemiology, Ministry of Education, School of Public Health, China Medical University, Shenyang, China.
Aims: Stroke is a common diabetic complication, by which the Chinese visceral adiposity index (CVAI) is confirmed as a better predictor of visceral fat. However, the relationship between CVAI change and the stroke risk among patients with diabetes and prediabetes remains unclear. Therefore, we aimed to examine the association of CVAI trajectory with the risk of stroke.
View Article and Find Full Text PDFPrim Care Diabetes
January 2025
Department of Health Services Research, CAPHRI Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands. Electronic address:
Aims: This study aims to analyze prescription patterns of new diabetes medication and assess socioeconomic disparities in their initiation among individuals with T2DM with very high cardiovascular risk.
Methods: Individuals diagnosed with T2DM and very high cardiovascular risk were identified (N = 10,768) based on general practitioner's electronic health record data. SGLT-2is and GLP-1RAs prescription patterns were examined.
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