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Objective: To compare alternative Healthy Eating Index (aHEI) scores among residents with or without diabetes in a rural county and analyze food/drink subgroups for notable differences between the 2 groups.
Methods: We performed cross-sectional surveys and validated food frequency questionnaires among rural residents in Sullivan County, New York. We compared total aHEI and component scores between participants with and without diabetes.
Results: The 155 respondents with diabetes were older, less frequently non-Hispanic White, and had higher mean body mass index than the 961 respondents without diabetes. We found lower aHEI scores among participants with diabetes (54.1) than those without (56.7) (P = 0.001). Respondents with diabetes had significantly lower component scores for alcoholic beverages, red meat, nuts/legumes, and trans-fats than those without diabetes.
Conclusions And Implications: Our findings highlight the need for nutrition education in high-risk rural communities. We also identified specific food/drink categories among rural residents with diabetes that should be targeted to improve glycemic control.
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http://dx.doi.org/10.1016/j.jneb.2025.01.011 | DOI Listing |
Liver Int
October 2025
The Global NASH Council, Washington, DC, USA.
Background: The Middle East and North Africa (MENA) region is undergoing demographic shifts potentially increasing metabolic dysfunction-associated steatotic liver disease (MASLD) and its complications. We assessed MASLD prevalence and liver disease burden from 2010 to 2021.
Methods: Data from Global Burden of Disease (GBD), United Nations Population Division and NCD Risk Factor Collaboration covering 21 MENA countries were used for annual percent change (APC) trends per Joinpoint regression.
Front Public Health
September 2025
Emergency Department, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, Shandong, China.
Background: Gestational diabetes mellitus (GDM) prevalence is rising in China, necessitating an understanding of knowledge, attitudes, and practices (KAP) among affected women to inform interventions.
Methods: This cross-sectional study (June 2020-June 2024) surveyed 3,426 Chinese women with GDM, aged 20-60 years, from urban and rural prenatal clinics across Qingdao city, China. A validated 25-item KAP questionnaire used a three-option response format (yes, no, maybe).
Front Public Health
September 2025
Department of Plastic and Reconstructive Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region & Research Center of Medical Sciences, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China.
Background: Obesity is a prevalent and clinically significant complication among individuals with diabetes mellitus (DM), contributing to increased cardiovascular risk, metabolic burden, and reduced quality of life. Despite its high prevalence, the risk factors for obesity within this population remain incompletely understood. With the growing availability of large-scale health datasets and advancements in machine learning, there is an opportunity to improve risk stratification.
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August 2025
Tecnologico de Monterrey, School of Medicine and Health Sciences, 64710 Monterrey, Nuevo León, Mexico.
Introduction: While there is a growing body of evidence indicating a potential connection between Parkinson's disease and diabetes mellitus, there is a lack of focus on investigating how diabetes correlates with the severity of both motor and non-motor symptoms in Parkinson's disease.
Objective: This study examined and contrasted both motor and non-motor symptoms in patients diagnosed with Parkinson's disease, stratified by the presence or absence of diabetes.
Methods: A total of 40 Parkinson's disease patients, divided into two groups (with and without diabetes), were assessed using various scales, including the Movement Disorders Society - Unified Parkinson's Disease Rating Scale, Scales for Outcomes in Parkinson's Disease - Autonomic Dysfunction and Non-Motor Symptoms, Beck Depression Inventory, Montreal Cognitive Assessment, and Parkinson's Disease Questionnaire-39.
Trends Immunol
September 2025
Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia; Department of Cardiometabolic Health, The University of Melbourne, Melbourne, Victoria 3010, Australia. Electronic address:
Neutrophil extracellular trap (NET) formation, or NETosis, is a key innate immune response that contributes to cardiovascular diseases, including vascular inflammation, atherosclerosis, and thrombosis. In the cardiovascular system, neutrophils encounter mechanical cues such as shear stress, matrix stiffness, and cyclic stretch that influence their activation and NET release. This review examines emerging evidence linking altered mechanotransduction to dysregulated NETosis in vascular aging and cardiovascular pathology.
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