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The association between manganese (Mn) and metabolic syndrome (MetS) is unclear, and no prior study has studied this association longitudinally. The aim of this study was to assess longitudinal associations of Mn exposure with MetS and metabolic outcomes. We used data from the San Luis Valley Diabetes Study (SLVDS), a prospective cohort from rural Colorado with data collected from 1984−1998 (n = 1478). Urinary Mn was measured at baseline (range = 0.20−42.5 µg/L). We assessed the shape of the cross-sectional association between Mn and MetS accounting for effect modification by other metals at baseline using Bayesian kernel machine regression. We assessed longitudinal associations between baseline quartiles of Mn and incident MetS using Fine and Gray competing risks regression models (competing risk = mortality) and between quartiles of Mn and metabolic outcomes using linear mixed effects models. We did not observe evidence that quartiles of Mn were associated with incident MetS (p-value for trend = 0.52). Quartiles of Mn were significantly associated with lower fasting glucose (p-value for trend < 0.01). Lead was found to be a possible effect modifier of the association between Mn and incident MetS. Mn was associated with lower fasting glucose in this rural population. Our results support a possible beneficial effect of Mn on diabetic markers.
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http://dx.doi.org/10.3390/nu14204271 | DOI Listing |
Nutr Metab Cardiovasc Dis
June 2025
Laboratory of Clinical Analysis and Genomics, Department of Nutrition and Health, Universidade Federal de Viçosa (UFV), Viçosa, MG, Brazil; Laboratory of Energy Metabolism and Body Composition, Department of Nutrition and Health, Universidade Federal de Viçosa (UFV), Viçosa, MG, Brazil. Electron
Background And Aims: Skipping breakfast has been associated with MetS as well as depression. Our aim was to evaluate the association between skipping breakfast and the incidence of MetS in Brazilian adults as well as the potential interaction with depression in this relationship.
Methods And Results: This longitudinal study included 4.
Medicine (Baltimore)
August 2025
Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
The ZJU index, an innovative metabolic marker, combines triglycerides, fasting plasma glucose, body mass index, and the ratio of alanine aminotransferase to aspartate aminotransferase. This study examines how ZJU index variations correlate with all-cause mortality risk in US adults with metabolic syndrome (MetS). Data were obtained from 6020 individuals with MetS, extracted from the 2005-2018 National Health and Nutrition Examination Survey dataset, and linked to the National Death Index.
View Article and Find Full Text PDFMedicine (Baltimore)
August 2025
Department of Community and Family Medicine, China Medical University Hospital, Taichung, Taiwan.
Nonalcoholic fatty liver disease (NAFLD) and obesity are risk factors for metabolic syndrome (MetS). Interaction between NAFLD and obesity might deteriorate the probability of MetS. We aim to evaluate the nonobese NAFLD for the risk of MetS compared with obese non-NAFLD.
View Article and Find Full Text PDFLancet Reg Health Eur
September 2025
Institute for Stroke and Dementia Research (ISD), LMU University Hospital, LMU Munich, Munich, Germany.
Background: Stroke survivors frequently experience subsequent cognitive impairment or dementia. We aimed to identify risk factors for post-stroke dementia (PSD) and cognitive impairment (PSCI) within 5 years after stroke.
Methods: The DEMDAS (German Center for Neurological Diseases (DZNE) mechanisms of dementia after stroke) study is a prospective cohort of stroke patients admitted to six German tertiary stroke centres between May 1, 2011 and January 31, 2019.
Diabetol Metab Syndr
August 2025
Department of Biostatistics, School of Public Health, Peking University, 38 Xueyuan Rd, Haidian District, Beijing, 100191, China.
Background: Insulin resistance (IR) is an established independent risk factor for cardiovascular disease (CVD). Although numerous simple surrogate indicators for IR have been proposed, their comparative predictive utility for CVD remains unclear. This study aimed to evaluate the associations between nine IR surrogate indicators and incident CVD and to comparatively assess their predictive capacities using nationally representative data from China.
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