Background: Prediabetes is an intermediate metabolic state between euglycaemia and diabetes, including three different definitions: impaired fasting glucose, impaired glucose tolerance, and mildly elevated glycated haemoglobin (HbA1c) (range 5.7%-6.4%). The effect of prediabetes on bone mineral density (BMD) has not been established. Therefore, we performed a meta-analysis to evaluate the association between prediabetes and BMD.
Methods: We retrieved studies related to prediabetes and BMD from PubMed, Web of Science, and Embase databases from January 1990 to December 2022. All data were analysed using the random effects model. Statistical heterogeneity was tested by I . Subgroup analysis was performed after each study-level variable was pre-defined by meta-regression.
Results: A total of 17 studies were included involving 45,788 patients. We detected a significant overall association of prediabetes with increased spine BMD (weighted mean difference [WMD] = 0.01, 95% CI [0.00, 0.02], p = 0.005; I = 62%), femur neck (FN) BMD (WMD = 0.01, 95% CI [0.00, 0.01], p < 0.001; I = 19%), and femur total (FT) BMD (WMD = 0.02, 95% CI [0.01, 0.03], p < 0.001; I = 51%). Several variables leading to heterogeneity were defined by meta-regression, including age, sex, region, study type, dual-energy X-ray absorptiometry scanner manufacturer, and prediabetes definition. Subgroup analyses indicated that the association of prediabetes with increased BMD was stronger in men, Asians, and older adults over 60 years of age.
Conclusions: Current evidence shows that prediabetes is strongly associated with increased BMD of the spine, FN, and FT. The association was stronger among males, Asians, and older adults over 60 years of age.
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http://dx.doi.org/10.1002/dmrr.3691 | DOI Listing |
BMC Endocr Disord
January 2025
Department of Nutrition and Food Safety, School of Public Health, Xi'an Jiaotong University, Xi'an, 710061, China.
Background: The present study aimed to explore the threshold-effect association of serum ferritin levels with type 2 diabetes mellitus (T2DM) and prediabetes mellitus in Chinese adults.
Methods: A total of 8365 people from CHNS a cross-sectional survey in 2009 were finally included. The biomarker data, including major cardiovascular biomarkers and important nutrition biomarkers were collected.
Hellenic J Cardiol
January 2025
Department of Cardiology, the Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, China. Electronic address:
Purpose: To investigate the modifying role of obesity in the association between abnormal glucose metabolism and atrial fibrillation (AF) risk in older individuals.
Methods: From April 2007 to November 2011, 11663 participants aged ≥60 years were enrolled in Shandong area. Glucose metabolic status were determined using fasting plasma glucose and hemoglobin A1c levels, obesity determined using body mass index (BMI), waist-to-hip ratio (WHR), and visceral fat area (VFA).
Clin Nurs Res
January 2025
College of Nursing, University of Tennessee Health Science Center, Memphis, TN, USA.
Atherosclerotic cardiovascular disease (ASCVD) risk calculators estimate the 10-year incident risk of myocardial infarction (MI), coronary artery disease (CAD) death, or stroke; however, they lack comprehensiveness and accuracy. Carotid intima-media thickness (CIMT) is a surrogate marker that may improve risk estimation acumen. The objective of this study was to derive ASCVD risk scores from historical data and determine whether these risk scores are associated with the history of subclinical CAD and CIMT.
View Article and Find Full Text PDFBMC Public Health
January 2025
School of Basic Medical Sciences, Zhejiang Chinese Medical University, No. 548 Binwen Road, Binjiang District, Hangzhou, 310053, China.
Background: Family income to poverty ratio (PIR) may have independent effects on diet and lifestyle factors and the development of prediabetes and diabetes, as well as on mortality. It is unclear how the protective effect of a healthy lifestyle against death differs between individuals with different glucose metabolic profiles and whether PIR mediates this effect. This study aimed to explore whether healthy lifestyle and family PIR reduced the risk of all-cause mortality in participants with different metabolic status and the mediating role of PIR.
View Article and Find Full Text PDFMucosal Immunol
December 2024
Department of Infectious Diseases, Respiratory Medicine and Critical Care, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353 Berlin, Germany; German center for lung research (DZL), Augustenburger Platz 1, 13353 Berlin, Germany. Electronic address:
Diabetes mellitus is associated with an increased risk of pneumonia, often caused by so-called typical and atypical pathogens including Streptoccocus pneumoniae and Legionella pneumophila, respectively. Here, we employed a variety of mouse models to investigate how diabetes influences pulmonary antibacterial immunity. Following intranasal infection with S.
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