scholarly journals Vitamin D, Parathyroid Hormone Levels, and the Prevalence of Metabolic Syndrome in Community-Dwelling Older Adults: Response to Reis et al.

Diabetes Care ◽  
2007 ◽  
Vol 30 (12) ◽  
pp. e135-e135 ◽  
Author(s):  
G. Lippi ◽  
M. Montagnana ◽  
G. Targher ◽  
G. C. Guidi
Keyword(s):  
Older Adults ◽  
Metabolic Syndrome ◽  
Vitamin D ◽  
Parathyroid Hormone ◽  
Community Dwelling ◽  
Hormone Levels ◽  
Community Dwelling Older Adults

scholarly journals Vitamin D, Parathyroid Hormone Levels, and the Prevalence of Metabolic Syndrome in Community-Dwelling Older Adults

Diabetes Care ◽  
2007 ◽  
Vol 30 (6) ◽  
pp. 1549-1555 ◽  
Author(s):  
J. P. Reis ◽  
D. von Muhlen ◽  
D. Kritz-Silverstein ◽  
D. L. Wingard ◽  
E. Barrett-Connor
Keyword(s):  
Older Adults ◽  
Metabolic Syndrome ◽  
Vitamin D ◽  
Parathyroid Hormone ◽  
Community Dwelling ◽  
Hormone Levels ◽  
Community Dwelling Older Adults

scholarly journals Serum Parathyroid Hormone but Not Vitamin D Is Associated with Impaired Gait in Community-Dwelling Older Adults

2016 ◽  
Vol 64 (12) ◽  
pp. 2606-2608 ◽  
Author(s):  
Manuel Montero-Odasso ◽  
Ryota Sakurai ◽  
Susan Muir-Hunter ◽  
Anam Islam ◽  
Timothy Doherty ◽  
...  
Keyword(s):  
Older Adults ◽  
Vitamin D ◽  
Parathyroid Hormone ◽  
Community Dwelling ◽  
Serum Parathyroid Hormone ◽  
Community Dwelling Older Adults

scholarly journals Diagnostic Power of Circulatory Metabolic Biomarkers as Metabolic Syndrome Risk Predictors in Community-Dwelling Older Adults in Northwest of England (A Feasibility Study)

Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2275
Author(s):  
Razieh Hassannejad ◽  
Hamsa Sharrouf ◽  
Fahimeh Haghighatdoost ◽  
Ben Kirk ◽  
Farzad Amirabdollahian
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Metabolic Syndrome ◽  
Roc Analysis ◽  
Cross Validation ◽  
Community Dwelling ◽  
Tnf Α ◽  
Diagnostic Power ◽  
Metabolic Biomarkers ◽  
Community Dwelling Older Adults

Background: Metabolic Syndrome (MetS) is a cluster of risk factors for diabetes and cardiovascular diseases with pathophysiology strongly linked to aging. A range of circulatory metabolic biomarkers such as inflammatory adipokines have been associated with MetS; however, the diagnostic power of these markers as MetS risk correlates in elderly has yet to be elucidated. This cross-sectional study investigated the diagnostic power of circulatory metabolic biomarkers as MetS risk correlates in older adults. Methods: Hundred community dwelling older adults (mean age: 68.7 years) were recruited in a study, where their blood pressure, body composition and Pulse Wave Velocity (PWV) were measured; and their fasting capillary and venous blood were collected. The components of the MetS; and the serum concentrations of Interleukin-6 (IL-6), Tumor Necrosis Factor-α (TNF-α), Plasminogen Activator Inhibitor-I (PAI-I), Leptin, Adiponectin, Resistin, Cystatin-C, C-Reactive Protein (CRP), insulin and ferritin were measured within the laboratory, and the HOMA1-IR and Atherogenic Index of Plasma (AIP) were calculated. Results: Apart from other markers which were related with some cardiometabolic (CM) risk, after Bonferroni correction insulin had significant association with all components of Mets and AIP. These associations also remained significant in multivariate regression. The multivariate odds ratio (OR with 95% confidence interval (CI)) showed a statistically significant association between IL-6 (OR: 1.32 (1.06–1.64)), TNF-α (OR: 1.37 (1.02–1.84)), Resistin (OR: 1.27 (1.04–1.54)) and CRP (OR: 1.29 (1.09–1.54)) with MetS risk; however, these associations were not found when the model was adjusted for age, dietary intake and adiposity. In unadjusted models, insulin was consistently statistically associated with at least two CM risk factors (OR: 1.33 (1.16–1.53)) and MetS risk (OR: 1.24 (1.12–1.37)) and in adjusted models it was found to be associated with at least two CM risk factors and MetS risk (OR: 1.87 (1.24–2.83) and OR: 1.25 (1.09–1.43)) respectively. Area under curve (AUC) for receiver operating characteristics (ROC) demonstrated a good discriminatory diagnostics power of insulin with AUC: 0.775 (0.683–0.866) and 0.785 by cross validation and bootstrapping samples for at least two CM risk factors and AUC: 0.773 (0.653–0.893) and 0.783 by cross validation and bootstrapping samples for MetS risk. This was superior to all other AUC reported from the ROC analysis of other biomarkers. Area under precision-recall curve for insulin was also superior to all other markers (0.839 and 0.586 for at least two CM risk factors and MetS, respectively). Conclusion: Fasting serum insulin concentration was statistically linked with MetS and its risk, and this link is stronger than all other biomarkers. Our ROC analysis confirmed the discriminatory diagnostic power of insulin as CM and MetS risk correlate in older adults.

scholarly journals Profile of French community-dwelling older adults supplemented with vitamin D: Findings and lessons

2011 ◽  
Vol 28 (6) ◽  
pp. 483-489 ◽  
Author(s):  
Bruno Fantino ◽  
Olivier Beauchet ◽  
Séverine Savignat ◽  
Béatrice Bouvard ◽  
Erick Legrand ◽  
...  
Keyword(s):  
Older Adults ◽  
Vitamin D ◽  
Community Dwelling ◽  
Community Dwelling Older Adults
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