UNASSIGNED: The aim of this study was to evaluate the association of cardiometabolic risk and frailty through a community-based aging cohort in Taiwan In total, 1839 @entity1 ( @entity1 , 47.5%; mean age 63.9        9.3 years) from the first wave of the I-Lan longitudinal cohort study, recruited between August of 2011 and August of 2013, were retrieved for the analysis of this cross-sectional study. Frailty was defined by @entity65 ( @entity65 ) criteria, encompassing un-intentional weight loss, slow walk speed, poor grip strength, exhaustion, and low activity. Comparisons between cardiometabolic risk and frailty status were performed after adjustment for age, hormone parameters, functional measurements, and skeletal muscle mass. Independent association of cardiometabolic risk and frailty status was identified through the multivariate logistic regression model. We found that the prevalence of frailty and pre-frial were 6.8% and 40.5%, respectively. Adjustments for age, blood pressure, low-density lipoprotein @entity165 (LDL-C), @entity414 , @entity1011 , and carotid intima media thickness were not significantly associated with frailty. However, lower total @entity165 and high-density lipoprotein @entity165 (HDL-C), higher high-sensitivity @entity1851 (hsCRP) and glycemia profiles were significantly associated with frailty. For hormone parameters, @entity9027 ( @entity2990 ), @entity442 ( @entity442 ), and free @entity342 index were not significantly associated with frailty after age adjustment. In a multivariate logistic regression model, @entity1144 , homeostasis model assessment of insulin resistance (HOMA-IR), and hsCRP were significantly associated with frailty. The odds ratio (OR) for frailty was 3.57 (95% confidence interval [CI] 1.88-6.78, p   <   0.001), 1.30 (95% CI 1.02-1.66, p   =   0.032), and 1.66 (95% CI 1.10-2.49, p   =   0.016), respectively, in a fully adjusted model. Conversely, higher total @entity165 was associated with a lower prevalence of frailty (OR   =   0.44, 95% CI 0.22-0.89, p   =   0.023) in the final model. In this study, @entity1144 , insulin resistance, and @entity32 were significantly associated with frailty, and the effect was independent of functional measurement and decline of skeletal muscle mass. An integrated approach targeted at cardiometabolic aging and frailty is needed in clinical practice.

Association of Frailty and Cardiometabolic Risk Among Community-Dwelling Middle-Aged and Older XXXX : Results from the I-Lan Longitudinal Aging Study.

@entity1 :: ('9606', 'Species') :: ['men', 'participants'] @entity1851 :: ('1401', 'Gene') :: ['C-reactive protein'] @entity32 :: ('MESH:D007249', 'Disease') :: ['inflammation'] @entity2990 :: ('CHEBI:16814', 'Chemical') :: ['DHEA-S'] @entity442 :: ('3479', 'Gene') :: ['insulin-like growth factor-1', 'IGF-1'] @entity1144 :: ('MESH:D056128', 'Disease') :: ['abdominal obesity'] @entity342 :: ('CHEBI:50113', 'Chemical') :: ['androgen'] @entity9027 :: ('MESH:D019314', 'Chemical') :: ['dehydroepiandrosterone sulfate'] @entity1011 :: ('MESH:D003404', 'Chemical') :: ['creatinine'] @entity65 :: ('MESH:D002318', 'Disease') :: ['CHS', 'Cardiovascular Health Study'] @entity165 :: ('MESH:D002784', 'Chemical') :: ['cholesterol'] @entity414 :: ('MESH:D014527', 'Chemical') :: ['uric acid']
@entity1 :: (9606,Species) :: ['People']
