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Physical Activity Dimensions Associated with Impaired Glucose Metabolism.

ABSTRACT: PURPOSE:Physical activity (PA) is important in the prevention of Type 2 diabetes, yet little is known about the role of specific dimensions of PA, including sedentary time in subgroups at risk for impaired glucose metabolism (IGM). We applied a data-driven decision tool to identify dimensions of PA associated with IGM across age, sex, and body mass index (BMI) groups. METHODS:This cross-sectional study included 1501 individuals (mean (SD) age, 65.6 (6.8) yr) at high risk for Type 2 diabetes from the ADDITION-PRO study. PA was measured by an individually calibrated combined accelerometer and heart rate monitor worn for 7 d. PA energy expenditure, time spent in different activity intensities, bout duration, and sedentary time were considered determinants of IGM together with age, sex, and BMI. Decision tree analysis was applied to identify subgroup-specific dimensions of PA associated with IGM. IGM was based on oral glucose tolerance test results and defined as a fasting plasma glucose level of ?6.1 mmol·L and/or a 2-h plasma glucose level of ?7.8 mmol·L. RESULTS:Among overweight (BMI ?25 kg·m) men, accumulating less than 30 min·d of moderate-to-vigorous PA was associated with IGM, whereas among overweight women, sedentary time was associated with IGM. Among individuals older than 53 yr with normal weight (BMI <25 kg·m), time spent in light PA was associated with IGM. None of the dimensions of PA were associated with IGM among individuals ?53 yr of age with normal weight. CONCLUSIONS:We identified subgroups in which different activity dimensions were associated with IGM. Methodology and results from this study may suggest a preliminary step toward the goal of tailoring and targeting PA interventions aimed at Type 2 diabetes prevention.

SUBMITTER: Amadid H

PROVIDER: S-EPMC5901705 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Physical Activity Dimensions Associated with Impaired Glucose Metabolism.

Amadid Hanan H Johansen Nanna B NB Bjerregaard Anne-Louise AL Vistisen Dorte D Færch Kristine K Brage Søren S Lauritzen Torsten T Witte Daniel R DR Sandbæk Annelli A Jørgensen Marit E ME

Medicine and science in sports and exercise 20171101 11

<h4>Purpose</h4>Physical activity (PA) is important in the prevention of Type 2 diabetes, yet little is known about the role of specific dimensions of PA, including sedentary time in subgroups at risk for impaired glucose metabolism (IGM). We applied a data-driven decision tool to identify dimensions of PA associated with IGM across age, sex, and body mass index (BMI) groups.<h4>Methods</h4>This cross-sectional study included 1501 individuals (mean (SD) age, 65.6 (6.8) yr) at high risk for Type ...[more]

PMID: 28692629

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Project description:BACKGROUND:As a strong platelet agonist on the one hand and key molecule in plasmatic coagulation on the other hand, thrombin connects primary and secondary hemostasis. Thrombin generation potential reflects the individual capacity to generate thrombin, and has been associated with the occurrence of thromboembolic events. In the current study, we sought to identify predictors of thrombin generation potential in patients undergoing angioplasty and stenting for atherosclerotic cardiovascular disease. METHODS:Peak thrombin generation potential and area under the curve (AUC) of thrombin generation potential were determined with a commercially available assay in 315 patients on dual antiplatelet therapy 1 day after percutaneous intervention, and in 100 healthy individuals without cardiovascular disease. RESULTS:Median (interquartile range) peak thrombin generation potential and AUC of thrombin generation potential in the study cohort (n?=?315) were significantly higher than in healthy individuals (n?=?100) without cardiovascular disease (peak thrombin generation potential: 445.4 nM [354.5-551.8 nM] vs. 174.5 nM [141.2-261.2 nM]; AUC of thrombin generation potential: 5262.7 nM thrombin [4806.6-5756.9 nM thrombin] vs. 3405.2 nM thrombin [3043.6-3747.3 nM thrombin]; both p?<?0.001). In patients undergoing angioplasty and stenting, hemoglobin A1c (HbA1c) was the only variable that was independently associated with both, peak thrombin generation potential and AUC of thrombin generation potential (both p???0.007). In contrast, platelet count and high-sensitivity C-reactive protein were only associated with peak thrombin generation potential, and body mass index and serum creatinine were only associated with AUC of thrombin generation potential after adjustment for covariates by multivariate linear regression analyses (all p?<?0.05). Patients with HbA1c???6% had significantly higher peak thrombin generation potential and AUC of thrombin generation potential than patients with HbA1c?<?6% (peak thrombin generation potential: 476.9 nM [385.8-577.9 nM] vs. 423.9 nM [335.8-529.5 nM], p?=?0.002; AUC of thrombin generation potential: 5371.8 nM thrombin [4903 - 5899 nM thrombin] vs. 5172.5 nM thrombin [4731.8-5664.7 nM thrombin], p?=?0.01). HbA1c???6% remained independently associated with both parameters of thrombin generation potential after multivariate linear regression analyses (both p???0.02). CONCLUSIONS:Impaired glucose metabolism is associated with increased thrombin generation potential in patients undergoing angioplasty and stenting for cardiovascular disease.

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Physical Activity Dimensions Associated with Impaired Glucose Metabolism.

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Physical Activity Dimensions Associated with Impaired Glucose Metabolism.

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