The Effects of Long-Term Training of Aerobic Exercise on Some Risk Factors of Cardiovascular Disease

1990 ◽  
Vol 20 (2) ◽  
pp. 226 ◽  
Author(s):  
Bong-Yul Huh ◽  
Chul-Joon Kim
PLoS ONE ◽  
2016 ◽  
Vol 11 (8) ◽  
pp. e0158547 ◽  
Author(s):  
Mette Korshøj ◽  
Mark Lidegaard ◽  
Peter Krustrup ◽  
Marie Birk Jørgensen ◽  
Karen Søgaard ◽  
...  

2021 ◽  
Author(s):  
Rachel G. Miller ◽  
Trevor J. Orchard ◽  
Tina Costacou

<b>Objective:</b> We hypothesized that there is heterogeneity in long-term patterns of glycemic control with respect to cardiovascular disease (CVD) development in type 1 diabetes and that risk factors for CVD differ by glycemic control pattern. Thus, we estimated associations between data-derived latent HbA1c trajectories and 30-year CVD risk in the Pittsburgh Epidemiology of Diabetes Complications (EDC) study of childhood-onset (<17 years old) type 1 diabetes.<b> </b> <p><b>Research Design and Methods: </b>Participants (n=536 with ≥2 HbA1c measurements [median 6] and CVD-free at baseline; mean age 27 and diabetes duration 18 years) were followed from 1986-88 to 2016-18 to ascertain CVD incidence (CVD death, myocardial infarction, stroke, coronary revascularization or blockage ≥50%, ischemic ECG, or angina). Latent HbA1c trajectories and their association with time-to-CVD incidence were simultaneously assessed using Joint Latent Class Mixed Models.</p> <p><b>Results:</b> Two HbA1c trajectories with respect to differential CVD risk were identified: Low (HbA1c ~8% [64 mmol/mol] and improving over follow-up, 76% of cohort) and High (HbA1c ~10% [86 mmol/mol] and stable, 24%). Overall, 30-year CVD incidence was 47.4% (n=253); MACE incidence 31.0% (n=176). High HbA1c was associated with 3-fold increased CVD risk versus Low HbA1c. Both groups had similar age and diabetes duration. Non-HDLc and estimated glomerular filtration rate were associated with CVD risk only in Low HbA1c; albumin excretion rate was associated with CVD risk only in High HbA1c.<b> </b></p> <p><b>Conclusions: </b>These risk factor differences suggest that pathways to CVD may differ by glycemic control, potentially resulting in important implications for prognosis in type 1 diabetes.</p>


2019 ◽  
Vol 2 (3) ◽  
pp. e190318 ◽  
Author(s):  
Bo-Yi Yang ◽  
Yuming Guo ◽  
Iana Markevych ◽  
Zhengmin (Min) Qian ◽  
Michael S. Bloom ◽  
...  

2018 ◽  
Vol 36 (21) ◽  
pp. 2135-2144 ◽  
Author(s):  
Saro H. Armenian ◽  
Gregory T. Armstrong ◽  
Gregory Aune ◽  
Eric J. Chow ◽  
Matthew J. Ehrhardt ◽  
...  

Cardiovascular disease (CVD), which includes cardiomyopathy/heart failure, coronary artery disease, stroke, pericardial disease, arrhythmias, and valvular and vascular dysfunction, is a major concern for long-term survivors of childhood cancer. There is clear evidence of increased risk of CVD largely attributable to treatment exposures at a young age, most notably anthracycline chemotherapy and chest-directed radiation therapy, and compounded by traditional cardiovascular risk factors accrued during decades after treatment exposure. Preclinical studies are limited; thus, it is a high priority to understand the pathophysiology of CVD as a result of anticancer treatments, taking into consideration the growing and developing heart. Recently developed personalized risk prediction models can provide decision support before initiation of anticancer therapy or facilitate implementation of screening strategies in at-risk survivors of cancer. Although consensus-based screening guidelines exist for the application of blood and imaging biomarkers of CVD, the most appropriate timing and frequency of these measures in survivors of childhood cancer are not yet fully elucidated. Longitudinal studies are needed to characterize the prognostic importance of subclinical markers of cardiovascular injury on long-term CVD risk. A number of prevention trials across the survivorship spectrum are under way, which include primary prevention (before or during cancer treatment), secondary prevention (after completion of treatment), and integrated approaches to manage modifiable cardiovascular risk factors. Ongoing multidisciplinary collaborations between the oncology, cardiology, primary care, and other subspecialty communities are essential to reduce therapeutic exposures and improve surveillance, prevention, and treatment of CVD in this high-risk population.


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