Literature DB >> 16473256

Cardiometabolic risk assessment: an approach to the prevention of cardiovascular disease and diabetes mellitus.

Abu R Vasudevan1, Christie M Ballantyne.   

Abstract

An alarming increase in the development of cardiovascular disease (CVD) during the past 5 decades has led to intensive research on the epidemiology and pathogenesis of CVD, resulting in dramatic improvements in treatment. Today, there is an alarming increase in obesity and diabetes mellitus (DM), with a concomitant increase in diabetes-related complications, including CVD. Researchers have found that the risk of CVD becomes greater with increasing hyperglycemia and insulin resistance that occur in people long before the onset of clinical DM. Lifestyle modification with moderate weight loss has been shown to prevent or delay the onset of DM in patients who are at high risk for developing this disease. Unfortunately, the current guidelines for risk assessment provided by medical societies and national organizations are numerous, confusing, and inconsistent in their basic approach to identify specific risk factors for CVD and DM in patients. Extending routine systematic assessment from cardiovascular risk to cardiometabolic risk--that is, risk for developing CVD and/or DM--and increasing our understanding of the basic mechanisms that regulate energy balance and metabolic risk factors are needed to address this impending epidemic of DM.

Entities:  

Mesh:

Year:  2005        PMID: 16473256     DOI: 10.1016/s1098-3597(05)80063-8

Source DB:  PubMed          Journal:  Clin Cornerstone        ISSN: 1873-4480


  16 in total

Review 1.  Association between sleep deficiency and cardiometabolic disease: implications for health disparities.

Authors:  Vittobai Rashika Rangaraj; Kristen L Knutson
Journal:  Sleep Med       Date:  2015-03-23       Impact factor: 3.492

2.  COVID-19: A Personalized Cardiometabolic Approach for Reducing Complications and Costs. The Role of Aging Beyond Topics.

Authors:  J Saban-Ruiz; D Ly-Pen
Journal:  J Nutr Health Aging       Date:  2020-05-12       Impact factor: 4.075

Review 3.  Sleep duration and cardiometabolic risk: a review of the epidemiologic evidence.

Authors:  Kristen L Knutson
Journal:  Best Pract Res Clin Endocrinol Metab       Date:  2010-10       Impact factor: 4.690

4.  Impact of dental health intervention on cardiovascular metabolic risk: a pilot study of Japanese adults.

Authors:  Yoji Yamazaki; Toyoko Morita; Kumiko Nakai; Yumi Konishi; Ayae Goto; Takashi Yamamoto; Misae Seto; Manami Ozaki; Hideki Tanaka; Masao Maeno; Takayuki Kawato
Journal:  J Hum Hypertens       Date:  2021-05-18       Impact factor: 3.012

Review 5.  Leveraging genetic discoveries for sleep to determine causal relationships with common complex traits.

Authors:  Shilpa Sonti; Struan F A Grant
Journal:  Sleep       Date:  2022-10-10       Impact factor: 6.313

Review 6.  Evidence-based and heuristic approaches for customization of care in cardiometabolic syndrome after spinal cord injury.

Authors:  Mark S Nash; Rachel E Cowan; Jochen Kressler
Journal:  J Spinal Cord Med       Date:  2012-09       Impact factor: 1.985

7.  Sleep, type 2 diabetes, dyslipidemia, and hypertension in elderly Alzheimer's caregivers.

Authors:  Jennifer Schwartz; Matthew A Allison; Sonia Ancoli-Israel; Melbourne F Hovell; Ruth E Patterson; Loki Natarajan; Simon J Marshall; Igor Grant
Journal:  Arch Gerontol Geriatr       Date:  2013-03-20       Impact factor: 3.250

8.  Cardiometabolic syndrome and its association with education, smoking, diet, physical activity, and social support: findings from the Pennsylvania 2007 BRFSS Survey.

Authors:  Longjian Liu; Ana E Núñez
Journal:  J Clin Hypertens (Greenwich)       Date:  2010-07-01       Impact factor: 3.738

9.  Assessing the prevalence of the Metabolic Syndrome according to NCEP ATP III in Germany: feasibility and quality aspects of a two step approach in 1550 randomly selected primary health care practices.

Authors:  Susanne Moebus; Jens Ulrich Hanisch; Markus Neuhäuser; Pamela Aidelsburger; Jürgen Wasem; Karl-Heinz Jöckel
Journal:  Ger Med Sci       Date:  2006-10-09

Review 10.  Glycosylation Biomarkers Associated with Age-Related Diseases and Current Methods for Glycan Analysis.

Authors:  Beatrix Paton; Manuel Suarez; Pol Herrero; Núria Canela
Journal:  Int J Mol Sci       Date:  2021-05-28       Impact factor: 5.923

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.