Among 20 leading global risk factors for years of life lost in 2040, reference forecasts point to three metabolic risks-high blood pressure, high BMI, and high fasting plasma glucose-as being the top risk variables. Building upon these and other risk factors, the concept of metabolic health is attracting much attention in the scientific community. It focuses on the aggregation of important risk factors, which allows the identification of subphenotypes, such as people with metabolically unhealthy normal weight or metabolically healthy obesity, who strongly differ in their risk of cardiometabolic diseases. Since 2018, studies that used anthropometrics, metabolic characteristics, and genetics in the setting of cluster analyses proposed novel metabolic subphenotypes among patients at high risk (eg, those with diabetes). The crucial point now is whether these subphenotyping strategies are superior to established cardiometabolic risk stratification methods regarding the prediction, prevention, and treatment of cardiometabolic diseases. In this Review, we carefully address this point and conclude, firstly, regarding cardiometabolic risk stratification, in the general population both the concept of metabolic health and the cluster approaches are not superior to established risk prediction models. However, both subphenotyping approaches might be informative to improve the prediction of cardiometabolic risk in subgroups of individuals, such as those in different BMI categories or people with diabetes. Secondly, the applicability of the concepts by treating physicians and communication of the cardiometabolic risk with patients is easiest using the concept of metabolic health. Finally, the approaches to identify cardiometabolic risk clusters in particular have provided some evidence that they could be used to allocate individuals to specific pathophysiological risk groups, but whether this allocation is helpful for prevention and treatment still needs to be determined.
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http://dx.doi.org/10.1016/S2213-8587(23)00086-4 | DOI Listing |
Digital health interventions (DHIs), such as apps, websites and wearables, are being presented as solutions or enablers to manage the burden of cardiometabolic disease in healthcare. However, the potential benefits of DHIs may not be reaching the most in-need populations, who may face intersecting barriers to accessing health services and digital solutions. The Digital Interventions for South Asians in Cardiometabolic Disease (DISC) study used a mixed-method approach to focus on people of a South Asian background, a high-risk group for cardiometabolic disease.
View Article and Find Full Text PDFNiger Med J
January 2025
Department of Physiology, Rajasthan University of Health Sciences, Jaipur, India.
Background: Cardiovascular diseases (CVDs) are a group of disorders of the heart and blood vessels. Yoga is a low-cost, easily accessible lifestyle modification program that holds as an approach to decreasing cardiometabolic risk factors and increasing exercise self-efficacy among high-risk subjects. This study aimed to assess the impact of the yogic lifestyle (including diet) on cardiovascular risk scores by using the Framingham (FRS), QRISK3 score, and World Health Organization (WHO) CVD risk prediction charts at baseline, three months, and six months.
View Article and Find Full Text PDFNiger Med J
January 2025
Department Of Medicine, College of Medicine, University of Lagos, Nigeria & Consultant Cardiologist, Lagos University Teaching Hospital, Lagos, Nigeria.
Background: The hypertriglyceridemic waist (HTGW) phenotype was introduced as a means of identifying individuals at risk of developing metabolic syndrome as well as cardiovascular diseases and diabetes. However, studies surrounding the prevalence of the phenotype and its relationship with established markers of cardiometabolic risk, especially in the Nigerian population, remain sparse. This study aimed to determine the prevalence of the HTGW phenotype and explore its relationship with cardiovascular risk markers, namely Castelli Risk Indices I and II (CRI-I and CRI-II), Atherogenic Index of Plasma (AIP) and serum triglyceride-HDL cholesterol ratio (TG/HDL).
View Article and Find Full Text PDFMetabol Open
March 2025
Department of Life and Consumer Sciences, College of Agriculture and Environmental Sciences, University of South Africa, Calabash Building, Office no: 02-047 Florida Campus, 1710, South Africa.
The prevalence of cardiometabolic diseases is rising, and this is fuelled by inflammation, which tends to be worse in individuals with vitamin D (VD) deficiency. While non-steroidal anti-inflammatory interventions are available, they present with coagulation events. Hence, alternative therapy in the form of VD supplements is gaining research interest.
View Article and Find Full Text PDFBMC Nutr
January 2025
Department of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Razi Blvd, Shiraz, 7153675541, Iran.
Background: The link between obesity and cardiometabolic risk has been well recognized. We investigated the association between body fat percentage (BF%), as an appropriate indicator of obesity, and prevalence of cardiometabolic diseases using baseline data of Fasa PERSIAN cohort study.
Methods: The cross-sectional study was performed on data obtained at the first phase of the Fasa cohort study in Iran (n = 4658: M/F: 2154/2504).
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