scholarly journals Longitudinal relationship of amino acids and indole metabolites with long-term body mass index and cardiometabolic risk markers in young individuals

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Kolade Oluwagbemigun ◽  
Andrea Anesi ◽  
Maria Ulaszewska ◽  
Gerard Clarke ◽  
Ute Alexy ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Amino Acids ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
Risk Markers ◽  
Cardiometabolic Risk Markers ◽  
Relationship Of

scholarly journals Traditional and novel cardiometabolic risk markers across strata of body mass index in young adults

2021 ◽  
Author(s):  
Mia Klinkvort Kempel ◽  
Trine Nøhr Winding ◽  
Vibeke Lynggaard ◽  
Steven Brantlov ◽  
Johan Hviid Andersen ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Young Adults ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
Risk Markers ◽  
Cardiometabolic Risk Markers

Cardiometabolic risk improvement in response to a 3-yr lifestyle modification program in men: contribution of improved cardiorespiratory fitness vs. weight loss

2017 ◽  
Vol 312 (4) ◽  
pp. E273-E281 ◽  
Author(s):  
Anne-Laure Borel ◽  
Julie-Anne Nazare ◽  
Aurélie Baillot ◽  
Natalie Alméras ◽  
Angelo Tremblay ◽  
...  
Keyword(s):  
Physical Activity ◽  
Lifestyle Intervention ◽  
Healthy Eating ◽  
Cardiometabolic Risk ◽  
Liver Fat ◽  
Risk Markers ◽  
Matsuda Index ◽  
Cardiometabolic Risk Markers ◽  
Subcutaneous Adiposity

Our objective was to examine the respective contributions of changes in visceral adiposity, subcutaneous adiposity, liver fat, and cardiorespiratory fitness (CRF) to the improvements in cardiometabolic risk markers in response to a 3-yr healthy eating/physical activity lifestyle intervention. Ninety-four out of 144 viscerally obese healthy men completed a 3-yr lifestyle intervention. Body weight, body composition, and fat distribution were assessed by anthropometry and DEXA/computed tomography. CRF, adipokines, lipoprotein/lipid profile, and 75 g of oral glucose tolerance were assessed. CRF and visceral and subcutaneous adiposity significantly improved over the 3-yr intervention, with a nadir in year 1 and a partial regain in year 3. Liver fat (estimated by insulin hepatic extraction) stabilized from year 1 to year 3, whereas HOMA-IR, ISI-Matsuda index, and adiponectin continued to improve. Multivariate analysis revealed that both visceral adiposity and estimated liver fat reductions contributed to the improved ISI-Matsuda index observed over 3 yr ( r2= 0.28, P < 0.001). Three-year changes in fat mass and CRF were independently associated with changes in visceral fat (adjusted r2= 0.40, P < 0.001), whereas only changes in CRF were associated with changes in estimated liver fat (adjusted r2= 0.18, P < 0.001). A long-term (3 yr) healthy eating/physical activity intervention in men improves several cardiometabolic risk markers over the long term (3 yr) despite a partial body weight regain observed between year 1 and year 3. The improvement in CRF contributes to visceral and estimated liver fat losses over the long term, which in turn explain the benefits of the lifestyle intervention on cardiometabolic risk profile.

scholarly journals Combination of sleep duration, TV time and body mass index is associated with cardiometabolic risk moderated by age in youth

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ana P. Sehn ◽  
Anelise R. Gaya ◽  
Caroline Brand ◽  
Arieli F. Dias ◽  
Roya Kelishadi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Risk Factor ◽  
Sleep Duration ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
High Systolic Blood Pressure ◽  
Television Time ◽  
The Relationship ◽  
Moderating Role

AbstractObjectivesThe combination of sleep duration, television (TV) time and body mass index (BMI) may be related to the alteration of cardiometabolic risk. However, there are few studies that use these variables grouped, and showing the moderating role of age. This study aimed to verify if the combination of sleep duration, TV time and BMI is associated with cardiometabolic risk and the moderating role of age in this relationship in youth.MethodsCross-sectional study conducted with 1411 adolescents (611 male), aged 10–17 years. Sleep duration, TV time and BMI were assessed and grouped into eight categories. Cardiometabolic risk was assessed by a continuous metabolic risk score, including the following variables: low HDL-cholesterol, elevated triglycerides, dysglycemia, high systolic blood pressure, high waist circumference and low cardiorespiratory fitness. Generalized linear models were used to test moderation of age in the relationship between the eight categories of sleep duration/television time/BMI with cardiometabolic risk.ResultsCardiometabolic risk factor showed association with all overweight or obesity independent of sleep time and TV time. Age moderated the relationship between sleep duration/television time/BMI with cardiometabolic risk. This association was stronger in younger adolescents (11 and 13 years), indicating that individuals with inadequate sleep, prolonged TV time and overweight/obesity present higher cardiometabolic risk values when compared to 15-year-old adolescents.ConclusionOverweight/obesity, independently of sleep duration and TV time, is the main risk factor for cardiometabolic disorders in adolescence. When moderated by age, younger adolescents that presented the combination of risk factors had higher cardiometabolic risk.

scholarly journals Long-term body mass index changes in overweight and obese adults and the risk of heart failure, cardiovascular disease and mortality: a cohort study of over 260,000 adults in the UK

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Barbara Iyen ◽  
Stephen Weng ◽  
Yana Vinogradova ◽  
Ralph K. Akyea ◽  
Nadeem Qureshi ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiovascular Disease ◽  
Body Mass Index ◽  
Cohort Study ◽  
Body Mass ◽  
World Health ◽  
Obese Adults ◽  
Bmi Trajectories ◽  
The Impact

Abstract Background Although obesity is a well-recognised risk factor for cardiovascular disease (CVD), the impact of long-term body mass index (BMI) changes in overweight or obese adults, on the risk of heart failure, CVD and mortality has not been quantified. Methods This population-based cohort study used routine UK primary care electronic health data linked to secondary care and death-registry records. We identified adults who were overweight or obese, free from CVD and who had repeated BMI measures. Using group-based trajectory modelling, we examined the BMI trajectories of these individuals and then determined incidence rates of CVD, heart failure and mortality associated with the different trajectories. Cox-proportional hazards regression determined hazards ratios for incident outcomes. Results 264,230 individuals (mean age 49.5 years (SD 12.7) and mean BMI 33.8 kg/m2 (SD 6.1)) were followed-up for a median duration of 10.9 years. Four BMI trajectories were identified, corresponding at baseline, with World Health Organisation BMI classifications for overweight, class-1, class-2 and class-3 obesity respectively. In all four groups, there was a small, stable upwards trajectory in BMI (mean BMI increase of 1.06 kg/m2 (± 3.8)). Compared with overweight individuals, class-3 obese individuals had hazards ratios (HR) of 3.26 (95% CI 2.98–3.57) for heart failure, HR of 2.72 (2.58–2.87) for all-cause mortality and HR of 3.31 (2.84–3.86) for CVD-related mortality, after adjusting for baseline demographic and cardiovascular risk factors. Conclusion The majority of adults who are overweight or obese retain their degree of overweight or obesity over the long term. Individuals with stable severe obesity experience the worst heart failure, CVD and mortality outcomes. These findings highlight the high cardiovascular toll exacted by continuing failure to tackle obesity.

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