scholarly journals Effects of nopales intake on cardiometabolic disease risk factors among moderately hypercholesterolemic adults (642.4)

2014 ◽  
Vol 28 (S1) ◽  
Author(s):  
Giselle Pereira Pignotti ◽  
Ginger Hook ◽  
Emily Ghan ◽  
Sonia Vega‐López
Keyword(s):  
Risk Factors ◽  
Disease Risk ◽  
Cardiometabolic Disease ◽  
Cardiometabolic Disease Risk

scholarly journals Inflammatory markers are altered in severe mental disorders independent of comorbid cardiometabolic disease risk factors – ERRATUM

2019 ◽  
Vol 49 (10) ◽  
pp. 1758-1758
Author(s):  
Ragni H. Mørch ◽  
Ingrid Dieset ◽  
Ann Færden ◽  
Elina J. Reponen ◽  
Sigrun Hope ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mental Disorders ◽  
Inflammatory Markers ◽  
Disease Risk ◽  
Cardiometabolic Disease ◽  
Severe Mental Disorders ◽  
Cardiometabolic Disease Risk

scholarly journals Hepatic fibrosis associates with multiple cardiometabolic disease risk factors: The Framingham Heart Study

Hepatology ◽  
2020 ◽  
Author(s):  
Michelle T. Long ◽  
Xiaoyu Zhang ◽  
Hanfei Xu ◽  
Ching‐Ti Liu ◽  
Kathleen E. Corey ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hepatic Fibrosis ◽  
Framingham Heart Study ◽  
Disease Risk ◽  
Cardiometabolic Disease ◽  
Heart Study ◽  
Cardiometabolic Disease Risk

Relationship between plasma vitamin D level and cardiometabolic disease risk factors

2012 ◽  
pp. BMP38
Author(s):  
Alaa Badawi ◽  
Bibiana Garcia-Bailo ◽  
Eman Sadoun ◽  
Laura Da Costa ◽  
Paul Arora ◽  
...  
Keyword(s):  
Risk Factors ◽  
Vitamin D ◽  
Disease Risk ◽  
Cardiometabolic Disease ◽  
Plasma Vitamin ◽  
Cardiometabolic Disease Risk

Food and plant bioactives for reducing cardiometabolic disease risk: an evidence based approach

2017 ◽  
Vol 8 (6) ◽  
pp. 2076-2088 ◽  
Author(s):  
Arrigo F. G. Cicero ◽  
Federica Fogacci ◽  
Alessandro Colletti
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Cardiovascular Disease Risk Factors ◽  
Cardiometabolic Disease ◽  
Evidence Based ◽  
Cardiometabolic Disease Risk

Nutraceuticals active on the main cardiovascular disease risk factors.

scholarly journals Modeling Sleep and Adiposity-Associated Cardiometabolic Disease Risk Factors: Protocol for the SLUMBRx Study (Preprint)

2021 ◽  
Author(s):  
Adam Knowlden ◽  
John Higginbotham ◽  
Michael Grandner ◽  
John Allegrante
Keyword(s):  
Risk Factors ◽  
Sleep Duration ◽  
Disease Risk ◽  
Cardiometabolic Disease ◽  
Health Issues ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Adiposity Indices ◽  
The Relationship ◽  
Cardiometabolic Disease Risk

BACKGROUND Obesity and short sleep duration are significant public health issues. Current evidence suggests these conditions are associated with cardiovascular disease, metabolic syndrome, inflammation, and premature mortality. Increased interest in the potential link between obesity and short sleep duration, and its health consequences, has been driven by: 1) the apparent parallel increase in prevalence of both conditions in recent decades; 2) their overlapping association with cardiometabolic outcomes; and 3) the potential causal connection between the two health issues. The Short Sleep Undermines Cardiometabolic Health (SLUMBRx) Study seeks to contribute to the development of a comprehensive adiposity-sleep model, while laying the groundwork for a future program of research that will be designed to prevent and treat adiposity and sleep-related cardiometabolic disease risk factors. OBJECTIVE SLUMBRx addresses four topics pertinent to the adiposity-sleep hypothesis: 1) the relationship between adiposity and sleep duration; 2) sex-based differences in the relationship between adiposity and sleep duration; 3) influence of adiposity indices and sleep duration on cardiometabolic outcomes; and 4) the role of socioecological factors as effect modifiers in the relationship between adiposity indices, sleep, and cardiometabolic outcomes. METHODS SLUMBRx will employ a large-scale survey (n=1,000) that recruits 159 participants (53 normal weight, 53 overweight, and 53 obese) to be assessed in two phases. RESULTS Phase 1, a lab-based study, will gather objective adiposity indices (air displacement plethysmography and anthropometrics) and cardiometabolic data (blood pressure, pulse wave velocity and pulse wave analysis, and blood-based biomarker). Phase 2, a one-week, home-based study, will gather sleep-related data (home sleep testing/sleep apnea, actigraphy, sleep diaries). During Phase 2, detailed demographic and socioecological data will be collected to contextualize hypothesized adiposity and sleep-associated cardiometabolic disease risk factors. Collection and analyses of these data will yield information necessary to customize future observational and intervention research. CONCLUSIONS Precise implementation of the SLUMBRx protocol promises to provide objective, empirical data on the interaction between body composition and sleep duration. The hypotheses that will be tested by SLUMBRx are important for understanding the pathogenesis of cardiometabolic disease and for developing future public health interventions to prevent its conception and treat its consequences. CLINICALTRIAL https://projectreporter.nih.gov/project_info_description.cfm?aid=9822114&icde=45818775

scholarly journals Single-Arm 8-Week Ad Libitum Self-Prepared Paleo Diet Reduces Cardiometabolic Disease Risk Factors in Overweight Adults

2019 ◽  
pp. 155982761986615
Author(s):  
Melissa M. Markofski ◽  
Kristofer Jennings ◽  
Chad Dolan ◽  
Natalie A. Davies ◽  
Emily C. LaVoy ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass ◽  
Dietary Intervention ◽  
Disease Risk ◽  
Cardiometabolic Disease ◽  
Paleo Diet ◽  
Ad Libitum ◽  
Physically Inactive ◽  
Cardiometabolic Disease Risk

The paleo diet is popular among the general population due to promoted weight loss and disease prevention benefits. We examined the effectiveness of a self-administered paleo diet in improving cardiometabolic disease risk factors. Overweight, physically inactive but otherwise healthy adults (males = 4, females = 3, age 32.7 ± 4.9 years, body mass index [BMI] 29.4 ± 2.4 kg/m2) habitually eating a traditional Western diet (1853.4 ± 441.2 kcal; 34.0% carbohydrate; 41.4% fat; 19.2% protein) completed an ad libitum self-administered paleo diet for 8 weeks. Height, weight, blood pressure, and a fasting blood sample were collected pre– and post–paleo dietary intervention. Blood samples were analyzed for fasting cardiometabolic disease biomarkers—including brain-derived neurotropic factor (BDNF), fibroblast growth factor (FGF) 21, and leptin. After 8 weeks, body mass (−5.3 kg, P = .008), BMI (−1.7 kg/m2, P = .002), serum leptin (−56.2%, P = .012), serum FGF21 (−26.7%, P = .002), and serum BDNF (−25.8%, P = .045) significantly decreased. Systolic and diastolic blood pressure were unchanged following the paleo dietary intervention ( P > .05). Average energy intake (−412.6 kcal, P = .016) significantly decreased with the paleo dietary intervention mostly due to a reduction in carbohydrate consumption (−69.2 g; P = .003). An 8-week self-administered paleo dietary intervention was effective in improving cardiometabolic disease risk factors in a healthy, physically inactive overweight adult population.

scholarly journals Ethnic group differences in cardiometabolic disease risk factors independent of body mass index among American youth

Obesity ◽  
2013 ◽  
Vol 21 (3) ◽  
pp. 424-428 ◽  
Author(s):  
Sarah E. Messiah ◽  
Kristopher L. Arheart ◽  
Gabriela Lopez-Mitnik ◽  
Steven E. Lipshultz ◽  
Tracie L. Miller
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Ethnic Group ◽  
Body Mass ◽  
Disease Risk ◽  
Cardiometabolic Disease ◽  
Group Differences ◽  
Ethnic Group Differences ◽  
Cardiometabolic Disease Risk

scholarly journals Cognitive function and cardiometabolic disease risk factors in rural South Africa: baseline evidence from the HAALSI study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Brian Houle ◽  
Thomas Gaziano ◽  
Meagan Farrell ◽  
F. Xavier Gómez-Olivé ◽  
Lindsay C. Kobayashi ◽  
...  
Keyword(s):  
Risk Factors ◽  
South Africa ◽  
Cognitive Function ◽  
Cardiometabolic Risk ◽  
Disease Risk ◽  
Cardiometabolic Risk Factors ◽  
Cardiometabolic Disease ◽  
Rural South ◽  
Rural South Africa ◽  
Cardiometabolic Disease Risk

Abstract Background Evidence on cognitive function in older South Africans is limited, with few population-based studies. We aimed to estimate baseline associations between cognitive function and cardiometabolic disease risk factors in rural South Africa. Methods We use baseline data from “Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa” (HAALSI), a population-based study of adults aged 40 and above in rural South Africa in 2015. Cognitive function was measured using measures of time orientation, immediate and delayed recall, and numeracy adapted from the Health and Retirement Study cognitive battery (overall total cognitive score range 0–26). We used multiple linear regression to estimate associations between cardiometabolic risk factors (including BMI, hypertension, dyslipidemia, diabetes, history of stroke, alcohol frequency, and smoking status) and the overall cognitive function score, adjusted for potential confounders. Results In multivariable-adjusted analyses (n = 3018; male = 1520; female = 1498; median age 59 (interquartile range 50–67)), cardiometabolic risk factors associated with lower cognitive function scores included: diabetes (b = − 1.11 [95% confidence interval: − 2.01, − 0.20] for controlled diabetes vs. no diabetes); underweight BMI (b = − 0.87 [CI: − 1.48, − 0.26] vs. normal BMI); and current and past smoking history compared to never smokers. Factors associated with higher cognitive function scores included: obese BMI (b = 0.74 [CI: 0.39, 1.10] vs. normal BMI); and controlled hypertension (b = 0.53 [CI: 0.11, 0.96] vs. normotensive). Conclusions We provide an important baseline from rural South Africa on the associations between cardiometabolic disease risk factors and cognitive function in an older, rural South African population using standardized clinical measurements and cut-offs and widely used cognitive assessments. Future studies are needed to clarify temporal associations as well as patterns between the onset and duration of cardiometabolic conditions and cognitive function. As the South African population ages, effective management of cardiometabolic risk factors may be key to lasting cognitive health.

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