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 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 Weight Loss Efficacy of 4-Hour Versus 6-Hour Time Restricted Feeding in Adults with Obesity

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 584-584
Author(s):  
Sofia Cienfuegos ◽  
Kelsey Gabel ◽  
Faiza Kalam ◽  
Mark Ezpeleta ◽  
Vasiliki Pavlou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Disease ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Weight Loss ◽  
Body Weight ◽  
Fat Mass ◽  
Disease Risk ◽  
Metabolic Disease Risk ◽  
Ad Libitum

Abstract Objectives This study was undertaken to compare the effects of 4-h TRF to that of 6-h TRF on body weight, body composition, and metabolic disease risk factors in adults with obesity. We hypothesized that 4-h TRF would produce the greatest decreases in body weight, fat mass, blood pressure, and insulin resistance, compared to 6-h TRF. Methods Adults with obesity (n = 49) were randomized to 1 of 3 interventions for 8 weeks: 4-h TRF (ad libitum eating between 3:00 to 7:00 pm, water fasting between 7:00 to 3:00 pm); 6-h TRF (ad libitum eating between 1:00 to 7:00 pm, water fasting between 7:00 to 1:00 pm); or control (ad libitum food intake with no timing restrictions). Results Body weight decreased similarly in the 4-h TRF group (–3.3 ± 0.5%) and 6-h TRF group (–2.6 ± 0.5%) relative to controls over 8 weeks (P < 0.001). Fat mass, blood pressure and insulin sensitivity also decreased in the 4-h TRF and 6-h TRF groups versus controls. LDL cholesterol, HDL cholesterol, triglycerides, fasting glucose, and HbA1c were not significantly different from controls after 8 weeks. Conclusions This is the first trial to examine the effects of 4-h vs. 6-h TRF on body weight and metabolic disease risk factors. We show here that 8 weeks of 4-h and 6-h TRF decreases body weight by ∼3–4% relative to controls. We also demonstrate that this fasting regimen produces significant reductions in blood pressure, fat mass, insulin and insulin resistance. These preliminary data offer promise for the use of 4-h and 6-h TRF as a weight loss techniques in adults with obesity, but larger, longer-term trials are needed to confirm these findings. Funding Sources Department of Kinesiology and Nutrition, University of Illinois Chicago

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

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