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A diet based on multiple functional concepts improves cardiometabolic risk parameters in healthy subjects

BACKGROUND: Different foods can modulate cardiometabolic risk factors in persons already affected by metabolic alterations. The objective of this study was to assess, in healthy overweight individuals, the impact of a diet combining multiple functional concepts on risk markers associated with cardio...

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Detalles Bibliográficos
Autores principales: Tovar, Juscelino, Nilsson, Anne, Johansson, Maria, Ekesbo, Rickard, Åberg, Ann-Margreth, Johansson, Ulla, Björck, Inger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3361470/
https://www.ncbi.nlm.nih.gov/pubmed/22472183
http://dx.doi.org/10.1186/1743-7075-9-29
Descripción
Sumario:BACKGROUND: Different foods can modulate cardiometabolic risk factors in persons already affected by metabolic alterations. The objective of this study was to assess, in healthy overweight individuals, the impact of a diet combining multiple functional concepts on risk markers associated with cardiometabolic diseases (CMD). METHODS: Fourty-four healthy women and men (50-73 y.o, BMI 25-33, fasting glycemia ≤ 6.1 mmol/L) participated in a randomized crossover intervention comparing a multifunctional (active) diet (AD) with a control diet (CD) devoid of the "active" components. Each diet was consumed during 4 wk with a 4 wk washout period. AD included the following functional concepts: low glycemic impact meals, antioxidant-rich foods, oily fish as source of long-chain omega-3 fatty acids, viscous dietary fibers, soybean and whole barley kernel products, almonds, stanols and a probiotic strain (Lactobacillus plantarum Heal19/DSM15313). RESULTS: Although the aim was to improve metabolic markers without promoting body weight loss, minor weight reductions were observed with both diets (0.9-1.8 ± 0.2%; P < 0.05). CD did not modify the metabolic variables measured. AD promoted significant changes in total serum cholesterol (-26 ± 1% vs baseline; P < 0.0001), LDL-cholesterol (-34 ± 1%; P < 0.0001), triglycerides (-19 ± 3%; P = 0.0056), LDL/HDL (-27 ± 2%; P < 0.0001), apoB/apoA1 (-10 ± 2%; P < 0.0001), HbA(1c )(-2 ± 0.4%; P = 0.0013), hs-CRP (-29 ± 9%; P = 0.0497) and systolic blood pressure (-8 ± 1%¸ P = 0.0123). The differences remained significant after adjustment for weight change. After AD, the Framingham cardiovascular risk estimate was 30 ± 4% (P < 0.0001) lower and the Reynolds cardiovascular risk score, which considers CRP values, decreased by 35 ± 3% (P < 0.0001). CONCLUSION: The improved biomarker levels recorded in healthy individuals following the multifunctional regime suggest preventive potential of this dietary approach against CMD.