Literature DB >> 15533270

A substitution model of dietary manipulation is an effective means of optimising lipid profile, reducing C-reactive protein and increasing insulin-like growth factor-1.

Adrian H Heald1, Cheryl Golding, Reena Sharma, Kirk Siddals, Sara Kirk, Clare Lawton, Simon Anderson, J Martin Gibson, Janet E Cade.   

Abstract

There are two key methods in which fat intake may be manipulated; the 'substitution model' and the 'reduction model'. However insufficient information is known about the mechanisms of dietary fat reduction in individuals who have successfully reduced their fat intake, to be clear as to which strategy offers the greatest chance of success. Our objective was to ascertain the most effective dietary intervention for improving cardiovascular risk profile. Eighty female volunteers (high fat consumers) were recruited. Each subject was randomly allocated into one of the following groups. Substitution of high-fat foods was made with reduced-fat products, by the reduction of high-fat foods, by a combination of substitution and reduction strategies, or no advice was given. Each intervention lasted 3 months. Anthropometric measures and fasting blood samples were taken at baseline and follow-up. The substitution intervention resulted in weight loss (mean -1.4 (95 % CI -2.4, -0.2) kg) and reduced percentage body fat (mean -1.3 (95% CI -2.0, -0.5)%). There was no significant weight change with the other interventions. Fasting triacylglycerols (-0.2 (SEM 0.07) mm; P=0.04), cholesterol and C-reactive protein (CRP) levels (0.8 (SEM 0.2) mg/l; P=0.04) fell with the substitution intervention, but not with the other interventions. Insulin-like growth factor-1 increased with both substitution and reduction (P=0.02). There was no significant change in fasting insulin or glucose with any intervention. The substitution model of dietary intervention is effective even over a relatively short interval of time in reducing fasting total cholesterol, triacylglycerols and CRP. Although the group size for the present study was small and involved females only, it has significant implications for population intervention strategies.

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Year:  2004        PMID: 15533270     DOI: 10.1079/bjn20041262

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  4 in total

1.  Dietary fat, fiber, and carbohydrate intake and endogenous hormone levels in premenopausal women.

Authors:  Xiaohui Cui; Bernard Rosner; Walter C Willett; Susan E Hankinson
Journal:  Horm Cancer       Date:  2010-10       Impact factor: 3.869

2.  The impact of IGF-I gene polymorphisms on coronary artery disease susceptibility.

Authors:  Hsiu-Ling Lin; Kwo-Chang Ueng; Hsiang-Ling Wang; Tsung-Po Chen; Shun-Fa Yang; Shu-Chen Chu; Yih-Shou Hsieh
Journal:  J Clin Lab Anal       Date:  2013-02-19       Impact factor: 2.352

Review 3.  Effects of lifestyle measures, antiobesity agents, and bariatric surgery on serological markers of inflammation in obese patients.

Authors:  Konstantinos Tziomalos; Hariklia V Dimitroula; Niki Katsiki; Christos Savopoulos; Apostolos I Hatzitolios
Journal:  Mediators Inflamm       Date:  2010-03-07       Impact factor: 4.711

4.  Diabetes Health, Residence & Metabolism in Asians: the DHRMA study, research into foods from the Indian subcontinent - a blinded, randomised, placebo controlled trial.

Authors:  Jeetesh V Patel; Elizabeth A Hughes; Gregory Y H Lip; Paramjit S Gill
Journal:  BMC Cardiovasc Disord       Date:  2011-12-02       Impact factor: 2.298

  4 in total

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