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Screening and selection of human volunteers at increased cardio-metabolic risk for a dietary intervention study, with particular reference to levels of liver fat.
- Source :
-
Journal of Human Nutrition & Dietetics . Jun2011, Vol. 24 Issue 3, p306-307. 2p. - Publication Year :
- 2011
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Abstract
- Individuals at increased cardio-metabolic (CM) risk have a greater chance of developing diabetes mellitus and suffering premature cardiovascular events. The metabolic syndrome (MetS) is a constellation of risk factors which confer increased CM risk. MetS was originally proposed by Reaven (1998) and the currently accepted definition was agreed by AHA/NHLBI,WH,IASIASO (Alberti et al., 2009). More recently, increased liver fat has been proposed as a marker of CM risk. The aims of this study were to evaluate the inter-relationships between percentage liver fat and established CM risk factors and identify those with MetS. This paper presents a secondary analysis of baseline data from a sample ( n = 37) (56 ± 5.32 years), of overweight men who were at increased CM risk but otherwise healthy,, and recruited into a randomised dietary intervention crossover study to investigate how dietary carbohydrate influences the metabolism of plasma lipoproteins in overweight volunteers with moderately high (>10% <20%) and low (<2%) levels of liver fat. Anthropometric and biochemistry measurements were obtained, and from a sub-sample, the percentage of liver fat by magnetic resonance imaging. The participants were also assigned a metabolic score based on the number of indicators of the MetS according to the AHA/NHLBI, WH, IASIASO definition (Alberti, 2009). Non-parametric statistical analyses was used, as not all variables were normally distributed, there were a number of outliers and a small sample size. Pearson Correlation Co-efficients were used to investigate relationships between continuous and categorical variables. The variables were not adjusted for age or BMI because of a small sample size. Statistical significance was set at P ≤ 0.05 and all analyses were carried out using SPSS 16.0. Fifty nine per cent of the participants had MetS ( n = 21). There was evidence of significant, positive associations between the metabolic score for MetS and total cholesterol:HDL-C ratio ( P = 0.030), and between percentage liver fat and plasma glucose and insulin ( P = 0.010 and P = 0.003 respectively). The percentage of liver fat was also notably higher than that reported in other studies (Yamada et al., 2010; Kotronen et al., 2007) and there was positive correlation between the liver enzyme alanine transaminase (ALT) and plasma insulin ( P = 0.012). The strong associations between established risk factors and liver fat suggest that the latter may be clinically useful as a marker for CM risk in MetS. Alberti, K., Eckel, R., Grundy, S. et al. (2009) Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation, 1640-1645. Kotronen, A., Westerbacka, A., Bergholm, R., Pietilainen, K.H. & Yki-Jarvinen, H. (2007) Liver fat in the metabolic syndrome. J. Clin. Endocrinol. Metab. , 3490-3497. Reaven, G. (1998) Insulin resistance and human disease: a short history. J. Basic Clin. Physiol. Pharmacol., 387-406. Yamada, T., Fukatsu, M., Suzuki, S. et al. (2010) Fatty liver predicts impaired fasting glucose and type 2 diabetes mellitus in Japanese undergoing a health checkup. J. Gastroenterol. Hepatol., 352-356. [ABSTRACT FROM AUTHOR]
- Subjects :
- *LIVER physiology
*ADIPOSE tissues
*ANALYSIS of variance
*ANTHROPOMETRY
*BLOOD sugar
*CARDIOVASCULAR diseases risk factors
*CHOLESTEROL
*CLINICAL trials
*STATISTICAL correlation
*CROSSOVER trials
*FATTY liver
*CARBOHYDRATE content of food
*INSULIN
*LIPOPROTEINS
*MAGNETIC resonance imaging
*MEN'S health
*NONPARAMETRIC statistics
*STATISTICAL sampling
*SECONDARY analysis
*STATISTICAL significance
*METABOLIC syndrome
Subjects
Details
- Language :
- English
- ISSN :
- 09523871
- Volume :
- 24
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Journal of Human Nutrition & Dietetics
- Publication Type :
- Academic Journal
- Accession number :
- 60457978
- Full Text :
- https://doi.org/10.1111/j.1365-277X.2011.01175_38.x