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    Shikany, James M. Tinker, Lesley F. Neuhouser, Marian L. Ma, Yunsheng Patterson, Ruth E. Phillips, Lawrence S. Liu, Simin and Redden, David T. 2010. Association of glycemic load with cardiovascular disease risk factors: The Women's Health Initiative Observational Study. Nutrition, Vol. 26, Issue. 6, p. 641.


    van Baak, M. A. and Astrup, A. 2009. Consumption of sugars and body weight. Obesity Reviews, Vol. 10, p. 9.


    Hare-Bruun, Helle Nielsen, Birgit M Grau, Katrine Oxlund, Anne L and Heitmann, Berit L 2008. Should glycemic index and glycemic load be considered in dietary recommendations?. Nutrition Reviews, Vol. 66, Issue. 10, p. 569.


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Relationship of glycaemic index with cardiovascular risk factors: analysis of the National Diet and Nutrition Survey for people aged 65 and older

  • Joanne E Milton (a1), Blandine Briche (a2), Ian J Brown (a3), Mary Hickson (a1), Claire E Robertson (a3) (a4) and Gary S Frost (a5)
  • DOI: http://dx.doi.org/10.1017/S1368980007702914
  • Published online: 01 November 2007
Abstract
AbstractObjective

To identify associations between dietary glycaemic index (GI) and weight, body mass index and other risk factors for cardiovascular disease (CVD) – waist-to-hip ratio (WHR), lipoprotein fractions, triacylglycerols (TAG) and blood pressure (BP) – in an older British population.

Design

Cross-sectional dietary, anthropometric and biochemical data from the National Diet and Nutritional Survey for adults aged over 65 years were reanalysed using a hierarchical regression model. Associations between body weight, CVD risk factors, and dietary factors including GI and fibre intakes were explored among 1152 healthy older people living in the UK between 1994 and 1995.

Results

In the unadjusted model, GI was significantly and directly associated with TAG (β = 0.008 ± 0.003) and diastolic BP (β = 0.325 ± 0.164) in males. These relationships were attenuated and non-significant after adjustment for potential confounding factors. WHR (β = 0.003 ± 0.001) and TAG (β = 0.005 ± 0.002) were significantly predicted by GI in males and females combined. The association with WHR was attenuated by adjustment for sex, age, region and social class; the relationship with TAG was non-significant after adjustment for other potential dietary confounders.

Conclusion

After controlling for potential confounders, no clear links were detected between GI and body weight or other CVD risk factors. This study provides little evidence for advising the consumption of a low-GI diet in the elderly to prevent weight gain or improve other CVD risk factors.

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*Corresponding author: Email G.Frost@surrey.ac.uk
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