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JNHA - The Journal of Nutrition, Health and Aging

, Volume 13, Issue 2, pp 117–120 | Cite as

Glycemic index and glycemic load are not associated with brain lesions in the elderly

  • R. J. Trone
  • K. G. Weaver
  • D. C. Steffens
  • M. E. PayneEmail author
JNHA: Clinical Neurosciences

Abstract

Objective

The goal of this study was to determine if brain lesion volume was correlated with dietary glycemic index and glycemic load in elderly individuals.

Design and Setting

This cross-sectional study was performed at an academic medical center as part of a clinical study of late-life depression.

Participants

Subjects (n=137) were age 60 or over, and were participating as non-depressed comparison subjects.

Measurements

Food intake was assessed using the Block 1998 food frequency questionnaire. Glycemic index and glycemic load measures were derived from reported food intake. Brain lesion volumes were calculated from magnetic resonance imaging (MRI).

Results

No significant associations were found between glycemic index or glycemic load, and brain lesion volume.

Conclusion

Dietary glycemic measures may be unrelated to brain lesions or may be related to brain lesions only in individuals with impaired glycemic control or other vascular risk factors. Further studies are needed to confirm this finding and to determine if glycemic control moderates this association.

Key words

Glycemic index glycemic load brain aging human 

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References

  1. 1.
    Murray AD, Staff RT, Shenkin SD, Deary IJ, Starr JM, Whalley LJ. Brain white matter hyperintensities: relative importance of vascular risk factors in nondemented elderly people. Radiology. Oct 2005;237(1):251–257.PubMedCrossRefGoogle Scholar
  2. 2.
    Wong TY, Klein R, Sharrett AR, et al. Cerebral white matter lesions, retinopathy, and incident clinical stroke. Jama. Jul 3 2002;288(1):67–74.PubMedCrossRefGoogle Scholar
  3. 3.
    Yamauchi H, Fukuda H, Oyanagi C. Significance of white matter high intensity lesions as a predictor of stroke from arteriolosclerosis. J Neurol Neurosurg Psychiatry. May 2002;72(5):576–582.PubMedCrossRefGoogle Scholar
  4. 4.
    Alexopoulos GS, Meyers BS, Young RC, Campbell S, Silbersweig D, Charlson M. ’Vascular depression’ hypothesis. Arch Gen Psychiatry. Oct 1997;54(10):915–922.PubMedGoogle Scholar
  5. 5.
    Krishnan KR, Hays JC, Blazer DG. MRI-defined vascular depression. Am J Psychiatry. 1997;154(4):497–501.PubMedGoogle Scholar
  6. 6.
    Thomas AJ, O’Brien JT, Davis S, et al. Ischemic basis for deep white matter hyperintensities in major depression: a neuropathological study. Arch Gen Psychiatry. Sep 2002;59(9):785–792.PubMedCrossRefGoogle Scholar
  7. 7.
    Kimura S. Glycemic carbohydrate and health: background and synopsis of the symposium. Nutr Rev. May 2003;61(5 Pt 2):S1–4.PubMedCrossRefGoogle Scholar
  8. 8.
    Jacob RJ, Fan X, Evans ML, Dziura J, Sherwin RS. Brain glucose levels are elevated in chronically hyperglycemic diabetic rats: no evidence for protective adaptation by the blood brain barrier. Metabolism. Dec 2002;51(12):1522–1524.PubMedCrossRefGoogle Scholar
  9. 9.
    Liu S, Manson JE, Stampfer MJ, et al. Dietary glycemic load assessed by foodfrequency questionnaire in relation to plasma high-density-lipoprotein cholesterol and fasting plasma triacylglycerols in postmenopausal women. Am J Clin Nutr. Mar 2001;73(3):560–566.PubMedGoogle Scholar
  10. 10.
    Awad IA, Johnson PC, Spetzler RF, Hodak JA. Incidental subcortical lesions identified on magnetic resonance imaging in the elderly. II. Postmortem pathological correlations. Stroke. Nov–Dec 1986;17(6):1090–1097.PubMedGoogle Scholar
  11. 11.
    Awad IA, Spetzler RF, Hodak JA, Awad CA, Carey R. Incidental subcortical lesions identified on magnetic resonance imaging in the elderly. I. Correlation with age and cerebrovascular risk factors. Stroke. Nov–Dec 1986;17(6):1084–1089.Google Scholar
  12. 12.
    Cook IA, Leuchter AF, Morgan ML, et al. Longitudinal progression of subclinical structural brain disease in normal aging. Am J Geriatr Psychiatry. Mar–Apr 2004;12(2):190–200.PubMedGoogle Scholar
  13. 13.
    de Leeuw FE, de Groot JC, Oudkerk M, et al. Hypertension and cerebral white matter lesions in a prospective cohort study. Brain. Apr 2002;125(Pt 4):765–772.PubMedCrossRefGoogle Scholar
  14. 14.
    American Psychiatric Association: Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. Washington, DC: American Psychiatric Association; 1994.Google Scholar
  15. 15.
    Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. Nov 1975;12(3):189–198.PubMedCrossRefGoogle Scholar
  16. 16.
    Payne ME, Hybels CF, Bales CW, Steffens DC. Vascular nutritional correlates of late-life depression. Am J Geriatr Psychiatry. Sep 2006;14(9):787–795.PubMedCrossRefGoogle Scholar
  17. 17.
    Subar AF, Thompson FE, Kipnis V, et al. Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires: the Eating at America’s Table Study. Am J Epidemiol. Dec 15 2001;154(12):1089–1099.PubMedCrossRefGoogle Scholar
  18. 18.
    Hu Y, Block G, Norkus EP, Morrow JD, Dietrich M, Hudes M. Relations of glycemic index and glycemic load with plasma oxidative stress markers. Am J Clin Nutr. Jul 2006;84(1):70–76; quiz 266–267.PubMedGoogle Scholar
  19. 19.
    Foster-Powell K, Holt SH, Brand-Miller JC. International table of glycemic index and glycemic load values: 2002. Am J Clin Nutr. Jul 2002;76(1):5–56.PubMedGoogle Scholar
  20. 20.
    Payne ME, Fetzer DL, MacFall JR, Provenzale JM, Byrum CE, Krishnan KR. Development of a semi-automated method for quantification of MRI gray and white matter lesions in geriatric subjects. Psychiatry Res. 2002;115(1–2):63–77.PubMedGoogle Scholar
  21. 21.
    Taylor WD, Steffens DC, MacFall JR, et al. White matter hyperintensity progression and late-life depression outcomes. Arch Gen Psychiatry. Nov 2003;60(11):1090–1096.PubMedCrossRefGoogle Scholar
  22. 22.
    Greenwood CE, Kaplan RJ, Hebblethwaite S, Jenkins DJ. Carbohydrate-induced memory impairment in adults with type 2 diabetes. Diabetes Care. Jul 2003;26(7):1961–1966.PubMedCrossRefGoogle Scholar
  23. 23.
    Sahyoun NR, Anderson AL, Kanaya AM, et al. Dietary glycemic index and load, measures of glucose metabolism, and body fat distribution in older adults. Am J Clin Nutr. Sep 2005;82(3):547–552.PubMedGoogle Scholar

Copyright information

© Serdi and Springer Verlag France 2009

Authors and Affiliations

  • R. J. Trone
    • 1
    • 2
  • K. G. Weaver
    • 1
    • 2
  • D. C. Steffens
    • 2
  • M. E. Payne
    • 2
    • 3
    Email author
  1. 1.Department of Clinical ResearchCampbell UniversityMorrisvilleUSA
  2. 2.Department of Psychiatry and Behavioral SciencesDuke University Medical CenterDurhamUSA
  3. 3.Neuropsychiatric Imaging Research LaboratoryDuke University Medical CenterDurhamUSA

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