Skip to main content

Advertisement

Log in

Metabolic parameters and cognitive function in a cohort of older diabetic patients

  • Original Article
  • Published:
Aging Clinical and Experimental Research Aims and scope Submit manuscript

Abstract

Background

Dementia is one of the most disabling conditions associated with old age. With increasing life expectancy, prevalence of both dementia and diabetes is rising. The complex pathological relationship between diabetes mellitus (DM) and dementia has been studied, but is not yet fully understood.

Aims

The main objective of this study was to investigate the relationship between metabolic parameters and the cognitive function in older diabetics.

Methods

A total number of 360 diabetic subjects, age 65 years and over, and 300 older people controls were included. Clinical and biological parameters, together with the cognitive function, were assessed every 6 months over a 18-month period, for each study participant.

Results

By employing a multivariate linear regression analysis, several significant relationships have been identified: between Clock Drawing Test (CDT) scores and HbA1c (R 2 = 0.68); between CDT scores (R 2 = 0.51) and overall MMSE scores (R 2 = 0.43) on one hand, and DM duration in years, on the other hand; also between CDT scores and BMI (R 2 = 0.59). There was no significant association between fasting serum glucose (FSG), total serum cholesterol, LDL cholesterol or triglycerides levels and cognitive function scores (p > 0.05).

Conclusions

The close detailed monitoring of the cognitive function and a rigorous metabolic control are important, especially in the very early stages of DM. Addressing factors such as weight control in older diabetic patients could contribute to better cognitive outcomes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Prince M, Jackson J (eds) (2009) World Alzheimer report. Alzheimer’s Disease International, London

  2. Alzheimer Europe (2013) Dementia in Europe: Yearbook 2013: national policies covering the care and support of people with dementia and their carers: including the Alzheimer Europe Annual Report 2012

  3. Shaw JE, Sicree RA, Zimmet PZ (2010) Global estimates of the prevalence of diabetes for 2010 and 2030. Diab Res Clin Prac 7:4–14

    Article  Google Scholar 

  4. Prince M, Albanese E, Guerchet M et al (2014) World Alzheimer Report. Alzheimer’s Disease International, London

  5. Barbagallo M, Dominguez LJ (2014) Type 2 diabetes mellitus and Alzheimer’s disease. World J Diabetes 5:889–893

    Article  PubMed  PubMed Central  Google Scholar 

  6. Wong TY, Klein R, Sharrett AR (2002) Retinal microvascular abnormalities and cognitive impairment in middle-aged persons: the atherosclerosis risk in communities study. Stroke 33:1487–1492

    Article  PubMed  Google Scholar 

  7. van Harten B, de Leeuw F-E, Weinstein HC et al (2006) Brain imaging in patients with diabetes. A systematic review. Diabetes Care 29:2539–2548

    Article  PubMed  Google Scholar 

  8. Tiehuis AM, van der Graaf Y, Visseren FL (2008) Diabetes increases atrophy and vascular lesions on brain MRI in patients with symptomatic arterial disease. Stroke 39:1600–1603

    Article  PubMed  Google Scholar 

  9. Biessels GJ, Kappelle LJ (2005) Increased risk of Alzheimer’s disease in Type II diabetes: insulin resistance of the brain or insulin-induced amyloid pathology? Biochem Soc Trans 33:1041–1044

    Article  CAS  PubMed  Google Scholar 

  10. Williamson R, McNeilly A, Sutherland C (2012) Insulin resistance in the brain: an old-age or new-age problem? Biochem Pharmacol 84:737–745

    Article  CAS  PubMed  Google Scholar 

  11. Tong M, de la Monte SM (2009) Ceramide-mediated neurodegeneration: relevance to Diabetes-associated neurodegeneration. J Alzheimers Dis 16:705–714

    PubMed  PubMed Central  Google Scholar 

  12. Gasparini L, Xu H (2003) Potential roles of insulin and IGF-1 in Alzheimer’s disease. Trends Neurosci 26:404–407

    Article  CAS  PubMed  Google Scholar 

  13. Brownlee M (2005) The pathobiology of diabetic complications: a unifying mechanism. Diabetes 54:1615–1625

    Article  CAS  PubMed  Google Scholar 

  14. Kodl CT, Seaquist ER (2008) Cognitive dysfunction and diabetes mellitus. Endocr Rev 29:494–511

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Cardoso S, Correia SC, Santos RX et al (2013) Hyperglycaemia, hypoglycaemia and dementia: role of mitochondria and uncoupling proteins. Curr Mol Med 13:586–601

    Article  CAS  PubMed  Google Scholar 

  16. Zhao B, Pan BS, Shen SW et al (2013) Diabetes-induced central neuritic dystrophy and cognitive deficits are associated with the formation of oligomeric reticulon-3 via oxidative stress. J Biol Chem 288:15590–15599

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Folstein MF, Folstein SE, McHugh PR (1975) Mini-mental state—a practical method for grading the cognitive state of patients for the clinician. J Psychiat Res 12:189–198

    Article  CAS  PubMed  Google Scholar 

  18. Pinto E, Peters R (2009) Literature review of the clock drawing test as a tool for cognitive screening. Dement Geriatr Cogn Disord 27:201–213

    Article  PubMed  Google Scholar 

  19. Sunderland T, Hill JL, Mellow AM et al (1989) Clock drawing in Alzheimer’s disease: a novel measure of dementia severity. J Am Geriatr Soc 37:725–729

    Article  CAS  PubMed  Google Scholar 

  20. Juby A, Tench S, Baker V (2002) The value of clock drawing in identifying executive cognitive dysfunction in people with a normal mini-mental state examination score. CMAJ 167:859–864

    PubMed  PubMed Central  Google Scholar 

  21. Carlson MC, Xue QL, Zhou J et al (2009) Executive decline and dysfunction precedes declines in memory: the Women’s Health and Aging Study II. J Gerontol A Biol Sci Med Sci 64:110–117

    Article  PubMed  Google Scholar 

  22. Nishtala A, Preis SR, Beiser A et al (2014) Midlife cardiovascular risk impacts executive function: Framingham offspring study. Alzheimer Dis Assoc Disord 28:16–22

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Arvanitakis Z, Wilson RS, Li Y et al (2006) Diabetes and function in different cognitive systems in older individuals without dementia. Diabetes Care 29:560–565

    Article  PubMed  Google Scholar 

  24. Alencar RC, Cobas RA, Gomes MB (2010) Assessment of cognitive status in patients with type 2 diabetes through the mini-mental status examination: a cross-sectional study. Diabetol Metab Syndr 2:10

    Article  PubMed  PubMed Central  Google Scholar 

  25. Cukierman-Yaffe T, Gerstein H, Williamson J et al (2009) Relationship between baseline glycaemic control and cognitive function in individuals with type 2 diabetes and other cardiovascular risk factors: the action to control cardiovascular risk in diabetes-memory in diabetes (ACCORD-MIND) trial. Diabetes Care 32:221–226

    Article  PubMed  PubMed Central  Google Scholar 

  26. Cukierman-Yaffe T, Gerstein HC, Anderson C et al (2009) Glucose intolerance and diabetes as risk factors for cognitive impairment in people at high cardiovascular risk: results from the ONTARGET/TRANSCEND Research Programme. Diabetes Res Clin Pract 83:387–393

    Article  CAS  PubMed  Google Scholar 

  27. Tolppanen AM, Lavikainen P, Solomon A et al (2013) History of medically treated diabetes and risk of Alzheimer disease in a nationwide case-control study. Diabetes Care 36:2015–2019

    Article  PubMed  PubMed Central  Google Scholar 

  28. Whitmer RA, Sidney S, Selby J et al (2005) Midlife cardiovascular risk factors and risk of dementia in late life. Neurology 64:277–281

    Article  CAS  PubMed  Google Scholar 

  29. Ronnemaa E, Zethelius B, Lannfelt L et al (2011) Vascular risk factors and dementia: 40-year follow-up of a population-based cohort. Dement Geriatr Cogn Disord 31:460–466

    Article  PubMed  Google Scholar 

  30. Ancelin ML, Ripoche E, Dupuy AM et al (2013) Sex differences in the associations between lipid levels and incident dementia. J Alzheimers Dis 34:519–528

    CAS  PubMed  PubMed Central  Google Scholar 

  31. Notkola IL, Sulkava R, Pekkanen J et al (1998) Serum total cholesterol, apolipoprotein E epsilon 4 allele, and Alzheimer’s disease. Neuroepidemiology 17:14–20

    Article  CAS  PubMed  Google Scholar 

  32. Stewart R, White LR, Xue QL et al (2007) Twenty-six-year change in total cholesterol levels and incident dementia: the Honolulu-Asia aging study. Arch Neurol 64:103–107

    Article  PubMed  Google Scholar 

  33. Tan ZS, Seshadri S, Beiser A et al (2003) Plasma total cholesterol level as a risk factor for Alzheimer disease: the Framingham study. Arch Intern Med 163:1053–1057

    Article  CAS  PubMed  Google Scholar 

  34. Mielke MM, Zandi PP, Shao H et al (2010) The 32-year relationship between cholesterol and dementia from midlife to late life. Neurology 75:1888–1895

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Beydoun MA, Beason-Held LL, Kitner-Triolo MH et al (2011) Statins and serum cholesterol’s associations with incident dementia and mild cognitive impairment. J Epidemiol Community Health 65:949–957

    Article  PubMed  Google Scholar 

  36. Solomon A, Kareholt I, Ngandu T et al (2007) Serum cholesterol changes after midlife and late-life cognition: twenty-one-year follow-up study. Neurology 68:751–756

    Article  CAS  PubMed  Google Scholar 

  37. Gorospe EC, Dave JK (2007) The risk of dementia with increased body mass index. Age Ageing 36:23–29

    Article  PubMed  Google Scholar 

  38. Beydoun MA, Beydoun HA, Wang Y (2008) Obesity and central obesity as risk factors for incident dementia and its subtypes: a systematic review and meta-analysis. Obes Rev 9:204–218

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Anstey KJ, Cherbuin N, Budge M et al (2011) Body mass index in midlife and late-life as a risk factor for dementia: a meta-analysis of prospective studies. Obes Rev 12:e426–e437

    Article  CAS  PubMed  Google Scholar 

  40. Gustafson DR, Backman K, Waern M et al (2009) Adiposity indicators and dementia over 32 years in Sweden. Neurology 73:1559–1566

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Stewart R, Masaki K, Xue QL et al (2005) A 32-year prospective study of change in body weight and incident dementia: the Honolulu-Asia aging study. Arch Neurol 62:55–60

    Article  PubMed  Google Scholar 

  42. Whitmer RA, Gustafson DR, Barrett-Connor E et al (2008) Central obesity and increased risk of dementia more than three decades later. Neurology 71:1057–1064

    Article  CAS  PubMed  Google Scholar 

  43. Luchsinger JA, Cheng D, Tang MX et al (2012) Central obesity in the elderly is related to late-onset Alzheimer disease. Alzheimer Dis Assoc Disord 26:101–105

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

The authors would like to express their deepest gratitude to Professor Alan Walker (BA, DLitt, Hon. D.Soc.Sc. (HKBU), FBA, FRSA, AcSS, CBE), Professor of Social Policy and Social Gerontology at the University of Sheffield, UK, for his continuous and invaluable guidance and support. Moreover, the authors wish to extend their acknowledgement to Professor Mihail Coculescu, MD, PhD, FRCP, Professor of Endocrinology at the University of Pharmacy and Medicine “Carol Davila”, Bucharest, Romania, Member of Romanian Academy, for his enthusiastic encouragement and constructive suggestions.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Raluca Mihaela Nacu.

Ethics declarations

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Statement of human and animal rights

All procedures performed in the present study that involved human participants were in accordance with the ethical standards of our institution and our National Research Committee and also with the 1964 Helsinki declaration and its later amendments and comparable ethical standards, including the respect for human rights.

Informed consent

Informed consent was obtained from all individual participants prior to their inclusion in the study, after a careful explanation of the details of the procedures.

Funding

This study was funded by Ministry of Education—Executive Unit for Financing Education, Higher Research, Development and Innovation (EUFEHGDI), Romania (Grant Number 1FL/2008). The corresponding author received financial support through the project entitled “CERO—Career profile: Romanian Researcher”, grant number POSDRU/159/1.5/S/135760/2014, financed by Ministry of Regional Development and Public Administration—University of Medicine and Pharmacy “Carol Davila”, Romania.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Herghelegiu, A.M., Nacu, R.M. & Prada, G.I. Metabolic parameters and cognitive function in a cohort of older diabetic patients. Aging Clin Exp Res 28, 1105–1112 (2016). https://doi.org/10.1007/s40520-015-0515-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40520-015-0515-0

Keywords

Navigation