Skip to main content

Advertisement

Log in

Relationship between glycated hemoglobin A1c and cognitive function in nondemented elderly patients with type 2 diabetes

  • Original Article
  • Published:
Metabolic Brain Disease Aims and scope Submit manuscript

Abstract

Elderly patients with type 2 diabetes are at a greater risk for cognitive decline. The purpose of this study was to assess the relationship between the degree of hyperglycemia and cognitive status in nondemented, elderly diabetics. Between Jan 2013 and Dec 2014, 1174 geriatric patients with type 2 diabetes were enrolled in the study (579 males; age ≥ 60 years; from Fuzhou, Fujian, China). Cognitive function was measured with the Mini Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). A statistically significant, age-adjusted association was observed between the A1C levels and the scores on two cognitive tests (MMSE and MoCA). Specifically, a 1 % higher A1C value was associated with a 0.21-point lower MMSE score (95 % CI; compare −0.11to −0.28; P < 0.0001), as well as a 0.11-point lower MoCA score (95 % CI; compare −0.10 to −0.38; P < 0.0001). Higher A1C levels were not significantly associated with lower MMSE and MoCA test scores after adjusting for all variables. No significant correlation was found between the two variables in patients older than 80 years of age (n = 215; OR = 1.019; 95 % CI = 0.968 − 1.099; p = 0.251). Evidence strongly suggests that chronic hyperglycemia is associated with a decline in cognitive function in nondemented elderly patients with type 2 diabetes. When cognitive assessments are made, comprehensive factors such as advanced age, education level, duration of diabetes, hypertension and other vascular risks should be taken into account. For older geriatric patients (age ≥80 years), there is no significant correlation between A1c levels and cognitive function.

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

Similar content being viewed by others

References

  • Allen KV, Frier BM, Strachan MW (2004) The relationship between type 2 diabetes and cognitive dysfunction: longitudinal studies and their methodological limitations. Eur J Pharmacol 490:169–75

    Article  CAS  PubMed  Google Scholar 

  • Alonso A, Mosley TH Jr, Gottesman RF, Catellier D, Sharrett AR, Coresh J (2009) Risk of dementia hospitalisation associated with cardiovascular risk factors in midlife and older age: the atherosclerosis risk in communities (ARIC) study. J Neurol Neurosurg Psychiatry 80:1194–1201

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • American Diabetes Association (2003) The expert committee on the diagnosis and classification of diabetes mellitus: report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care 26:S5–S20

    Article  Google Scholar 

  • American Diabetes Association (2010) Diagnosis and classification of diabetes mellitus. Diabetes Care 33:S62–S69

    Article  PubMed Central  Google Scholar 

  • Biessels GJ, Staekenborg BE, Brayne C, Scheltens P (2006) Risk of dementia in diabetes mellitus: a systematic review. Lancet Neurol 5:64–74

    Article  PubMed  Google Scholar 

  • Cukierman T, Gerstein HC, Williamson JD (2005) Cognitive decline and dementia in diabetes—systematic overview of prospective observational studies. Diabetologia 48:2460–2469

    Article  CAS  PubMed  Google Scholar 

  • Elias PK, Elias MF, D’Agostino RB et al (1997) NIDDM and blood pressure as risk factors for poor cognitive performance. The Framingham study. Diabetes Care 20:1388–1395

    Article  CAS  PubMed  Google Scholar 

  • Folsom AR, Rasmussen ML, Chambless LE et al (1999) Prospective associations of fasting insulin, body fat distribution, and diabetes with risk of ischemic stroke. The atherosclerosis risk in communities (ARIC) study investigators. Diabetes Care 22:1077–1083

    Article  CAS  PubMed  Google Scholar 

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

    Article  CAS  PubMed  Google Scholar 

  • Gregg EW, Yaffe K, Cauley JA et al (2000) Is diabetes associated with cognitive impairment and cognitive decline among older women? study of osteoporotic fractures research group. Arch Intern Med 160:174–80

    Article  CAS  PubMed  Google Scholar 

  • Hassing LB, Grant MD, Hofer SM et al (2004) Type 2 diabetes mellitus contributes to cognitive decline in old age: a longitudinal population-based study. J Int Neuropsychol Soc 10:599–607

    Article  PubMed  Google Scholar 

  • Holtzer R, Verghese J, Wang C, Hall CB, Lipton RB (2008) Within-person across neuropsychological test variability and incident dementia. J R Soc Med 87:619–621

    Google Scholar 

  • Huang J, Schmeidler J, Beeri MS et al (2012) Haemoglobin A1c and cognitive function in very old, cognitively intact men. Age Ageing 41:125–8

    Article  PubMed  PubMed Central  Google Scholar 

  • Knopman DS, Mosley TH, Catellier DJ, Coker LH (2009) Fourteen-year longitudinal study of vascular risk factors, APOE genotype, and cognition: the ARIC MRI Study. Alzheimers Dement 5:207–214

    Article  PubMed  Google Scholar 

  • Levitan EB, Song Y, Ford ES, Liu S (2004) Is nondiabetic hyperglycemia a risk factor for cardiovascular disease? a meta-analysis of prospective studies. Arch Intern Med 164:2147–2155

    Article  PubMed  Google Scholar 

  • Mancia G, De Backer G, Dominiczak A et al (2007) 2007 guidelines for the management of arterial hypertension: the task force for the management of arterial hypertension of the european society of hypertension (ESH) and of the european society of cardiology (ESC). Eur Heart J 28:1462–1536

    PubMed  Google Scholar 

  • Nasreddine ZS, Phillips NA, Bedirian V, Charbonneau S, Whitehead V, Collin I et al (2005) The Montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc 53:695–9

    Article  PubMed  Google Scholar 

  • National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (2001) Executive summary of the third report of the national cholesterol education program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III). JAMA 285:2486–2497

    Article  Google Scholar 

  • Peila R, Rodriguez BL, Launer LJ (2002) Honolulu-Asia AS: type 2 diabetes, APOE gene, and the risk for dementia and related pathologies: the Honolulu-Asia aging study. Diabetes 51:1256–1262

    Article  CAS  PubMed  Google Scholar 

  • Reiner Z, Catapano AL, De Backer G et al (2011) ESC/EAS guidelines for the management of dyslipidaemias: the task force for the management of dyslipidaemias of the European Society of Cardiology (ESC) and the european atherosclerosis society (EAS). Eur Heart J 32:1769–1818

    Article  PubMed  Google Scholar 

  • Selvin E, Coresh J, Shahar E, Zhang L, Steffes M, Sharrett AR (2005) Glycaemia (haemoglobin A1c) and incident ischaemic stroke: the atherosclerosis risk in communities (ARIC) study. Lancet Neurol 4:821–826

    Article  CAS  PubMed  Google Scholar 

  • Selvin E, Steffes MW, Zhu H et al (2010) Glycated hemoglobin, diabetes, and cardiovascular risk in nondiabetic adults. N Engl J Med 362:800–811

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Strachan MWJ, Deary IJ, Ewing FME, Frier BM (1997) Is type II diabetes associated with an increased risk of cognitive dysfunction? a critical review of published studies. Diabetes Care 20:438–445

    Article  CAS  PubMed  Google Scholar 

  • Tali CY, Hertzel CG, Jefe DW et al (2009) Relationship between baseline glycemic control and cognitive function in individuals with type 2 diabetes and other cardiovascular risk factors. Diabetes Care 32:221–226

    Article  Google Scholar 

  • van den Berg E, de Craen AJ, Biessels GJ, Gussekloo J, Westendorp RG (2006) The impact of diabetes mellitus on cognitive decline in the oldest of the old: a prospective populationbased study. Diabetologia 49:2015–23

    Article  PubMed  Google Scholar 

  • Wang Y, Xu X-y, Feng C-h et al (2015) Patients with type 2 diabetes exhibit cognitive impairment with changes of metabolite concentration in the left hippocampus. Metab Brain Dis 30:1027–1034

  • Xu Y, Wang L, He J et al (2013) 2010 China noncommunicable disease surveillance group prevalence and control of diabetes in Chinese adults. JAMA 310:948–59

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

This study was supported by the Key Programs of Science and Technology of Fujian Province (2012Y0026). No funding source had any influence on study design or outcome.

We would like to thank Clarity Manuscript Consultants LLC (Indianapolis) for technical assistance in editing the manuscript.

We would like to thank funding support from the Youth Training Programs of Health System of Fujian Province(2014-ZQN-JC-16).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Liyong Yang.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflicts of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the First Affiliated Hospital of Fujian Medical University and with the 1964 Helsinki declaration and its later amendments.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, L., Yang, L., Shen, X. et al. Relationship between glycated hemoglobin A1c and cognitive function in nondemented elderly patients with type 2 diabetes. Metab Brain Dis 31, 347–353 (2016). https://doi.org/10.1007/s11011-015-9756-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11011-015-9756-z

Keywords

Navigation