Hostname: page-component-848d4c4894-nmvwc Total loading time: 0 Render date: 2024-06-26T12:55:35.396Z Has data issue: false hasContentIssue false

Type 2 Diabetes and Cognitive Functions in Middle Age: A Meta-Analysis

Published online by Cambridge University Press:  21 December 2018

Elina Pelimanni
Affiliation:
Psychology, Faculty of Social Sciences, University of Tampere, Tampere, Finland
Mervi Jehkonen*
Affiliation:
Psychology, Faculty of Social Sciences, University of Tampere, Tampere, Finland Tampere University Hospital, Tampere, Finland
*
Correspondence and reprint requests to: Mervi Jehkonen, Psychology, Faculty of Social Sciences, FIN-33014 University of Tampere, Finland. E-mail: mervi.jehkonen@staff.uta.fi

Abstract

Objectives: Type 2 diabetes mellitus has been linked with cognitive decrement and an increased risk of dementia in older people. Less is known about whether diabetes affects cognition at younger ages. The objective of this meta-analysis was to examine possible differences (effect sizes) in cognitive performance between middle-aged type 2 diabetic patients and healthy controls. Secondary aim was to examine whether age is related to the magnitude of effect sizes. Methods: Electronic databases and lists of references of selected articles were used to search for studies examining type 2 diabetes and cognition in patients under age 65 compared to healthy controls. Twelve studies met the inclusion criteria. Standardized mean differences (Hedges’s g) were calculated for main cognitive domains and their subdomains. Association between age and effect sizes was evaluated with meta-regression analyses. Publication bias and methodological quality of the studies were assessed. Results: Patients performed worse than controls in several cognitive functions. The largest differences were found in information processing speed (g = −0.68), attention/concentration (g = −0.55), executive functions (g = −0.51), and working memory (g = −0.51). There was no significance difference in visual memory (g = −0.15). Age was significantly related to the effect size in information processing speed, language, verbal memory and visual memory. However, the direction of association varied across these cognitive domains. Conclusions: The results suggest that cognitive decrement in diabetes is not restricted to older people, but may begin to appear in middle age. More attention should be paid to early recognition and treatment of diabetes-related cognitive decrement in healthcare systems. (JINS, 2019, 25, 215–229)

Type
Critical Review
Copyright
Copyright © The International Neuropsychological Society 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Aberle, I., Kliegel, M., & Zimprich, D. (2008). Cognitive development in young-old type-2 diabetes patients: A longitudinal analysis from the “Interdisciplinary Longitudinal Study of Aging”. Current Psychology, 27(1), 615.Google Scholar
Alvarez, J.A., & Emory, E. (2006). Executive function and the frontal lobes: A meta-analytic review. Neuropsychology Review, 16(1), 1742.Google Scholar
American Diabetes Association. (2017). Classification and diagnosis of diabetes. Diabetes Care, 40(Suppl. 1), S11S24.Google Scholar
Awad, N., Gagnon, M., & Messier, C. (2004). The relationship between impaired glucose tolerance, type 2 diabetes, and cognitive function. Journal of Clinical and Experimental Neuropsychology, 26(8), 10441080.Google Scholar
Biessels, G.J., Staekenborg, S., Brunner, E., Brayne, C., & Scheltens, P. (2006). Risk of dementia in diabetes mellitus: A systematic review. Lancet Neurology, 5(1), 6474.Google Scholar
Biessels, G.J., ter Braak, E.W.M., Erkelens, D.W., & Hijman, R. (2001). Cognitive function in patients with type 2 diabetes mellitus. Neuroscience Research Communications, 28(1), 1122.Google Scholar
Borenstein, M., Hedges, L.V., Higgins, J.P.T., & Rothstein, H.R. (2009). Introduction to meta-analysis. Chichester, UK: John Wiley & Sons, Ltd.Google Scholar
Borenstein, M., Hedges, L., Higgins, J., & Rothstein, H. (2014). Comprehensive meta-analysis (Version 3) [Computer software]. Englewood, NJ: Biostat.Google Scholar
Cheng, G., Huang, C., Deng, H., & Wang, H. (2012). Diabetes as a risk factor for dementia and mild cognitive impairment: A meta-analysis of longitudinal studies. Internal Medicine Journal, 42(5), 484491.Google Scholar
Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64(1), 135168.Google Scholar
Duval, S., & Tweedie, R. (2000). Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics, 56(2), 455463.Google Scholar
Feinkohl, I., Price, J.F., Strachan, M.W.J., & Frier, B.M. (2015). The impact of diabetes on cognitive decline: Potential vascular, metabolic, and psychosocial risk factors. Alzheimer’s Research & Therapy, 7(1). doi:10.1186/s13195-015-0130-5 Google Scholar
Field, A.P., & Gillett, R. (2010). How to do a meta-analysis. British Journal of Mathematical and Statistical Psychology, 63, 665694.Google Scholar
García-Casares, N., Jorge, R.E., García-Arnés, J.A., Acion, L., Berthier, M.L., Gonzalez-Alegre, P., … González-Santos, P. (2014). Cognitive dysfunctions in middle-aged type 2 diabetic patients and neuroimaging correlations: A cross-sectional study. Journal of Alzheimer’s Disease, 42(4), 13371346.Google Scholar
Gurd, J.M., Kischka, U., & Marshall, J.C. (2012). The handbook of clinical neuropsychology (2nd ed.). Oxford, UK: Oxford University Press.Google Scholar
Harada, C.N., Love, M.C.N., & Triebel, K. (2013). Normal cognitive aging. Clinics in Geriatric Medicine, 29(4), 737752.Google Scholar
Hardy, R.J., & Thompson, S.G. (1998). Detecting and describing heterogeneity in meta-analysis. Statistics in Medicine, 17, 841856.Google Scholar
Higgins, J.P., & Green, S. (2011). Cochrane handbook for systematic reviews of interventions. [Version 5.1.0]. The Cochrane Collaboration. Retrieved from http://handbook.cochrane.org Google Scholar
Higgins, J.P.T., Thompson, S.G., Deeks, J.J., & Altman, D.G. (2003). Measuring inconsistency in meta-analyses. British Medical Journal, 327(7414), 557560.Google Scholar
International Diabetes Federation (2015). IDF diabetes atlas (7th ed.). Brussels, Belgium: International Diabetes Federation. Retrieved from http://www.diabetesatlas.org Google Scholar
Kinga, K. J., & Anett, P. (2016). Glucose metabolism and memory functions in adults with type 2 diabetes mellitus. Romanian Journal of Experimental Applied Psychology, 7(1), 146149.Google Scholar
Kodl, C.T., & Seaquist, E.R. (2008). Cognitive dysfunction and diabetes mellitus. Endocrine Reviews, 29(4), 494511.Google Scholar
Krishna Kumar, S., Rajaram, S., Rajendran, P., Ismail, M., & Thirumalaikolundu Subramanian, P. (2015). A comparative study of cognitive function and information processing ability among type 2 diabetes mellitus patients and healthy volunteers. Journal of Evolution of Medical and Dental Sciences, 4(37), 63786383.Google Scholar
Lezak, M.D., Howieson, D.B., Bigler, E.D., & Tranel, D. (2012). Neuropsychological assessment (5th ed.). New York, NY: Oxford University Press.Google Scholar
McGrimmon, R.J., Ryan, C.M., & Frier, B.M. (2012). Diabetes and cognitive dysfunction. Lancet, 379(9833), 22912299.Google Scholar
Mehrabian, S., Raycheva, M., Gateva, A., Todorova, G., Angelova, P., Traykova, M., … Traykov, L. (2012). Cognitive dysfunction profile and arterial stiffness in type 2 diabetes. Journal of Neurological Science, 322(1–2), 152156.Google Scholar
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D.G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA Statement. PLoS Medicine 6(7). doi:10.1371/journal.pmed1000097 Google Scholar
Monette, M.C.E., Baird, A., & Jackson, D.L. (2014). A meta-analysis of cognitive functioning in nondemented adults with type 2 diabetes mellitus. Canadian Journal of Diabetes, 38(6), 401408.Google Scholar
Naseer, M.M.A., Ramzy, G.M., Abdelhamid, Y.M., Hegazy, M., Darwish, H., & Latif, R.A. (2014). Cognitive impairment in type 2 diabetic Egyptian patients. Egyptian Journal of Neurology, Psychiatry and Neurosurgery, 51(1), 3138.Google Scholar
Nazaribadie, M., Amini, M., Ahmadpanah, M., Asgari, K., Jamlipaghale, S., & Nazaribadie, S. (2014). Executive functions and information processing in patients with type 2 diabetes in comparison to pre-diabetic patients. Journal of Diabetes & Metabolic Disorders, 13(1). doi:10.1186/2251-6581-13-27 Google Scholar
Nazaribadie, M., Asgari, K., Amini, M., Ahmadpanah, M., Nazaribadie, M., & Jamlipaghale, S. (2013). Cognitive processes and functions in patients with type 2 diabetes in comparison to pre-diabetic patients. Journal of Research in Health Sciences, 13(2), 208213.Google Scholar
Palta, P., Schneider, A.L.C., Biessels, G.J., Touradji, P., & Hill-Briggs, F. (2014). Magnitude of cognitive dysfunction in adults with type 2 diabetes: A meta-analysis of six cognitive domains and the most frequently reported neuropsychological tests within domains. Journal of the International Neuropsychological Society, 20(3), 278291.Google Scholar
Rawlings, A.M., Sharrett, A.R., Schneider, A.L.C., Coresh, J., Albert, M., Couper, D., … Selvin, E. (2014). Diabetes in midlife and cognitive change over 20 years: The Atherosclerosis Risk in Communities Neurocognitive Study. Annals of Internal Medicine, 161(11), 785793.Google Scholar
Reijmer, Y.D., van den Berg, E., Ruis, C., Kappelle, L.J., & Biessels, G.J. (2010). Cognitive dysfunction in patients with type 2 diabetes. Diabetes/Metabolism Research and Reviews, 26(7), 507519.Google Scholar
Ryan, C.M., & Geckle, M.O. (2000a). Circumscribed cognitive dysfunction in middle-aged adults with type 2 diabetes. Diabetes Care, 23(10), 14861493.Google Scholar
Ryan, C.M., & Geckle, M. (2000b). Why is learning and memory dysfunction in type 2 diabetes limited to older adults? Diabetes/Metabolism Research and Reviews, 16(5), 308315.Google Scholar
Sadanand, S., Balachandar, R., & Bharath, S. (2015). Memory and executive functions in persons with type 2 diabetes: A meta-analysis. Diabetes/Metabolism Research and Reviews, 32(2), 132142.Google Scholar
Solanki, R.K., Dubey, V., & Munshi, D. (2009). Neurocognitive impairment and comorbid depression in patients of diabetes mellitus. International Journal of Diabetes in Developing Countries, 29(3), 133138.Google Scholar
Somerville, J., Tremont, G., & Stern, R.A. (2000). The Boston Qualitative Scoring System as a measure of executive functioning in Rey-Osterrieth Complex Figure performance. Journal of Clinical and Experimental Neuropsychology, 22(5), 613621.Google Scholar
Stang, A. (2010). Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. European Journal of Epidemiology, 25(9), 603605.Google Scholar
Tomlin, A., & Sinclair, A. (2016). The influence of cognition on self-management of type 2 diabetes in older people. Psychology Research and Behavior Management, 9, 720.Google Scholar
Tuligenga, R.H., Dugravot, A., Tabák, A.G., Elbaz, A., Brunner, E.J., Kivimäki, M., & Singh-Manoux, A. (2014). Midlife type 2 diabetes and poor glycaemic control as risk factors for cognitive decline in early old age: A post-hoc analysis of the Whitehall II cohort study. Lancet Diabetes & Endocrinology, 2(3), 228235.Google Scholar
van den Berg, E., Kloppenborg, R.P., Kessels, R.P.C., Kappelle, L.J., & Biessels, G.J. (2009). Type 2 diabetes mellitus, hypertension, dyslipidemia and obesity: A systematic comparison of their impact on cognition. Biochimica et Biophysica Acta, 1792(5), 470481.Google Scholar
van Eersel, M.E.A., Joosten, H. Gansevoort, R.T., Dullaart, R.P.F., Slaets, J.P.J., & Izaks, G.J. (2013). The interaction of age and type 2 diabetes on executive function and memory in persons aged 35 years or older. PLoS One, 8(12). doi:10.1371/journal.pone.0082991 Google Scholar
Vincent, C., & Hall, P.A. (2015). Executive function in adults with type 2 diabetes: A meta-analytic review. Psychosomatic Medicine, 77(6), 631642.Google Scholar
Wells, G.A., Shea, B., O’Connell, D., Peterson, J., Welch, V., Losos, M., & Tugwell, P. (2014). The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomized studies in meta-analyses. Retrieved from http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp Google Scholar
Winkler, A., Dlugaj, M., Weimar, C., Jöckel, K.H., Erbel, R., Dragano, N., & Moebus, S. (2014). Association of diabetes mellitus and mild cognitive impairment in middle-aged men and women. Journal of Alzheimer’s Disease, 42(4), 12691277.Google Scholar
Yau, P.L., Javier, D., Tsui, W., Sweat, V., Bruehl, H., Borod, J.C., & Convit, A. (2009). Emotional and neutral declarative memory impairments and associated white matter microstructural abnormalities in adults with type 2 diabetes. Psychiatry Research, 174(3), 223230.Google Scholar
Supplementary material: File

Pelimanni and Jehkonen supplementary material

Pelimanni and Jehkonen supplementary material 1

Download Pelimanni and Jehkonen supplementary material(File)
File 15.4 KB
Supplementary material: File

Pelimanni and Jehkonen supplementary material

Pelimanni and Jehkonen supplementary material 2

Download Pelimanni and Jehkonen supplementary material(File)
File 39.2 KB
Supplementary material: File

Pelimanni and Jehkonen supplementary material

Pelimanni and Jehkonen supplementary material 3

Download Pelimanni and Jehkonen supplementary material(File)
File 651 KB