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Research Articles

Type 2 diabetes and cognitive performance in middle age: a cross-sectional study

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Pages 423-432 | Received 12 Oct 2022, Accepted 03 Aug 2023, Published online: 29 Aug 2023

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), 6–15. https://doi.org/10.1007/s12144-008-9020-3
  • Alberti, K. G. M. M., & Zimmet, P. Z. (1998). Definition, diagnosis and classification of diabetes mellitus and its complications Part 1: Diagnosis and classification of diabetes mellitus. Provisional report of a WHO consultation. Diabetic Medicine, 15(7), 539–553. https://doi.org/10.1002/(SICI)1096-913619980715:7
  • Babor, T. F., de la Fuente, J. R., Saunders, J., & Grant, M. (1992). AUDIT. The Alcohol Use Disorders Identification Test. Guidelines for use in primary health care. World Health Organization.
  • Beck, A. T., Epstein, N., Brown, G., & Steer, R. A. (1988). An inventory for measuring clinical anxiety: Psychometric properties. Journal of Consulting and Clinical Psychology, 56(6), 893–897. https://doi.org/10.1037/0022-006X.56.6.893
  • Beck, A., Steer, R., & Brown, G. (1996). Manual for the beck depression inventory-II. Psychological Corporation.
  • 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), 11–22. https://doi.org/10.1002/1520-6769200101/0228
  • Brickenkamp, R., Schmidt-Atzert, L., & Liepmann, D. (2016). d2-R Tarkkaavuuden ja keskittymisen testi. Suomenkielisen version käsikirjaliite Kynä-paperitestille ja nettitestille. Hogrefe.
  • Brown, J. (1958). Some tests of the decay theory of immediate memory. The Quarterly Journal of Experimental Psychology, 10(1), 12–21. https://doi.org/10.1080/17470215808416249
  • Butters, N., & Cermack, L. S. (1980). Alcoholic Korsakoff’s syndrome: An information processing approach in amnesia. Academic Press.
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Erlbaum.
  • Faiz, S., Qureshi, F. M., Hussain, A. W., & Nigah-E-Mumtaz, S. (2021). Association of subjective memory complaints amid patients of diabetes mellitus type II and hypertension. Pakistan Journal of Medical Sciences, 37(2), 477–482. https://doi.org/10.12669/pjms.37.2.3426
  • Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/10.3758/BF03193146
  • Fisk, J. D., Ritvo, P. G., Ross, L., Haase, D. A., Marrie, T. J., & Schlech, W. F. (1994). Measuring the functional impact of fatigue: Initial validation of the fatigue impact scale. Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America, 18(Suppl 1), S79–S83. https://doi.org/10.1093/clinids/18.Supplement_1.S79
  • García-Casares, N., Jorge, R. E., García-Arnés, J. A., Acion, L., Berthier, M. L., Gonzalez-Alegre, P., Nabrozidis, A., Gutiérrez, A., José Ariza, M., Rioja, J., & 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), 1337–1346. https://doi.org/10.3233/JAD-140702
  • Gudala, K., Bansal, D., Schifano, F., & Bhansali, A. (2013). Diabetes mellitus and risk of dementia: A meta-analysis of prospective observational studies. Journal of Diabetes Investigation, 4(6), 640–650. https://doi.org/10.1111/jdi.12087
  • Ho, D. E., Imai, K., King, G., & Stuart, E. A. (2011). MatchIt: Nonparametric preprocessing for parametric causal inference. Journal of Statistical Software, 42(8), 1–28. https://doi.org/10.18637/jss.v042.i08
  • Kálcza-Jánosi, K., & Anett, P. (2016). Glucose metabolism and memory functions in adults with type 2 diabetes mellitus. Romanian Journal of Experimental Applied Psychology, 7(1), 146–149. https://doi.org/10.15303/rjeap.2016.si1.a30
  • Kálcza-Jánosi, K., Lukács, A., Barkai, L., & Szamosközi, I. (2013). Cognitive functions in type 1 and type 2 diabetes: Meta-analysis. Orvosi Hetilap, 154(18), 694–699. https://doi.org/10.1556/OH.2013.29602
  • Lezak, M. D., Howieson, D. B., Bigler, E. D., & Tranel, D. (2012). Neuropsychological assessment (5th) ed.). Oxford University Press.
  • Magliano, D. J., & Boyko, E. J., IDF Diabetes Atlas 10th edition scientific committee. (2021). IDF DIABETES ATLAS (10th ed.). International Diabetes Federation.
  • Mansur, R. B., Lee, Y., Zhou, A. J., Carmona, N. E., Cha, D. S., Rosenblat, J. D., Bruins, R., Kakar, R., Rasgon, N. L., Lovshin, J. A., Wroolie, T. E., Sim, K., Brietzke, E., Gerstein, H. C., Rong, C., & McIntyre, R. S. (2018). Determinants of cognitive function in individuals with type 2 diabetes mellitus: A meta-analysis. Annals of Clinical Psychiatry: Official Journal of the American Academy of Clinical Psychiatrists, 30(1), 38–50. https://pubmed.ncbi.nlm.nih.gov/29373617/
  • Mehrabian, S., Raycheva, M., Gateva, A., Todorova, G., Angelova, P., Traykova, M., Stankova, T., Kamenov, Z., & Traykov, L. (2012). Cognitive dysfunction profile and arterial stiffness in type 2 diabetes. Journal of the Neurological Sciences, 322(1–2), 152–156. https://doi.org/10.1016/j.jns.2012.07.046
  • Monette, M. C., 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), 401–408. https://doi.org/10.1016/j.jcjd.2014.01.014
  • Näätänen, P., Aro, A., Matthiesen, S., & Salmela-Aro, K. (2003). Bergen Burnout Indicator-15. Edita.
  • Palta, P., Schneider, A. L., 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), 278–291. https://doi.org/10.1017/S1355617713001483
  • Pelimanni, E., & Jehkonen, M. (2019). Type 2 diabetes and cognitive functions in middle age: A meta-analysis. Journal of the International Neuropsychological Society, 25(2), 215–229. https://doi.org/10.1017/S1355617718001042
  • Peterson, L. R., & Peterson, M. J. (1959). Short-term retention of individual verbal items. Journal of Experimental Psychology, 58(3), 193–198. https://doi.org/10.1037/h0049234
  • Rawlings, A. M., Sharrett, A. R., Schneider, A. L., Coresh, J., Albert, M., Couper, D., Griswold, M., Gottesman, R. F., Wagenknecht, L. E., Windham, B. G., & Selvin, E. (2014). Diabetes in midlife and cognitive change over 20 years: A cohort study. Annals of internal medicine, 161(11), 785–793.
  • R Core Team. (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing. URL. https://www.R-project.org/
  • Sadanand, S., Balachandar, R., & Bharath, S. (2016). Memory and executive functions in persons with type 2 diabetes: A meta-analysis. Diabetes/Metabolism Research and Reviews, 32(2), 132–142. https://doi.org/10.1002/dmrr.2664
  • Vilkki, J., Virtanen, S., Surma-Aho, O., & Servo, A. (1996). Dual task performance after focal cerebral lesions and closed head injuries. Neuropsychologia, 34(11), 1051–1056. https://doi.org/10.1016/0028-3932(96)00028-0
  • Vincent, C., & Hall, P. A. (2015). Executive function in adults with type 2 diabetes: A meta analytic review. Psychosomatic Medicine, 77(6), 631–642. https://doi.org/10.1097/PSY.0000000000000103
  • 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), 223–230. https://doi.org/10.1016/j.pscychresns.2009.04.016