The state of cognitive functions in patients with adult onset type 2 diabetes mellitus depending on sex, age and level of education
Background. According to the meta-analysis of studies, patients with diabetes mellitus (DM) have worse memory performance, information processing speed, executive functions compared to patients without DM. The level of education, the age of the patient are also important factors in the development of dementia. But research was conducted on selected populations, and the impact of demographic and social factors was studied in a particular area. The purpose of our work was to study the influence of sex, age, education level on the state of cognitive function in patients with type 2 DM in the Ukrainian population. Materials and methods. Eighty one patients with type 2 DM were examined, including 43 women and 38 men. Evaluation of the cognitive impairment was carried out in the morning using the following methods: a “5 words” test, a mental status assessment scale, a battery of tests for frontal dysfunction, an assessment of a clock drawing test. Results. The average age of patients was 55.03 ± 0.37 years, the average level of HbA1c — 8.75 ± 0.16 %, the average duration of DM — 10.03 ± 1.03 years. There was no reliable difference between men and women in the performance of neuropsychological tests. Also, no differences were found between the groups by age and level of education and the state of cognitive function. But the negative effect of age on cognitive function was found according to the Mini-Mental State Examination. Conclusions. A negative relationship between age and the state of cognitive functions was found. It is necessary to carry out further studies on the effect of other socio-cultural factors on the state of cognitive function in patients with type 2 DM.
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Palta P, Schneider AL, Biessels GJ, Touradji P, Hill-Briggs F. 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. J Int Neuropsychol Soc. 2014;20:278-91. doi: 10.1017/S1355617713001483.
Van den Berg E, Kloppenborg RP, Kessels RP, Kappelle LJ, Biessels GJ. Type 2 diabetes mellitus, hypertension, dyslipidemiaand obesity: a systematic comparison of their impact on cognition. Biochim Biophys Acta. 2014;1792:470-81. doi: 10.1016/j.bbadis.2008.09.004.
Ohara T, Doi Y, Ninomiya T, Hirakawa Y, Hata J, Iwaki T, Kanba S, Kiyohara Y. Glucose tolerance status and risk of dementia in the community: the Hisayama study. Neurology. 2011;77(12):1126-1134. doi: 10.1212/WNL.0b013e31822f0435.
Cheng G, Huang C, Deng H, Wang H. Diabetes as a risk factor for dementia and mild cognitive impairment: a meta-analysis of longitudinal studies. Intern Med J. 2012;42(5):484-91. doi: 10.1111/j.1445-5994.2012.02758.x.
Koekkoek P, Jaap Kappelle L, van den Berg E, Rutten E, Biessels GJ. Cognitive function in patients with diabetes mellitus: guidance for daily care. Lancet Neurol. 2015;14(3):329-40. doi: 10.1016/S1474-4422(14)70249-2.
Bruce DG, Davis WA, Casey GP, Starkstein SE, Clarnette RM, Foster JK, Almeida OP, Davis TM. Predictors of cognitive impairment and dementia in older people with diabetes. Diabetologia. 2008;51(2):241-48. doi: 10.1007/s00125-007-0894-7.
Biessels GJ, Strachan MW, Visseren FL, Kappelle LJ, Whitmer RA. Dementia and cognitive decline in type 2 diabetes and prediabetic stages: towards targeted interventions. Lancet Diabetes Endocrinol. 2014;2(3):246-55. doi: 10.1016/S2213-8587(13)70088-3.
Zherdeva NM. The influence of peripheral diabetic sensorimotor neuropathy on the state of cognitive function in elderly patients with type 2 diabetes mellitus. Mezhdunarodnyi Endokrinologicheskii Zhurnal. 2017;13(4):244-8. doi: 10.22141/2224-07220.127.116.117.106649.
Godbole S, Godbole G, Vaidya S. Influence of education on cognitive function in the elderly population of Pune city, Maharashtra, India. Int J Res Med Sci. 2016;4(9):4119-22. doi: 10.18203/2320-6012.ijrms20162945.
Pangman VC, Sloan J, Guse L. An Examination of Psychometric Properties of the Mini-Mental State Examination and the Standardized Mini-Mental State Examination: Implications for Clinical Practice. Appl Nurs Res. 2000 Nov;13(4):209-13. doi: 10.1053/apnr.2000.9231.
Lavarone A, Ronga B, Pellegrino L, et al. The Frontal Assessment Battery (FAB): normative data from an Italian sample and performances of patients with Alzheimer’s disease and frontotemporal dementia. Functional Neurology. 2004;19(3):191-195. PMID: 15595714.
Kopp B, Rösser N, Tabeling S,et al. Performance on the Frontal Assessment Battery is sensitive to frontal lobe damage in stroke patients. BMC Neurol. 2013 Nov 16;13:179. doi: 10.1186/1471-2377-13-179.
Colom R, Juan-Espinosa M, Abad F, Garcia L. Negligible Sex Differences in General Intelligence. INTELLIGENCE. 2000;28(1):57-68.
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