44 research outputs found

    Insulin Resistance Predicts Cognitive Decline: An 11-Year Follow-up of a Nationally Representative Adult Population Sample

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    OBJECTIVEThe aim of this study was to examine whether insulin resistance, assessed by HOMA of insulin resistance (HOMA-IR), is an independent predictor of cognitive decline.RESEARCH DESIGN AND METHODSThe roles of HOMA-IR, fasting insulin and glucose, HbA(1c), and hs-CRP as predictors of cognitive performance and its change were evaluated in the Finnish nationwide, population-based Health 2000 Health Examination Survey and its 11-year follow-up, the Health 2011 study (n = 3,695, mean age at baseline 49.3 years, 55.5% women). Categorical verbal fluency, word-list learning, and word-list delayed recall were used as measures of cognitive function. Multivariate linear regression analysis was performed and adjusted for previously reported risk factors for cognitive decline.RESULTSHigher baseline HOMA-IR and fasting insulin levels were independent predictors of poorer verbal fluency performance (P = 0.0002 for both) and of a greater decline in verbal fluency during the follow-up time (P = 0.004 for both). Baseline HOMA-IR and insulin did not predict word-list learning or word-list delayed recall scores. There were no interactions between HOMA-IR and apolipoprotein E epsilon 4 (APOE epsilon 4) genotype, hs-CRP, or type 2 diabetes on the cognitive tests. Fasting glucose and hs-CRP levels at baseline were not associated with cognitive functioning.CONCLUSIONSOur results show that higher serum fasting insulin and insulin resistance predict poorer verbal fluency and a steeper decline in verbal fluency during 11 years in a representative sample of an adult population. Prevention and treatment of insulin resistance might help reduce cognitive decline later in life

    ΠœΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ синтСза Π°Ρ€Ρ…ΠΈΡ‚Π΅ΠΊΡ‚ΡƒΡ€Ρ‹ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ½ΠΎ-тСхничСского комплСкса Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ систСмы ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° обстановки

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    ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ ΠΊ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡŽ Π°Ρ€Ρ…ΠΈΡ‚Π΅ΠΊΡ‚ΡƒΡ€Ρ‹ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ½ΠΎ-тСхничСского комплСкса Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ систСмы ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° обстановки Π² Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΠΌ Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ, основанный Π½Π° классификации Ρ€Π΅ΡˆΠ°Π΅ΠΌΡ‹Ρ… Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… Π·Π°Π΄Π°Ρ‡ Π½Π° основС ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² кластСрного Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ Π²Ρ‹Π±Ρ€Π°Π½Π½ΠΎΠ³ΠΎ мноТСства ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΎΠ² подобия. Π Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½Ρ‹ΠΉ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ позволяСт ΠΈΠ· мноТСства Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΉ систСмы Π²Ρ‹Π΄Π΅Π»ΠΈΡ‚ΡŒ ΠΏΠΎΠ΄ΠΎΠ±Π½Ρ‹Π΅ (ΠΏΠΎ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½Ρ‹ΠΌ ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ°ΠΌ) ΠΈ ΠΎΠ±ΡŠΠ΅Π΄ΠΈΠ½ΠΈΡ‚ΡŒ ΠΈΡ… Π² Π°Ρ€Ρ…ΠΈΡ‚Π΅ΠΊΡ‚ΡƒΡ€Π½Ρ‹Π΅ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Ρ‹ (ΡƒΠ½ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Π΅ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Π΅ ΠΌΠΎΠ΄ΡƒΠ»ΠΈ).Π—Π°ΠΏΡ€ΠΎΠΏΠΎΠ½ΠΎΠ²Π°Π½ΠΎ ΠΏΡ–Π΄Ρ…Ρ–Π΄ Π΄ΠΎ проСктування Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΡƒΡ€ΠΈ Ρ†Π΅Π½Ρ‚Ρ€Ρƒ ΠΎΠ±Ρ€ΠΎΠ±ΠΊΠΈ Ρ–Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†Ρ–Ρ— Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·ΠΎΠ²Π°Π½ΠΎΡ— систСми ΠΌΠΎΠ½Ρ–Ρ‚ΠΎΡ€ΠΈΠ½Π³Ρƒ сСрСдовища Π² Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΠΌΡƒ часі, Ρ‰ΠΎ заснований Π½Π° класифікації Ρ„ΡƒΠ½ΠΊΡ†Ρ–ΠΎΠ½Π°Π»ΡŒΠ½ΠΈΡ… Π·Π°Π΄Π°Ρ‡ Π½Π° підставі ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ–Π² кластСрного Π°Π½Π°Π»Ρ–Π·Ρƒ Ρ– ΠΎΠ±Ρ€Π°Π½ΠΎΡ— ΠΌΠ½ΠΎΠΆΠΈΠ½ΠΈ ΠΎΠ·Π½Π°ΠΊ схоТості. Π ΠΎΠ·Ρ€ΠΎΠ±Π»Π΅Π½ΠΈΠΉ ΠΏΡ–Π΄Ρ…Ρ–Π΄ дозволяє Π²ΠΈΠ±Ρ€Π°Ρ‚ΠΈ Ρ–Π· ΠΌΠ½ΠΎΠΆΠΈΠ½ΠΈ Ρ„ΡƒΠ½ΠΊΡ†Ρ–ΠΉ систСми схоТі (Π·Π° ΠΏΠ΅Π²Π½ΠΈΠΌΠΈ ΠΎΠ·Π½Π°ΠΊΠ°ΠΌΠΈ) Ρ– ΠΏΠΎΡ”Π΄Π½Π°Ρ‚ΠΈ Ρ—Ρ… Π² Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΡƒΡ€Π½Ρ– ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ΠΈ (ΡƒΠ½Ρ–Ρ„Ρ–ΠΊΠΎΠ²Π°Π½Ρ– Ρ„ΡƒΠ½ΠΊΡ†Ρ–ΠΎΠ½Π°Π»ΡŒΠ½Ρ– ΠΌΠΎΠ΄ΡƒΠ»Ρ–).The approach to designing architecture of the information processing complex of the automated real time conditions monitoring system based on classification of functional tasks on the basis of methods of cluster analysis and the chosen set of similarity attributes is offered. The developed approach allows to allocate from a set of functions the systems similar (on certain attributes) and to unite them in architectural components (unified functional modules)

    The overlap between vascular disease and Alzheimer’s disease - lessons from pathology

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    ASSOCIATION OF LONG-TERM DIETARY FAT INTAKE, EXERCISE, AND WEIGHT WITH LATER COGNITIVE FUNCTION IN THE FINNISH DIABETES PREVENTION STUDY

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    Objectives: To investigate associations of long-term nutrient intake, physical activity and obesity with later cognitive function among the participants in the Finnish Diabetes Prevention Study, in which a lifestyle intervention was successful in diabetes prevention. Design: An active lifestyle intervention phase during middle age (mean duration 4 years) and extended follow-up (additional 9 years) with annual lifestyle measurements, followed by an ancillary cognition assessment. Setting: 5 research centers in Finland. Participants: Of the 522 middle-aged, overweight participants with impaired glucose tolerance recruited to the study, 364 (70%) participated in the cognition assessment (mean age 68 years). Measurements: A cognitive assessment was executed with the CERAD test battery and the Trail Making Test A on average 13 years after baseline. Lifestyle measurements included annual clinical measurements, food records, and exercise questionnaires during both the intervention and follow-up phase. Results: Lower intake of total fat (p=0.021) and saturated fatty acids (p=0.010), and frequent physical activity (p=0.040) during the whole study period were associated with better cognitive performance. Higher BMI (p= 0.012) and waist circumference (p= 0.012) were also associated with worse performance, but weight reduction prior to the cognition assessment predicted worse performance as well (decrease vs. increase, p= 0.008 for BMI and p= 0.002 for waist). Conclusions: Long-term dietary fat intake, BMI, and waist circumference have an inverse association with cognitive function in later life among people with IGT. However, decreases in BMI and waist prior to cognitive assessment are associated with worse cognitive performance, which could be explained by reverse causality.Peer reviewe
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