44 research outputs found
Insulin Resistance Predicts Cognitive Decline: An 11-Year Follow-up of a Nationally Representative Adult Population Sample
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
ΠΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ ΡΠΈΠ½ΡΠ΅Π·Π° Π°ΡΡ ΠΈΡΠ΅ΠΊΡΡΡΡ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎ-ΡΠ΅Ρ Π½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ° Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΎΠ±ΡΡΠ°Π½ΠΎΠ²ΠΊΠΈ
ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π°ΡΡ
ΠΈΡΠ΅ΠΊΡΡΡΡ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎ-ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ° Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΎΠ±ΡΡΠ°Π½ΠΎΠ²ΠΊΠΈ Π² ΡΠ΅Π°Π»ΡΠ½ΠΎΠΌ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΠΉ Π½Π° ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΡΠ΅ΡΠ°Π΅ΠΌΡΡ
ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
Π·Π°Π΄Π°Ρ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΊΠ»Π°ΡΡΠ΅ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ Π²ΡΠ±ΡΠ°Π½Π½ΠΎΠ³ΠΎ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²Π° ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ² ΠΏΠΎΠ΄ΠΎΠ±ΠΈΡ. Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΈΠ· ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²Π° ΡΡΠ½ΠΊΡΠΈΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Π²ΡΠ΄Π΅Π»ΠΈΡΡ ΠΏΠΎΠ΄ΠΎΠ±Π½ΡΠ΅ (ΠΏΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΠΌ ΠΏΡΠΈΠ·Π½Π°ΠΊΠ°ΠΌ) ΠΈ ΠΎΠ±ΡΠ΅Π΄ΠΈΠ½ΠΈΡΡ ΠΈΡ
Π² Π°ΡΡ
ΠΈΡΠ΅ΠΊΡΡΡΠ½ΡΠ΅ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΡ (ΡΠ½ΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ ΠΌΠΎΠ΄ΡΠ»ΠΈ).ΠΠ°ΠΏΡΠΎΠΏΠΎΠ½ΠΎΠ²Π°Π½ΠΎ ΠΏΡΠ΄Ρ
ΡΠ΄ Π΄ΠΎ ΠΏΡΠΎΠ΅ΠΊΡΡΠ²Π°Π½Π½Ρ Π°ΡΡ
ΡΡΠ΅ΠΊΡΡΡΠΈ ΡΠ΅Π½ΡΡΡ ΠΎΠ±ΡΠΎΠ±ΠΊΠΈ ΡΠ½ΡΠΎΡΠΌΠ°ΡΡΡ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΎΠ²Π°Π½ΠΎΡ ΡΠΈΡΡΠ΅ΠΌΠΈ ΠΌΠΎΠ½ΡΡΠΎΡΠΈΠ½Π³Ρ ΡΠ΅ΡΠ΅Π΄ΠΎΠ²ΠΈΡΠ° Π² ΡΠ΅Π°Π»ΡΠ½ΠΎΠΌΡ ΡΠ°ΡΡ, ΡΠΎ Π·Π°ΡΠ½ΠΎΠ²Π°Π½ΠΈΠΉ Π½Π° ΠΊΠ»Π°ΡΠΈΡΡΠΊΠ°ΡΡΡ ΡΡΠ½ΠΊΡΡΠΎΠ½Π°Π»ΡΠ½ΠΈΡ
Π·Π°Π΄Π°Ρ Π½Π° ΠΏΡΠ΄ΡΡΠ°Π²Ρ ΠΌΠ΅ΡΠΎΠ΄ΡΠ² ΠΊΠ»Π°ΡΡΠ΅ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΡΠ·Ρ Ρ ΠΎΠ±ΡΠ°Π½ΠΎΡ ΠΌΠ½ΠΎΠΆΠΈΠ½ΠΈ ΠΎΠ·Π½Π°ΠΊ ΡΡ
ΠΎΠΆΠΎΡΡΡ. Π ΠΎΠ·ΡΠΎΠ±Π»Π΅Π½ΠΈΠΉ ΠΏΡΠ΄Ρ
ΡΠ΄ Π΄ΠΎΠ·Π²ΠΎΠ»ΡΡ Π²ΠΈΠ±ΡΠ°ΡΠΈ ΡΠ· ΠΌΠ½ΠΎΠΆΠΈΠ½ΠΈ ΡΡΠ½ΠΊΡΡΠΉ ΡΠΈΡΡΠ΅ΠΌΠΈ ΡΡ
ΠΎΠΆΡ (Π·Π° ΠΏΠ΅Π²Π½ΠΈΠΌΠΈ ΠΎΠ·Π½Π°ΠΊΠ°ΠΌΠΈ) Ρ ΠΏΠΎΡΠ΄Π½Π°ΡΠΈ ΡΡ
Π² Π°ΡΡ
ΡΡΠ΅ΠΊΡΡΡΠ½Ρ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠΈ (ΡΠ½ΡΡΡΠΊΠΎΠ²Π°Π½Ρ ΡΡΠ½ΠΊΡΡΠΎΠ½Π°Π»ΡΠ½Ρ ΠΌΠΎΠ΄ΡΠ»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)
ASSOCIATION OF LONG-TERM DIETARY FAT INTAKE, EXERCISE, AND WEIGHT WITH LATER COGNITIVE FUNCTION IN THE FINNISH DIABETES PREVENTION STUDY
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