People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
Verhey, Frans
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (3/3 displayed)
- 2023White Matter Hyperintensity Volume and Poststroke Cognition: An Individual Patient Data Pooled Analysis of 9 Ischemic Stroke Cohort Studiescitations
- 2017The role of hyperglycemia, insulin resistance, and blood pressure in diabetescitations
- 2017Insulin resistance and cognitive performance in type 2 diabetes - The Maastricht studycitations
Places of action
Organizations | Location | People |
---|
article
Insulin resistance and cognitive performance in type 2 diabetes - The Maastricht study
Abstract
Aims: Type 2 diabetes, hyperinsulinemia, and insulin resistance are associated with cognitive impairment. Experimental studies indicate that insulin signaling in the brain is related to cognitive performance. Here we evaluated whether insulin-related variables contribute to the variance in cognitive performance among individuals with type 2 diabetes. Methods: A total of 806 individuals with type 2 diabetes (mean age 62 +/- 8 years, HbAlc 6.9 +/- 1.1%) completed a neuropsychological test battery. Insulin-related variables evaluated were: fasting plasma insulin, C-peptide, and the Homeostasis Model Assessment (HOMA2-IR; in individuals without insulin treatment; n = 641). The unadjusted coefficient of determination (R-2), obtained from multiple linear regression analyses, was used to estimate the proportion of variance in cognition explained by insulin-related variables. Results: Sex, age, and educational level together explained 18.0% (R-2) of the variance in memory function, 26.5% in information processing speed, and 22.8% in executive function and attention. Fasting insulin, C-peptide, or HOMA2-IR did not increase the explained variance (maximum Delta R-2 0.3%, P >= 0.14). Similar results were obtained when insulin-related variables were added to models that additionally included glycemic control, cardiovascular risk factors, and depression. Conclusions: Our results show that measures of peripheral insulin resistance are unrelated to cognitive performance among individuals with adequately controlled type 2 diabetes.