Duration of type 2 diabetes and very low density lipoprotein levels are associated with cognitive dysfunction in metabolic syndrome

Divya Yogi-Morren, Rachel Galioto, Sarah Elizabeth Strandjord, L. Kennedy, Pooja Manroa, John P. Kirwan, Sangeeta Kashyap, John Gunstad

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Type 2 diabetes (T2D) is now recognized as an independent risk factor for accelerated cognitive decline and neurological conditions like Alzheimer's disease. Less is known about the neurocognitive function of T2D patients with comorbid metabolic syndrome, despite their elevated risk for impairment. Computerized testing in 47 adults with T2D that met criteria for NCEP metabolic syndrome revealed that cognitive impairment was prevalent, including 13% in tests of memory, 50% in attention, and 35% in executive function. Partial correlations showed that longer duration of diabetes was associated with poorer performance on tests of basic attention (r = - 0.43), working memory (r = 0.43), and executive function (r = 0.42). Strong associations between very low density lipoprotein and poor cognitive function also emerged, including tests of set shifting (r = 0.47) and cognitive inhibition (r = - 0.51). Findings suggest that patients with T2D that meet criteria for metabolic syndrome are at high risk for cognitive impairment. Prospective studies should look to replicate these findings and examine the possible neuroprotective effects of lipid-lowering medication in this population.

Original languageEnglish (US)
Article number656341
JournalCardiovascular Psychiatry and Neurology
Volume2014
DOIs
StatePublished - 2014
Externally publishedYes

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine
  • Psychiatry and Mental health

Fingerprint

Dive into the research topics of 'Duration of type 2 diabetes and very low density lipoprotein levels are associated with cognitive dysfunction in metabolic syndrome'. Together they form a unique fingerprint.

Cite this