Background: Type 2 diabetes mellitus (T2DM) is associated with deficits across multiple cognitive domains; however, the determinants of cognitive impairment in T2DM are not well characterized. We aimed to evaluate body mass index (BMI), glycemic control, and T2DM duration as moderators of cognitive dysfunction in T2DM.
Methods: We conducted a meta-analytic review of the literature reporting data on BMI, hemoglobin A1c (HbA1c), T2DM duration, and validated measures of processing speed (ie, Digit Symbol Substitution Test, Trail Making Test [TMT]-A), verbal learning and memory (ie, Rey Auditory Verbal Learning Test), and working memory/executive function (ie, TMT-B) among individuals with vs without T2DM.
Results: Individuals with T2DM demonstrated deficits across multiple cognitive domains (k = 40; n = 4,252 T2DM; n = 22,322 non-T2DM; effect sizes 0.21 to 0.35). Illness duration and BMI did not significantly moderate measures of cognition; however, higher HbA1c levels were significantly associated with deficits in measures of processing speed (R2 values 0.41 to 0.73, P < .01) and working memory/executive function (R2 = 0.62, P < .001).
Conclusions: Adults with T2DM exhibited significant deficits across multiple domains of cognitive function. Additionally, we identified an association between poorer glycemic control and cognitive dysfunction. A clinical translation of our findings relates to the reduction in morbidity by improving glycemic control.
Download full-text PDF |
Source |
---|
Endocrine
January 2025
Centro di Ricerca e Innovazione sulle Patologie Surrenaliche, AOU Careggi, Florence, Italy.
Purpose: To compare functional deficits associated to surgery with those caused by the growth of the head and neck paragangliomas (HNPGLs).
Methods: 72 patients with HNPGLs were included. Patients were divided in group A (49 patients undergoing surgery) and group B (23 patients following a wait and see approach).
J Prev Alzheimers Dis
February 2025
Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA; School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA.
Background: Recent disease-modifying treatments for Alzheimer's disease show promise to slow cognitive decline, but show no efficacy towards reducing symptoms already manifested.
Objectives: To investigate the efficacy of a novel noninvasive brain stimulation technique in modulating cognitive functioning in Alzheimer's dementia (AD).
Design: Pilot, randomized, double-blind, parallel, sham-controlled study SETTING: Clinical research site at UT Southwestern Medical Center PARTICIPANTS: Twenty-five participants with clinical diagnoses of AD were enrolled from cognition specialty clinics.
J Clin Exp Neuropsychol
January 2025
Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
Introduction: Diagnostic evaluations for attention-deficit/hyperactivity disorder (ADHD) are becoming increasingly complicated by the number of adults who fabricate or exaggerate symptoms. Novel methods are needed to improve the assessment process required to detect these noncredible symptoms. The present study investigated whether unsupervised machine learning (ML) could serve as one such method, and detect noncredible symptom reporting in adults undergoing ADHD evaluations.
View Article and Find Full Text PDFJ Clin Med
January 2025
Faculty of Physical Culture and Health, Institute of Physical Culture Sciences, University of Szczecin, Al. Piastów 40B Block 6, 71-065 Szczecin, Poland.
: Multiple sclerosis (MS) is the most prevalent incurable nontraumatic neurological disability in young individuals. It causes numerous symptoms, including tingling, fatigue, muscle spasms, cognitive deficits, and neuropsychiatric disorders. This disease significantly worsens quality of life (QoL), and this dimension of general functioning provides valuable information about the effectiveness of treatment and well-being.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
Plant Germplasm Introduction and Testing Research Unit, USDA-ARS, Prosser, WA 99350, USA.
Developing drought-resistant alfalfa ( L.) that maintains high biomass yield is a key breeding goal to enhance productivity in water-limited areas. In this study, 424 alfalfa breeding families were analyzed to identify molecular markers associated with biomass yield under drought stress and to predict high-merit plants.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!