Evidence map›Paper›PMID 37567373›Full record

ArticlePhysiology & behavior2023

Adiposity and insulin resistance moderate the links between neuroelectrophysiology and working and episodic memory functions in young adult males but not females.

Brittany A Larsen, Brandon S Klinedinst, Tovah Wolf, Kelsey E McLimans, Qian Wang, Amy Pollpeter, Tianqi Li, Parvin Mohammadiarvejeh, Mohammad Fili, John G Grundy and 1 more

Open access · greenAbstract read
In one paragraph

Article in Physiology & behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 1 country.

Brittany A LarsenDepartment of Behavioral Science, MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, United States of America.
Brandon S KlinedinstDepartment of Medicine, University of Washington, RR-512, Health Sciences Building, Box 356420, 1959 NE Pacific St., Seattle, Washington, 98195, United States of America.
Tovah WolfLifecare Alliance, 1699 W Mound St., Columbus, Ohio, 43223, United States of America.
Kelsey E McLimansNutrition and Dietetics Department, Viterbo University, 900 Viterbo Dr., La Crosse, Wisconsin, 54601, United States of America.
Qian WangDepartment of Food Science and Human Nutrition, College of Human Sciences, Iowa State University, 2312 Food Sciences Building, 536 Farm House Ln., Ames, Iowa, 50011, United States of America.
Amy PollpeterBioinformatics and Computational Biology Graduate Program, Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, 1800 Christensen Dr., Ames, Iowa, 50011, United States of America.
Tianqi LiGenetics and Genomics Graduate Program, Department of Food Science and Human Nutrition, College of Human Sciences, Iowa State University, 2312 Food Sciences Building, 536 Farm House Ln., Ames, Iowa, 50011, United States of America.
Parvin MohammadiarvejehDepartment of Industrial and Manufacturing Systems Engineering, College of Engineering, Iowa State University, 3004 Black Engineering, 2529 Union Dr., Ames, Iowa, 50011, United States of America.
Mohammad FiliDepartment of Industrial and Manufacturing Systems Engineering, College of Engineering, Iowa State University, 3004 Black Engineering, 2529 Union Dr., Ames, Iowa, 50011, United States of America.
John G GrundyDepartment of Psychology, College of Liberal Arts and Sciences, Iowa State University, 901 Stange Rd., Ames, Iowa, 50011, United States of America.
Auriel A WilletteDepartment of Food Science and Human Nutrition, College of Human Sciences, Iowa State University, 2312 Food Sciences Building, 536 Farm House Ln., Ames, Iowa, 50011, United States of America; Department of Psychology, College of Liberal Arts and Sciences, Iowa State University, 901 Stange Rd., Ames, Iowa, 50011, United States of America; Department of Neurology, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, 200 Hawkins Dr., 2007 Roy Carver Pavilion, Iowa City, Iowa, 52242, United States of America. Electronic address: aurielwillette@gmail.com.
Iowa State University · USMemorialCare Health System · USThe University of Texas MD Anderson Cancer Center · USUniversity of Iowa · USUniversity of Washington · USViterbo University · US

Funding

Insulin Resistance, Biomarkers of Brain Function, and Intermittent Calorie RestrictionR00AG047282 · NIA · IOWA STATE UNIVERSITY · PI WILLETTE, AURIEL · 2016 to 2021
$730k
NIA NIH HHS R00 AG047282
6 · The paper itself

Abstract

introductionObesity and insulin resistance negatively influence neural activity and cognitive function, but electrophysiological mechanisms underlying these interrelationships remain unclear. This study investigated whether adiposity and insulin resistance moderated neural activity and underlying cognitive functions in young adults.

methodsReal-time electroencephalography (EEG) was recorded in 38 lean (n = 12) and obese (n = 26) young adults with (n = 15) and without (n = 23) insulin resistance (18-38 years, 55.3% female) as participants completed three neurocognitive tasks in working memory (Operation Span), inhibitory control (Stroop), and episodic memory (Visual Association Test). Body fat percentage was quantified by a dual-energy X-ray absorptiometry scan (DEXA/DXA). Fasting serum insulin and glucose were quantified to calculate Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) values, for which a higher value indicates more insulin resistance. Hierarchical moderated regression analysis tested these interrelationships.

resultsIn males, greater frontal negative slow wave (fNSW) and positive slow wave (PSW) amplitudes were linked to higher working memory accuracy in participants with low, but not high, body fat percentage and HOMA-IR levels. In contrast, body fat percentage and HOMA-IR did not moderate these associations in females. Furthermore, body fat percentage and HOMA-IR values moderated the relationship between greater fNSW amplitudes and better episodic memory accuracy in males, but not females. Finally, body fat percentage and insulin resistance did not moderate the link between neural activity and inhibitory control for either sex.

conclusionYoung adult males, but not females, with higher body adiposity and insulin resistance showed reduced neural activity and worse underlying working and episodic memory functions.

Indexed as

Insulin ResistanceMemory, EpisodicAdiposityFemaleGlucoseHumansInsulinMaleObesityYoung AdultGlucoseInsulinAdiposityCognitive functionElectroencephalography (EEG)Event-related potentials (ERPs)Insulin resistance

Identifiers

PMID37567373
PMCPMC10592072
OpenAlexW4385708804

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.