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Record W4390201848 · doi:10.1002/alz.078335

Associations between insulin‐like growth factor‐1 and executive function in normoglycemia, prediabetes, and type 2 diabetes mellitus

2023· article· en· W4390201848 on OpenAlexaff
Si Won Ryoo, Natasha Z. Anita, George Perlman, Lisa Y. Xiong, Che‐Yuan Wu, Jane Mitchell, Walter Swardfager

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsMcGill University Health CentreSunnybrook HospitalUniversity of Toronto
Fundersnot available
KeywordsPrediabetesMedicineGlycated hemoglobinDiabetes mellitusInternal medicineType 2 Diabetes MellitusType 2 diabetesInsulin resistanceInsulinVerbal fluency testNeuropsychologyCognitionEndocrinologyPsychiatry

Abstract

fetched live from OpenAlex

Abstract Background The relationship between insulin‐like growth factor‐1 (IGF‐1) and cognition has been studied in healthy individuals, yet the results have been inconclusive. The aim of this study was to determine whether the association between IGF‐1 and executive function differs in individuals with normoglycemia, prediabetes, and type 2 diabetes mellitus (T2DM). Method The Midlife in the United States (MIDUS) study used the Brief Test of Adult Cognition by Telephone (BTACT) to assess cognitive function. A composite z‐score for executive function was created from the following tests: Digits backward span, category fluency, number series, backward counting, and Stop and Go Switch Task (SGST). IGF‐1 levels were measured from fasting blood samples using an immunochemiluminescent assay. Normoglycemia was defined as individuals without a physician diagnosis of diabetes and glycated hemoglobin (HbA1c) < 5.6%. Prediabetes was defined as those without a physician diagnosis of diabetes and HbA1c between 5.7%‐6.4%. T2DM was defined as anyone with a physician diagnosis of diabetes, or HbA1c ≥6.5%, or use of oral hypoglycemic medication. Multiple imputation was used to handle missing covariate data. A linear regression model controlling for demographic factors, homeostatic model of insulin resistance (HOMA‐IR), C‐reactive protein (CRP) levels, exercise, smoking, sleep disturbance, alcohol intake and medication use, was used to determine the cross‐sectional association between IGF‐1 and executive function across subgroups. Result The MIDUS dataset included 447 normoglycemia (47.0% female, mean age 53.4±9.6), 467 prediabetes (57.4% female, mean age 56.8±10.6), and 271 T2DM participants (53.1% female, mean age 57.5±9.8). In participants with prediabetes, IGF‐1 levels were associated with better executive function (β = 0.126, p = 0.007), particularly in males (β = 0.258, p<0.001). This association was absent in individuals with normoglycemia or T2DM. Compared to males with prediabetes, the opposite trend was observed in males with T2DM (β = ‐0.181, p = 0.062). Conclusion The findings of this study suggest that the association between IGF‐1 and executive function may be influenced by insulin resistance or T2DM. Gaining a better understanding of why the associations differ in T2DM compared to prediabetes may explain the inconsistency observed in the literature and help elucidate the mechanism behind cognitive decline in T2DM.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.253
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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