Fasting Plasma Insulin, C-Peptide and Cognitive Change in Older Men without Diabetes: Results from the Physicians’ Health Study II
Bibliographic record
Abstract
BACKGROUND: Type 2 diabetes has been associated with diminished late-life cognition; less is known about relations of insulin levels and insulin secretion to cognitive change among persons without diabetes. We examined prospectively relations of fasting insulin levels and insulin secretion to cognitive decline among healthy, community-dwelling older men without diabetes. METHODS: Fasting plasma insulin and C-peptide (insulin secretion) levels were measured in 1,353 nondiabetic men, aged 60-92 years (mean = 71.3 years), in the Physicians' Health Study II, who participated in cognitive testing an average of 3.3 years later. Two assessments were administered 2 years apart (range = 1.5-4.0 years) using telephone-based tests (general cognition, verbal memory and category fluency). Primary outcomes were the Telephone Interview for Cognitive Status (TICS), global cognition (averaging all tests) and verbal memory (averaging 4 verbal tests). Multivariable linear regression models were used to estimate the relations of insulin and C-peptide to cognitive decline. RESULTS: Higher fasting insulin was associated with a greater decline on all tests, after adjustment. Findings were statistically significant for the TICS and category fluency, e.g. the multivariable-adjusted mean difference (95% CI) in decline for men with the highest versus lowest insulin levels was -0.62 (-1.15, -0.09) points on the TICS (p for trend = 0.04); this difference was similar to that between men 7 years apart in age. Similarly, there was a greater decline across all tests with increasing C-peptide, but the findings were statistically significant only for the global score (p for trend = 0.03). CONCLUSIONS: Higher fasting insulin and greater insulin secretion in older men may be related to overall cognitive decline, even in the absence of diabetes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".