Metabolic syndrome and risk of incident dementia in EPIC‐Norfolk: the role of age and exposure duration
Bibliographic record
Abstract
Abstract Background Metabolic syndrome (MetS) might be a modifiable risk factor for dementia. However, the impact of mid‐life versus late‐life MetS and the duration living with MetS on dementia risk remains underexplored. This study investigated whether the association between MetS and risk of dementia differs across mid‐life versus late‐life, and to explore how duration of MetS influences this risk. Method We conducted a prospective study using data from the European Prospective Investigation into Cancer—Norfolk (EPIC‐Norfolk). In full cohort analyses, we studied 20,150 dementia‐free adults aged ≥50 years who attended baseline assessments. Group‐based trajectory analysis was performed on 12,756 participants who attended ≥2 health assessments over 20 years. MetS was defined as the presence of ≥3 of the following: elevated waist‐circumference, triglycerides, blood‐pressure, HbA1c, or reduced HDL‐cholesterol. Incident all‐cause dementia was ascertained using hospital inpatient, death, and mental healthcare records. Result The mean (standard deviation [SD]) age of participants was 62.6 (7.5) years, and 54% were female. Over 25 years of follow‐up (mean 18.8 [SD 6.3]), 2,653 participants developed dementia. In the overall cohort (all ages: 50‐79 years), MetS was associated with an increased risk of dementia (Hazard‐Ratio [HR], 1.11, 95% Confidence‐Interval [CI]: 1.01‐1.21). Age‐specific analyses revealed that this risk only remained in those with late mid‐life MetS (age 60‐69: HR, 1.21, 95%CI: 1.05‐1.39) but not in early mid‐life (age 50‐59: HR, 1.12, 95%CI: 0.87‐1.43) or late‐life (age 70‐79: HR, 0.96, 95%CI: 0.81‐1.14). An increasing number of MetS components was also associated with heightened dementia risk, specifically in late mid‐life (P trend = 0.004). Those with a prolonged duration of MetS had a 26% increased risk of developing dementia (HR 1.26, 95%CI: 1.13‐1.40) when compared to those with consistently low MetS. No association was found for increasing MetS (HR, 1.01, 95%CI: 0.88‐1.17). Conclusion Late mid‐life MetS was associated with a significantly increased risk of developing dementia. A prolonged duration of living with MetS also elevated dementia risk. These findings provide insights regarding critical periods of dementia risk in the context of MetS, and highlight the importance of not only considering the presence/absence of MetS, but also exposure duration when devising dementia prevention strategies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".