Diurnal blood pressure loads are associated with lower cognitive performances in controlled-hypertensive elderly individuals
Bibliographic record
Abstract
INTRODUCTION: Hypertension in midlife adults is associated with cognitive decline later in life. In individuals treated for hypertension, blood pressure (BP) loads have been associated with end organ damages. This study examines whether BP load inversely correlates with performance in cognitive tasks in normotensive or controlled hypertensive (CHT) individuals. METHODS: Participants between 60 and 75 years old were divided into normotensive participants who did not receive antihypertensive treatment (n = 49) and CHT patients (n = 28). They were evaluated for BP using ambulatory blood pressure monitoring and cognitive functions with tests assessing cognitive flexibility, working and episodic memory, and processing speed. RESULTS: Analysis of covariance between normotensive and CHT participants revealed lower cognitive performances on immediate and delayed recall and total number of words of the Rey Auditory Verbal Learning Test (P < 0.001). Spearman's correlations between BP loads and cognitive performances revealed inversed associations between diurnal systolic (SBP) loads and performances on the Trail Making Test Part B (TMTB) (P = 0.009), the TMTB-TMT Part A (P = 0.013), the Switching Cost of the color-word interference test (P = 0.020) and the Digit-Symbol Substitution Score tests (P = 0.018) in CHT. Diurnal diastolic (DBP) loads were inversely correlated to the TMTB (P = 0.014) and TMTB-TMT Part A (P = 0.006). In normotensive subjects, diurnal SBP loads were associated with the delayed recall of the Rey Auditory Verbal Learning Test (P = 0.031) and to the three components of the digit span (P < 0.05). CONCLUSION: Diurnal BP loads are associated with lower cognitive performances in CHT individuals. These results suggest a lowering of target levels of diurnal BPs and/or its variability.
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 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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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".