Association of ambient air pollutants and cognitive impairment in a community‐dwelling elderly population: A four‐year cohort study
Bibliographic record
Abstract
Abstract Background Long‐term ambient air pollution has known to affect cognitive function. However, limited studies investigated the relationship between co‐exposure to ambient air pollutants and cognitive functions in non‐demented older adults. Therefore, this study aimed to explore this association in a community‐based prospective cohort study. Method This four‐year prospective cohort study is part of the ongoing Taiwan Initiative Geriatric Epidemiological Research (TIGER, 2011‐present) and included 286 non‐demented older adults between 2015‐2019. Ambient air pollution data were collected from 29 monitoring stations from Taiwan Environmental Protection Administration (TEPA) between 1994 and 2019. Global and domain‐specific (memory, attention, executive function, and language) cognitive functions were assessed using the Taiwanese version of Montreal Cognitive Assessment (MoCA‐T) and a battery of neuropsychological tests. The generalized linear mixed models were used to evaluate the association of co‐exposure to air pollutants with cognitive function adjusting for important covariates. Furthermore, we conducted stratified analyses by olfaction, known as an early marker of dementia. Result Except for PM2.5, the annual average exposure of the other five pollutants was below the TEPA standards. A 25‐year high‐level exposure of NO2 (≥ 27.7 ppb) was associated with good performance executive function (β = 0.25) over four years. For joint effect, high‐level (the highest tertile) PM2.5 with low to medium concentration level of NO2, CO, or SO2 were significantly associated with the poor performance of memory (β = ‐0.39 to ‐0.35). Similarly, high‐level PM2.5 with low to medium concentration level of NO2, PM10 with O3 were significantly associated with poor executive function (β = ‐0.28 to ‐0.19). In participants with normal olfaction, high co‐exposure level to PM2.5 and PM10, with CO, SO2, O3, and NO2 was significantly associated with poor memory and executive function (β = ‐0.55 to ‐0.30). No significant associations were found in participants with abnormal olfaction. Conclusion Long‐term low to medium‐level co‐exposure to NO2, CO, or SO2 and high‐level PM2.5 was associated with poor memory; co‐exposure to O3 with PM10 and co‐exposure to NO2 with PM2.5 was associated with poor executive function. A revision on exposure standards shall be considered to protect older adults at the preclinical phase of dementia.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".