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Record W4312086132 · doi:10.1002/alz.069339

APOE‐e4 Status Moderates Associations between Executive Function and Air Pollution Exposure in Older Men

2022· article· en· W4312086132 on OpenAlexaboutno aff
Carol E. Franz, Jeremy A. Elman, Christine Fennema‐Notestine, Nathan Whitsell, Tsung‐Chin Wu, Xin Tu, Yongmei Qin, William S. Kremen

Bibliographic record

VenueAlzheimer s & Dementia · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsGerontologyDemographyPsychologyEffects of sleep deprivation on cognitive performanceCognitionApolipoprotein EEnvironmental healthDementiaCognitive declineMontreal Cognitive AssessmentMedicineDiseaseCognitive impairmentInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Abstract Background Air pollution, which includes exposure to tiny particulate matter (PM2.5) and Nitrogen Dioxide (NO2) is a notable public health hazard. Exposure has adverse effects on multiple health outcomes as well as with increased risk of developing cognitive impairment and Alzheimer’s disease and related dementias. Although the primary cognitive focus in Alzheimer’s disease is memory, there is growing recognition of the importance of early executive function (EF) deficits as a risk indicator. In addition, there is some evidence of genetic susceptibility to pollution‐related cognitive decline. Few studies have strong measures of air pollution, EF, as well as APOE genotyping. We recently showed that APOE genotype was associated with significant decline in EF from middle to early old age among individuals who were cognitively unimpaired at baseline (Gustavson et al, 2022). Here we tested the hypothesis that the impact of air pollution on executive functions would be greater in APOE‐ε4+ carriers compared with APOE‐ε4‐ individuals. Method We examined associations between exposure in midlife and EF from midlife to early old age in ∼800 men from the Vietnam Era Twin Study of Aging. Measures included average PM2.5 and NO2 exposure in the three years prior to the time 1 (mean age 56; range 51‐61) assessment, and an executive function factor score at time 1 and time 2 (mean age 68; range 65‐72). GEE analyses adjusted for multiple health and lifestyle covariates, as well as the random effect of family. Result Cognitive performance declined over time from age 56 to age 68 (F = 439.38, p<0.0001). There were no main effects of air pollution on EF. Overall APOE‐ε4+ carriers had higher EF performance than non‐carriers (F = 5.43, p = 0.02). In addition, we found a significant PM2.5‐by‐APOE genotype interaction (F = 8.80, p = 0.003). Increased exposure to PM2.5 in midlife was related to lower executive function in APOE‐ε4 carriers, but not non‐carriers. The interaction with NO2 did not reach significance (F = 2.83, p = 0.09). Conclusion These results indicate that midlife PM2.5 exposure in men is associated with poorer frontal‐executive function, and APOEε4 carriers are more susceptible to the deleterious effects of PM2.5.

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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.284
Teacher spread0.249 · 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
Published2022
Admission routes1
Has abstractyes

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