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Record W1983370210 · doi:10.1097/jom.0b013e3181b35144

Effects of Indoor, Outdoor, and Personal Exposure to Particulate Air Pollution on Cardiovascular Physiology and Systemic Mediators in Seniors

2009· article· en· W1983370210 on OpenAlexafffund
Ling Liu, Terrence D. Ruddy, Mary Dalipaj, Raymond Poon, Mieczysław Szyszkowicz, Hongyu You, Robert Dales, Amanda J. Wheeler

Bibliographic record

VenueJournal of Occupational and Environmental Medicine · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsHealth Canada
FundersUniversity of Ottawa
KeywordsMedicineOxidative stressBlood pressureBrachial arteryParticulatesSystemic inflammationInternal medicineInflammationHeart rateEndothelin receptorCardiologyPhysiologyEndocrinologyBiologyEcology

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate the associations between exposure to particulate air pollution and changes in cardiovascular function and plasma mediators in seniors. METHODS: We monitored daily indoor and outdoor black carbon and particulate matter < or = 2.5 microm (pm(2.5)) and personal pm(2.5) repeatedly for 28 nonsmoking seniors. We then measured their blood pressure, heart rate, and brachial artery function, and determined plasma mediators of inflammation, vascular function, and oxidative stress. We tested associations using mixed-effects models. RESULTS: Increases in black carbon and pm2.5 were associated with increases in blood pressure, heart rate, endothelin-1, vascular endothelial growth factor, and oxidative stress marker thiobarbituric acid reactive substances, and a decrease in brachial artery diameter (P < 0.05). CONCLUSION: Daily exposure to particulate pollution, likely traffic-related, may result in adverse effects on cardiovascular function and blood mediators that modulate vascular system in seniors.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.225
Threshold uncertainty score0.332

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.258
Teacher spread0.246 · 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 teacher head, 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

Citations119
Published2009
Admission routes2
Has abstractyes

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