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Record W4409054576 · doi:10.1016/j.jare.2025.03.044

Loss of life expectancy attributed to long-term ozone exposure in Chinese older adults: Cross-cohort analysis from 3 national cohorts

2025· article· en· W4409054576 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Advanced Research · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsInstitute of Aging
FundersNational Health Commission of the People's Republic of ChinaMinistry of Education
KeywordsLife expectancyCohortGerontologyTerm (time)Cohort studyDemographyMedicineEnvironmental healthPopulationInternal medicine

Abstract

fetched live from OpenAlex

• A cross-cohort analysis of 3 national cohorts to investigate the ozone-mortality association in Chinese older adults. • Per 10-ppb increase in warm-season ozone was associated with a hazard ratio of 1.076 (95% CI: 1.050–1.102) for mortality. • Ozone exposure contributed to 0.88 million deaths and 9.05 million years of life lost, equivalent to a loss of life expectancy of 0.93 years in 2019. Cohort evidence linking ozone (O 3 ) exposure with mortality was sparsely investigated among the elderly in low- and middle-income countries. This study aims to quantify mortality risk and burden attributed to chronic O 3 exposure in Chinese older adults. A total of 30,874 older adults aged ≥65 years were recruited from 3 national dynamic cohorts across 29 provincial regions in China, 2005–2018. Annual warm-season (April–September) O 3 and year-round PM 2.5 concentrations were estimated through well-validated satellite-based spatiotemporal models and were assigned to participants for each survey year. Time-dependent Fragility Cox models with random intercept for study cohort were employed to quantify O 3 -mortality association, adjusting for demographic, behavioral, health, and environmental covariates. A counterfactual causal framework was used for assessment of O 3 -attributable premature deaths in older adults based on exposure–response relationship derived from multi-cohort two-pollutant analysis (+PM 2.5 ). Years of life lost and loss of life expectancy were subsequently evaluated based on the burden estimation model by incorporating the comparative risk assessment method and reference life tables. 16,939 death events occurred during 0.16 million person-years of follow-up surveys. Each 10-ppb increase in O 3 exposure was linked with a hazard ratio of 1.076 (95% confidence interval [CI]: 1.050, 1.102) for all-cause mortality. By achieving the counterfactual target (WHO AQG 2021) of 60 μg/m 3 for warm-season O 3 , 0.88 (95% CI: 0.60, 1.14) million premature deaths could be avoidable among Chinese older population in 2019, yielding an inconspicuous reduction of 0.11 million compared to the estimate in 2011 (0.99 million, 95% CI: 0.68, 1.28). O 3 -attributable deaths amounted to 9.05 (95% CI: 6.19, 11.70) million years of life lost in 2019, equivalent to a loss of life expectancy of 0.93 (95% CI: 0.63, 1.20) years for older population in China. Our multi-cohort analysis suggested that reducing ambient O 3 exposure could increase the life expectancy of Chinese older adults, which may contribute to the development of healthy aging strategies and national cleaning air policies.

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.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.424
Teacher spread0.392 · 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