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Record W4292225500 · doi:10.31557/apjcb.2017.2.2.47

Air pollution and breast cancer in Iranian women living in Tehran Metropolis

2017· article· en· W4292225500 on OpenAlexaff
Alireza Mosavi Jarrahi

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsBreast cancerEnvironmental healthMedicineSocioeconomicsDemographyCancerSociologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract: Objective: This study aimed to evaluate the possible association between air pollution and breast cancer in women living in polluted urban area Methods: A frequency (five years age group) matching case-control study was conducted among women living Tehran Metropolis. Ambient carbon dioxide (CO2) as an indicator of exposure to air pollution and particulate matter 10 (PM10) as a carcinogen were used as exposure. Concentrations of the two indicators for the residential address of cases and control for the last five years were obtained from office of Tehran Air Quality Control Bureau (TAQB). All subjects were interviewed by phone and information about other risk factors (hormonal, behavioral anthropometric, and socio-economics) were obtained. Multivariate logistic regression model was used to estimate the odds ratios adjusted for confounding variables. CO2 entered into in the model as a continuous variable and PM10 was categorized as PM10 ≤ 1 VS 1 < PM10. Results: A total of 300 cases and 270 controls participated in the study. The mean age for cases and controls were 51.93 and 51.45 years, respectively. The distribution of air pollution throughout the study area indicated a large variation from a minimum of zero (no detectable) to a value of 16165.2612 µg/m3 for CO2. This figures were 0.03441 to 8.3242 µg/m3 for PM10. In average cases tend to live in areas with higher pollution indicators than controls PM10 was (PM10 < 1 µg/m3 = 107), (1 < PM10 <2 µg/m3 = 83) and (PM10 > 2 µg/m3 = 97) for cases and (PM10 < 1 µg/m3 = 108), (1 < PM10 < 2 µg/m3 = 87) and (PM10 > 2 µg/m3 = 105) for controls. Also CO2 index was a significant different with control groups as mean was (3943.87±3.50 µg/m3) for controls and (3199.84±2.72 µg/m3) for cases (P-value= 0.03). logCO2 as general indicator of exposure to air pollution was not observed association with breast cancer (OR = 1.218 and CI 95% 1.000 to 1.000). subjects in the case and control groups had no significant difference in terms of the level of PM10 index (OR = 1.047 and CI 95% 1.005 to 7.278). Conclusion: According to the results of this study, risk of breast cancer increases in women with exposure to air pollution, which denotes air pollution as a potential risk factor of breast cancer.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.208
GPT teacher head0.551
Teacher spread0.343 · 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
Published2017
Admission routes1
Has abstractyes

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