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Household Air Pollution and Arthritis in Low- and Middle-Income Countries: Evidence from the World Health Organization's Study on Global Ageing and Adult Health

2018· article· en· W2902749286 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

VenueISEE Conference Abstracts · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineEnvironmental healthObesityInternal medicine

Abstract

fetched live from OpenAlex

Evidence points to a clear link between air pollution exposure and several chronic diseases. However, investigations regarding arthritis are still lacking. Ambient air pollution and smoking have been associated with a higher risk of rheumatoid arthritis, though the evidence regarding osteoarthritis is inconsistent. Further, most of this evidence stems from high-income countries. Household air pollution exposure may be an important risk factor for arthritis in low- and middle-income countries (LMICs) but is largely unstudied. Women in these regions can be exposed to high levels of air pollution through cooking activities. Women, in general, are also at higher risk of arthritis, compared to men. We examined household air pollution (electricity vs. gas/kerosene/paraffin; coal/charcoal/wood; or agriculture/crop/animal dung/shrubs/grass used for cooking) as a risk factor for arthritis in 6 LMICs (China, Ghana, India, Mexico, the Russian Federation and South Africa) using data from Wave I of the multiwave panel World Health Organization Study on Global AGEing and Adult Health (SAGE) (2007-2010). The use of liquid (aOR=1.73, 95%CI: 1.33-2.25) or solid (coal/charcoal/wood: aOR=1.73, 95%CI: 1.32-2.27; agriculture/crop/animal dung/shrubs/grass: aOR=2.00 (1.47-2.72) for cooking was strongly associated with an increased odds of arthritis, compared to electricity, in pooled weighted analyses. Sex (female), age (≥50 years), obesity (BMI ≥30.00) and the comorbidities angina pectoris, diabetes, chronic lung disease, depression and hypertension were also associated with a higher odds of arthritis. Underweight (BMI<18.50) and higher education levels (college/university completed/post-graduate) were associated with a lower odds of arthritis. This study is among the first to examine household air pollution in LMICs as a risk factor for arthritis. These findings suggest that exposure to household air pollution might be associated with an increased odds of arthritis in these regions.

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)0.001
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 score0.120
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.054
GPT teacher head0.313
Teacher spread0.258 · 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