Do Organochlorine Substances Mediate the Association between Age and Type II Diabetes?
Bibliographic record
Abstract
Do Organochlorine Substances Mediate the Association between Age and Type II Diabetes? Aaron Sobkowicz*, Azadeh Alimidad, Lawrence C. McCandless, Gordon L. Grenon, and Scott A. Venners Aaron Sobkowicz* Simon Fraser University, Faculty of Health Sciences, Canada, E-mail Address: [email protected] Search for more papers by this author , Azadeh Alimidad Simon Fraser University, Faculty of Health Sciences, Canada, E-mail Address: [email protected] Search for more papers by this author , Lawrence C. McCandless Simon Fraser University, Faculty of Health Sciences, Canada, E-mail Address: [email protected] Search for more papers by this author , Gordon L. Grenon Simon Fraser University, Faculty of Health Sciences, Canada, E-mail Address: [email protected] Search for more papers by this author , and Scott A. Venners Simon Fraser University, Faculty of Health Sciences, Canada, E-mail Address: [email protected] Search for more papers by this author AbstractBackground: The association between some organochlorine substances and type II diabetes (T2D) is well-established. Thus, the positive association between age and T2D might be caused, in part, by increasing body-burdens of organochlorine substances with age.Methods: We used cycle 1 (2007-2009) of the Canadian Health Measures Survey, a stratified random sample representing 96% of Canadians. T2D was defined as any of 1) glycosylated haemoglobin >= 6.5%; 2) fasting glucose >= 7.0 mmol/L; 3) diabetic medication use; or 4) self-reported doctor’s diagnosis of T2D. We included 18 organochlorine substances detectable in plasma of 60% or more of participants aged 20-79 (see table 1). We used causal mediation analysis [1] to quantify percentages of the association between age and T2D mediated by each organochlorine substance.Results: We found statistically significant (two-sided alpha=0.05) mediation of the association between age and T2D by six organochlorine substances: beta-hexachlorocyclohexane percentage mediated (95% confidence interval) = 11.1% (4.1%, 18.8%); oxychlordane = 31.6% (6.9%, 55.0%); trans-nonachlor = 34.6% (0.5%, 70.2%); chlordane = 32.9% (5.9%, 57.5%); PCB118 = 24.0% (9.7%, 39.7%); and PCB138 = 19.8% (1.8%, 37.8%). See table 1 for complete results.Conclusions: Our results support the hypothesis that the higher prevalence of T2D among older Canadians is partly mediated by higher body burdens of organochlorine substances. Reference: (1) Am J Epidemiol. (2010) 172(12):1339-48.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".