Dyadic Associations between Body Mass Index, Stress and Type 2 Diabetes Complications
Bibliographic record
Abstract
Type 2 diabetes (T2DM) can result in complications, including kidney problems or cardiovascular disease.Intrapersonal risk factors such as body mass index (BMI) and stress have been associated with increased odds of developing T2DM complications.However, little is known about interpersonal risk factors.The present study aimed to test associations among partner's BMI, partner's stress and T2DM complications development among married couples in which one partner has diabetes and if negative marital quality moderates these associations.Data (n=274) came from the Health and Retirement Study.BMI, stress, diabetes status and complications were self-reported at baseline (2006).Complications were assessed every two years from 2008-2016.Data were analyzed using logisitic regression models.Unadjusted and adjusted models revealed no associations among partner BMI, partner stress, and incident T2DM complications, p>0.05.Furthermore, marital quality did not moderate these associations, p>0.05.Future research should consider other interpersonal risk factors onto intrapersonal health outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".