Gender differences in the association between lifestyle behaviors and diabetes distress in a community sample of adults with type 2 diabetes
Bibliographic record
Abstract
BACKGROUND: The present study examined the association between moderate and severe diabetes distress (DD) and lifestyle behaviors (physical activity, smoking, alcohol consumption) in a community sample of adults with type 2 diabetes mellitus (T2DM). METHODS: A total of 1971 adults with T2DM were recruited using mixed methods sampling. Participants were considered eligible if they had a doctor diagnosis of T2DM (≤10 years), were insulin naïve, aged 40-75 years, and were from Quebec, Canada. Participants provided information on DD, lifestyle behaviors, sociodemographic, and diabetes-related factors. Multinomial logistic regressions examined the association between moderate and severe DD and each lifestyle behavior, according to gender. Effect estimates can be interpreted as probability ratios (PR). RESULTS: In females, physical inactivity was associated with an increased likelihood of moderate distress (PR 2.2; 95% confidence interval [CI] 1.49-3.24) and severe distress (PR 1.80; 95% CI 1.00-3.24). In males, only severe distress was associated with physical inactivity (PR 1.92; 95% CI 1.00-3.66). Current smoking was associated with a greater probability of severe distress in males (PR 3.0; 95% CI 1.54-5.84) and females (PR 1.32; 95% CI 0.67-2.60); however this effect was stronger in males. No association was found between alcohol consumption and DD in females. In males, frequent alcohol consumption was associated with a reduced probability of moderate (PR 0.56; 95% CI 0.34-0.91) and severe distress (PR 0.47; 95% CI 0.21-1.06). CONCLUSIONS: The findings of this study suggest important gender differences in the association between DD and lifestyle behaviors.
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 | 0.002 | 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".