Stress, <i>COMT</i> Polymorphisms, and Depressive Symptoms in Older Australian Women: An Exploratory Study
Bibliographic record
Abstract
OBJECTIVES: This exploratory study examined the association between exposure to stressful life events, polymorphisms (rs165774 and rs4680) in the catechol-O-methyltransferase (COMT) gene, and risk of depression in women. MATERIALS AND METHODS: A cross-sectional design gathered information from 150 Australia women, aged 60-70 years, on sociodemographics, stressful life events, and depressive symptoms. Participants also provided buccal cell swabs for genetic analysis. RESULTS: Among women exposed to stressful life events, the odds of depressive symptoms increased by 18% with each additional exposure (95% confidence interval [95% CI] 1.04-1.33, p = 0.007). Women who carried at least one "A" allele (AA/AG) for both rs165774 and rs4680 single nucleotide polymorphisms were less likely to report depressive symptoms (compared with women with the GG genotype; p = 0.019 and p = 0.037, respectively), although moderation analysis did not support the hypotheses of an interaction with stressful life events (rs165774: odds ratio [OR] = 1.13, 95% CI 0.87-1.46, p = 0.347; rs4680: OR = 1.15, 95% CI 0.91-1.44, p = 0.238). CONCLUSION: Our research suggests that women with polymorphisms in COMT were less susceptible to depressive symptoms but these polymorphisms do not appear to influence susceptibility to depression in those exposed to life stressors. Further research should consider other genetic variants in catecholamine pathways and their potential impact on women's mental health.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".