Home and epigenome: exploring the role of DNA methylation in the relationship between poor housing quality and depressive symptoms
Bibliographic record
Abstract
Introduction Poor housing quality associates with risk for depression. However, previous research often lacks consideration of socioeconomic status (SES) baseline depressive symptoms and biological processes, leading to concerns of confounding and reverse causation. Methods In a sample of up to 9669 adults, we investigated cross-sectional and longitudinal associations between housing quality (assessed at age 28, 1-year and 2 year follow-ups) and depressive symptoms (at four intervals between enrolment and 18-year follow-up). In subsamples (n=871, n=731), we investigated indirect effects via DNA methylation. Results Poor housing quality associated with depressive symptoms cross-sectionally (beta range: 0.02–0.06) after controlling for SES and other factors. Longitudinally, this association persisted at the ~2 year, but not the ~18-year follow-up period. Indirect effects (β=0.002–0.012) linked to genes related to ageing, obesity and brain health. Conclusion These results highlight poor housing quality as a risk factor for depression and the potential role of DNA methylation in this association.
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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 | 0.009 | 0.002 |
| 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 | 0.000 |
| 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".