Unspoken Struggles: Analyzing Marital Adjustment and Sexual Functioning in Patients with Depression and Anxiety — A 2012 Dataset Compared with Current Literature
Bibliographic record
Abstract
This study revisits a 2012 dataset examining marital adjustment and sexual functioning in patients with major depression and anxiety disorders, comparing its findings with recent literature. The 2012 data revealed significant correlations between depression and marital adjustment, but not with overall sexual functioning. However, depression was linked to orgasmic functioning and sexual satisfaction. In contrast, no significant correlations were observed in patients with anxiety disorders. T-test analysis revealed substantial differences between the clinical groups in terms of marital adjustment and sexual functioning. Recent studies continue to emphasize the negative impact of depression on marital satisfaction and sexual functioning, with many confirming the persistent relational challenges associated with mental health disorders. Additionally, current research highlights the role of gender dynamics, cultural factors, and psychosocial elements in shaping these outcomes. Recent findings also suggest that mediators such as sleep disturbances and life stage (e.g., postpartum) play a crucial role in the relationship between mental health and sexual well-being. Overall, these trends suggest that while the core relationships identified in 2012 remain consistent, additional factors are now recognized as important in understanding and addressing these complex issues.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".