0830 Effects of Intimacy and Adult Attachment on Sleep in Colorectal Cancer Patients: Preliminary Report
Bibliographic record
Abstract
Sleep disturbance is a prominent concern for cancer patients. Sleep is optimized when the individual feels emotionally safe, which is reflected in close relationships and intimacy. Cancer diagnosis threatens the close relationship between patients and their partner, which activates one's attachment internal working model and can be manifested in poor sleep. This study examined the degree to which intimacy and adult attachment is associated with sleep efficiency and sleep quality among adult colorectal cancer patients across 14 days. Colorectal cancer patients (n=24; 56 years old; 37% female) completed daily intimacy and sleep logs individually across 14 consecutive days. Three items regarding feeling cared for, validated, and understood by one's partner were used to measure intimacy. Sleep efficiency was assessed with the Consensus Sleep Diary, and a single item was used to measure sleep quality. Patients self-reported adult attachment orientations (MAQ: security, avoidance, and anxiety) around the time of diagnosis. Age, gender, and cancer stage were covariates. Patients reported fair sleep efficiency (M=91%) and sleep quality (M=3.64). Multilevel modeling was employed to separately predict patients' sleep efficiency (SE) and sleep quality (SQ) by intimacy with their partner that day and attachment orientation. Better SE was predicted by greater intimacy with the partner during that day, which was the case for older patients and greater attachment avoidance (Bs<.002, ps<.013). Overall, attachment avoidance was associated with poorer SQ (B=-1.524, p<.036). However, better SQ was predicted by greater intimacy with the partner during that day, which was the case for greater attachment avoidance (B=.425, p<.010), although not so for greater attachment anxiety (B=-.288, p<.044). Attachment security was not associated with any sleep outcome. Findings provide preliminary evidence that highlight the significance of intimacy and adult attachment orientation in sleep for cancer patients. Results suggest that sleep interventions be tailored to improve intimacy while considering individual differences in relational characteristics. Findings warrant further investigation of interpersonal factors and possible underlying biopsychosocial mechanisms that contribute to sleep disturbance for this vulnerable population. R01NR016838
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".