Bidirectional associations between sleep (quality and duration) and psychosocial functioning across the university years.
Bibliographic record
Abstract
Despite extensive research on sleep and psychosocial functioning, an important gap within the literature is the lack of inquiry into the direction of effects between these 2 constructs. The purpose of the present 3-year longitudinal study was to examine bidirectional associations between sleep (quality and duration) and 3 indices of psychosocial functioning (intrapersonal adjustment, friendship quality, and academic achievement). We also assessed the role of gender as a possible moderator of the patterns of results. Participants were 942 (71.5% female) emerging adults enrolled at a mid-sized university in southern Ontario, Canada, who ranged in age from 17 to 25 years (M = 19.01 years, SD = 0.90) at the first assessment. Students completed surveys in the winter term for 3 consecutive years, beginning in their first year of university. Survey measures included demographics, sleep quality and duration, intrapersonal adjustment (depressive symptoms, stress, and self-esteem), friendship quality, and academic achievement. Results of path analyses indicated a significant bidirectional association between sleep quality and intrapersonal adjustment. We also found evidence for unidirectional associations, such that better friendship quality and higher academic achievement predicted better sleep quality over time. Overall, psychosocial functioning was more strongly associated with sleep quality relative to sleep duration. Our findings highlight the importance of a longitudinal and holistic approach in understanding the link between sleep and psychosocial functioning among emerging adults at university.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".