1072 SLEEP TRAJECTORIES FROM ADOLESCENCE TO ADULTHOOD AND THEIR RELATIONSHIP WITH HEALTH OUTCOMES
Bibliographic record
Abstract
Sleep is linked to physiological and mental health outcomes. However, little is known about sleep trajectories from adolescence to adulthood and their relationship with health outcomes. We examined sleep trajectories and their relationship with cardiometabolic and mental health in a representative sample over 16 years. We tracked participants between 1997 and 2013 from the Panel Study of Income Dynamics study and the Child Development and Transition into Adulthood Supplements (n=3,118; age 10-17y at baseline) who reported their sleep duration up to six times during the study. We used latent class growth modelling to identify distinct sleep trajectories (long sleep (8.7% of the sample), average sleep (72.5%), and short sleep (18.8%)) and assessed their relationship with self-rated health, high blood pressure, obesity, and mental health using logistic and linear regressions controlling for the year of birth. Compared to the average sleep trajectory, both short and long sleep trajectories were associated with higher odds of poor or fair self-rated health (OR (95% CI), p-value): 1.82 (1.16, 2.84), p=0.01 and 1.89 (0.98, 3.63), p=0.06, respectively). Both short and long sleep trajectories also had greater mental health problems in adulthood (OR 1.66 (1.11, 2.49), p=0.01) and 1.99 (1.07, 3.69), p=0.03), respectively). Only the trajectory of short sleep was associated with higher odds of having high blood pressure (OR 1.81 (1.06, 3.12), p=0.03), greater distress (β (95% CI), p-value: 1.51 (0.73, 2.28), p<0.01) and lower mental well-being (β -0.63 (-1.15, -0.10, p=0.02)) compared to average sleep trajectory. We found no significant association between sleep trajectories and obesity. We found evidence that short and long sleep trajectories from adolescence to adulthood are linked to poor physiological and mental health outcomes in adulthood. Individuals that follow a trajectory of short sleep seemed particularly vulnerable to poor mental well-being as young adults. Additional research is needed to extend our understanding of the relationship between sleep trajectories over the lifespan and their effect health outcomes. GG is supported by a postdoctoral fellowship from the Canadian Institutes for Health Research. FJE is supported by a Canada Research Chairs program.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".