0483 Healthy Sleep Durations Appear to Vary Across Cultures
Bibliographic record
Abstract
Abstract Introduction Sleep duration is a reliable predictor of health outcomes. However, average sleep duration varies significantly across countries, with Japan and other East Asian countries reporting the shortest average sleep durations, and some Western European countries the longest. These disparities exceed 90 minutes, raising the question of whether countries with shorter sleep durations may be suffering from worse health. These striking differences highlight the need for cross-cultural research to better understand the relationships between culture, sleep duration, and health. Methods We conducted a pre-registered cross-national survey of approximately 5000 participants across 20 countries regarding sleep duration and current health using Qualtrics sampling panels. We used multilevel modeling to explore the relationships between self-reported sleep duration and health both within and between countries. Results France had the longest average sleep duration at 7 hours 52 minutes, whereas Japan had the shortest average sleep duration at 6 hours and 18 minutes for a range of 94 minutes. Within countries, participants with longer sleep duration had better health on a health composite variable that included mental health, subjective health, and chronic conditions (b = 0.09, 95%CI = [0.07-0.10], p = < 0.001). In contrast, national sleep duration did not predict health (b = 0.09, 95%CI = [-0.10, 0.27], p = 0.349). ANOVA revealed a significant difference between sleep durations that are associated with optimal scores on the health composite variable F(19, 4913) = 44.97, p <.001, partial η2 =.15, 90%CI [.13,.16]. Participants who slept closer to their cultural ideal sleep duration had higher health composite scores (b = -0.06, 95%CI = [-0.08, -0.10], p = < 0.001). Conclusion The optimal amount of sleep, as it relates to health, appears to vary across countries suggesting that sleep needs are flexible within limits and shaped by cultural norms. Support (if any) Social Science and Humanities Research Council Canada
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.000 | 0.002 |
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".