Sleep hygiene behavior among Balinese adolescent
Bibliographic record
Abstract
Introduction: Sleep hygiene is very important for predicting the quality and quantity of sleep in adolescent students. Studies in recent years showed the number of adolescents who get sleep disturbances due to poor sleep behavior increase d by 72.9%, however, only a few studies explored the sleep hygiene behav iour particularly from developing country setting . The purpose of this study was to know sleep hygiene in adolescent students particularly in Bali island . Method: Design used in this study was descriptive analytic with cross-sectional approach. The population was all students of class X and XI in PGRI Negara High School. Total sample was 46 respondents. Data were collected by using modified Adolescent Sleep Hygiene Scale (ASHS) questionnaire and analyzed by using multiple linear regression test with a level of significance p < .05. Result: The result showed that sleep hygiene for Balinese adolescents in terms of physiological aspect to have enough category ( 50%) and the cognitive aspect showed less category ( 71.74%). M ost students have sleep hygiene behavior with good category ( 41.32%) on the emotional aspect and t he sleep environment aspect on less category ( 45.65%). The sleep hygiene behavior of daytime sleep aspect having enough category ( 50%) and the sleep stability aspect on less category ( 43.48%). Discussion and conclusion: It can be concluded that most of Balinese adolescents has sleep hygiene with less to moderate category . Further studies should be done to improve sleep quality through nursing intervention .
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".