Examining family and neighborhood level predictors of sleep duration in urban youth.
Bibliographic record
Abstract
INTRODUCTION: Shortened sleep duration in adolescence has been found to be associated with adverse health outcomes. While several studies have explored individual predictors, few have examined the role of neighborhood-level factors, family, and peer contexts as predictors of sleep among adolescents. METHOD: We examined contextual factors of sleep duration in a sample of 1,614 urban, public high school students from the 2008 Boston Youth Survey. Neighborhood data came from the 2008 Boston Neighborhood Survey of 1,710 adult Boston residents, the 2009 American Community Survey Census (ACS), and Boston Police. RESULTS: Using multilevel linear regression, adjusting for neighborhood and school clustering, age, race, and sex, we found concentrated neighborhood poverty to be positively associated with sleep duration (β = 0.09, p = .03). Family context was significantly associated with longer sleep duration: >1-3 hr of homework per night reported longer sleep compared with students reporting ≤1 hr per night (β = 0.20, p = .005). Students reporting lower levels of positive parenting influence had shorter sleep duration (0-25th percentile: β = -0.25, p = .01; 26th-50th β = -0.24, p = .03), compared with students in the highest percentile. Students who never ate dinner with family had shorter sleep duration as compared with those having dinner with family 5 or more times per week (β = -0.22, p = .05). DISCUSSION: Our findings focusing on neighborhood and family context represent potentially modifiable practices. These finding are important for public health advocates and health care providers as they seek to curb the epidemic of sleep deprivation in youth. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".