Sleepmore in Seattle: Later school start times are associated with more sleep and better performance in high school students
Dunster GP, de la Iglesia L, Ben-Hamo M, Nave C, Fleischer JG, Panda S, de la Iglesia HO · 2018
grade Cnatural-experimentdeveloper-involvedreplicatednumbers spot-checked
Sample
94 sophomores measured in 2016 (pre) and 84 in 2017 (post), two Seattle public high schools; 81 and 76 respectively for non-school-day data. Watches were assigned to a subset of each class section "due to resource constraints", stratified to represent gender and underrepresented minorities.
Population
US 10th-grade students at Roosevelt HS (31% economically disadvantaged, 7% ethnic minority) and Franklin HS (88% economically disadvantaged, 68% ethnic minority), Seattle
Design
Pre/post around the Seattle School District's district-wide shift of secondary start times from 07:50 to 08:45 for 2016-17 (a 55-min delay). Wrist actigraphy (Actiwatch Spectrum Plus), >=5 school nights and >=3 non-school nights per student. Important design limits the abstract does not surface: the two waves are *different cohorts* of sophomores in the same 10th-grade biology sections, not the same students followed ("an independent sample of students taking the same science class was studied in each school"); and there is no untreated control school — the authors state plainly that "the nature of our pre-/post-study prevents us from having a control group". The internal control is the null result on non-school days measured in the same weeks, which is genuinely informative and is why this is graded above a bare pre/post. The academic outcome is second-semester grades in that same biology class, and the paper flags that these "represent absolute (not normalized) grades and could carry an implicit bias from teachers who could have been for or against the school time change" — the grade result therefore has neither a control group nor a blinded outcome measure. Grade lowered from B to C on this reading: METHODOLOGY grades "pre-post without control group" at D, and none of the grade-B designs (well-powered RCT, regression discontinuity, difference-in-differences with a clean shock, within-family) apply here.
Key findings
Median daily sleep duration rose 34 min on school days (P = 0.0007, effect size 0.353) — from 6 h 50 min to 7 h 24 min — driven by a 44-min later median sleep offset (median wake 06:24 -> 07:08, P < 0.0001, effect size 0.194). Sleep onset showed "a trend toward a later sleep onset that was not statistically significant" (P = 0.0459 against a Bonferroni-corrected threshold of P < 0.017), so bedtime moved little but the delay was not fully absorbed; the authors note that a 55-min bell delay yielding only 34 min of sleep "suggests that after a year ... students may delay their bedtimes". Sleep parameters on non-school days did not differ between years, which is the internal falsification test. Social jet lag fell from a median of 1.60 to 1.25 h (P = 0.0118). Self-reported daytime sleepiness fell (median 7.0 -> 6.0, P = 0.0370). Median second-semester course grades rose from 77.5% to 82% (a 4.5% increase, P = 0.0261). Attendance and tardiness improved only at Franklin, the high-poverty school; Roosevelt showed no difference. Mood (BDI-II), chronotype, sex and school did NOT differ between years in any model. The authors themselves state it is "much harder to attribute causality for 4.5% higher grades on increased sleep".
Genetic confound
Low for sleep duration: a district-wide bell-time change is assigned to every student regardless of chronotype or family, and the same-season non-school-day null rules out a generic measurement or cohort artefact. Higher for the grade result: the two cohorts are different students, and with no comparison school any district-level co-intervention, grading drift, or cohort composition change is fully confounded with the treatment.
Replication notes
Split the source in half. The SLEEP result is independently replicated: Widome 2020 (START, difference-in-differences with comparison schools, +41/+43 min), Roig 2026 (lottery-assigned shifts), Lo 2018 (Singapore, 45-min delay, ~10 min gain — same sign, one third the magnitude), and the Marx 2017 Cochrane/Campbell review (sleep positive in 6 of 6 studies). Magnitudes vary about threefold across settings, so the direction replicates and the effect size does not. The ACADEMIC result (4.5% higher median course grades) is NOT replicated: Hinrichs 2011 finds a flat null on ACT and on statewide tests in two further states, and Biller 2022 screened 21 studies for risk of bias and found no generalisable achievement effect. Do not let the replicated half vouch for the unreplicated half.
Effects
| Outcome | Metric | Value | Measure | Timing | Vs | Horizon | Class |
|---|---|---|---|---|---|---|---|
| School-day sleep duration (health/behavioural, proximal) | median difference, actigraphy | +34 min, 6 h 50 min -> 7 h 24 min (P = 0.0007, effect size 0.353) | standardized | 1 year after start-time delay | none | end-of-treatment | health |
| School-day sleep offset (wake time) | median difference, actigraphy | +44 min later, 06:24 -> 07:08 (P < 0.0001, effect size 0.194) | standardized | 1 year after start-time delay | none | end-of-treatment | health |
| School-day sleep onset (bedtime) — the "is it a net gain?" test | median difference, actigraphy | trend later, NOT significant (P = 0.0459 vs corrected threshold P < 0.017); a 55-min bell delay bought only 34 min of sleep, so some of the delay was absorbed by later bedtimes | standardized | 1 year after start-time delay | none | end-of-treatment | health |
| Non-school-day sleep duration (internal control) | median difference, actigraphy | no significant difference between years in any sleep parameter | standardized | same window | none | end-of-treatment | health |
| Social jet lag | median hours | 1.60 -> 1.25 h (P = 0.0118, effect size 0.616) | standardized | 1 year post | none | end-of-treatment | health |
| Daytime sleepiness (Epworth Sleepiness Scale) | median score | 7.0 -> 6.0 (P = 0.0370) | standardized | 1 year post | none | end-of-treatment | health |
| Napping (compensatory sleep check) | total naps and naps per student | essentially unchanged — 152 naps / 0.60 per student in 2016 vs 150 naps / 0.56 in 2017 | standardized | 1 year post | none | end-of-treatment | health |
| Mood (Beck Depression Inventory-II) — NULL | generalized linear model, year as dependent variable | no significant difference between years; nor did chronotype, sex or school. Cuts against the claim that later starts improve adolescent mood (contrast sleep-sadikova-2024, which does find it) | standardized | 1 year post | none | end-of-treatment | health |
| Evening light exposure (the "screens will eat the gain" check) | time of first and last daily exposure to 50 lux | first exposure significantly later on school days in 2017 (year effect F(1,331) = 18.2, P < 0.0001); LAST daily exposure showed no between-year difference — the delay bought later mornings without later evening light | standardized | 1 year post | none | end-of-treatment | health |
| Course grades (achievement, teacher-assigned, unblinded) | median second-semester grade in the same 10th-grade biology class | 77.5% -> 82% (+4.5%, P = 0.0261); no control school, different cohorts, absolute (non-normalized) grades from teachers who may have held a view on the bell-time change | mixed | second semester of the post year | none | end-of-treatment | domain-skill |
| First-period absences and tardies (attendance) | chi-square vs enrolment-adjusted predicted 2017 rates, school-level | significant reduction at Franklin HS (88% disadvantaged) only, P < 0.0001; null at Roosevelt HS (31% disadvantaged) | standardized | 1 year post | none | end-of-treatment | behaviour |
Cited by
- Do later school start times increase adolescent sleep, and does that raise achievement?strong supportconf: mediumgc: low