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Sleep Health 3 (2017) 451–457
Contents lists available at ScienceDirect
Sleep Health
Journal of the National Sleep Foundation
journal homepage: sleephealthjournal.org
The economic implications of later school start times in the
United States
Marco Hafner, MPhil, MSc a, Martin Stepanek, MSc a,b, Wendy
M. Troxel, PhD c,⁎
a RAND Europe, Westbrook Centre/Milton Rd, Cambridge CB4
1YG, United Kingdom
b Institute of Economic Studies, Faculty of Social Sciences,
Charles University, Prague, Czech Republic
c RAND Corporation, Health Division, Pittsburgh, PA 15213,
United States
a b s t r a c ta r t i c l e i n f o
⁎ Corresponding author.
E-mail address: [email protected] (W.M. Troxel).
https://doi.org/10.1016/j.sleh.2017.08.007
2352-7218/© 2017 National Sleep Foundation. Published b
Article history:
Received 15 June 2017
Received in revised form 15 August 2017
Accepted 18 August 2017
Keywords:
School start times
Adolescent sleep
Cost–benefit analysis
Economics
Economic modeling
Numerous studies have shown that later school start times (SST)
are associated with positive student
outcomes, including improvements in academic performance,
mental and physical health, and public
safety. While the benefits of later SST are very well
documented in the literature, in practice there is
opposition against delaying SST. A major argument against
later SST is the claim that delaying SST will
result in significant additional costs for schools due to changes
in bussing strategies. However, to date,
there has only been one published study that has quantified the
potential economic benefits of later SST
in relation to potential costs. The current study investigates the
economic implications of later school
start times by examining a policy experiment and its subsequent
state-wide economic effects of a state-
wide universal shift in school start times to 8.30 AM. Using a
novel macroeconomic modeling approach,
the study estimates changes in the economic performance of 47
US states following a delayed school
start time, which includes the benefits of higher academic
performance of students and reduced car
crash rates. The benefit–cost projections of this study suggest
that delaying school start times is a cost-
effective, population-level strategy, which could have a
significant impact on public health and the US
economy. From a policy perspective, these findings are crucial
as they demonstrate that significant
economic gains resulting from the delay in SST accrue over a
relatively short period of time following the
adoption of the policy shift.
© 2017 National Sleep Foundation. Published by Elsevier Inc.
All rights reserved.
Introduction
Inadequate sleep among adolescents has emerged as a public
health epidemic.1 Even though teens need an average of 8 to 10
hours of sleep each night, about 60 percent of middle school
students
report weeknight sleep duration of less than nine hours and only
about 7 per cent of high school students report 9 hours or more
of
sleep per night.1 The existing literature has shown that a lack of
sleep among adolescents is associated with numerous adverse
out-
comes, including poor physical and mental health, behavioral
prob-
lems, suicidal ideation and attempts, attention and concentration
problems, and suboptimal academic performance.2–9 In
addition, in-
sufficient sleep is associated with motor vehicle crashes, the
leading
cause of death of teenagers.10
Many factors have been found to be associated with adolescent
sleep loss, including busy social lives, school work,
participation in
afterschool activities, and use of technology in the bedroom.11
y Elsevier Inc. All rights reserved
Furthermore, known biological changes in adolescent sleep–
wake
cycles contribute to delayed sleep–wake cycle.12 Rise times are
pri-
marily determined by a factor of public policy, and that factor is
school start times (SST).13 In order to accommodate the known
bio-
logical shift in adolescent sleep–wake cycles leading to later
bedtimes
and later wake-times, major medical organizations recommend
that
middle and high schools start no earlier than 8:30 AM.14,15
Despite
these recommendations, a Centers for Disease Control and
Preven-
tion (CDC) study estimated that 82% of middle and high schools
start before 8:30 AM, with an average start time at 8:03 AM,
showing
significant variance of SST across different states.16 While the
benefits
of later SST are well-documented in the literature, in practice
there is
often opposition against delaying SST. A major argument
against later
SST is the claim that delaying SST will result in significant
additional
costs for schools due to changes in bussing strategies.
To our knowledge, however, there has only one been one pub-
lished study to date that has aimed to quantify the potential
benefits
of later SST in relation to potential costs. Specifically, the
analysis by
the Brookings Institution17 examined the cost-benefits of
delaying
school start times and found a benefit–cost ratio of 9:1 for a
1hour
.
http://crossmark.crossref.org/dialog/?doi=10.1016/j.sleh.2017.0
8.007&domain=pdf
https://doi.org/10.1016/j.sleh.2017.08.007
mailto:[email protected]
https://doi.org/10.1016/j.sleh.2017.08.007
http://www.sciencedirect.com/science/journal/23527218
http://www.sleephealthjournal.org23527218
1 In economics this is referred to as a ‘multiplier effect’, which
is when extra income
leads to more spending in the economy which subsequently can
create more income.
452 M. Hafner et al. / Sleep Health 3 (2017) 451–457
later start time among middle and upper grades. In other words,
for
every $1 spent, the return is $9. Costs were estimated to be
$150
per year per student, based on data from a single district in
North
Carolina18 and were determined by a change in the school bus
system,
from a three-tiered bus system to a single-tier system.
Cumulatively,
the study estimated an average $17,500 gain per student in
terms of
lifetime earnings compared to $1950 in costs per student over
his/her
school career. While the Brookings Institution analysis shows a
high
benefit to cost-ratio, it is important to highlight that the time
horizon
for the potential benefits is protracted over the average working
life
of an individual (e.g., about 45 years). However, from a
policymaker's
perspective, it is important to have a more granular
understanding of
the timeframe for when these benefits are likely to accrue.
Against this background, the current study examines the po-
tential economic impact from delaying SST for middle and high
schools to 8:30 AM. That is, the main research question this
study aims to answer is: what are the economic implications of
a
state-wide universal shift in start times to at least 8:30 AM and
how do they vary regionally by state and what is the expected
time horizon for the benefits to occur?
Specifically, this study runs a hypothetical policy experiment in
order to estimate the potential year-by-year state-wide economic
changes for several US states which may occur from a state-
wide uni-
versal shift to 8.30 AM SST compared to the current start times
in
each of the states [cross-state average of 8:03 AM, as reported
by
the CDC16]. The analysis departs from the approach taken in
the
Brookings Institution study in several ways. First, instead of
assuming
a one hour later school start time, the current distribution of
school
start times across different states is taken into account and the
impact
of an 8:30 AM SST is modeled. Second, when calculating the
benefits
of SST, this study takes into account the effects on student
lifetime
earnings as well as the potential impact of reduced car crashes
among adolescents, which can have a negative impact on future
labor
supply of an economy if young adults die prematurely. Third,
the
Brookings analysis focused only on a general potential gain per
student,
whereas this study looks at potential economic effects for
different re-
gions, taking into account the variation of school start times and
eco-
nomic factors across different US States. Finally, this study also
takes
into account potential multiplier effects of increased lifetime
earnings
of individuals. For instance, at any given point in time the
additional
money these individuals save or consume will create further
opportu-
nities through further income for other agents in the economy.
Methods
General modeling approach
The analysis is based on a theoretical dynamic general
equilibrium
model related to a system of mathematical equations to
characterize
the economic interaction of different agents in an economy such
as
households, firms, or the government. The economic model
builds
on the long tradition of computable general equilibrium (CGE)
models, which have been extensively applied for economic
policy
analysis.19–21 CGE models are based on a detailed theoretical
frame-
work simulating the behavior of various agents and depicting
rela-
tionships between subjects in an economy described by a set of
parameters, equations and conditions that are to be satisfied
simulta-
neously. The equations are then evaluated using mathematical
software,22 giving a set of numerical results representing, for
exam-
ple, the levels of labor or capital in a simulated economy. CGE
models
explicitly allow for the analysis of multiple comparable
scenarios
which differ only in the selected set of parameters, for example
by
creating both a baseline (or status quo) and a ‘what if’ situation
show-
ing how the economy would evolve under different policy
scenarios.
The specific model applied in this study is a so-called
‘Overlapping
Generations (OLG) model, which simulates the behavior of
different
cohorts of individuals over their lifecycle (see a more detailed
de-
scription of the model in Appendix A).
Estimates of potential benefits and costs associated with a state-
wide
shift in SST
As a first step, the model simulates the economic forecast of
each
of the states under consideration in the baseline scenario, using
the
current distribution of SST across middle and high schools in 47
US
states which is provided by the CDC.16 In a second step, under
a dif-
ferent ‘what if’ scenario (compared to current start times), the
model predicts how the economic output (e.g. measured as gross
do-
mestic product) of each state would change if the state
implemented
a universal shift to 8:30 AM SST. The population affected by
the policy
change are students from grade 6 to grade 12. In the applied
economic
model, it is assumed that delaying SST leads to extended sleep
duration
for adolescents,14 which subsequently could impact the
economy in a
given state through different “channels”. Specifically, we only
included
effects for which there were sufficient and robust parameters
from the
existing literature. In particular, this study focuses on two
specific ben-
eficial channels that could be derived from later SST:
The first channel is mortality from motor vehicle crashes. The
data
for car crash mortality includes the underlying cause of death
data
provided by the CDC23 on weekday motor vehicle fatalities
among
teenagers age 16 to 18, combined with parameters from a study
by
the AAA Foundation for Traffic Safety, which revealed that
about one
fifth of fatal motor vehicle crashes involved a driver impaired
by sleep-
iness, drowsiness or fatigue.24 Together with the estimate by
Danner &
Phillips,25 which suggests that the car crash rate decreases by
16.5 per-
cent due to an hour delay in SST, the potential reduction of car
crash
mortality rates for each state is calculated. Note that in the
model, re-
duced mortality levels among adolescents increase the potential
future
labor population and therefore has a positive effect on the
economy.
Thus, the labor supply effect derived from motor vehicle
mortality
data consists of two factors: (1) the direct impact of the
individual
being alive and productive; and (2) the impact on the
individual's po-
tential future offspring, which will subsequently be missing and
hence
will not contribute to the economy in the future.26
The second channel potentially contributing to the benefits of
later SST is the impact on academic performance. Using data on
the
effect of adolescent sleep on academic performance and
graduation
rates from Wang et al.,9 the model predicts that longer sleep
will
lead to increased high-school and college graduation rates.9
Specifi-
cally, Wang et al.9 estimate that one additional hour of sleep is
esti-
mated to increase the probability of high school graduation on
an
average by about 8.6% and the college attendance rate by
13.4%,
both with decreasing marginal returns for each hour of
additional
sleep. Due to the non-linear effect of sleep duration, Wang et
al.’s
findings suggest that later school start times may create longer-
run
human capital benefits especially for those adolescents that
sleep
on average below seven hours a night, which has been estimated
to
affect more than 40 per cent of the adolescent population.1 The
pos-
itive effect on adolescents' academic performance and
likelihood of
high school graduation, in turn, impacts the jobs they are able
to ob-
tain in the future. This in turn, has a direct effect on how much
a par-
ticular person contributes towards the economy in future
financial
earnings. Due to the dynamic nature of the model, at any given
point in time, the increased income these individuals save or
con-
sume will create further opportunities through additional
income
for other agents in the economy and hence increase overall
economic
output of each of the states.127 In essence, the effects of
changes in
2 Both benefits and costs per student are discounted and
presented in present-day
values. The future benefits and costs have been discounted by a
rate of 4% which is
common among the macroeconomic literature.
453M. Hafner et al. / Sleep Health 3 (2017) 451–457
lower car crash rates and higher educational attainment are
translat-
ed into economic benefits the moment an individual enters the
labor
market and continues to progress throughout his/her career until
retirement.
Note that a shift to 8:30 AM SST is likely to come with some
costs,
and hence it is relevant to compare the economic benefits of the
delayed SST to its potential costs. As mentioned, one of the
most
important factors driving costs is a change in the bus system
from a
three-tier to a one- or two-tier system, which would incur
additional
costs. The Brookings Institution analysis uses a cost estimate of
$150
per student per year for the cost–benefit analysis, based on
estimates
from a school district in Wake County, North Carolina.18
Obviously,
the cost will depend on the local circumstances of each state,
and
even at the more granular school district level it is impossible
to rep-
resentatively estimate them across the USA. Hence, for the
purpose of
illustration of the potential benefit–cost ratios four different
cost esti-
mates are used in the present analyses to provide a more
comprehen-
sive range of potential costs: $150, $350, $500 and $700. We
assume
that the cost per student will occur in perpetuity after the policy
shift
to 8:30 AM SST. This is likely overestimating the actual costs
as the
majority of the costs would probably accrue at the beginning of
the
policy shift in the form of upfront investments for new bus
routes.
Calibrating the economic model with data from different
sources
In the simulated model, the economic output of each state is
pro-
duced using different production factors including capital and
so
called ‘effective labor’, which combines physical labor units
(e.g.
number of workers) with labor efficiency units (e.g.
productivity of
each unit of labor), where the latter includes units of human
capital
(e.g. level of education). To address the first component,
physical
labor, a cohort-component model is applied to predict the size
of
the future populations in each state using current base
population es-
timates from the Census Bureau,28–31 as well as mortality and
fertility
rates data provided by the CDC.23,32 In essence, the base
population
evolves over time by applying assumptions on mortality and
fertility
so that the state population changes according to a ‘natural’
increase
(births minus deaths), providing a projection of a state's
population
by one-year cohort groups into the future. In order to address
the sec-
ond component, labor efficiency, several sources of data from
the US
Census Bureau are utilized. First, in order to inform what share
of the
total population belongs to each one-year cohort group, we
deter-
mine, the proportions of individuals in each state according to
their
age, gender and ethnicity33 and complement this data with
detailed
information on school and college attainment. Second, in order
to
translate the changes in SST into potential personal financial
gains
of potentially higher academic performance data on the average
earnings by the highest educational attainment level is used,
which
is collected by United States Census Bureau.34 In addition, a
variety
of parameters were used to calibrate the model, including,
among
others, the hours of work, capital-labor ratios, capital stock
deprecia-
tion rates and the growth rate of technological change. A full
model
specification and a complete description of model parameters is
re-
ported in Hafner et al. (2017).34
Results
This study illuminates the link between a state-wide universal
delay in SST to 8:30 AM and economic gains to different US
states.
In what follows, the predicted cumulative gains in present-day
values
(2016 $ figures) aggregated across all 47 states are presented,
follow-
ed by a breakdown of the benefits by student and the
comparison
against the potential costs per student. Finally, the overall
benefit–
cost ratios by state are presented.
Predicted cumulative gains and benefit–cost ratios across the
USA
Fig. 1 depicts the cumulative economic gains from delayed SST
in
present-day value across the 47 US states included in the
analysis.
The economic gains are displayed as higher levels of economic
output
that would occur if SST would be delayed compared to the
status quo.
Economic output is measured as gross state product (GSP),
which is
the equivalent of gross domestic product (GDP) at country
level.
In the first year of the shift to 8:30 AM SST, the model projects
no
immediate economic gain, given that the first cohort of students
graduating from high school is only experiencing one-year of
change
in the SST policy before graduation. However, as more students
will
benefit over time from the delayed SST as they enter the labor
mar-
ket, the gains are increasing over time. For instance, after year
two
of the policy shift, the model projects an economic gain of
about
$8.6 billion which represents about 0.04% of total US Gross
Domestic
Product (GDP). After five years, the economic gain increases to
about
$37 billion, and to $83 billion and about $140 billion after 10
and 15
years, respectively. On average, this corresponds to an annual
gain
of about $9.3 billion, which is roughly the annual revenue of
Major
League Baseball.35
Furthermore, Fig. 2 reports the average benefit–cost ratio per
stu-
dent across the 47 US states using four different estimates for
costs in
order to capture a range of relevant scenarios for different
school dis-
tricts: $150, $350, $500, and $700.2 Under the assumption that
the
costs per student are $150, as in the Brookings Institution
analysis,
the benefits are predicted to outweigh the costs per student (e.g.
benefit–cost ratio is larger than 1) after about 2 years of
delaying
SST to 8:30 AM. After 13 years, the benefit–cost ratio would
reach
3:1, meaning that every $1 invested would yield a return of $3.
The
ratio increases annually, reaching 4:1 after 20 years. Assuming
a
higher cost of $350 per student per year, a universal state-wide
delay in SST to 8:30 AM on average is predicted to outweigh
the
cost after 7 years. Remarkably, assuming a high cost of $500,
the
“break-even” point would be 16 years. Even when assuming an
ex-
tremely high cost of $700 per student per year, which is more
than
four times larger than the suggested cost per student used in the
Brookings study, the economic benefits of delaying SST would
out-
weigh the cost per student after 25 years.
Variation across states: Gains per student and benefit–cost
ratios
The findings presented thus far represent average figures across
the 47 US states, but a state-by-state analysis reveals significant
re-
gional variation in the effects. For instance, Table 1 reports the
gains
per student across 47 states after the policy change to delay SST
to
8:30 AM.
For instance, in Alabama, the economic gain per student after 2
years is estimated to be about $31 per student. This is
significantly
lower than the average of $346 per student across the 47 states.
Other states with relatively low gains per student are Arkansas,
Idaho and Mississippi (between $177 and $190). On the other
hand,
states such as Delaware and Massachusetts would proportionally
gain more than $700 per student after 2 years. Other states with
rel-
atively large gains per student are Connecticut, New Jersey,
Ohio,
Rode Island and Virginia. Note that the difference is mainly
driven
by variation in the state-wide initial average SST and
underlying eco-
nomic factors which also vary significantly by state (e.g. the
industrial
composition or average productivity levels).
Table 2 reports the benefit–cost ratios by state assuming the
cost
per student to implement the delayed SST to 8:30 AM would be
$150
Fig. 1. Predicted cumulative economic gains from delayed SST
to 8:30 AM across 47 US States. Note: The figure plots the
predicted discounted cumulative gains of delayed SST to 8:30
AM
aggregated across 47 US states since the change of policy (from
one to fifteen years).
454 M. Hafner et al. / Sleep Health 3 (2017) 451–457
per student per year. The findings suggest that with the
exception of
Alabama, in every other state, the economic benefits for
delaying SST
would outweigh the costs within 5 years after the change. The
pre-
dicted benefit–cost ratio after five years varies from 0.4
(Alabama)
to 4.4 (Delaware). Even after two years, a majority of states are
pre-
dicted to reach a benefit–cost ratio of at least 1:1, meaning that
for
every $1 spent, there is a $1 return on investment.
Discussion
The current study is the first to measure the economic gains
asso-
ciated with delaying school start times in states across the US.
Using a
novel macroeconomic modeling approach, the findings suggest
that
delaying SST to 8:30 AM could lead to significant economic
gains
over a relatively short period of time in the form of increased
overall
Fig. 2. Predicted average Benefit–Cost Ratios of Delayed SST
to 8.30 AM across 47 US States. N
47 U.S states after the change of policy).
economic performance. Departing from the previous cost–
benefit
analysis provided by the Brookings Institution, this study
reports
the estimated year-by-year and state-by-state changes in
benefits
from delaying SST which average across the states from 1.2
(after 2
years) to 3.2 (after 15 years). From a policy perspective, these
find-
ings are crucial as they demonstrate that significant economic
gains
resulting from the delay in SST accrue over a relatively short
period
of time following the adoption of the policy shift. In
comparison,
the Brookings Institution estimated a benefit–cost ratio of 9:1
per
student, but calculated the benefits and costs over the working
life
of an individual, which is about 45 years on average, and hence
the
benefit–cost ratio cannot directly be compared to the ratios
predicted
in this study, which are year-on-year. However, if we apply the
annu-
al cost in perpetuity assumption of $150 per student per year to
the
Brookings Institution analysis, which found that the overall
lifetime
ote: The figure plots the predicted benefit–cost (B-C) ratios of
delayed SST to 8:30 AM across
Table 1
Predicted cumulative economic gain
Years after policy change (gain $ per student)
State 2 5 10 15 20
Alabama 31 246 953 2220 3712
Arizona 374 1498 3325 5440 7619
Arkansas 190 904 1908 3349 4867
California 335 1357 3097 5216 7523
Colorado 294 1199 2876 5158 7515
Connecticut 517 2209 5193 8863 12,639
Delaware 733 3061 7242 12,278 17,275
Florida 456 1783 3943 6525 9145
Georgia 269 1098 2485 4109 5835
Hawaii 476 2295 4688 7553 10,653
Idaho 180 735 1676 2802 4044
Illinois 259 1082 2539 4499 6700
Indiana 273 1273 2824 5097 7459
Iowa 395 1625 3681 5756 7983
Kansas 289 1478 3117 5215 7500
Kentucky 263 1442 3043 4916 6850
Louisiana 381 1587 3723 6422 9232
Maine 275 1148 2748 4702 6740
Massachusetts 704 2693 5673 9050 12,535
Michigan 331 1367 3248 5381 7551
Minnesota 360 1443 3395 5671 8046
Mississippi 177 856 1844 3112 4452
Missouri 341 1396 3302 5877 8468
Montana 338 1366 2942 4656 6473
Nebraska 258 1096 2527 4358 6433
Nevada 191 795 1897 3330 4896
New Hampshire 286 1343 3117 5416 7801
New Jersey 551 2207 5112 8482 11,886
New Mexico 373 1469 3268 5204 7226
New York 295 1244 2970 5298 7862
North Carolina 342 1411 3215 5413 7717
Ohio 410 1646 3510 5665 7879
Oklahoma 291 1153 2568 4226 5989
Oregon 294 1198 2758 4810 7088
Pennsylvania 276 1212 2987 5381 7900
Rhode Island 537 2406 5358 8703 12,081
South Carolina 317 1380 3050 4747 6513
South Dakota 296 1300 2744 4438 6287
Tennessee 225 967 2286 3998 5858
Texas 333 1335 3007 5022 7162
Utah 228 931 2327 3956 5654
Vermont 365 1523 3464 5876 8365
Virginia 595 2129 4774 7706 10,765
Washington 503 2308 4786 7664 10,662
West Virginia 235 972 2263 3813 5443
Wisconsin 360 1498 3572 6034 8610
Wyoming 461 1982 4497 7553 10,702
Average 346 1461 3309 5552 7906
Notes: The table reports the predicted discounted cumulative
economic gains per
student of delayed SST to 8:30 AM across all 47 US states,
compared to the status
quo with current distribution of SST.
455M. Hafner et al. / Sleep Health 3 (2017) 451–457
gain of a student is $17,500 for a one-hour shift in SST, and
further as-
sume a 45 year time horizon, then the predicted adjusted
benefit–
cost ratio of the Brookings Institution analysis is approximately
6:1,
instead of 9:1. By taking a more comprehensive and more
detailed
national approach, the figures presented in Table 2 suggest that
after only 15 years (about a third of the working life of an
individual),
the benefit–cost ratio across the 47 states is about half of the
benefit–
cost ratio of the Brookings analysis. If the estimates reported in
Table 2 would be extended to 45 years, the ratio is predicted to
in-
crease to about 7.5:1, which is about 1.2 times larger than the
esti-
mated adjusted benefit–cost ratio by Brookings Institution (of
6:1),
even though the current analysis implies generally a net
increase in
SST of less than an hour (approximately 30 minutes).
Overall, this study only applies parameters in the calibration
pro-
cess of the model for which robust empirical evidence is
available
concerning the impact of sleep loss on affects adolescents'
health
and academic performance. Specifically, we utilized available
data
on car crash mortality and impaired academic performance.
There-
fore, our models are conservative in nature, as we did not take
into
account other potential impacts of insufficient sleep, such as the
ef-
fects on mental health, including depression and suicide, or
other po-
tential negative effects related to obesity or other morbidities
that are
also associated with insufficient sleep. Hence, the reported
benefits in
this study are likely an underestimation of the full benefits
related to
delaying SST.
On the cost side, this study uses a previous estimate of $150 per
student per year but also uses higher cost estimates to assess the
ef-
fectiveness of the policy change at a broader range of costs.
Since
costs will vary by school district, the costs applied in the
current
model serve for illustration purposes, but represent ostensible
ranges. Furthermore, beyond increased transportation costs, it is
pos-
sible that there could be other costs which are not included in
our
model calculations, such as the costs of having to reschedule
after-
school activities. In addition, due to later school start time
costs, par-
ents could incur costs associated with having to go to work later
or
before-or after school childcare and there could be a potential
loss
of income associated with a reduction in after-school
employment
for adolescents. However, in our analysis, on average, the delay
SST
to 8:30 AM only reflected an average delay of 30 minutes. In
reality,
given that many schools start before 8 AM, it is also possible
that a
greater “dose” of the intervention (i.e., more than a 30 minute
change) could result in even greater benefits to outweigh the
costs.
Nevertheless, even if higher cost estimates (e.g. $500 per
student
per year) are applied, which likely would cover some of these
difficult
to quantify additional potential costs to parents and the wider
socie-
ty, the benefits from delaying SST would still outweigh the
costs after
fifteen years. Moreover, in conjunction with the highly
consistent and
robust data showing the widespread consequences of adolescent
sleep loss on health, safety, and academic performance,36–42
these
benefit–cost projections suggest that delaying school start times
is a
cost-effective, population-level strategy which could have a
signifi-
cant impact on public health and the US economy.
These findings must be interpreted within the constraints of the
study and the specific modeling approach. First, our model is a
simu-
lated or hypothetical “natural experiment” that presupposes a
state-
wide universal shift in school start times to 8:30 AM or later.
This pre-
supposition may seem unjustified given that start times are
generally
determined at the local district level. However, there are several
examples of proposed policy initiatives in states across the
country,
including a bill in California that mandates that California
middle
and high school start no earlier than 8:30 AM.43 Thus, the
hypothetical policy shift modeled in the current analysis is
potential-
ly a conceivable strategy. Second, we focused on the cost-
benefits of
later SST for the 47 states for which there was available data
from
the CDC on SST and the average start time was before 8:30
AM, and
therefore do not have estimates for Maryland, District of
Columbia,
North Dakota, and Alaska. Third, the specific modeling
approach
taken in this study is in part based on assumptions that may
influence
the modeling outcome. It is important to emphasize that
whenever
an assumption had to be made, we aimed to make sure that the
spe-
cific assumption would be conservative, hence leading to a
potential
underestimation of the potential true effect. Finally, as
mentioned,
our model focuses on two specific factors that drive costs: the
impact
of sleep insufficiency on motor vehicle crashes/mortality and
academic achievement/high school graduation rates. These
factors
were chosen because we were able to collect and derive robust
estimates from the literature. However, as mentioned, there are
nu-
merous other costs associated with mental and physical
morbidity
that were not included in our model. For instance, the combined
pub-
lic health costs of the obesity epidemic in children and
adolescents
and its associated cardiovascular morbidities are estimated at
$45
Table 2
Predicted benefit–cost ratio by state: cost $150 per student per
year
Years after policy shift
State 2 years 5 years 10 years 15 years 20 years
Alabama 0.1 0.4 0.8 1.3 1.8
Arizona 1.3 2.2 2.6 3.1 3.6
Arkansas 0.7 1.3 1.5 1.9 2.3
California 1.1 2.0 2.5 3.0 3.6
Colorado 1.0 1.7 2.3 3.0 3.5
Connecticut 1.8 3.2 4.1 5.1 6.0
Delaware 2.5 4.4 5.7 7.1 8.2
Florida 1.6 2.6 3.1 3.8 4.3
Georgia 0.9 1.6 2.0 2.4 2.8
Hawaii 1.6 3.3 3.7 4.4 5.0
Idaho 0.6 1.1 1.3 1.6 1.9
Illinois 0.9 1.6 2.0 2.6 3.2
Indiana 0.9 1.8 2.2 2.9 3.5
Iowa 1.3 2.3 2.9 3.3 3.8
Kansas 1.0 2.1 2.5 3.0 3.5
Kentucky 0.9 2.1 2.4 2.8 3.2
Louisiana 1.3 2.3 2.9 3.7 4.4
Maine 0.9 1.7 2.2 2.7 3.2
Massachusetts 2.4 3.9 4.5 5.2 5.9
Michigan 1.1 2.0 2.6 3.1 3.6
Minnesota 1.2 2.1 2.7 3.3 3.8
Mississippi 0.6 1.2 1.5 1.8 2.1
Missouri 1.2 2.0 2.6 3.4 4.0
Montana 1.2 2.0 2.3 2.7 3.1
Nebraska 0.9 1.6 2.0 2.5 3.0
Nevada 0.7 1.1 1.5 1.9 2.3
New Hampshire 1.0 1.9 2.5 3.1 3.7
New Jersey 1.9 3.2 4.0 4.9 5.6
New Mexico 1.3 2.1 2.6 3.0 3.4
New York 1.0 1.8 2.4 3.1 3.7
North Carolina 1.2 2.0 2.5 3.1 3.6
Ohio 1.4 2.4 2.8 3.3 3.7
Oklahoma 1.0 1.7 2.0 2.4 2.8
Oregon 1.0 1.7 2.2 2.8 3.3
Pennsylvania 0.9 1.8 2.4 3.1 3.7
Rhode Island 1.8 3.5 4.2 5.0 5.7
South Carolina 1.1 2.0 2.4 2.7 3.1
South Dakota 1.0 1.9 2.2 2.6 3.0
Tennessee 0.8 1.4 1.8 2.3 2.8
Texas 1.1 1.9 2.4 2.9 3.4
Utah 0.8 1.3 1.8 2.3 2.7
Vermont 1.2 2.2 2.7 3.4 4.0
Virginia 2.0 3.1 3.8 4.4 5.1
Washington 1.7 3.3 3.8 4.4 5.0
West Virginia 0.8 1.4 1.8 2.2 2.6
Wisconsin 1.2 2.2 2.8 3.5 4.1
Wyoming 1.6 2.9 3.6 4.4 5.1
Average 1.2 2.1 2.6 3.2 3.7
456 M. Hafner et al. / Sleep Health 3 (2017) 451–457
billion a year, and sleep loss is longitudinally associated with
in-
creased risk of obesity in children and adolescents.38 Further,
insuffi-
cient sleep among teens is associated with an increased risk of
engaging in property and violent crime.40 The direct and
indirect
costs of crime, including direct economic losses, increased
insurance
rates, loss of productivity, and various aspects of the criminal
justice
system, from police, to courts, to juvenile facilities and prisons
are
estimated in the billions of dollars.44 In addition, the robust
associa-
tion between insufficient sleep and poor sleep quality and
adolescent
risk for mental health problems and other risk-taking behaviors,
including substance use, could also contribute to substantial
societal
costs. Taken together, our estimates suggest substantial benefits
rela-
tive to costs on a state-wide basis related to a universal change
in SST
and, if anything, these estimates are likely conservative
estimates of
the true cost savings.
In summary, it is important to put this economic data in context.
The findings of this study, as well as the Brookings Institution
find-
ings, suggest that the benefits of later start times far out-weigh
the
immediate costs. Moreover, when paired with the substantial
literature demonstrating the dire public health consequences of
in-
sufficient sleep among adolescents, the multitude of health and
aca-
demic benefits associated with later start times, and the lack of
any
scientific evidence to suggest that there are benefits to having
adoles-
cents start school earlier, these data provide a strong case to
counter
the argument that changing school start times is too costly to
endeav-
or a change. Policymakers, educators, and community members
should shift from the narrow and often short-sighted focus on
the
costs of shifting to healthy start times to a focus on the
significant
benefits associated with later SST, including demonstrable
long-
term public health and economic benefits.
Supplementary data to this article can be found online at https://
doi.org/10.1016/j.sleh.2017.08.007.
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economic implications of later school start times in the United
StatesIntroductionMethodsGeneral modeling approachEstimates
of potential benefits and costs associated with a state-wide shift
in SSTCalibrating the economic model with data from different
sourcesResultsPredicted cumulative gains and benefit–cost
ratios across the USAVariation across states: Gains per student
and benefit–cost ratiosDiscussionReferences
10 February 2019 District Administration
OnTopic Nathaniel F. Watson
Before reading your report (damag.me/
sleep), I was unaware that so many
biological and physical conditions that
affect teens are tied to a lack of sleep.
Yes. As children age, particularly as they
become adolescents, their circadian
rhythms get delayed a little bit, and
they require later bedtimes and later
wake times. We know that these chil-
dren have difficulty falling asleep before
11 p.m., and they need eight to 10
hours of sleep per night to support op-
timal health. When you have these early
start times, there’s just not enough time
for them to get the healthy sleep they
need. It’s really tragic because we know
that sleep deprivation is associated with
obesity, behavioral issues, increased
risk for motor vehicle accidents, and
reduced academic performance.
Your younger years are when you de-
velop many long-term habits regarding
your health. When the system creates
this crunch, in which we’re not allow-
ing these adolescents adequate time to
sleep, we are, in a sense, setting them up
for a lifetime of sleep deprivation, or at
the very least, teaching them at an early
age that sleep isn’t as important as it ac-
tually is to their health and well-being.
Many people assume that our use
of smartphones and tablets keeps us
from sleeping.
Our physiology is linked to light-dark
cycles and much of it has to do with the
secretion of melatonin from our pineal
gland, which occurs when it gets dark.
It’s a physiological phenomenon, not
a social media/smartphone phenome-
non as many think—although certainly
screens and media and things like that
are not necessarily conducive to sleep.
�e blue wavelengths from these de-
vices can suppress melatonin secretion.
As they go through adolescence,
kids naturally get this delay in their
circadian rhythms. We have to be
sensitive to that at such a crucial time
in their growth and development. To
respect their physiology and optimize it
is really what we’re getting at here.
Your report also lists metabolic dys-
function, cardiovascular morbidity,
increased depressive symptoms and
suicidal ideations as side effects of
sleep deprivation.
Right, and you can take that a step fur-
ther. In progressive school districts that
have changed bell times to 8:30 a.m. or
later for middle and high schools, they
have higher graduation rates, reduced
truancy and improved academic perfor-
mance. �ese are tangible benefits that
have been observed in school districts
that have made these changes.
If I could tell any school board there
was one thing they could do—one
simple change they could make that
would increase graduation rates, reduce
truancy, increase mental health, reduce
motor vehicle accidents, and, frankly,
increase the mood and feeling of well-
being in the school—I think they
would do it.
Does the current evidence support
the idea that later start times result in
higher grades?
By Tim Goral
School districts around the country
are experimenting with starting
classes later to allow students to get
extra sleep. While some dismiss the
idea as pampering, Nathaniel F.
Watson says there are solid scientific
reasons to consider it.
As we age, our internal
circadian rhythms and biological
sleep drives change, resulting in
later sleep and wake times. Lack
of sleep hampers a student’s
preparedness to learn, negatively
impacts physical and mental health,
and impairs driving.
Watson, a University of
Washington professor of neurology
and co-director of the UW Medicine
Sleep Center, says that changing the
start time of the school day can help
remedy many of these problems.
“Everyone who deals with this
issue wants the same thing—for
children to be as healthy and happy
and as successful as possible in school
and life,” Watson says. “�is is one
way to move in that direction.”
Delayed school start times can have a big impact
on student health
Sleep now, learn later
DAmag.me/watsonsleep
12 February 2019 District Administration
OnTopic Nathaniel F. Watson
I think the evidence is strongest for
reduced truancy rates and increased
graduation rates. �e grade-related
comment is less strongly supported by
the evidence. But, presumably, if gradu-
ation rates are increasing, grades are
increasing and academic performance
is improving. As more school districts
make these changes, more evidence will
be available.
�e objections to changing start times
often revolve around transportation
issues and after-school activities.
Any problems with bus schedules or
practice schedules or things like that are
just issues to be solved. In particular for
practice schedules, a well-rested child is
going to be far more efficient and atten-
tive and successful in their practice, and,
ostensibly, you could have shorter, more
effective practices.
Later start times are being discussed
in a number of districts, but so far not
broadly. Do you think it will catch on
nationally?
I’d like to think that we could have
legislation that would address this issue,
either on a statewide basis or nation-
ally. �e California Legislature recently
passed a bill to have school start times
delayed in accordance with teenage
physiology, but unfortunately Gov. Jerry
Brown vetoed the measure.
We’re at a point where these changes
are made one school district, one school
board at a time.
And the only way you get to change
is to form an activated community that
shows up to school board meetings and
that elects school board members who
take this issue seriously. �at’s what hap-
pened here in the Seattle area a few years
ago. It was concerned parents, teachers
and the medical community—in par-
ticular, the sleep medicine community—
who got together, gathered all the neces-
sary information, went to school board
meetings, pressed the issue, educated
school board members, and brought
forth this change.
If parents, teachers and the medical
community are driving the issue, is the
resistance coming from school boards?
I think school boards in general try to
avoid controversy, and it takes courage to
make these changes. We live in an age in
which the zeitgeist, unfortunately, is that
sleep is not important. So a lot of school
board members, through no fault of
their own, are swimming in an ocean of
“sleep de-prioritization” and don’t know
any better.
You have to educate them about the
importance of sleep first, and I think
from a societal basis, we’re starting to
move the needle on that a bit by getting
the word out. We spend a third of our
lives sleeping, so it must be important
for human physiology.
�e transportation problem seems to
be a common sticking point.
When it comes to bus schedules, con-
sider this: Younger children have a differ-
ent physiology. �ey get up earlier. �ey
can start school earlier. �ey need to go
to bed earlier. So a lot of times, all you
have to do is flip it. Oftentimes, school
districts will bus the younger elementary
school children last and the high school
and middle school kids first, and that’s
completely antithetical to human physi-
ology. If you just flipped that around,
you could go a long way toward solving
that problem.
I realize that for some parents, their
work schedules and their younger chil-
dren’s childcare schedules need to be ad-
dressed and solved. �ose are the road-
blocks and they’re real, but they can be
solved. �at’s what has to be conveyed to
school boards.
Another potential criticism of mak-
ing this change is that we can do this,
but it doesn’t necessarily mean that kids
are going to sleep more. If we make the
change, then kids will just stay up even
later at night. But, in fact, there’s a study
here in Seattle that showed that middle
and high school students were actually
getting an additional 30 minutes of sleep
when the bell times were moved back.
What can readers do to help sell this
idea to their respective school boards?
�e American Academy of Sleep Medi-
cine has a position statement (DAmag
.me/0219-aasm), which was published
in the Journal of Clinical Sleep Medicine.
�e American Academy of Pediatrics
(www.aap.org) has a number of papers
on this issue. Bring these resources to the
board meetings. �ere are national orga-
nizations, such as StartSchoolLater.net,
that are looking into this as well.
�is really is a movement that’s going
across the country, and it’s a flat-out op-
portunity. �e reason that school leaders
do what they do is to optimize the op-
portunity for success for their students,
and this is an opportunity for leaders to
really move the needle on that. DA
Tim Goral is senior editor.
We live in an age in which the zeitgeist,
unfortunately, is that sleep is not important.
We spend a third of our lives sleeping, so it
must be important for human physiology.
Copyright of District Administration is the property of
Professional Media Group, LLC and
its content may not be copied or emailed to multiple sites or
posted to a listserv without the
copyright holder's express written permission. However, users
may print, download, or email
articles for individual use.
Mijares: L at er school st art t imes is no - L ompoc Record
(CA) - Oct ober 17,
2019
October 17, 2019 | Lompoc Record (CA) | Staff Writer
Editor's note: T his commentary is in response to: "A trifecta
for children?" A Dan Walters column
published Oct. 1.
As educators, we are always looking to improve the well-being
and success of each of our
students. In his column, Dan Walters opines that Senate Bill
328 furthers that g oal by mandating
later start times for middle and hig h school classes.
It may be true that students with better sleep patterns can be
more successful, and, let's face it,
we all want our kids to be well-rested as they start their days.
Yet a multi-year study in the research journal SLEEP and
finding s from researchers at the UC Davis
Sleep Laboratory challeng e the arg ument that students would g
et persistent benefits from a shift
in their school start time.
Not only would mandating a later start time across the board
not have the desired effect, it would
impose a hardship on too many working families. In fact, this
bill would disproportionately burden
students whose socio-economic status is already a sig nificant
educational barrier.
While it may be easy enoug h for some families with flexible
schedules to adjust, in some
communities, parents who are working just to make ends meet
don't have the luxury of delaying
the start of their workday.
T he indisputable reality in many of our communities is that
students have to beg in their day at the
same time as their parents.
T hese children are already arriving early to school if their
parents are commuting , are
farmworkers, or work in construction, restaurants or retail. Even
with later start times, many of
these parents will still have to drop their kids off at school
before they g o to work.
T hese students won't be g etting any more sleep, and the
additional idle unsupervised time alone
could put them in dang er. Parents shouldn't have to choose
between keeping their jobs and
ensuring the safety of their children.
And this doesn't take into account the back end of the school
day, when many families rely on
older sibling s to look after young er children. SB 328 by Sen.
Anthony Portantino, Democrat from
La Cañada Flintridg e, would also push after-school activities
later into the evening s.
In California, 45% of children live in low-income households
and 46% of those families are sing le-
parent families. T he idea that SB 328 will not harm any
students ig nores the real-world constraints
under which working -class families and sing le parents operate.
I am disappointed that Mr. Walters falls into the trap of
characterizing arg uments ag ainst SB 328
as adult "convenience above the welfare of the children they are
supposed to be educating ."
Maybe he assumes that every community has the means to
adjust their work schedules. Perhaps
a few can, but certainly not all. And each community is in a
better position than the state to decide
what is best for local students and their parents.
CI T AT I ON ( M LA S T YLE)CI T AT I ON ( M LA S T
YLE)
Writer, Staff. "Al Mijares: Later school start times is no
solution for teenag ers." Lompoc Record,
T he (CA), sec. Columnists, 17 Oct. 2019. NewsBank: Access
World News,
infoweb.newsbank.com/apps/news/document-view?
p=AWNB&docref=news/176A7CC214CD9F60. Accessed 28
Oct. 2019.
Copyrig ht, 2019, T he Lompoc Re cord, Lompoc, CA
Mijares: Later school start times is no - Lompoc Record (CA) -
October 17, 2019
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Sleep Health 3 (2017) 451–457Contents lists available at S.docx

  • 1. Sleep Health 3 (2017) 451–457 Contents lists available at ScienceDirect Sleep Health Journal of the National Sleep Foundation journal homepage: sleephealthjournal.org The economic implications of later school start times in the United States Marco Hafner, MPhil, MSc a, Martin Stepanek, MSc a,b, Wendy M. Troxel, PhD c,⁎ a RAND Europe, Westbrook Centre/Milton Rd, Cambridge CB4 1YG, United Kingdom b Institute of Economic Studies, Faculty of Social Sciences, Charles University, Prague, Czech Republic c RAND Corporation, Health Division, Pittsburgh, PA 15213, United States a b s t r a c ta r t i c l e i n f o ⁎ Corresponding author. E-mail address: [email protected] (W.M. Troxel). https://doi.org/10.1016/j.sleh.2017.08.007 2352-7218/© 2017 National Sleep Foundation. Published b Article history: Received 15 June 2017 Received in revised form 15 August 2017 Accepted 18 August 2017
  • 2. Keywords: School start times Adolescent sleep Cost–benefit analysis Economics Economic modeling Numerous studies have shown that later school start times (SST) are associated with positive student outcomes, including improvements in academic performance, mental and physical health, and public safety. While the benefits of later SST are very well documented in the literature, in practice there is opposition against delaying SST. A major argument against later SST is the claim that delaying SST will result in significant additional costs for schools due to changes in bussing strategies. However, to date, there has only been one published study that has quantified the potential economic benefits of later SST in relation to potential costs. The current study investigates the economic implications of later school start times by examining a policy experiment and its subsequent state-wide economic effects of a state- wide universal shift in school start times to 8.30 AM. Using a novel macroeconomic modeling approach, the study estimates changes in the economic performance of 47 US states following a delayed school start time, which includes the benefits of higher academic performance of students and reduced car crash rates. The benefit–cost projections of this study suggest that delaying school start times is a cost- effective, population-level strategy, which could have a significant impact on public health and the US economy. From a policy perspective, these findings are crucial as they demonstrate that significant economic gains resulting from the delay in SST accrue over a relatively short period of time following the
  • 3. adoption of the policy shift. © 2017 National Sleep Foundation. Published by Elsevier Inc. All rights reserved. Introduction Inadequate sleep among adolescents has emerged as a public health epidemic.1 Even though teens need an average of 8 to 10 hours of sleep each night, about 60 percent of middle school students report weeknight sleep duration of less than nine hours and only about 7 per cent of high school students report 9 hours or more of sleep per night.1 The existing literature has shown that a lack of sleep among adolescents is associated with numerous adverse out- comes, including poor physical and mental health, behavioral prob- lems, suicidal ideation and attempts, attention and concentration problems, and suboptimal academic performance.2–9 In addition, in- sufficient sleep is associated with motor vehicle crashes, the leading cause of death of teenagers.10 Many factors have been found to be associated with adolescent sleep loss, including busy social lives, school work, participation in afterschool activities, and use of technology in the bedroom.11 y Elsevier Inc. All rights reserved Furthermore, known biological changes in adolescent sleep– wake cycles contribute to delayed sleep–wake cycle.12 Rise times are pri- marily determined by a factor of public policy, and that factor is school start times (SST).13 In order to accommodate the known
  • 4. bio- logical shift in adolescent sleep–wake cycles leading to later bedtimes and later wake-times, major medical organizations recommend that middle and high schools start no earlier than 8:30 AM.14,15 Despite these recommendations, a Centers for Disease Control and Preven- tion (CDC) study estimated that 82% of middle and high schools start before 8:30 AM, with an average start time at 8:03 AM, showing significant variance of SST across different states.16 While the benefits of later SST are well-documented in the literature, in practice there is often opposition against delaying SST. A major argument against later SST is the claim that delaying SST will result in significant additional costs for schools due to changes in bussing strategies. To our knowledge, however, there has only one been one pub- lished study to date that has aimed to quantify the potential benefits of later SST in relation to potential costs. Specifically, the analysis by the Brookings Institution17 examined the cost-benefits of delaying school start times and found a benefit–cost ratio of 9:1 for a 1hour . http://crossmark.crossref.org/dialog/?doi=10.1016/j.sleh.2017.0 8.007&domain=pdf https://doi.org/10.1016/j.sleh.2017.08.007
  • 5. mailto:[email protected] https://doi.org/10.1016/j.sleh.2017.08.007 http://www.sciencedirect.com/science/journal/23527218 http://www.sleephealthjournal.org23527218 1 In economics this is referred to as a ‘multiplier effect’, which is when extra income leads to more spending in the economy which subsequently can create more income. 452 M. Hafner et al. / Sleep Health 3 (2017) 451–457 later start time among middle and upper grades. In other words, for every $1 spent, the return is $9. Costs were estimated to be $150 per year per student, based on data from a single district in North Carolina18 and were determined by a change in the school bus system, from a three-tiered bus system to a single-tier system. Cumulatively, the study estimated an average $17,500 gain per student in terms of lifetime earnings compared to $1950 in costs per student over his/her school career. While the Brookings Institution analysis shows a high benefit to cost-ratio, it is important to highlight that the time horizon for the potential benefits is protracted over the average working life of an individual (e.g., about 45 years). However, from a policymaker's perspective, it is important to have a more granular understanding of
  • 6. the timeframe for when these benefits are likely to accrue. Against this background, the current study examines the po- tential economic impact from delaying SST for middle and high schools to 8:30 AM. That is, the main research question this study aims to answer is: what are the economic implications of a state-wide universal shift in start times to at least 8:30 AM and how do they vary regionally by state and what is the expected time horizon for the benefits to occur? Specifically, this study runs a hypothetical policy experiment in order to estimate the potential year-by-year state-wide economic changes for several US states which may occur from a state- wide uni- versal shift to 8.30 AM SST compared to the current start times in each of the states [cross-state average of 8:03 AM, as reported by the CDC16]. The analysis departs from the approach taken in the Brookings Institution study in several ways. First, instead of assuming a one hour later school start time, the current distribution of school start times across different states is taken into account and the impact of an 8:30 AM SST is modeled. Second, when calculating the benefits of SST, this study takes into account the effects on student lifetime earnings as well as the potential impact of reduced car crashes among adolescents, which can have a negative impact on future labor supply of an economy if young adults die prematurely. Third, the
  • 7. Brookings analysis focused only on a general potential gain per student, whereas this study looks at potential economic effects for different re- gions, taking into account the variation of school start times and eco- nomic factors across different US States. Finally, this study also takes into account potential multiplier effects of increased lifetime earnings of individuals. For instance, at any given point in time the additional money these individuals save or consume will create further opportu- nities through further income for other agents in the economy. Methods General modeling approach The analysis is based on a theoretical dynamic general equilibrium model related to a system of mathematical equations to characterize the economic interaction of different agents in an economy such as households, firms, or the government. The economic model builds on the long tradition of computable general equilibrium (CGE) models, which have been extensively applied for economic policy analysis.19–21 CGE models are based on a detailed theoretical frame- work simulating the behavior of various agents and depicting rela- tionships between subjects in an economy described by a set of
  • 8. parameters, equations and conditions that are to be satisfied simulta- neously. The equations are then evaluated using mathematical software,22 giving a set of numerical results representing, for exam- ple, the levels of labor or capital in a simulated economy. CGE models explicitly allow for the analysis of multiple comparable scenarios which differ only in the selected set of parameters, for example by creating both a baseline (or status quo) and a ‘what if’ situation show- ing how the economy would evolve under different policy scenarios. The specific model applied in this study is a so-called ‘Overlapping Generations (OLG) model, which simulates the behavior of different cohorts of individuals over their lifecycle (see a more detailed de- scription of the model in Appendix A). Estimates of potential benefits and costs associated with a state- wide shift in SST As a first step, the model simulates the economic forecast of each of the states under consideration in the baseline scenario, using the current distribution of SST across middle and high schools in 47 US states which is provided by the CDC.16 In a second step, under a dif- ferent ‘what if’ scenario (compared to current start times), the
  • 9. model predicts how the economic output (e.g. measured as gross do- mestic product) of each state would change if the state implemented a universal shift to 8:30 AM SST. The population affected by the policy change are students from grade 6 to grade 12. In the applied economic model, it is assumed that delaying SST leads to extended sleep duration for adolescents,14 which subsequently could impact the economy in a given state through different “channels”. Specifically, we only included effects for which there were sufficient and robust parameters from the existing literature. In particular, this study focuses on two specific ben- eficial channels that could be derived from later SST: The first channel is mortality from motor vehicle crashes. The data for car crash mortality includes the underlying cause of death data provided by the CDC23 on weekday motor vehicle fatalities among teenagers age 16 to 18, combined with parameters from a study by the AAA Foundation for Traffic Safety, which revealed that about one fifth of fatal motor vehicle crashes involved a driver impaired by sleep- iness, drowsiness or fatigue.24 Together with the estimate by Danner & Phillips,25 which suggests that the car crash rate decreases by 16.5 per-
  • 10. cent due to an hour delay in SST, the potential reduction of car crash mortality rates for each state is calculated. Note that in the model, re- duced mortality levels among adolescents increase the potential future labor population and therefore has a positive effect on the economy. Thus, the labor supply effect derived from motor vehicle mortality data consists of two factors: (1) the direct impact of the individual being alive and productive; and (2) the impact on the individual's po- tential future offspring, which will subsequently be missing and hence will not contribute to the economy in the future.26 The second channel potentially contributing to the benefits of later SST is the impact on academic performance. Using data on the effect of adolescent sleep on academic performance and graduation rates from Wang et al.,9 the model predicts that longer sleep will lead to increased high-school and college graduation rates.9 Specifi- cally, Wang et al.9 estimate that one additional hour of sleep is esti- mated to increase the probability of high school graduation on an average by about 8.6% and the college attendance rate by 13.4%, both with decreasing marginal returns for each hour of additional sleep. Due to the non-linear effect of sleep duration, Wang et
  • 11. al.’s findings suggest that later school start times may create longer- run human capital benefits especially for those adolescents that sleep on average below seven hours a night, which has been estimated to affect more than 40 per cent of the adolescent population.1 The pos- itive effect on adolescents' academic performance and likelihood of high school graduation, in turn, impacts the jobs they are able to ob- tain in the future. This in turn, has a direct effect on how much a par- ticular person contributes towards the economy in future financial earnings. Due to the dynamic nature of the model, at any given point in time, the increased income these individuals save or con- sume will create further opportunities through additional income for other agents in the economy and hence increase overall economic output of each of the states.127 In essence, the effects of changes in 2 Both benefits and costs per student are discounted and presented in present-day values. The future benefits and costs have been discounted by a rate of 4% which is common among the macroeconomic literature. 453M. Hafner et al. / Sleep Health 3 (2017) 451–457
  • 12. lower car crash rates and higher educational attainment are translat- ed into economic benefits the moment an individual enters the labor market and continues to progress throughout his/her career until retirement. Note that a shift to 8:30 AM SST is likely to come with some costs, and hence it is relevant to compare the economic benefits of the delayed SST to its potential costs. As mentioned, one of the most important factors driving costs is a change in the bus system from a three-tier to a one- or two-tier system, which would incur additional costs. The Brookings Institution analysis uses a cost estimate of $150 per student per year for the cost–benefit analysis, based on estimates from a school district in Wake County, North Carolina.18 Obviously, the cost will depend on the local circumstances of each state, and even at the more granular school district level it is impossible to rep- resentatively estimate them across the USA. Hence, for the purpose of illustration of the potential benefit–cost ratios four different cost esti- mates are used in the present analyses to provide a more comprehen- sive range of potential costs: $150, $350, $500 and $700. We assume that the cost per student will occur in perpetuity after the policy shift
  • 13. to 8:30 AM SST. This is likely overestimating the actual costs as the majority of the costs would probably accrue at the beginning of the policy shift in the form of upfront investments for new bus routes. Calibrating the economic model with data from different sources In the simulated model, the economic output of each state is pro- duced using different production factors including capital and so called ‘effective labor’, which combines physical labor units (e.g. number of workers) with labor efficiency units (e.g. productivity of each unit of labor), where the latter includes units of human capital (e.g. level of education). To address the first component, physical labor, a cohort-component model is applied to predict the size of the future populations in each state using current base population es- timates from the Census Bureau,28–31 as well as mortality and fertility rates data provided by the CDC.23,32 In essence, the base population evolves over time by applying assumptions on mortality and fertility so that the state population changes according to a ‘natural’ increase (births minus deaths), providing a projection of a state's population
  • 14. by one-year cohort groups into the future. In order to address the sec- ond component, labor efficiency, several sources of data from the US Census Bureau are utilized. First, in order to inform what share of the total population belongs to each one-year cohort group, we deter- mine, the proportions of individuals in each state according to their age, gender and ethnicity33 and complement this data with detailed information on school and college attainment. Second, in order to translate the changes in SST into potential personal financial gains of potentially higher academic performance data on the average earnings by the highest educational attainment level is used, which is collected by United States Census Bureau.34 In addition, a variety of parameters were used to calibrate the model, including, among others, the hours of work, capital-labor ratios, capital stock deprecia- tion rates and the growth rate of technological change. A full model specification and a complete description of model parameters is re- ported in Hafner et al. (2017).34 Results This study illuminates the link between a state-wide universal delay in SST to 8:30 AM and economic gains to different US states.
  • 15. In what follows, the predicted cumulative gains in present-day values (2016 $ figures) aggregated across all 47 states are presented, follow- ed by a breakdown of the benefits by student and the comparison against the potential costs per student. Finally, the overall benefit– cost ratios by state are presented. Predicted cumulative gains and benefit–cost ratios across the USA Fig. 1 depicts the cumulative economic gains from delayed SST in present-day value across the 47 US states included in the analysis. The economic gains are displayed as higher levels of economic output that would occur if SST would be delayed compared to the status quo. Economic output is measured as gross state product (GSP), which is the equivalent of gross domestic product (GDP) at country level. In the first year of the shift to 8:30 AM SST, the model projects no immediate economic gain, given that the first cohort of students graduating from high school is only experiencing one-year of change in the SST policy before graduation. However, as more students will benefit over time from the delayed SST as they enter the labor mar- ket, the gains are increasing over time. For instance, after year two
  • 16. of the policy shift, the model projects an economic gain of about $8.6 billion which represents about 0.04% of total US Gross Domestic Product (GDP). After five years, the economic gain increases to about $37 billion, and to $83 billion and about $140 billion after 10 and 15 years, respectively. On average, this corresponds to an annual gain of about $9.3 billion, which is roughly the annual revenue of Major League Baseball.35 Furthermore, Fig. 2 reports the average benefit–cost ratio per stu- dent across the 47 US states using four different estimates for costs in order to capture a range of relevant scenarios for different school dis- tricts: $150, $350, $500, and $700.2 Under the assumption that the costs per student are $150, as in the Brookings Institution analysis, the benefits are predicted to outweigh the costs per student (e.g. benefit–cost ratio is larger than 1) after about 2 years of delaying SST to 8:30 AM. After 13 years, the benefit–cost ratio would reach 3:1, meaning that every $1 invested would yield a return of $3. The ratio increases annually, reaching 4:1 after 20 years. Assuming a higher cost of $350 per student per year, a universal state-wide delay in SST to 8:30 AM on average is predicted to outweigh the
  • 17. cost after 7 years. Remarkably, assuming a high cost of $500, the “break-even” point would be 16 years. Even when assuming an ex- tremely high cost of $700 per student per year, which is more than four times larger than the suggested cost per student used in the Brookings study, the economic benefits of delaying SST would out- weigh the cost per student after 25 years. Variation across states: Gains per student and benefit–cost ratios The findings presented thus far represent average figures across the 47 US states, but a state-by-state analysis reveals significant re- gional variation in the effects. For instance, Table 1 reports the gains per student across 47 states after the policy change to delay SST to 8:30 AM. For instance, in Alabama, the economic gain per student after 2 years is estimated to be about $31 per student. This is significantly lower than the average of $346 per student across the 47 states. Other states with relatively low gains per student are Arkansas, Idaho and Mississippi (between $177 and $190). On the other hand, states such as Delaware and Massachusetts would proportionally gain more than $700 per student after 2 years. Other states with rel- atively large gains per student are Connecticut, New Jersey, Ohio, Rode Island and Virginia. Note that the difference is mainly
  • 18. driven by variation in the state-wide initial average SST and underlying eco- nomic factors which also vary significantly by state (e.g. the industrial composition or average productivity levels). Table 2 reports the benefit–cost ratios by state assuming the cost per student to implement the delayed SST to 8:30 AM would be $150 Fig. 1. Predicted cumulative economic gains from delayed SST to 8:30 AM across 47 US States. Note: The figure plots the predicted discounted cumulative gains of delayed SST to 8:30 AM aggregated across 47 US states since the change of policy (from one to fifteen years). 454 M. Hafner et al. / Sleep Health 3 (2017) 451–457 per student per year. The findings suggest that with the exception of Alabama, in every other state, the economic benefits for delaying SST would outweigh the costs within 5 years after the change. The pre- dicted benefit–cost ratio after five years varies from 0.4 (Alabama) to 4.4 (Delaware). Even after two years, a majority of states are pre- dicted to reach a benefit–cost ratio of at least 1:1, meaning that for every $1 spent, there is a $1 return on investment.
  • 19. Discussion The current study is the first to measure the economic gains asso- ciated with delaying school start times in states across the US. Using a novel macroeconomic modeling approach, the findings suggest that delaying SST to 8:30 AM could lead to significant economic gains over a relatively short period of time in the form of increased overall Fig. 2. Predicted average Benefit–Cost Ratios of Delayed SST to 8.30 AM across 47 US States. N 47 U.S states after the change of policy). economic performance. Departing from the previous cost– benefit analysis provided by the Brookings Institution, this study reports the estimated year-by-year and state-by-state changes in benefits from delaying SST which average across the states from 1.2 (after 2 years) to 3.2 (after 15 years). From a policy perspective, these find- ings are crucial as they demonstrate that significant economic gains resulting from the delay in SST accrue over a relatively short period of time following the adoption of the policy shift. In comparison, the Brookings Institution estimated a benefit–cost ratio of 9:1 per student, but calculated the benefits and costs over the working life of an individual, which is about 45 years on average, and hence
  • 20. the benefit–cost ratio cannot directly be compared to the ratios predicted in this study, which are year-on-year. However, if we apply the annu- al cost in perpetuity assumption of $150 per student per year to the Brookings Institution analysis, which found that the overall lifetime ote: The figure plots the predicted benefit–cost (B-C) ratios of delayed SST to 8:30 AM across Table 1 Predicted cumulative economic gain Years after policy change (gain $ per student) State 2 5 10 15 20 Alabama 31 246 953 2220 3712 Arizona 374 1498 3325 5440 7619 Arkansas 190 904 1908 3349 4867 California 335 1357 3097 5216 7523 Colorado 294 1199 2876 5158 7515 Connecticut 517 2209 5193 8863 12,639 Delaware 733 3061 7242 12,278 17,275 Florida 456 1783 3943 6525 9145 Georgia 269 1098 2485 4109 5835 Hawaii 476 2295 4688 7553 10,653 Idaho 180 735 1676 2802 4044 Illinois 259 1082 2539 4499 6700 Indiana 273 1273 2824 5097 7459 Iowa 395 1625 3681 5756 7983 Kansas 289 1478 3117 5215 7500
  • 21. Kentucky 263 1442 3043 4916 6850 Louisiana 381 1587 3723 6422 9232 Maine 275 1148 2748 4702 6740 Massachusetts 704 2693 5673 9050 12,535 Michigan 331 1367 3248 5381 7551 Minnesota 360 1443 3395 5671 8046 Mississippi 177 856 1844 3112 4452 Missouri 341 1396 3302 5877 8468 Montana 338 1366 2942 4656 6473 Nebraska 258 1096 2527 4358 6433 Nevada 191 795 1897 3330 4896 New Hampshire 286 1343 3117 5416 7801 New Jersey 551 2207 5112 8482 11,886 New Mexico 373 1469 3268 5204 7226 New York 295 1244 2970 5298 7862 North Carolina 342 1411 3215 5413 7717 Ohio 410 1646 3510 5665 7879 Oklahoma 291 1153 2568 4226 5989 Oregon 294 1198 2758 4810 7088 Pennsylvania 276 1212 2987 5381 7900 Rhode Island 537 2406 5358 8703 12,081 South Carolina 317 1380 3050 4747 6513 South Dakota 296 1300 2744 4438 6287 Tennessee 225 967 2286 3998 5858 Texas 333 1335 3007 5022 7162 Utah 228 931 2327 3956 5654 Vermont 365 1523 3464 5876 8365 Virginia 595 2129 4774 7706 10,765 Washington 503 2308 4786 7664 10,662 West Virginia 235 972 2263 3813 5443 Wisconsin 360 1498 3572 6034 8610 Wyoming 461 1982 4497 7553 10,702 Average 346 1461 3309 5552 7906 Notes: The table reports the predicted discounted cumulative economic gains per
  • 22. student of delayed SST to 8:30 AM across all 47 US states, compared to the status quo with current distribution of SST. 455M. Hafner et al. / Sleep Health 3 (2017) 451–457 gain of a student is $17,500 for a one-hour shift in SST, and further as- sume a 45 year time horizon, then the predicted adjusted benefit– cost ratio of the Brookings Institution analysis is approximately 6:1, instead of 9:1. By taking a more comprehensive and more detailed national approach, the figures presented in Table 2 suggest that after only 15 years (about a third of the working life of an individual), the benefit–cost ratio across the 47 states is about half of the benefit– cost ratio of the Brookings analysis. If the estimates reported in Table 2 would be extended to 45 years, the ratio is predicted to in- crease to about 7.5:1, which is about 1.2 times larger than the esti- mated adjusted benefit–cost ratio by Brookings Institution (of 6:1), even though the current analysis implies generally a net increase in SST of less than an hour (approximately 30 minutes). Overall, this study only applies parameters in the calibration pro- cess of the model for which robust empirical evidence is available concerning the impact of sleep loss on affects adolescents' health and academic performance. Specifically, we utilized available
  • 23. data on car crash mortality and impaired academic performance. There- fore, our models are conservative in nature, as we did not take into account other potential impacts of insufficient sleep, such as the ef- fects on mental health, including depression and suicide, or other po- tential negative effects related to obesity or other morbidities that are also associated with insufficient sleep. Hence, the reported benefits in this study are likely an underestimation of the full benefits related to delaying SST. On the cost side, this study uses a previous estimate of $150 per student per year but also uses higher cost estimates to assess the ef- fectiveness of the policy change at a broader range of costs. Since costs will vary by school district, the costs applied in the current model serve for illustration purposes, but represent ostensible ranges. Furthermore, beyond increased transportation costs, it is pos- sible that there could be other costs which are not included in our model calculations, such as the costs of having to reschedule after- school activities. In addition, due to later school start time costs, par- ents could incur costs associated with having to go to work later or before-or after school childcare and there could be a potential
  • 24. loss of income associated with a reduction in after-school employment for adolescents. However, in our analysis, on average, the delay SST to 8:30 AM only reflected an average delay of 30 minutes. In reality, given that many schools start before 8 AM, it is also possible that a greater “dose” of the intervention (i.e., more than a 30 minute change) could result in even greater benefits to outweigh the costs. Nevertheless, even if higher cost estimates (e.g. $500 per student per year) are applied, which likely would cover some of these difficult to quantify additional potential costs to parents and the wider socie- ty, the benefits from delaying SST would still outweigh the costs after fifteen years. Moreover, in conjunction with the highly consistent and robust data showing the widespread consequences of adolescent sleep loss on health, safety, and academic performance,36–42 these benefit–cost projections suggest that delaying school start times is a cost-effective, population-level strategy which could have a signifi- cant impact on public health and the US economy. These findings must be interpreted within the constraints of the study and the specific modeling approach. First, our model is a simu- lated or hypothetical “natural experiment” that presupposes a state-
  • 25. wide universal shift in school start times to 8:30 AM or later. This pre- supposition may seem unjustified given that start times are generally determined at the local district level. However, there are several examples of proposed policy initiatives in states across the country, including a bill in California that mandates that California middle and high school start no earlier than 8:30 AM.43 Thus, the hypothetical policy shift modeled in the current analysis is potential- ly a conceivable strategy. Second, we focused on the cost- benefits of later SST for the 47 states for which there was available data from the CDC on SST and the average start time was before 8:30 AM, and therefore do not have estimates for Maryland, District of Columbia, North Dakota, and Alaska. Third, the specific modeling approach taken in this study is in part based on assumptions that may influence the modeling outcome. It is important to emphasize that whenever an assumption had to be made, we aimed to make sure that the spe- cific assumption would be conservative, hence leading to a potential underestimation of the potential true effect. Finally, as mentioned, our model focuses on two specific factors that drive costs: the impact of sleep insufficiency on motor vehicle crashes/mortality and academic achievement/high school graduation rates. These
  • 26. factors were chosen because we were able to collect and derive robust estimates from the literature. However, as mentioned, there are nu- merous other costs associated with mental and physical morbidity that were not included in our model. For instance, the combined pub- lic health costs of the obesity epidemic in children and adolescents and its associated cardiovascular morbidities are estimated at $45 Table 2 Predicted benefit–cost ratio by state: cost $150 per student per year Years after policy shift State 2 years 5 years 10 years 15 years 20 years Alabama 0.1 0.4 0.8 1.3 1.8 Arizona 1.3 2.2 2.6 3.1 3.6 Arkansas 0.7 1.3 1.5 1.9 2.3 California 1.1 2.0 2.5 3.0 3.6 Colorado 1.0 1.7 2.3 3.0 3.5 Connecticut 1.8 3.2 4.1 5.1 6.0 Delaware 2.5 4.4 5.7 7.1 8.2 Florida 1.6 2.6 3.1 3.8 4.3 Georgia 0.9 1.6 2.0 2.4 2.8 Hawaii 1.6 3.3 3.7 4.4 5.0 Idaho 0.6 1.1 1.3 1.6 1.9 Illinois 0.9 1.6 2.0 2.6 3.2 Indiana 0.9 1.8 2.2 2.9 3.5
  • 27. Iowa 1.3 2.3 2.9 3.3 3.8 Kansas 1.0 2.1 2.5 3.0 3.5 Kentucky 0.9 2.1 2.4 2.8 3.2 Louisiana 1.3 2.3 2.9 3.7 4.4 Maine 0.9 1.7 2.2 2.7 3.2 Massachusetts 2.4 3.9 4.5 5.2 5.9 Michigan 1.1 2.0 2.6 3.1 3.6 Minnesota 1.2 2.1 2.7 3.3 3.8 Mississippi 0.6 1.2 1.5 1.8 2.1 Missouri 1.2 2.0 2.6 3.4 4.0 Montana 1.2 2.0 2.3 2.7 3.1 Nebraska 0.9 1.6 2.0 2.5 3.0 Nevada 0.7 1.1 1.5 1.9 2.3 New Hampshire 1.0 1.9 2.5 3.1 3.7 New Jersey 1.9 3.2 4.0 4.9 5.6 New Mexico 1.3 2.1 2.6 3.0 3.4 New York 1.0 1.8 2.4 3.1 3.7 North Carolina 1.2 2.0 2.5 3.1 3.6 Ohio 1.4 2.4 2.8 3.3 3.7 Oklahoma 1.0 1.7 2.0 2.4 2.8 Oregon 1.0 1.7 2.2 2.8 3.3 Pennsylvania 0.9 1.8 2.4 3.1 3.7 Rhode Island 1.8 3.5 4.2 5.0 5.7 South Carolina 1.1 2.0 2.4 2.7 3.1 South Dakota 1.0 1.9 2.2 2.6 3.0 Tennessee 0.8 1.4 1.8 2.3 2.8 Texas 1.1 1.9 2.4 2.9 3.4 Utah 0.8 1.3 1.8 2.3 2.7 Vermont 1.2 2.2 2.7 3.4 4.0 Virginia 2.0 3.1 3.8 4.4 5.1 Washington 1.7 3.3 3.8 4.4 5.0 West Virginia 0.8 1.4 1.8 2.2 2.6 Wisconsin 1.2 2.2 2.8 3.5 4.1 Wyoming 1.6 2.9 3.6 4.4 5.1 Average 1.2 2.1 2.6 3.2 3.7
  • 28. 456 M. Hafner et al. / Sleep Health 3 (2017) 451–457 billion a year, and sleep loss is longitudinally associated with in- creased risk of obesity in children and adolescents.38 Further, insuffi- cient sleep among teens is associated with an increased risk of engaging in property and violent crime.40 The direct and indirect costs of crime, including direct economic losses, increased insurance rates, loss of productivity, and various aspects of the criminal justice system, from police, to courts, to juvenile facilities and prisons are estimated in the billions of dollars.44 In addition, the robust associa- tion between insufficient sleep and poor sleep quality and adolescent risk for mental health problems and other risk-taking behaviors, including substance use, could also contribute to substantial societal costs. Taken together, our estimates suggest substantial benefits rela- tive to costs on a state-wide basis related to a universal change in SST and, if anything, these estimates are likely conservative estimates of the true cost savings. In summary, it is important to put this economic data in context. The findings of this study, as well as the Brookings Institution find- ings, suggest that the benefits of later start times far out-weigh the immediate costs. Moreover, when paired with the substantial literature demonstrating the dire public health consequences of
  • 29. in- sufficient sleep among adolescents, the multitude of health and aca- demic benefits associated with later start times, and the lack of any scientific evidence to suggest that there are benefits to having adoles- cents start school earlier, these data provide a strong case to counter the argument that changing school start times is too costly to endeav- or a change. Policymakers, educators, and community members should shift from the narrow and often short-sighted focus on the costs of shifting to healthy start times to a focus on the significant benefits associated with later SST, including demonstrable long- term public health and economic benefits. Supplementary data to this article can be found online at https:// doi.org/10.1016/j.sleh.2017.08.007. References 1. Basch CE, Basch CH, Ruggles KV, Rajan S. Prevalence of sleep duration on an aver- age school night among 4 nationally representative successive samples of American high school students, 2007–2013. Prev Chronic Dis. 2014;11:E216. 2. Pasch KE, Laska MN, Lytle LA, Moe SG. Adolescent sleep, risk behaviors, and de- pressive symptoms: are they linked? Am J Health Behav. 2010;34(2):237–248.
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  • 38. politics/essential/la-pol-ca-essential-politics-updates-school- day-wouldn-t- begin-before-8-30-1496189944-htmlstory.html, Accessed date: 1 June 2017. 44. Jurisdictional and Program Self-Assessment. Consequences of Juvenile Delinquen- cy and Violence. Jurisdictional Technical Assistance Package for Juvenile Correc- tions. Rockville, MD: Office of Juvenile Justice and Delinquency Prevention (OJJDP); 2000. https://www2.census.gov/programs- surveys/popest/datasets/2010-2015/state/asrh/ https://www2.census.gov/programs- surveys/popest/datasets/2010-2015/state/asrh/ https://www2.census.gov/programs- surveys/popest/datasets/2010-2015/state/asrh/ https://www2.census.gov/programs- surveys/popest/datasets/2010-2015/state/asrh/ https://www2.census.gov/programs- surveys/popest/datasets/2010-2015/state/asrh/ https://www2.census.gov/programs- surveys/popest/datasets/2010-2015/state/asrh/ https://www2.census.gov/programs- surveys/popest/datasets/2010-2015/state/asrh/ https://www2.census.gov/programs- surveys/popest/datasets/2010-2015/state/asrh/ https://wonder.cdc.gov https://wonder.cdc.gov https://www.census.gov/data.html https://www.census.gov/data.html https://www.rand.org/pubs/research_reports/RR2109.html https://www.rand.org/pubs/research_reports/RR2109.html http://refhub.elsevier.com/S2352-7218(17)30175-4/rf0165
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  • 40. ratios across the USAVariation across states: Gains per student and benefit–cost ratiosDiscussionReferences 10 February 2019 District Administration OnTopic Nathaniel F. Watson Before reading your report (damag.me/ sleep), I was unaware that so many biological and physical conditions that affect teens are tied to a lack of sleep. Yes. As children age, particularly as they become adolescents, their circadian rhythms get delayed a little bit, and they require later bedtimes and later wake times. We know that these chil- dren have difficulty falling asleep before 11 p.m., and they need eight to 10 hours of sleep per night to support op- timal health. When you have these early start times, there’s just not enough time for them to get the healthy sleep they need. It’s really tragic because we know that sleep deprivation is associated with obesity, behavioral issues, increased risk for motor vehicle accidents, and reduced academic performance. Your younger years are when you de- velop many long-term habits regarding your health. When the system creates this crunch, in which we’re not allow- ing these adolescents adequate time to sleep, we are, in a sense, setting them up
  • 41. for a lifetime of sleep deprivation, or at the very least, teaching them at an early age that sleep isn’t as important as it ac- tually is to their health and well-being. Many people assume that our use of smartphones and tablets keeps us from sleeping. Our physiology is linked to light-dark cycles and much of it has to do with the secretion of melatonin from our pineal gland, which occurs when it gets dark. It’s a physiological phenomenon, not a social media/smartphone phenome- non as many think—although certainly screens and media and things like that are not necessarily conducive to sleep. �e blue wavelengths from these de- vices can suppress melatonin secretion. As they go through adolescence, kids naturally get this delay in their circadian rhythms. We have to be sensitive to that at such a crucial time in their growth and development. To respect their physiology and optimize it is really what we’re getting at here. Your report also lists metabolic dys- function, cardiovascular morbidity, increased depressive symptoms and suicidal ideations as side effects of sleep deprivation. Right, and you can take that a step fur-
  • 42. ther. In progressive school districts that have changed bell times to 8:30 a.m. or later for middle and high schools, they have higher graduation rates, reduced truancy and improved academic perfor- mance. �ese are tangible benefits that have been observed in school districts that have made these changes. If I could tell any school board there was one thing they could do—one simple change they could make that would increase graduation rates, reduce truancy, increase mental health, reduce motor vehicle accidents, and, frankly, increase the mood and feeling of well- being in the school—I think they would do it. Does the current evidence support the idea that later start times result in higher grades? By Tim Goral School districts around the country are experimenting with starting classes later to allow students to get extra sleep. While some dismiss the idea as pampering, Nathaniel F. Watson says there are solid scientific reasons to consider it. As we age, our internal circadian rhythms and biological sleep drives change, resulting in
  • 43. later sleep and wake times. Lack of sleep hampers a student’s preparedness to learn, negatively impacts physical and mental health, and impairs driving. Watson, a University of Washington professor of neurology and co-director of the UW Medicine Sleep Center, says that changing the start time of the school day can help remedy many of these problems. “Everyone who deals with this issue wants the same thing—for children to be as healthy and happy and as successful as possible in school and life,” Watson says. “�is is one way to move in that direction.” Delayed school start times can have a big impact on student health Sleep now, learn later DAmag.me/watsonsleep 12 February 2019 District Administration OnTopic Nathaniel F. Watson I think the evidence is strongest for reduced truancy rates and increased graduation rates. �e grade-related
  • 44. comment is less strongly supported by the evidence. But, presumably, if gradu- ation rates are increasing, grades are increasing and academic performance is improving. As more school districts make these changes, more evidence will be available. �e objections to changing start times often revolve around transportation issues and after-school activities. Any problems with bus schedules or practice schedules or things like that are just issues to be solved. In particular for practice schedules, a well-rested child is going to be far more efficient and atten- tive and successful in their practice, and, ostensibly, you could have shorter, more effective practices. Later start times are being discussed in a number of districts, but so far not broadly. Do you think it will catch on nationally? I’d like to think that we could have legislation that would address this issue, either on a statewide basis or nation- ally. �e California Legislature recently passed a bill to have school start times delayed in accordance with teenage physiology, but unfortunately Gov. Jerry Brown vetoed the measure. We’re at a point where these changes are made one school district, one school board at a time.
  • 45. And the only way you get to change is to form an activated community that shows up to school board meetings and that elects school board members who take this issue seriously. �at’s what hap- pened here in the Seattle area a few years ago. It was concerned parents, teachers and the medical community—in par- ticular, the sleep medicine community— who got together, gathered all the neces- sary information, went to school board meetings, pressed the issue, educated school board members, and brought forth this change. If parents, teachers and the medical community are driving the issue, is the resistance coming from school boards? I think school boards in general try to avoid controversy, and it takes courage to make these changes. We live in an age in which the zeitgeist, unfortunately, is that sleep is not important. So a lot of school board members, through no fault of their own, are swimming in an ocean of “sleep de-prioritization” and don’t know any better. You have to educate them about the importance of sleep first, and I think from a societal basis, we’re starting to move the needle on that a bit by getting the word out. We spend a third of our lives sleeping, so it must be important
  • 46. for human physiology. �e transportation problem seems to be a common sticking point. When it comes to bus schedules, con- sider this: Younger children have a differ- ent physiology. �ey get up earlier. �ey can start school earlier. �ey need to go to bed earlier. So a lot of times, all you have to do is flip it. Oftentimes, school districts will bus the younger elementary school children last and the high school and middle school kids first, and that’s completely antithetical to human physi- ology. If you just flipped that around, you could go a long way toward solving that problem. I realize that for some parents, their work schedules and their younger chil- dren’s childcare schedules need to be ad- dressed and solved. �ose are the road- blocks and they’re real, but they can be solved. �at’s what has to be conveyed to school boards. Another potential criticism of mak- ing this change is that we can do this, but it doesn’t necessarily mean that kids are going to sleep more. If we make the change, then kids will just stay up even later at night. But, in fact, there’s a study here in Seattle that showed that middle and high school students were actually
  • 47. getting an additional 30 minutes of sleep when the bell times were moved back. What can readers do to help sell this idea to their respective school boards? �e American Academy of Sleep Medi- cine has a position statement (DAmag .me/0219-aasm), which was published in the Journal of Clinical Sleep Medicine. �e American Academy of Pediatrics (www.aap.org) has a number of papers on this issue. Bring these resources to the board meetings. �ere are national orga- nizations, such as StartSchoolLater.net, that are looking into this as well. �is really is a movement that’s going across the country, and it’s a flat-out op- portunity. �e reason that school leaders do what they do is to optimize the op- portunity for success for their students, and this is an opportunity for leaders to really move the needle on that. DA Tim Goral is senior editor. We live in an age in which the zeitgeist, unfortunately, is that sleep is not important. We spend a third of our lives sleeping, so it must be important for human physiology. Copyright of District Administration is the property of Professional Media Group, LLC and its content may not be copied or emailed to multiple sites or
  • 48. posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. Mijares: L at er school st art t imes is no - L ompoc Record (CA) - Oct ober 17, 2019 October 17, 2019 | Lompoc Record (CA) | Staff Writer Editor's note: T his commentary is in response to: "A trifecta for children?" A Dan Walters column published Oct. 1. As educators, we are always looking to improve the well-being and success of each of our students. In his column, Dan Walters opines that Senate Bill 328 furthers that g oal by mandating later start times for middle and hig h school classes. It may be true that students with better sleep patterns can be more successful, and, let's face it, we all want our kids to be well-rested as they start their days. Yet a multi-year study in the research journal SLEEP and finding s from researchers at the UC Davis Sleep Laboratory challeng e the arg ument that students would g et persistent benefits from a shift in their school start time. Not only would mandating a later start time across the board not have the desired effect, it would impose a hardship on too many working families. In fact, this
  • 49. bill would disproportionately burden students whose socio-economic status is already a sig nificant educational barrier. While it may be easy enoug h for some families with flexible schedules to adjust, in some communities, parents who are working just to make ends meet don't have the luxury of delaying the start of their workday. T he indisputable reality in many of our communities is that students have to beg in their day at the same time as their parents. T hese children are already arriving early to school if their parents are commuting , are farmworkers, or work in construction, restaurants or retail. Even with later start times, many of these parents will still have to drop their kids off at school before they g o to work. T hese students won't be g etting any more sleep, and the additional idle unsupervised time alone could put them in dang er. Parents shouldn't have to choose between keeping their jobs and ensuring the safety of their children. And this doesn't take into account the back end of the school day, when many families rely on older sibling s to look after young er children. SB 328 by Sen. Anthony Portantino, Democrat from La Cañada Flintridg e, would also push after-school activities later into the evening s. In California, 45% of children live in low-income households and 46% of those families are sing le-
  • 50. parent families. T he idea that SB 328 will not harm any students ig nores the real-world constraints under which working -class families and sing le parents operate. I am disappointed that Mr. Walters falls into the trap of characterizing arg uments ag ainst SB 328 as adult "convenience above the welfare of the children they are supposed to be educating ." Maybe he assumes that every community has the means to adjust their work schedules. Perhaps a few can, but certainly not all. And each community is in a better position than the state to decide what is best for local students and their parents. CI T AT I ON ( M LA S T YLE)CI T AT I ON ( M LA S T YLE) Writer, Staff. "Al Mijares: Later school start times is no solution for teenag ers." Lompoc Record, T he (CA), sec. Columnists, 17 Oct. 2019. NewsBank: Access World News, infoweb.newsbank.com/apps/news/document-view? p=AWNB&docref=news/176A7CC214CD9F60. Accessed 28 Oct. 2019. Copyrig ht, 2019, T he Lompoc Re cord, Lompoc, CA Mijares: Later school start times is no - Lompoc Record (CA) - October 17, 2019