SLEEP 2011 Abstract Supplement

A. Basic Science VIII. Behavior
ranges that coincided with the biological night (270 - 90 deg) and the
biological day (90 - 270 deg), respectively. All participants completed a
VAS and a PVT every 2.5h during each wake period. PVT response time
(RRT) and VAS ratings were standardized within individuals against
their respective baseline average and standard deviation.
Results: The standardized data were analysed using a mixed-effects
ANOVA with ‘Condition’ (high, low sleep dose), ‘Prior Wake’ (7 levels),
‘Circadian Phase’ (biological night, day) and ‘Measure’ (RRT, VAS) as
fixed terms, and ‘Participant’ as a random term. There was a significant
Measure x Condition x Circadian Phase. Compared to VAS ratings, RRT
degraded to a greater extent after sleep restriction, especially during the
biological night.
Conclusion: Subjective alertness did not reflect the full extent of reduced
performance capacity during the biological night when sleep was
restricted. Given that subjective alertness is often the only available
information upon which performance capacity is assessed, our results
suggest that fatigued individuals are likely to under-estimate their neurobehavioural
impairment.
Support (If Any): This study is financially supported by the Australian
Research Council.
0204
RELATION BETWEEN NONMEDICAL PSYCHOSTIMULANT
USE AND SLEEP DURATION
Clegg-Kraynok M 1 , Montgomery-Downs HE 2
1
Psychology, Ohio Northern University, Ada, OH, USA, 2 Psychology,
West Virginia University, Morgantown, WV, USA
Introduction: Self-reported rates of nonmedical psychostimulant use
among emerging adults are high (up to 43%). However, the relation between
nonmedical psychostimulant use and objectively measured sleep
has not been evaluated. The purpose of this study was to compare actigraphically-measured
sleep among emerging adult users of nonmedical
psychostimulants compared to non-users.
Methods: Sleep was assessed for one week with continuous wrist actigraphy.
Nonmedical psychostimulant use was confirmed with urinalysis
at daily meetings with the researcher. Participants were 14 nonmedical
psychostimulant using, and 14 non-using emerging adults. The sample
was 71% female and was 19.32±1.59 years in age, and an attempt was
made to match groups on age, gender, grade point average, regularity of
bedtime, and living arrangement.
Results: Over the 1-week period, there was not a statistically significant
difference in sleep measures between users and non-users. In an examination
of only nonmedical psychostimulant users, total sleep times were
significantly lower on nights preceding use (M = 310.71, SD = 116.89
minutes) compared to nights not preceding use (M = 419.63, SD = 87.69
minutes) [F (1, 79) = 15.06; p < 0.001]. No differences were found between
nights following and not following use.
Conclusion: This study suggests that among emerging adults using
psychostimulants nonmedically, these drugs may be used to compensate
for shortened total sleep time on the previous night which is not compensated
for on subsequent nights. Future research should examine the
possible link among nonmedical psychostimulant users’ cycle of sleep
loss and self-medication, as it may have serious implications for grades,
mood disturbance, and reaction times.
Support (If Any): West Virginia University Doctoral Student Research
support; West Virginia University Alumni Fund; and West Virginia University
Behavioral and Biomedical Sciences Training Scholarship Research
Award
0205
GOT SLEEP? THE IMPACT OF TRAINING SCHEDULES ON
THE SLEEP OF ELITE ATHLETES
Sargent C 1 , Lastella M 1 , Halson SL 2 , Roach GD 1
1
Centre for Sleep Research, University of South Australia, Adelaide,
SA, Australia, 2 Department of Physiology, Australian Institute of Sport,
Canberra, ACT, Australia
Introduction: In any sport, successful performance requires a planned
approach to training. While good-quality sleep is recognised as an essential
component of this approach, the impact of training schedules on
the amount of sleep routinely obtained by elite athletes has not been systematically
evaluated. The aim of this study was to examine the impact
of training start times on the amount of sleep obtained by elite athletes.
Methods: Data were collected from a group of 70 nationally ranked athletes
from seven different sports. Participants wore wrist activity monitors
and completed self-report sleep/training diaries for at least five days.
Measures extracted from the diaries and activity data included: training
start time, pre-training fatigue level, and total sleep time (TST).
Results: Separate linear mixed model regression analyses were used to
determine (1) the effect of training start time on TST, and (2) the effect
of TST on pre-training fatigue levels. There was a significant effect of
training start time on TST. Specifically, TST decreased as training start
time advanced, from under 5h/night for sessions that began between
05:00-06:00h, to over 7h/night for sessions that began between 10:00-
12:00h. There was also a significant effect of TST on pre-training fatigue
level. Pre-training fatigue level decreased as TST increased.
Conclusion: These results indicate that early morning training sessions
systematically reduce the amount of sleep obtained by elite athletes
and increase pre-training fatigue levels. This practice has two important
implications for training performance. First, insufficient sleep and
high fatigue levels immediately prior to a training day could impair an
athlete’s motivation and thus, their ability to train effectively. Second,
people who obtain insufficient sleep over several consecutive days have
impaired immune function, which in the case of elite athletes, places
them at greater risk of developing respiratory tract infections and other
health problems.
Support (If Any): This study was financially supported by the Australian
Research Council.
0206
INHIBITION OF SELF-GROOMING IN SLEEP-RESTRICTED
DAM RATS
Pires GN 1 , Alvarenga T 1 , Maia LO 1 , Mazaro-Costa R 2 , Tufik S 1 ,
Andersen ML 1
1
Departamento de Psicobiologia, Universidade Federal de São
Paulo, São Paulo, Brazil, 2 Departamento de Ciências Fisiológicas,
Universidade Federal de Goiás, Goiânia, Brazil
Introduction: It is well known that sleep curtailment leads to neurobehavioral
comorbities during pregnancy such as perinatal depression and
maternal fatigue. However, the effects of sleep restriction over motherinfant
relationship still warranted further investigation. This study assessed
the effects of sleep restriction during pregnancy over maternal
behavior and maternal aggression.
Methods: Eighteen pregnant rats were distributed in 2 groups: 1) Control
(n=9): not subjected to any manipulation during the gestation, and 2)
Sleep restriction (n=9): submitted to sleep restriction during pregnancy
through modified multiple platform method during 18h per day (from
04:00 PM to 10:00 AM). At post-partum day 5, female rats were submitted
to behavioral tests to evaluation of maternal behavior. The tests
were: 1) resident-intruder paradigm (introduction of a naive male rat in
the home-cage of the female rat and its respective litter to behavioral
observation), and 2) latency test (time to retrieve the first and eighth pup
after 5 minutes of maternal separation).
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SLEEP, Volume 34, Abstract Supplement, 2011