SLEEP 2011 Abstract Supplement
SLEEP 2011 Abstract Supplement
SLEEP 2011 Abstract Supplement
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B. Clinical Sleep Science XII. Sleep and Aging<br />
0883<br />
<strong>SLEEP</strong> DISCREPANCY, <strong>SLEEP</strong> COMPLAINT, AND POOR<br />
<strong>SLEEP</strong> AMONG OLDER ADULTS<br />
Williams JM 1 , Kay DB 1 , Rowe M 2 , McCrae C 1<br />
1<br />
Clinical and Health Psychology, University of Florida, Gainesville,<br />
FL, USA, 2 Nursing, University of Florida, Gainesville, FL, USA<br />
Introduction: Discrepancy between sleep diary and actigraphic measured<br />
sleep has been documented among those with insomnia. While<br />
aspects of this difference may reflect measurement error, considerable<br />
portions of sleep discrepancy (SD) may be meaningful.<br />
Methods: The current study explored SD in four groups of community<br />
dwelling older adults: good sleeping complainers, poor sleeping complainers,<br />
good sleeping non-complainers and poor sleeping non-complainers.<br />
Participants (N = 153, Mean age = 71.6) were screened for<br />
comorbid sleep disorders, completed demographic questions, BDI-II,<br />
and 14 consecutive nights of sleep diaries and actigraphy.<br />
Results: A MANCOVA [F(12,331.01) = 8.876, p < 0.001] controlling<br />
for gender, medical conditions, medications, and depression symptoms<br />
showed significant group differences on relative amounts of SOL<br />
[F(3,128) = 11.566, p < 0.001] and WASO [F(3,128) = 13.928, p <<br />
0.001] SD and frequency of SOL [F(3,128) = 8.883, p < 0.001] and<br />
WASO SD [F(3,128) = 28.102, p < 0.001]. Greater amount and frequency<br />
of WASO SD (p’s < 0.01) best separated poor sleeping complainers<br />
from the other groups. Among those with poor sleep (regardless of complaint),<br />
there was little difference in SOL SD (quantity or frequency).<br />
A multiple regression analysis predicting depressive symptoms showed<br />
an association between the quantity of SOL (β = 0.39) and WASO (β =<br />
0.323) SD beyond medical and demographic factors [F(8,127) = 6.52, p<br />
< 0.001, r2 = 0.291].<br />
Conclusion: These results suggest that older adults with poor sleep have<br />
heightened awareness of idle time in bed and that this impact is more<br />
pronounced in the middle of the night among individuals with a sleep<br />
complaint. Furthermore, these results suggest that the degree to which<br />
participants’ self report of SOL and WASO exceeded actigraphy was<br />
associated with more depressive symptoms. The concurrent patterns of<br />
sleep discrepancy and depressive symptoms may be linked through the<br />
effects of cognitive hyperarousal, which has been independently suggested<br />
as an explanation for depression, sleep discrepancy and insomnia.<br />
Support (If Any): This project was supported by a grant from the National<br />
Institute of Health/National Institute of Aging (1 R21 AG024459-<br />
01 Christina S. McCrae, PhD, PI).<br />
0884<br />
SELF-REPORTED <strong>SLEEP</strong> DURATION IN ADULTS: CHANGE<br />
AND CORRELATES OF CHANGING DURATION OVER<br />
20 YEARS OF FOLLOW-UP IN THE WISCONSIN <strong>SLEEP</strong><br />
COHORT STUDY<br />
Hagen EW, Barnet JH, Young T, Peppard PE<br />
Population Health Sciences, University of Wisconsin, Madison, WI,<br />
USA<br />
Introduction: Short and long usual sleep durations are associated with<br />
health decrements and increased mortality. Reports of repeated crosssectional<br />
evaluations of sleep duration have suggested a pattern of decreasing<br />
mean duration in recent decades; however, there have been<br />
almost no studies examining longitudinal trends in US adults. We use<br />
>20 years of self-reported sleep duration data from the Wisconsin Sleep<br />
Cohort Study to characterize within-subject trends in sleep duration.<br />
Methods: 1686 Wisconsin Sleep Cohort Study subjects (58% female,<br />
30-61 years old in 1988) provided 7825 (from 3 up to 9 per subject)<br />
survey and interview-based self-reports of usual sleep duration between<br />
1988 and 2010. We fit individual-level sleep duration slopes (change in<br />
duration over time) by linear regression and examined the association of<br />
subjects’ slopes with sex, baseline age (