Advancing age is accompanied by several alterations in sleep-wake behavior including nocturnal sleep disruption and an increase in daytime sleep tendency. Age is also associated with a number of medical disorders that can impact sleep quality. Population-based data show that sleep-disordered breathing (SDB), a chronic condition that is characterized by profound alterations in sleep structure, is also common in middle- aged and older adults. Although the biology of sleep has been a topic of intense research, the distinct effects of age versus age-associated illness on sleep structure have not been adequately addressed. The overall objective of this application is to delineate the distinct effects of age and SDB on sleep structure and determine whether the alterations in sleep structure predict cardiovascular and non-cardiovascular endpoints, specifically daytime sleepiness and quality of life, across the adult life span. Novel analytical methods that draw upon the expertise of various scientific disciplines are proposed to analyze the electroencephalographic data collected during sleep to: (1) characterize the independent effects of age and SDB on sleep structure; and (2) determine the role of sleep structure as a putative intermediate in the causal pathway toward cardiovascular and non-cardiovascular outcomes. The current application will utilize data collected by the Sleep Heart Health Study, a multi-center longitudinal study on the cardiovascular consequences of SDB. The investigative team, which spans multiple disciplines including epidemiology, biostatistics, sleep medicine, and the engineering sciences, brings the necessary expertise to examine trajectories of sleep structure with healthy aging and age-associated illnesses. The significance of this application is that it will make a valuable contribution by providing a better understanding of the mechanistic role of sleep in increasing the age-related vulnerability to various conditions that impact general health. Insight will also be gained into the degree to which other conditions such as cardiovascular and pulmonary disease impact sleep. Although basic 'mechanistic' links cannot be directly addressed, questions related to which aspects of sleep (e.g., EEC activity, recurrent sleep-stage shift) best discriminate clinical outcomes. Finally, we expect to also provide new and much needed information on how factors such as gender and race influence sleep and quantify the adverse sleep-related effects of behaviors such alcohol use, cigarette smoking, and caffeine consumption. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
1R01HL086862-01A1
Application #
7317961
Study Section
Aging Systems and Geriatrics Study Section (ASG)
Program Officer
Twery, Michael
Project Start
2007-07-05
Project End
2011-06-30
Budget Start
2007-07-05
Budget End
2008-06-30
Support Year
1
Fiscal Year
2007
Total Cost
$369,000
Indirect Cost
Name
Johns Hopkins University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Aurora, R Nisha; Patil, Susheel P; Punjabi, Naresh M (2018) Portable Sleep Monitoring for Diagnosing Sleep Apnea in Hospitalized Patients With Heart Failure. Chest 154:91-98
Kaplan, Katherine A; Hardas, Prajesh P; Redline, Susan et al. (2017) Correlates of sleep quality in midlife and beyond: a machine learning analysis. Sleep Med 34:162-167
Aurora, R Nisha; Putcha, Nirupama; Swartz, Rachel et al. (2016) Agreement Between Results of Home Sleep Testing for Obstructive Sleep Apnea with and Without a Sleep Specialist. Am J Med 129:725-30
Swihart, Bruce J; Caffo, Brian S; Crainiceanu, Ciprian M et al. (2012) Mixed effect Poisson log-linear models for clinical and epidemiological sleep hypnogram data. Stat Med 31:855-70
Aurora, R Nisha; Crainiceanu, Ciprian; Caffo, Brian et al. (2012) Sleep-disordered breathing and caffeine consumption: results of a community-based study. Chest 142:631-638
Aurora, R Nisha; Caffo, Brian; Crainiceanu, Ciprian et al. (2011) Correlating subjective and objective sleepiness: revisiting the association using survival analysis. Sleep 34:1707-14
Laffan, Alison; Caffo, Brian; Swihart, Bruce J et al. (2010) Utility of sleep stage transitions in assessing sleep continuity. Sleep 33:1681-6
Swihart, Bruce J; Caffo, Brian; James, Bryan D et al. (2010) Lasagna plots: a saucy alternative to spaghetti plots. Epidemiology 21:621-5
Caffo, Brian; Diener-West, Marie; Punjabi, Naresh M et al. (2010) A novel approach to prediction of mild obstructive sleep disordered breathing in a population-based sample: the Sleep Heart Health Study. Sleep 33:1641-8
Stamatakis, Katherine A; Punjabi, Naresh M (2010) Effects of sleep fragmentation on glucose metabolism in normal subjects. Chest 137:95-101

Showing the most recent 10 out of 15 publications