000007677 001__ 7677
000007677 005__ 20231129124936.0
000007677 0247_ $$2DOI$$a10.6083/m4wh2pht
000007677 037__ $$aETD
000007677 245__ $$aFinding subtypes of obstructive sleep apnea using cluster analysis
000007677 260__ $$bMarylhurst University: Oregon Health and Science University
000007677 269__ $$a2017
000007677 336__ $$aThesis
000007677 502__ $$bM.S.
000007677 520__ $$aOne hundred million people worldwide have obstructive sleep apnea (OSA), a disorder characterized by collapse of the upper airway and repeated pauses in breathing throughout sleep(1-5). Sleep fragmentation caused by sleep apnea can lead to daytime sleepiness(2, 4, 6, 7), increased risk for motor accidents(2, 6), and reduced quality of life. The physiological changes associated with these pauses are believed to contribute to the development of hypertension(2-4), diabetes mellitus(2), obesity(2), stroke(2, 3), and heart disease(2, 3).
000007677 650__ $$aPhenotype$$023948
000007677 650__ $$aSleep Apnea Syndromes$$026067
000007677 650__ $$a Cluster Analysis $$028809
000007677 691__ $$aSchool of Medicine$$041369
000007677 7001_ $$aLi, Jason
000007677 8564_ $$9ba91e80b-fa6c-4cad-8278-f8da633a167e$$s2451087$$uhttps://digitalcollections.ohsu.edu/record/7677/files/Li.Jason.2017.pdf
000007677 905__ $$a/rest/prod/dz/01/0q/64/dz010q64c
000007677 909CO $$ooai:digitalcollections.ohsu.edu:7677$$pstudent-work
000007677 980__ $$aTheses and Dissertations