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Concordance of actigraphic and ecological momentary assessed sleep

Mineo, Jocelyn (2019) Concordance of actigraphic and ecological momentary assessed sleep. Master's Thesis, University of Pittsburgh. (Unpublished)

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Abstract

There are many studies that examine different forms of sleep measurement in order to understand sleep patterns within different populations, including those with mental health issues, sleep disorders, chronic pain, and adolescents. These studies often compare subjective and objective methods of sleep measurement to observe whether or not they are in agreement. In this thesis, we examine concordance between a subjective sleep measurement, in the form of a questionnaire, and an objective sleep measurement, in the form of an actigraphic sleep watch. Four subjective questions were paired with four actigraphic sleep measurements for analysis. Continuous actigraphic measurements were categorized into quartiles or deciles to compare with their subjective categorical counterparts. Concordance was tested using three-level nested longitudinal models and Bland-Altman plots. We also analyze these variables to check for a directional influence over time using cross-lag regression methods. The intraclass correlations from the longitudinal analysis and the Bland Altman plots both revealed that the two methods of sleep measurement are not concordant. The cross-lag regression analysis indicated that there is a statistically significant directional influence for the participants’ number of awakenings and quality of sleep. Our findings supplement the findings of prior research about the lack of concordance of sleep measurement, while also adding to this work by considering directional influence.
vPublic Health Significance: Sleep habits can impact a person’s immune system, metabolism, autonomic nervous system activity, and mental health. Understanding if different methods of sleep measurement are concordant is necessary for future investigators to assess the accuracy of each measurement and choose which measurement is the most appropriate for their research. The cross-lag regression methods used in this analysis could be utilized by future researchers to understand the directional influence of other sleep variables over time.


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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Mineo, Jocelynjnm61@pitt.edujnm61
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Thesis AdvisorYouk, Adaayouk@pitt.eduayouk
Committee MemberKrafty, Robertrkrafty@pitt.edurkrafty
Committee MemberKline, Christopherchriskline@pitt.educhriskline
Date: 25 June 2019
Date Type: Publication
Defense Date: 12 April 2019
Approval Date: 25 June 2019
Submission Date: 18 April 2019
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 45
Institution: University of Pittsburgh
Schools and Programs: Graduate School of Public Health > Biostatistics
Degree: MS - Master of Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: concordance, sleep, longitudinal, cross-lag regression
Date Deposited: 25 Jun 2019 14:50
Last Modified: 25 Jun 2019 14:51
URI: http://d-scholarship.pitt.edu/id/eprint/36532

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