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(Unpublished)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Unpublished |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