An exploration of insomnia, its correlates and psychological treatment options in younger and older adults, and in post stroke survivors

McDonald, Kirsty (2020) An exploration of insomnia, its correlates and psychological treatment options in younger and older adults, and in post stroke survivors. D Clin Psy thesis, University of Glasgow.

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Abstract

Background: Previous research has found an association between loneliness and insomnia however it is unclear if this link exists within a student population and if so, whether it is mediated by feelings of anxiety and depression. This study explores this further.
Methods: Secondary data was analysed on 1117 undergraduate students, across 6 UK Universities, who had completed self-report measures of insomnia, loneliness, anxiety, and depression
Results: A moderate association (r=-.388, p<.001) was found between loneliness and insomnia. Multiple regression indicated that depression fully mediated the relationship between loneliness and insomnia, whilst there was no mediating effect of anxiety.
Conclusion: Students with symptoms of insomnia and loneliness are likely to experience symptoms of depression although not necessarily anxiety. Although loneliness is not classed as a psychiatric disorder, treating symptoms of depression may benefit those with complaints of loneliness and insomnia since a reduction in depression may indirectly reduce these symptoms too.

Item Type: Thesis (D Clin Psy)
Qualification Level: Doctoral
Keywords: insomnia, older adult, CBT, undergraduate student, stroke, loneliness.
Subjects: B Philosophy. Psychology. Religion > BF Psychology
H Social Sciences > H Social Sciences (General)
Colleges/Schools: College of Medical Veterinary and Life Sciences > Institute of Health and Wellbeing > Mental Health and Wellbeing
Supervisor's Name: McMillan, Professor Thomas
Date of Award: 2020
Depositing User: Dr Kirsty McDonald
Unique ID: glathesis:2020-81702
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 09 Oct 2020 13:08
Last Modified: 09 Oct 2020 14:29
URI: http://theses.gla.ac.uk/id/eprint/81702

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