Date of Award

Spring 6-14-2025

Document Type

Undergraduate Honors Thesis

Degree Name

B.A. in Psychology

Organizational Unit

College of Arts Humanities and Social Sciences, Psychology

First Advisor

Sarah Enos Watamura

Second Advisor

Gina Paganini

Third Advisor

Sarah Huff

Copyright Statement / License for Reuse

All Rights Reserved
All Rights Reserved.

Keywords

Demographic risk, Cortisol, Sleep quality, Mental health outcomes, High-risk populations

Abstract

The current work explores the interplay of physiological stress, sleep quality, and demographic risk factors in mental health outcomes among parents experiencing low income. Previous research has found that mothers experiencing low income are more vulnerable to stressors and mental health disorders (Premo et al., 2023). However, the interplay among risk factors and their impact on individual risk for mental health disorders remains poorly understood. Physiological stress was measured through bedtime levels of salivary cortisol. Poor sleep was operationalized through two variables: one measuring sleep midpoint through actigraphy and one measuring sleep quality through a self-report measure. Anxiety and depression were also defined by self-report validated measures. The demographic risk factors were measured through a composite variable including teen pregnancy, unemployment, low educational attainment and single motherhood. We found poor sleep was significantly associated with more physiological stress and symptoms of anxiety. Additionally, the composite risk variable was positively associated with symptoms of depression. We also found that poor sleep predicted worsened mental health outcomes, even after accounting for other variables. In sum, we document that stress, sleep, and demographic risk factors predict mental health outcomes among parents experiencing low income. This work underscores the importance of sleep in mental health interventions, providing implications for policy makers and clinicians to identify sleep-related issues early on in high-risk samples.

Copyright Date

5-26-2025

Publication Statement

Copyright is held by the author. This work may only be accessed by members of the University of Denver community. The work is provided by permission of the author for individual research purposes only and may not be further copied or distributed. User is responsible for all copyright compliance.

Rights Holder

Hadley Freedman

Provenance

Received from author

File Format

application/pdf

Language

English (eng)

Extent

43 pgs

File Size

741 KB



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