Date of Conferral

7-10-2024

Date of Award

July 2024

Degree

Doctor of Public Health (DrPH)

School

Public Health

Advisor

C.J. Schumaker

Abstract

The purpose of this quantitative study was to explore the intricate connections among perceived stress, sleep quality, and social media usage metrics, challenging prior assumptions by highlighting social media as a noteworthy stress coping mechanism. The research aimed to understand the relationship between sleep quality, perceived stress, and the frequency and quality of social media use, guided by the biopsychosocial model as the theoretical framework.The study involved adults aged 20-65. A questionnaire incorporated four validated instruments to assess these variables: the Epworth Sleepiness Scale (ESS), Internet Addiction Diagnostic Questionnaire (IADQ), Perceived Stress Scale (PSS), and Social Media Quality Measure (SMQM). The results indicate that the IADQ predicted perceived stress (PSS) (B = 0.17, R² = .34) and sleep quality (ESS) (B = .09, R² = .15). The SMQM predicted perceived stress (PSS) (B = -.27, R² = .10). However, the anticipated correlation between sleep quality (ESS) and perceived stress (PSS) was not established, suggesting areas for further research. The findings suggest a need for targeted interventions to address social media addiction and emphasize the importance of fostering healthy social media habits for societal well-being. Implications for positive social change include the development of targeted interventions and educational initiatives to promote healthier social media habits, improve sleep quality, and manage stress. This study findings advocate for a balanced approach to technology use, recognizing its impact on mental health and sleep quality, and highlighting potential benefits for individuals and broader society.

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