Aims: The purpose of this study is to explore the impact of intra-personal (stroke severity, and stroke fear of recurrence), inter-personal (loneliness), and extra-personal (economic status) stressors on quality of life among patients with stroke using quantile regression analysis. Methods: This study was a secondary analysis of a previous study to identify factors affecting the quality of life of patients with stroke (Choi, Kim, Kim, & Nho, 2021). This study was designed based on the Betty Neuman’s systems theory. Data were collected from 139 stroke patients between January and February 2020. Participants completed the Korean Short version of the Stroke-Specific Quality of Life Scale, National Institutes of Health Stroke Scale, Modified Rankin Scale, Stroke Fear of Recurrence Scale, University of California at Los Angeles Loneliness Scale, and monthly household income. Quantile and multiple linear regressions were used to analyze the factors contributing to quality of life. Results: In multiple linear regression, stroke severity, stroke fear of recurrence, and loneliness were significant factors. These variables accounted for approximately 77% of the variance in QoL. In quantile regression, stroke severity (in 10%, 25%, 50%, 75%, and 90%), stroke fear of recurrence (in 10%, 25%, 50%, and 75%), loneliness (in 25%, 50%, 75%, and 90%), economic status (in 25%), marital status [married] (in 75%, and 90%), and occupation [yes] (in 75%, and 90%) were significant factors. Conclusion: We confirm the dynamic influences of intra-personal, inter-personal, and extra-personal stressors according to the levels of quality of life. It proposes that the affecting stressors according to the levels of quality of life should be considered in designing effective programs to enhance quality of life among patients with stroke.