Analysis of Factors Affecting Quality of Life (QoL) in Middle-Aged Stroke Patients (Under 65 Years Old) in the Rehabilitation Phase: Multivariate Regression Analysis.

Abstract

Purpose: This study analyzed factors influencing the quality of life (QoL) in stroke patients during the rehabilitation phase so that rehabilitation professionals, caregivers, and stroke patients can pay attention to all aspects that contribute significantly to a better QoL and can design appropriate interventions to improve patient welfare and support a more significant recovery process.

Patients and methods: A non-experimental quantitative approach with a cross-sectional design was conducted with 76 adult stroke patients in the rehabilitation phase. Data were collected using an interval-scale paper-based questionnaire and analyzed using univariate analysis techniques and multivariate regression analysis.

Results: The results showed that social support, sleep quality, self-esteem, hardiness, spirituality, and psychological well-being affected patients' QoL in all domains (P = 0.000). More specifically, the physical domain was significantly affected by sleep quality (P = 0.000), spirituality (P = 0.004), and psychological well-being (P = 0.000). The psychological domain was significantly affected by social support (P = 0.000), sleep quality (P = 0.017), hardiness (P = 0.000), and spirituality (P = 0.007). The social domain was significantly influenced by social support (P = 0.002), sleep quality (P = 0.044), and self-esteem (P = 0.000). Finally, the environmental domain was significantly influenced by social support (P = 0.002) and self-esteem (P = 0.000).

Conclusion: The success of stroke patient recovery in the rehabilitation phase is marked by the goodness of all domains of QoL. This study obtained the analysis result of specific factors affecting each domain in QoL. Therefore, patients, families, nurses, and other health care providers have a crucial role in efforts to create a better QoL in stroke patients in the rehabilitation phase by considering the factors that have the most significant influence.