This study examined the relationship of predictors like age, weight, treatment adherence, social support and educational level on the QOL scores: Physical Composite Score (PCS), Mental Composite Score (MCS), & Kidney Disease Component Summary (KDCS). The respondents, adult CKD patients on hemodialysis in a private tertiary hospital in the Philippines were chosen through convenience sampling. A validated Filipino version of Kidney Disease Quality of Life Short Form Version 1.3 was utilized. Bivariate correlation and multiple linear regression were then used in data analysis. It is concluded that PCS might be predicted by treatment adherence while social support and educational level could be predictors to MCS. It was found out that rare treatment adherence can seemingly have a positive effect with MCS. For KDCS, treatment adherence and social support showed positive correlation, while age shown inverse relationship, unlike with previous studies. Nurses and other healthcare providers should consider the impact of these significant predictors when rendering care for adult HD patients in order to improve their quality of life.