Objective: Providing women with a high quality of life is an important element in creating a healthy society. The aim of this study was to investigate the life quality of women aged 15-49 living in Elazig city centre, and the factors affecting these women’s quality of life.

Materials and Methods: This cross-sectional study included 547 women between the ages of 15-49, in Elazig city centre. The sample group was selected through the systematic sampling method from the records of the family physicians included in the study. The women in the sample group were administered a questionnaire including the SF-36 Quality of Life Scale through face-to-face interviews.

Results: The mean age of women participated in the study was 32.21±9.88, and 67.5% of those women were married. 13.9% of the participants were illiterate/only literate, 79.2% did not work, and 16.3% did not have social security/had a green card. Women’s mean scores on the following sub-dimensions ofthe SF-36 Quality of Life Scale were physical function:81.25±19.49, physicalrole difficulty: 59.23±44.69, pain: 57.89±30.31, general health: 56.77±20.34, vitality: 53.54±20.06, social function: 76.96±24.51, emotionalrole difficulty: 68.06±43.59, and mentalhealth: 64.06±20.72. As women’s level of education went up, their social function and emotional status did not change (P>0.05); however, their scores in physical function,physicalrole difficulty, pain, general health, vitality and mental health increased (P<0.05). As the monthly income level went up, so did the physical components of the quality of life and vitality scores (P<0.05). The quality of life scores went down in the presence of chronic and mental illness (P<0.05).

Conclusion: Consequently, it was observed that women scored lower on the following subscales of the SF-36 Quality of Life Scale: physical role difficulty, pain, general health, vitality, emotional role difficulty and mental health, while they scored higher on physical function and social function. The quality of life mean scores show significant differences based on socioeconomic variables. In order to improve women’s quality of life, there should be awareness-raising and preventative action plans put together with the participation of non-governmental and public organizations.