Abstract
The aim of this study is to determine how the quality of life of individuals changes according to demographic variables such as gender, marital status, age, personal income, family income, education, place of work, current employment status, with whom they live at home, the number of people living in the house, the number of rooms in the house where they live, the ownership status of the house, the presence of the room belonging to the individual in the living house, paying hire for home. The research is descriptive research, and all individuals with or without physical health constitute the main body of the research. Research data is collected by electronic questionnaires. In the study, the random sampling method and the Quality-of-Life Scale (QoLS) developed by Ardahan (2020) were used as data collection tools. The sample size consists of 689 individuals (Xage = 39.80 ± 1.67). In the evaluation of the data, besides descriptive statistics, Independent-Samples T Test, ANOVA test and LSD test were used to determine between which groups the difference was. The results were questioned at the significance level of 0.01 and 0.05. According to the research findings, QoLS is a multidimensional concept and the sub-dimensions of it; When Family Relationship, Perceived Income Level, Physical Health, Work/School Life, Feeling Safe, Social Pressure, Time Allocation, Neighborhood Relationship, Satisfaction with the Living Environment, Satisfaction with the Social Environment, Perceived Environmental Safety, Finding Sufficient Home, Being a Volunteer, Spiritual Life, Satisfaction with Education, Having Tools/Equipment and Well- Being were compared by gender, marital status, age, personal and family income, education, place of work, current employment status, who lives in the house, the number of people living in the house, the number of rooms in the house where the house is lived, the ownership status of the house where the house is lived, the presence of a room belonging to the individual in the living house, and the situation of renting the house in which they live have effect on each sub dimension of QoLS and show different statistically significant differences in sub-dimensions.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0799/a.php" alt="Hit counter" /></p>
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