The Factors Predicting Quality of Life in Elderly People in Kerman Using PRECEDE Model

Background: As life expectancy and the population of old people increases, quality of life in elderly people becomes more important. The aim of this study was to determine the factors predicting quality of life in elderly people using PRECEDE model. Methods: This is a cross-sectional descriptive-analytical study. Data were collected using the World Health Organization Quality of Life (WHOQOL)–BREF questionnaire and another questionnaire including ۶۷ questions according to the PRECEDE model components, which its reliability and validity were approved.  Multi-stage random sampling method was used in two healthcare centers in Kerman and ۸۰ elderly people were selected. Date were analyzed using linear regression and statistical indices via SPSS ۱۵. Results: The mean age of participants was ۶۷.۷±۷.۱ years old, and most of them were female and married. The quality of life of elderly people was moderate. Among components of the PRECEDE model, knowledge (a component of predisposing factors) and enabling factors were the most significant factors predicting quality of life among the participants (R۲ =۰.۴۶). Conclusion: According to the results, enabling factors and knowledge (a component of predisposing factors) were identified as the most important factors predicting quality of life. Therefore, more focus on these factors in educational programs for elderly people is recommended.

Keywords:

PRECEDE model , Quality of Life , elderly , Kerman