Investigating the Relationship Between Depression and Stress and Death Anxiety Among the Elderly

Background: the present study is an applied and descriptive survey in terms of respectively purpose and method. the aim of this study is to investigate the relationship between personality styles and depression in housewives. method: the statistical population of the study is elderly women of tehran which 384 people were selected as the sample and questionnaires were randomly distributed among them. the validity of the questionnaire questions was confirmed by professors and experts, and the reliability of the questionnaire questions using cronbach's alpha test was calculated 0.83. spss software was used to analyze the findings. result: the results of kolmogorov-smirnov test showed abnormality of data, so the nonparametric spearman test was used to examine the research hypotheses. the results of the analysis showed that the correlation between depression and death anxiety variables was confirmed with a coefficient of 0.874 and was accepted with sig = 0.000 and at a 95% confidence level. due to the fact that significance level of the correlation coefficient is less than five percent, so there is a direct and significant relationship between the two variables of depression and death anxiety. as a result, the h0 hypothesis is rejected and the h1 hypothesis is confirmed. also, the correlation between the two variables of stress and death anxiety was confirmed with a coefficient of 0.809 and is acceptable with sig = 0.000 and at a 95% confidence level. since the significance level of the correlation coefficient is less than five percent, so there is a direct and significant relationship between the two variables of stress and death anxiety. as a result, the h0 hypothesis is rejected and the h1 hypothesis is confirmed. conclusion: death anxiety as an abnormal fear of death undermines effective adaptation. the aim of this study was to investigate the relationship between depression and stress and death anxiety among the elderly.