Volume 44 Issue 7
Jul.  2023
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Gui ZHOU, Yongxue YANG, Jia LIU, Lei FENG. Characteristics and Correlation Analysis of the Psychological Status of 1035 Elderly People in the Place in Sichuan Province[J]. Journal of Kunming Medical University, 2023, 44(7): 142-147. doi: 10.12259/j.issn.2095-610X.S20230726
Citation: Gui ZHOU, Yongxue YANG, Jia LIU, Lei FENG. Characteristics and Correlation Analysis of the Psychological Status of 1035 Elderly People in the Place in Sichuan Province[J]. Journal of Kunming Medical University, 2023, 44(7): 142-147. doi: 10.12259/j.issn.2095-610X.S20230726

Characteristics and Correlation Analysis of the Psychological Status of 1035 Elderly People in the Place in Sichuan Province

doi: 10.12259/j.issn.2095-610X.S20230726
  • Received Date: 2023-05-10
  • Publish Date: 2023-07-25
  •   Objective   To understand the psychological status of the elderly, through a survey of the elderly in Chengdu, to explore the correlation between the different psychological status of the elderly, to find the cut-in point for the related departments to establish the intervention strategy of the psychological status of the elderly in the early stage.   Methods   By using a multi-stage sampling method, the sampled communities were selected according to the east, west, south, north, and central. From March 5, 2022 to July 22, 2022, a self-designed questionnaire was used to conduct a field survey among the elderly in the community, collected basic information, cognitive status, depression status, anxiety status, psychotic symptoms of the elderly, etc. chi-square test and rank sum test were used to analyze the differences of psychological status among the elderly with different demographic characteristics, and Spearman correlation analysis was used to analyze the correlation among the different psychological status of the elderly.   Results   It is based on the chi-square and rank sum test on the psychological status of the elderly with different demographic characteristics. There was statistically significant difference among the elderly in terms of social support (Z = -2.348, P = 0.019), anxiety (χ2 = 11.434, P = 0.001), and cognitive impairment (χ2 = 120.56 , P < 0.001). There was a statistically significant difference in cognitive impairment ( χ2 = 5.105, P = 0.024) among the elderly with different marital status. There were statistically significant differences in social support (H = 14.512 , P = 0.006), depression (χ2 = 7.033 , P = 0.008), and cognitive impairment (χ2 = 29.152, P < 0.001) among the elderly of different occupational types. There were statistically significant differences in social support ( H = 12.019, P = 0.017) and cognitive impairment (χ2 = 56.752, P < 0.001) among the elderly with different educational levels. There were significantly correlated with social support and depression ( r = -0.079, P = 0.011), social support and anxiety (r = -0.092, P = 0.003), cognitive impairment and depression (r = 0.117 , P < 0.001), and cognitive impairment and anxiety ( r = 0.179, P < 0.001), cognitive impairment and symptoms of mental illness ( r = 0.188 , P < 0.001), depression and anxiety ( r = 0.320 , P < 0.001), depression and symptoms of mental illness ( r = 0.103, P = 0.001), anxiety and symptoms of mental illness (r = 0.215, P < 0.001).   Conclusions   It is different in the psychological status of the elderly with different demographic characteristics, and there is a correlation between different psychological statuses. The relevant departments should formulate comprehensive intervention strategies according to the different demographic characteristics of the elderly, when a single mental state is found, it is necessary to carry out other related mental state investigations, which can effectively improve the mental state of the elderly and promote healthy aging.
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