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

Gui ZHOU; Yongxue YANG; Jia LIU; Lei FENG

doi:10.12259/j.issn.2095-610X.S20230726

Volume 44 Issue 7

Jul. 2023

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Article Navigation > Journal of Kunming Medical University > 2023 > 44(7): 142-147

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

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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

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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

1.
Dept. of Infection Management Division
2.
Dept. of Geriatrics
3.
Dept. of Training，The chengdu 5th People’s hospital affiliated to Chengdu University of Chinese Medicine， Chengdu Sichuan 611130，China

Received Date: 2023-05-10
Publish Date: 2023-07-25

Abstract

Abstract

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.
- Epidemic Prevention and control,
- Elderly,
- Psychological status,
- Correlation analysis

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References(35)

References

[1]	梅斯医学. 如何结束全球新冠疫情?Nature最新: 来自112个国家和地区的386名专家达成共识[EB/OL]. （2022-11-13）[2023-06-23]. https://new.qq.com/rain/a/20221113AOOS1P00.
[2]	新浪美股, 新冠疫情或给全球经济造成82万亿美元损失[EB/OL]. （2020-05-21）[2022-11-13]. https://tech.sina.com.cn/roll/2020-05-21/doc-iircuyvi4193206.shtml.
[3]	胡芳芳,赵燕,李梦华,等. 新型冠状病毒肺炎长期后遗症负面影响及对策建议[J]. 中国公共卫生,2022,38(9):1229-1232.
[4]	鲁杨,陈琳,顾吉娜,等. “长新冠”综合征的研究进展[J]. 中华医院感染学杂志,2022,32(16):2556-2560.
[5]	Liu M,Zhao X,Liu Z. Relationship between psychological distress,Basic psychological needs,Anxiety,Mental Pressure,and athletic burnout of chinese college football athletes during the COVID-19 pandemic[J]. Sustainability,2022,14(12):1-13.
[6]	李湘君,王中华. 社会关系类型与空巢老人认知功能的关系研究[J]. 现代预防医学,2023,50(5):848-853.
[7]	罗微,程鹏. 空巢老人社会参与状况对其健康状况的影响[J]. 医学与社会,2023,36(4):37-42.
[8]	郭慧峰,潘锋丰,耿慧,等. 平均动脉压与高龄老人认知功能减退的相关性[J]. 中国老年学杂志,2019,36(3):526-529. doi: 10.3969/j.issn.1005-9202.2019.03.005
[9]	张红. 中文版GDS-15和PHQ-9在老年人抑郁评估中的适用性分析[D]. 济南: 山东大学, 2020.
[10]	周滢. 老年轻度认知障碍患者情绪问题多模态特征融合分类模型的构建与评价研究[D]. 北京: 北京协和医学院, 2022.
[11]	张瑞雪. 社区慢性病老年人社会支持、慢性病自我效能和幸福感的相关性研究[D]. 辽宁: 锦州医科大学, 2017.
[12]	陈涛. 老年人认知衰弱的年龄与性别差异研究[D]. 济南: 山东大学, 2021.
[13]	魏蒙,王红漫. 中国老年人失能轨迹的性别,城乡及队列差异[J]. 人口与发展,2017,23(5):74-81,98. doi: 10.3969/j.issn.1674-1668.2017.05.008
[14]	刘堃,翟向明,刘丽萍,等. 老龄化背景下社区老年人健康教育需求[J]. 中国老年学杂志,2021,41(4):861-864. doi: 10.3969/j.issn.1005-9202.2021.04.056
[15]	Ebimgbo S O,Chukwu N E,Okoye UO. Gender differences in family support to older adults and implications for social work in south-east Nigeria[J]. Journal of Aging Studies,2021,59(1):100979.
[16]	Lin H,Xiao S,Shi L,et al. Impact of multimorbidity on symptoms of depression,anxiety,and stress in older adults: is there a sex difference?[J]. Frontiers in Psychology,2021,12(1):1-8.
[17]	Furuto-Kato S,Araki A,Chiba Y,et al. Relationship between the thyroid function and cognitive impairment in the elderly in Japan[J]. Internal Medicine (Tokyo,Japan),2022,61(1):3029-3036.
[18]	颜娉婷,刘丹,程桂荣,等. 老年人婚姻状况与轻度认知障碍及痴呆相关性的横断面研究[J]. 中山大学学报(医学科学版),2022,43(2):229-237.
[19]	王一卉. 社会支持和社会参与对我国老年人认知功能障碍发生风险的影响[D]. 兰州: 兰州大学, 2021.
[20]	杨学琴. 社区居民抑郁状态及早期干预有效性研究[D]. 北京: 北京中医药大学, 2012.
[21]	苟梦琪,孙海清,杨源瑞,等. 老年高血压脑卒中患者认知障碍的危险因素分析[J]. 老年医学与保健,2021,27(5):982-986. doi: 10.3969/j.issn.1008-8296.2021.05.022
[22]	刘艾红,彭颖洁,朱文莉,等. 社会支持、抑郁对社区老年人衰弱的影响分析[J]. 中华现代护理杂志,2022,28(20):2690-2693. doi: 10.3760/cma.j.cn115682-20210727-03326
[23]	景璐石,冯景蕙,陈贤清,等. 农村丧偶老年人抑郁状况与社会支持、应对方式的相关性[J]. 中国老年学杂志,2021,41(11):2414-2416. doi: 10.3969/j.issn.1005-9202.2021.11.050
[24]	金雅茹. 社区老年人衰弱与抑郁: 社会支持的中介及调节作用[D]. 济南: 山东大学, 2019.
[25]	徐澳,王伟炳,朱丹红,等. COVID-19疫情下上海市社区居民社会支持、焦虑及睡眠质量关系研究[J]. 中华疾病控制杂志,2022,26(2):188-192,217.
[26]	王莉,吴松起,施雁,等. 居家老年痴呆患者家庭照顾者焦虑抑郁与社会支持状况的相关性分析[J]. 中华现代护理杂志,2022,28(17):2289-2295. doi: 10.3760/cma.j.cn115682-20210929-04445
[27]	王锦秀,王剑涛,胡月,等. 抑郁和焦虑与老年认知障碍患者认知水平的相关性分析[J]. 中国临床医学,2022,29(4):536-543.
[28]	李庆. 疾病对老年人认知功能的影响[J]. 医学理论与实践,2011,24(1):116-117. doi: 10.3969/j.issn.1001-7585.2011.01.091
[29]	秦立伟,罗艳艳,常红娟,等. 社区老年人孤独感、抑郁与自我感知老化的关系研究[J]. 中国社会医学杂志,2022,39(4):445-449.
[30]	位彦鸽. 重性精神疾病患者抑郁症状与局部功能连接、血浆瘦素水平的相关性研究[D]. 沈阳: 中国医科大学, 2018.
[31]	Nagoor K,Darivemula S B,Reddy N B,et al. Prevalence of mental illness and their association with sociodemographic factors in the rural geriatric population in chittoor,andhra pradesh,India: a community-based study[J]. Journal of Education and EealthPromotion,2018,7(1):1-7.
[32]	周倩华. 新冠肺炎疫情期间老年病科住院患者临床特点分析[D]. 唐山: 华北理工大学, 2021.
[33]	黄斌英,张婷婷,邹国娟,等. 新型冠状病毒肺炎疫情下老年人的心理状态调查和防控分析[J]. 全科护理,2020,18(8):935-937.
[34]	Dhakal U,Koumoutzis A,Vivoda J M. Better together: Social contact and loneliness among U. S. older adults during COVID-19[J]. J Gerontol B Psychol Sci Soc Sci,2023,78(2):359-369. doi: 10.1093/geronb/gbac136
[35]	Yang H,Hu J. Loneliness or abandonment: The adaptability of the elderly in elderly care institution during Anti-COVID-19 epidemic[J]. Chinese Journal of International review,2022,4(1):1-28.

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