Volume 19 Issue 4
Apr.  2021
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Article Navigation >  Chinese Journal of General Practice  > 2021  >  19(4): 625-627, 683
WANG Chen-chen, XIE Hui, CAI Wei-wei. Analysis on the frailty of the elderly in community and its influencing factors[J]. Chinese Journal of General Practice, 2021, 19(4): 625-627, 683. doi: 10.16766/j.cnki.issn.1674-4152.001878
Citation: WANG Chen-chen, XIE Hui, CAI Wei-wei. Analysis on the frailty of the elderly in community and its influencing factors[J]. Chinese Journal of General Practice, 2021, 19(4): 625-627, 683. doi: 10.16766/j.cnki.issn.1674-4152.001878
shu

Analysis on the frailty of the elderly in community and its influencing factors

doi: 10.16766/j.cnki.issn.1674-4152.001878

  • School of Nursing, Bengbu Medical College, Bengbu, Anhui 233030, China

Funds:

 18030801133

 Byycx1942

  • Received Date: 2020-06-21
    Available Online: 2022-02-16
    Abstract
  •   Objective  This study aimed to understand the current status of frailty and physical activity of the elderly in Bengbu community, analyse the influencing factors of frailty and provide a basis for further development of frailty prevention and intervention measures to delay the occurrence of frailty.  Methods  A total of 405 cases of elderly people, who were residing in the community of Bengbu City, Anhui Province, from July to December 2019, were conveniently selected as the survey subjects. The general information questionnaire, Tilburg frailty index (TFI) and physical activity scale for the elderly (PASE) were used in this study. The research subjects were asked to fill out the questionnaires for data collection. SPSS 25.0 statistical software was used to perform descriptive statistics, correlation analysis, chi-square test and linear regression analysis on the data.  Results  Amongst the 400 elderly cases, 59 (14.8%) were frail: physical frailty (0.76±1.15) points, mental frailty (1.26±1.03) points and social frailty (1.14±0.85) points. Statistically significant differences in age, gender, marital status, level of education, lifestyle, chronic disease and per capita monthly income (all P < 0.05) were found between the frail group and the non-frail group. The total score range of PASE scale was (91.95±53.12) points. The frailty of the elderly in the community was negatively correlated with physical activity (r=-0.434, P < 0.01). Multiple linear stepwise regression analysis showed that gender, marital status, lifestyle, chronic diseases and physical activity were the influencing factors of frailty (all P < 0.05).  Conclusion  Community medical staff must pay attention to the screening and evaluation of debilitating high-risk groups, particularly women, living alone, widowed or divorced, chronic diseases and elderly people with low physical activity, and timely take corresponding measures to deal with the occurrence of frailty and its adverse outcomes. Patients and their families must be instructed to face frailty, understand disease-related knowledge, reduce the occurrence of adverse health outcomes and improve the quality of life of the elderly.

     

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