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CN 34-1304/RISSN 1674-3679

Volume 25 Issue 6
Jul.  2021
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Article Contents
YANG Xiu-lan, SHAO Ming, CUI Meng-jie, XU Jun, Hu Meng-zhi, LIU Yun-xiao. Current status and influencing factors of healthy fitness of the elderly in Hefei City[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(6): 679-685,715. doi: 10.16462/j.cnki.zhjbkz.2021.06.011
Citation: YANG Xiu-lan, SHAO Ming, CUI Meng-jie, XU Jun, Hu Meng-zhi, LIU Yun-xiao. Current status and influencing factors of healthy fitness of the elderly in Hefei City[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(6): 679-685,715. doi: 10.16462/j.cnki.zhjbkz.2021.06.011

Current status and influencing factors of healthy fitness of the elderly in Hefei City

doi: 10.16462/j.cnki.zhjbkz.2021.06.011
Funds:

Provincial Quality Engineering Project of Anhui Provincial Department of Education 2019sjjd17

More Information
  • Corresponding author: YANG Xiu-lan, E-mail: 395311575@qq.com
  • Received Date: 2021-01-17
  • Rev Recd Date: 2021-03-14
  • Publish Date: 2021-06-10
  •   Objective  To investigate the status and influencing factors of healthy fitness among elderly population in Hefei City, and to provide data reference for the formulation of health policies and measures.  Methods  A multi-stage random sampling method was used to select 967 elderly people who met the inclusion criteria. The uniformly trained investigators used questionnaires to conduct face-to-face surveys of the survey subjects. The SPSS 23.0 software was used to conduct single factor analysis and multiple linear regression analysis of related factors affecting the healthy fitness of the elderly.  Results  There were significant differences in healthy fitness (physiological, psychological and social) among the elderly in Hefei, which were related to gender, age, marital status, sleep duration and quality, chronic disease, personality, frequency of meeting children, experience of major life events, etc. The differences were statistically significant (all P < 0.05). The results of multiple linear regression analysis showed that gender, age, sleep, chronic disease, meeting frequency of children, personality, experience of major life events, etc. were influencing factors of the differences in healthy fitness of the elderly (all P < 0.05). In addition, the random forest regression model showed that education level, age and personal monthly income were the three most important influencing factors.  Conclusions  The healthy fitness of the elderly in Hefei was at a general level. The education level, sleep condition, economic income and pension mode of the elderly are the focus of attention, so targeted intervention measures should be taken to improve the health level of the elderly.
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