• School of Public Health, Jiangxi Province Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, P.R.China;
ZHOU Xiaojun, Email: zxj12zxj@sohu.com
Export PDF Favorites Scan Get Citation

Objectives To investigate and analyze the activities of daily living status and influencing factors for the elderly of long-term care in Shangrao City of Jiangxi Province, and provide a basis for Shangrao City to carry out long-term care insurance for the elderly. Methods Cluster sampling was used to investigate the elderly aged 60 and over in 12 counties (cities, districts)of Shangrao, including the elderly general demographic characteristics and activity of daily living survey. Results A total of 1 087 elderly people were surveyed, with an average age of 77.75±8.12 and a total 70.6±21.4 score of activity of daily living. Comparing different age groups, the elder age group had a worse activity of daily living (P<0.001). Those with a higher education level had relatively poor activity of daily living (P<0.001), and those with spouse also had poor activity of daily living (P<0.05). Multiple linear regression analysis showed that age (P<0.001), education level (P<0.001), marital status (P<0.05) and income level (P<0.05) were important factors affecting the scores of activity of daily living of the elderly. Conclusions Age, education level, marital status, low-income situation, chronic disease, and household registration are the main risk factors affecting the score of the long-term care of the elderly in daily life. The establishment of a long-term care insurance system should be based on chronic diseases, age, marital status and other factors to determine the corresponding long-term care standard scoring system and compensation standards.

Citation: XU Rudan, ZHOU Xiaojun, HUANG Boshu, SHI Lu, ZHOU Haixia, KANG Xu. The activities of daily living status and influencing factors for the elderly of long-term care in Shangrao City. Chinese Journal of Evidence-Based Medicine, 2019, 19(2): 135-139. doi: 10.7507/1672-2531.201809057 Copy

  • Previous Article

    Clinical characteristics and prognosis of carbapenem-resistant Klebsiella pneumoniae infection of critical patients
  • Next Article

    Risk factors associated with prediabetes in Chinese: a meta-analysis