Research on elderly health classification and health information service optimization based on latent category analysis

Corresponding author: Luo Baojun, 891007@xxmu.edu.cn

DOI: 10.12201/bmr.202404.00013

•  

  Abstract: [Objective/Significance] The elderly were classified according to their heterogeneous health status, and the potential categories and influencing factors of their health status were discussed to promote the accuracy of health information services for the elderly. [Methods/Process] Based on the data of the China Health and Retirement Longitudinal Study (CHARLS) database in 2018, the elderly were classified according to their health status by the method of latent category analysis, and the main influencing factors were identified by regression analysis. [Result/Conclusion] The elderly could be divided into four categories according to their health status. Age, sex, education level and retirement status were significant factors affecting the health grouping of the elderly. Provide service optimization strategies based on different health categories to promote physical and mental health of the elderly.

  Key words: the elderly; Health information services; Optimization strategy; Latent class analysis

  Submit time: 15 April 2024

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
• html

• 图表

• SUN Yu-jia. The status quo and promotion strategy of health information literacy of urban elderly under the background of active aging. 2022. doi: 10.12201/bmr.202210.00004

  Hu An-qi, Ji Shun-quan. Research on Social Co-governance of Health Information Service Supply Subject——An Analysis of Online Health Information Service Platform. 2020. doi: 10.12201/bmr.202012.00001

  YANG YINAN, Li sihua, Hao Xionglei. Pension Disparity, Inequality of Aged ServiceSand the Health of Elderly. 2021. doi: 10.12201/bmr.202106.00019

  JIA Zi-wen, LI Xue-qin. Establishment of SNS-based health information service mode in medical library. 2020. doi: 10.12201/bmr.202008.00006

  zhang hangkong, MA Qi-feng, li huihui. Medical Insurance for Urban and Rural Residents, Health and Utilization of Medical Services for the Elderly:An Evidence from Five Waves of CLHLS Data. 2023. doi: 10.12201/bmr.202310.00005

  houyanjie, wangyu, yanshiyuan, zhangwenjing, zhanglin, yaojun. Effects of Long-term Care Insurance on Medical Service Utilization, Medical Burden and Health of Middle-aged and Elderly People：An empirical research based on DID. 2021. doi: 10.12201/bmr.202107.00029

  lvhekai, wangfuzhi. Analysis on influencing factors of digital health technology application obstacles in the elderly. 2023. doi: 10.12201/bmr.202311.00009

  Wu Di, Xiang Fei, Peng Yongjie. Research on the Behavioral Characteristics and Influencing Factors of? Online Health Information Surrogate Seeker of Rural Elderly. 2023. doi: 10.12201/bmr.202312.00013

  Feng Hexia. Internet medical`s application and enlightenment in elderly health management. 2021. doi: 10.12201/bmr.202109.00004

  Yan Chenyu, Hehong. The Influence of Financial Planning for Elderly in Urban Areas on the Demand for and Utilization of Community-Based Care Services. 2022. doi: 10.12201/bmr.202211.00013

• ID	Submit time	Number	Download
  1	2024-04-10	bmr.202404.00013V1	Download

• Public  Anonymous  To author only Submit Comments