Analysis of the Kokuho Database to Identify regional differences based on complex Health Data of latter-stage elderly

Authors

  • Akane Hagimoto Tokyo University of Science
  • Aya Ishigaki
  • Taku Harada

DOI:

https://doi.org/10.52731/lbds.003.147

Abstract

In recent years, the global population has been aging. In Japan, where the aging rate is particularly high, the employment of older workers is increasing in the field of production and logistics. In line with this trend, the number of occupational accidents among the older adult has been increasing, and there is a need to improve the well-being of the older adult. Therefore, the purpose of this study is to identify regional differences in their well-being health status by analyzing questionnaires of Kokuho database (KDB), to pick up towns where new policies should be considered, and to consider future strategies. In this section, we will compare the results of the analysis by township and by individual. In addition, by utilizing a geographic information system to overlay geographic data, the characteristics of the community were extracted. As a result, it was found that older adult need to satisfy many health factors to lead a satisfactory life, and that there are regional differences in the health factors that they satisfy. In addition, characteristics that did not emerge in township levels could be seen in the analysis of individual levels. Furthermore, comparison with other questionnaires showed the usefulness of the KDB.

References

United Nations Department of Economic and Social Affairs, Population Division, “World Population Prospects 2022: Summary of Results,” UN DESA/POP/2022/TR, No. 3 , 2022

Ministry of Internal Affairs and Communications, “Statistical Topics No.132 Statis-tics on the Elderly in Japan -On the occasion of Respect-for-Senior-Citizens Day-,” May. 2023; www.stat.go.jp/data/topics/pdf/topics132.pdf.

Cabinet Office, “White Paper on Aging Society 2022: Entire Edition”, May. 2023; www8.cao.go.jp/kourei/whitepaper/w-2022/html/zenbun/s1_1_1.html.

S. Kim, A. Babazono, A. Jamal, Y. Li, and N. Liu, “Comparison of care utilisation and medical institutional death among older adults by home care facility type: a retrospective cohort study in Fukuoka, Japan,” BMJ open 2021; doi:10.1136/bmjopen-2020-041964.

D. Kawaguchi, H. Mori, “The labor market in Japan, 2000-2018,” IZA Institute of Labor Economics World of Labor, May. 2023; https://doi.org/10.15185/izawol.385.v2.

K. Kudo, “Characteristics of the Elderly's Education at Japanese Small and Medium Sized Enterprises: Using the “Competition for Companies Engaged in the Elderly's Active Participation” as a Case Study,” Social Design Review, vol. 14, 2023, pp. 73-83 (In Japanese).

K. Morita et al, “Possible Association between Physical and Cognitive Function and Stumbling and Falling in Elderly Workers,” International Journal of Environmental Research and Public Health, vol. 19, no. 13826, 2022.

N. Hamid et al, “Issues and Challenges of Population Aging: Studying from Japan Super-Aging Nation and Malaysia Perspectives”, ReAttach Therapy and Develop-mental Diversities, vol. 6, no. 3, 2023, pp.541-548.

Ministry of Health, Labour and Welfare, “Report of the Employment Policy Study Group Full Text,” May. 2023; https://www.mhlw.go.jp/stf/shingi2/0000204414_00003.html.

M. Martínez, M. Grasso, J. Montero, “Regional well-being inequalities arising from healthcare expenditure public policies in Spain,” Frontiers in Public Health, vol. 10, no. 953827, 2022, pp. 1-23.

M. Kojima, S. Satake, A. Osawa, H. Arai, “Management of frailty under COVID-19 pandemic in Japan”, Global Health & Medicine, vol. 3, no. 4, 2021, pp. 196-202.

All-Japan Federation of National Health Insurance Organizations, “Kokuho da-tabase (KDB) system”, May. 2023; https://www.kokuho.or.jp/hoken/kdb.html.

Katsushika City, “Households and Population (2022),” May. 2023; https://www.city.katsushika.lg.jp/information/1000083/1005977/1027725.html.

Ministry of Health, Labour and Welfare, “Appendix_Explanation of the ques-tionnaire for the elderly and points to note,” May. 2023; https://www.mhlw.go.jp/stf/shingi2/0000204952_00001.html.

J. Black, J. Brand, J. Hay, L. Clark, “Using principal component analysis to ex-plore co-variation of vowels,” Language and Linguistics Compass, vol. 17, no. 1, 2022.

N. Khanna, E. Klyushnenkova, A. Kaysin, “Association of COVID-19 With Race and Socioeconomic Factors in Family Medicine,” The Journal of the American Board of Family Medicine, vol. 34, 2021.

Downloads

Published

2023-09-12