Efforts and systems by local governments to improve participation rates in national and local health and nutrition surveys in Japan: Findings from a workshop 2019–2024
Midori Ishikawa, Osamu Hemmi, Yasuyo Wada, Kenichi Ohmi, Yuichi Ando, Hidemi Takimoto, Tetsuji Yokoyama

TL;DR
This paper explores how local governments in Japan can improve participation in health and nutrition surveys through shared efforts and systems.
Contribution
The study identifies specific efforts and systems for improving survey participation through workshops with local government employees.
Findings
Efforts like disseminating information and handling personal data were highlighted for survey preparation.
Cooperation with local leaders and convenient response methods improved questionnaire distribution and collection.
Post-collection efforts included standardization meetings and awareness campaigns based on survey results.
Abstract
The Japanese National Health and Nutrition Survey and local health and nutrition surveys have been used to monitor the effects of health promotion policies in Japan. However, participation rates are declining, affecting overall results. Since 2019, we have held workshops to share the efforts of local governments responsible for the survey to improve participation rates, but we have not included systems for survey implementation. Therefore, this study elucidated the efforts and systems through workshops. In 2024, 26 employees of local governments participated in the workshop using the methods developed in a previous study. The participants were divided into five groups to discuss current problems and potentially effective efforts and systems by local governments to improve participation rates. The researchers then analyzed results from the workshop, coded similar contents, and…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNutritional Studies and Diet · Data-Driven Disease Surveillance · Health disparities and outcomes
