ArticleInternational journal of environmental research and public health2024
Quantitative Definition of Low-Health-Interest Populations by Using Regression Trees: A Nationwide Internet Survey in Japan.
Article in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Public awareness of anesthesiologists in Japan: information sources and sex-age differences in a nationwide cross-sectional web survey.Journal of anesthesia · 2026Article
- Heterogeneous effects on body mass index in the "checkup championship": A behavioral science-based health promotion program by health interest level.Preventive medicine reports · 2025Article
- Characteristics of employees with lower health interest in a Japanese IT company: a cross-sectional study using Breslow's health practice index.Journal of occupational health · 2025Article
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Authors and funding
7 authors.
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Abstract
backgroundReducing health disparities is a public health issue. Identification of low-health-interest populations is important, but a definition of people with low health interest has not yet been established. We aimed to quantitatively define low-health-interest populations.
methodsA nationwide cross-sectional internet survey was conducted in 2022. We compiled regression tree (RT) analyses with/without adjustment for age, sex, and socioeconomic status with the 12-item Interest in Health Scale (IHS, score range 12-48) as an explanatory variable and the 10 composite health behaviors as a dependent variable. We defined the first IHS branching condition from the root node as a lower-health-interest group and the terminal node with the lowest health behaviors as the lowest-health-interest group.
resultsThe mean IHS value of 22,263 analyzed participants was 32.1 ± 5.6; it was higher in females and in those who were aged over 45 years, had a high education, a high income, or a spouse. The first branching condition was IHS 31.5, and the terminal node branched at 24.5, before/after adjustment for covariates.
conclusionsWe determined the cutoff values of the IHS as <32 for a lower-health-interest group and <25 for the lowest-health-interest group. Using these cutoffs might enable us to reveal the characteristics of low-health-interest populations.
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