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使用回归树对低健康关注度人群进行定量定义:日本全国性互联网调查。

Quantitative Definition of Low-Health-Interest Populations by Using Regression Trees: A Nationwide Internet Survey in Japan.

机构信息

Teikyo University Graduate School of Public Health, Itabashi-ku, Tokyo 173-8605, Japan.

Department of Medicine, Tokyo Women's Medical University Adachi Medical Center, Adachi-ku, Tokyo 123-8558, Japan.

出版信息

Int J Environ Res Public Health. 2024 Aug 9;21(8):1049. doi: 10.3390/ijerph21081049.

DOI:10.3390/ijerph21081049
PMID:39200658
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11354196/
Abstract

BACKGROUND

Reducing 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.

METHODS

A 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.

RESULTS

The 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.

CONCLUSIONS

We 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.

摘要

背景

减少健康差距是一个公共卫生问题。识别低健康关注度人群很重要,但尚未确定低健康关注度人群的定义。我们旨在定量定义低健康关注度人群。

方法

2022 年进行了一项全国性的横断面互联网调查。我们使用包含/不包含年龄、性别和社会经济地位调整的 12 项健康兴趣量表(IHS,得分范围 12-48)作为解释变量,以及 10 项综合健康行为作为因变量,进行了回归树(RT)分析。我们将第一个 IHS 分支条件定义为低健康关注度组,而将具有最低健康行为的终端节点定义为最低健康关注度组。

结果

分析了 22263 名参与者的平均 IHS 值为 32.1±5.6;女性和年龄在 45 岁以上、受过高等教育、收入较高或有配偶的参与者的 IHS 值较高。第一个分支条件是 IHS 31.5,在调整了协变量后,分支点在 24.5。

结论

我们确定了 IHS<32 为低健康关注度组的临界值,IHS<25 为最低健康关注度组的临界值。使用这些临界值可能能够揭示低健康关注度人群的特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc59/11354196/d79b46fd1f6a/ijerph-21-01049-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc59/11354196/48d4086a092b/ijerph-21-01049-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc59/11354196/9f6f86bc9fcd/ijerph-21-01049-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc59/11354196/d79b46fd1f6a/ijerph-21-01049-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc59/11354196/48d4086a092b/ijerph-21-01049-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc59/11354196/9f6f86bc9fcd/ijerph-21-01049-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc59/11354196/d79b46fd1f6a/ijerph-21-01049-g003.jpg

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