Jeong Wonjeong, Kim Woorim, Han Kyu-Tae
Cancer Knowledge and Information Center, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.
National Hospice Center, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.
Front Public Health. 2025 Apr 25;13:1507691. doi: 10.3389/fpubh.2025.1507691. eCollection 2025.
Health screening is crucial for detecting medical needs and presenting effective alternatives. As Korea undergoes rapid demographic shifts and widening regional gaps, screening is increasingly important to identify these needs. This study explores how changes in regional population size related to health screening uptake among Korean adults.
Data on 182,437 adults from the 2021 Korean Community Health Survey (KCHS) were used, with health screening divided into cancer and general medical screening. Regional population size, aging index and financial independence ratio from 2012 to 2022 KOSIS were linked to our data. Generalized linear mixed effects models were applied for hierarchical logistic regression analysis of the association between the regional population size and screening, controlling for regional- and individual-level variables.
Decrease in regional population size were significantly associated with lower odds ratio (OR) of receiving health screening; OR 0.85 (95% CI 0.83-0.88), as well as cancer screening; OR 0.87 (95% CI 0.85-0.90). Similar results were observed in regions with stable in population size.
Our study findings indicate the significant associations between regional population size decline and screening. Population-based policies should consider regional attributes to ensure equitable access to screening services.
健康筛查对于发现医疗需求并提供有效的替代方案至关重要。随着韩国人口结构迅速变化以及地区差距不断扩大,筛查对于识别这些需求变得越来越重要。本研究探讨了韩国成年人中地区人口规模变化与健康筛查接受情况之间的关系。
使用了2021年韩国社区健康调查(KCHS)中182,437名成年人的数据,健康筛查分为癌症筛查和一般医疗筛查。将2012年至2022年韩国统计局(KOSIS)的地区人口规模、老龄化指数和财务独立比率与我们的数据相关联。应用广义线性混合效应模型对地区人口规模与筛查之间的关联进行分层逻辑回归分析,同时控制地区和个人层面的变量。
地区人口规模的下降与接受健康筛查的较低优势比(OR)显著相关;OR为0.85(95%置信区间0.83 - 0.88),以及癌症筛查;OR为0.87(95%置信区间0.85 - 0.90)。在人口规模稳定的地区也观察到了类似结果。
我们的研究结果表明地区人口规模下降与筛查之间存在显著关联。基于人群的政策应考虑地区属性,以确保公平获得筛查服务。