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与参与国家健康筛查计划相关的地区因素:使用国家数据进行的多层次分析。

Regional factors associated with participation in the national health screening program: a multilevel analysis using national data.

机构信息

Department of Family Medicine, Seoul National University Hospital, Seoul, Korea.

出版信息

J Korean Med Sci. 2013 Mar;28(3):348-56. doi: 10.3346/jkms.2013.28.3.348. Epub 2013 Mar 4.

Abstract

High participation rates are important for maximizing the effects of a health screening program. Previous studies have suggested that individual or regional characteristics have effects on health behaviors. In this study, we investigated the determinants of participation in the National Screening Program for Transitional Ages by simultaneously analyzing individual and area-level factors by multilevel analysis. A total of 1,081,216 subjects, aged 40 and 66 yr and nested in 254 areas, were included. There was a significant variation in participation rates across the areas even after adjusting for individual and area-level variables. Among the individual-level variables, increasing age, sex, higher income, and mild disability grade were associated with a higher participation rate. In urban areas, the 40-yr-old group had higher participation rates than the 66-yr-old group. Deprived areas had significantly high participation rates for both age groups. The number of screening centers per 1,000 inhabitants had no significant effect on participation in the screening program. In conclusion, regional characteristics are associated with participation rates independent of personal features and regional factors have differential effects with respect to age. A multi-dimensional approach is recommended to promote participation in health screening programs.

摘要

高参与率对于最大限度地发挥健康筛查计划的效果很重要。先前的研究表明,个体或地区特征对健康行为有影响。在这项研究中,我们通过多水平分析同时分析个体和地区水平因素,调查了过渡年龄段国家筛查计划参与的决定因素。共纳入了 1081216 名年龄在 40 岁和 66 岁的个体,嵌套在 254 个地区中。即使在调整了个体和地区水平变量后,各地区的参与率仍存在显著差异。在个体水平变量中,年龄、性别、收入较高和轻度残疾等级与较高的参与率相关。在城市地区,40 岁组的参与率高于 66 岁组。贫困地区两个年龄组的参与率都显著较高。每 1000 名居民的筛查中心数量对筛查计划的参与没有显著影响。总之,区域特征与参与率相关,独立于个人特征,并且区域因素对年龄有不同的影响。建议采取多维方法来促进健康筛查计划的参与。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae6f/3594596/bd9bdb91d85b/jkms-28-348-g001.jpg

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