Journal of Preventive Medicine and Public Health

Original Articles

A Multi-level Analysis of Factors Affecting Participation in Health Screenings in Korea: A Focus on Household and Regional Factors: So Yoon Park, Young-jeon Shin; J Prev Med Public Health. 2022;55(2):153-163. Published online October 27, 2021; DOI: https://doi.org/10.3961/jpmph.21.268

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Abstract Summary PDF Supplementary Material

Objectives
This study divided the factors that affect participation in health screenings into individual, household, and regional levels and conducted a multi-level analysis to identify the factors related to participation in health screenings.
Methods
Participants from the 2017 Community Health Survey were classified into 2 groups (under 40 and 40 or older). A multi-level logistic regression analysis was conducted to identify the factors that affected participation in health screenings.
Results
The screening rate of the participants was 69.7%, and it was higher among participants aged 40 and older (80.3%) than it was among participants younger than 40 (49.8%). At the individual level, the factors that influenced participation in health screenings included age, economic activity, smoking status, physician-diagnosed hypertension, and a moderate or high physical activity level. At the household level, the odds ratio of participation in health screenings was high for participants who lived in single-person households, lived with a spouse, earned a high monthly household income, and were not beneficiaries of national basic livelihood security. At the regional level, the odds ratio at the 95% confidence interval level of participation in health screenings was high for participants who had trust in the local community and lived in an area with a proportionally high social welfare budget.
Conclusions
This study analyzed nationalwide data and confirmed that individual, household, and regional characteristics affected participation in health screenings. Therefore, policies that prioritize the improvement of regional level factors and especially household level factors are likely to be the most effective for improving the screening rate.

Summary

Korean summary
이 연구는 건강검진 수검 여부에 영향을 미치는 요인을 개인, 가구, 지역수준으로 나누어 다수준 분석을 통해 분석하였다. 건강검진 수검여부에 개인 특성뿐만 아니라 개인을 둘러싼 가구와 지역의 특성도 영향을 미친다는 것을 확인하였다. 영향요인들의 유의성을 바탕으로, 건강검진 수검률 향상을 위한 정책을 수립할 때 지역수준 요인뿐만 아니라 특별히 가구수준 요인을 개선할 수 있는 정책을 우선하는 것이 효과적일 것이다.

Citations

Citations to this article as recorded by

Sex-specific Associations between Body Mass Index and Thyroid Cancer Incidence among Korean Adults
Kyoung-Nam Kim, Kyungsik Kim, Sangjun Lee, Sue K. Park
Cancer Epidemiology, Biomarkers & Prevention.2023; 32(9): 1227. CrossRef
Factors Associated with Willingness toward Organ Donation in China: A Nationwide Cross-Sectional Analysis Using a Social–Ecological Framework
Mengjun Zeng, Haomiao Li, Xiaohui Song, Jipin Jiang, Yingchun Chen
Healthcare.2023; 11(6): 824. CrossRef

Socioeconomic Predictors of Diabetes Mortality in Japan: An Ecological Study Using Municipality-specific Data: Tasuku Okui; J Prev Med Public Health. 2021;54(5):352-359. Published online August 14, 2021; DOI: https://doi.org/10.3961/jpmph.21.215

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139 Download
3 Crossref

Abstract PDF Supplementary Material

Objectives
The aim of this study was to examine the geographic distribution of diabetes mortality in Japan and identify socioeconomic factors affecting differences in municipality-specific diabetes mortality.
Methods
Diabetes mortality data by year and municipality from 2013 to 2017 were extracted from Japanese Vital Statistics, and the socioeconomic characteristics of municipalities were obtained from government statistics. We calculated the standardized mortality ratio (SMR) of diabetes for each municipality using the empirical Bayes method and represented geographic differences in SMRs in a map of Japan. Multiple linear regression was conducted to identify the socioeconomic factors affecting differences in SMR. Statistically significant socioeconomic factors were further assessed by calculating the relative risk of mortality of quintiles of municipalities classified according to the degree of each socioeconomic factor using Poisson regression analysis.
Results
The geographic distribution of diabetes mortality differed by gender. Of the municipality-specific socioeconomic factors, high rates of single-person households and unemployment and a high number of hospital beds were associated with a high SMR for men. High rates of fatherless households and blue-collar workers were associated with a high SMR for women, while high taxable income per-capita income and total population were associated with low SMR for women. Quintile analysis revealed a complex relationship between taxable income and mortality for women. The mortality risk of quintiles with the highest and lowest taxable per-capita income was significantly lower than that of the middle-income quintile.
Conclusions
Socioeconomic factors of municipalities in Japan were found to affect geographic differences in diabetes mortality.

Summary

Citations

Citations to this article as recorded by

Worldwide burden and trends of diabetes among people aged 70 years and older, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019
Shimin Jiang, Tianyu Yu, Dingxin Di, Ying Wang, Wenge Li
Diabetes/Metabolism Research and Reviews.2024;[Epub] CrossRef
The Effect of Neighborhood Deprivation on Mortality in Newly Diagnosed Diabetes Patients: A Countrywide Population-Based Korean Retrospective Cohort Study, 2002–2013
Kyoung-Hee Cho, Juyeong Kim, Young Choi, Tae-Hyun Kim
International Journal of Environmental Research and Public Health.2022; 19(7): 4324. CrossRef
Depression, cognitive dysfunction and other factors associated with 5-year overall mortality in type 2 diabetes mellitus: a pilot prospective observational study
E. G. Starostina, M. N. Volodina, I. V. Starostin
Diabetes mellitus.2022; 25(4): 327. CrossRef

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