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A Multi-Level Analysis of Factors Affecting Participation in Health Screenings: A Focus on Household and Regional Factors
Soyoon Park1 , Young-jeon Shin2
1Institute of Public Health, Hanyang University, Seoul, Korea
2Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Korea
Corresponding Author: Soyoon Park ,Email: cre5486@naver.com
Received: May 18, 2021;  Accepted: October 25, 2021.
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.
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.
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% CI 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.
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 specially household-level factors are likely to be the most effective for improving the screening rate.
Key words: Health Screening; Community Health Survey(CHS); Multi-Level Analysis; Screening rate; Geographic difference
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