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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.
ABSTRACT
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.
Method:
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% 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.
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 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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