Influence of National Health Screening Program on All-Cause Mortality in Korea Analysis of the Korean Longitudinal Study of Aging, 2006–2014
10.21215/kjfp.2019.9.4.366
- Author:
Joo Young LEE
1
;
Sung Hi KIM
;
Geon Ho LEE
;
Yun A KIM
;
Eun Ryeong JUN
;
Min Jeong JU
Author Information
1. Department of Family Medicine, Daegu Catholic University School of Medicine, Daegu, Korea. khmksh@cu.ac.kr
- Publication Type:Original Article
- Keywords:
Health Screening;
All-Cause Mortality;
Cox Proportional Hazard Model
- MeSH:
Aging;
Chronic Disease;
Depression;
Education;
Health Behavior;
Insurance, Health;
Korea;
Longitudinal Studies;
Marital Status;
Mass Screening;
Mortality;
Proportional Hazards Models;
Survival Rate
- From:
Korean Journal of Family Practice
2019;9(4):366-372
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
BACKGROUND: To investigate the impact of national health screening on all-cause mortality risk, aged over 45.METHODS: Data from Korean Longitudinal Study of Aging 2006–2014 were assessed. A total of 10,254 participants were included at baseline, and survival rate was assessed biennially. Using cox proportional hazards model, the effect of health screening on mortality risk was investigated. Covariates were gender, depression, education, marital status, co-habitants, house income, social engagement, economic satisfaction, private health insurance, residence location, chronic diseases, and health behaviors (smoking, alcohol intake, regular exercise).RESULTS: At baseline 2006, 54.4% of participants didn't undergo health screening. A hazard ratio (HR) for mortality risk of non-participants were 1.36 (95% confidence interval [CI], 1.21–1.53) after adjusting age and gender. Adding marital status and co-habitants to model 1 as covariates, HR was 1.34 (95% CI, 1.18–1.50) (model 2). Adding depression scores and socioeconomic vulnerabilities to model 2, HR was 1.29 s (95% CI, 1.14–1.45) (model 3). Adding chronic diseases to model 3, HR was 1.26 (95% CI, 1.14–1.48) (model 4). Finally, health behaviors have been added to model 4, HR was 1.24 (95% CI, 1.10–1.40) (model 5). In addition, the mortality risk increased as the cumulative number of missing health screenig increased accordingly.CONCLUSION: Health screening was an independent factor to reduce mortality risk. Therefore, active encouragement to participate the health screening should be implemented to reduce all-cause mortality.
