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Predictors and estimation of risk for early exit from working life by poor health among middle and older aged workers in Korea

Authors
 Wanhyung Lee  ;  Jin-Ha Yoon  ;  Jung-Wan Koo  ;  Sei-Jin Chang  ;  Jaehoon Roh  ;  Jong-Uk Won 
Citation
 SCIENTIFIC REPORTS, Vol.8(1) : 5180, 2018 
Journal Title
SCIENTIFIC REPORTS
Issue Date
2018
Abstract
The aims of this study were to investigate the predictors and estimate the risk for early exit from work owing to poor personal health status of the retirees. This study analysed the longitudinal data of 2,708 workers aged more than 45 years old from the Korean Longitudinal Study of Ageing. Multivariate Cox regression analyses were conducted to identify the predictors and to build a prediction model for early exit from work due to poor health. Internal validation was performed using random split, and external validation using the English Longitudinal Study of Ageing. Over the 8-year follow-up, 124 workers exited work early because of poor health. Significant predictors for early exit from work due to poor health included hypertension (hazard ratio [HR], 1.52; 95% confidence interval [CI], 1.01-2.28), abnormal body mass index (HR, 1.60; 95% CI, 1.10-2.35), decreased grasping power index, and perceived health status. The prediction model designed to estimate the risk of unwanted early exit from work because of poor health status showed fair performance in both the internal and external validations. The current study revealed the specific determinants and the possibility of prediction of shortened working life due to poor health status.
Files in This Item:
T201801531.pdf Download
DOI
10.1038/s41598-018-23523-y
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Occupational and Environmental Medicine (작업환경의학과) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Preventive Medicine (예방의학교실) > 1. Journal Papers
Yonsei Authors
Roh, Jae Hoon(노재훈)
Won, Jong Uk(원종욱) ORCID logo https://orcid.org/0000-0002-9200-3297
Yoon, Jin Ha(윤진하) ORCID logo https://orcid.org/0000-0003-4198-2955
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/162412
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