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Original Article
Exploring the impact of age and socioeconomic factors on health-related unemployment using propensity score matching: results from Korea National Health and Nutrition Examination Survey (2015–2017)
Ye-Seo Lee, Dong-Wook Lee, Mo-Yeol Kang
Ann Occup Environ Med 2024;36:e16.   Published online July 1, 2024
DOI: https://doi.org/10.35371/aoem.2024.36.e16
AbstractAbstract AbstractAbstract in Korean PDFSupplementary MaterialPubReaderePub
Background

Previous reports showed that age and socioeconomic factors mediated health-related unemployment. However, those studies had limitations controlling for confounding factors. This study examines age and socioeconomic factors contributing to health-related unemployment using propensity score matching (PSM) to control for various confounding variables.

Methods

Data were obtained from the Korean National Health and Nutrition Examination Survey (KNHANES) from 2015–2017. We applied a 1:1 PSM to align health factors, and examined the association between health-related unemployment and age or socioeconomic factors through conditional logistic regression. The health-related unemployment group was compared with the employment group.

Results

Among the 9,917 participants (5,817 women, 4,100 men), 1,182 (853 women, 329 men) were in the health-related unemployment group. Total 911 pairs (629 women pairs and 282 men pairs) were retained after PSM for health factors. The results of conditional logistic regression showed that older age, low individual and household income levels, low education level, receipt of the Basic Livelihood Security Program benefits and longest-held job characteristics were linked to health-related unemployment, despite having similar health levels.

Conclusions

Older age and low socioeconomic status can increase the risk of health-related unemployment, highlighting the presence of age discrimination and socioeconomic inequality. These findings underscore the importance of proactive management strategies aimed at addressing these disparities, which are crucial for reducing the heightened risk of health-related unemployment.

연령과 사회경제적 요인이 건강 관련 실업에 미치는 영향: 성향점수매칭을 활용한 한국 국민건강영양조사(2015-2017)자료 분석 결과
목적
이전 연구들에서 연령 및 사회경제적 요인들이 건강 관련 실업을 연관되어 있다는 것을 보여주었으나, 이러한 연구들은 교란 요인을 통제하는 데 한계가 있었다. 본 연구는 다양한 교란 변수를 통제하기 위해 성향점수매칭을 사용하여 건강 관련 실업에 기여하는 요인들을 분석하고자 하였다.
방법
2015년부터 2017년까지 조사된 국민건강영양조사 자료를 활용하였으며, 건강 관련 실업군을 취업군과 비교하였다. 우리는 1:1 성향점수매칭을 적용하여 두 군 간의 건강관련 요인을 통제하였으며, 조건부 로지스틱 회귀 분석을 통해 건강 관련 실업과 연령 및 사회경제적 요인 간의 관련성을 조사하였다.
결과
9,917명의 참가자(5,817명의 여성, 4,100명의 남성) 가운데 건강 관련 실업군은 1,182명(853명의 여성, 329명의 남성), 취업군은 5,777명(2,894명의 여성, 2,883명의 남성)이었다. 성향점수매칭 후 조건부 로지스틱 회귀의 결과, 고령, 낮은 개인 및 가구 소득, 낮은 교육 수준, 기초생활수급상태, 최장일자리의 성격이 건강 관련 실업과 연관되었다.
결론
고령과 낮은 사회경제적 지위는 건강 관련 실업의 위험을 증가시킬 수 있으며, 이는 연령 차별 및 사회경제적 불평등을 시사한다. 따라서 건강 관련 실업 위험을 완화하기 위해서는 이러한 차별을 해소하기 위한 적극적인 관리 방안이 필요하다.
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Research Article
The Relationship between Injury and Socioeconomic Status in Reference to the Fourth Korean National Health and Nutrition Examination Survey
Sung-Kyung Kim, Hyocher Kim, Kyungsuk Lee, Hee-Tae Kang, Sung-Soo Oh, Sang Baek Ko
Ann Occup Environ Med 2014;26:1-1.   Published online January 3, 2014
DOI: https://doi.org/10.1186/2052-4374-26-1
AbstractAbstract PDFPubReaderePub
Objectives

This study aims to investigate the relationship between the total injury experience rate and socioeconomic status based on the fourth Korea National Health and Nutrition Examination Survey (KNHANES).

Methods

By analyzing data from the fourth KNHANES conducted from 2007 to 2009, we estimated the injury experience rate according to socioeconomic status, including the occupational characteristics of 11,837 subjects. Setting the injury experience rate as a dependent variable and socioeconomic status as an independent variable, we performed logistic regression to calculate odds ratios reflecting the likelihood of injury according to socioeconomic status while controlling for relevant covariates.

Results

In 797 subjects who had injury experience over the past 1 year, 290 persons (36.4%) had a work-related injury. As their income, home value, and educational status increased, their injury experiences decreased. Among occupational groups, the craft, equipment, machine operating, and assembling workers showed the highest rate (10.6%) of injury experience, and the lowest rate (5.7%) was found in the unemployed group. After adjusting for the confounding variables, the experience of injury was significantly related to several socioeconomic factors: high income (OR = 0.54; 95% CI: 0.34-0.86), high home value (OR = 0.65; 95% CI: 0.43-0.96), low education status (OR = 1.28; 95% CI: 1.07-1.52), and specific occupations such as craft, equipment, machine operating, and assembling work (OR = 1.99; 95% CI: 1.60-2.47), skilled agriculture, forestry and fishery work (OR = 1.43; 95% CI: 1.02-2.01), and simple labor (OR = 1.38; 95% CI: 1.04-1.82).

Conclusions

The injury experience rate differed depending on the socioeconomic status. A negative correlation was found between the injury experience rate and income, low home value, and education level. Moreover, a higher rate of injury experience was found in occupation groups and physical worker groups in comparison to the unemployed group and white-collar worker groups. This study would be useful in selecting appropriate priorities for injury management in Korea.


Citations

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Original Article
Suicide Trend of Standardized Mortality Ratio and Age Standardized Proportion Mortality Ratio According to Occupational Groups in Korea: 1993-2007
Jin Ha Yoon, Ki Hyun Lee, Kyu Yeon Hahn, Sei Jin Chang, Bong Suk Cha, Seong Ho Min, Kyung Suk Lee, Hye Seon Chae, Aeyong Eom, Sang Baek Koh
Korean Journal of Occupational and Environmental Medicine 2011;23(2):173-182.   Published online June 30, 2011
DOI: https://doi.org/10.35371/kjoem.2011.23.2.173
AbstractAbstract PDF
OBJECTIVES
A number of studies on the trends of socioeconomic differences in suicide mortality have indicated that these inequality gaps have widened over time and highlight that certain occupations have more suicide risk than others. However suicide rates according to occupation based socioeconomic position have not been frequently studied in Korea. The purpose of this study is to report trends and inequality of suicide according to occupation based social class during 1993-2007 in Korea and to identify occupations with significantly high standardized mortality ratios (SMRs) and proportional mortality ratios (PMRs) for both men and women.
METHODS
Korean census records for the years 1995, 2000, and 2005 were linked with the cause of death records from Korean National Statistical Office (KNSO) for the periods 1993-1997, 1998-2003, and 2004-2007 respectively. This data was used to calculate age adjusted proportional mortality ratios (PMRs) and standardized mortality ratios (SMRs) for both men and women aged 25~54 years according to five occupation based socioeconomic positions.
RESULTS
Among men, the agricultural-fishery-forestry group had the greatest suicide rate (SMR: 341) with a high PMR (113) and the manual labor group showed the highest PMR (118), while the managers-professional occupation group showed the lowest sPMR (78) and SMR (21). Among women, the agricultural-fishery group had the highest score in SMR (316) and PMR (130), and the technical-artificer group showed the lowest sPMR (71) and SMR (27). The inequality gaps in the suicide mortality rate according to occupation had widened during 1998-2002, but showed a recovery trend plot after 2003.
CONCLUSIONS
Although the occupation based socioeconomic inequalities show a recovery trend after 2003, the excess inequality from suicide remains as high as it was prior to the 2002 year in some occupational groups. The results of the current study indicate that the manual and agricultural-fishery-forestry groups were high risk groups of suicide.

Citations

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