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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.12
- 수록면
- 10 - 24 (15page)
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초록· 키워드
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Background: Discrimination is a representative social determinant of health. Presenteeism is defined as presenting to work despite of illness and is an indicator of group health. We investigated the association of discrimination and presenteeism with cardiovascular disease using Korean data.
Methods: This study used the fourth Korea Working Conditions Survey (2014) data of 27,662 wage workers (employees). Presenteeism and discrimination related to age, sex, education, birth region, and employment type were ascertained. Self-reported cardiovascular disease was also assessed using the survey questionnaire. General and occupational characteristics found to be significant in univariate analyses were entered into a multivariate logistic regression analysis of the association of discrimination and presenteeism with cardiovascular disease. We also calculated the odds ratios of multiple discriminations and/or presenteeism for cardiovascular disease.
Results: In the univariate analyses, sex, age, education, monthly income, employment type, occupation, hours worked per week, workplace scale, and shift work were significantly associated with cardiovascular disease. A multivariate logistic regression analysis adjusted for general and occupational characteristics showed that discrimination and presenteeism were significantly associated with cardiovascular disease. Finally, the association with cardiovascular disease was strongest when both multiple discriminations and presenteeism were present.
Conclusions: Discrimination and presenteeism are associated with cardiovascular disease, and this association was stronger in the presence of multiple types of discrimination and presenteeism.
Methods: This study used the fourth Korea Working Conditions Survey (2014) data of 27,662 wage workers (employees). Presenteeism and discrimination related to age, sex, education, birth region, and employment type were ascertained. Self-reported cardiovascular disease was also assessed using the survey questionnaire. General and occupational characteristics found to be significant in univariate analyses were entered into a multivariate logistic regression analysis of the association of discrimination and presenteeism with cardiovascular disease. We also calculated the odds ratios of multiple discriminations and/or presenteeism for cardiovascular disease.
Results: In the univariate analyses, sex, age, education, monthly income, employment type, occupation, hours worked per week, workplace scale, and shift work were significantly associated with cardiovascular disease. A multivariate logistic regression analysis adjusted for general and occupational characteristics showed that discrimination and presenteeism were significantly associated with cardiovascular disease. Finally, the association with cardiovascular disease was strongest when both multiple discriminations and presenteeism were present.
Conclusions: Discrimination and presenteeism are associated with cardiovascular disease, and this association was stronger in the presence of multiple types of discrimination and presenteeism.
목차
ABSTRACT
BACKGROUND
METHODS
RESULTS
DISCUSSION
CONCLUSIONS
REFERENCES
참고문헌 (38)
참고문헌 신청
손인서 / 2015 / 한국의 차별경험과 건강 연구에 대한 체계적 문헌고찰 / 보건사회연구 35(1):26~57
Discrimination form Doosan Encyclopedia
Krieger N / 1999 / Embodying inequality: a review of concepts, measures, and methods for studying health consequences of discrimination / Int J Health Serv 29(2):295~352
Wasserman D / 1997 / Encyclopedia of Applied Ethics / Academic Press :815~828
Cha JC / 2004 / The concept, status and cause of discrimination / Health Welf Policy Forum :6~20
Discrimination form Doosan Encyclopedia
Krieger N / 1999 / Embodying inequality: a review of concepts, measures, and methods for studying health consequences of discrimination / Int J Health Serv 29(2):295~352
Wasserman D / 1997 / Encyclopedia of Applied Ethics / Academic Press :815~828
Cha JC / 2004 / The concept, status and cause of discrimination / Health Welf Policy Forum :6~20
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