중⋅고령자의 노동시장 내 다중차별 경험이 직무소진에 미치는 영향: 잠재계층분석(Latent Class Analysis)을 통한 집단별 유형화를 중심으로

다국어 초록 (Multilingual Abstract)

This study aimed to examine the relationship between multiple forms of discrimination and job burnout experienced by older workers (aged 50 years and over) in South Korea. Data from 624 workers aged 50 years and older, drawn from the 2020 Korean Working Conditions Survey (KWCS), were used. To classify the types of multiple discrimination experienced by these workers, a Latent Class Analysis (LCA) was conducted using variables such as discrimination due to age, gender, disability, sexual orientation, education, region of origin, and employment type. Subsequently, the association between the identified types of discrimination and job burnout was analyzed. Five subtypes of discrimination were identified using LCA: “age discrimination”(41.8%), “employment type discrimination”(22.8%), “structural discrimination”(21.2%), “minority identity discrimination”(10.7%), and “multiple discrimination” (3.5%). Examining the relationship between these discrimination types and job burnout revealed that the “multiple discrimination” group experienced significantly higher levels of job burnout compared to the “age discrimination,” “employment type discrimination,” and “minority identity discrimination” groups. However, there was no significant difference in job burnout levels between the “structural discrimination” and “multiple discrimination” groups. These results provide insights for reducing discrimination against older workers and preventing job burnout.