Ethnic discrimination, asking for fair treatment, and poor self-rated health: a gender stratified analysis of 13,443 Korean Chinese waged workers in South Korea.

BACKGROUND: In South Korea, Korean Chinese workers experience ethnic discrimination although they share physical similarities and ethnic heritage with native-born Koreans. This study aimed to examine whether perceived ethnic discrimination is associated with poor self-rated health and whether the association differs by gender among Korean Chinese waged workers in South Korea. METHODS: We conducted a pooled cross-sectional analysis using data of 13,443 Korean Chinese waged workers from the Survey on Immigrants' Living Conditions and Labor Force conducted in 2018, 2020, and 2022. Based on perceived ethnic discrimination, asking for fair treatment, and subsequent situational improvement, respondents were classified into the following four groups: "Not experienced," "Experienced, not asked for fair treatment," "Experienced, asked for fair treatment, not improved," and "Experienced, asked for fair treatment, improved." Poor self-rated health was assessed using a single question "How is your current overall health?" We applied logistic regression to examine the association between perceived ethnic discrimination and poor self-rated health, with gender-stratified analyses. RESULTS: We found an association between ethnic discrimination and poor self-rated health among Korean Chinese waged workers. In the gender-stratified analysis, the "Experienced, not asked for fair treatment" group was more likely to report poor self-rated health compared to the "Not experienced" group, regardless of gender. However, gender differences were observed in the group stratified by situational improvements. For male workers, no statistically significant association was found in the "Experienced, asked for fair treatment, improved" group with poor self-rated health (odd ratios: 0.87, 95% confidence intervals: 0.30-2.53). Conversely, among female workers, a statistically significant association was observed (odd ratios: 2.63, 95% confidence intervals: 1.29-5.38). CONCLUSIONS: This study is the first to find an association between perceived ethnic discrimination and poor self-rated health, along with gender differences in the association between situational improvements after asking for fair treatment and poor self-rated health among Korean Chinese waged workers in South Korea.

Female workers with long working hours are more likely to have depressive symptoms when having family-to-work conflict.

PURPOSE: Workers' health can be influenced by risk factors from their family environments as well as their work environments. This paper sought to examine how the association between long working hours and depressive symptoms differs based on the level of FWC after being stratified by worker's gender. METHODS: We used the dataset of 20,384 full-time wage workers from the sixth Korean Working Conditions Survey (2020). Long working hours were defined as working 52 h or more per week. FWC was measured using a 2-item questionnaire, and depressive symptoms were measured using the WHO-5 well-being index. Applying modified Poisson regression, we evaluated how the association between long working hours and depressive symptoms differs by the level of FWC male and female workers separately. RESULTS: In the analysis of the female workers, long working hours were associated with depressive symptoms in the high FWC group (PR 1.35, 95% CI 1.17, 1.55) after adjusting for potential confounders whereas no association was observed in the low FWC group. Among the male workers, a statistically significant association was observed in both high FWC (PR 1.22, 95% CI 1.07, 1.38) and low FWC (PR 1.28, 95% CI 1.12, 1.47) groups. CONCLUSION: FWC may act as a workplace stressor that potentially amplifies the health impact of long working hours among female workers.