The association between effort-reward imbalance, work-life balance and depressive mood in Korean wage workers: The 4th Korean Working Conditions Survey

Autor: Ho Yeon Kim, Yun-Chul Hong, Hyun Mook Lim, Cham Jin Park, Ji-Hoo Yook, Min-Seok Kim
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Annals of Occupational and Environmental Medicine
ISSN: 2052-4374
Popis: Background This study was conducted to determine the association between work-life (WL) balance, effort-reward (ER) imbalance, and depressive mood in Korean wage workers when 2 models were considered simultaneously. Methods We analyzed 26,014 Korean workers including 13,471 men and 12,543 women from the 4th Korean Working Conditions Survey data. Multiple logistic regression was used to analyze the association between WL, ER status, and the depressive mood of Korean workers. We classified the subjects into a total of 4 groups as follows. Group 1: WL and ER status are both "balanced", group 2: WL status is "imbalanced" and ER status is "balanced", group 3: WL status is "balanced" and the ER status is "imbalanced", group 4: WL and ER status are both "imbalanced." Results We found significantly increased odds ratios (ORs) for depressive mood in groups 2, 3, and 4 compared with group 1 after adjusting for the general and occupational characteristics of the subjects in both men and women. We also found that the trend of ORs increased gradually from groups 2 to 4 compared with group 1 in both men and women; group 2: OR: 1.23 (95% confidence interval [CI]: 1.12-1.35), group 3: OR: 1.40 (95% CI: 1.27-1.55), group 4: OR: 1.99 (95% CI: 1.74-2.28) compared with group 1 in men; group 2: OR: 1.28 (95% CI: 1.15-1.42), group 3: OR: 1.45 (95% CI: 1.31-1.59), group 4: OR: 2.04 (95% CI: 1.76-2.36) compared with group 1 in women. Conclusions As a result, we found the association between imbalanced WL, ER status, and depressive mood in Korean workers using 2 models simultaneously. It is important to provide a balanced WL and ER condition to improve the mental health of workers.
Databáze: OpenAIRE