Factors Associated with Depression among Working-Age Household Heads in Korea: A Cross-Sectional Household Study
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Background: Depression is a mental disorder common worldwide. This study determined the relationships between demographics, health status, household parameters, and depression rates among working-age household heads. Methods: We analyzed data from the Korea Welfare Panel Study Survey conducted in 2020. The 11-item version of the Center for Epidemiologic Studies Depression Scale was used to assess depression. Bivariate analyses and a multiple logistic regression model were used to evaluate the influence of these factors on depression among household heads. Results: The overall prevalence of depression among working-age household heads was 11.69% (19.83% of females and 9.58% of males). The relative risk of depression was 1.71 times higher among the unemployed than among wage earners and 2.18 times higher among those with low income than among those with general income. The relative risk of depression was 3.23 times higher in those with poor health status than in those with good health, and 2.45 times more in those with severe disabilities than in those without disabilities. The rate of depression decreased with education level, number of family members, and presence of children but increased with the presence of the disabled or elderly. Conclusion: This study provides a comprehensive overview of depression among working-age household heads and identifies factors strongly associated with depression. These findings may have implications for policymakers to reduce the burden on and improve the quality of life of household heads.
Abstract
Background: Depression is a mental disorder common worldwide. This study determined the relationships between demographics, health status, household parameters, and depression rates among working-age household heads. Methods: We analyzed data from the Korea Welfare Panel Study Survey conducted in 2020. The 11-item version of the Center for Epidemiologic Studies Depression Scale was used to assess depression. Bivariate analyses and a multiple logistic regression model were used to evaluate the influence of these factors on depression among household heads. Results: The overall prevalence of depression among working-age household heads was 11.69% (19.83% of females and 9.58% of males). The relative risk of depression was 1.71 times higher among the unemployed than among wage earners and 2.18 times higher among those with low income than among those with general income. The relative risk of depression was 3.23 times higher in those with poor health status than in those with good health, and 2.45 times more in those with severe disabilities than in those without disabilities. The rate of depression decreased with education level, number of family members, and presence of children but increased with the presence of the disabled or elderly. Conclusion: This study provides a comprehensive overview of depression among working-age household heads and identifies factors strongly associated with depression. These findings may have implications for policymakers to reduce the burden on and improve the quality of life of household heads.
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