Health Inequalities among the Elderly : Mediation Effect of Social Participation Between Educational Level Inequalities and Self-rated Health·Depression

This study explored the contribution of social support resources to the explanation of socioeconomic inequalities in depressive symptoms of older Korean men and women. Methods: Data were derived from Living Profiles of Older People Survey (LPOPS), which comprises a nationally representative sample of non-institutionalized Korean older adults living in the community. The data were analyzed by using multiple logistic regression. The sample consisted of 4,046 men and 6,036 women aged ≥65 years. The Korean version of the Geriatric Depression Scale-Short form (SGDS-K) was employed as an outcome variable. Results: Compared to the older men and women who were in higher socioeconomic status, those in lower socioeconomic status had significantly higher risk of depressive symptoms after adjusting for other covariates. When social support resources were individually included in the base model, each factor contributed to inequalities in depressive symptoms. Social networks explained about 20% of the differential impact of education and 10% to 15% of the differential impact of household income for depressive symptoms in men. Among women, it mitigated 23.6% to 39.0% of education and household income inequalities for depressive symptoms. Social participation contributed to buffer depressive symptom inequalities of 24.0% to 46.3% among men and those of 11.7% to 45.3% among women. Conclusion: Our findings suggest community care nurses acknowledge the value of social support resources to alleviate socioeconomic inequality in depressive symptoms among older men and women.

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Factors Influencing Health-Related Quality of Life in the Korean Seniors with Lower Education Level: Focusing on Physical Activity Types

최

이

2020

Korean J Adult Nurs

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This study examined physical activity and health-related factors affecting Health-Related Quality of Life (HRQoL) in older adults with lower educational levels. Methods: Data were obtained from the Seventh Korea National Health and Nutrition Examination Survey (Ⅶ-1, 2016; Ⅶ-2, 2017). The sample consisted of 2,985 individuals aged 65 years or older, and the focus was on 1,788 older adults with low educational levels. The data were analyzed using an independent t-test, x 2 test, and hierarchical multiple linear regression using the SPSS/WIN 24.0 program. Results: The results of the hierarchical multiple regression analysis showed that subjective perceived health, cognitive stress, number of chronic diseases, and daily activity explained 25% of the variance in HRQoL after controlling for age and gender. In final model, physical activity types explained an additional 1% of the variance in HRQoL; walking was a significant predictor. Especially, among the various physical activity types, walking proved important for HRQoL. While aerobic exercise and strength exercise were associated with health status, in the hierarchical multiple regression analysis, they did not have an impact on HRQoL. Conclusion: A walking-centric health care program to improve physical activity should be considered for HRQoL improvement in older adults with lower educational levels. Further research should consider how aerobic exercise and strength exercise could contribute to HRQoL improvement in this population.

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Health Inequalities among the Elderly : Mediation Effect of Social Participation Between Educational Level Inequalities and Self-rated Health·Depression

Cited by 4 publications

References 26 publications

Different roles of social participation in socioeconomic disparities in depressive symptoms of Koreans across age groups

Different roles of social participation in socioeconomic disparities in depressive symptoms of Koreans across age groups

Socioeconomic Inequalities in Depressive Symptoms among Korean Older Men and Women: Contribution of Social Support Resources

Factors Influencing Health-Related Quality of Life in the Korean Seniors with Lower Education Level: Focusing on Physical Activity Types

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