The Effect of Drinking and Smoking on Life Satisfaction in the Baby Boom Generation : Focusing on the Mediating Effect of Family Relationship Satisfaction

2014 ◽  
Vol 15 (1) ◽  
pp. 65-76 ◽  
Author(s):  
Hyoun-Joo Oh ◽  
◽  
Hae-Mee Seo
2019 ◽  
Vol 91 (1) ◽  
pp. 37-59 ◽  
Author(s):  
Sang-Woo Lee ◽  
Jae-Sung Choi ◽  
Minhong Lee

This study aimed to analyze the effect of individual differences and family variables on life satisfaction and depression in the oldest old compared with the young-old. A total of 1,799 cases from an 8-year period of the Korean Welfare Panel Study (2006–2013) were analyzed. A key finding was that life satisfaction significantly increased with time for the two groups of older adults while depression decreased. Moreover, family relationship satisfaction significantly affected both life satisfaction and depression in both groups. However, its impact was stronger for the oldest old. Finally, individual difference variables, that is, objective life conditions, such as gender, education, and religion, did not have a significant impact on life satisfaction or depression in the oldest old. The results suggest that the oldest old not only face death but also experience continuous growth from a gerotranscendence perspective.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 694-695
Author(s):  
Meeryoung Kim

Abstract For older adults wanting to maintain good health and stay active after retirement, volunteering is an important activity. Social capital is important factor for volunteering. Social support as a social capital, is a contributing factor that is important and needed by older adults who volunteer. Also as a result from volunteering, older adults can increase their social support through volunteering. This study examined whether emotional and instrumental social support mediate volunteering on both relational and life satisfaction. This study used the 6th additional wave of the Korean Retirement and Income Study (2016). Subjects for this study are over 60 years old and the sample size is 280. For data analysis Baron and Kenny's triangular regression analysis and the Sobel test were used for data analysis. Demographic variables were controlled. Volunteer variables such as volunteering asked by others or self-motivated, whether only one type of volunteering or more, professional volunteering, and volunteer hours were used as independent variables. Emotional and instrumental social support were used as mediators. Relationship satisfaction and life satisfaction variables were used as dependent variables. Emotional and instrumental support partially mediate volunteering asked by others to influence relational and life satisfaction. In addition, emotional support and instrumental support mediate “more than one kind of volunteering” to influence relationship satisfaction. As such, emotional and instrumental support through volunteering has a mediating effect on relationship satisfaction and life satisfaction.


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