A Comparative Study on the Factors Affecting the Life Satisfaction of Married Middle-aged Women in Korea and China: Focused on Individual and Family Variables

2021 ◽  
Vol 26 (3) ◽  
pp. 33-56
Author(s):  
SHUYAO Hu ◽  
Kyeong Shin Kim
Author(s):  
Sanghee Kim

Background & Aim: Life after middle age accounts for almost half of the life cycle, along with global increases in life expectancy; it is important to manage the life satisfaction of middle-aged women as they transition from adulthood to old age. This study sought to investigate the life satisfaction of middle-aged women and identify the factors affecting them in various ways. Methods & Materials: As secondary research, sample data were sourced from the 2016 Korean Longitudinal Study of Aging -sixth wave of KLoSA- by the Ministry of Employment and Labor and the Korean Employment Information Service in Korea. Results: Factors affecting the life satisfaction of middle-aged women include individual factors such as religion, household income, marriage, and educational background (all p<.05); health-related factors such as depression and smoking; family-related factors such as frequent contact with nonresident children; and socio-cultural factors such as leisure activity or trips (all p<.05). Conclusion: The life satisfaction and influencing factors for middle-aged women identified in this study should be used as a basis for successful and healthy aging preparation in women’s health policy.


Author(s):  
Ah-Ram Kim ◽  
Jin-Hyuck Park ◽  
Hae-Yean Park

Objective: This study aimed to analyze the factors affecting depression among South Korean middle-aged and older adults using data from the Korean Longitudinal Study of Aging. Methods: We analyzed data regarding demographic characteristics, lifestyle, quality of life, cognitive level, and depression. Cognitive level and depression were evaluated using the Korean-Mini-Mental Status Examination and Center for Epidemiological Studies Depression Scale, respectively. Results: Depression was correlated with age, gender, residential area, level of education, alcohol intake, regular exercise, life satisfaction, and cognitive level, but not smoking. Furthermore, depression was highly affected by age, residential area, regular exercise, life satisfaction, and cognitive level, with a prediction accuracy of 80.26% achieved through machine learning analysis. Conclusions: Various factors are associated with depression in middle-aged and older adults. Therefore, multifaceted interventions for preventing depression in these age groups are required.


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