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Original Article
Factors Related to Perceived Life Satisfaction Among the Elderly in South Korea.
Minsoo Jung, Carles Muntaner, Mankyu Choi
J Prev Med Public Health. 2010;43(4):292-300.
DOI: https://doi.org/10.3961/jpmph.2010.43.4.292
  • 6,621 View
  • 100 Download
  • 25 Crossref
AbstractAbstract PDF
OBJECTIVES
This study attempted to explore the aging phenomena that now characterize much of Korean society, and assessed issues associated with the life satisfaction experienced during the process of aging. METHODS: By employing the National Survey on the State of Life and the Desire for Welfare of the Elderly, 2004 in South Korea this study attempted to identify the factors that determine subjective life satisfaction among the elderly. The data utilized herein consisted of 3278 elderly people aged 65 years or older, from 9308 households. RESULTS: The results of analysis from the final model after the introduction of 19 variables in 8 factors showed statistically similar explanatory power in men (adj. R2=0.320) and in women (adj. R2=0.346). We found that economic condition was the most influential factor in both men (B=0.278) and women (B=0.336) except perceived health condition variables. The second most influential variable in life satisfaction was health checkups in men (B=0.128) and degree of nutritional diet in women (B=0.145). Those who had experience with chronic diseases also reported significantly lower perceived life satisfaction and this was particularly true of women. CONCLUSIONS: The aging society requires an understanding of the lives of elderly individuals. This study explored factors associated with life satisfaction in old age by using a life satisfaction model. The success of an aging society begins with an accurate understanding of the elderly, and thus political attention will need to be focused on this matter.
Summary

Citations

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    Manik Halder, Jay Saha, Avijit Roy, Doli Roy, Pradip Chouhan
    Journal of Public Health.2024; 32(6): 1069.     CrossRef
  • Home- and Community-based Elderly Care and the Life Satisfaction of Chinese Elderly Individuals
    Aolong Liu, Yifan Ma, Kexin Qiu, Han Qiao, Huawei Zhao
    American Journal of Health Behavior.2024; 48(2): 116.     CrossRef
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    Rosa Estela García-Chanes, Mariana López-Ortega, Sara Torres-Castro
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    Chiedozie James Alumona, David R Scott, Adesola C Odole, Martins Nweke, Michael Kalu, Oluwaghohunmi Adetunji Awosoga
    BMJ Open.2024; 14(11): e088302.     CrossRef
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    Archives of Public Health.2024;[Epub]     CrossRef
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    Binayak Kandapan, Jalandhar Pradhan, Itishree Pradhan
    BMC Geriatrics.2023;[Epub]     CrossRef
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    Dongwook Cho, Wookwang Cheon
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    Mahadev Bramhankar, Sampurna Kundu, Mohit Pandey, Nand Lal Mishra, Adarsh Adarsh
    Scientific Reports.2023;[Epub]     CrossRef
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    Yong-Woo Lee
    Applied Research in Quality of Life.2022; 17(1): 277.     CrossRef
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    Lin Luo, Xiaojin Zeng, Xiangfei Wang
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    Habtamu Sewunet Mekonnen, Helena Lindgren, Biftu Geda, Telake Azale, Kerstin Erlandsson
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    Li-Hsing LIU, Chia-Chan KAO, Jeremy C. YING
    Journal of Nursing Research.2020; 28(4): e102.     CrossRef
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    F Bastani, P Beigi Boroujeni
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    Heejeong Choi, Boram Nam
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    Deulle Min, Eunhee Cho
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    Xinqi Dong, Mengting Li, Yingxiao Hua
    The Journals of Gerontology: Series A.2017; 72(suppl_1): S63.     CrossRef
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    Joanna Elfving-Hwang
    Journal of Aging Studies.2016; 38: 6.     CrossRef
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    Sydney X.X. Hu, Wai In Lei, Ka Kei Chao, Brian J. Hall, Siu Fung Chung
    International Journal of Nursing Sciences.2016; 3(4): 367.     CrossRef
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    Chengbo Li, Iris Chi, Xu Zhang, Zhaowen Cheng, Lei Zhang, Gong Chen
    Aging & Mental Health.2015; 19(10): 947.     CrossRef
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    Pallavi Banjare, Rinshu Dwivedi, Jalandhar Pradhan
    Health and Quality of Life Outcomes.2015;[Epub]     CrossRef
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    Eun-Kyoung Othelia Lee, Jungui Lee
    Educational Gerontology.2013; 39(7): 514.     CrossRef
  • Life satisfaction and mortality in elderly people: The Kangwha Cohort Study
    Heejin Kimm, Jae Woong Sull, Bayasgalan Gombojav, Sang-Wook Yi, Heechoul Ohrr
    BMC Public Health.2012;[Epub]     CrossRef
Research Support, Non-U.S. Gov't
Associations of Income and Wealth with Health Status in the Korean Elderly.
Bo Hyun Park, Minsoo Jung, Tae Jin Lee
J Prev Med Public Health. 2009;42(5):275-282.
DOI: https://doi.org/10.3961/jpmph.2009.42.5.275
  • 6,290 View
  • 81 Download
  • 21 Crossref
AbstractAbstract PDF
OBJECTIVES
This study aimed to verify the association between wealth or income level and health status after adjusting for other socio-economic position (SEP) indicators among Korean adults aged 45 and over. METHODS: Data were obtained from the 1st wave of Korean Longitudinal Study of Ageing (households: 6,171, persons: 10,254). We used self-rated health status and activities of daily living (ADLs) as dependent variables. Explanatory variables included both net wealth measured by savings, immovables, the other valuated assets and total income including pay, transfer, property and so on. Binary logistic regression was conducted to examine the relationships. Also, in order to determine the relative health inequality across economic groups, we estimated the relative index of inequality (RII). RESULTS: The inequality of health status was evident among various wealth and income groups. The wealthiest group (5th quintile) was much healthier than the poorest group, and this differential increased with age. Likewise, higher income was associated with better health status among the elderly. However, these effects, as measured by the odds ratio and RII, showed that wealth was more important in determining health status of elderly people. CONCLUSIONS: This study suggests that economic capability plays a significant role in determining the health status and other health-related problems among the elderly. Particularly, our results show that health status of the aged is related more closely to the individual's wealth than income.
Summary

Citations

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    Hang Li, Suzhen Liu, Luling Zhou
    Public Health Nursing.2024; 41(5): 951.     CrossRef
  • PERCEIVED INCOME ADEQUACY, FAMILY SUPPORT, FINANCIAL ANXIETY, AND TAX NON-COMPLIANCE OF INDONESIAN WORKING WOMEN DURING THE COVID-19 PANDEMIC
    Priandhita Sukowidyanti Asmoro
    Business: Theory and Practice.2023; 24(1): 123.     CrossRef
  • Household Wealth and Individuals’ Mental Health: Evidence from the 2012–2018 China Family Panel Survey
    Rui Zhang, Chenglei Zhang, Jiahui Xia, Dawei Feng, Shaoyong Wu
    International Journal of Environmental Research and Public Health.2022; 19(18): 11569.     CrossRef
  • Does financial literacy influence preventive health check-up behavior in Japan? a cross-sectional study
    Sumeet Lal, Trinh Xuan Thi Nguyen, Abdul-Salam Sulemana, Mostafa Saidur Rahim Khan, Yoshihiko Kadoya
    BMC Public Health.2022;[Epub]     CrossRef
  • Association of social determinants of health with frailty, cognitive impairment, and self-rated health among older adults
    Vanessa Tan, Cynthia Chen, Reshma Aziz Merchant, Alok Ranjan
    PLOS ONE.2022; 17(11): e0277290.     CrossRef
  • The effect of income, family and socio‐religious affiliations on self‐rated health of the aged in India
    Shashi Kant Srivastava, Ashish Rastogi
    Journal of Public Affairs.2021;[Epub]     CrossRef
  • Desigualdades sociales en salud en población mayor: revisión de los indicadores empleados en España
    Isabel Mosquera, Mónica Machón, Itziar Vergara, Isabel Larrañaga, Unai Martín
    Gaceta Sanitaria.2020; 34(3): 297.     CrossRef
  • Relationship between diet quality and sarcopenia in elderly Koreans: 2008–2011 Korea National Health and Nutrition Examination Survey
    Woori Na, Jiyu Kim, Bong Hee Chung, Dai-Ja Jang, Cheongmin Sohn
    Nutrition Research and Practice.2020; 14(4): 352.     CrossRef
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    Long Thanh Giang, Dat Van Duong, Yeop Jeong Kim
    Journal of Population Ageing.2019; 12(1): 95.     CrossRef
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    Lih-Shing Chan, Kee-Lee Chou
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    Yeong Jun Ju, Kyu‐Tae Han, Hyo Jung Lee, Joo Eun Lee, Jae Woo Choi, In Seon Hyun, Eun‐Cheol Park
    Geriatrics & Gerontology International.2017; 17(8): 1205.     CrossRef
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    FELICIA V. WHEATON, EILEEN M. CRIMMINS
    Ageing and Society.2016; 36(06): 1136.     CrossRef
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    Chia‐Lun Kuo, I.‐Chia Chien, Ching‐Heng Lin
    Asia-Pacific Psychiatry.2016; 8(4): 278.     CrossRef
  • Does relationship satisfaction and financial aid from offspring influence the quality of life of older parents?: a longitudinal study based on findings from the Korean longitudinal study of aging, 2006–2012
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    Health and Quality of Life Outcomes.2016;[Epub]     CrossRef
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    Journal of Preventive Medicine and Public Health.2014; 47(2): 104.     CrossRef
  • How do life-course trajectories of socioeconomic position affect quality of life in patients with diabetes mellitus?
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    Ageing and Society.2012; 32(1): 41.     CrossRef
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  • Does Socioeconomic Inequality in Health Persist among Older People Living in Resource-Poor Urban Slums?
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Review
Health Inequalities in Korea: Current Conditions and Implications.
Yu Mi Kim, Myoung Hee Kim
J Prev Med Public Health. 2007;40(6):431-438.
DOI: https://doi.org/10.3961/jpmph.2007.40.6.431
  • 6,378 View
  • 165 Download
  • 25 Crossref
AbstractAbstract PDF
OBJECTIVES
The aim of this study is to summarize the current conditions and implications of health inequalities in South Korea. METHODS: Through a literature review of empirical studies and supplementary analysis of the data presented in the 1998, 2001, and 2005 KNHANEs, we evaluated the extent and trends of socioeconomic inequalities in both health risk factors, such as smoking, physical activity, and obesity, and outcomes, such as total mortality, subjective poor health status by self-reports and metabolic syndrome. Relative risks and odds ratios were used to measure differences across socioeconomic groups, and the relative index of inequality was used to evaluate the changes in inequalities over time. RESULTS: We found clear inequalities to various degrees in most health indicators. While little change was observed in mortality differences over time, the socioeconomic gaps in risk factors and morbidity have been widening, with much larger differences among the younger population. CONCLUSIONS: Socioeconomic inequalities are pervasive across various health indicators, and some of them are increasing. The trends in socioeconomic inequalities in health should be carefully monitored, and comprehensive measures to alleviate health inequalities are needed, especially for young populations.
Summary

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  • Effect of socioeconomic deprivation on outcomes of diabetes complications in patients with type 2 diabetes mellitus: a nationwide population-based cohort study of South Korea
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    BMJ Open Diabetes Research & Care.2020; 8(1): e000729.     CrossRef
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    Jungun Lee
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English Abstracts
Socioeconomic Mortality Inequality in Korea: Mortality Follow-up of the 1998 National Health and Nutrition Examination Survey(NHANES) Data.
Young Ho Khang, Hye Ryun Kim
J Prev Med Public Health. 2006;39(2):115-122.
  • 3,132 View
  • 76 Download
AbstractAbstract PDF
OBJECTIVES
This study was conducted to examine the relationships of the several socioeconomic position indicators with the mortality risk in a representative longitudinal study of South Korea. METHODS: The 1998 National Health and Nutrition Examination Survey was conducted on a cross-sectional probability sample of South Korean households, and it contained unique 13-digit personal identification numbers that were linked to the data on mortality from the National Statistical Office of Korea. Of 5,607 males and females, 264 died between 1999 and 2003. Cox's regression was used to estimate the relative risks (RR) and their 95% confidence intervals (CI) of mortality. RESULTS: Socioeconomic differences in mortality were observed after adjustments were made for gender and age. Compared with those people having college or higher education, those people without any formal education had a greater mortality risk (RR=2.21, 95% CI=1.12-4.40). The mortality risk among manual workers was significantly greater than that for the non-manual workers (RR=2.73, 95% CI=1.47-5.06). A non-standard employment status was also associated with an increase in mortality: temporary or daily workers had a greater mortality risk than did the full-time workers (RR=3.01, 95% CI=1.50-6.03). The mortality risk for the low occupational class was 3.06 times greater than that of the high and middle occupational classes (95% CI=1.75-5.36). In addition, graded mortality differences according to equivalized monthly household income were found. A reduction of monthly household income by 500 thousand Korean Won (about 400 US dollars) was related with a 20% excess risk of mortality. Self-reported poor living standards were also associated with an increased risk of mortality. Those without health insurance had a 3.63 times greater risk of mortality than the insured (95% CI=1.61-8.19). CONCLUSIONS: This study showed the socioeconomic differentials in mortality in a national longitudinal study of South Korea. The existence of socioeconomic mortality inequalities requires increased social discussion on social policies in Korean society. Furthermore, the mechanisms for the socioeconomic inequalities of mortality need to be explored in future studies.
Summary
Socioeconomic Differentials in Health and Health Related Behaviors: Findings from the Korea Youth Panel Survey.
Young Ho Khang, Sung Il Cho, Seungmi Yang, Moo Song Lee
J Prev Med Public Health. 2005;38(4):391-400.
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  • 79 Download
AbstractAbstract PDF
OBJECTIVE
This study examined the socioeconomic differentials for the health and health related behaviors among South Korean middle school students. METHODS: A nationwide cross-sectional interview survey of 3, 449 middle school second-grade students and their parents was conducted using a stratified multi-stage cluster sampling method. The response rate was 93.3%. The socioeconomic position indicators were based on selfreported information from the students and their parents: parental education, father's occupational class, monthly family income, out-of-pocket expenditure for education, housing ownership, educational expectations, educational performance and the perceived economic hardships. The outcome variables that were measured were also based on the self-reported information from the students. The health measures included self-rated health conditions, psychological or mental problems, the feelings of loneliness at school, the overall satisfaction of life and the perceived level of stress. The health related behaviors included were smoking, alcohol drinking, sexual intercourse, violence, bullying and verbal and physical abuse by parents. RESULTS: Socioeconomic differences for the health and health related behaviors were found among the eighth grade boys and girls of South Korea. However, the pattern varied with gender, the socioeconomic position indicators and the outcome measures. The prevalence rates of the overall dissatisfaction with life for both genders differed according to most of the eight socioeconomic position indicators. All the health measures were significantly different according to the perceived economic hardship. However, the socioeconomic differences in the self-rated health conditions and the psychosocial or mental problems were not clear. The students having higher socioeconomic position tended to be a perpetrator of bullying while those students with lower socioeconomic position were more likely to be a victim. CONCLUSIONS: The perceived economic hardships predicted the health status among the eighth graders of South Korea. The overall satisfaction of life was associated with the socioeconomic position indicators. Further research efforts are needed to explore the mechanisms on how and why the socioeconomic position affects the health and health related behaviors in this age group.
Summary
JPMPH : Journal of Preventive Medicine and Public Health
© Korean Society for Preventive Medicine.
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