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Lifshitz R, Bachner YG, Carmel S. Older adults' attitudes toward using Euthanasia at the end-of life: cancer vs. Parkinson's disease. Front Public Health 2024; 12:1393535. [PMID: 38947343 PMCID: PMC11211612 DOI: 10.3389/fpubh.2024.1393535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 05/27/2024] [Indexed: 07/02/2024] Open
Abstract
Background There is a paucity of studies that compare older adults' attitudes toward Euthanasia in two different terminal illnesses. Moreover, these studies did not relate to potentially influencing psycho-social factors. The current study aimed to examine the impact of a diverse range of variables on attitudes among older adults toward Euthanasia in two medical conditions: cancer and Parkinson's disease. Methods A total of 501 individuals aged 75 and above participated in the study. Attitudes toward Euthanasia were measured using vignettes which described two conditions: an 80-year-old man with metastatic cancer and another man in an advanced stage of Parkinson's disease. The questionnaire included measures of relevant experience (with a close family member or a friend dying from a terminal illness), self-efficacy, will to live, satisfaction with life, will to prolong life, fear of death and dying, social support, and psycho-social characteristics. The data were analyzed using hierarchical linear regression models. Results A more positive attitude toward Euthanasia was found in the case of cancer compared to Parkinson's disease. Being a woman, having more years of education, lower level of religiosity, greater fear of death and dying and higher self-efficacy contributes to more favorable attitudes toward Euthanasia in both end-of life conditions. Conclusions The finding that attitudes toward Euthanasia are statistically significantly more positive in the case of cancer compared to Parkinson's disease can be attributed to the greater prevalence of cancer in the population, and to the public's awareness of the suffering associated with each of these medical conditions. Beyond the important role of the socio-demographic characteristics of gender, education, and religiosity, it appears that fear of death and dying and self-efficacy are important psychological factors in explaining attitudes toward Euthanasia in both illnesses among older people. These findings shed light on older adults' attitudes toward Euthanasia in debilitating illnesses.
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Affiliation(s)
- Rinat Lifshitz
- Community Gerontology, The Max Stern Academic College of Emek Yezreel, Emek Yezreel, Israel
| | - Yaacov G. Bachner
- Program in Gerontology, Department of Epidemiology, Biostatistics and Community Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Sara Carmel
- Program in Gerontology, Department of Epidemiology, Biostatistics and Community Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel
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Kim A, Kim Y, Rhee J, Lee S, Jeong Y, Lee J, Yoo Y, Kim H, So H, Park J. A Study on Emotions to Improve the Quality of Life of South Korean Senior Patients Residing in Convalescent Hospitals. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14480. [PMID: 36361370 PMCID: PMC9654472 DOI: 10.3390/ijerph192114480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 11/01/2022] [Accepted: 11/02/2022] [Indexed: 06/16/2023]
Abstract
This study examined the occurrence of emotion types and the contents and meanings of individual emotion types to improve the quality of life of South Korean senior patients in convalescent hospitals. This research is a sequential mixed study in which we conducted emotion frequency and content analyses with 20 elderly resident patients in a convalescent hospital. In the emotion frequency analysis, we performed emotion occurrence frequency analysis and clustering to create groups of subjects that showed similar distributions of emotions. The study results found that South Korean senior patients displayed six major emotions: joy, sorrow, anger, surprise, fear, and tranquility, including mixed emotional states. In the emotion content analysis, we used NVivo to categorize and analyze the interview contents based on emotion types. The study results show the characteristics of emotions according to patients' treatment and recovery, life within narrow boundaries, relationships with new people and family, and the appearances of themselves that they could not easily but must accept. In addition, these characteristics appeared in health, environment, relationships, and psychological structures. Ultimately, the study results suggest that improving the quality of life of South Korean senior patients requires understanding of their emotions and examining diverse emotions in multiple dimensions.
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Affiliation(s)
- Aeju Kim
- Department of English Language and Literature, Dongguk University-Seoul, 30, Pildong-ro 1 gil, Jung-gu, Seoul 04620, Korea
| | - Yucheon Kim
- Department of Counseling and Coaching, Dongguk University-Seoul, 30, Pildong-ro 1 gil, Jung-gu, Seoul 04620, Korea
| | - Jongtae Rhee
- Department of Industrial and Systems Engineering, Dongguk University-Seoul, 30, Pildong-ro 1 gil, Jung-gu, Seoul 04620, Korea
| | - Songyi Lee
- Department of Counseling and Coaching, Dongguk University-Seoul, 30, Pildong-ro 1 gil, Jung-gu, Seoul 04620, Korea
| | - Youngil Jeong
- Dharma College, Dongguk University-Seoul, 30, Pildong-ro 1 gil, Jung-gu, Seoul 04620, Korea
| | - Jeongeun Lee
- Department of Counseling and Coaching, Dongguk University-Seoul, 30, Pildong-ro 1 gil, Jung-gu, Seoul 04620, Korea
| | - Youngeun Yoo
- Department of Agricultural, Wonkwang University-Iksan, 460, Iksan-daero, Iksan 54538, Korea
| | - Haechan Kim
- SNA-DDI, 97, Uisadandg-daero, Yeongdeungpo-gu, Seoul 07327, Korea
| | - Hyeonji So
- Interdisciplinary Program in Artificial Intelligence, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
| | - Junhyeong Park
- Department of Industrial and Systems Engineering, Dongguk University-Seoul, 30, Pildong-ro 1 gil, Jung-gu, Seoul 04620, Korea
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