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Cited by 14Retirement, Disability, and EmploymentAging and Gerontology ResearchNursing education and management

The DOI matches its Crossref record, with a small difference in title or year; 29 of the 29 references it cites were found in a registry or an index.

Factors Influencing Ageism in General Hospital Nurses

Open access
Kim, Juah, Ha, Jiyeon·2019·Journal of Korean Academy of Nursing Administration
DOI 10.11111/jkana.2019.25.5.393
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Abstract

Purpose: This study was done to identify the factors involved in ageism in nurses. Methods: The participants in this study were 178 general hospital nurses. Data were collected in March 2019 using self-report questionnaires, and were analyzed using descriptive statistics, independent t-test, Mann-Whitney U test, one-way ANOVA, Kruskal-Wallis test, and stepwise multiple linear regression. Results: The total score for ageism was 39.75±5.44 out of a maximum of 72. Ageism had a statistically significant relationship with contact experience (r=-.47, p<.001), attitude (r=.40 p<.001), and aging anxiety (r=.35 p<.001). The determining factors affecting ageism were contact experience (β=-.45, p<.001), attitude(β=.20, p=.002), work place (β=.22, p<.001), marital status (β=.21, p<.001), geriatric nursing preference (β=.18, p=.006), geriatric education (β=.17, p=.006), and aging anxiety (β=.14, p=.041). The explanation power of these variables was 39%. Conclusion: The results suggest that contact experience with elders had the largest influence on ageism in nurses. Therefore, it is necessary to develop tailored education programs by hospital type to increase positive contact experience and promote understanding of older patients in acute care settings. Furthermore, the importance of the perception of ageism needs to be highlighted in nursing education and continuing education for nurses.

Overview

Integrity signals

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Crossref · 10.11111/jkana.2019.25.5.393

Cites

29 of 29 references verified0 citation errors · 0 not checkable

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Citations

Cites

Research works printed but not linked: 10

  1. Kim, 2003, Journal of the Korea Gerontological Society, 23, 21
  2. Kim, 2012, Korean Journal of Social and Personality Psychology, 26, 89
  3. Hwang, 2011, Health and Welfare Policy Forum, 182, 51
  4. Lim, 2002, Journal of the Korea Gerontological Society, 22, 31
  5. Kim, 2012, Korea Journal of Population Studies, 35, 53
  6. Melia, 2016, Journal of Health Research, 30, 109
  7. Seo BR. The predicting models of the ageism among the university students [master's thesis]. Seoul:Chung-Ang University; 2015.
  8. Kim, 2011, Journal of the Korea Gerontological Society, 31, 505
  9. Kim, 2011, Korean Journal of Social Welfare Research, 26, 27
  10. Oral, 2019, Medicine Science, 8, 117

Cited by

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Metadata

Authors
Kim, J., & Ha, J.
Affiliations
  • Korean Bible University (KR)
  • Konyang University (KR)
ORCID
Venue
Journal of Korean Academy of Nursing Administration
Publisher
XMLink
Published
2019
Volume
25
Issue
5
Pages
393
ISSN
  • 1225-9330 (ISSN-L)
  • 2288-4955
DOI
10.11111/jkana.2019.25.5.393
OpenAlex
W2997901739
Cited by
14
References
28
Citations by year
2026: 4 · 2025: 3 · 2024: 2 · 2022: 3 · 2021: 2
FWCI
2.62
Type
journal article
Language
ko
Open access
Licence
  • cc-by-nc
  • creativecommons.org/licenses/by-nc/3.0/ (tdm)
Locations
Journal of Korean Academy of Nursing Administration (publishedVersion, cc-by-nc)
Funders
National Research Foundation of Korea (2018R1C1B5085248)
Topics
  • Social Sciences › Demography › Retirement, Disability, and Employment
  • Social Sciences › Psychology › Developmental and Educational Psychology › Aging and Gerontology Research
  • Health Sciences › Nursing › Research and Theory › Nursing education and management
Keywords
ageism, nurses, general hospitals, age discrimination, employment discrimination, nursing workforce

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.