Evidence map›Paper›PMID 42127343›Full record

ArticleThe journal of nursing research : JNR2026

Discrimination Against Older Adults and Related Behaviors Among Nurses: A Cross-sectional Study.

Chih-Yu Wang, Cheng-Hua Ni, Ching-Wen Chiu, Ruey Chen, I-Hui Chen, Megan F Liu, Yeu-Hui Chuang

Abstract read
In one paragraph

Article in The journal of nursing research : JNR, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chih-Yu WangCollege of Nursing, The Ohio State University, Columbus, OH, USA.ORCID 0000-0002-3880-8895
Cheng-Hua NiDepartment of Nursing, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.ORCID 0009-0002-6092-6027
Ching-Wen ChiuCenter for Management and Development, Taipei Medical University, Taipei, Taiwan.ORCID 0000-0003-4158-1748
Ruey ChenDepartment of Nursing, Shuang-Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.ORCID 0000-0002-0649-430
I-Hui ChenSchool of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.ORCID 0000-0003-3417-0051
Megan F LiuSchool of Gerontology and Long-Term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan.ORCID 0000-0001-5942-8659
Yeu-Hui ChuangSchool of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.ORCID 0000-0003-2559-7184

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the population of older adults growing, nurses are increasingly likely to care for older patients. Ageist attitudes and behaviors in nurses may affect care quality, patient health, and care willingness. Ageism, referring to prejudice, stereotyping, or discrimination against individuals or groups based on their age, has been widely studied in the literature, primarily in non-East Asian countries, and few studies have been designed to investigate ageism and ageist behaviors among hospital nurses in Taiwan. PURPOSE: This study was designed to investigate ageism and ageist behaviors among hospital nurses and identify the factors associated with ageist behaviors.

methodsA cross-sectional approach was used, and 359 nurses in Taiwan were enrolled as participants. Data were collected using a structured questionnaire comprising sociodemographic characteristics, the Fraboni Scale of Ageism (FSA), and Relating to Older People Evaluation (ROPE).

resultsThe mean FSA scale score was 68.77 ± 8.83 and the mean proportion of ROPE was 0.39 ± 0.13, with 0.51 ± 0.16 for positive ageist behaviors and 0.34 ± 0.15 for negative ageist behaviors. Age, working unit, having taken age-related courses at school, and aging anxiety were all shown to relate significantly to ageist behaviors. In addition, a significant association was found between ageism and ageist behaviors. Predictors of ageist behaviors include age, working unit, having taken age-related courses at school, and ageism.

conclusionsThe findings of this study indicate discriminatory attitudes and behaviors toward older adults exist among hospital nurses and that nurses who are older, work in operating rooms or critical care units, have not taken age-related courses in school, or have higher levels of ageism are at higher relative risk of exhibiting ageist behaviors. The findings of this study may be used to guide nursing managers in developing tailored interventions for nurses across different age groups and work units to effectively prevent or mitigate ageist behaviors. Furthermore, nursing educators may use this information to design age-related courses to enhance student awareness of ageist behaviors.

Indexed as

AgeismNursesNursing Staff, HospitalAdultAgedAttitude of Health PersonnelCross-Sectional StudiesFemaleHumansMaleMiddle AgedStereotypingSurveys and QuestionnairesTaiwanageismdiscriminationnurseolder adultstereotype

Identifiers

PMID42127343
PMCPMC13200870

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.