Evidence map›Paper›PMID 42204594›Full record

ArticleBMC research notes2026

From X to Z: generational differences in ageism among Iranian nurses.

Mohammad Mehdi Rajabi, Mahsa Talesh, Reza Negarandeh, Fatemeh Khoshnavay Fomani

Abstract read
In one paragraph

Article in BMC research notes, 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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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mohammad Mehdi RajabiDepartment of Pediatric Nursing and Neonatal Intensive Care, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0001-6393-8117
Mahsa TaleshDepartment of Community Health and Geriatric Nursing, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.
Reza NegarandehNursing and Midwifery Care Research Center, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0002-7597-5094
Fatemeh Khoshnavay FomaniNursing and Midwifery Care Research Center, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran. f-khoshnava@sina.tums.ac.ir.ORCID http://orcid.org/0000-0002-6936-0827

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAgeism is a form of discrimination based on age. It is defined as negative attitudes, beliefs, or behaviors toward older individuals. In healthcare settings, ageism can lead to reduced care quality, patient dissatisfaction, and poorer health outcomes. One potential factor contributing to ageism among healthcare providers is generational differences. Nurses from different generational cohorts (X, Y, and Z) have differences in socialization, experience, and cultural context, which can lead to variation in ageism. This study aimed to investigate generational differences in ageism among nurses in Iran, specifically examining ageism across Generation X, Y, and Z nurses. A correlational cross-sectional study was conducted among 210 nurses working at two major referral hospitals in Tehran, Iran. Participants were recruited using stratified random sampling. They were categorized into three generational groups: Generation X (45-60 years), Generation Y (29-44 years), and Generation Z (22-28 years). Data were collected using a demographic questionnaire and a validated ageism scale. Statistical analyses included one-way ANOVA, post hoc tests, and hierarchical regression.

resultsSignificant differences were observed in total ageism scores across generational cohorts. Generation Z nurses reported the highest scores (52.19 ± 7.95), followed by Generation Y (45.93 ± 5.96) and Generation X (43.71 ± 7.90). Post hoc analyses indicated that Generation Z scored significantly higher on ageism than both Generation Y and Generation X (P < 0.001). Hierarchical regression confirmed that generational cohort remained a significant predictor of ageism after adjusting for demographic variables, with Generation Z exhibiting higher scores (P < 0.001). These results highlight generational differences in ageism, with Generation Z nurses displaying higher total scores. This suggests the need for targeted interventions, such as geriatric education, communication skills training, and mentorship programs, to reduce ageist attitudes among younger nurses. Further research is required to explore the underlying causes of these generational differences and develop strategies to mitigate ageism in nursing practice.

Indexed as

AgeismAttitude of Health PersonnelIntergenerational RelationsNursesAdultCross-Sectional StudiesFemaleHumansIranMaleMiddle AgedSurveys and QuestionnairesYoung AdultAgeismGenerational differencesGeriatric nursingIran

Identifiers

PMID42204594
PMCPMC13397680

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.