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Updated: Jul 16, 2025

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

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Published on: February 14, 2014

Relationship Between Resilience, Emotional Intelligence, and Age.

Cindy McGuire¹

¹Cindy McGuire, EdD, R.T.(R)(M), works for Northwestern State University of Louisiana in Shreveport.

Radiologic Technology

|September 14, 2023

Summary

This summary is machine-generated.

Emotional intelligence (EI) and age significantly predict resilience in healthcare students. Integrating EI training into curricula may enhance student resilience and retention in the healthcare profession.

Keywords:

burnout curriculum emotional intelligence health care education resilience

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Last Updated: Jul 16, 2025

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

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Published on: February 14, 2014

Brain Imaging Investigation of the Neural Correlates of Emotion Regulation

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Psychophysiological Assessment of the Effectiveness of Emotion Regulation Strategies in Childhood

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Published on: February 11, 2017

Area of Science:

Health Professions Education
Psychology
Sociology

Background:

Healthcare workforce shortages and burnout necessitate strategies to improve student resilience.
Educational programs play a crucial role in preparing future healthcare professionals for demanding careers.
Understanding factors influencing resilience is vital for student retention and well-being.

Purpose of the Study:

To investigate the relationship between emotional intelligence (EI), age, and resilience among students in healthcare professional programs.
To determine if EI and age are significant predictors of resilience in this population.

Main Methods:

A survey was administered to 199 students in healthcare programs at a southeastern US university.
Participants completed the Schutte Self-Report Emotional Intelligence Test and the Brief Resilience Scale.
Multiple linear regression analysis was used to examine the predictive relationship between EI, age, and resilience.

Main Results:

A significant predictive relationship was found among EI, age, and resilience (F(2,194) = 58.48, P < .001).
EI and age collectively explained approximately 37.6% of the variance in resilience (R² = 0.376).

Conclusions:

Emotional intelligence and age are significant predictors of resilience in healthcare students.
Integrating EI development into healthcare curricula could enhance student resilience and positively impact retention.
These findings suggest a potential strategy for improving the preparedness and career longevity of healthcare professionals.