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Record W3203859201 · doi:10.5455/njcm.20210920054635

Correlation between Stress and Empathy in Medical Students As Compared To General Population

2021· article· en· W3203859201 on OpenAlexaboutno aff
Kinjal Mehta, Prakash Patel, Swati Patel, Ajay Pawar

Bibliographic record

VenueNational Journal of Community Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsEmpathyPopulationStress (linguistics)Clinical psychologyPsychologyDistressPersonal distressAffect (linguistics)Positive correlationMedicineInternal medicineSocial psychologyEnvironmental health

Abstract

fetched live from OpenAlex

Background: Medical students are exposed to numerous internal and external pressures exerted by the environment which may affect their empathy towards patients. This study was conducted to find association between perceived stress and empathy.
 Methodology: The study was conducted in Surat, Gujarat, India from August 15 2021 to September 15 2021 among 225 participants using perceived stress score and using the Toronto Empathy Questionnaire. Two groups -Undergraduate medical students and general population were compared.
 Results: Out of 160 medical undergraduates and 65 people from general population below average empathy was noted in total 51.1%. High empathic attitude was noted in general population in comparison to other medical undergraduates. 24.4% reported low stress, 64% moderate stress and 11.6% high stress and we can appreciate that low stress scores were calculated in general population in comparison to medical undergraduate students. A weak negative correlation between empathy and perceived stress was calculated in medical students whereas strong positive correlation between empathy and perceived stress was calculated in general population.
 Conclusion: A significant proportion of medical students had a comparatively higher stress scores and decreased empathy hence their stress is considered distress whereas general population’s high stress scores were corelating to high empathic attitude, therefore their stress can be considered eustress.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.887

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.062
GPT teacher head0.442
Teacher spread0.381 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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