Evidence map›Paper›PMID 29142542›Full record

ArticlePakistan journal of medical sciences

Predictors and correlations of emotional intelligence among medical students at King Abdulaziz University, Jeddah.

Nahla Khamis Ibrahim, Wafaa Ali Algethmi, Safia Mohammad Binshihon, Rawan Aesh Almahyawi, Razan Faisal Alahmadi, Maha Yousef Baabdullah

Abstract read
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Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nahla Khamis IbrahimNahla Ibrahim, Professor of Epidemiology at Family & Community Medicine Department, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia. Professor at Epidemiology Department at High Institute of Public Health, Alexandria University, Alexandria, Egypt.
Wafaa Ali AlgethmiWafaa Algethmi, Sixth Year Medical Student, King Abdulaziz University, Jeddah, Saudi Arabia.
Safia Mohammad BinshihonSafia Binshihon, Sixth Year Medical Student, King Abdulaziz University, Jeddah, Saudi Arabia.
Rawan Aesh AlmahyawiRawan Almahyawi, Sixth Year Medical Student, King Abdulaziz University, Jeddah, Saudi Arabia.
Razan Faisal AlahmadiRazan Alahmadi, Sixth Year Medical Student, King Abdulaziz University, Jeddah, Saudi Arabia.
Maha Yousef BaabdullahMaha Baabdullah, Sixth Year Medical Student, King Abdulaziz University, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the predictors of Emotional Intelligence (EI), and its relationship with academic performance, leadership capacity, self-efficacy and the perceived stress between medical students at King Abdulaziz University, Jeddah, Saudi Arabia.

methodsA cross-sectional study was done among 540 students selected through a multi-stage stratified random sampling method during 2015/2016. A standardized, confidential data collection sheet was used. It included Schutte Self-Report Emotional Intelligence (SSREI) scale, Authentic Leadership questionnaire, General Self-Efficacy Scale and the short version of Perceived Stress Scale (PSS-4). Both descriptive and inferential statistics were done, and a multiple linear regression model was constructed.

resultsThe predictors of high EI were gender (female), increasing age, and being non-smoker. EI was positively associated with better academic performance, leadership capacity and self-efficacy. It was negatively correlated to perceived-stress.

conclusionFemale gender, age, non-smoking were the predictors of high EI. Conduction of holistic training programs on EI, leadership and self-efficacy are recommended. More smoking control programs and stress management courses are required.

Indexed as

Emotional intelligenceLeadershipPerceived-stressPredictorsSelf-efficacy

Identifiers

PMID29142542
PMCPMC5673711

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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.