Evidence map›Paper›PMID 39981399›Full record

ArticleFrontiers in psychology2025

Ability emotional intelligence profiles and real-life outcomes: a latent profile analysis of a large adult sample.

Christophe Haag, Lisa Bellinghausen, Clément Poirier

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Article
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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

3 authors.

Christophe HaagEmlyon, Lyon, France.
Lisa BellinghausenGeneration QE, Vannes, France.
Clément PoirierLaboratoire de Psychologie Appliquée et d'Ergonomie, Institut de Psychologie, Université Paris Descartes, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few studies have examined emotional intelligence (EI) following a person-centered approach to identify different types of EI profiles and their relationship to everyday life outcomes. Even rarer are those using an "ability" approach of EI (AEI) and related "performance-based" tests, which are considered promising. This study fills this gap by identifying AEI profiles and linking them to everyday outcomes such as health, wellbeing, and decision-making. The QEg ("QE" for Emotional Quotient - Quotient Emotional in French - and "g" for the general population), an ability-based measure of EI, along with other measures, was administered to 2,877 French adults. We then ran latent profile analysis (LPA) and identified three latent profiles within a heterogeneous population. The full emotion processing (FEP) profile outperforms the two others on key domains of life such as stress perception, home-work interaction, gratitude and satisfaction with life, emotional burnout prevention, and decision-making. Our research reveals the need for individualized AEI training programs tailored to three distinct profiles, addressing foundational skills for those with minimal or partial emotional processing while refining existing strengths for those with full emotional processing. Targeting interventions to specific profile characteristics could enhance the effectiveness of AEI training and promote improved wellbeing and life outcomes.

Indexed as

ability emotional intelligence (AEI)decision-makingemotional intelligence assessmentgratitudehealthlife outcomesLPAwell - being

Identifiers

PMID39981399
PMCPMC11841456

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Registered trials

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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.