Evidence map›Paper›PMID 41323483›Full record

ArticleFrontiers in psychiatry2025

Enhancing emotional intelligence through sleep therapy in high-stress professionals: a case-control study on efficacy and predictive factors.

Yujia Zhai, Weiqiang Ji, Yugui Li, Qingfeng Du

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yujia ZhaiEndocrinology Department, The Seventh Affiliated Hospital, Southern Medical University, Foshan, Guangdong, China.
Weiqiang JiHealth Management Division, Hospital of Integrated Traditional Chinese and Western Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Yugui LiTraditional Chinese Medicine Department, The Third People's Hospital of Bengbu, Bengbu, Anhui, China.
Qingfeng DuCentre of General Practice, The Seventh Affiliated Hospital, Southern Medical University, Foshan, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sleep disturbances can significantly impair emotional intelligence (EI), particularly among professionals in high-stress occupations. This study evaluated the effectiveness of sleep therapy (ST) in enhancing EI and identified key predictors of therapeutic success. Methods: We conducted a retrospective analysis of 471 adults from high-stress professions who completed a 12-week intervention at Bengbu Third People's Hospital. Among them, 214 received psychoeducational treatment and 257 underwent sleep therapy. A case-control study was performed on the 257 sleep therapy patients. Pre- and post-treatment assessments measured EI components, sleep quality, psychological status, and physical health. Patients were stratified into high and low EI groups based on post-treatment EIS scores. Univariate and multivariate logistic regression analyses identified predictors of EIS improvement. Results: Following the 12-week intervention, the ST group showed significantly greater improvement in total EIS score (60.87 Conclusion: Sleep therapy effectively enhances EI in high-stress professionals suffering from sleep disorders. Treatment efficacy is strongly influenced by adherence, baseline psychological and physical health status, and sleep quality improvements.

Indexed as

adherenceemotional intelligenceoccupational healthpsychological assessmentsleep disorderssleep therapy

Identifiers

PMID41323483
PMCPMC12657432

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.