Evidence map›Paper›PMID 39541057›Full record

ArticleDiscover mental health2024

The role of emotion regulation strategies as the mediator between self-compassion and depression among undergraduates in Yunnan province, China.

Yu Peng, Zahari Ishak

Abstract read
In one paragraph

Article in Discover mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The Mechanisms Underlying the Relationship Between Self-Compassion and Psychological Outcomes in Adult Populations: A Systematic Review.Stress and health : journal of the International Society for the Investigation of Stress · 2025
    Pooled it
  2. Article
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

2 authors.

Yu PengFaculty of Social Sciences and Liberal Arts, UCSI University, 56000, Kuala Lumpur, Malaysia.
Zahari IshakFaculty of Social Sciences and Liberal Arts, UCSI University, 56000, Kuala Lumpur, Malaysia. zahari@ucsiuniversity.edu.my.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-compassion (SC) and its influence on mental health have always been a significant focus in psychological research, especially given the alarming prevalence of depression among Chinese university students. The purpose of this study is to examine the relationship between SC, encompassing both self-warmth and self-coldness, and depression among Chinese undergraduates, with emotion regulation strategies (ERS) serving as a mediator. The sample comprised 21,353 undergraduates from Yunnan Province, China, with data collected at two time points (T1 and T2). SC was measured using the Self-Compassion Scale-Short Form (SCS-SF), while depression was assessed with the Beck Depression Inventory (BDI). ERS were measured using the Cognitive Emotion Regulation Questionnaire-short (CERQ-short). Data were analyzed using structural equation modeling. Results demonstrated that the model of self-warmth, self-coldness, ERS, and depression fit the data well. Upon controlling for depression at T1, both self-warmth and self-coldness were significant predictors of depression through ERS. ERS were found to be a significant mediator in this study. The results indicated that self-warmth enhances adaptive ERS and reduces maladaptive ERS, leading to lower levels of depression, while self-coldness has the opposite influence.

Indexed as

DepressionEmotion regulation strategiesSelf-coldnessSelf-compassionSelf-warmth

Identifiers

PMID39541057
PMCPMC11564448

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.