Evidence map›Paper›PMID 36285952›Full record

ArticleBehavioral sciences (Basel, Switzerland)2022

Resilience and Self-Esteem Mediated Associations between Childhood Emotional Maltreatment and Aggression in Chinese College Students.

Chen Chen, Juan Jiang, Shengkai Ji, Ying Hai

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Observational
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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

4 authors.

Chen ChenCenter for Educational Science and Technology, Beijing Normal University, Zhuhai 519087, China.
Juan JiangDepartment of Preschool Education, Liaoning National Normal College, Shenyang 110000, China.
Shengkai JiPinghu Normal College, Jiaxing University, Jiaxing 314220, China.
Ying HaiSchool of Educational Science, Yancheng Teachers University, Yancheng 224002, China.

Funding

Beijing Normal University at Zhuhai 28817-11032102Department of Education of Guangdong province 2021GXJK199Ministry of Education of the People's Republic of China 21YJC880005
6 · The paper itself

Abstract

Although associations between physical or sexual abuse and aggression have been mainly explored, relationships and pathways between childhood emotional maltreatment and aggression need further exploration, particularly in the Chinese cultural context. This study aimed to explore the associations between childhood emotional maltreatment and aggression and to examine the mediating effects of resilience and self-esteem on those associations. Data were obtained from a convenience sampling of 809 (aged 17−23) college students from three Chinese universities in December 2021, which was approved by the ethics committee of Beijing Normal University, China. All participants completed measures of childhood emotional maltreatment, aggression, resilience, and self-esteem. The results showed that childhood emotional maltreatment was positively associated with aggression (r = 0.41, p < 0.01), and it was negatively associated with resilience (r = −0.56, p < 0.01) and self-esteem (r = −0.10, p < 0.01). Regarding the mediation processes, resilience and self-esteem partially mediated the relationships between childhood emotional maltreatment and aggression. These findings underscore the importance of enhancing levels of resilience and self-esteem in interventions designed to reduce aggression of college students who were emotionally maltreated in childhood.

Indexed as

childhood maltreatmentChinese cultural contextexternalizing problemslater developmentresilience

Identifiers

PMID36285952
PMCPMC9599015

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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.