Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Why do some adolescents respond to interpersonal conflicts vengefully, whereas others seek more positive solutions? Three studies investigated the role of implicit theories of personality in predicting violent or vengeful responses to peer conflicts among adolescents in Grades 9 and 10. They showed that a greater belief that traits are fixed (an entity theory) predicted a stronger desire for revenge after a variety of recalled peer conflicts (Study 1) and after a hypothetical conflict that specifically involved bullying (Study 2). Study 3 experimentally induced a belief in the potential for change (an incremental theory), which resulted in a reduced desire to seek revenge. This effect was mediated by changes in bad-person attributions about the perpetrators, feelings of shame and hatred, and the belief that vengeful ideation is an effective emotion-regulation strategy. Together, the findings illuminate the social-cognitive processes underlying reactions to conflict and suggest potential avenues for reducing violent retaliation in adolescents.

Download full-text PDF

Source
http://dx.doi.org/10.1037/a0023769DOI Listing

Publication Analysis

Top Keywords

peer conflicts
12
implicit theories
8
adolescents' implicit
4
theories predict
4
predict desire
4
desire vengeance
4
vengeance peer
4
conflicts
4
conflicts correlational
4
correlational experimental
4

Similar Publications

Objective: This study aimed to measure the impact of adverse events (AEs) on advanced practice provider (APP) well-being and to describe symptoms of second victim syndrome (SVS) among this group of healthcare professionals.

Methods: A survey was designed to measure the incidence of AEs among APPs employed at a large healthcare system and AE impact on emotional, physical, and professional well-being. It also measured burnout, callousness, and the desire for peer support among APPs who had experienced AEs and those who had not.

View Article and Find Full Text PDF

Glucagon-like peptide 1 receptor agonists (GLP-1 RAs) have gained prominence for their efficacy in treating type 2 diabetes and obesity. Recent evidence suggests that their pleiotropic effects-beyond glycemic control and weight loss-include anti-inflammatory, immunomodulatory, and antioxidative effects, which may beneficially support various dermatologic conditions such as psoriasis, hidradenitis suppurativa, acanthosis nigricans, and Hailey-Hailey disease. However, GLP-1 RAs are also associated with emerging cutaneous adverse drug reactions, including bullous, exanthematous and vasculitic manifestations, and other rare side effects.

View Article and Find Full Text PDF

Human YKL-40 antibody alleviates atopic dermatitis-like skin inflammation by inhibiting exosome secretion via the JAK3/STAT6 pathway.

Arch Pharm Res

September 2025

College of Pharmacy and Medical Research Center, Chungbuk National University, 194-21, Osongsaengmyeong 1-ro, Osong-eup, Cheongju-si, Chungcheongbuk-do, 28160, Republic of Korea.

Atopic dermatitis (AD) is an inflammatory skin disease that produces a variety of inflammatory cytokines and chemokines. Chitinase-3-like protein 1 (CHI3L1, YKL-40) significantly contributes to AD-associated inflammatory response and is highly expressed in patients with AD. Therefore, this study elucidated the effects and potential mechanisms of human YKL-40 antibody on AD-affected skin.

View Article and Find Full Text PDF

Background: Powerlifting is a strength sport featuring some of the world's strongest athletes. Recent decades have seen an exponential increase in research into the applied sport science and medicine of powerlifting and its Paralympic counterpart, para powerlifting. A scoping review of the area would provide athletes, coaches, policymakers, and researchers with an overview of the existing evidence to support performance, reduce injury, and foster further growth of these sports.

View Article and Find Full Text PDF

Background: Recent studies suggest that large language models (LLMs) such as ChatGPT are useful tools for medical students or residents when preparing for examinations. These studies, especially those conducted with multiple-choice questions, emphasize that the level of knowledge and response consistency of the LLMs are generally acceptable; however, further optimization is needed in areas such as case discussion, interpretation, and language proficiency. Therefore, this study aimed to evaluate the performance of six distinct LLMs for Turkish and English neurosurgery multiple-choice questions and assess their accuracy and consistency in a specialized medical context.

View Article and Find Full Text PDF