An ethnically diverse sample of 6th-grade students completed peer nomination procedures that were used to create subgroups of students with reputations as victims, aggressors, aggressive victims, and socially adjusted (neither aggressive nor victimized). Self-report data on psychological adjustment, attributions for peer harassment, and perceived school climate were gathered. In addition, homeroom teachers rated participating students on academic engagement and students' grades were collected from school records. Victims reported the most negative self-views, aggressors enjoyed the most positive self-views, and aggressive victims fell between these two groups, although their psychological profile more closely resembled that of victims. However, all three subgroups encountered more school adjustment problems when compared to their socially adjusted classmates. Different pathways to school adjustment problems for aggressors and victims were examined. For victims, characterological self-blame for victimization and psychological maladjustment were the key mediators, whereas for aggressors, the significant pathway was mainly through perceived unfairness of school rules. Analyses by ethnicity revealed that African American boys were most likely to be perceived as aggressive and as aggressive victims and they were doing most poorly in school. Implications for intervention with subgroups of problem behavior youth and the particular vulnerabilities of African American adolescents were discussed.
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http://dx.doi.org/10.1007/s10802-006-9030-2 | DOI Listing |
Sci Rep
January 2025
Shenyang Institute of Computing Technology, Chinese Academy of Sciences, Shenyang, 110168, Liaoning, China.
The problem of ground-level ozone (O) pollution has become a global environmental challenge with far-reaching impacts on public health and ecosystems. Effective control of ozone pollution still faces complex challenges from factors such as complex precursor interactions, variable meteorological conditions and atmospheric chemical processes. To address this problem, a convolutional neural network (CNN) model combining the improved particle swarm optimization (IPSO) algorithm and SHAP analysis, called SHAP-IPSO-CNN, is developed in this study, aiming to reveal the key factors affecting ground-level ozone pollution and their interaction mechanisms.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Public Health, Salale University, Fitche, Ethiopia.
Background: Anaemia is a worldwide public health problem affecting over 800 million reproductive-age women. In developing countries, postpartum anaemia is a significant cause of maternal morbidity and mortality. In Ethiopia, postpartum anaemia remains a public health issue.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Oral Biology, University of Health Sciences, Lahore, Pakistan.
Studies around the world have reported that dental students experience higher stress compared to medical students. Prolonged and high perceived stress can be of a significant concern as it affects the personal, psychological, and professional well-being of the student, affecting quality of life. The aim of the study was to describe the perceived stress and coping strategies that undergraduate students at dental schools of Lahore, Pakistan employ.
View Article and Find Full Text PDFTransl Behav Med
January 2025
Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Background: Stigma is a pervasive and distressing problem experienced frequently by lung cancer patients, and there is a lack of psychosocial interventions that target the reduction of lung cancer stigma. Mindful self-compassion (MSC) is an empirically supported intervention demonstrated to increase self-compassion and reduce feelings of shame and distress in non-cancer populations. However, there are several anticipated challenges for delivering MSC to lung cancer patients, and modifications may be needed to improve acceptability, appropriateness, and feasibility.
View Article and Find Full Text PDFFront Immunol
January 2025
Laboratory of Cell Hemostasis, Chazov National Medical Research Center of Cardiology of the Ministry of Health of the Russian Federation, Moscow, Russia.
Introduction: Chronic inflammation is a major risk factor for coronary artery disease (CAD). Currently, the inflammatory cardiovascular risk is assessed via C-reactive protein (CRP) levels measured using a high-sensitivity assay (hsCRP). Monomeric CRP (mCRP) is a locally produced form of CRP that has emerged as a potential biomarker of inflammation.
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