The aim of this study is to identify the predictors of bullying in secondary school students This study uses correlational and regression analysis to examine the relationship between demographic data of students and whether or not they partake in bullying or have been bullied. Out of the given surveys, 357 were answered. The survey was given to three public schools from Irbid city. The results of multiple logistic regression tests revealed that level of study (B = .184, = 0.003) is positively and independently associated with bullying. Factors such as gender, income, and education are not significantly predictive of bullying behavior among school students. This study has implications for healthcare providers, nurses, and policymakers to adapt anti-bullying strategies for all secondary schools.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358737 | PMC |
| http://dx.doi.org/10.1016/j.heliyon.2020.e04418 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Over the last decade, Hippo signaling has emerged as a major tumor-suppressing pathway. Its dysregulation is associated with abnormal expression of and -family genes. Recent works have highlighted the role of YAP1/TEAD activity in several cancers and its potential therapeutic implications.
View Article and Find Full Text PDFGlobal, regional, national burden of asthma from 1990 to 2021, with projections of incidence to 2050: a systematic analysis of the global burden of disease study 2021.
EClinicalMedicine
February 2025
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Background: Asthma is the second leading cause of mortality among chronic respiratory illnesses. This study provided a comprehensive analysis of the burden of asthma.
Methods: Data on asthma were extracted from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021.
Predictive model for assessing the prognosis of rhabdomyolysis patients in the intensive care unit.
Front Med (Lausanne)
January 2025
Department of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Background: Rhabdomyolysis (RM) frequently gives rise to diverse complications, ultimately leading to an unfavorable prognosis for patients. Consequently, there is a pressing need for early prediction of survival rates among RM patients, yet reliable and effective predictive models are currently scarce.
Methods: All data utilized in this study were sourced from the MIMIC-IV database.
Emergence of Extended spectrum β-lactamase (ESBL) and carbapenemase producing in mid-stream urine cultures of patients presenting in outpatient department of tertiary care hospital with uncomplicated cystitis (2016-2022): A retrospective analysis of Laboratory data.
Pak J Med Sci
January 2025
Ikram Din Ujjan, PhD Department of Pathology, Liaquat University of Medical and Health Sciences, Jamshoro, Pakistan.
Objective: To determine the prevalence of antimicrobial resistance (AMR) in isolated from urine cultures of patients with uncomplicated cystitis in Pakistan. Another objective was to analyze and compare the resistance rates of to specific antibiotics, conducting a year-by-year evaluation of these rates to identify trends and changes over the past seven years.
Methods: Retrospective analysis of susceptibility data of isolated from midstream urine culture samples of patients presenting in outpatient department with uncomplicated cystitis, from January 2016 to December 2022 in the section of Microbiology, Liaquat University of Medical and Health Sciences was done.
Objective: This study was conducted to investigate the social media practices and attitudes towards e-professionalism among undergraduate medical students in a medical college of Pakistan.
Methods: This cross-sectional study was conducted on 220 undergraduate medical students from 2 to final-year MBBS, at CMH Lahore Medical College from March to August 2022. After ethical approval, a printed questionnaire was distributed among students, selected by stratified random sampling technique.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!