scholarly journals Perception Regarding Knowledge of COVID-19 Prevention in a Sample of a Middle Eastern and North African (MENA) Community in Houston, Texas, USA

2022 ◽  
Vol 19 (1) ◽  
pp. 524
Author(s):  
Jenna Zamil ◽  
Fatin Atrooz ◽  
Zahra Majd ◽  
Sarah Zeidat ◽  
Ghalya Alrousan ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Middle Eastern ◽  
Univariate Analysis ◽  
Cross Sectional Study ◽  
Good Knowledge ◽  
North African ◽  
Multivariable Logistic Regression Model ◽  
Cross Sectional ◽  
Perceived Severity ◽  
African Community

(1) Background: Knowledge of COVID-19 prevention among communities is the first step towards protective behaviors. The objective of this study was to assess COVID-19 prevention knowledge among a Middle Eastern and North African community in Houston, Texas. (2) Methods: A cross-sectional study was conducted using a validated quantitative survey; survey questions consisted of three parts: COVID-19 specific questions, general health questions, and sociodemographic questions. A multivariable logistic regression model was used to determine predictors of perception of knowledge on preventing COVID-19 spread. The outcome of interest comprised of “good/excellent” versus “average and below” knowledge. (3) Results: A total of 366 participants (66.39% males) completed the survey. A univariate analysis demonstrated significant differences in self-reported COVID-19 prevention knowledge among those with and without health insurance, different ages, level of knowledge, and perceived severity of COVID-19 infection. In the multivariate logistic regression, two predictors were identified: those in the 18–25-year-old group were more likely to have “excellent/good” knowledge on COVID-19 spread compared to the ≥40-year-old group (OR: 6.36; 95% CI: 1.38, 29.34). Those who somewhat agree with knowing how to protect themselves from COVID-19 were more likely to have “excellent/good” knowledge of preventing COVID-19 spread compared to those that neither agree nor disagree or disagree (OR: 7.74; 95% CI: 2.58, 23.26). (4) Conclusions: Younger adults reported higher knowledge of COVID-19 prevention.

Triptan and ergotamine overdoses in the United States

Neurology ◽  
2019 ◽  
Vol 94 (14) ◽  
pp. e1460-e1469 ◽  
Author(s):  
Jennifer V. Robblee ◽  
Richard J. Butterfield ◽  
A. Min Kang ◽  
Jonathan H. Smith
Keyword(s):  
Logistic Regression ◽  
Serotonin Syndrome ◽  
Univariate Analysis ◽  
The United States ◽  
Cross Sectional Study ◽  
Major Effect ◽  
Tricyclic Antidepressant ◽  
Multivariable Logistic Regression Model ◽  
Cross Sectional ◽  
Multiple Product

ObjectiveTo examine the clinical outcomes of intentional overdoses involving triptans and ergotamines with a retrospective review of the National Poison Data System (NPDS).MethodsThis was a 5-year retrospective cross-sectional study (2014–2018) using the NPDS. Demographics, exposure characteristics, and outcomes were described. Univariate logistic regression was used to estimate the odds ratio (OR) for major effect or death. A multivariable logistic regression model with inclusion criteria of p < 0.1 in univariate analysis was implemented with backwards selection.ResultsIn this population (n = 1,489), multiple exposure was most common (n = 1,145). The mean age was 31.2 years and 1,197 (80.4%) participants were female. Major effects from a single exposure were seen in <1% with no recorded deaths. Triptan ingestion (n = 328) resulted in hypertension (14%), tachycardia (10.7%), drowsiness (11%), nausea (6.4%), vomiting (4.6%), vertigo (4%), chest pain (3.7%), and diaphoresis (2.4%). Ergotamine ingestion (n = 16) resulted in abdominal pain (16%), vomiting (12.5%), numbness (12.5%), nausea (6.3%), diarrhea (6.3%), and vertigo (6.3%). No clinical effect was seen in 90 (26.2%). No cases met Hunter criteria for serotonin syndrome. There is risk of major event or death due to age (OR 1.02; 95% confidence interval [CI] 1.01–1.04; p = 0.004), multiple product exposure (OR 9.50; 95% CI 2.29–39.48; p = 0.002), and concomitant overdose with benzodiazepines (OR 1.71; 95% CI 1.05–2.78; p = 0.032) or tricyclic antidepressants (OR 3.16; 95% CI 1.88–5.31; p < 0.001).ConclusionThe risk of major effect or death was low and predicted by age, multiple product exposure, and concomitant benzodiazepine or tricyclic antidepressant. The triptan toxidrome consists of hypertension, tachycardia, and drowsiness. The toxic effects of ergotamine are acute gastrointestinal syndrome with vertigo and numbness. No cases of serotonin syndrome were seen.

Symptoms of Depression and Anxiety, and Screening for Mental Disorders in Migrainous Patients

Cephalalgia ◽  
2003 ◽  
Vol 23 (2) ◽  
pp. 79-89 ◽  
Author(s):  
F Kowacs ◽  
MP Socal ◽  
SC Ziomkowski ◽  
VF Borges-Neto ◽  
DP Toniolo ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Mental Disorders ◽  
Healthy Subjects ◽  
Univariate Analysis ◽  
Cross Sectional Study ◽  
Depression And Anxiety ◽  
Sectional Study ◽  
Cross Sectional ◽  
Symptoms Of Depression ◽  
Gender Education

The purpose of this clinic-based study was the assessment of symptoms of depression, anxiety, and non-specific psychiatric disorders amongst patients with migraine, compared with healthy subjects and with individuals with a non-neurological chronic disease. A cross-sectional study was carried out in which 178 individuals (migraine 51; psoriasis 35; healthy 92) were submitted to three scales: MADRS (depression), STAI-T (anxiety) and SRQ (screening for mental disorders). The subjects with migraine and psoriasis were from the Out-patient Clinics of Headache and of Dermatology, and the healthy volunteers were persons who were accompanying out-patients in the same hospital. Scores were analysed by MANOVA and by association analysis and logistic regression. Scores of all instruments were higher in the migrainous group, but the univariate analysis of association (using cut-offs) showed significance only for suspicion of mental disorders (SRQ). By logistic regression, variables with strongest association to migraine were gender, education, and SRQ in decreasing order.

scholarly journals Clinical differences between eosinophilic and non-eosinophilic acute exacerbation of chronic obstructive pulmonary disease (AECOPD), a multicenter cross-sectional study

2020 ◽  
Author(s):  
Guangming Dai ◽  
Yajuan Ran ◽  
Jiajia Wang ◽  
Xingru Chen ◽  
Junnan Peng ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Demographic Data ◽  
Univariate Analysis ◽  
Underlying Disease ◽  
Cross Sectional Study ◽  
Chronic Obstructive ◽  
Multiple Logistic Regression ◽  
Sectional Study ◽  
Laboratory Findings ◽  
Cross Sectional

Abstract Background AECOPD is highly heterogeneous with respect to etiology and inflammation. COPD with higher blood eosinophils is associated with increased readmission rates and better corticosteroid response. However, the clinical features of eosinophilic AECOPD aren’t well explored. Then, the aim of this study was to investigate the clinical differences between eosinophilic and non-eosinophilic AECOPD. Methods A total of 643 AECOPD patients were enrolled in this multicenter cross-sectional study. Finally, 455 were included, 214 in normal eosinophils AECOPD (NEOS-AECOPD) group, 63 in mild increased eosinophils AECOPD (MEOS-AECOPD) group, and 138 in severe increased eosinophils AECOPD (SEOS-AECOPD) group. Then, demographic data, underlying diseases, symptoms, and laboratory findings were collected. Multiple logistic regression was performed to identify the independent factors associated with blood EOS. Correlations between blood EOS and its associated independent factors were evaluated. Results The significant differences in 19 factors, including underlying disease, clinical symptom, and laboratory parameters, were identified by univariate analysis. Subsequently, multiple logistic regression revealed that lymphocytes%, neutrophils% (NS%), procalcitonin (PCT), and anion gap (AG) were associated with blood EOS in AECOPD. Both blood EOS counts and EOS% significantly correlated with lymphocytes%, NS%, PCT, and AG. Conclusions The blood EOS was independently associated with lymphocytes%, NS%, PCT, and AG in AECOPD patients. Lymphocytes% was lower, and, NS%, PCT, and AG were higher in eosinophilic AECOPD. Our results indicate that viral dominant infections probably were the major etiology of eosinophilic AECOPD. Non-eosinophilic AECOPD was more likely associated with bacterial dominant infections. The systemic inflammation in non-eosinophilic AECOPD was more severe.

Breakfast consumption is inversely associated with metabolic syndrome in a sample of Iranian adults

2020 ◽  
Author(s):  
Elnaz Lorzadeh ◽  
Zohreh Sadat Sangsefidi ◽  
Masoud Mirzaei ◽  
Mahdieh Hosseinzadeh
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Dietary Habits ◽  
Adult Population ◽  
Middle Eastern ◽  
Population Based ◽  
Cross Sectional Study ◽  
Health Study ◽  
Cross Sectional ◽  
Breakfast Consumption

Abstract Background: Central obesity, insulin resistance, dyslipidemia and hypertension are the core components of metabolic syndrome (MetS) which is coincident with unhealthy dietary habits in the Middle-Eastern countries. The aim of this study was to explore the association between dietary habits and metabolic syndrome of adult population living in Yazd Greater Area, Iran. Methods: This is a cross-sectional study which uses the data of a population-based cohort study on Iranian adults, known as Yazd Health Study (YaHS). The relationship between dietary habits and metabolic syndrome among adults (n= 2896) were analyzed using multiple logistic regression method. Results: Outcomes from logistic regression examining show that breakfast consumption has a significant inverse effect on the occurrence of metabolic syndrome after adjustment for age, education level, physical activity statue, history of chronic diseases and smoking (odds ratio (OR)= 0.38, 95% confidence interval (CI)= 0.14, 0.97). This effect remains significant even after adjustment for body mass index (BMI) and reveals that odds of having MetS is 69 % lower in breakfast consumers in contrast to non-consumers (OR=0.31, 95% CI= 0.11, 0.87). However, no significant relationship was observed between other dietary habits and MetS after adjustment for all potential confounders Conclusions: This study revealed that eating breakfast has an inverse relationship with metabolic syndrome. Finding out stronger evidence in relation between dietary habits and metabolic syndrome, more researches especially population-based cohort studies are needed to be conducted.

scholarly journals Knowledge towards standard precautions among healthcare providers of hospitals in Amhara region, Ethiopia, 2017: a cross sectional study

2020 ◽  
Vol 78 (1) ◽  
Author(s):  
Ayele Semachew Kasa ◽  
Worku Animaw Temesgen ◽  
Yinager Workineh ◽  
Tadesse Dagget Tesfaye ◽  
Sitotaw Kerie ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Healthcare Workers ◽  
Cross Sectional Study ◽  
Good Knowledge ◽  
Multivariable Logistic Regression Analysis ◽  
Sectional Study ◽  
Amhara Region ◽  
Standard Precautions ◽  
Cross Sectional ◽  
Study Participants

Abstract Background Literatures revealed that healthcare-associated infections are still a great concern in many developing countries including in Ethiopia. Despite the development of detailed guidelines for infection control, they remain as a critical challenge for the public health sectors and the knowledge of standard precautions among healthcare workers in many developing countries is low and not properly applied. Hence, the present study tried to determine the level of knowledge about standard precautions among healthcare workers of Amhara region, Ethiopia. Methods Institutional based cross-sectional study was conducted on a randomly selected public hospitals of Amhara region, Northwest Ethiopia from March 01–April 01/2017. A multistage sampling strategy was utilized to select 795 sampled healthcare workers. Data were collected using pretested self-administered questionnaire. The collected data entered using EpiData Version 3.1 statistical software and analyzed using SPSS version 20 statistical package. After using binary logistic regression, multivariable logistic regression analysis used to form the model. Variables which had statistically significant association with the outcome variable (P < 0.05) were identified as significant in the multivariable logistic regression analysis. Results Almost half (49.2%) of the study participants were female healthcare workers. Three-fourth (74.3%) of the healthcare workers involved in the current study had good knowledge towards standard precautions. Good knowledge towards standard precautions refers to scoring correct responses to > 60% of knowledge items from the survey. Year of service (AOR: 0.27, 95% CI: 0.16 to 0.44), educational status (AOR: 1.7, 95% CI: 1.13 to 2.56) were among the predictor variables. In addition, physicians were 6.97 times more likely to be knowledgeable (AOR: 6.97, 95% CI 2.42 to 20.12) than laboratory technician/technology counterparts. Study participants working in medical, Gyn/obs, pediatrics wards, and OPD were about 2.23, 4.27, 2.81 and 2.52 times more likely to be knowledgeable than study participants working in surgical ward. Conclusions Overall, the majority of healthcare workers had good knowledge of standard precautions. But variation in knowledge was detected across healthcare workers by hospital type and ward/units. This may help to design a solution by prioritizing the problem.

scholarly journals Factors associated with elevated alanine aminotransferase in employees of a German chemical company: results of a large cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Matthias Claus ◽  
Christoph Antoni ◽  
Bernd Hofmann
Keyword(s):  
Logistic Regression ◽  
Quantile Regression ◽  
Alanine Aminotransferase ◽  
Geometric Mean ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariable Logistic Regression Model ◽  
Related Factors ◽  
Cross Sectional ◽  
Chemical Company

Abstract Background We aimed to determine the prevalence of elevated alanine aminotransferase (eALT) in employees of a German chemical company, and analyze its association with sociodemographic, work- and lifestyle-related factors. Methods The cross-sectional study is based on data surveyed from occupational health check-ups between 2013 and 2018 at the site clinic of a chemical company based in Ludwigshafen, Germany. We used logistic regression analyses to assess the association between sociodemographic, work- and lifestyle-related characteristics and eALT. Quantile regression technique was applied to investigate if associations vary across different quantiles of the ALT distribution. Results Participants (n = 15,348) were predominantly male (78.3%) with a mean age of 42.2 years (SD 10.7). The prevalence of eALT was 18.5% (21.6% in men/7.2% in women) with a geometric mean of 28.9 U/L (32.8 U/L in men/18.5 U/L in women). In the multivariable logistic regression model, odds of eALT were significantly higher for males (OR 2.61; 95%-CI 2.24–3.05), manual workers (OR 1.23; 95%-CI 1.06–1.43), overweight (OR 2.66; 95%-CI 2.36–3.00) or obese respondents (e.g. OR 7.88; 95%-CI 5.75–10.80 for obesity class III), employees who consume any number of alcoholic drinks/week (e.g. OR 1.32; 95%-CI 1.16–1.49 for ≥ 3 drinks per week) and diabetics (OR 1.47; 95%-CI 1.22–1.78). Additionally, season of participation was significantly associated with eALT, with odds being higher for participation in spring, fall or winter, as compared to summer. A significant interaction between age and gender (pInteraction < 0.001) was found, showing approximately a u-shaped age/ALT relationship in women and an inversely u-shaped relationship in men. Quantile regression showed an increasing positive effect of male gender, overweight/obesity, and for diabetics on ALT level when moving from the lowest (q0.1) to the highest (q0.9) considered quantile. Additionally, from the lowest to the highest quantile an increasing negative effect on ALT for older age was observed. Conclusions Prevalence of eALT in our sample of employees can be considered as high, with almost one in five participants affected. Identification of risk groups allows the implementation of targeted preventive measures in order to avoid transition to severe morbidity.

scholarly journals From dyad to triad: a survey on fathers’ knowledge and attitudes toward breastfeeding

2021 ◽  
Author(s):  
Beatrice Letizia Crippa ◽  
Alessandra Consales ◽  
Daniela Morniroli ◽  
Flavia Lunetto ◽  
Maria Enrica Bettinelli ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Exclusive Breastfeeding ◽  
Roc Analysis ◽  
Multivariable Analysis ◽  
Cross Sectional Study ◽  
Binary Logistic Regression Analysis ◽  
Multivariable Logistic Regression Model ◽  
Cross Sectional ◽  
Breastfeeding Rates ◽  
Knowledge And Attitude

AbstractFathers are known to impact breastfeeding outcomes. We aimed to explore paternal knowledge and attitude toward breastfeeding, and possible association with breastfeeding rates at discharge. In this cross-sectional study, we enrolled 200 fathers of healthy term neonates. At discharge, fathers were asked to rate their degree of agreement to 12 items on a 5-point Likert scale. A total score was obtained from their answers. Univariate binary logistic regression analysis was used to verify if the total score was predictive of exclusive breastfeeding at discharge. A multivariable logistic regression model was then used to adjust for possible confounders. ROC analysis was performed, and a Youden’s total score cut-off value was determined to define total score’s performance in predicting exclusive breastfeeding at discharge. Fathers showed a solid knowledge of maternal (87%) and neonatal (98%) benefits of breastfeeding, skin-to-skin (99.5%), rooming-in (79%), and responsive feeding (67.5%); conversely, only 51% knew about the recommended use of pacifiers. Fathers felt personally involved in babies’ feeding in 79% of cases. An association was found between total score and exclusive breastfeeding at discharge at univariate (OR: 1.07, p = 0.04) but not at multivariable analysis (OR: 1.07, p = 0.067). ROC analysis was not statistically significant (AUC 0.58, p = 0.083).Conclusion: By using a novel instrument aimed at quantifying fathers’ knowledge and overall attitude toward breastfeeding, this study underlines the importance of including fathers in the promotion of breastfeeding. Expanding the classic mother-baby dyad to a more modern mother-father-baby triad may impact breastfeeding outcomes at discharge. What is known:• Social support plays a major role in improving breastfeeding outcomes.• Fathers may greatly influence initiation and duration of breastfeeding; the more they know, the more helpful they can be.What is new:• A multidisciplinary team created a structured questionnaire aimed at quantifying fathers’ knowledge and attitude toward breastfeeding.• The association between a higher questionnaire total score and exclusive breastfeeding rates at discharge highlights the importance of including fathers in the promotion of breastfeeding, as part of the breastfeeding team.

scholarly journals Dietary Habits and its Association with Metabolic Syndrome in a large sample of Iranian adults: a population-based study

2020 ◽  
Author(s):  
Elnaz Lorzadeh ◽  
Zohreh Sadat Sangsefidi ◽  
Masoud Mirzaei ◽  
Mahdieh Hosseinzadeh
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Dietary Habits ◽  
Adult Population ◽  
Middle Eastern ◽  
Population Based ◽  
Cross Sectional Study ◽  
Health Study ◽  
Cross Sectional ◽  
Inverse Effect

Abstract Background Central obesity, insulin resistance, dyslipidemia and hypertension are the core components of metabolic syndrome (MetS) which is coincident with unhealthy dietary habits in the Middle-Eastern countries. The aim of this study was to explore the association between dietary habits and MetS of adult population living in Yazd Greater Area, Iran.Methods This is a cross-sectional study which uses the data of a population-based cohort study on Iranian adults, known as Yazd Health Study (YaHS). The relationship between dietary habits and metabolic syndrome among adults (n = 2896) were analyzed using multiple logistic regression method.Results The prevalence of the MetS among the participants was 32.2%. Outcomes from logistic regression examining show that breakfast consumption has a significant inverse effect on the occurrence of MetS after adjustment for age, education level, physical activity statue, history of chronic diseases and smoking (odds ratio (OR) = 0.38, 95% confidence interval (CI) = 0.14, 0.97). This effect remains significant even after adjustment for body mass index (BMI) and reveals that odds of having MetS is 69% lower in breakfast consumers in contrast to non-consumers (OR = 0.31, 95% CI = 0.11, 0.87). However, no significant relationship was observed between other dietary habits including consumption of sweetened drinks, sugar cubes, and fast foods and MetS after adjustment for all potential confoundersConclusions This study revealed that eating breakfast has an inverse relationship with metabolic syndrome. Finding out stronger evidence in relation between dietary habits and MetS, more researches especially population-based cohort studies are needed to be conducted.

scholarly journals Dietary Habits and its Association with Metabolic Syndrome in a large sample of Iranian adults: a population-based study

2020 ◽  
Author(s):  
Elnaz Lorzadeh ◽  
Zohreh Sadat Sangsefidi ◽  
Masoud Mirzaei ◽  
Mahdieh Hosseinzadeh
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Dietary Habits ◽  
Adult Population ◽  
Middle Eastern ◽  
Population Based ◽  
Cross Sectional Study ◽  
Health Study ◽  
Cross Sectional ◽  
Logistic Regression Method

Abstract Background Central obesity, insulin resistance, dyslipidemia and hypertension are the core components of metabolic syndrome (MetS) which is coincident with unhealthy dietary habits in the Middle-Eastern countries. The aim of this study was to explore the association between dietary habits and MetS of adult population living in Yazd Greater Area, Iran. Methods This is a cross-sectional study which uses the data of a population-based cohort study on Iranian adults, known as Yazd Health Study (YaHS). The relationship between dietary habits and metabolic syndrome among adults (n = 2896) were analyzed using multiple logistic regression method. Results The prevalence of the MetS among the participants was 32.2%. Outcomes from logistic regression examining show that breakfast consumption has a significant inverse effect on the occurrence of MetS after adjustment for age, education level, physical activity statue, history of chronic diseases and smoking (odds ratio (OR) = 0.38, 95% confidence interval (CI) = 0.14, 0.97). This effect remains significant even after adjustment for body mass index (BMI) and reveals that odds of having MetS is 69% lower in breakfast consumers in contrast to non-consumers (OR = 0.31, 95% CI = 0.11, 0.87). However, no significant relationship was observed between other dietary habits including consumption of sweetened drinks, sugar cubes, and fast foods and MetS after adjustment for all potential confounders Conclusions This study revealed that eating breakfast has an inverse relationship with metabolic syndrome. Finding out stronger evidence in relation between dietary habits and MetS, more researches especially population-based cohort studies are needed to be conducted.

Risk behaviors related to violence and injury among school-going adolescents in Karnataka, Southern India

2014 ◽  
Vol 26 (4) ◽  
pp. 551-558 ◽  
Author(s):  
Subhashisa Swain ◽  
Padma Mohanan ◽  
Noore Sanah ◽  
Vikram Sharma ◽  
Deboporna Ghosh
Keyword(s):  
Logistic Regression ◽  
Risk Behaviors ◽  
Univariate Analysis ◽  
Later Life ◽  
Cross Sectional Study ◽  
Violence Risk ◽  
Cross Sectional ◽  
Texting While Driving ◽  
Related Risk ◽  
Traffic Rules

Abstract Background: Adolescence is a crucial stage of life. The development and practice of various risk behaviors predisposes the risk of getting injured and consequences in later life. Study methods: This cross-sectional study was conducted among 381 adolescents (15–19 years) studying in different schools and colleges of Udupi. The Youth Risk Behavior Survey (YRBS), Center for Disease Control (CDC) Questionnaire and the Atlanta Questionnaire and Guidelines was adopted for data collection. Behaviors such as poor obeying traffic rules while driving, violence at school premises, and suicidal thoughts of the participants were explored. Univariate analysis followed by multivariate logistic regression was done to estimate the predictors of violence-related behavior using the Statistical Packages for Social Sciences (SPSS) v. 20. Results: In our study, 27.03% of students (total=381) had knowledge of traffic rules in detail, where 65% drove a motorized vehicle. Nearly 75% of students did not use a helmet or seatbelt while driving and 17% used a mobile phone for either talking or texting while driving. Considering all violence risk behaviors, 33.07% of students had at least and 18% had at least two violence-related risk behaviors. Nearly 21.78% thought of hitting somebody, 16.34% of boys and 9.5% of girls carried sharp objects to school, 18.81% of boys and 10.39% of girls damaged or stole other students’ property, 18.37% bullied others in the past month at the school campus, and 11.32% were involved in serious fights. Out of 381 students, 114 (30.32%) were bullied, 10% had been slapped intentionally, and 18% of girls felt unsafe to go out of their home because of threat compared with 15% of boys. In total, 71 (18.93%) students thought of suicide and 22 of them attempted it. Logistic regression showed that boys [odds ratio (OR): 1.72, 95% confidence interval (CI): 1.02–2.93) and students of 16 years of age (OR: 3.02, 95% CI: 1.06–9.02) affected or victimized by violent activities at school (OR: 3.23, 95% CI: 1.76–5.93) and bullied by others (OR: 2.6, 95% CI: 1.55–4.36) were determining factors for violence-related behaviors after adjusting for other variables. Conclusion: There is a need to identify students at risk and for intervention addressing the risk factors. Further qualitative studies could provide more insight.

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