Abstract

Session presented on: Thursday, July 25, 2013:

Purpose: The purpose of this project was to better understand predictors of violent behavior on school property, using the Centers for Disease Control 2009 Youth Risk Behavior Survey data (n=16,410). It was hypothesized that use of performance enhancing substances (PES) would increase risk for violent behavior occurrence (i.e., carrying a weapon, fighting) on school property.

Methods: Social Cognitive Theory guided identification of factors contributing to violent behaviors at school. Relationships were examined, using descriptive statistics and bivariate analyses for each violent behavior. Structural equation modeling (SEM) was performed to assess the model underlying the hypothesis and to investigate interrelationships among violent behaviors and other predictor variables. One latent response variable was represented by two dependent variables (i.e., carried weapon, and fighting on school property). The fit of the model was assessed according to model specification, testing fit, estimation, respecification. SAS 9.2 was used to account for the complex sample design; PRO CALIS was used to perform SEM.

Results: Approximately 11% of adolescents reported being in a fight and 5 % carried a weapon on school property; highest rates occurring in males. The structural model provided acceptable levels of model fit: X2=1483.73, df=61, p<.001; GFI = 0.986; RMSEA = 0.040 (90% CI = 0.039-0.042); CFI= 0.957 and NNFI = 0.925. All indicators loaded significantly on their respective factors (p<.001).

Conclusion: This study considered PES use as a risk for violent behavior, using a large national sample of adolescents. Violent behaviors occurring on school property contribute to adolescent morbidity and mortality, and may be preventable. The use of existing nationally representative data allows findings to be translated into practice faster than could be achieved with primary data collection. The findings from this study provide evidence of the need for additional studies involving adolescents who are at risk for participating in violent behaviors.

Authors

Janet Thorlton

Author Details

Janet Thorlton, PhD, MS, RN

Sigma Membership

Alpha Lambda

Type

Presentation

Format Type

Text-based Document

Study Design/Type

N/A

Research Approach

N/A

Keywords:

Performance Enhancing Substances, Youth Risk Behavior Survey, Violent Behavior

Conference Name

24th International Nursing Research Congress

Conference Host

Sigma Theta Tau International

Conference Location

Prague, Czech Republic

Conference Year

2013

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Proxy-submission

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Predictors of violent behavior on school property: Analysis of 2009 Youth Risk Behavior Survey data

Prague, Czech Republic

Session presented on: Thursday, July 25, 2013:

Purpose: The purpose of this project was to better understand predictors of violent behavior on school property, using the Centers for Disease Control 2009 Youth Risk Behavior Survey data (n=16,410). It was hypothesized that use of performance enhancing substances (PES) would increase risk for violent behavior occurrence (i.e., carrying a weapon, fighting) on school property.

Methods: Social Cognitive Theory guided identification of factors contributing to violent behaviors at school. Relationships were examined, using descriptive statistics and bivariate analyses for each violent behavior. Structural equation modeling (SEM) was performed to assess the model underlying the hypothesis and to investigate interrelationships among violent behaviors and other predictor variables. One latent response variable was represented by two dependent variables (i.e., carried weapon, and fighting on school property). The fit of the model was assessed according to model specification, testing fit, estimation, respecification. SAS 9.2 was used to account for the complex sample design; PRO CALIS was used to perform SEM.

Results: Approximately 11% of adolescents reported being in a fight and 5 % carried a weapon on school property; highest rates occurring in males. The structural model provided acceptable levels of model fit: X2=1483.73, df=61, p<.001; GFI = 0.986; RMSEA = 0.040 (90% CI = 0.039-0.042); CFI= 0.957 and NNFI = 0.925. All indicators loaded significantly on their respective factors (p<.001).

Conclusion: This study considered PES use as a risk for violent behavior, using a large national sample of adolescents. Violent behaviors occurring on school property contribute to adolescent morbidity and mortality, and may be preventable. The use of existing nationally representative data allows findings to be translated into practice faster than could be achieved with primary data collection. The findings from this study provide evidence of the need for additional studies involving adolescents who are at risk for participating in violent behaviors.