The relationship between health risk behaviors and fear in one urban seventh grade class

Dowdell, Elizabeth Burgess; Santucci, Mary Ellen

doi:10.1053/jpdn.2003.37

Cited by 16 publications

(11 citation statements)

References 17 publications

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“…The present study confirms previous reports on the predictors of weapon carrying among adolescents [ 10 , 13 - 23 ]. In a study sample of 3,054 high school students in Massachusetts, DuRant et al .…”

Section: Discussionsupporting

confidence: 93%

“…Logistic regression analysis was conducted to determine associations between weapon carrying on school property and a selected list of potential explanatory variables. These variables, identified from previous research on adolescent violence, included: substance use [ 13 ]; depression [ 14 ]; suicidal ideation [ 15 ]; physical fighting [ 16 ]; and prior victimization, such as having had property stolen or deliberately damaged at school, having been raped, and having been threatened or injured with a weapon on school property [ 17 - 23 ]. Bivariate logistic regression analyses were conducted between each of the explanatory variables and the outcome (weapon carrying).…”

Section: Methodsmentioning

confidence: 99%

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Correlates of weapon carrying among high school students in the United States

2008

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BackgroundDeaths and injuries arising from interpersonal violence among adolescents are major public health concerns in the United States. The bearing of weapons among adolescents is a critical factor in many of these deaths and injuries.MethodsA secondary analysis of the 2005 United States Youth Risk Behavior Surveillance System Survey data was carried out to examine the variables associated with self-reported history of weapon carrying on school property among high school students. We used logistic regression analysis to assess the associations.ResultsOf the 13,707 respondents who participated in the survey, 10.2% of males and 2.6% of females reported carrying a weapon on school property. In multivariate logistic regression analysis, males were more likely to report having carried a weapon than females (odds ratio (OR) = 5.58; 95% confidence interval (CI) [4.23, 7.62]). Self-reported race/ethnicity was also associated with weapon carrying. Other variables positively associated with weapon carrying at school were substance use (OR = 1.77; 95% CI [1.16, 2.68]), depression (OR = 1.44; 95% CI [1.10, 1.89]), suicidal ideation (OR = 1.64; 95% CI [1.23, 2.19]), having had property stolen or deliberately damaged at school (OR = 1.55; 95% CI [1.21, 1.98]), having been raped (OR = 1.70; 95% CI [1.22, 2.37]), having been threatened or injured with a weapon on school property (OR = 2.19; 95% CI [1.63, 2.95]), and having engaged in physical fighting (OR = 2.02; 95% CI [1.56, 2.63]).ConclusionThis research identifies factors that are associated with weapon bearing among adolescents in the United States. These factors may be important in the design of interventions aimed at improving school safety and adolescent health.

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Section: Discussionsupporting

confidence: 93%

Section: Methodsmentioning

confidence: 99%

Correlates of weapon carrying among high school students in the United States

2008

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“…They speculate that the two possible explanations for this are normative expectations of others' behavior (i.e., students carry weapons because their peers carry weapons; they assume that this is common behavior) and bringing weapons to school in response to perceived threats to their safety. Findings from other studies, which are comparable with our study, indicate that adolescent weapon-carrying practices are associated with fear and worry for safety [7], being threatened with a weapon and fighting [8], and feelings of vulnerability [9].…”

Section: Discussionsupporting

confidence: 90%

Variables Associated with Weapon-Carrying among Young Adolescents in Southern California

Rudatsikira

Singh

Job

et al. 2007

Journal of Adolescent Health

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“…Many pathways from fear of crime to health have been discussed in the literature. These include fear leading to increases in health-reducing behaviours (McCabe and Raine 1997;Dowdell and Santucci 2003), impairments to health from repeated exposure to threatening conditions (Ross and Mirowsky 2001;Elstad 1998), reductions in physical activity due to not feeling safe outside (Kilgour 2003;Ravenscroft et al 2003;Seefeldt et al 2002) and a reluctance to leave the house, leading to reduced social activity and social capital (McCabe and Raine 1997; Patsois 1999) which has been linked to reduced health (Kawachi et al 1997;Kennelly et al 2003;Wen et al 2003;Lindström et al 2001;Lindström 2004;Lochner et al 2003).…”

Section: Estimating Intangible Health Lossesmentioning

confidence: 99%

Estimating the Economic and Social Costs of the Fear of Crime

Dolan

Peasgood²

2006

The British Journal of Criminology

110

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A recent article in this journal, Dolan et al. (2005) provided a methodology for estimating the intangible costs (or losses in quality of life) from violent crime. Here, we develop that methodology to provide estimates of the intangible costs arising from the anticipation of possible victimisation; that is, estimates of the costs of fear of crime. These costs are categorised according to whether they result in non-health losses or health losses. Non-health losses are associated with a) changes in behaviour and/or b) changes in how society is viewed. Possible methods for measuring and valuing these non-health losses are discussed. However, the paper focuses on measuring and providing a provisional monetary valuation for the health losses arising from anticipating crime.

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The relationship between health risk behaviors and fear in one urban seventh grade class

Cited by 16 publications

References 17 publications

Correlates of weapon carrying among high school students in the United States

Correlates of weapon carrying among high school students in the United States

Variables Associated with Weapon-Carrying among Young Adolescents in Southern California

Estimating the Economic and Social Costs of the Fear of Crime

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