2 resultados para Submachine guns
em DigitalCommons@The Texas Medical Center
Resumo:
Objectives. To determine demographic correlates of having one or more guns in the household of women primary care patients in the southern USA. ^ Methods. All participants in this cross-sectional study were women aged 18-65 who were insured by either Medicaid or a managed care provider and had ever had an intimate sexual relationship with a male partner that lasted at least three months. Prevalence rate ratios and 95% confidence intervals were calculated using stratified analyses for having a gun in the home and the following demographic factors: age, race, educational attainment, marital status, employment status, and alcohol/drug use. ^ Results. Twenty six percent of households had at least one gun and 6.5% had 3 or more guns. The following demographic characteristics of women were associated with having a gun in the household: age (>40) (prevalence rate ratio [PRR] = 1.4; 95% confidence interval [CI] = 1.1–1.8); White race (PRR = 1.89; 95% CI = 1.61–2.27); currently being employed (PRR = 1.72; 95% CI = 1.22–2.44); higher education; and being insured by an HMO (PRR = 1.92; 95% CI = 1.47–2.50). Neither the partner's unemployment nor his substance use was associated with having a gun. While White households were more likely to have a gun, the same correlates of gun ownership held for both White and African-American households; being married or living as married and higher socio-economic status (i.e. HMO insurance and being employed) were strongly correlated with gun in the household. The following were correlated with having multiple guns in the household: White race (p < 0.0001); increased age (p = 0.005); being currently married or living as married (p < 0.0001); and HMO insured status (p < 0.0001). Among those households with at least one gun, White race and married or currently living as married were associated with having 2 or more guns relative to one gun in the household. ^ Conclusions. Currently living with a man and being of higher socio-economic status were strong correlates of household gun ownership among both Whites and African-Americans. Substance use was not associated with household gun ownership. ^
Resumo:
Unintentional injury is the leading cause of death for American ages one to 44 and is ranked in the top ten causes of death for all age groups (CDC, 2006a). A Su Salud Injury Prevention was developed to address injury prevention awareness and education. The program is a mass media education campaign that uses role models, mass media, and community outreach to prevent injury. In 2009, University Health System (UHS) expanded the program. Baseline data were collected from 426 residents in targeted neighborhoods northwest of downtown San Antonio to support the expansion. The purpose of this study was to explore injury perceptions, knowledge, and behaviors of adults living in the expansion area, and define the predominant factors associated with these perceptions. A secondary aim was to assess community awareness and willingness to participate in the program.^ Survey results showed motor vehicle crashes (MVC), falls, drinking and driving, and guns and assaults were considered the most serious injures for adults. The most serious child injuries were MVC, abuse and neglect, falls, and head injuries. Residents were knowledgeable of state seatbelt policy, and over 90% responded as compliant for seatbelt and child car seat use. Most were knowledgeable about drinking and driving state policy and negative outcomes. However, 70% of those reporting driving under the influence of alcohol within the last year engaged in repeat high risk behavior. Men and residents under the age of 55 were more likely to engage in repeat drinking and driving (OR= 3.6, 7.0 respectively). Residents consider injury prevention an important issue, and have interest in a local injury prevention program. Younger women are the most likely to participate in a local program as potential role models and volunteers.^ Results from the study are summarized into an injury prevention and demographic profile of the community that will be used to develop tailored injury prevention messages to create a more effective program, and support program coordinators in effective community engagement. Results will also be used as a comparative basis for future evaluation of a behavioral injury prevention program focused on a predominantly Mexican-American community.^