While largely preventable, fire and hot water-related injuries are common in the United States. Measures recommended to reduce these injuries are smoke alarms (SAs) and lowered hot water temperatures. This study aims to: (i) describe the prevalence of working SAs and safe water temperatures among low-income, urban communities and (ii) explore the relationship between these behaviors and individuals' knowledge and beliefs about them. In this cross-sectional study, the Health Belief Model was used as a guide for understanding the safety behaviors. A total of 603 households had their SAs and hot tap water temperatures tested and were surveyed about their knowledge and beliefs related to these safety behaviors. We found that 40% of households had working SAs on every level and 57% had safe hot water temperatures. Perceived severity and self-efficacy were significantly associated with SA coverage, whereas perceived susceptibility and beliefs about benefits were significantly associated with safe hot water temperatures. This study demonstrates the need to increase the number of homes with working SAs and safe hot water temperatures. Messages focused on a safe home environment could communicate the ease and harm reduction features of SAs and benefits and risk reduction features of safe hot water temperatures.
"HFS checks revealed 82% had at least one working smoke alarm and 42% had a smoke alarms on each level of their home. Parker and colleagues for 240 caregivers of children under 18 years of age reported 40% (n = 95) had working smoke alarms and 50% (n = 118) had safe hot water temperatures below 120 8F . Shields and colleagues in a randomized control trial of an educational intervention delivered to 720 parents of children 4 months to 5 years, in an urban emergency department, who were telephoned 4–6 months to assess self-reported knowledge and behavior found no difference in knowledge and self-reported behaviors between groups (those receiving the intervention and those who did not) . "
[Show abstract][Hide abstract] ABSTRACT: Residential fires, while constituting a small fraction of fire incidents, are responsible for the majority of civilian fire-related injuries. This study investigates census tract neighborhood socioeconomic factors as correlates of civilian injuries occurring during residential fires in Baltimore, Maryland, between 2004 and 2007. Civilian residential fire related injuries were geocoded and linked to the American Community Survey 2005-2009 data. Negative binomial regression was used to analyze the relationship between fire-injury rates and neighborhood socioeconomic indicators including household income and percentages of households below the poverty line, persons aged 25 years or older with at least a bachelor's degree, homes built in 1939 or earlier, vacant properties, and owner-occupied homes. Between January 2004 and July 2007, there were 482 civilian fire-related injuries that occurred during 309 fires. At the census tract level, a 10% increase in the number of vacant homes was associated with an increase in injury rates by a factor of 1.28 (95% confidence interval 1.05-1.55). A 10% increase in persons aged more than 25 years with at least a bachelor's degree was associated with a decrease in injury rates by a factor of 0.86 (95% confidence interval 0.77-0.96). Neighborhood measures of education and housing age proved good indicators for identifying areas with a higher burden of fire-related injuries. Such analyses can be useful for fire department planning.
Journal of burn care & research: official publication of the American Burn Association 05/2014; 36(2). DOI:10.1097/BCR.0000000000000075 · 1.43 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: In this study the factors of re damage are analyzed through previous research reviews. Local environmental factors as well as those factors attributed to re damage (number of re events, number of injured, number of death, economic loss) were selected to compose mutual relationship model. In order to verify this relationship model, official statistics concerning fire damage were collected from 228 local governments and compared with results from previous research. As a result of this comparison four dependent variables and 22 independent variables that affect fire damage were analyzed. Independent variables are divided into human vulnerability factors, physical vulnerability factors, economic vulnerability factors, mitigating factors and local characteristics. To analyze a relationship between selected dependent variables and independent variables, we applied a semi-logarithm model and performed regression analysis. Among the 22 independent variables, the number of the weak to disaster, social welfare service workers, workers in manufacturing industry, and the number of workers in restaurants and bars per 10,000 people show the signicant correlation with the number of re incidence. e number of death from re is signicantly related to two variables which are the number of social welfare service workers per 10,000 and the ratio of commercial area. Damage cost is significantly dependent on the property taxes per 10,000 people. ese factors were included in the research model as vulnerability factors (human, physical, economic) and mitigating factors and local characteristics, and the validity of research model was veried. e result could contribute to re-ghting resource allocation in Korea or they can be utilized in establishing re prevention policy, which will enhance the national level of re safety.
Journal of the Royal Geographical Society of London 06/2015; 50(3):355-373.
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