1993
DOI: 10.1016/0022-4375(93)90022-f
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Descriptive epidemiology of unintentional residential fire injuries in King County, WA, 1984 and 1985

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Cited by 12 publications
(13 citation statements)
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“…Although no significance level was reported, the OR values of nine out of these 15 factors were greater than 2. Using relative risk analyses, Ballard and Koepsell [7] also revealed significant differences in age group and ignition factors between fatal and nonfatal injuries as a consequence of residential fires. It should be noted that a series of reports published by the National Fire Protection Association are not referred to here as these reports compare fatalities and the general population [1,19,25], rather than injuries or survivors with no serious injuries.…”
Section: Literature That Compares Between Fire Fatalities and Injuriementioning
confidence: 98%
“…Although no significance level was reported, the OR values of nine out of these 15 factors were greater than 2. Using relative risk analyses, Ballard and Koepsell [7] also revealed significant differences in age group and ignition factors between fatal and nonfatal injuries as a consequence of residential fires. It should be noted that a series of reports published by the National Fire Protection Association are not referred to here as these reports compare fatalities and the general population [1,19,25], rather than injuries or survivors with no serious injuries.…”
Section: Literature That Compares Between Fire Fatalities and Injuriementioning
confidence: 98%
“…These findings occurred across different cities and countries, although the measures of SES used varied considerably. A study primarily of nonfatal fire injuries occurring in one county in Washington State found that persons who were injured from residential fires were more likely to have lower household incomes compared to the average county household income (7). A study of unintentional injuries resulting in hospitalization among men enlisted in the Navy found higher injury rates among men in the lower ranks, i.e., lower pay grades, a proxy for seniority (30).…”
Section: Nonfatal Injuriesmentioning
confidence: 99%
“…6,10,13,[33][34][35][36] Therefore, two variables were used to tap this causeunemployment and low income.…”
Section: Explanation Of Independent Variablesmentioning
confidence: 99%