Using Rural–Urban Continuum Codes (RUCCS) to Examine Alcohol-Related Motor Vehicle Crash Injury and Enforcement in New York State
| Autor: | Shin Ah Oh, Leah Hines, Matthew Garnett, Joyce C. Pressley, Michael J. Bauer, Chang Liu, Joshua R. Kuhl, Bin Cheng |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Rural Population
Alcohol Drinking Urban Population injury Health Toxicology and Mutagenesis Population New York lcsh:Medicine Crash traffic citations and enforcement Article 03 medical and health sciences 0302 clinical medicine Law Enforcement 0502 economics and business 11. Sustainability Medicine Humans 030212 general & internal medicine rural health education 050210 logistics & transportation education.field_of_study business.industry alcohol Rural health 05 social sciences lcsh:R Public Health Environmental and Occupational Health Accidents Traffic Clinical Coding Emergency department Metropolitan area Confidence interval Cross-Sectional Studies Relative risk Wounds and Injuries Rural area motor vehicle crash business Alcoholic Intoxication human activities Demography |
| Zdroj: | International Journal of Environmental Research and Public Health, Vol 16, Iss 8, p 1346 (2019) International Journal of Environmental Research and Public Health Volume 16 Issue 8 |
| ISSN: | 1660-4601 |
| Popis: | Rural areas of New York State (NYS) have higher rates of alcohol-related motor vehicle (MV) crash injury than metropolitan areas. While alcohol-related injury has declined across the three geographic regions of NYS, disparities persist with rural areas having smaller declines. Our study aim was to examine factors associated with alcohol-related MV crashes in Upstate and Long Island using multi-sourced county-level data that included the Crash Outcome Data Evaluation System (CODES) with emergency department visits and hospitalizations, traffic citations, demographic, economic, transportation, alcohol outlets, and Rural&ndash Urban Continuum Codes (RUCCS). A cross-sectional study design employed zero-truncated negative binominal regression models to assess relative risks (RR) with 95% confidence interval (CI). Counties (n = 57, 56,000 alcohol-related crashes over the 3 year study timeframe) were categorized by mean annual alcohol-related MV injuries per 100,000 population: low (24.7 ± 3.9), medium (33.9 ± 1.7) and high (46.1 ± 8.0) (p < 0.0001). In multivariable analyses, alcohol-related MV injury was elevated for non-adjacent, non-metropolitan counties (RR 2.5, 95% CI: 1.6&ndash 3.9) with higher citations for impaired driving showing a small, but significant protective effect. Less metropolitan areas had higher alcohol-related MV injury with inconsistent alcohol-related enforcement measures. In summary, higher alcohol-related MV injury rates in non-metropolitan counties demonstrated a dose&ndash response relationship with proximity to a metropolitan area. These findings suggest areas where intervention efforts might be targeted to lower alcohol-related MV injury. |
| Databáze: | OpenAIRE |
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