Alcohol Sale Status and Suicide in Kentucky, 2005-2012

Khaleel, Hanan Abdulghafoor; Brown, SA; Christian, W; Fleming, Steven T.

doi:10.4172/2329-6488.1000240

Cited by 1 publication

(3 citation statements)

References 26 publications

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“…The KVDRS combines data from death certificates, coroner/medical examiner reports, police reports, crime laboratory reports and toxicology reports. More information about KVDRS and how it collects data can be found in our previous work (Khaleel et al, 2016). We identified homicide decedents from the KVDRS by the final way of death assigned by the data abstractors.…”

Section: Data Sourcementioning

confidence: 99%

“…Decedent's county of residence was abstracted from the KVDRS and matched to the wet, moist, dry county list released by the Department of Alcoholic Beverage Control in 2015; earlier versions of the list were not easily accessible. The classification of Kentucky counties into wet, moist and dry can be found in our previous work (Khaleel et al, 2016). Briefly, counties were considered dry if alcohol sales were prohibited; moist if alcohol sales were limited to certain places, such as historic places and golf courses; and wet if alcohol sales were allowed without limits.…”

Section: The Exposure Variablementioning

confidence: 99%

“…Counties in Appalachia (in the eastern part of Kentucky) were identified using the Appalachian Regional Commission's classification (2015). Further details are mentioned in our previous work (Khaleel et al, 2016). A composite binary variable was created to indicate the presence of substances other than alcohol in the blood.…”

Section: Confounders and Effect Modifiersmentioning

confidence: 99%

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Alcohol sale status and homicide victimization in Kentucky, 2005-2012: Is there a spatial association?

Khaleel¹,

Brown²,

Fleming³

et al. 2019

Geospat Health

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To date, the association between the alcohol sale status of decedents’ residence and alcohol-related homicide victimization have not been studied as far as we know. The current study aims to: i) determine whether homicide victims who were residents of wet counties had higher odds of testing positive for alcohol than their counterparts in moist or dry counties after adjusting for confounders; ii) determine whether homicides and alcohol-related homicides tend to cluster spatially; iii) determine whether the aforementioned associations exist only in highly-populated counties. A multilevel logistic regression analysis was used to analyze the data on homicide victims in the Kentucky Violent Death Reporting System from 2005 to 2012. Spatial statistics were used to determine the spatial autocorrelation in rates of homicides and alcohol-related homicides. Overall, 944 homicide victims were included. The male to female ratio was 3:1. About 32.8% of homicide victims tested positive for alcohol. About 33.0% of homicide decedents who were residents in wet counties tested positive for alcohol compared to 32.5% of their counterparts in moist/dry counties. Residence in wet counties was associated with a statistically insignificant increase in the unadjusted odds ratio (OR) of alcohol-related homicide victimization (OR=1.20, 95% CI=0.81-1.77) as well as the adjusted odds (aOR=1.33, 95% CI=0.83-2.12). There was no association between population size and alcohol-related homicide rate.

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Section: Data Sourcementioning

confidence: 99%

Section: The Exposure Variablementioning

confidence: 99%

Section: Confounders and Effect Modifiersmentioning

confidence: 99%

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