Bayesian spatial mapping of rates of substance use among high-school students in Florida

ABSTRACT

Objective

In adolescent substance use research, more work has been done in identifying risk factors at individual level while little work was done at community level. The objective of this study is to examine the possible risk factors associated with substance use by high-school students at county level.

Methods

Data on the percentages of county-level substance use by adolescents and county-level risk factors were obtained from the Florida Department of Health, Division of Public Health Statistics & Performance Management (DPHSM). Spatial beta models were used to examine the associations between risk factors and rates of substance use.

Results

Geographic variation in rates of substance use by adolescents was observed in Florida, ranging from 6.5% to 28.6% for drug use, and from 14.8% to 36.3% for alcohol. It was found that percentages of black population and individual below poverty level were inversely associated with rates of drug use by adolescents. There were no significant associations between percentages of drug use by adolescents and median income, adult drug use, school suspension, and student emotional/behavioral disability per county.

Conclusion

Interventions for reducing rates of adolescent substance use may focus on involving parents to monitor financial resources for their children.

KEYWORDS:

• Bayesian inference
• beta model
• spatial mapping, substance use

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The datasets were obtained from publicly archived located at: https://www.flhealthcharts.gov/ChartsReports/rdPage.aspx?rdReport=NonVitalInd.Dataviewer&cid=0445.