141st APHA Annual Meeting

In This section

281257
Alcohol policy scale and binge drinking among u.s. adults

Monday, November 4, 2013 : 8:30 AM - 8:50 AM

Toben F. Nelson, ScD , Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
Ziming Xuan, ScD, SM, MA , Department of Community Health Sciences, Boston University School of Public Health, Boston, MA
Jason Blanchette, MPH , Section of General Internal Medicine, Boston Medical Center, Boston, MA
Thien Nguyen, MPH , Department of Community Health Sciences, Boston University School of Public Health, Boston, MA
Timothy Heeren, PhD , Biostatistics Department, Boston University School of Public Health, Boston, MA
Timothy S. Naimi, MD, MPH , Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA
Background: Alcohol use is related to the three leading causes of death for high school-aged youth and is a significant contributor to academic and social problems. Policies targeting youth drinking can reduce youth drinking, but little is known about the relationship between general population-based alcohol policies and youth drinking.

Methods: An Alcohol Policy Scale (APS) score was constructed based on the presence or absence of 29 state-level alcohol policies (after weighting each policy based on its relative efficacy and degree of implementation in states) for each U.S. state-year from 2000-2011. Using similar methods, 2 additional scales were created: one restricted to the 14 policies targeting the general population (P-APS), and another restricted to the 15 youth-specific policies (Y-APS). Data on state-level youth drinking prevalence were obtained from the Youth Risk Behavior Survey from biennial years from 1999-2011. The relationship of state-level youth drinking prevalence and P-APS was examined using linear regression models.

Results: In separate bivariate analyses, the APS, Y-APS and P-APS scores were all significantly inversely associated with youth drinking prevalence (APS beta=-2.197, Rē=0.24, p<0.0001; Y-APS beta=-3.669, Rē=0.19, p<0.0001; P-APS beta=-3.092, Rē=0.18, p<0.0001). After controlling for Y-APS scores, there was a significant independent inverse relationship between P-APS and youth drinking (beta=-1.936, p=0.0008) that was comparable to that between Y-APS and youth drinking.

Summary: A strong state-level alcohol control environment is associated with less drinking among high school students. In addition, policies targeting the general population may have a strong impact on youth drinking.

Learning Areas:
Conduct evaluation related to programs, research, and other areas of practice
Public health or related laws, regulations, standards, or guidelines
Public health or related public policy
Social and behavioral sciences

Learning Objectives:
Explain the benefits of conducting policy research using a scale compared to isolating individual policies. Discuss the advantages and disadvantages of various methods that can be used to develop a policy scale for policy environment characterization.

Keywords: Alcohol, Public Health Policy

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have over 15 years in alcohol policy research, am currently an assistant professor in the Alcohol Epidemiology Program at the University of Minnesota, and have served as principal- or co-investigator of many alcohol policy federally-funded grants.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.