New study finds a more accurate way to measure per capita alcohol consumption that accounts for changes to how much alcohol is in beer, wine, and spirits
The way we currently measure how much alcohol each person is consuming may be less accurate than previously thought, according to a new study from the Alcohol Research Group, a program of the Public Health Institute. The study authors offer a new way to determine per capita alcohol consumption that accounts for changes to the alcohol content of alcoholic beverages and people’s drinking preferences over time.
The significant increases in mortality rates from alcoholic liver disease (40%) and emergency department visits (62%) over the last decade happened alongside a smaller rise in the total per capita alcohol consumption estimate (6%). The study’s authors sought to understand this difference between how much alcohol people are consuming and alcohol-related harms, and suspected the way per capita alcohol consumption (PCC) is measured may be one of the issues.
Per capita alcohol consumption (PCC) estimates are measured using alcohol sales data and the average percentage of alcohol by volume (%ABV) for each beverage type (beer, wine, spirits). However, the average %ABV per beverage type used to calculate estimates were set in the 1970s and remain stagnant at 4.5%, 12.9% and 41% for beer, wine, and spirits, respectively. Changes to the alcohol content and consumer preferences towards higher or lower %ABV beverages have not been taken into account.
To incorporate these changes into consumption estimates, the study authors measured the average %ABV of major brands and sales of each beverage type by state and nationally from 2003 to 2016. They found that for all beverage types, average %ABV increased across 45 states and nationally. Nationally, %ABV increased over the 2003-2016 period from 4.65% to 4.74 %ABV for beer, 11.6% to 12.3 %ABV for wine, and 36.9% to 38.3 %ABV for spirits. Increases in %ABV varied widely across states. For example, the %ABV of beer increased from 4.51% to just 4.55% in Iowa, whereas in New Mexico it increased from 4.61% to 4.85%.
Between 2003 and 2016, the percentage increase from the new per capita estimates was 7.9% compared to a 5.8% change in the previous estimates. The new consumption estimates showed that Americans aged 15 and older drank on average 303 drinks in 2016, up from about 281 drinks in 2003. The growth in consumer preferences for beverage types with a higher and increasing %ABV and a decrease in preference for lower %ABV beverage types accounted for the changes in the %ABV and consumption estimates.
According to ARG scientist and lead author Priscilla Martinez, PhD, there are many reasons why precise per capita alcohol consumption estimates matter.
“Underestimating changes in how much alcohol we’re consuming limits our ability to understand changes in alcohol-related problems. And since we were already seeing an increase in per capita consumption, our observation that it has possibly increased by even more is cause for concern.”
“Since surveys are finding a decline in youth drinking, the increase in per capita alcohol consumption is probably being driven by drinking among middle-aged and older adults, and they are more likely to have chronic diseases and be on medication. And with increased legalization of cannabis, more people may use alcohol and marijuana together potentially leading to higher rates of drunk driving and self-harm. We need precise consumption estimates to help us understand what’s happening with drinking in our country and to take appropriate action.”
Martinez, P., Kerr, W.C., Subbaraman, M.S., Roberts, S.C.M. (2019). New estimates of the mean ethanol content of beer, wine, and spirits sold in the U.S. show a greater increase in per capita alcohol consumption than previous estimates. Alcoholism: Clinical and Experimental Research: https://onlinelibrary.wiley.com/doi/full/10.1111/acer.13958
Research reported in this article was supported by the U.S. National Institute on Alcohol Abuse and Alcoholism (NIAAA) of the National Institutes of Health under award numbers R01AA023267 (Roberts), K01AA024832 (Martinez), and P50AA005595 (Kerr). The content is solely the responsibility of the authors and does not necessarily represent the official views of NIAAA or the National Institutes of Health.
If you are interested in arranging an interview with Priscilla Martinez, PhD., contact communications specialist Diane Schmidt at (707) 889-8738 or email@example.com.