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Differences in the measured alcohol content of drinks between black, white and Hispanic men and women in a US national sample
Author(s) -
Kerr William C.,
Patterson Deidre,
Greenfield Thomas K.
Publication year - 2009
Publication title -
addiction
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.424
H-Index - 193
eISSN - 1360-0443
pISSN - 0965-2140
DOI - 10.1111/j.1360-0443.2009.02579.x
Subject(s) - ethnic group , alcohol , demography , african american , alcohol content , medicine , psychology , gerontology , biochemistry , ethnology , chemistry , sociology , anthropology , history
Aims To measure and describe drink alcohol content differences between Hispanic, non‐Hispanic white and non‐Hispanic black men and women in the United States. Design A telephone survey re‐interview of 397 respondents who participated originally in the 2005 National Alcohol Survey, of whom 306 provided complete information on home drinks. Setting United States. Participants Adults aged 18 years and older from across the United States. Measurements Direct measurement by respondents of simulated drink pours in respondents' own glassware using a provided beaker and reported beverage brands were used to calculate drink alcohol content. Findings Black men were found to have the largest overall mean drink alcohol content at 0.79 oz (23 ml) of alcohol. This was significantly larger than the mean for white men or for black women and added 30% to black men's monthly alcohol intake when applied to their reported number of drinks. Spirits drinks were found to be particularly large for men. Multivariate models indicated that drink alcohol content differences are attributable more to income and family structure differences than to unmeasured cultural factors tied to race or ethnicity per se . Models predicting alcohol‐related consequences and dependence indicate that adjusting drink alcohol content improves model fit and reduces differences between race/ethnicity defined groups. Conclusions Differences in drink alcohol content by gender, race/ethnicity and beverage type choice should be considered in comparisons of drinking patterns and alcohol‐related outcomes. Observed differences can be explained partially by measured characteristics regarding family structure and income.