Beverage consumption in the US population.
OBJECTIVE
The purpose of this study was to examine beverage consumption across age, sex, and race/ethnicity categories using the most current data available, the National Health and Nutrition Examination Survey 1999-2002.


METHODS
Beverage consumption that included fluid milk, fruit juices, regular and diet carbonated soft drinks, regular and diet fruit drinks/ades, coffee, and tea was examined among white, African-American, and Mexican-American persons in age groups 6 to 11 years, 12 to 19 years, 20 to 39 years, 40 to 59 years, and >60 years. Data from the National Health and Nutrition Examination Survey 1999-2002 were used in this study.


METHODS
Group means were estimated for the age group, sex, and race/ethnicity subgroups. The probability that any of these group means were equal to one another was tested using statistical software.


RESULTS
The data showed marked differences in beverage consumption depending on age, sex, and race/ethnicity. In general, males consumed more beverages than did females. Specifically, white and Mexican-American persons of all ages consumed more milk than did African-American persons. On average, African-American males and females of all ages consumed significantly more fruit drinks/ades than did other race/ethnicity groups. In contrast, white persons consumed more carbonated soft drinks than did other race/ethnicity groups.


CONCLUSIONS
Average beverage consumption varied depending on age, sex, and race/ethnicity. Knowledge of differences in beverage consumption patterns is important for food and nutrition professionals and nutrition policymakers. Better understanding of the many factors that influence beverage consumption levels is needed.
Storey
Maureen L
ML
Center for Food, Nutrition, and Agriculture Policy, University of Maryland, College Park, 1122 Patapsco, College Park, MD 20742, USA. storey@umd.edu
Forshee
Richard A
RA
Anderson
Patricia A
PA
D000293:Adolescent; D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data; D017677:Age Distribution; D000818:Animals; D001628:Beverages / Q000706:statistics & numerical data*; D002253:Carbonated Beverages / Q000706:statistics & numerical data; D002648:Child; D003069:Coffee; D005006:Ethnicity / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008297:Male; D017058:Mexican Americans / Q000706:statistics & numerical data; D008875:Middle Aged; D008892:Milk; D018673:Nutrition Policy; D009749:Nutrition Surveys; D012044:Regression Analysis; D017678:Sex Distribution; D013662:Tea; D014481:United States / Q000453:epidemiology; D044465:White People / Q000706:statistics & numerical data
D003069:Coffee; D013662:Tea