Dataset Information

Trends in Energy Intake from Alcoholic Beverages among US Adults by Sociodemographic Characteristics, 1989-2012.

ABSTRACT: Long-term US trends in alcoholic beverage calorie intakes remain unexamined, particularly with respect to changes in population subgroup-specific patterns over time.This study examined shifts in the consumption of alcoholic beverages, in total and by beverage type, on any given day among US adults in relation to sociodemographic characteristics.This study was a repeated cross-sectional analysis of data from the 1989-1991 and 1994-1996 Continuing Survey of Food Intakes by Individuals and the 2003-2006 and 2009-2012 National Health and Nutrition Examination Surveys.Adults aged ?19 years (N=39,298) were targeted. A subset of alcoholic beverage consumers (n=7,081) were studied.Survey weighted mean per capita per day intakes (among all participants, both consumers of alcoholic beverages and nonconsumers) and contributions of beer, wine, and liquor/mixed drinks to total alcoholic beverage energy were determined. Multivariable regression models were used to examine trends in the proportion of alcoholic beverage consumers and the per consumer intakes (among consumers of alcoholic beverages only).Per capita intakes from alcoholic beverages increased from 49 kcal/capita/day in 1989-1991 to 109 kcal/capita/day in 2003-2006 (P<0.001). The proportion consuming alcoholic beverages on any given day increased significantly from 1989-1991 to 2009-2012 (P for overall increasing trend <0.0001) for most sociodemographic subgroups. Per consumer, alcoholic beverage calories increased between 1989-1991 and 1994-1996 (P<0.05) for many subpopulations. Adults with less than high school education were less likely to consume alcohol, yet had higher per consumer calorie intakes compared with adults with a college degree. Women and adults aged ?60 years experienced a shift away from liquor/mixed drinks toward wine between 2003-2006 and 2009-2012. Beer contributed roughly 70% to total alcoholic beverage intake for less educated consumers across time.These results indicate there has been an increase in the proportion of US adults who drink on any given day and an increase in calories consumed from alcoholic beverages when drinking occurs.

SUBMITTER: Butler L

PROVIDER: S-EPMC4921270 | biostudies-other | 2016 Jul

REPOSITORIES: biostudies-other

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Trends in Energy Intake from Alcoholic Beverages among US Adults by Sociodemographic Characteristics, 1989-2012.

Butler Lauren L Poti Jennifer M JM Popkin Barry M BM

Journal of the Academy of Nutrition and Dietetics 20160429 7

<h4>Background</h4>Long-term US trends in alcoholic beverage calorie intakes remain unexamined, particularly with respect to changes in population subgroup-specific patterns over time.<h4>Objective</h4>This study examined shifts in the consumption of alcoholic beverages, in total and by beverage type, on any given day among US adults in relation to sociodemographic characteristics.<h4>Design</h4>This study was a repeated cross-sectional analysis of data from the 1989-1991 and 1994-1996 Continuin ...[more]

PMID: 27132721

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Project description:Mexico, with 1 of the highest obesity prevalences in the world, instituted a 10% excise tax for any sugar-sweetened beverage (SSB) starting on 1 January 2014. Understanding the recent patterns and trends in beverage intake and sales in Mexico provides both background and baseline data for the importance of SSBs and other beverages in the Mexican diet. We analyzed a single 24-h dietary recall from 2 nationally representative surveys: the Mexican Nutrition Survey 1999 (n = 6049) and the National Health and Nutrition Survey 2012 (n = 10,343). To describe trends and patterns in beverages, we calculated the volume and energy intake per capita and per consumer and the proportion of consumers of each beverage group in each survey. A commercial sales dataset was used to describe beverage sales trends from 1999 to 2012. From 1999 to 2012, total daily energy from beverages increased among children aged 5-11 y (+45.3 kcal), females aged 12-19 y (+57.3 kcal), and adult females aged 20-49 y (+96.4 kcal) (P < 0.05). Over the same period, intake of beverages with added sugars increased, specifically flavored milk, agua fresca (fruit water made in stalls or at home, usually with added sugars), and fruit drinks among children aged 5-11 y and females aged 12-19 y and caloric coffee/tea, soda, and agua fresca among adult females aged 20-49 y. In 2012, beverages represented 17.5% (325 kcal) and 19.0% (382 kcal) of the total daily energy intake per capita in children aged 1-19 y and adults aged ?20 y, respectively. In 2012, flavored milk beverages, caloric soda, and high-fat milk were the top 3 major contributors to total daily energy intake per capita in all children aged 1-19 y. Caloric soda, caloric coffee/tea, and agua fresca were the top 3 major energy contributors in adults aged ?20 y. From 1999 to 2012, sales of soda, fruit-flavored drinks, and flavored waters increased. In conclusion, consumption of several beverages with added sugars increased among children and adult females in Mexico. Because caloric soda is currently 1 of the top beverages consumed, a 10% tax on SSBs might help to significantly reduce added sugars intake in Mexico.

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Project description:ImportanceTax evaluations have shown effectiveness in reducing purchases of taxed items. However, few studies have looked at changes in overall dietary intake according to national surveys.ObjectiveTo estimate the contribution of taxed and untaxed beverages and foods to dietary intake over time, and the nutritional dietary profile in total beverages and foods consumed.Design, setting, and participantsThis cross-sectional study used data from 3 National Health and Nutrition Surveys of a nationally representative sample of participants aged older than 1 year in Mexico from 2012 (pretax), 2016, and 2018 (posttax). Data were analyzed from September 2021 to December 2022.ExposureTaxes on sugar-sweetened beverages and nonessential energy-dense foods implemented since 2014.Main outcomes and measuresThe outcomes were the contribution of taxed and untaxed beverages to total beverage volume, the contribution of taxed and untaxed foods to total food energy, and the energy density and content of added sugars and saturated fats. Outcomes were assessed with 24-hour recalls (24HR) (2012 and 2016) and Food Frequency Questionnaires (FFQ) (2012, 2016, and 2018), and were adjusted by sociodemographic and macroeconomic variables.ResultsA total of 17 239 participants were analyzed from 2012, 18 974 from 2016, and 30 027 from 2018; approximately 50% were men, and approximately 75% lived in urban areas. According to 24HRs, the contribution of taxed beverages to total beverage volume changed -2.3 (95% CI, -4.4 to -0.2) percentage points from 2012 to 2016, while water increased. The contribution of taxed foods to total food energy changed -3.0 (95% CI, -4.2 to -1.8) percentage points, while untaxed whole grains, processed meats, other animal sources, and sugars and desserts increased. The content in total beverages of added sugars changed -1.1 kcal/100 mL (95% CI, -2.0 to -0.2), and in total foods, the content of added sugar changed -0.6 %kcal (95% CI, -1.0 to -0.2), saturated fat changed -0.8 %kcal (95% CI, -1.1 to -0.4), and energy density changed -9.8 kcal/100 g (95% CI, -13.8 to -5.8). Main results were consistent with the FFQ (up to 2018), with some differences in subgroups and nutritional components.Conclusions and relevanceThe findings of this study on 3 cross-sectional national dietary surveys are consistent with previous evaluations; after tax implementation, there was a decrease in the contribution of taxed items. Furthermore, some unhealthy untaxed items increased, but the content of unhealthful nutritional components, particularly added sugar, in overall beverages and foods decreased.

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Dataset Information

Trends in Energy Intake from Alcoholic Beverages among US Adults by Sociodemographic Characteristics, 1989-2012.

Publications

Trends in Energy Intake from Alcoholic Beverages among US Adults by Sociodemographic Characteristics, 1989-2012.

Similar Datasets

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