Literature DB >> 32556223

Perspective: Chaos in a Bottle-A Critical Evaluation of Beverage Categorization in Nutrition Research.

Patrick E Merkel1, Emma K Ditto1, Kim Robien1,2, Allison C Sylvetsky1,2.   

Abstract

Beverage consumption is an important contributor to total daily calorie intake among children and adolescents. While associations between excess calories from beverages and development of obesity are well established, a standardized approach for beverage categorization does not exist. As a result, there is marked heterogeneity in assessment and categorization of beverage intake across studies. The purpose of this article is to critically review beverage categorization in recent (published since 2010) observational studies that evaluated beverage intake in relation to weight/adiposity in US youth, and to put forth an initial proposal for a standardized beverage classification system. Standardized beverage classification is critical to ensure transparency in nutrition science research and facilitate comparison of findings across studies. A systematic literature search identified 37 eligible studies, across which beverage categorization varied considerably. The most heterogeneity was observed for categorization of "sugar-sweetened beverages" and the greatest consistency was observed for categorization of 100% juices. This review provides an evidence-based starting point for urgently needed, collaborative work to determine priorities for beverage categorization and leverage existing standards of identity in order to create and disseminate a standardized beverage classification system. A standardized approach will inform meaningful assessment of beverage consumption in research studies and facilitate impactful translation of research findings into public health nutrition policy.
Copyright © The Author(s) on behalf of the American Society for Nutrition 2020.

Entities:  

Keywords:  childhood obesity; diet beverages; fruit juice; milk; sugar-sweetened beverages

Mesh:

Year:  2020        PMID: 32556223      PMCID: PMC7666890          DOI: 10.1093/advances/nmaa068

Source DB:  PubMed          Journal:  Adv Nutr        ISSN: 2161-8313            Impact factor:   8.701


  54 in total

1.  Sugar intake by type (added vs. naturally occurring) and physical form (liquid vs. solid) and its varying association with children's body weight, NHANES 2009-2014.

Authors:  J A Welsh; Y Wang; J Figueroa; C Brumme
Journal:  Pediatr Obes       Date:  2018-01-09       Impact factor: 4.000

2.  Psychostimulant and other effects of caffeine in 9- to 11-year-old children.

Authors:  Susan V Heatherley; Katie M F Hancock; Peter J Rogers
Journal:  J Child Psychol Psychiatry       Date:  2006-02       Impact factor: 8.982

3.  Child care choices, food intake, and children's obesity status in the United States.

Authors:  Bidisha Mandal; Lisa M Powell
Journal:  Econ Hum Biol       Date:  2014-05-02       Impact factor: 2.184

4.  Longitudinal associations between key dietary behaviors and weight gain over time: transitions through the adolescent years.

Authors:  Melissa N Laska; David M Murray; Leslie A Lytle; Lisa J Harnack
Journal:  Obesity (Silver Spring)       Date:  2011-06-23       Impact factor: 5.002

Review 5.  To what extent have sweetened beverages contributed to the obesity epidemic?

Authors:  Gail Woodward-Lopez; Janice Kao; Lorrene Ritchie
Journal:  Public Health Nutr       Date:  2010-09-23       Impact factor: 4.022

6.  Relationship between 100% juice consumption and nutrient intake and weight of adolescents.

Authors:  Carol E O'Neil; Theresa A Nicklas; Ronald Kleinman
Journal:  Am J Health Promot       Date:  2010 Mar-Apr

7.  Racial and Ethnic Disparities in Early Childhood Obesity: Growth Trajectories in Body Mass Index.

Authors:  Alma D Guerrero; Cherry Mao; Bruce Fuller; Margaret Bridges; Todd Franke; Alice A Kuo
Journal:  J Racial Ethn Health Disparities       Date:  2015-05-15

8.  Beverage Consumption Patterns at Age 13 to 17 Years Are Associated with Weight, Height, and Body Mass Index at Age 17 Years.

Authors:  Teresa A Marshall; John M Van Buren; John J Warren; Joseph E Cavanaugh; Steven M Levy
Journal:  J Acad Nutr Diet       Date:  2017-03-02       Impact factor: 4.910

Review 9.  The Use of Excise Taxes to Reduce Tobacco, Alcohol, and Sugary Beverage Consumption.

Authors:  Frank J Chaloupka; Lisa M Powell; Kenneth E Warner
Journal:  Annu Rev Public Health       Date:  2019-01-02       Impact factor: 21.981

10.  Dietary, physical activity, and sedentary behaviors associated with percent body fat in rural Hispanic youth.

Authors:  Christine A Limbers; Danielle Young; G Richard Grimes
Journal:  J Pediatr Health Care       Date:  2013-01-09       Impact factor: 1.812

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