Literature DB >> 12850891

Total beverage consumption and beverage choices among children and adolescents.

Richard A Forshee1, Maureen L Storey.   

Abstract

Patterns of beverage consumption among children and adolescents are related to age, race, and gender. The relationship between body mass index (BMI) and beverage consumption is unclear. In this paper, the total amount and the types of beverages consumed were analyzed according to age, race, and gender. Multivariate regression models were estimated for consumption of milk, juices, fruit drinks/ades, and carbonated soft drinks. Descriptive and multivariate regression analysis of children aged 6-19 from the US Department of Agriculture's Continuing Survey of Food Intake by Individuals 1994-96, 98 was performed. It was found that age, race, and gender play a significant role in the total amount, types, and relative proportions of beverages consumed by children and adolescents. Individuals in the first decile drink approximately 212.9 g beverages per day, whereas individuals in the tenth decile drink 2036.2 g. Boys drink more of most beverages than girls do. Older teens tend to drink more carbonated beverages, fruit drinks/ades, and citrus juice, but less fluid milk and non-citrus juice. White adolescent boys are heavy consumers of most beverages, including carbonated soft drinks, milk, and fruit drinks/ades. BMI is positively associated with consumption of diet carbonated beverages and negatively associated with consumption of citrus juice. BMI was not associated with consumption of milk, regular carbonated beverages, regular or diet fruit drinks/ades, or non-citrus juices. In conclusion, total beverage consumption and beverage choices are strongly related to age, race, and gender. BMI was only related to consumption of diet carbonated beverages and milk, and those relationships were weak.

Entities:  

Mesh:

Year:  2003        PMID: 12850891     DOI: 10.1080/09637480120092143

Source DB:  PubMed          Journal:  Int J Food Sci Nutr        ISSN: 0963-7486            Impact factor:   3.833


  39 in total

1.  Contribution of beverages to energy, macronutrient and micronutrient intake of third- and fourth-grade schoolchildren in Quetzaltenango, Guatemala.

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Review 2.  Effects of soft drink consumption on nutrition and health: a systematic review and meta-analysis.

Authors:  Lenny R Vartanian; Marlene B Schwartz; Kelly D Brownell
Journal:  Am J Public Health       Date:  2007-02-28       Impact factor: 9.308

Review 3.  Parental influence on eating behavior: conception to adolescence.

Authors:  Jennifer S Savage; Jennifer Orlet Fisher; Leann L Birch
Journal:  J Law Med Ethics       Date:  2007       Impact factor: 1.718

4.  Methylation potential associated with diet, genotype, protein, and metabolite levels in the Delta Obesity Vitamin Study.

Authors:  Jacqueline Pontes Monteiro; Carolyn Wise; Melissa J Morine; Candee Teitel; Lisa Pence; Anna Williams; Beverly McCabe-Sellers; Catherine Champagne; Jerome Turner; Beatrice Shelby; Baitang Ning; Joan Oguntimein; Lauren Taylor; Terri Toennessen; Corrado Priami; Richard D Beger; Margaret Bogle; Jim Kaput
Journal:  Genes Nutr       Date:  2014-04-24       Impact factor: 5.523

Review 5.  Intake of sugar-sweetened beverages and weight gain: a systematic review.

Authors:  Vasanti S Malik; Matthias B Schulze; Frank B Hu
Journal:  Am J Clin Nutr       Date:  2006-08       Impact factor: 7.045

Review 6.  Gain weight by "going diet?" Artificial sweeteners and the neurobiology of sugar cravings: Neuroscience 2010.

Authors:  Qing Yang
Journal:  Yale J Biol Med       Date:  2010-06

Review 7.  Soft drinks and weight gain: how strong is the link?

Authors:  Emily Wolff; Michael L Dansinger
Journal:  Medscape J Med       Date:  2008-08-12

8.  Parental and home environmental facilitators of sugar-sweetened beverage consumption among overweight and obese Latino youth.

Authors:  Laura M Bogart; Burton O Cowgill; Andrea J Sharma; Kimberly Uyeda; Laurel A Sticklor; Katie E Alijewicz; Mark A Schuster
Journal:  Acad Pediatr       Date:  2013-02-26       Impact factor: 3.107

9.  Meeting calcium recommendations during middle childhood reflects mother-daughter beverage choices and predicts bone mineral status.

Authors:  Jennifer O Fisher; Diane C Mitchell; Helen Smiciklas-Wright; Michelle L Mannino; Leann L Birch
Journal:  Am J Clin Nutr       Date:  2004-04       Impact factor: 7.045

10.  Evaluation of effectiveness of class-based nutrition intervention on changes in soft drink and milk consumption among young adults.

Authors:  Eun-Jeong Ha; Natalie Caine-Bish; Christopher Holloman; Karen Lowry-Gordon
Journal:  Nutr J       Date:  2009-10-26       Impact factor: 3.271

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