Literature DB >> 23520564

Prices of healthy and unhealthy beverages in high and low per capita income areas.

Corilee A Watters1, Rachel S Corrado, Frank J Chaloupka.   

Abstract

To better understand availability and price of beverages in Hawai'i, the prices of healthy (milk, orange juice, unsweetened tea, unsweetened coffee, diet soda) and unhealthy beverages (regular soda, fruit drink, sports drink, sweetened tea, flavored water) were collected and the beverage prices in lower per capita income areas and higher per capita income areas were compared. Cross-sectional data on prices of healthy and unhealthy beverages were collected from supermarkets, convenience stores, and quick serve restaurants from two lower per capita income areas (Waimanalo and Wai'anae) and two higher per capita income areas (Hawai'i Kai and Manoa) on O'ahu, Hawai'i from May 15 to June 10, 2012. Using composite data from across all areas, there was a significant difference of $0.58 (95% CI 0.46, 0.70) between the healthy beverages' mean price per 20 ounces ($1.76 ± $0.86) and the unhealthy beverages' mean price per 20 ounces ($1.18 ± $0.38) (P <.001). Although there was no statistically significant difference between per capita income areas, the lower per capita income areas' mean price per 20 ounces of healthy beverages was slightly higher and mean price per 20 ounces of unhealthy beverages was slightly lower than the higher per capita income areas. Pricing strategies that enable healthy beverages to be less expensive than unhealthy beverages is one method to increase consumption of healthy beverages and decrease consumption of unhealthy beverages. Reduction in unhealthy beverage consumption is needed to help reduce obesity, especially in the lower per capita income areas that have higher obesity prevalence.

Entities:  

Mesh:

Year:  2013        PMID: 23520564      PMCID: PMC3602945     

Source DB:  PubMed          Journal:  Hawaii J Med Public Health        ISSN: 2165-8242


  12 in total

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Authors:  Tatiana Andreyeva; Michael W Long; Kelly D Brownell
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Authors:  Hilary Gebauer; Melissa Nelson Laska
Journal:  J Urban Health       Date:  2011-08       Impact factor: 3.671

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7.  Estimating the potential of taxes on sugar-sweetened beverages to reduce consumption and generate revenue.

Authors:  Tatiana Andreyeva; Frank J Chaloupka; Kelly D Brownell
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8.  Nutritional content of television food advertisements seen by children and adolescents in the United States.

Authors:  Lisa M Powell; Glen Szczypka; Frank J Chaloupka; Carol L Braunschweig
Journal:  Pediatrics       Date:  2007-09       Impact factor: 7.124

9.  Environmental factors of obesity in communities with native Hawaiians.

Authors:  Marjorie K Mau; Kara N Wong; Jimmy Efird; Margaret West; Erin P Saito; Jay Maddock
Journal:  Hawaii Med J       Date:  2008-09

10.  Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women.

Authors:  Matthias B Schulze; JoAnn E Manson; David S Ludwig; Graham A Colditz; Meir J Stampfer; Walter C Willett; Frank B Hu
Journal:  JAMA       Date:  2004-08-25       Impact factor: 56.272

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