Literature DB >> 26063069

Targeted Beverage Taxes Influence Food and Beverage Purchases among Households with Preschool Children.

Christopher N Ford1, Shu Wen Ng1, Barry M Popkin2.   

Abstract

BACKGROUND: How beverage taxes might influence purchases of foods and beverages among households with preschool children is unclear. Thus, we examined the relation between beverage taxes and food and beverage purchases among US households with a child 2-5 y of age.
OBJECTIVES: We examined how a potential tax on sugar-sweetened beverages (SSBs), or SSBs and >1% fat and/or high-sugar milk, would influence household food and beverage purchases among US households with a preschool child. We aimed to identify the lowest tax rate associated with meaningful changes in purchases.
METHODS: We used household food and beverage purchase data from households with a single child who participated in the 2009-2012 Nielsen Homescan Panel. A 2-part, multilevel panel model was used to examine the relation between beverage prices and food and beverage purchases. Logistic regression was used in the first part of the model to estimate the probability of a food/beverage being purchased, whereas the second part of the model used log-linear regression to estimate predicted changes in purchases among reporting households. Estimates from both parts were combined, and bootstrapping was performed to obtain corrected SEs. In separate models, prices of SSBs, or SSBs and >1% and/or high-sugar milk, were perturbed by +10%, +15%, and +20%. Predicted changes in food and beverage purchases were compared across models.
RESULTS: Price increases of 10%, 15%, and 20% on SSBs were associated with fewer purchases of juice drinks, whereas price increases of 10%, 15%, and 20% simulated on both SSBs plus >1% fat and/or high-sugar milk (combined tax) were associated with fewer kilocalories purchased from >1% fat, low-sugar milk, and meat, poultry, fish, and mixed meat dishes.
CONCLUSIONS: Our study provides further evidence that a tax on beverages high in sugar and/or fat may be associated with favorable changes in beverage purchases among US households with a preschool child.
© 2015 American Society for Nutrition.

Entities:  

Keywords:  beverage taxes; excise tax; preschool; soda tax; sugar-sweetened beverages

Mesh:

Year:  2015        PMID: 26063069      PMCID: PMC4516768          DOI: 10.3945/jn.115.210765

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  45 in total

Review 1.  Preventing obesity in children and adolescents.

Authors:  W H Dietz; S L Gortmaker
Journal:  Annu Rev Public Health       Date:  2001       Impact factor: 21.981

2.  Associations between state-level soda taxes and adolescent body mass index.

Authors:  Lisa M Powell; Jamie Chriqui; Frank J Chaloupka
Journal:  J Adolesc Health       Date:  2009-06-16       Impact factor: 5.012

3.  Turning point for US diets? Recessionary effects or behavioral shifts in foods purchased and consumed.

Authors:  Shu Wen Ng; Meghan M Slining; Barry M Popkin
Journal:  Am J Clin Nutr       Date:  2014-01-15       Impact factor: 7.045

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

Authors:  Tatiana Andreyeva; Frank J Chaloupka; Kelly D Brownell
Journal:  Prev Med       Date:  2011-04-03       Impact factor: 4.018

5.  The effects of preloads varying in physical state and fat content on satiety and energy intake.

Authors:  T Hulshof; C De Graaf; J A Weststrate
Journal:  Appetite       Date:  1993-12       Impact factor: 3.868

6.  Dietary sources of energy, solid fats, and added sugars among children and adolescents in the United States.

Authors:  Jill Reedy; Susan M Krebs-Smith
Journal:  J Am Diet Assoc       Date:  2010-10

7.  A penny-per-ounce tax on sugar-sweetened beverages would cut health and cost burdens of diabetes.

Authors:  Y Claire Wang; Pamela Coxson; Yu-Ming Shen; Lee Goldman; Kirsten Bibbins-Domingo
Journal:  Health Aff (Millwood)       Date:  2012-01       Impact factor: 6.301

8.  Impact of targeted beverage taxes on higher- and lower-income households.

Authors:  Eric A Finkelstein; Chen Zhen; James Nonnemaker; Jessica E Todd
Journal:  Arch Intern Med       Date:  2010-12-13

9.  Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010.

Authors:  Cynthia L Ogden; Margaret D Carroll; Brian K Kit; Katherine M Flegal
Journal:  JAMA       Date:  2012-01-17       Impact factor: 56.272

10.  Use of caloric and noncaloric sweeteners in US consumer packaged foods, 2005-2009.

Authors:  Shu Wen Ng; Meghan M Slining; Barry M Popkin
Journal:  J Acad Nutr Diet       Date:  2012-11       Impact factor: 4.910

View more
  6 in total

Review 1.  Abdominal obesity and type 2 diabetes in Asian Indians: dietary strategies including edible oils, cooking practices and sugar intake.

Authors:  S Gulati; A Misra
Journal:  Eur J Clin Nutr       Date:  2017-06-14       Impact factor: 4.016

2.  SSB taxes and diet quality in US preschoolers: estimated changes in the 2010 Healthy Eating Index.

Authors:  C N Ford; J M Poti; S W Ng; B M Popkin
Journal:  Pediatr Obes       Date:  2016-04-05       Impact factor: 4.000

Review 3.  Policy lessons from health taxes: a systematic review of empirical studies.

Authors:  Alexandra Wright; Katherine E Smith; Mark Hellowell
Journal:  BMC Public Health       Date:  2017-06-19       Impact factor: 3.295

4.  The use of commercial food purchase data for public health nutrition research: A systematic review.

Authors:  Lauren Bandy; Vyas Adhikari; Susan Jebb; Mike Rayner
Journal:  PLoS One       Date:  2019-01-07       Impact factor: 3.240

Review 5.  Associations between Governmental Policies to Improve the Nutritional Quality of Supermarket Purchases and Individual, Retailer, and Community Health Outcomes: An Integrative Review.

Authors:  Alyssa J Moran; Yuxuan Gu; Sasha Clynes; Attia Goheer; Christina A Roberto; Anne Palmer
Journal:  Int J Environ Res Public Health       Date:  2020-10-15       Impact factor: 3.390

6.  Own-price, cross-price, and expenditure elasticities on sugar-sweetened beverages in Guatemala.

Authors:  Violeta Chacon; Guillermo Paraje; Joaquin Barnoya; Frank J Chaloupka
Journal:  PLoS One       Date:  2018-10-22       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.