Literature DB >> 24429538

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

Shu Wen Ng1, Meghan M Slining, Barry M Popkin.   

Abstract

BACKGROUND: In the past decade, the United States has seen declining energy intakes and plateauing obesity levels.
OBJECTIVE: We examined whether these observed trends suggest a longer-term shift in dietary and health behavior that is independent of adverse economic conditions.
DESIGN: We used nationally representative cross-sectional surveys on intake and longitudinal household food purchase data along with random-effects models to address this question. Data included individuals in NHANES 2003-2004 to 2009-2010 (children: n = 13,422; adults: n = 10,791) and households from the 2000-2011 Nielsen Homescan Panel (households with children: n = 57,298; households with adults only: n = 108,932).
RESULTS: In both data sets, we showed that children decreased their calories the most. Even after we controlled for important socioeconomic factors, caloric purchases fell significantly from 2003 to 2011 (P < 0.001), particularly for households with children. The Great Recession was associated with small increases in caloric purchases, in which a 1-percentage point increase in unemployment in the local market was associated with a 1.6-4.1-kcal · capita⁻¹ · d⁻¹ (P < 0.001) increase in total calories purchased. Results also indicated shifts in caloric purchases were driven more by declines in caloric purchases from beverages than food.
CONCLUSIONS: US consumers have exhibited changes in intake and purchasing behavior since 2003 that were independent from changing economic conditions linked with the Great Recession or food prices. Public health efforts in the past decade may have contributed to this trend.

Entities:  

Mesh:

Year:  2014        PMID: 24429538      PMCID: PMC3927694          DOI: 10.3945/ajcn.113.072892

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  28 in total

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2.  Nutrition standards in the National School Lunch and School Breakfast Programs. Final rule.

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3.  What are the new national school lunch and breakfast program nutrition standards?

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Journal:  J Acad Nutr Diet       Date:  2012-07       Impact factor: 4.910

4.  Trends in sugar-sweetened beverage consumption among youth and adults in the United States: 1999-2010.

Authors:  Brian K Kit; Tala H I Fakhouri; Sohyun Park; Samara Joy Nielsen; Cynthia L Ogden
Journal:  Am J Clin Nutr       Date:  2013-05-15       Impact factor: 7.045

5.  Disparities in youth physical activity in the United States: 2003-2006.

Authors:  Steven L Gortmaker; Rebekka Lee; Angie L Cradock; Arthur M Sobol; Dustin T Duncan; Y Claire Wang
Journal:  Med Sci Sports Exerc       Date:  2012-05       Impact factor: 5.411

Review 6.  Time use and physical activity: a shift away from movement across the globe.

Authors:  S W Ng; B M Popkin
Journal:  Obes Rev       Date:  2012-06-14       Impact factor: 9.213

7.  Trends in energy intake among adults in the United States: findings from NHANES.

Authors:  Earl S Ford; William H Dietz
Journal:  Am J Clin Nutr       Date:  2013-02-20       Impact factor: 7.045

8.  Trends in purchases and intake of foods and beverages containing caloric and low-calorie sweeteners over the last decade in the United States.

Authors:  C Piernas; S W Ng; B Popkin
Journal:  Pediatr Obes       Date:  2013-03-25       Impact factor: 4.000

9.  Trends in intakes and sources of solid fats and added sugars among U.S. children and adolescents: 1994-2010.

Authors:  M M Slining; B M Popkin
Journal:  Pediatr Obes       Date:  2013-04-02       Impact factor: 4.000

10.  Vital signs: obesity among low-income, preschool-aged children--United States, 2008-2011.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2013-08-09       Impact factor: 17.586

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  46 in total

Review 1.  Global growth of "big box" stores and the potential impact on human health and nutrition.

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Review 2.  Preventing type 2 diabetes: Changing the food industry.

Authors:  Barry M Popkin; W R Kenan
Journal:  Best Pract Res Clin Endocrinol Metab       Date:  2016-05-24       Impact factor: 4.690

3.  Ten-year beverage intake trends among US preschool children: rapid declines between 2003 and 2010 but stagnancy in recent years.

Authors:  C N Ford; S W Ng; B M Popkin
Journal:  Pediatr Obes       Date:  2015-03-02       Impact factor: 4.000

4.  How Does the Healthfulness of the US Food Supply Compare to International Guidelines for Marketing to Children and Adolescents?

Authors:  Elizabeth K Dunford; Shu Wen Ng; Lindsey Smith Taillie
Journal:  Matern Child Health J       Date:  2019-06

5.  Distributional Changes in U.S. Sugar-Sweetened Beverage Purchases, 2002-2014.

Authors:  Pourya Valizadeh; Barry M Popkin; Shu Wen Ng
Journal:  Am J Prev Med       Date:  2020-04-30       Impact factor: 5.043

6.  37 year snacking trends for US children 1977-2014.

Authors:  E K Dunford; B M Popkin
Journal:  Pediatr Obes       Date:  2017-05-15       Impact factor: 4.000

7.  Added Sugars Intake Across the Distribution of US Children and Adult Consumers: 1977-2012.

Authors:  Elyse S Powell; Lindsey P Smith-Taillie; Barry M Popkin
Journal:  J Acad Nutr Diet       Date:  2016-08-01       Impact factor: 4.910

8.  Trends in racial/ethnic and income disparities in foods and beverages consumed and purchased from stores among US households with children, 2000-2013.

Authors:  Shu Wen Ng; Jennifer M Poti; Barry M Popkin
Journal:  Am J Clin Nutr       Date:  2016-08-03       Impact factor: 7.045

9.  Types and Amounts of Nonnutritive Sweeteners Purchased by US Households: A Comparison of 2002 and 2018 Nielsen Homescan Purchases.

Authors:  Elizabeth K Dunford; Donna R Miles; Shu Wen Ng; Barry Popkin
Journal:  J Acad Nutr Diet       Date:  2020-07-29       Impact factor: 4.910

Review 10.  Sweetening of the global diet, particularly beverages: patterns, trends, and policy responses.

Authors:  Barry M Popkin; Corinna Hawkes
Journal:  Lancet Diabetes Endocrinol       Date:  2015-12-02       Impact factor: 32.069

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