Literature DB >> 28566310

Higher densities of fast-food and full-service restaurants are not associated with obesity prevalence.

Mohsen Mazidi1,2, John R Speakman3,4.   

Abstract

Background: The obesity epidemic in the United States has been mirrored by an increase in calories consumed outside of the home and by expansions in the numbers of, and portion sizes at, both fast-food restaurants (FFRs) and full-service restaurants (FSRs), leading some to blame the epidemic on the restaurant industry. If this were indeed true, one would predict that greater per capita densities of FFRs and FSRs would lead to greater obesity prevalence.Objective: We evaluated the population-level association between both FSRs and FFRs and the prevalence of obesity and calculated the proportion of calories consumed in these establishments.Design: In this ecological cross-sectional study, we used county-level data (aggregate-level data) for obesity prevalence across the mainland United States in 2012 and matched these data to county-level per capita densities of FFRs and FSRs in the same year. Multiple linear regression was used to determine the relation between the prevalence of obesity and the densities of FFRs and FSRs after adjustment for confounding factors.
Results: Contrary to expectations, obesity prevalence was highly significantly negatively related to the densities of both FFRs and FSRs (combined-effect R2 = 0.195). This was principally because greater numbers of both FFRs and FSRs were located in areas in which individuals were on average wealthier and more educated. When we normalized for these factors (and additional socioeconomic variables), the associations between restaurant densities and obesity effectively disappeared (pooled R2 = 0.008). Our calculations showed that the percentage of total calories consumed in FFRs and FSRs is a mean of only 15.9% of the total intake (maximum: 22.6%).Conclusions: Variations in the densities of FFRs and FSRs are not linked to the prevalence of obesity in the United States, and food consumed in these establishments is responsible for <20% of total energy intake. This finding has implications for policy decisions regarding how we aim to tackle the obesity epidemic.
© 2017 American Society for Nutrition.

Entities:  

Keywords:  county level; fast-food restaurants; full-service restaurants; obesity; total energy intake

Mesh:

Year:  2017        PMID: 28566310     DOI: 10.3945/ajcn.116.151407

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


  17 in total

1.  Predicted Impact of the Food and Drug Administration's Menu-Labeling Regulations on Restaurants in 4 New Jersey Cities.

Authors:  Jessie Gruner; Robin S DeWeese; Cori Lorts; Michael J Yedidia; Punam Ohri-Vachaspati
Journal:  Am J Public Health       Date:  2017-12-21       Impact factor: 9.308

2.  Food Sales and Adult Weight Status: Results of a Cross-Sectional Study in England.

Authors:  Stephanie Howard Wilsher; Flo Harrison; Andrew Fearne; Andy Jones
Journal:  Nutrients       Date:  2022-04-22       Impact factor: 6.706

3.  Consumption of takeaway and delivery meals is associated with increased BMI and percent fat among UK Biobank participants.

Authors:  Ahmad A Albalawi; Catherine Hambly; John R Speakman
Journal:  Am J Clin Nutr       Date:  2022-07-06       Impact factor: 8.472

4.  An Indicator Measuring the Influence of the Online Public Food Environment: An Analytical Framework and Case Study.

Authors:  Na Cong; Ai Zhao; Mei-Po Kwan; Jun Yang; Peng Gong
Journal:  Front Nutr       Date:  2022-06-30

5.  Impact of Changes in Chain Restaurant Calories over Time on Obesity Risk.

Authors:  Sara N Bleich; Jesse C Jones-Smith; Marian P Jarlenski; Julia A Wolfson; Johannah M Frelier; Huiru Tao; Yuchen Hu; Anna Zink; Caroline G Dunn; Mark J Soto; Bradley J Herring
Journal:  J Gen Intern Med       Date:  2020-02-14       Impact factor: 5.128

6.  Ambient particulate air pollution (PM2.5) is associated with the ratio of type 2 diabetes to obesity.

Authors:  Mohsen Mazidi; John R Speakman
Journal:  Sci Rep       Date:  2017-08-22       Impact factor: 4.379

7.  Impact of Obesity and Ozone on the Association Between Particulate Air Pollution and Cardiovascular Disease and Stroke Mortality Among US Adults.

Authors:  Mohsen Mazidi; John R Speakman
Journal:  J Am Heart Assoc       Date:  2018-05-30       Impact factor: 5.501

8.  Association of Fast-Food and Full-Service Restaurant Densities With Mortality From Cardiovascular Disease and Stroke, and the Prevalence of Diabetes Mellitus.

Authors:  Mohsen Mazidi; John R Speakman
Journal:  J Am Heart Assoc       Date:  2018-05-25       Impact factor: 5.501

9.  The impact of the novel coronavirus movement restrictions in the United Kingdom on food outlet usage and body mass index.

Authors:  Ahmad Albalawi; Catherine Hambly; John R Speakman
Journal:  Obes Sci Pract       Date:  2021-01-26

10.  Socioeconomic inequalities in food outlet access through an online food delivery service in England: A cross-sectional descriptive analysis.

Authors:  Matthew Keeble; Jean Adams; Tom R P Bishop; Thomas Burgoine
Journal:  Appl Geogr       Date:  2021-08
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