Literature DB >> 34030763

Are neighbourhood restaurants related to frequency of restaurant meals and dietary quality? Prevalence and changes over time in the Multi-Ethnic Study of Atherosclerosis.

Amy H Auchincloss1,2, Jingjing Li2, Kari Ab Moore2, Manuel Franco3, Mahasin S Mujahid4, Latetia V Moore5.   

Abstract

OBJECTIVE: To examine whether the density of neighbourhood restaurants affected the frequency of eating restaurant meals and subsequently affected diet quality.
DESIGN: Cross-sectional and longitudinal designs. Structural equation models assessed the indirect relationship between restaurant density (≤3 miles (4·8 km) of participant addresses) and dietary quality (Healthy Eating Index 2010 (HEI)) via the frequency of eating restaurant meals, after adjustment for sociodemographics, select health conditions, region, residence duration and area-level income.
SETTING: Urbanised areas in multiple regions of the USA, years 2000-2002 and 2010-2012. PARTICIPANTS: Participants aged 45-84 years were followed for 10 years (n 3567).
RESULTS: Median HEI (out of 100) was fifty-nine at baseline and sixty-two at follow-up. The cross-sectional analysis found that residing in areas with a high density of restaurants (highest-ranked quartile) was associated with 52 % higher odds of frequently eating restaurant meals (≥3 times/week, OR: 1·52, 95 % CI 1·18, 1·98) and 3 % higher odds of having lower dietary quality (HEI lowest quartile < 54, OR: 1·03, 95 % CI 1·01, 1·06); associations were not sustained in longitudinal analyses. The cross-sectional analysis found 34 % higher odds of having lower dietary quality for those who frequently ate at restaurants (OR: 1·34, 95 % CI 1·12, 1·61), and more restaurant meals (over time increase ≥ 1 time/week) were associated with higher odds of having worse dietary quality at follow-up (OR: 1·21, 95 % CI 1·00, 1·46).
CONCLUSIONS: Restaurant density was associated with frequently eating out in cross-sectional and longitudinal analyses but was associated with the lower dietary quality only in cross-sectional analyses. Frequent restaurant meals were negatively related to dietary quality. Interventions that encourage less frequent eating out may improve population dietary quality.

Entities:  

Keywords:  Diet; Food away from home; Food environment; Restaurant meals; Structural equation models

Mesh:

Year:  2021        PMID: 34030763      PMCID: PMC8688147          DOI: 10.1017/S1368980021002196

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.539


  54 in total

1.  Nutritional value of meals at full-service restaurant chains.

Authors:  Amy H Auchincloss; Beth L Leonberg; Karen Glanz; Samantha Bellitz; Andrew Ricchezza; Allison Jervis
Journal:  J Nutr Educ Behav       Date:  2014-01       Impact factor: 3.045

Review 2.  Monitoring the availability of healthy and unhealthy foods and non-alcoholic beverages in community and consumer retail food environments globally.

Authors:  C Ni Mhurchu; S Vandevijvere; W Waterlander; L E Thornton; B Kelly; A J Cameron; W Snowdon; B Swinburn
Journal:  Obes Rev       Date:  2013-10       Impact factor: 9.213

3.  Mediation analysis with binary outcomes: Direct and indirect effects of pro-alcohol influences on alcohol use disorders.

Authors:  Alan Feingold; David P MacKinnon; Deborah M Capaldi
Journal:  Addict Behav       Date:  2018-12-15       Impact factor: 3.913

4.  Barriers and facilitators of consumer use of nutrition labels at sit-down restaurant chains.

Authors:  Amy H Auchincloss; Candace Young; Andrea L Davis; Sara Wasson; Mariana Chilton; Vanesa Karamanian
Journal:  Public Health Nutr       Date:  2013-02-06       Impact factor: 4.022

5.  Associations between dietary macronutrient intake and plasma lipids demonstrate criterion performance of the Multi-Ethnic Study of Atherosclerosis (MESA) food-frequency questionnaire.

Authors:  Jennifer A Nettleton; Cheryl L Rock; Youfa Wang; Nancy S Jenny; David R Jacobs
Journal:  Br J Nutr       Date:  2009-05-19       Impact factor: 3.718

6.  Multi-Ethnic Study of Atherosclerosis: objectives and design.

Authors:  Diane E Bild; David A Bluemke; Gregory L Burke; Robert Detrano; Ana V Diez Roux; Aaron R Folsom; Philip Greenland; David R Jacob; Richard Kronmal; Kiang Liu; Jennifer Clark Nelson; Daniel O'Leary; Mohammed F Saad; Steven Shea; Moyses Szklo; Russell P Tracy
Journal:  Am J Epidemiol       Date:  2002-11-01       Impact factor: 4.897

7.  The Healthy Eating Index: design and applications.

Authors:  E T Kennedy; J Ohls; S Carlson; K Fleming
Journal:  J Am Diet Assoc       Date:  1995-10

8.  Are fast food restaurants an environmental risk factor for obesity?

Authors:  Robert W Jeffery; Judy Baxter; Maureen McGuire; Jennifer Linde
Journal:  Int J Behav Nutr Phys Act       Date:  2006-01-25       Impact factor: 6.457

9.  Away from home meals: associations with biomarkers of chronic disease and dietary intake in American adults, NHANES 2005-2010.

Authors:  A K Kant; M I Whitley; B I Graubard
Journal:  Int J Obes (Lond)       Date:  2014-10-16       Impact factor: 5.095

10.  Exploring the role of the food environment on food shopping patterns in Philadelphia, PA, USA: a semiquantitative comparison of two matched neighborhood groups.

Authors:  Jana A Hirsch; Amy Hillier
Journal:  Int J Environ Res Public Health       Date:  2013-01-14       Impact factor: 3.390

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  2 in total

Review 1.  Leveraging Observational Cohorts to Study Diet and Nutrition in Older Adults: Opportunities and Obstacles.

Authors:  M Kyla Shea; Andres V Ardisson Korat; Paul F Jacques; Paola Sebastiani; Rebecca Cohen; Amy E LaVertu; Sarah L Booth
Journal:  Adv Nutr       Date:  2022-10-02       Impact factor: 11.567

Review 2.  Eating out of Home: Influence on Nutrition, Health, and Policies: A Scoping Review.

Authors:  Eva Gesteiro; Alberto García-Carro; Raquel Aparicio-Ugarriza; Marcela González-Gross
Journal:  Nutrients       Date:  2022-03-16       Impact factor: 5.717

  2 in total

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