Literature DB >> 28983065

Understanding bias in relationships between the food environment and diet quality: the Coronary Artery Risk Development in Young Adults (CARDIA) study.

Pasquale E Rummo1,2, David K Guilkey3,4, Shu Wen Ng1,4, Katie A Meyer1,4, Barry M Popkin1,4, Jared P Reis5, James M Shikany6, Penny Gordon-Larsen1,4.   

Abstract

BACKGROUND: The relationship between food environment exposures and diet behaviours is unclear, possibly because the majority of studies ignore potential residual confounding.
METHODS: We used 20 years (1985-1986, 1992-1993 2005-2006) of data from the Coronary Artery Risk Development in Young Adults (CARDIA) study across four US cities (Birmingham, Alabama; Chicago, Illinois; Minneapolis, Minnesota; Oakland, California) and instrumental variables (IV) regression to obtain causal estimates of longitudinal associations between the percentage of neighbourhood food outlets (per total food outlets within 1 km network distance of respondent residence) and an a priori diet quality score, with higher scores indicating higher diet quality. To assess the presence and magnitude of bias related to residual confounding, we compared results from causal models (IV regression) to non-causal models, including ordinary least squares regression, which does not account for residual confounding at all and fixed-effects regression, which only controls for time-invariant unmeasured characteristics.
RESULTS: The mean diet quality score across follow-up was 63.4 (SD=12.7). A 10% increase in fast food restaurants (relative to full-service restaurants) was associated with a lower diet quality score over time using IV regression (β=-1.01, 95% CI -1.99 to -0.04); estimates were attenuated using non-causal models. The percentage of neighbourhood convenience and grocery stores (relative to supermarkets) was not associated with diet quality in any model, but estimates from non-causal models were similarly attenuated compared with causal models.
CONCLUSION: Ignoring residual confounding may generate biased estimated effects of neighbourhood food outlets on diet outcomes and may have contributed to weak findings in the food environment literature. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  diet; epidemiological methods; health behaviour; neighborhood/place; nutrition

Mesh:

Year:  2017        PMID: 28983065      PMCID: PMC5713903          DOI: 10.1136/jech-2017-209158

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   6.286


  32 in total

Review 1.  Disparities and access to healthy food in the United States: A review of food deserts literature.

Authors:  Renee E Walker; Christopher R Keane; Jessica G Burke
Journal:  Health Place       Date:  2010-04-24       Impact factor: 4.078

2.  Estimating causal effects from epidemiological data.

Authors:  Miguel A Hernán; James M Robins
Journal:  J Epidemiol Community Health       Date:  2006-07       Impact factor: 3.710

3.  The contextual effects of neighbourhood access to supermarkets and convenience stores on individual fruit and vegetable consumption.

Authors:  J Pearce; R Hiscock; T Blakely; K Witten
Journal:  J Epidemiol Community Health       Date:  2008-03       Impact factor: 3.710

Review 4.  The local food environment and diet: a systematic review.

Authors:  Caitlin E Caspi; Glorian Sorensen; S V Subramanian; Ichiro Kawachi
Journal:  Health Place       Date:  2012-05-31       Impact factor: 4.078

5.  Obesogenic environments in youth: concepts and methods from a longitudinal national sample.

Authors:  Janne Boone-Heinonen; Penny Gordon-Larsen
Journal:  Am J Prev Med       Date:  2012-05       Impact factor: 5.043

6.  A priori-defined dietary patterns and markers of cardiovascular disease risk in the Multi-Ethnic Study of Atherosclerosis (MESA).

Authors:  Jennifer A Nettleton; Matthias B Schulze; Rui Jiang; Nancy S Jenny; Gregory L Burke; David R Jacobs
Journal:  Am J Clin Nutr       Date:  2008-07       Impact factor: 7.045

7.  Fast-food and full-service restaurant consumption among children and adolescents: effect on energy, beverage, and nutrient intake.

Authors:  Lisa M Powell; Binh T Nguyen
Journal:  JAMA Pediatr       Date:  2013-01       Impact factor: 16.193

8.  A study of the reliability and comparative validity of the cardia dietary history.

Authors:  K Liu; M Slattery; D Jacobs; G Cutter; A McDonald; L Van Horn; J E Hilner; B Caan; C Bragg; A Dyer
Journal:  Ethn Dis       Date:  1994       Impact factor: 1.847

Review 9.  Measures of the consumer food store environment: a systematic review of the evidence 2000-2011.

Authors:  Alison Gustafson; Scott Hankins; Stephanie Jilcott
Journal:  J Community Health       Date:  2012-08

10.  Comparing circular and network buffers to examine the influence of land use on walking for leisure and errands.

Authors:  Lisa N Oliver; Nadine Schuurman; Alexander W Hall
Journal:  Int J Health Geogr       Date:  2007-09-20       Impact factor: 3.918

View more
  6 in total

1.  Comparing competing geospatial measures to capture the relationship between the neighborhood food environment and diet.

Authors:  Pasquale E Rummo; Yasemin Algur; Tara McAlexander; Suzanne E Judd; Priscilla M Lopez; Samrachana Adhikari; Janene Brown; Melissa Meeker; Leslie A McClure; Brian Elbel
Journal:  Ann Epidemiol       Date:  2021-05-27       Impact factor: 6.996

2.  Associations of Unhealthy Food Environment With the Development of Coronary Artery Calcification: The CARDIA Study.

Authors:  Julie Kelman; Lindsay R Pool; Penny Gordon-Larsen; J Jeffrey Carr; James G Terry; Jamal S Rana; Kiarri N Kershaw
Journal:  J Am Heart Assoc       Date:  2019-02-19       Impact factor: 5.501

3.  Associations between retail food environment and the nutritional quality of food purchases in French households: The Mont'Panier cross-sectional study.

Authors:  Daisy Recchia; Marlène Perignon; Pascaline Rollet; Simon Vonthron; Marion Tharrey; Nicole Darmon; Thierry Feuillet; Caroline Méjean
Journal:  PLoS One       Date:  2022-04-27       Impact factor: 3.240

4.  Residential exposure to fast-food restaurants and its association with diet quality, overweight and obesity in the Netherlands: a cross-sectional analysis in the EPIC-NL cohort.

Authors:  Marjolein C Harbers; Joline W J Beulens; Jolanda Ma Boer; Derek Karssenberg; Joreintje D Mackenbach; Femke Rutters; Ilonca Vaartjes; W M Monique Verschuren; Yvonne T van der Schouw
Journal:  Nutr J       Date:  2021-06-16       Impact factor: 3.271

5.  Do Changes in the Local Food Environment Within New Residential Developments Influence the Diets of Residents? Longitudinal Results from RESIDE.

Authors:  Alexia Bivoltsis; Gina Trapp; Matthew Knuiman; Paula Hooper; Gina L Ambrosini
Journal:  Int J Environ Res Public Health       Date:  2020-09-17       Impact factor: 3.390

6.  Neighborhood Socioeconomic Environment and Risk of Type 2 Diabetes: Associations and Mediation Through Food Environment Pathways in Three Independent Study Samples.

Authors:  Lorna E Thorpe; Samrachana Adhikari; Priscilla Lopez; Rania Kanchi; Leslie A McClure; Annemarie G Hirsch; Carrie R Howell; Aowen Zhu; Farrokh Alemi; Pasquale Rummo; Elizabeth L Ogburn; Yasemin Algur; Cara M Nordberg; Melissa N Poulsen; Leann Long; April P Carson; Shanika A DeSilva; Melissa Meeker; Brian S Schwartz; David C Lee; Karen R Siegel; Giuseppina Imperatore; Brian Elbel
Journal:  Diabetes Care       Date:  2022-04-01       Impact factor: 17.152

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.