Examining the consumer restaurant environment and dietary intake in children.

Child weight Diet quality NEMS-R Nutrition environment

Journal

Preventive medicine reports
ISSN: 2211-3355
Titre abrégé: Prev Med Rep
Pays: United States
ID NLM: 101643766

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 22 06 2020
revised: 09 11 2020
accepted: 24 11 2020
entrez: 23 12 2020
pubmed: 24 12 2020
medline: 24 12 2020
Statut: epublish

Résumé

Within the away-from-home food environment there is a need to account for individual exposure (e.g., frequency of visitation) to that environment. The present study examined the consumer environment in both proximal and visited restaurants and their association with childrens' diet quality and anthropometrics. A cross-sectional analysis used baseline data from the Neighborhood Impact on Kids (NIK) study (2007-2009). Participants were 6-12-year-olds living in King County, WA and San Diego County, CA. This analysis (conducted 2019-2020) examined relationships between nearby restaurant count, Nutrition Environment Measures Survey in Restaurants (NEMS-R) within the child's block group, and weighted NEMS-R scores based on the restaurant where the child ate most frequently in relation to child energy intake, Healthy Eating Index (HEI-2010) total score and anthropometrics. Children's HEI-2010 scores were associated with NEMS-R scores within block groups, with children in the lowest NEMS-R tertile having significantly higher HEI scores than participants in the middle tertile. Weighted NEMS-R scores were significantly associated with waist circumference, with children in the highest NEMS-R tertile having a lower waist circumference than children in the lowest tertile. Nearby restaurant count was not associated with children's diet quality or anthropometrics. Our findings suggest the relationship between nutrition environment and child diet and anthropometrics varied depending on how nutrition environment was defined. However, findings may be limited by the low frequency of eating out reported in this sample. Food environment measures that account for individual-level behavior are needed to better understand the influence of food environments on diet and anthropometrics.

Identifiants

pubmed: 33354495
doi: 10.1016/j.pmedr.2020.101274
pii: S2211-3355(20)30232-1
pmc: PMC7744926
doi:

Types de publication

Journal Article

Langues

eng

Pagination

101274

Subventions

Organisme : NIEHS NIH HHS
ID : R01 ES014240
Pays : United States

Informations de copyright

© 2020 The Authors.

Déclaration de conflit d'intérêts

James F. Sallis receives honoraria and royalties on SPARK physical activity programs from Gopher Sport Inc and the San Diego State University Research Foundation. S. Robson, M. Vadiveloo, S. Green, S. Couch, K. Glanz and B. Saelens have no financial disclosures.

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Auteurs

Shannon M Robson (SM)

Department of Behavioral Health and Nutrition, University of Delaware, 100 Discovery Boulevard, Newark, DE, USA.

Maya Vadiveloo (M)

Department of Nutrition and Food Sciences, University of Rhode Island, Kingston, RI, USA.

Sarah Green (S)

Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Sarah C Couch (SC)

Department of Rehabilitation, Exercise and Nutrition Sciences, University of Cincinnati, Cincinnati, OH, USA.

James F Sallis (JF)

Department of Family Medicine and Public Health, University of California, San Diego, CA, USA.
Mary MacKillip Institute for Health Research, Australian Catholic University, Melbourne, Australia.

Karen Glanz (K)

Perelman School of Medicine and School of Nursing, University of Pennsylvania, Philadelphia, PA, USA.

Brian E Saelens (BE)

Department of Pediatrics, University of Washington and Seattle Children's Research Institute, Seattle, WA, USA.

Classifications MeSH