Literature DB >> 23388204

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

Amy H Auchincloss1, Candace Young, Andrea L Davis, Sara Wasson, Mariana Chilton, Vanesa Karamanian.   

Abstract

OBJECTIVE: Numerous localities have mandated that chain restaurants post nutrition information at the point of purchase. However, some studies suggest that consumers are not highly responsive to menu labelling. The present qualitative study explored influences on full-service restaurant customers’ noticing and using menu labelling.
DESIGN: Five focus groups were conducted with thirty-six consumers. A semi-structured script elicited barriers and facilitators to using nutrition information by showing excerpts of real menus from full-service chain restaurants.
SETTING: Participants were recruited from a full-service restaurant chain in Philadelphia, Pennsylvania, USA, in September 2011.
SUBJECTS: Focus group participants were mostly female, African American, with incomes <$US 60 000, mean age 36 years and education 14·5 years. At recruitment, 33 % (n 12) reported changing their order after seeing nutrition information on the menu.
RESULTS: Three themes characterized influences on label use in restaurants: nutrition knowledge, menu design and display, and normative attitudes and behaviours. Barriers to using labels were low prior knowledge of nutrition; displaying nutrition information using codes; low expectations of the nutritional quality of restaurant food; and restaurant discounts, promotions and social influences that overwhelmed interest in nutrition and reinforced disinterest in nutrition. Facilitators were higher prior knowledge of recommended daily intake; spending time reading the menu; having strong prior interest in nutrition/healthy eating; and being with people who reinforced dietary priorities.
CONCLUSIONS: Menu labelling use may increase if consumers learn a few key recommended dietary reference values, understand basic energy intake/expenditure scenarios and if chain restaurants present nutrition information in a user-friendly way and promote healthier items.

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Mesh:

Year:  2013        PMID: 23388204     DOI: 10.1017/S1368980013000104

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  8 in total

Review 1.  The influence of calorie labeling on food orders and consumption: a review of the literature.

Authors:  Kamila M Kiszko; Olivia D Martinez; Courtney Abrams; Brian Elbel
Journal:  J Community Health       Date:  2014-12

2.  Factors Associated with Self-Reported Menu-Labeling Usage among US Adults.

Authors:  Seung Hee Lee-Kwan; Liping Pan; Leah M Maynard; Lisa C McGuire; Sohyun Park
Journal:  J Acad Nutr Diet       Date:  2016-02-10       Impact factor: 4.910

3.  Who reports noticing and using calorie information posted on fast food restaurant menus?

Authors:  Andrew Breck; Jonathan Cantor; Olivia Martinez; Brian Elbel
Journal:  Appetite       Date:  2014-05-29       Impact factor: 3.868

Review 4.  CVD Prevention Through Policy: a Review of Mass Media, Food/Menu Labeling, Taxation/Subsidies, Built Environment, School Procurement, Worksite Wellness, and Marketing Standards to Improve Diet.

Authors:  Ashkan Afshin; Jose Penalvo; Liana Del Gobbo; Michael Kashaf; Renata Micha; Kurtis Morrish; Jonathan Pearson-Stuttard; Colin Rehm; Siyi Shangguan; Jessica D Smith; Dariush Mozaffarian
Journal:  Curr Cardiol Rep       Date:  2015-11       Impact factor: 2.931

5.  Menu-labeling usage and its association with diet and exercise: 2011 BRFSS Sugar Sweetened Beverage and Menu Labeling module.

Authors:  Kelly M Bowers; Sumihiro Suzuki
Journal:  Prev Chronic Dis       Date:  2014-01-02       Impact factor: 2.830

6.  Choosing healthier foods in recreational sports settings: a mixed methods investigation of the impact of nudging and an economic incentive.

Authors:  Dana Lee Olstad; Laksiri A Goonewardene; Linda J McCargar; Kim D Raine
Journal:  Int J Behav Nutr Phys Act       Date:  2014-01-22       Impact factor: 6.457

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

Authors:  Amy H Auchincloss; Jingjing Li; Kari Ab Moore; Manuel Franco; Mahasin S Mujahid; Latetia V Moore
Journal:  Public Health Nutr       Date:  2021-05-25       Impact factor: 4.539

8.  Associations between self-perception of weight, food choice intentions, and consumer response to calorie information: a retrospective investigation of public health center clients in Los Angeles County before the implementation of menu-labeling regulation.

Authors:  Roch A Nianogo; Tony Kuo; Lisa V Smith; Onyebuchi A Arah
Journal:  BMC Public Health       Date:  2016-01-22       Impact factor: 3.295

  8 in total

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