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Nutritional quality of children’s menus in restaurants: does cuisine type matter?

OBJECTIVE: It is unknown whether the nutritional quality of children’s menus varies depending on the cuisine type. This study aimed to investigate differences in the nutritional quality of children’s menus by cuisine type in restaurants located in Perth, Western Australia (WA). DESIGN: Cross-section...

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Autores principales: Trapp, Gina SA, Reid, Natasha, Hickling, Siobhan, Bivoltsis, Alexia, Mandzufas, Joelie, Howard, Justine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346035/
https://www.ncbi.nlm.nih.gov/pubmed/36803589
http://dx.doi.org/10.1017/S1368980023000344
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author Trapp, Gina SA
Reid, Natasha
Hickling, Siobhan
Bivoltsis, Alexia
Mandzufas, Joelie
Howard, Justine
author_facet Trapp, Gina SA
Reid, Natasha
Hickling, Siobhan
Bivoltsis, Alexia
Mandzufas, Joelie
Howard, Justine
author_sort Trapp, Gina SA
collection PubMed
description OBJECTIVE: It is unknown whether the nutritional quality of children’s menus varies depending on the cuisine type. This study aimed to investigate differences in the nutritional quality of children’s menus by cuisine type in restaurants located in Perth, Western Australia (WA). DESIGN: Cross-sectional study SETTING: Perth, WA. PARTICIPANTS: Children’s menus (n 139) from the five most prevalent restaurant cuisine types in Perth (i.e. Chinese, Modern Australian, Italian, Indian and Japanese) were assessed using the Children’s Menu Assessment Tool (CMAT; range -5–21 with lower scores denoting lower nutritional quality) and the Food Traffic Light system, evaluated against Healthy Options WA Food and Nutrition Policy recommendations. Non-parametric ANOVA was used to test for a significant difference in total CMAT scores among cuisine types. RESULTS: Total CMAT scores were low for all cuisine types (range -2–5), with a significant difference between cuisine types (Kruskal–Wallis H = 58·8, P < 0·001). The highest total CMAT score by cuisine type was Modern Australian (mean = 2·27, sd = 1·41) followed by Italian (mean = 2·02, sd = 1·02), Japanese (mean = 1·80, sd = 2·39), Indian (mean = 0·30, sd = 0·97) and Chinese (mean = 0·07, sd = 0·83). When using the Food Traffic Light for assessment, Japanese cuisine had the highest percentage of green food items (44 %), followed by Italian (42 %), Modern Australian (38 %), Indian (17 %) and Chinese (14 %). CONCLUSIONS: Overall, the nutritional quality of children’s menus was poor regardless of cuisine type. However, children’s menus from Japanese, Italian and Modern Australian restaurants scored better in terms of nutritional quality than children’s menus from Chinese and Indian restaurants.
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spelling pubmed-103460352023-08-29 Nutritional quality of children’s menus in restaurants: does cuisine type matter? Trapp, Gina SA Reid, Natasha Hickling, Siobhan Bivoltsis, Alexia Mandzufas, Joelie Howard, Justine Public Health Nutr Short Communication OBJECTIVE: It is unknown whether the nutritional quality of children’s menus varies depending on the cuisine type. This study aimed to investigate differences in the nutritional quality of children’s menus by cuisine type in restaurants located in Perth, Western Australia (WA). DESIGN: Cross-sectional study SETTING: Perth, WA. PARTICIPANTS: Children’s menus (n 139) from the five most prevalent restaurant cuisine types in Perth (i.e. Chinese, Modern Australian, Italian, Indian and Japanese) were assessed using the Children’s Menu Assessment Tool (CMAT; range -5–21 with lower scores denoting lower nutritional quality) and the Food Traffic Light system, evaluated against Healthy Options WA Food and Nutrition Policy recommendations. Non-parametric ANOVA was used to test for a significant difference in total CMAT scores among cuisine types. RESULTS: Total CMAT scores were low for all cuisine types (range -2–5), with a significant difference between cuisine types (Kruskal–Wallis H = 58·8, P < 0·001). The highest total CMAT score by cuisine type was Modern Australian (mean = 2·27, sd = 1·41) followed by Italian (mean = 2·02, sd = 1·02), Japanese (mean = 1·80, sd = 2·39), Indian (mean = 0·30, sd = 0·97) and Chinese (mean = 0·07, sd = 0·83). When using the Food Traffic Light for assessment, Japanese cuisine had the highest percentage of green food items (44 %), followed by Italian (42 %), Modern Australian (38 %), Indian (17 %) and Chinese (14 %). CONCLUSIONS: Overall, the nutritional quality of children’s menus was poor regardless of cuisine type. However, children’s menus from Japanese, Italian and Modern Australian restaurants scored better in terms of nutritional quality than children’s menus from Chinese and Indian restaurants. Cambridge University Press 2023-07 2023-02-20 /pmc/articles/PMC10346035/ /pubmed/36803589 http://dx.doi.org/10.1017/S1368980023000344 Text en © The Authors 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Short Communication
Trapp, Gina SA
Reid, Natasha
Hickling, Siobhan
Bivoltsis, Alexia
Mandzufas, Joelie
Howard, Justine
Nutritional quality of children’s menus in restaurants: does cuisine type matter?
title Nutritional quality of children’s menus in restaurants: does cuisine type matter?
title_full Nutritional quality of children’s menus in restaurants: does cuisine type matter?
title_fullStr Nutritional quality of children’s menus in restaurants: does cuisine type matter?
title_full_unstemmed Nutritional quality of children’s menus in restaurants: does cuisine type matter?
title_short Nutritional quality of children’s menus in restaurants: does cuisine type matter?
title_sort nutritional quality of children’s menus in restaurants: does cuisine type matter?
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346035/
https://www.ncbi.nlm.nih.gov/pubmed/36803589
http://dx.doi.org/10.1017/S1368980023000344
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