» Articles » PMID: 36074559

Monitoring the Nutrient Composition of Food Prepared Out-of-Home in the United Kingdom: Database Development and Case Study

Overview
Publisher JMIR Publications
Date 2022 Sep 8
PMID 36074559
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Hand transcribing nutrient composition data from websites requires extensive human resources and is prone to error. As a result, there are limited nutrient composition data on food prepared out of the home in the United Kingdom. Such data are crucial for understanding and monitoring the out-of-home food environment, which aids policy making. Automated data collection from publicly available sources offers a potential low-resource solution to address this gap.

Objective: In this paper, we describe the first UK longitudinal nutritional database of food prepared out of the home, MenuTracker. As large chains will be required to display calorie information on their UK menus from April 2022, we also aimed to identify which chains reported their nutritional information online in November 2021. In a case study to demonstrate the utility of MenuTracker, we estimated the proportions of menu items exceeding recommended energy and nutrient intake (eg, >600 kcal per meal).

Methods: We have collated nutrient composition data of menu items sold by large chain restaurants quarterly since March 2021. Large chains were defined as those with 250 employees or more (those covered by the new calorie labeling policy) or belonging to the top 100 restaurants based on sales volume. We developed scripts in Python to automate the data collection process from business websites. Various techniques were used to harvest web data and extract data from nutritional tables in PDF format.

Results: Automated Python programs reduced approximately 85% of manual work, totaling 500 hours saved for each wave of data collection. As of January 2022, MenuTracker has 76,405 records from 88 large out-of-home food chains at 4 different time points (ie, March, June, September, and December) in 2021. In constructing the database, we found that one-quarter (24.5%, 256/1043) of large chains, which are likely to be subject to the United Kingdom's calorie menu labeling regulations, provided their nutritional information online in November 2021. Across these chains, 24.7% (16,391/66,295) of menu items exceeded the UK government's recommendation of a maximum of 600 kcal for a single meal. Comparable figures were 46.4% (29,411/63,416) for saturated fat, 34.7% (21,964/63,388) for total fat, 17.6% (11,260/64,051) for carbohydrates, 17.8% (11,434/64,059) for sugar, and 35.2% (22,588/64,086) for salt. Furthermore, 0.7% to 7.1% of the menu items exceeded the maximum daily recommended intake for these nutrients.

Conclusions: MenuTracker is a valuable resource that harnesses the power of data science techniques to use publicly available data online. Researchers, policy makers, and consumers can use MenuTracker to understand and assess foods available from out-of-home food outlets. The methods used in development are available online and can be used to establish similar databases elsewhere.

Citing Articles

Public acceptability of proposals to manage new takeaway food outlets near schools: cross-sectional analysis of the 2021 International Food Policy Study.

Keeble M, Adams J, Amies-Cull B, Chang M, Cummins S, Derbyshire D Cities Health. 2024; 8(6):1094-1107.

PMID: 39635458 PMC: 11614041. DOI: 10.1080/23748834.2024.2336311.


Retailer Responses to Public Consultations on the Adoption of Takeaway Management Zones Around Schools: A Longitudinal Qualitative Analysis.

Keeble M, Chang M, Derbyshire D, White M, Adams J, Amies-Cull B Int J Health Policy Manag. 2024; 13:8294.

PMID: 39620537 PMC: 11496767. DOI: 10.34172/ijhpm.8294.


Evaluating the association between the introduction of mandatory calorie labelling and energy consumed using observational data from the out-of-home food sector in England.

Polden M, Jones A, Essman M, Adams J, Bishop T, Burgoine T Nat Hum Behav. 2024; 9(2):277-286.

PMID: 39587333 PMC: 11860223. DOI: 10.1038/s41562-024-02032-1.


The Development and Potential of a Digital out of Home Food Environment Monitoring Platform.

Hetz K, Weerasinghe N, Rippin H, Wickramasinghe K, Zhiteneva O, Usman M Nutrients. 2023; 15(18).

PMID: 37764671 PMC: 10536807. DOI: 10.3390/nu15183887.


Kilocalorie labelling in the out-of-home sector: an observational study of business practices and consumer behaviour prior to implementation of the mandatory calorie labelling policy in England, 2022.

Polden M, Jones A, Adams J, Bishop T, Burgoine T, Essman M BMC Public Health. 2023; 23(1):1088.

PMID: 37280640 PMC: 10242589. DOI: 10.1186/s12889-023-16033-8.


References
1.
Harrington R, Adhikari V, Rayner M, Scarborough P . Nutrient composition databases in the age of big data: foodDB, a comprehensive, real-time database infrastructure. BMJ Open. 2019; 9(6):e026652. PMC: 6609072. DOI: 10.1136/bmjopen-2018-026652. View

2.
Muc M, Jones A, Roberts C, Sheen F, Haynes A, Robinson E . A bit or a lot on the side? Observational study of the energy content of starters, sides and desserts in major UK restaurant chains. BMJ Open. 2019; 9(10):e029679. PMC: 6797243. DOI: 10.1136/bmjopen-2019-029679. View

3.
Theis D, Adams J . Differences in energy and nutritional content of menu items served by popular UK chain restaurants with versus without voluntary menu labelling: A cross-sectional study. PLoS One. 2019; 14(10):e0222773. PMC: 6795485. DOI: 10.1371/journal.pone.0222773. View

4.
Eyles H, Jiang Y, Blakely T, Neal B, Crowley J, Cleghorn C . Five year trends in the serve size, energy, and sodium contents of New Zealand fast foods: 2012 to 2016. Nutr J. 2018; 17(1):65. PMC: 6036696. DOI: 10.1186/s12937-018-0373-7. View

5.
Jaworowska A, Blackham T, Stevenson L, Davies I . Determination of salt content in hot takeaway meals in the United Kingdom. Appetite. 2012; 59(2):517-22. DOI: 10.1016/j.appet.2012.06.018. View