The Impact of Eating Out on Health
Study examines how restaurant meals affect calorie intake and health.
Amy Finlay, Y. Huang, J. Adams, A. Jones, R. Evans, E. Robinson
― 6 min read
Table of Contents
Eating food prepared outside the home, like fast food and restaurant meals, can lead to consuming more Calories, fat, sugar, and salt while getting fewer vitamins and minerals. Many adults in the UK who frequently eat out tend to have higher body weight and body fat. Studies show that people who eat from these places at least once a week take in 55 to 168 extra calories a day compared to those who eat out less often. This is especially troubling for children from low-income families, as they often consume more sugary drinks and energy-dense foods. Eating out may play a role in health problems connected to weight gain among these groups.
To tackle the health risks of eating out, strategies are needed to make these meals less harmful. The way menus are set up may push customers toward unhealthy options. Many restaurants and Food Outlets have lots of unhealthy choices and offer special deals that encourage people to order more. By understanding what makes certain menus high in calories, we can determine which places are better or worse for health and guide improvements in their food offerings.
One suggestion is to introduce a universal health rating for food menus, helping customers choose healthier outlets even when the offerings look similar. This could be particularly helpful for ordering food online, where customers typically see hygiene ratings and customer reviews. Researchers used expert opinions to rate various takeout places based on how healthy their menus were. They looked at menu features linked to healthiness, such as how many dessert items, salad options, and fried foods were on the menu, and how many deals or discount options were offered. This assessment resulted in a health rating scale from 0 to 5.
Using the findings from previous studies, researchers modified the health rating system and created a system that analyzes food outlets without relying on online menus. This new system uses a deep learning model that can predict how healthy a restaurant is based only on its name. Initial results show that this method can predict how healthy an outlet might be, but it hasn't yet been tested to see if it accurately reflects how many calories a person consumes when eating there.
Additionally, it’s important to look into how different aspects of a menu relate to the number of calories consumed. Research shows that having more healthy food options available leads to better food choices, and one study demonstrated that when there are more healthy meal options in supermarkets, people tend to consume less energy. While the quality of food offered by restaurants is usually lower than supermarket ready meals, there is a lack of research examining how calorie counts of menu items impact what people choose when eating out.
This study aims to figure out whether current health rating systems can predict calorie intake from various food outlets. It also seeks to discover how specific features of food menus relate to Energy Intake. In addition, the researchers will look into whether these relationships change based on participants' education levels.
The study is based on data collected from individuals who purchased food from large food outlets across different regions in England. A total of over 6,500 people participated in the research, and about 3,700 sets of data were used for the final analysis. Participants answered questions about their age, gender, ethnicity, and education level, helping to paint a picture of who the consumers are.
Food purchases were categorized based on the year, type of outlet, day of the week, and time of day. Participants reported what they purchased, which allowed for linking these items to a database that contains nutritional information. This broad data collection supports accurate results regarding the calorie content of meals.
Using established health rating systems, the researchers assigned health scores to the menus. These scores were based on various menu characteristics that experts believe contribute to overall healthiness. For example, scoring took into account how many desserts and salads were on the menu, along with the number of fried items and the variety of vegetables available. The same approach was applied to data from two different years to account for changes in menus over time.
The researchers also used a new deep learning model to analyze healthiness based on the outlet's name and location. They categorized items based on their energy content, particularly focusing on savory menu items and beverages. This classification was essential in determining the percentage of food items exceeding certain calorie counts based on health guidelines.
To analyze the data, regression models were used to examine how healthiness scores and menu characteristics relate to the number of calories consumed. The analysis looked at participant demographics and the type of outlets where purchases were made.
Overall, the study highlights the relationship between menu healthiness scores and calorie consumption. While the deep learning model did not show a direct association with energy intake, the menu health scores did. For example, as the healthiness score went up, calorie consumption decreased, particularly in fast food places and restaurants.
The research also found that certain menu features play a significant role in predicting calorie intake. A notable finding was that the number of mentions of fried foods, like chips, was positively associated with higher energy consumption. This is not surprising, considering that fried foods are often viewed as less healthy options.
The study suggests that businesses in the food sector could benefit from focusing on key menu features that encourage healthier choices. For instance, reducing high-calorie main dishes and increasing the variety of vegetables could help lower calorie intake. Implementing a health rating system in online orders could encourage consumers to make better choices.
Although many customers do not prioritize health when making food decisions, especially those from lower-income backgrounds, introducing these ratings could lead to positive changes in how people choose their meals. Further research could investigate whether these health ratings influence consumer habits and encourage food outlets to adjust their offerings.
Ultimately, this study is a step toward understanding how food outlet health ratings and individual menu features relate to calorie consumption and overall health. By focusing on improving the healthiness of menus and exploring how these changes can influence consumer behavior, we might see a positive shift in eating habits among people who frequently dine out.
Title: Associations between out of home food sector outlet menu healthiness scores, menu characteristics and energy consumed by customers in 2021-2022
Abstract: Greater consumption of food prepared outside of the home (OOH) is associated with higher energy intake. Strategies are needed to make eating OOH food less harmful to health. Identifying menu characteristics that contribute to higher energy consumption OOH could aid characterisation of OOH outlets by their relative healthiness and inform future policy intervention in the OOH food sector. Customers (N=3718) were asked to recall their food orders upon exiting a range of OOH outlets across four local authorities in England during 2021 and 2022. For each outlet, universal health rating scores were calculated based on select menu characteristics and deep learning healthiness scores were calculated based on outlet name. Random forest models and robust linear regression models clustered by outlet were used to identify whether outlet healthiness scores and individual menu characteristics were associated with kcal consumed. Universal health rating scores, but not deep learning scores, were predictive of energy consumed during OOH outlet visits (-28.27; 95% CI -44.76 to -11.77; p=.003). Menu characteristics with the greatest importance for predicting energy consumed were the percent of savoury main menu items over 600kcal and 1345kcal, the number of desserts, the number of unique vegetables, and the percent of drinks over 100kcal. Menu characteristics accounted for 29% of variance in energy consumed by customers. Universal health rating scores may be a useful tool to characterise the healthiness of OOH outlets in England. Investigating the potential impact of OOH outlet health ratings on consumer and business behaviour is now warranted.
Authors: Amy Finlay, Y. Huang, J. Adams, A. Jones, R. Evans, E. Robinson
Last Update: 2024-10-24 00:00:00
Language: English
Source URL: https://www.medrxiv.org/content/10.1101/2024.10.24.24316054
Source PDF: https://www.medrxiv.org/content/10.1101/2024.10.24.24316054.full.pdf
Licence: https://creativecommons.org/licenses/by/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
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