Next Article in Journal
Temporal Trends in Incidence of Nutritional Deficiency among Older Adults in China: A Secondary Analysis of the Global Burden of Disease Study 1990–2019
Next Article in Special Issue
Plasma FGF21 Levels Are Not Associated with Weight Loss or Improvements in Metabolic Health Markers upon 12 Weeks of Energy Restriction: Secondary Analysis of an RCT
Previous Article in Journal
Effect of Inonotus obliquus Extract Supplementation on Endurance Exercise and Energy-Consuming Processes through Lipid Transport in Mice
Previous Article in Special Issue
Differential Gene Expression of Subcutaneous Adipose Tissue among Lean, Obese, and after RYGB (Different Timepoints): Systematic Review and Analysis
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Nutrients
Volume 14
Issue 23
10.3390/nu14235010
nutrients-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Assessment of Nutritional Quality of Products Sold in University Vending Machines According to the Front-of-Pack (FoP) Guide

by
Carmen Lasala
1,2,
Antonio Durán
1,2,
Daniel Lledó
1,2 and
Jose M. Soriano
2,3,*
1
Area of Nutrition, University Clinic of Nutrition, Physical Activity and Physiotherapy (CUNAFF), Lluís Alcanyís Foundation-University of Valencia, 46020 Valencia, Spain
2
Food & Health Lab, Institute of Materials Science, University of Valencia, 46980 Paterna, Spain
3
Joint Research Unit on Endocrinology, Nutrition and Clinical Dietetics, Research Institute La Fe, University of Valencia-Health, 46026 Valencia, Spain
*
Author to whom correspondence should be addressed.
Nutrients 2022, 14(23), 5010; https://doi.org/10.3390/nu14235010
Submission received: 24 September 2022 / Revised: 18 November 2022 / Accepted: 21 November 2022 / Published: 25 November 2022
(This article belongs to the Special Issue Feature Articles on Obesity and Weight Loss Treatments)
Browse Figure
Review Reports Versions Notes

Abstract

:
The aim of this research was to assess the nutritional composition of 654 foods and beverages from vending machines on a University Campus. The guide called “Creating a front of pack nutrition label for pre-packed products sold through retail outlets” from the Department of Health (UK) was used to assess the nutritional composition and to compare values from food and beverage categories. A high proportion of food items had high–moderate content of nutrients related to chronic disease (93, 88, 74 and 49% had high–moderate content of fat, saturated fat, salt and sugar, respectively). On the other hand, a few beverages had high–moderate content of these nutrients, except for sugar (2% high to moderate in fat, 2% in saturated fat, 0% in salt and 39% in sugar). The most frequent food categories were chocolates and bars (10.6%) and breadsticks (8.4%), whereas the most available beverages were water (27.7%) and soft drinks (23.4%). There were no statistically significant differences in the proportion of categories between the health science and humanities faculties, except for energy drinks (p < 0.05) and soft drinks (p < 0.05). Vending machines contribute to an obesogenic environment and do not support healthy snacking. Recommendations in this article should be considered to develop official guidelines to ensure the wider availability of healthy dietary choices in vending machines in university settings.

1. Introduction

Excess weight is a serious public health issue with significant associated mortality. Factors that have favored a positive balance of energy and weight gain in recent decades include the progressive increase in per capita food consumption, particularly of high-calorie and ultra-processed foods; the decrease in time devoted to physical activity; and the increase in sedentary activities such as watching television or using electronic devices [1]. Obesity is considered a major risk factor for numerous chronic health problems, including cardiovascular disease, diabetes mellitus, hypertension and some types of cancer [2]. Several long-term epidemiological studies have shown that obesity is strongly associated with an increased risk of mortality [1]. In 2018, 17.4% of the Spanish population over 18 years old and 10.3% of the child population had obesity, increasing in frequency as social class decreases. If we consider obesity and overweight together, more than half of adults (54.5%) and more than a quarter of the child population (28.6%) suffer from being overweight [3]. The latest guidelines on cardiovascular prevention emphasize the promotion of healthy lifestyles, including the importance of an adequate diet and limiting the intake of salt, sugars and saturated fats, among other measures [2]. The acquisition of these healthy habits is even more important in young people since inadequate dietary patterns at an early age will have a negative impact on their health in the future [4].
Some studies have emphasized the potential role of vending machines (VMs) in eating behaviors and dietary quality as they facilitate the availability of food and beverages in schools, universities, hospitals and work settings [4,5]. Vending machine behaviors, such as vending machine accessibility and use, have been positively associated with the consumption of snacks and soft drinks [6]. Some studies have analyzed the nutritional quality of vending machine products, showing a high percentage of energy as well as fats, saturated fats, sugars and salt [4,5,6,7,8], which favors the development of overweight and obesity and, consequently, enhances the risk of suffering from chronic health problems [2]. It has been observed that the use of vending machines is higher among younger people. In 2018, in Spain, 6 out of 10 young people aged 18 to 24 reported having used vending in the last 6 months [9]. Thus, analyzing the products available in VMs provides an accurate picture of students’ intake. Consequently, improving the nutritional quality of VMs in Universities would constitute a preventive measure against cardiovascular and metabolic diseases.
Given the limited evidence regarding the nutrient content of foods sold in vending machines in Spanish Universities and their potential role in university students’ food intake and body weight, the primary aim of the current study was to assess the nutritional value of products sold in vending machines in a Spanish University campus, to establish recommendations to improve the nutritional profile of the products offered, thus increasing healthy choices.

2. Materials and Methods

2.1. Sampling and Variables

Vending machines (VMs) containing food and beverages located on a University Campus were analyzed. Two trained researchers identified fourteen VMs located on the Campus, nine from health sciences faculties (Faculty of Medicine, Psychology and Sports Sciences) and five from humanities (Faculty of History, Philology and Philosophy). Empty spaces in the VMs were not taken into account, valuing only those slots with available products. Photographs were taken to identify the products by name and weight. The information from nutrition labels and the ingredient listing from a total of 654 products identified with 120 unique product labels was compiled in an excel file by two independent researchers and included 85 types of foodstuffs classified into 11 categories (biscuits, breadsticks, candies and sweets, chewing gums, chocolates and bars, fruit, nuts, pastries, potato chips, sandwich and snacks) and 35 types of beverages in 5 categories (energy drinks, juices, milkshakes, soft drinks and water). The nutritional quality was evaluated by assessing several variables from the excel file. The study variables are food and beverage categories, nutrient content (energy, fat, saturated fat, carbohydrates, sugars, fiber, protein and salt) and proportions of products with palm oil and gluten. The nutrient content is expressed per 100 g or 100 mL and per package/bottle weight. We considered the whole package as the serving size because the purchase of these products usually entails its entire consumption on the same day.

2.2. Grouping of Food and Beverage Items

Food items were grouped into eleven categories (nuts; fruit; chocolates and bars; pastries; breadsticks, potato chips; snacks; candies and sweets; chewing gum; sandwiches; and biscuits) and beverages into five categories (water; soft drinks; milkshakes; juices and; energy drinks), according to the nature of the product.

2.3. Nutritional Profiling

Nutrient content was evaluated according to the Guide “Creating a front of pack (FoP) nutrition label for pre-packed products sold through retail outlets” [10]. Thus, products were classified as high, medium or low, considering fat, saturated fat, sugar and salt content per 100 g or 100 mL (Table 1).

2.4. Statistical Analysis

Variables were analyzed using descriptive statistics indicators (absolute frequencies, percentages, means and standard deviations). Pearson’s Chi-square test (X2) was used to evaluate the differences between qualitative variables. SPSS software was used to perform these analyses, and the results were considered statistically significant when p value < 0.05.

3. Results

The content (low, medium or high) of total fat, saturated fat, sugars and salt adjusted per 100 g of food or 100 mL of beverage was estimated, according to the FoP guide (Figure 1). In food products, high or moderate content of these nutrients was observed as predominant. Fat and saturated fat especially emerge as excessive. In contrast, very few beverage items high to moderate in these nutrients were observed, except for sugar.
More than 60% of the products offered in the VMs are beverages. The most frequent food categories found in the analyzed machines were “chocolates and bars” (10.6%) and “breadsticks” (8.4%), while the most frequent drink categories were “water” (27.7%) and “soft drinks” (23.4%). Products such as fruits, dried fruits, vegetable juices, milk and yogurts were absent. There were some differences in category distribution depending on the machine location, but they were only statistically significant for energy drinks and soft drinks (p < 0.05) (Table 2).
In addition, mean scores and standard deviation were calculated for each of the items reported in the nutritional label of the selected products in each category, per 100 g or 100 mL and per serving, expressed in grams, and their energy value, expressed in kcal (Table 3). Values per 100 g or 100 mL were also compared with those regarding the product serving size available in the VMs. Finally, the presence of palm oil-free and gluten-free products was assessed. Two out of three food products are free of palm oil. Products containing this oil are mainly in the categories of “pastries” and “chocolates and bars”. One out of three is a gluten-free food product, mainly belonging to the categories of “nuts”, “potato chips” and “candies and sweets”. All beverages were palm oil-free and gluten-free.

4. Discussion

Beverages were healthier than food products. Almost two-thirds of beverages could be considered healthy since the four nutrients associated with increased risk of chronic disease are low. One-third corresponds to unhealthy beverages, which are mainly sugar-sweetened soft drinks, energy drinks and milkshakes. Although beverages represent almost 60% of the products in VMs (Table 2), there is a wider range of food products than beverages. Only water and soft drinks account for 80% of beverage items. This aligns with consumer statistics which state that most purchased products in VMs were cold beverages, water being the leading product [9]. All VMs on the campus offer water, except for the Faculty of Philology, whose main beverage categories available were milkshakes and energy drinks, increasing the VMs’ total content of saturated fats and added sugars, respectively. Similar results have been observed in other studies [4,6,7,8,11,12,13].
There were some differences in category distribution depending on the machine location, but they were only statistically significant for energy drinks and soft drinks (p < 0.05) (Table 2). These differences can be attributed to the student’s demands and preferences. A review [14] reflected that associations between higher nutrition knowledge and dietary choices are significantly positive but weak.
A systematic review has been reported. Nutrition knowledge is a key component of health literacy [15]; therefore, health science faculties would be expected to contain a greater number of healthier categories than the humanities faculties. However, we found no evidence supporting this claim, which might be attributed to the fact that the faculties do not directly decide the products of their specific VMs, but rather the vending machine company with the people in the university in charge of this area choose the products that will be available for the whole university settings.
The type of products available should be chosen to take their inclinations into account since they are the target population. Previous studies showed that both university staff and students desire healthier vending options and expressed the need to improve the nutritional quality of the food items sold in university VMs [16,17,18,19]. Most participants in these studies reported that they would purchase healthier products if available [16,17,18,19].
Palm oil is widely used in the food industry for its chemical/physical properties, low cost and wide availability. Its widespread use has led to an intense debate about whether it is a potential hazard to human health [20]. However, given the abundance of palm oil in the market, quantifying its true association with cardiovascular diseases is challenging [21]. Therefore, the matter is not palm oil itself but the fatty-acid-rich food group to which it belongs [20]. Two out of three food products available in the VMs assessed are free of palm oil, showing a greater concern of companies and the population about the use and consumption of this type of vegetable fats. Nevertheless, it should be mentioned that the most important thing is to consume less than 7–8% of saturated fatty acids, regardless of their origin, so an overall healthy diet should be prioritized for good cardiometabolic health [20].
One out of three foodstuffs in our VMs are gluten-free, mainly belonging to the categories of nuts, potato chips and candies and sweets, which are gluten-free by nature. Gluten-free products were absent in categories such as breadsticks, biscuits, sandwiches and bars. Patients with celiac disease account for 1% of the population, and its incidence is increasing [22]. The main treatment of celiac disease is based on a gluten-free diet, with an improvement of symptoms within days or weeks, generally. Despite its effectiveness, following a gluten-free diet has numerous difficulties due to the variable quality of information regarding the gluten-free status of food ingredients [22] and their availability. Thus, traditionally wheat-based categories should integrate new gluten-free alternatives in VMs to entice and retain clients with celiac disease. Several gluten-free foodstuffs contain more fat, including saturated fat, and salt than their equivalents with gluten [23]. However, to improve their nutritional quality, wholemeal gluten-free cereals and pseudocereals with high nutritive value should replace the low-nutritional gluten-free flours [23].
From the data gathered in Table 3 and considering the set of categories available in the VMs studied, the healthiest food categories in terms of nutrient content are sandwiches (with the lowest caloric value per 100 g and a moderate content of fats, including saturated fats, and a short number of added sugars) and nuts (with monounsaturated and polyunsaturated fats but with a high salt content and fried form). This last category could be improved by offering natural or toasted nuts without added salt, fats or sugars.
On the opposite side, the least suitable categories are chocolates and bars and pastries because of their high content of energy, fat, saturated fat and sugars. The high availability of these categories are the main contributors to nutritionally poor vending machines. It should be also considered that no fresh fruit was found in any of the analyzed VMs.
In the case of beverages, the most appropriate category, and, therefore, the one that should predominate, is water, being the most purchased option by consumers as well [9]. Juices may also constitute a healthy option, provided that they are natural juices with no added sugars due to their vitamin content. The abuse of soft drinks with added sugars should be avoided, opting for those with 0% sugars, which are quite widespread among the different commercial brands increasing dental caries. If consumed excessively, they might also be detrimental to health [24].
It is convenient to consider the influence of the package or bottle size in the different categories offered in the VMs. This allows us to evaluate the amounts of nutrients being actually consumed by the clients since the purchase of these products usually entails their entire consumption on the same day.
Most food categories have a serving size between 35 and 50 g, except for pastries (80 g) and sandwiches (140 g). The most energy-dense category is pastries due to their high amount of saturated fats and sugars. Pastries should be especially decreased in VMs due to their combination of large portions and unhealthy profiles. The second-most energy-dense category is sandwiches due to their large portion, but this category has a better nutritional profile since it provides less saturated fats and sugars. However, the nutritional profile should be improved to become a healthy choice since it still contains high amounts of salt.
In the case of beverages, the bottles or cans volumes are between 200 mL and 500 mL. Thus, the amounts of nutrients are doubled and even quintupled. Consequently, vast amounts of sugar are being consumed with energy drinks, milkshakes and soft drinks. Therefore, reducing these categories will be key to improving the nutritional quality of VMs.
Table 4 reflects our proposal to improve the nutritional quality of food and drinks available in VMs. While some studies have reported that most products sold in VMs are nutritionally poor [4,5,6,7,8], these have not offered specific recommendations that can be directly applied to VMs. Other studies have provided nutritional standards to guide the selection of VM products [25,26,27,28,29].
However, no study has provided key recommendations involving categories of products and their nutritional characteristics, which are informed based on the assessment of the nutritional quality. The application of standards could increase sales of healthy vending items and reduce sales of less healthy products [30]. While it is important that recommendations and standards are followed to improve the nutritional quality of VMs, it is also crucial to remember that VMs involve a business. Therefore, a balance between nutritional quality and profitability needs to be found. More strategies modifying availability, promotion and pricing should be explored further to maximize health benefits while minimizing revenue impacts [31]. It would be interesting to determine the impact of such interventions on overall sales. A previous study carried out by our group in 2000 at the same University reflected that the consumption of snacks was 27% of total dairy energy among university students [32]. In the present manuscript, the assessment of the nutritional composition of foods and beverages from vending machines indicates that VMs could contribute to an obesogenic environment and do not support healthy snacking. Although small differences exist between health science faculties and humanities faculties in terms of food categories, these could be explained by the convenience demands of students. Thus, no relationship between health knowledge and food choices was observed.
On the other hand, the use of suggestions could help to guarantee the quality of VMs, including (i) recommendations to reduce proportions of nutrients associated with increased risk of chronic disease (NAIRCD) and (ii) recommendations to improve the nutritional profile of categories (Table 4). It will help to guarantee the improvement of the nutritional quality of vending machines. Furthermore, in our country, in 2008, the Spanish Network of Healthy Universities (REUS) [33] was created as an initiative that is part of an international strategy sponsored by the World Health Organization, which includes the CRUE (Conference of Rectors of Spanish Universities), the Ministry of Health, Social Services and Equality and the Ministry of Education, Culture and Sports. This initiative includes the ‘Specifications of technical specifications for vending machines and restaurant services’ and the ‘Declaration of universities as centers promoting health’. Currently, 55 Spanish universities are part of the network, including the University of Valencia. The use of recommendations reflected in Table 4 can help to guarantee this health initiative.

5. Conclusions

VMs should promote food categories such as fruits; natural or roasted nuts without added salt; whole-grain sandwiches, breadsticks and cereals that are low in sugar and salt. Foods made with olive oil instead of palm oil should be selected, and gluten-free alternatives should be introduced. VMs should promote beverage categories such as water, natural fruit and vegetable juices, milk, natural yogurts and sugar-free soft drinks while reducing sugar-sweetened beverages. These recommendations should be considered to develop official guidelines to improve the nutritional quality of VMs in university settings. Intervention studies should be performed to assess the implications and feasibility of these guidelines.

Author Contributions

Conceptualization, methodology, formal analysis, investigation and data curation, C.L., A.D., D.L. and. J.M.S.; writing—original draft preparation, C.L., A.D. and D.L.; writing—review and editing, J.M.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Bryce-Moncloa, A.; Alegría-Valdivia, E.; San Martin-San Martin, M.G. Obesidad y riesgo de enfermedad cardiovascular. An. Fac. Med. 2017, 78, 202–206. [Google Scholar] [CrossRef] [Green Version]
  2. Cuixart, C.B.; Bejarano, J.M.L. Nuevas guías europeas de prevención cardiovascula y su adaptación española. Aten. Primaria 2017, 49, 201–203. [Google Scholar] [CrossRef]
  3. Ministerio de Sanidad. Informe Anual del Sistema Nacional de Salud (SNS). Resumen Ejecutivo. Ministerio de Sanidad, Consumo y Bienestar Social. 2018. Available online: https://www.mscbs.gob.es/estadEstudios/estadisticas/sisInfSanSNS/tablasEstadisticas/InfAnualSNS2018/ResumenEjecutivo2018.pdf (accessed on 5 November 2021).
  4. Pasch, K.E.; Lytle, L.A.; Samuelson, A.C.; Farbakhsh, K.; Kubik, M.Y.; Patnode, C.D. Are school vending machines loaded with calories and fat: An assessment of 106 middle and high schools. J. Sch. Health 2011, 81, 212–218. [Google Scholar] [CrossRef] [Green Version]
  5. Park, H.; Papadaki, A. Nutritional value of foods sold in vending machines in a UK University: Formative, cross-sectional research to inform an environmental intervention. Appetite 2016, 96, 517–525. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Martin, R.; Sánchez, C.; Suarez, M.; García, R.; Blanco, M.; Álvarez, F. Composición nutricional de los alimentos de las vending de edificios públicos y hospitalarios de Asturias. Aten. Prim. 2018, 52, 22–28. [Google Scholar] [CrossRef] [PubMed]
  7. Raposo, A.; Carrascosa, C.; Pérez, E.; Tavares, A.; Sanjuán, E.; Saavedra, P.; Millán, R. Vending machine foods: Evaluation of nutritional composition. Ital. J. Food Sci. 2016, 28, 448–463. [Google Scholar]
  8. Grech, A.; Hebden, L.; Roy, R.; Allman-Farinelli, M. Are products sold in university vending machines nutritionally poor? A food environment audit. Nutr. Diet. 2017, 74, 185–190. [Google Scholar] [CrossRef]
  9. Asociación Nacional Española de Distribuidores Automáticos. Informe 2018. El Usuario de Máquinas Vending. Aneda Vending Website. Available online: https://aneda.org/estudio-de-mercado (accessed on 28 October 2022).
  10. Department of Health, Food Standards Agency, and Devolved Administrations in Scotland, Northern Ireland and Wales. Guide to Creating a Front of Pack (FoP) Nutrition Label for Pre-Packed Products Sold through Retail Outlets. Available online: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/566251/FoP_Nutrition_labelling_UK_guidance.pdf (accessed on 28 October 2022).
  11. Kelly, B.; Flood, V.M.; Bicego, C.; Yeatman, H. Derailing healthy choices: An audit of vending machines at train stations in NSW. Health Promot. J. Austr. 2012, 23, 73–75. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Byrd-Bredbenner, C.; Johnson, M.; Quick, V.M.; Walsh, J.; Greene, G.W.; Hoerr, S.; Colby, S.M.; Kattelmann, K.K.; Phillips, B.W.; Kidd, T.; et al. Sweet and salty. An assessment of the snacks and beverages sold in vending machines on US post-secondary institution campuses. Appetite 2012, 58, 1143–1151. [Google Scholar] [CrossRef]
  13. Lawrence, S.; Boyle, M.; Craypo, L.; Samuels, S. The food and beverage vending environment in health care facilities participating in the healthy eating, active communities program. Pediatrics 2009, 123 (Suppl. S5), S287–S292. [Google Scholar] [CrossRef] [Green Version]
  14. Spronk, I.; Kullen, C.; Burdon, C.; O’Connor, H. Relationship between nutrition knowledge and dietary intake. Br. J. Nutr. 2014, 111, 1713–1726. [Google Scholar] [CrossRef]
  15. Carbone, E.T.; Zoellner, J.M. Nutrition and health literacy: A systematic review to inform nutrition research and practice. J. Acad. Nutr. Diet. 2012, 112, 254–265. [Google Scholar] [CrossRef]
  16. Ng, K.W.; Sangster, J.; Priestly, J. Assessing the availability, price, nutritional value and consumer views about foods and beverages from vending machines across university campuses in regional New South Wales, Australia. Health Promot. J. Aust. 2019, 30, 76–82. [Google Scholar] [CrossRef] [Green Version]
  17. Ali, H.I.; Jarrar, A.H.; Abo-El-Enen, M.; Al Shamsi, M.; Al Ashqar, H. Students’ perspectives on promoting healthful food choices from campus vending machines: A qualitative interview study. BMC Public Health 2015, 15, 512. [Google Scholar] [CrossRef] [Green Version]
  18. Tam, R.; Yassa, B.; Parker, H.; O’Connor, H.; Allman-Farinelli, M. University students’ on-campus food purchasing behaviors, preferences, and opinions on food availability. Nutrition 2017, 37, 7–13. [Google Scholar] [CrossRef]
  19. Roy, R.; Soo, D.; Conroy, D.; Wall, C.R.; Swinburn, B. Exploring University Food Environment and On-Campus Food Purchasing Behaviors, Preferences, and Opinions. J. Nutr. Educ. Behav. 2019, 51, 865–875. [Google Scholar] [CrossRef]
  20. Di Genova, L.; Cerquiglini, L.; Penta, L.; Biscarini, A.; Esposito, S. Pediatric Age Palm Oil Consumption. Int. J. Environ. Res. Public Health 2018, 15, 651. [Google Scholar] [CrossRef] [Green Version]
  21. Ismail, S.R.; Maarof, S.K.; Ali, S.S.; Ali, A. Systematic review of palm oil consumption and the risk of cardiovascular disease. PLoS ONE 2018, 13, e0193533. [Google Scholar] [CrossRef] [Green Version]
  22. Lebwohl, B.; Sanders, D.S.; Green, P.H.R. Coeliac disease. Lancet 2018, 391, 70–81. [Google Scholar] [CrossRef]
  23. Epuru, S.; Al Shammary, M. Nutrition knowledge and its impact on food choices among students of Saudi Arabia. IOSR-JDMS 2014, 12, 68–74. [Google Scholar] [CrossRef]
  24. National Health and Medical Research Council. Australian Dietary Guidelines: Providing the scientific evidence for healthier Australian diets. National Health and Medical Research Council website. Available online: https://www.nhmrc.gov.au/adg (accessed on 28 October 2022).
  25. Robles, B.; Wood, M.; Kimmons, J.; Kuo, T. Comparison of nutrition standards and other recommended procurement practices for improving institutional food offerings in Los Angeles County, 2010–2012. Adv. Nutr. 2013, 4, 191–202. [Google Scholar] [CrossRef]
  26. Kocken, P.L.; van Kesteren, N.M.; Buijs, G.; Snel, J.; Dusseldorp, E. Students’ beliefs and behaviour regarding low-calorie beverages, sweets or snacks: Are they affected by lessons on healthy food and by changes to school vending machines? Public Health Nutr. 2015, 18, 1545–1553. [Google Scholar] [CrossRef] [Green Version]
  27. Gorton, D.; Carter, J.; Cvjetan, B.; Ni Mhurchu, C. Healthier vending machines in workplaces: Both possible and effective. N. Z. Med. J. 2010, 123, 43–52. [Google Scholar]
  28. Food and Nutrition Service, USDA. National School Lunch Program and School Breakfast Program: Nutrition standards for all foods sold in school as required by the Healthy, Hunger-Free Kids Act of 2010. Interim final rule. Fed. Regist. 2013, 78, 39067–39120. [Google Scholar]
  29. Martinez-Perez, N.; Arroyo-Izaga, M. Availability, Nutritional Profile and Processing Level of Food Products Sold in Vending Machines in a Spanish Public University. Int. J. Environ. Res. Public Health 2021, 18, 6842. [Google Scholar] [CrossRef]
  30. Pharis, M.L.; Colby, L.; Wagner, A.; Mallya, G. Sales of healthy snacks and beverages following the implementation of healthy vending standards in City of Philadelphia vending machines. Public Health Nutr. 2018, 21, 339–345. [Google Scholar] [CrossRef] [Green Version]
  31. Grech, A.; Allman-Farinelli, M. A systematic literature review of nutrition interventions in vending machines that encourage consumers to make healthier choices. Obes. Rev. 2015, 16, 1030–1041. [Google Scholar] [CrossRef]
  32. Soriano, J.M.; Moltó, J.C.; Mañes, J. Dietary intake and food pattern among university students. Nutr. Res. 2000, 20, 1249–1258. [Google Scholar] [CrossRef]
  33. Reus Project: Program for the Promotion of Health in University Environments. Available online: https://www.restauracioncolectiva.com/n/proyecto-reus-un-programa-por-la-promocion-de-la-salud-en-los-entornos-universitarios (accessed on 28 October 2022).
Nutrients 14 05010 g001 550
Figure 1. Percentage of foods with high, medium and low content of fats, saturated fat, sugars and salt expressed per 100 g of food product (a) and percentage of beverages with high, medium and low content of fats, saturated fat, sugars and salt expressed per 100 mL (b) in the whole campus. Classification according to the criteria in the Guide to creating a front-of-pack (FoP) nutritional label for pre-packed products sold through retail outlets.
Figure 1. Percentage of foods with high, medium and low content of fats, saturated fat, sugars and salt expressed per 100 g of food product (a) and percentage of beverages with high, medium and low content of fats, saturated fat, sugars and salt expressed per 100 mL (b) in the whole campus. Classification according to the criteria in the Guide to creating a front-of-pack (FoP) nutritional label for pre-packed products sold through retail outlets.
Nutrients 14 05010 g001
Table
Table 1. Criteria for 100 g of food (whether or not it is sold by volume) and for drinks (per 100 mL) adapted from [10].
Table 1. Criteria for 100 g of food (whether or not it is sold by volume) and for drinks (per 100 mL) adapted from [10].
TextLowMediumHigh
Colour CodeGreenAmberRed
For food
>25% of RIs>30% of RIs
Fat≤3.0 g/100 g>3.0 g to ≤17.5 g/100 g>17.5 g/100 g>21 g/portion 1
Saturates≤1.5 g/100 g>1.5 g to ≤5.0 g/100 g>5.0 g/100 g>6.0 g/portion 1
(Total) Sugars≤5.0 g/100 g>5.0 g to ≤22.5 g/100 g>22.5 g/100 g>27 g/portion 1
Salt≤0.3 g/100 g>0.3 g to ≤1.5 g/100 g>1.5 g/100 g>1.8 g/portion 1
For drinks
>12.5% of RIs>15% of RIs
Fat≤1.5 g/100 mL>1.5 g to ≤8.75 g/100 mL>8.75 g/100 mL>10.5 g/portion 2
Saturates≤0.75 g/100 mL>0.75 g to ≤2.5 g/100 mL>2.5 g/100 mL>3 g/portion 2
(Total) Sugars≤2.5 g/100 mL>2.5 g to ≤11.25 g/100 mL>11.25 g/100 mL>13.5 g/portion 2
Salt≤0.3 g/100 mL>0.3 g to ≤0.75 g/100 mL>0.75 g/100 mL>0.9 g/portion 2
RIs: Reference Intakes. 1 Portion size criteria apply to portions/serving sizes greater than 100 g. 2 Portion size criteria apply to portions/serving sizes greater than 150 mL.
Table
Table 2. Percentage of each product category (food and drinks) compared to the total number of products in each faculty and the Campus as a whole.
Table 2. Percentage of each product category (food and drinks) compared to the total number of products in each faculty and the Campus as a whole.
HumanitiesHealth SciencesCampus Totalp-Value
Biscuits4.3%2.4%3,1%0.158
Breadsticks8.3%8.5%8.4%0.919
Candies and sweets1.7%0.5%0.9%0.105
Chewing gums2.2%1.7%1.8%0.634
Chocolates and bars12.6%9.4%10.6%0.207
Energy drinks4.3%0.9%2.1%0.004 *
Fruit0.0%0.0%0.0%1
Juices3.9%5.0%4.6%0.544
Milkshakes3.0%2.8%2.9%0.877
Nuts3.0%2.1%2.4%0.467
Pastries2.6%3.5%3.2%0.520
Potato chips2.2%1.9%2.0%0.802
Sandwich0.0%1.4%0.9%0.070
Snacks5.7%6.1%6.0%0.805
Soft drinks16.1%27.4%23.4%0.001 *
Water30.0%26.4%27.7%0.328
* Significantly different (p < 0.005).
Table
Table 3. Comparison of the nutritional markers of the different categories of food and beverages per 100 g or 100 mL, respectively.
Table 3. Comparison of the nutritional markers of the different categories of food and beverages per 100 g or 100 mL, respectively.
Energy (Kcal)Fats (g/100 g/mL)SFA (g/100 g/mL)CH
(g/100 g/mL)		Sugars (g/100 g/mL)Fibra (g/100 g/mL)Protein (g/100 g/mL)Salt (g/100 g/mL)
Biscuits471.7 ± 45.422.0 ± 4.68.5 ± 6.662.5 ± 3.223.2 ± 19.75.3 ± 3.37.7 ± 1.41.4 ± 1.6
Breadsticks500.9 ± 17.425.5 ± 4.33.5 ± 2.156.6 ± 5.72.5 ± 2.83.6 ± 1.19.8 ± 1.01.8 ± 0.5
Candies and sweets368.0 ± 24.01.6 ± 1.41.0 ± 0.986.7 ± 6.456.7 ± 20.70.0 ± 0.02.6 ± 2.50.1 ± 0.1
Chewing gum155.0 ± 9.10.1 ± 0.20.0 ± 0.064.1 ± 2.80.0 ± 0.00.0 ± 0.00.0 ± 0.00.0 ± 0.0
Chocolates and bars515.2 ± 50.628.1 ± 9.516.3 ± 5.957.5 ± 10.942.8 ± 9.92.7 ± 3.37.0 ± 1.30.7 ± 1.3
Nuts566.2 ± 59.143.1 ± 12.35.3 ± 2.121.9 ± 19.97.4 ± 6.87.0 ± 3.620.1 ± 6.80.9 ± 0.8
Pastries454.5 ± 45.223.8 ± 5.214.8 ± 4.454.7 ± 3.130.6 ± 6.62.9 ± 0.54.0 ± 1.20.5 ± 0.1
Potato chips540.8 ± 16.234.2 ± 3.33.7 ± 0.649.9 ± 4.40.7 ± 0.23.1 ± 1.16.6 ± 1.21.1 ± 0.6
Sandwich256.0 ± 18.712.5 ± 1.13.2 ± 1.426.5 ± 3.43.1 ± 0.90.0 ± 0.08.6 ± 1.71.6 ± 0.3
Snacks484.7 ± 29.221.7 ± 4.52.5 ± 0.864.5 ± 3.93.2 ± 2.13.1 ± 1.46.0 ± 0.91.7 ± 0.6
Energy drinks42.0 ± 13.80.0 ± 0.00.0 ± 0.010.1 ± 3.39.8 ± 3.50.0 ± 0.00.3 ± 0.20.2 ± 0.0
Juices21.3 ± 15.10.0 ± 0.00.0 ± 0.04.6 ± 3.74.2 ± 3.20.4 ± 0.30.4 ± 0.10.0 ± 0.0
Milkshakes62.8 ± 15.61.4 ± 0.90.9 ± 0.68.8 ± 3.08.5 ± 2.90.6 ± 0.53.5 ± 0.40.2 ± 0.0
Soft drinks19.1 ± 14.60.0 ± 0.00.0 ± 0.04.6 ± 3.74.6 ± 3.70.0 ± 0.00.0 ± 0.10.0 ± 0.0
Water0.0 ± 0.00.0 ± 0.00.0 ± 0.00.0 ± 0.00.0 ± 0.00.0 ± 0.00.0 ± 0.00.00 ± 0.0
Table
Table 4. Recommendations for the improvement of the nutritional quality of vending machines.
Table 4. Recommendations for the improvement of the nutritional quality of vending machines.
Key Recommendations to Reduce Risk of Chronic Disease (NAIRCD)
Fat and saturated fatReduce food categories high in fat and saturated fat such as chocolates, pastries, snacks and potato chips. Consider reducing breadsticks and biscuits if their profile is not improved.
Promote food groups that are low in fat and especially low in saturated fat such as fruits, salads and sandwiches. Consider the promotion of natural nuts as a source of healthy fats.
SugarsReduce sugar-rich food items such as chocolates, pastries and sweets.
Promote food categories with moderate to low sugar content such as nuts, sandwiches and breadsticks if their profile is improved.
Promote water and beverages with “low sugar” and “0% added sugar” claims.
SaltReduce categories with high or moderate salt that would be mainly: breadsticks, biscuits, snacks and sandwiches, given their profile was not improved.
Promotion of the food categories with low salt content: nuts (without added salt) and fresh fruit.
Food itemsReduce fried salty nuts and introduce natural or roasted nuts without added salt. Some nuts with this profile are already present in the VMs.
Substitute chocolates and bars for whole grain bars with seeds or dried fruits, preferably low low-moderate in saturated fat.
Reduce potato chips preferably. Preference for chips fried in olive oil since it contains healthy monounsaturated fats.
Promote snacks moderate in fat (mainly with monounsaturated and polyunsaturated fats), moderate–low in saturated fat, low in sugar and preferably moderate–low in salt. No snacks were currently offered with this nutritional profile.
Introduce fresh fruits: they have high nutritional value due to their contribution of vitamins and minerals. Some high in fiber also provide satiety, which makes them an ideal snack.
Although biscuits are not advisable, it is preferable to select wholegrain biscuits with moderate-low content of saturated fat, sugar and salt.
Introduce wholegrain sandwiches and breadsticks moderate-low in salt, preferably with high proportions of nuts and seeds.
BeveragesPromote water over all other beverages. At least 60% of the drinks should be water.
Reduce soft drinks. Choose sugar-free or low in sugar options.
Promote milkshakes and juices with a higher percentage of milk, fruits and vegetables in their ingredients.
Reduce energy drinks and choose those low in sugar.
Introduce categories such as milk or yogurts with fruits and without added sugars.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Lasala, C.; Durán, A.; Lledó, D.; Soriano, J.M. Assessment of Nutritional Quality of Products Sold in University Vending Machines According to the Front-of-Pack (FoP) Guide. Nutrients 2022, 14, 5010. https://doi.org/10.3390/nu14235010

AMA Style

Lasala C, Durán A, Lledó D, Soriano JM. Assessment of Nutritional Quality of Products Sold in University Vending Machines According to the Front-of-Pack (FoP) Guide. Nutrients. 2022; 14(23):5010. https://doi.org/10.3390/nu14235010

Chicago/Turabian Style

Lasala, Carmen, Antonio Durán, Daniel Lledó, and Jose M. Soriano. 2022. "Assessment of Nutritional Quality of Products Sold in University Vending Machines According to the Front-of-Pack (FoP) Guide" Nutrients 14, no. 23: 5010. https://doi.org/10.3390/nu14235010

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop