Skip to main content

ORIGINAL RESEARCH article

Front. Nutr., 02 April 2024
Sec. Nutritional Epidemiology
This article is part of the Research Topic Nutritional Management of Childhood Obesity and Related Diseases View all 7 articles

Adolescents’ use of online food delivery applications and perceptions of healthy food options and food safety: a cross-sectional study in the United Arab Emirates

  • 1Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
  • 2Department of Nutrition and Food Technology, Faculty of Agriculture, Jordan University of Science and Technology, Irbid, Jordan
  • 3Regional Office for the Eastern Mediterranean (EMRO), World Health Organization (WHO), Cairo, Egypt
  • 4Department of Nutrition and Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
  • 5Public Health Department, College of Health Sciences, Abu Dhabi University, Abu Dhabi, United Arab Emirates
  • 6Department of Public Health Institute, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
  • 7Institute for Health and Sport, Victoria University, Melbourne, VIC, Australia
  • 8Department of Food Science and Human Nutrition, Agricultural University of Athens, Athens, Greece
  • 9Nuffield Department of Women’s & Reproductive Health, University of Oxford, Oxford, United Kingdom

Introduction: This cross-sectional study aimed to assess Online food delivery applications (OFDA) usage trends among adolescent users in the United Arab Emirates (UAE), focusing on their perceptions of healthy food options and food safety (n = 532).

Methods: Sociodemographic information, frequency of OFDA use, factors affecting food choices, and perceptions of healthy food and food safety were investigated. A total perception score was calculated for each participant;

Results: Most participants used OFDAs weekly (65.4%), favoring fast food (85.7%). Factors like appearance and price drove food choices (65.0%), while taste and cost hindered healthy food orders (29.7 and 28.2%). Younger and frequent users had lower scores for perceiving healthy food, while seeking healthy options was associated with higher scores (p < 0.05). Females and those seeking healthy food showed higher food safety scores (p < 0.05).

Discussion: The study suggests tailored interventions to promote healthier choices and improve food safety perceptions among adolescents using OFDAs in the UAE.

1 Introduction

Adolescence entails a critical period of physical, mental, and social growth as a child transitions toward adulthood (1). During this period, adolescents learn and adopt habits and choices that tend to persist into adulthood (2, 3). According to global statistics, the prevalence of overweight and obesity among children and adolescents who are 5–19 years old has more than quadrupled from 4% in 1975 to over 18% in 2016 (4). Most recent data in the UAE indicates a 29 and 35% prevalence of overweight and obesity among 4-13-year-old and 13-19-year-old children and adolescents, respectively (5, 6). Higher estimates of overweight and obesity have been reported in studies among 13-17-year-old adolescents in the national Global School-based Student Health Survey, reaching up to 55% (7). These numbers represent a serious public health issue that needs to be tackled to curb future health consequences that can persist into adulthood (8).

Numerous external factors leading to obesity have changed over the past few decades, with higher availability and accessibility of more processed and energy-dense food. The global economic landscape has significantly increased purchasing power and food availability at the individual level. The rapid proliferation of supermarkets and the exponential growth of the fast-food sector are central to this transformation, posing a dramatic impact on global eating habits (9, 10). This change has shifted diets toward a considerable reliance on ultra-processed foods high in sugars and saturated fats, effectively becoming the predominant energy source in many countries (9, 10). The flood of extensively advertised, convenient, and relatively inexpensive ultra-processed meals has significantly increased the energy level of the food supply far beyond actual population requirements (10). This surplus and a lack of nutritional alternatives encourages a diet heavy in calories, saturated fats, and added sweets, predisposing people to weight gain and the start of obesity (11). Furthermore, advancements in technology and its increasing use among the youth, and the increasingly sedentary nature of daily life have also contributed to these increasing rates (12).

Several studies in the UAE provide evidence of unhealthy food choices among this age group. One study showed that 30% of 4-13-year-olds exceeded their estimated energy requirements (5). Other studies showed that adolescents now consume more food away from home, consume fewer fruits and vegetables, and do not engage in physical activity (6, 13, 14).

Making food choices as an adolescent results from the interaction between external environmental factors and personal factors (15). This period is distinguished by increasing autonomy and a shift from spending more time with their parents to spending it with friends and peers away from home (16), resulting in a more significant influence of peers on their food choices (17). Nonetheless, profound evidence indicates that adolescents’ exposure to the marketing of food and beverages that are high in energy, fat, and sugar and their engagement with unhealthy food products on social media could take a significant toll on increasing obesity rates (18, 19).

Food environments directly link to dietary habits and health consequences, including noncommunicable diseases and obesity (20, 21). In the modern world, the digitalization of food environments has led to novel forms of acquiring foods and beverages. These include online grocery shopping and food delivery through websites or smartphone applications (22). The extensive growth of information communication technology and smartphones and the development of mobile applications have indisputably penetrated people’s lifestyles (23). Among the most popular mobile applications downloaded are mobile OFDA and statistics show that the number of users for OFDA has more than doubled from 2017 to 2022, reaching 1850 million users worldwide (24).

Smartphone applications can provide a robust medium for adolescents to acquire and adopt healthy or unhealthy food choices. Using such applications allows consumers to access and place orders from a wide range of food outlets at their convenience and to track their ordered meal till it reaches their chosen destination (25). Recent data shows that certain features of OFDA support consumers’ intention to use them, including online reviews, restaurant ratings, tracking, and price value (26). Moreover, other factors extend to certain aspects of food safety and hygiene, referred to as food delivery hygiene, which can be defined as the ability of the delivery person or company to maintain the safety and cleanliness of food delivery services (27).

Although available data on OFDA use in the Middle East is scarce, limited data indicate that adult users exhibit unhealthy dietary practices (28) and that consumers perceive the online food environment as unhealthy (29).

With the influx of food delivery applications and their mere ease of use, especially among adolescents in the digital age, delving into their usage and perceptions could yield a deeper understanding of the potential factors that shape their food choices. This may further contribute to filling knowledge gaps on personal factors and perceptions of healthy food availability in the online food environment when accessibility to such platforms is especially easy for this group.

To the best of our knowledge, there is no available data on adolescents’ OFDA usage and perceptions in the UAE, and as such, this study aims to assess the trends of OFDA usage among adolescents and investigate their perception of healthy food options and food safety through these apps.

2 Methods

2.1 Study design and participants

A cross-sectional, web-based study was carried out between January and June 2023, targeting adolescent OFDA users residing in the UAE. The inclusion criteria were adolescents aged 10 to 19 years as per the World Health Organization definition (1) and those who use OFDA at least once per month. The study participants were recruited using a convenience sampling method, allowing for better accessibility to people who satisfied the inclusion criteria within a restricted timeframe.

A sample size of 461 adolescents was determined based on the following formula with a confidence interval of 95%:

N = z 2 × P × ( 1 P ) / e 2

Where z = 1.96; P = (estimated proportion of the population that presents the characteristic) = 0.5; e (margin of error) = 0.05; N (sample size) = 384 participants. An additional 20% was added to the required sample size to account for any non-response bias or incomplete data, resulting in a target sample size of 461 participants.

Given the convenience sampling methodology employed in the study, 10 schools were contacted via email to request permission for data collection, ensuring the inclusion of at least one school in each of the seven Emirates. Of these, only three schools agreed to participate in the study (one in each of the three highly populated emirates: Abu Dhabi, Dubai, and Sharjah). A web link connecting to the online survey was sent to the administration and distributed to the students. While efforts were made to approach a wide array of schools, the participation of schools was voluntary, leading to variations in the distribution across emirates based on their willingness to participate and student and parent engagement. In addition, the web link was also shared via email invitations, with the contact lists being gathered from personal and professional contacts of the research team, including colleagues, friends, and family members, to disseminate among the target group to ensure a wider distribution and recruitment of participants from other emirates.

Parental consent was obtained through an online informed consent form, where parents were provided with detailed information about the study and asked if they agreed to their child’s participation. Upon their approval, adolescents were provided with a simplified explanation of the study and asked to provide their consent assent before completing the survey. Participants were also informed that only one response would be accepted using the link. This restriction was enforced by the survey platform as only one response was allowed from each device to ensure data integrity. No personal information was collected during the survey to ensure confidentiality, and participants were assured that their responses would remain anonymous and would not affect their academic standing or relationships within the school community.

This study was conducted following the guidelines in the Declaration of Helsinki. All procedures involving human subjects/patients were approved by the University of Sharjah Research Ethics Committee (REC-22-02-16-09-S). The online form eased the consent process by presenting participants with an electronic consent form detailing the study’s goal, methods, potential risks, and benefits. Before advancing to the survey questions, participants were requested to indicate their affirmative approval by clicking a marked ‘I agree’ button. All participants provided an electronic written informed consent before answering the survey questions.

2.2 Survey questionnaire and data collection

The survey used in this study was adapted from a previous tool developed by the research team and validated for use among adults (30). The original survey included 27 close-ended questions using Likert-scale, dichotomous, multiple choice, and checklist format (30). In the present study, some questions were omitted, while others were included to tailor the questionnaire for the present study population. These adjustments aligned the survey with the experiences and demographic characteristics pertinent to adolescents. For instance, some of the questions added were if the mother works outside the home and if, when using OFDA, a healthy or homemade meal is usually available at home. These questions were added to gain insights into the participants’ experiences and the possible impact of having a mother working outside on the frequency of using the apps.

The final version of the survey used in this study consisted of five sections. The first section focused on sociodemographic information, asking about sex, age, the emirate of residence, daily allowance, and maternal employment status. The selection of these factors was essential to describe the study population and their influence on food habits and choices.

The second section inquired about OFDA usage trends and explored participants’ behavior, inquiring about the frequency of OFDA use, most frequently used apps, the predominant type of food ordered (culinary styles or preferences), factors affecting food choices, and whether participants looked for healthy food options. The following section explored participants’ perceptions of healthy food and their concerns when choosing healthy options. These questions were chosen for their direct relevance to understanding participants’ decision-making when ordering meals online.

The last two sections comprised seven questions in each section and were employed to understand participants’ perspectives on healthy food ordering, food safety, and delivery cleanliness using OFDA platforms. The questions used a 5-point Likert scale (response options: 1: strongly disagree, 2: disagree, 3: neutral, 4: agree, 5: strongly agree). Participant responses were recorded and were grouped into three categories (agree, neutral, and disagree) for descriptive analysis. In addition, a score ranging from 7 to 35 was calculated for each participant for inferential analysis.

2.3 Data analysis

Descriptive statistics, such as frequencies and percentages, were used to summarize the demographic characteristics of the participants, their OFDA use, perception of a healthy meal, and perceptions of healthy food ordering and food safety and hygiene via OFDA. Data distribution was assessed using the Shapiro–Wilk’s test, which indicated a non-normal distribution (p < 0.05). Therefore, non-parametric tests and median and interquartile ranges (IQR) were used to analyze and describe the data. The frequency of using OFDAs was categorized into a dichotomous variable where frequent use corresponds to response options: daily, 4–6 times/week, and 2–3 times/week; infrequent use corresponds to response options: once/week and once/month. A total healthy food perception score was calculated for each participant based on their responses to the seven perception items by summing their responses. The score could range from 7 to 35, with a higher score indicating a more positive perception toward healthy food on OFDA. A reverse scale was used for negative-worded items “I often find it difficult to find healthy food choices on food apps,”

“I feel that ordering online from food apps has increased my food intake and appetite,” and “Using online food delivery applications has changed my eating habits (for example: having late night meals, eating alone).” In addition, a total food safety score was calculated similarly, with a higher score indicating more food safety-inclined perceptions. During the data analysis, the score was transformed using a minimum-maximum scaling approach to normalize the data and convert it to a percentage (out of 100). Differences in the perception of healthy food on OFDA and food safety and hygiene according to sociodemographic characteristics and OFDA use were explored using the Mann–Whitney U and Kruskal-Wallis H tests. Pairwise comparisons were conducted to indicate which groups significantly differed from each other. A general linear model analysis was performed to investigate whether certain characteristics (independent variables) can predict the perceptions of healthy food perception and food safety and hygiene scores (score as dependent variable). p values at <0.05 were considered statistically significant. Data were analyzed using SPSS software, version 26.0 (SPSS, Chicago, IL, United States).

3 Results

3.1 Study participants’ characteristics

A total of 532 adolescents participated in the study comprised of 325 females (61.2%) and 207 (38.9%), as shown in Table 1. Most participants were between 17 and 19 years old (40.6%), followed by younger adolescents who were between 14 and 16 years old (35.2%). Most participants lived in Sharjah (32.7%), followed by Abu Dhabi (27.3%). Around a third of the participants had a daily allowance of <25 AED (~7 USD; 37.8%), and 60.5% of the participants reported that their mothers were not employed.

Table 1
www.frontiersin.org

Table 1. Sociodemographic characteristics of the study participants (n = 532).

3.2 Use of OFDA and healthy food ordering

Most participants reported using OFDA once per week (35.9%) or 2–3 times per week (29.5%), as shown in Table 2. Approximately three-quarters of the participants reported that there is either always or sometimes food available at home when ordering through OFDA (30.1 and 42.7%, respectively). Figure 1 illustrates the trends of OFDA use among the study participants, where 447 participants reported using Talabat (84.0%), and 456 participants reported mostly ordering fast food (85.7%), followed by 229 participants ordering international cuisines (43.0%) and 190 participants preferring local cuisines (35.7%).

Table 2
www.frontiersin.org

Table 2. Use of OFDA and healthy food ordering among the study participants (n = 532).

Figure 1
www.frontiersin.org

Figure 1. Trends of OFDA among study participants (n = 532). (A) Most OFDA used (Multiple responses were allowed; others include Uber Eats, Eat Clean me, EatEasy, Careem now, Carriage, and restaurant apps); (B) Most ordered cuisine. (Multiple responses were allowed); (C) Factors affecting food choice on OFDA among participants; (D) Perception of a healthy meal when using OFD applications among participants; Multiple responses were allowed.

When asked about factors affecting their food choices, most participants were affected by appearance and price (~65%), followed by delivery time (44.7%). Only 20.7% of the participants reported always looking for healthy food options, while 40.0% reported sometimes doing so on OFDA. The most reported concern regarding healthy food ordering was taste (29.7%) and high price (28.2%). When asked about their perception of a healthy meal, almost half of the participants perceived a meal that is low in fat, low in calories, has a variety of vegetables, or is rich in protein (46.1–51.3%).

3.3 Perceptions of healthy food on OFDA

Figure 2 shows participants’ agreement on seven statements about placing healthy food orders through OFDA. The participants’ responses were grouped into agree, neutral, and disagree. Two hundred and eighty-four participants (53.4%) agreed on the difficulty of finding healthy food options on OFDA, 263 agreed that the OFDA increased their food intake and appetite (49.4%), while 258 agreed that their eating habits were affected by OFDA (48.5%), specifically in terms of consuming more late-night snacks or eating alone. A lesser proportion of the participants agreed that OFDA made them aware of healthier food alternatives (31.0%), that having calorie and macronutrient content displayed on OFDA might affect their food choices (28.8 and 27.6%), and that they are willing to pay higher prices for healthier food options on OFDA (26.7%).

Figure 2
www.frontiersin.org

Figure 2. Perceptions of healthy food ordering through the OFD applications (n = 532).

3.4 Perceptions of food safety and delivery hygiene

Figure 3 shows participants’ agreement to several statements related to food safety and hygiene of food delivery. Most of the participants agreed that the temperature of the meal upon delivery is a good indicator of both the quality and safety of the food (86.8 and 72.3%, respectively). A similar proportion agreed hygiene ratings would be useful when ordering food (82.1%). Additionally, 68.8% of participants agreed that the driver’s cleanliness and neatness impacted their perception of the meal’s hygiene. Moreover, around 60% agreed that food available through the OFDA was prepared and delivered under sanitary conditions and that packaging influences food choices. Less than half of the participants (44.0%) agreed that using environmentally friendly packaging influences their food choices.

Figure 3
www.frontiersin.org

Figure 3. Perceptions of food safety and delivery hygiene through the OFD applications (n = 532).

3.5 Differences in perception of healthy food and food safety on OFDA

Table 3 presents the differences in the study participants’ perceptions of healthy food, food safety, and hygiene scores. The analysis indicated a significant difference in food safety and hygiene scores (p < 0.001), with females having higher scores than males. However, no significant difference in healthy food perception was observed. Moreover, individuals who actively look for healthy food have significantly higher perceptions of healthy food and food safety compared to those who do not actively seek healthy food. Specifically, those who actively seek healthy food have higher healthy food perception scores (p < 0.001) and higher food safety scores (p = 0.012). The pairwise comparisons further highlight the significance between different groups regarding healthy food perception and food safety scores, specifically emphasizing the impact of actively seeking healthy food on both perceptions.

Table 3
www.frontiersin.org

Table 3. The difference in perception of healthy food on OFDA and food safety and hygiene scores (out of 100) according to sociodemographic characteristics and OFDA use (n = 532).

3.6 Association between the healthy food perception and food safety and hygiene scores and participants’ characteristics

Table 4 shows the association between several sociodemographic and OFDA use and the healthy food perception score using general linear model analyses. The analysis revealed that the healthy food perception score was significantly lower by 2.6 and 1.9% among younger participants aged 10 to 13 years and frequent users (B = −2.6, 95% CI: −4.8–−0.3, p = 0.026) and (B = −1.9, 95% CI: −3.7–−0.1, p = 0.038) respectively. On the other hand, having a working mother and reporting looking for healthy food was associated with a 1.8 and 5.8% significantly higher score (B = 1.8, 95% CI:0.1–3.6, p = 0.043) and (B = 5.8, 95% CI:3.5–8.2, p < 0.001) respectively.

Table 4
www.frontiersin.org

Table 4. Association between the healthy food perception and food safety and hygiene scores (out of 100%) and participants’ characteristics (n = 532).

Regarding the food safety and hygiene score, the analysis revealed that the score was significantly lower by 2.2% among males compared to females (B = −2.2, 95% CI: −3.8–−0.7, p = 0.005). On the other hand, looking for healthy food was associated with a 2.7% significantly higher score (B = 2.7, 95% CI:0.7–4.7, p = 0.008).

4 Discussion

The present study provided valuable insights into perceptions of healthy food and food safety and hygiene through OFDA among a sample of adolescent OFDA users in the UAE. Less than half (43.0%) of the participants were frequent users of OFDA (2 times or more/week). This frequency was higher than that of Jordanian adults (35.7%), college students in Malaysia (18.3%), and Brazilian adults (10.0%) (2931). Among the several OFDA platforms available, Talabat was the most popular choice among our participants, perhaps due to its established popularity and performance in the country and the region (32). Moreover, in the current study, fast food was the dominant choice for orders via OFDA, highlighting adolescents’ tendency toward palatable, convenient, and readily available choices. This is supported by studies in China and Australia, where fast-food outlets comprised 65 and 54% of the available food outlets through OFDA (33, 34).

Available literature points out the adverse impacts of an unhealthy food environment around schools and reveals increased discretionary food purchasing (35) and positive associations with children’s weight status (36). Our findings highlight the need to consider not only food environments around schools but also the threats of the digital food environment, which has facilitated obtaining unhealthy food items with just a few clicks (37).

In the current study, visual appeal and affordability were key drivers for adolescents in making their food choices through OFDA. Similarly, a Polish study on food choices revealed that sensory appeal and price were the prominent drivers of food choice among adolescents (38). In our study, most adolescents reported looking for healthy food options either always or sometimes. This is a favorable find as it indicates a possible growing interest in healthy eating habits among this group. Taste and high prices emerged as key issues regarding healthy food ordering in our sample. This creates a paradox for adolescents, because while healthy food can be available on these apps, the prices are usually outside their budget (39), which can cost up to twice as much as unhealthy food (40). When adolescents buy their food, individual budgetary limitations might influence their food choices, with many food selections being based on meal deals or special food offers (39).

A study published by Fleming et al., including over 600 adolescents from 18 countries globally, revealed that while adolescents were somewhat aware of what a healthy diet is, several factors shape their food options and compromise their intake. Identified factors included taste, cost, and availability of healthy food options which remain barriers limiting their ability to make informed choices (41). Therefore, understanding these food choice drivers may help promote healthy food intake and limit the tendency toward unhealthy food options.

Research shows that adolescents perceive healthy eating to encompass moderation, balance, and variety (42). Perceptions of a healthy meal varied in the present study, with almost half of the participants associating healthiness with low fat, low calories, a variety of vegetables, and rich in protein. On the other hand, perceptions of small portion sizes and low carbohydrates as indicators of healthiness were less reported by our participants. These findings highlight the variable comprehension regarding healthy food among adolescent OFDA users, underscoring the importance of connecting how consumers view healthy eating and investigating their subsequent behaviors to advocate for improved dietary quality (43). Moreover, future research should also look into how adolescents perceive their body weight, which may impact how they eat and their food choices (44, 45).

In this study, perceptions of healthy food on OFDA were investigated, and the findings revealed that almost half of the participants agreed that it is difficult to find healthy options and that their food intake and eating habits have changed after using these apps. The findings point out the well-established lack of availability and the visibility of healthy options through these apps (33, 46).

Further analysis in our study revealed that actively seeking healthy food may positively impact perceptions of healthy food. Therefore, boosting the visibility and the number of healthy food options and implementing calorie declaration beside food items could be effective strategies to enhance the healthiness of people’s food options. Moreover, educating the public on healthy eating can help mitigate the adverse impacts on eating habits associated with using these apps (37, 47). Moreover, in the present study, certain factors, such as older age, less frequent usage, and looking for healthy food options, aligned with a more positive perception of healthy food on OFDA. This suggests that with age, adolescents may gain a better understanding of healthy eating. In addition, given that less frequent users had more positive perceptions of healthy food on these platforms, calling for highlighting the negative impacts of frequent consumption of food away from home and the increased exposure to mostly nutrient-poor and energy-dense foods that may distort their perceptions of healthy food on these apps (48).

In this study, participants mostly agreed on the importance of the temperature of food when delivered as an indicator of the quality and safety of food and the importance of the driver’s cleanliness and demeanor on their perception of the food’s hygiene. These findings highlight the importance of these food delivery hygiene aspects among adolescents, consistent with other studies showing that consumers are concerned about these issues when eating away from home (49, 50). Further analysis in this study revealed that females and those who actively look for healthy options had higher food safety perception scores regarding food safety and hygiene. These findings are supported by research showing that females tend to be more aware and vigilant when choosing safe and hygienic restaurants (51). Moreover, from a restaurant/provider perspective, guaranteeing adherence to food safety regulations and translating this into all food delivery stages can help increase consumers’ trust and recurring ordering (52).

The use of OFDA is becoming more prevalent, with increased use among the youth, given the advancements in technology and current ease of accessibility, raising concerns regarding their potential impact on public health outcomes and their alignment with Sustainable Development Goals (SDGs). While direct evidence linking OFDA to health and nutrition outcomes remains scarce, these platforms play an indirect role by providing convenient access to food (53). Existing research emphasizes the importance of examining the relationship between OFDA and the prevalence of non-communicable diseases (NCDs). Studies have revealed that many menu items available on OFDA fail to meet recommendations for healthy eating, with high levels of saturated fats, trans-fats, free sugars, and salt posing risks for NCDs (46, 54). Concerns are further raised by evidence showing that food options from OFDA tend to contain significantly more calories compared to retail products, potentially contributing to overconsumption and subsequent weight gain (20, 21). Moreover, from an environmental perspective, food ordered from OFDA often comes with high amounts of plastic packaging, such as containers, utensils, and bags, which are disposable and demand considerable energy and resources for production, transportation, and disposal contributing to environmental harm (5557). However, amidst these concerns, to pave the way toward creating healthier digital food environments, it is suggested that these platforms provide and promote the purchasing of healthy and sustainable food options (58). In addition, researchers suggest collaborative efforts involving reforms in the food industry, coordinated public health communication, and ongoing monitoring of the expanding influence of OFDA could contribute to addressing various interconnected issues such as sustainability, environmental health, and health (59).

To our knowledge, this is the first study to investigate the trends of OFDA usage among adolescent users and their perceptions of healthy food ordering. Despite the cross-sectional design being suitable to fulfill the study objectives, several limitations should be acknowledged. The use of a self-reported questionnaire may lead to social desirability bias or misreporting of data. Moreover, the use of convenience sampling due to difficulties in accessing and recruiting this specific subset of adolescents within a limited timeframe may have limited the generalizability of findings beyond the subset of adolescents who already use OFDA regularly, potentially introducing sampling bias. In addition, the responses were dependent on voluntary participation, which may have led to variations in the representativeness of the different emirates. Moreover, the narrow focus on adolescents who use these apps more frequently may have limited the generalizability and understanding of OFDA use of the broader adolescent population in the country.

5 Conclusion

The study highlights the challenges in healthy food accessibility and the use of OFDA among young users. The findings highlight unfavorable food choices among adolescent users, with appearance and price as the main drivers for food choices. It also sheds light on their perceptions of healthy food and their concerns regarding healthy food ordering. These findings highlight critical links between OFDA usage patterns, food choice motivations, and views among adolescents, pushing for tailored interventions to promote healthier food choices and improve food safety perceptions. To date, the actual impact of OFDA on health remains unclear. However, research is focusing on the digital food environment and how it can be used to improve people’s dietary habits and overall well-being. Moreover, a holistic and sustainable approach is necessary, considering the SDGs, current environmental and economic constraints, and the complex influences on behavior. Collaboration among OFDA platforms, food vendors, and regulators can promote the availability of healthy, sustainable options, incentivize eco-friendly practices, and implement pricing strategies to enhance affordability. Education campaigns and regulatory measures can raise awareness and create a supportive environment for healthy choices. Ultimately, ongoing research and evaluation efforts are essential to understand the long-term impacts of these interventions and ensure their effectiveness in promoting sustainable dietary behaviors among adolescents.

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found at: https://figshare.com/s/9471b272877522041f79.

Ethics statement

The studies involving humans were approved by University of Sharjah Research Ethics Committee (REC-22-02-16-09-S). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants’ legal guardians/next of kin.

Author contributions

SS: Conceptualization, Formal analysis, Investigation, Writing – original draft, Writing – review & editing. TO: Conceptualization, Methodology, Writing – review & editing. AA-J: Writing – review & editing. HH: Writing – review & editing. MH: Writing – review & editing. MM: Formal analysis, Methodology, Writing – original draft, Writing – review & editing. SQ: Investigation, Writing – review & editing. HS: Writing – review & editing. RD: Investigation, Writing – review & editing. RR: Investigation, Writing – review & editing. EM: Formal analysis, Writing – review & editing. LS: Writing – review & editing. DP: Writing – review & editing. AZ: Writing – review & editing. AD: Writing – review & editing. HK: Investigation, Writing – original draft. LCI: Conceptualization, Methodology, Supervision, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Acknowledgments

The authors wish to thank all those who helped in administering the survey and all those who participated in this study.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. World Health Organization, Adolesc Health, (2023). Available at: https://www.who.int/health-topics/adolescent-health/#tab=tab_1 (Accessed January 4, 2023)

Google Scholar

2. Neumark-Sztainer, D, Wall, M, Larson, NI, Eisenberg, ME, and Loth, K. Dieting and disordered eating behaviors from adolescence to young adulthood: findings from a 10-year longitudinal study. J Am Diet Assoc. (2011) 111:1004–11. doi: 10.1016/j.jada.2011.04.012

PubMed Abstract | Crossref Full Text | Google Scholar

3. Patton, GC, Sawyer, SM, Santelli, JS, Ross, DA, Afifi, R, Allen, NB, et al. Our future: a lancet commission on adolescent health and wellbeing. Lancet. (2016) 387:2423–78. doi: 10.1016/S0140-6736(16)00579-1

PubMed Abstract | Crossref Full Text | Google Scholar

4. World Health Organization. Obesity and overweight. (2021). Available at: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight (Accessed April 4, 2022).

Google Scholar

5. Hwalla, N, Chehade, L, O’Neill, LM, Kharroubi, S, Kassis, A, Cheikh Ismail, L, et al. Total usual nutrient intakes and nutritional status of United Arab Emirates children (4 years–12.9 years): findings from the kids nutrition and health survey (KNHS) 2021. Nutrients. (2023) 15:234. doi: 10.3390/nu15010234

PubMed Abstract | Crossref Full Text | Google Scholar

6. Baniissa, W, Radwan, H, Rossiter, R, Fakhry, R, Al-Yateem, N, Al-Shujairi, A, et al. Prevalence and determinants of overweight/obesity among school-aged adolescents in the United Arab Emirates: a cross-sectional study of private and public schools. BMJ Open. (2020) 10:e038667. doi: 10.1136/bmjopen-2020-038667

PubMed Abstract | Crossref Full Text | Google Scholar

7. World Health Organization. Global school-based student health survey 2016—United Arab Emirates, (2016).

Google Scholar

8. Guo, SS, Wu, W, Chumlea, WC, and Roche, AF. Predicting overweight and obesity in adulthood from body mass index values in childhood and adolescence. Am J Clin Nutr. (2002) 76:653–8. doi: 10.1093/ajcn/76.3.653

Crossref Full Text | Google Scholar

9. Zobel, EH, Hansen, TW, Rossing, P, and von Scholten, BJ. Global changes in food supply and the obesity epidemic. Curr Obes Rep. (2016) 5:449–55. doi: 10.1007/s13679-016-0233-8

PubMed Abstract | Crossref Full Text | Google Scholar

10. Hall, KD. From dearth to excess: the rise of obesity in an ultra-processed food system. Philos Trans R Soc B. (2023) 378:20220214. doi: 10.1098/rstb.2022.0214

PubMed Abstract | Crossref Full Text | Google Scholar

11. Verde, L, Frias-Toral, E, and Cardenas, D. Editorial: environmental factors implicated in obesity. Front Nutr. (2023) 10. doi: 10.3389/fnut.2023.1171507

PubMed Abstract | Crossref Full Text | Google Scholar

12. Al Amiri, E, Abdullatif, M, Abdulle, A, Al Bitar, N, Afandi, EZ, Parish, M, et al. The prevalence, risk factors, and screening measure for prediabetes and diabetes among Emirati overweight/obese children and adolescents. BMC Public Health. (2015) 15:1–9 doi: 10.1186/s12889-015-2649-6

Crossref Full Text | Google Scholar

13. Abdullatif, M, AlAbady, K, Altheeb, A, Rishmawi, F, Jaradat, H, and Farooq, S. Prevalence of overweight, obesity, and dietary behaviors among adolescents in Dubai schools: a complex design survey 2019. Dubai Med J. (2022) 5:1–9. doi: 10.1159/000519863

Crossref Full Text | Google Scholar

14. Haroun, D, ElSaleh, O, and Wood, L. Dietary and activity habits in adolescents living in the United Arab Emirates: a cross-sectional study. Arab J Nutrit Exercise (AJNE). (2017) 85:1226. doi: 10.18502/ajne.v1i2.1226

Crossref Full Text | Google Scholar

15. Ziegler, AM, Kasprzak, CM, Mansouri, TH, Gregory, AM, Barich, RA, Hatzinger, LA, et al. An ecological perspective of food choice and eating autonomy among adolescents. Front Psychol. (2021) 12:1098. doi: 10.3389/fpsyg.2021.654139

Crossref Full Text | Google Scholar

16. Smetana, JG, Campione-Barr, N, and Metzger, A. Adolescent development in interpersonal and societal contexts. Annu Rev Psychol. (2006) 57:255–84. doi: 10.1146/annurev.psych.57.102904.190124

PubMed Abstract | Crossref Full Text | Google Scholar

17. Salvy, SJ, de la Haye, K, Bowker, JC, and Hermans, RC. Influence of peers and friends on children's and adolescents' eating and activity behaviors. Physiol Behav. (2012) 106:369–78. doi: 10.1016/j.physbeh.2012.03.022

PubMed Abstract | Crossref Full Text | Google Scholar

18. Norman, J, Kelly, B, Boyland, E, and McMahon, A-T. The impact of marketing and advertising on food Behaviours: evaluating the evidence for a causal relationship. Current Nutrition Reports. (2016) 5:139–49. doi: 10.1007/s13668-016-0166-6

PubMed Abstract | Crossref Full Text | Google Scholar

19. Fleming-Milici, F, and Harris, JL. Adolescents' engagement with unhealthy food and beverage brands on social media. Appetite. (2020) 146:104501. doi: 10.1016/j.appet.2019.104501

PubMed Abstract | Crossref Full Text | Google Scholar

20. Vadiveloo, MK, Sotos-Prieto, M, Parker, HW, Yao, Q, and Thorndike, AN. Contributions of food environments to dietary quality and cardiovascular disease risk. Curr Atheroscler Rep. (2021) 23:14. doi: 10.1007/s11883-021-00912-9

PubMed Abstract | Crossref Full Text | Google Scholar

21. Gamba, RJ, Schuchter, J, Rutt, C, and Seto, EY. Measuring the food environment and its effects on obesity in the United States: a systematic review of methods and results. J Community Health. (2015) 40:464–75. doi: 10.1007/s10900-014-9958-z

PubMed Abstract | Crossref Full Text | Google Scholar

22. Granheim, SI, Løvhaug, AL, Terragni, L, Torheim, LE, and Thurston, M. Mapping the digital food environment: a systematic scoping review. Obes Rev. (2022) 23:e13356. doi: 10.1111/obr.13356

PubMed Abstract | Crossref Full Text | Google Scholar

23. Ismagilova, E, Hughes, L, Dwivedi, YK, and Raman, KR. Smart cities: advances in research—an information systems perspective. Int J Inf Manag. (2019) 47:88–100. doi: 10.1016/j.ijinfomgt.2019.01.004

Crossref Full Text | Google Scholar

24. STATISTA. Online food delivery – worldwide. (2023). Available at: https://www.statista.com/outlook/dmo/online-food-delivery/worldwide#revenue (Accessed May 5, 2024).

Google Scholar

25. Marriott, HR, Williams, MD, and Dwivedi, YK. What do we know about consumer m-shopping behaviour? Int J Retail and Distribution Manag. (2017) 45:568–86. doi: 10.1108/IJRDM-09-2016-0164

PubMed Abstract | Crossref Full Text | Google Scholar

26. Alalwan, AA. Mobile food ordering apps: an empirical study of the factors affecting customer e-satisfaction and continued intention to reuse. Int J Inf Manag. (2020) 50:28–44. doi: 10.1016/j.ijinfomgt.2019.04.008

Crossref Full Text | Google Scholar

27. Al Amin, M, Arefin, MS, Alam, MR, Ahammad, T, and Hoque, MR. Using mobile food delivery applications during COVID-19 pandemic: an extended model of planned behavior. J Food Prod Mark. (2021) 27:105–26. doi: 10.1080/10454446.2021.1906817

Crossref Full Text | Google Scholar

28. Almansour, FD, Allafi, AR, Zafar, TA, and Al-Haifi, AR. Consumer prevalence, attitude and dietary behavior of online food delivery applications users in Kuwait. Acta Biomedica Atenei Parmensis. (2020) 91:14 doi: 10.23750/abm.v91i4.8543

Crossref Full Text | Google Scholar

29. Eu, EZR, and Sameeha, MJ. Consumers' perceptions of healthy food availability in online food delivery applications (OFD apps) and its association with food choices among public university students in Malaysia. Front Nutr. (2021) 8:674427. doi: 10.3389/fnut.2021.674427

PubMed Abstract | Crossref Full Text | Google Scholar

30. Osaili, TM, Al-Nabulsi, AA, Taybeh, AO, Cheikh Ismail, L, and Saleh, ST. Healthy food and determinants of food choice on online food delivery applications. PloS One. (2023) 18:e0293004. doi: 10.1371/journal.pone.0296114

PubMed Abstract | Crossref Full Text | Google Scholar

31. Zanetta, LDA, Hakim, MP, Gastaldi, GB, Seabra, LMAJ, Rolim, PM, Nascimento, LGP, et al. The use of food delivery apps during the COVID-19 pandemic in Brazil: the role of solidarity, perceived risk, and regional aspects. Food Res Int. (2021) 149:110671. doi: 10.1016/j.foodres.2021.110671

PubMed Abstract | Crossref Full Text | Google Scholar

32. Talabat. Talabat - About us. (2023). Available at: https://www.talabat.com/uae/about-us (Accessed April 24, 2024).

Google Scholar

33. Maimaiti, M, Ma, X, Zhao, X, Jia, M, Li, J, Yang, M, et al. Multiplicity and complexity of food environment in China: full-scale field census of food outlets in a typical district. Eur J Clin Nutr. (2020) 74:397–408. doi: 10.1038/s41430-019-0462-5

PubMed Abstract | Crossref Full Text | Google Scholar

34. Partridge, SR, Gibson, AA, Roy, R, Malloy, JA, Raeside, R, Jia, SS, et al. Junk food on demand: a cross-sectional analysis of the nutritional quality of popular online food delivery outlets in Australia and New Zealand. Nutrients. (2020) 12:3107. doi: 10.3390/nu12103107

PubMed Abstract | Crossref Full Text | Google Scholar

35. Trapp, GSA, Hooper, P, Thornton, L, Kennington, K, Sartori, A, Hurworth, M, et al. Association between food-outlet availability near secondary schools and junk-food purchasing among Australian adolescents. Nutrition. (2021) 91-92:111488. doi: 10.1016/j.nut.2021.111488

PubMed Abstract | Crossref Full Text | Google Scholar

36. Smets, V, and Vandevijvere, S. Changes in retail food environments around schools over 12 years and associations with overweight and obesity among children and adolescents in Flanders. Belgium BMC Pub Heal. (2022) 22:1570. doi: 10.1186/s12889-022-13970-8

PubMed Abstract | Crossref Full Text | Google Scholar

37. World Health Organization. Digital food environments. Demark: WHO European Office for the Prevention and Control of Noncommunicable Diseases (2021).

Google Scholar

38. Głąbska, D, Skolmowska, D, and Guzek, D. Population-based study of the changes in the food choice determinants of secondary school students: polish adolescents’ COVID-19 experience (PLACE-19) study. Nutrients. (2020) 12:2640. doi: 10.3390/nu12092640

PubMed Abstract | Crossref Full Text | Google Scholar

39. Kelly, C, Callaghan, M, and Gabhainn, SN. ‘It’s hard to make good choices and it costs more’: adolescents’ perception of the external school food environment. Nutrients. (2021) 13:1043. doi: 10.3390/nu13041043

PubMed Abstract | Crossref Full Text | Google Scholar

40. Kern, DM, Auchincloss, AH, Stehr, MF, Roux, AVD, Moore, LV, Kanter, GP, et al. Neighborhood prices of healthier and unhealthier foods and associations with diet quality: evidence from the multi-ethnic study of atherosclerosis. Int J Environ Res Public Health. (2017) 14. doi: 10.3390/ijerph14111394

PubMed Abstract | Crossref Full Text | Google Scholar

41. Fleming, CA, De Oliveira, JD, Hockey, K, Lala, G, Schmied, V, Theakstone, G, et al. Food and me In: How adolescents experience nutrition across the world. A companion report to the state of the World's children 2019. eds. D. Urszula, N. Alex, and R. Alison. Sydney: Western University and UNICEF (2020)

Google Scholar

42. Croll, JK, Neumark-Sztainer, D, and Story, M. Healthy eating: what does it mean to adolescents? J Nutr Educ. (2001) 33:193–8. doi: 10.1016/S1499-4046(06)60031-6

PubMed Abstract | Crossref Full Text | Google Scholar

43. Fernandez, MA, and Raine, KD. Digital food retail: public health opportunities. Nutrients. (2021) 13:3789. doi: 10.3390/nu13113789

PubMed Abstract | Crossref Full Text | Google Scholar

44. Gaylis, JB, Levy, SS, and Hong, MY. Relationships between body weight perception, body mass index, physical activity, and food choices in Southern California male and female adolescents. Int J Adolesc Youth. (2020) 25:264–75. doi: 10.1080/02673843.2019.1614465

Crossref Full Text | Google Scholar

45. Dion, J, Blackburn, M-E, Auclair, J, Laberge, L, Veillette, S, Gaudreault, M, et al. Development and aetiology of body dissatisfaction in adolescent boys and girls. Int J Adolesc Youth. (2015) 20:151–66. doi: 10.1080/02673843.2014.985320

PubMed Abstract | Crossref Full Text | Google Scholar

46. Poelman, MP, Thornton, L, and Zenk, SN. A cross-sectional comparison of meal delivery options in three international cities. Eur J Clin Nutr. (2020) 74:1465–73. doi: 10.1038/s41430-020-0630-7

PubMed Abstract | Crossref Full Text | Google Scholar

47. Neufeld, LM, Andrade, EB, Suleiman, AB, Barker, M, Beal, T, Blum, LS, et al. Food choice in transition: adolescent autonomy, agency, and the food environment. Lancet. (2021) 399:185–197.

Google Scholar

48. Qutteina, Y, De Backer, C, and Smits, T. Media food marketing and eating outcomes among pre-adolescents and adolescents: a systematic review and meta-analysis. Obes Rev. (2019) 20:1708–19. doi: 10.1111/obr.12929

PubMed Abstract | Crossref Full Text | Google Scholar

49. Knight, AJ, Worosz, MR, and Todd, E. Serving food safety: consumer perceptions of food safety at restaurants. Int J Contemp Hosp Manag. (2007) 19:476–84. doi: 10.1108/09596110710775138

Crossref Full Text | Google Scholar

50. Namkung, Y, and Jang, S. Does food quality really matter in restaurants? Its impact on customer satisfaction and behavioral intentions. J Hospitality & Tourism Res. (2007) 31:387–409. doi: 10.1177/1096348007299924

Crossref Full Text | Google Scholar

51. Bai, L, Wang, M, Yang, Y, and Gong, S. Food safety in restaurants: the consumer perspective. Int J Hosp Manag. (2019) 77:139–46. doi: 10.1016/j.ijhm.2018.06.023

Crossref Full Text | Google Scholar

52. Tran, VD. Using Mobile food delivery applications during the COVID-19 pandemic: applying the theory of planned behavior to examine continuance behavior. Sustain For. (2021) 13:12066. doi: 10.3390/su132112066

Crossref Full Text | Google Scholar

53. World Health Organization. Regional office for, slide to order: A food systems approach to meals delivery apps: WHO European Office for the Prevention and Control of noncommunicable diseases, World Health Organization. Copenhagen: Regional Office for Europe (2021).

Google Scholar

54. Brar, K, and Minaker, LM. Geographic reach and nutritional quality of foods available from mobile online food delivery service applications: novel opportunities for retail food environment surveillance. BMC Public Health. (2021) 21:1–11. doi: 10.1186/s12889-021-10489-2

Crossref Full Text | Google Scholar

55. Gallego-Schmid, A, Mendoza, JMF, and Azapagic, A. Environmental impacts of takeaway food containers. J Clean Prod. (2019) 211:417–27. doi: 10.1016/j.jclepro.2018.11.220

PubMed Abstract | Crossref Full Text | Google Scholar

56. Yi, Y, Wang, Z, Wennersten, R, and Sun, Q. Life cycle assessment of delivery packages in China. Energy Procedia. (2017) 105:3711–9. doi: 10.1016/j.egypro.2017.03.860

Crossref Full Text | Google Scholar

57. Jia, X, Klemes, JJ, Varbanov, PS, and Alwi, SRW. Energy-emission-waste nexus of food deliveries in China. Chem Eng Trans. (2018) 70:661–6. doi: 10.3303/CET1870111

Crossref Full Text | Google Scholar

58. Skovgaard, RE, Flore, R, and Oehmen, J. The digital foodscape and non-communicable diseases. Analysis of the risk factors of meal delivery applications in Denmark. DTU Skylab Foodlab Report 2021–01. (2021) doi: 10.11581/dtu:00000101

Crossref Full Text | Google Scholar

59. Jia, SS, Gibson, AA, Ding, D, Allman-Farinelli, M, Phongsavan, P, Redfern, J, et al. Perspective: are online food delivery services emerging as another obstacle to achieving the 2030 United Nations sustainable development goals? Front Nutr. (2022) 9:858475. doi: 10.3389/fnut.2022.858475

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: food applications, digital food environment, food choices, consumer perception of healthy food, adolescence

Citation: Saleh ST, Osaili TM, Al-Jawaldeh A, Hasan HA, Hashim M, Mohamad MN, Qiyas SA, Al Sabbah H, Al Daour R, Al Rajaby R, Masuadi E, Stojanovska L, Papandreou D, Zampelas A, Al Dhaheri AS, Kassem H and Cheikh Ismail L (2024) Adolescents’ use of online food delivery applications and perceptions of healthy food options and food safety: a cross-sectional study in the United Arab Emirates. Front. Nutr. 11:1385554. doi: 10.3389/fnut.2024.1385554

Received: 13 February 2024; Accepted: 15 March 2024;
Published: 02 April 2024.

Edited by:

Sousana Konstantinos Papadopoulou, International Hellenic University, Greece

Reviewed by:

Marie Claire Chamieh, American University of Beirut, Lebanon
Ihab Tewfik, University of Westminster, United Kingdom

Copyright © 2024 Saleh, Osaili, Al-Jawaldeh, Hasan, Hashim, Mohamad, Qiyas, Al Sabbah, Al Daour, Al Rajaby, Masuadi, Stojanovska, Papandreou, Zampelas, Al Dhaheri, Kassem and Cheikh Ismail. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Leila Cheikh Ismail, bGNoZWlraGlzbWFpbEBzaGFyamFoLmFjLmFl

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.