Keywords
fast food - consumption - BMI - university students - factors - London
Introduction
Fast food has become the new norm and a fast option for a fast-paced urban life as
eating out eliminates starvation, stipulates indulgence and enjoyment, and saves time.
University students get incredibly captivated by unhealthy lifestyle activities, containing
detrimental eating manners such as extreme ingestion of fast foods.[1] Continued fast-food consumption is associated with high body mass index (BMI). It
causes more significant cardiovascular risks and noncommunicable diseases, such as
high blood pressure, stroke, diabetes mellitus, and cancer.[2] The prerequisite spheres of fast-food consumption can be societal, environmental,
biological, psychological, or demographical.[3] However, most students know that fast food is depraved for their health. They still
ingest it to break the pressure of university life. They get quick service, low prices,
and save time compared with home-cooked food.[4]
University education is vital in promoting healthy lifestyle behaviors.[5] Transitioning into university education is crucial as students experience more autonomy
to mark their health and lifestyle choices during this phase.[6] Therefore, university students' health and lifestyle activities are of public health
interest. The Nursing and Public Health students in this study are culturally diverse
and derive from different parts of the world. Most of these students will have an
impact on UK's socioeconomic structure. Therefore, it is vital to explore the ingestion
habit of those learners. Hence, this study aims to assess the fast-food eating patterns
among nursing and public health university students at the University of Sunderland
in London (UOSIL), UK.
Methods
Design and Setting
This study is a cross-sectional study. This design is mainly steered to predict the
prevalence of the outcome of interest for a particular population at a given time,
usually for public health planning.[7] The study subjects are full and part-time male and female Nursing and Public Health
students in UOSIL from August 2021 to August 2022.
Sample Size
The power calculation defines the sample size necessary for the study to have enough
power and reduce errors.[8] The formula n = N/(1 + Ne2) was used to calculate the sample size power for this study. In this
calculation, n = the number of sample size 235, N = the actual number of students, 467, and e = Margin of error 0.05. The answer is 467/(1 + 467 × 0.05[2]) = 215.45.
Data Collection and Questionnaire
A written questionnaire was developed using formerly dispensed results of Huang et
al and Driskell et al.[9]
[10] Once the questionnaire was reviewed and approved by the supervisor, course lead
and UOSIL ethical team, the final questionnaire was developed using Google Docs. The
link to the questionnaire was distributed to 467 nursing and public health students
at Sunderland University. A QR code was also created for easy distribution and quicker
student access. The questionnaire was validated through a pilot study where the questionnaire
was sent to five different healthcare students who have yet to participate in the
data collection process. Subsequently obtaining their statements, essential revisions
were operated in the study tool, and finally, the rationality of the study tool was
confirmed. Initially, all questionnaires had multiple-choice answers. Then the 235
responses to the questionnaire are converted to a Comma-separated values (CSV) file
and later transferred and analyzed operating the Statistical Processing for Social
Sciences (SPSS) software. All questionnaire answers were then recoded into numerical
form in SPSS to perform the statistical analysis of the answers. The present questionnaire
consists of five sections. The first section contains subjective information such
as age, gender, BMI, course subject, marital status, and income status. The second
section contains patterns of fast-food consumption, for example, preferred fast-food,
preferred beverages, favorite fast-food place, whether they enjoy fast food or not,
frequency of fast-food consumption, and time of fast-food consumption. The third section
includes questions about why they consume fast food. In the last section, the participants
asked whether they consider the influence of nutritional information on the chosen
fast food.
Data Analysis
All statistical analyses were incorporated using IBM SPSS version 28 software. Descriptive
statistics (frequencies and percentages) were calculated to check the background characteristics
of the respondents. The bivariate association was estimated by performing chi-square
analyses. Binary Logistic regression analyses are done to check the connection between
dependent and independent variables. The significance level was set at p-value less than 0.05 in all analyses.
Results
Background Characteristics ([Table 1])
Table 1
Background characteristics of the respondents
Variables
|
Frequency
|
Percentage
|
Age
|
|
|
20–29
|
120
|
51.6
|
30–39
|
80
|
34.5
|
40–49
|
20
|
8.5
|
50–59
|
15
|
6.4
|
Gender
|
|
|
Male
|
52
|
22.6
|
Female
|
182
|
77.4
|
Course enrolled
|
|
|
Nursing
|
112
|
47.7
|
Public Health
|
123
|
52.3
|
Marital status
|
|
|
Married
|
119
|
50.6
|
Single
|
109
|
46.8
|
Separated
|
2
|
0.9
|
Divorced
|
4
|
1.7
|
Currently working
|
|
|
Yes
|
159
|
68.9
|
No
|
73
|
31.1
|
BMI
|
|
|
<18
|
7
|
3.0
|
18–24.99
|
132
|
56.2
|
25–29.99
|
62
|
26.4
|
> 30
|
34
|
14.4
|
Abbreviations: BMI, body mass index.
Among all the students, 50.6% patients were 20 to 29 years old, 22.6% male, and 77.4%
Female students. Among all the students, 47.7% are in nursing and 52.3% in Public
Health. About 46.8% of the students were single, and 31.1% were unemployed. Among
all the students, 26.4% of students' BMI was 25 to 29.99 Kg/m2, and 14.5% of students' BMI were above 30 kg/m2.
Food Consumption Pattern ([Table 2])
Table 2
Fast-food consumption of the respondents
Variables
|
Frequency
|
Percentage
|
Preferred fast food
|
|
|
Pizza
|
65
|
27.7
|
Burger
|
28
|
11.9
|
Fried chicken
|
80
|
34.0
|
Others
|
62
|
26.4
|
Preferred beverage
|
|
|
Fizzy drinks
|
24
|
10.2
|
Fruit juice
|
77
|
32.8
|
Milk shake
|
24
|
10.2
|
Tea/coffee
|
54
|
23.0
|
Water
|
56
|
23.8
|
Favorite fast-food place
|
|
|
KFC
|
72
|
32.4
|
McDonald's
|
87
|
39.2
|
Burger King
|
17
|
7.7
|
Local chicken-chips shops
|
46
|
20.7
|
Frequency of fast-food consumption
|
|
|
Less than 1 time/week
|
132
|
56.2
|
1–2 times/week
|
84
|
35.7
|
3–4 times/week
|
15
|
6.8
|
>5 times a week
|
3
|
1.3
|
Time of consumption of fast-food
|
|
|
Breakfast
|
12
|
5.1
|
Lunch
|
108
|
48.1
|
Evening
|
87
|
37.0
|
Dinner
|
22
|
9.8
|
Do you enjoy fast food?
|
|
|
Yes
|
162
|
69.79
|
No
|
70
|
30.21
|
Among the favored cuisine, fried chicken was the preferred choice of 34% of respondents,
followed by pizza (27.7%) and other options (26.4%). Regarding beverages, 32.8% opted
for fruit juice, 23.0% chose tea or coffee, 23.8% preferred water, 10.2% selected
fizzy drinks, and 10.2% preferred milkshakes. McDonald's emerged as the most popular
fast-food restaurant among 39% of students, followed by Kentucky Fried Chicken (KFC;
32%) and local chicken and fish shops (20%). A total of 56% of students reported consuming
fast food at least once a week, with 35% doing so at least twice a week. Fast-food
consumption times included 5.1% during breakfast, 48.1% during lunchtime, 37.0% during
the evening, and 9.8% during dinnertime. Roughly 70% of students reported enjoying
fast food.
Fast-Food Enjoyment ([Table 3])
Table 3
The association of fast-food enjoyments with different variable
Variables
|
Do you enjoy fast food
|
Chi-square calculation
|
OR calculation with 95% CI
|
Frequency (percentage)
|
χ2-Value
|
p-Value
|
OR
|
95% CI
|
p-Value
|
Age
|
Yes
|
No
|
16.68
|
<0.00
|
|
|
|
20–29
|
94 (79)
|
25 (21.0)
|
Representative group
|
|
|
30–39
|
54 (66.7)
|
27 (33.3)
|
0.54 (RR: 0.84)
|
0.28–1.11
|
NS
|
40–49
|
11 (55.0)
|
9 (45.0)
|
0.325 (RR: 0.70)
|
0.12–0.87
|
<0.03
|
50–59
|
5 (33.3)
|
10 (66.7)
|
0.13 (RR: 0.42)
|
0.64-3.21
|
< 0.01
|
Gender
|
Yes
|
No
|
1.83
|
<0.17
|
1.55
|
0.82–0.96
|
NS
|
Female
|
131 (72)
|
51 (28.0)
|
Male
|
33 (62.3)
|
20 (37.7)
|
Course enrolled
|
Yes
|
No
|
0.11
|
<0.74
|
0.91
|
0.52–1.59
|
NS
|
Nursing
|
77 (68.8)
|
35 (31.3)
|
Public health
|
87 (70.7)
|
36 (29.3)
|
Marital status
|
Yes
|
No
|
|
|
|
|
|
Single
|
85 (77.3)
|
25 (22.7)
|
8.557
|
<0.03
|
Representative group
|
|
|
Married
|
77 (64.7)
|
42 (35.3)
|
0.54 (RR: 0.84)
|
0.35–0.96
|
< 0.03
|
Separated
|
1 (50.0)
|
1 (50.0)
|
0.29 (RR: 0.65)
|
0.02–4.87
|
NS
|
Divorced
|
1 (25.0)
|
3 (75.0)
|
0.1 (RR: 0.32)
|
0.01–0.98
|
< 0.05
|
Currently working
|
Yes
|
No
|
2.41
|
<0.12
|
1.64
|
0.87–3.10
|
NS
|
No
|
56 (76.7)
|
17 (23.3)
|
Yes
|
108 (66.7)
|
54 (33.3)
|
BMI (kg/m2)
|
Yes
|
No
|
|
|
|
|
|
<18
|
2 (28.6)
|
5 (71.4)
|
8.6073
|
<0.03
|
Representative group
|
|
|
18–24.99
|
93 (70.5)
|
39 (29.5)
|
5.96 (RR: 2.47)
|
1.11–32.05
|
< 0.03
|
25–29.99
|
41 (66.1)
|
21 (33.9)
|
4.89 (RR: 2.31)
|
0.87–27.31
|
NS
|
>30
|
28 (82.4)
|
6 (17.6)
|
11.67 (RR: 2.88)
|
1.81–75.08
|
< 0.01
|
Abbreviations: BMI, body mass index; CI, confidence interval; NS, non-significant;
OR, odds ratio; RR, relative risk.
The enjoyment of fast food was associated significantly with age, marital state, and
BMI. On the other hand, gender, course enrolled, or working status had no association
with fast food enjoyment ([Table 3]). Age had a highly significant effect on fast-food enjoyment (p < 0.001), where fast-food enjoyment negatively correlated with advanced age as the
odds ratio (OR) decreased significantly by increasing age (from 0.54 for the age group
30–39 years to only 0.13 in the age group 50–59) when compared with the youngest age
group (20–29 years old). Similar results were obtained with marital status, where
married couples are less likely to enjoy fast food (OR = 0.54, p < 0.03) than single nurses. On the other hand, BMI was positively and significantly
associated with fast-food enjoyments, as the OR increased significantly by increasing
BMI (from 5.9 for the BMI 18–24 kg/m2 up to 11.6 for BMI above 30 kg/m2) when compared with nurses with BMI less than 18 kg/m2.
Reasons for Fast-Food Enjoyment ([Table 4])
Table 4
Reasons for fast-food enjoyment
Variables
|
Female, frequency (percentage)
|
Male, frequency (percentage)
|
Chi-square calculation
|
OR
95% CI
|
Reason
|
Yes
|
No
|
Yes
|
No
|
X2
|
p-Values
|
OR
|
95% CI
|
p-Values
|
Eat in a group
|
36 (19.8)
|
146 (80.2)
|
7 (13.2)
|
45 (86.5)
|
1.07
|
N.S.
|
0.63
|
0.2627–1.5147
|
NS
|
Enjoy taste
|
88 (48.4)
|
94 (51.6)
|
17(32.1)
|
36 (67.9)
|
4.3993
|
<0.03
|
0.5044
|
0.2644–0.9623
|
<0.03
|
Lack of cooking skills
|
3 (1.6)
|
179 (98.4)
|
4 (7.5)
|
49 (92.5)
|
4.9421
|
<0.02
|
4.8707
|
1.0547–22.4932
|
<0.04
|
Saves time
|
55 (30.2)
|
127 (69.8)
|
25 (47.2)
|
28 (52.8)
|
5.2521
|
<0.02
|
2.0617
|
1.1032–3.8528
|
<0.02
|
Basic need
|
20 (11.0)
|
162 (89.0)
|
14 (26.4)
|
39 (73.6)
|
7.8932
|
<0.004
|
2.9077
|
1.3500–6.2628
|
<0.001
|
Abbreviations: CI, confidence interval; NS, non-significant; OR, odds ratio.
When we looked for the reasons of fast-food enjoyments, we found that female differs
significantly from male in four out of five reasons for fast-food enjoyments ([Table 4]). Females are more likely to enjoy fast food taste than male (48.4% versus 32.1%).
Males are more likely than female in favoring fast food because of a lack of cooking
skills (7.5 vs. 1.6%), in saving time (47.2 vs. 30.2%) and in giving them their basic
needs (26.4 vs. 11%). On the other hand, eating in a group was not a reason for enjoying
fast food in majority of male (86.5%) and female (80.2%) with no significant differences
between the two groups. Males are significantly different from female in their believe
that fast food will provide them with their basic needs with a significant of OR 2.9.
Nutritional Information ([Table 5])
Table 5
The influence of nutritional information on the chosen fast food
Variables
|
Female, frequency (percentage)
|
Male, frequency (percentage)
|
Chi-square calculation
|
OR
95% CI
|
Reason
|
Yes
|
No
|
Yes
|
No
|
X2
|
p-Values
|
OR
|
95% CI
|
p-Values
|
Most of the times
|
1 (0.5)
|
181 (99.5)
|
0 (0.0)
|
53 (100)
|
|
|
1.1308
|
0.045–28.1
|
<0.94 NS
|
Not at all
|
50 (27.5)
|
132 (72.5)
|
11 (20.8)
|
42 (79.2)
|
0.9638
|
0.32 NS
|
0.69
|
0.33–1.45
|
<0.3 NS
|
Sometimes
|
50 (27.5)
|
132 (72.5)
|
18 (34.0)
|
35 (66)
|
0.8407
|
0.36 NS
|
1.35
|
0.70–2.6
|
<0.3 NS
|
Other
|
81 (44.5)
|
101 (55.5)
|
24 (45.3)
|
29 (54.7)
|
0.01
|
0.92 NS
|
1.03
|
0.56–1.9
|
<0.9 NS
|
Knowledge
|
175 (96.2)
|
7 (3.8)
|
49 (92.5)
|
4 (7.5)
|
1.2601
|
0.26 NS
|
0.49
|
0.14–1.74
|
<0.2 NS
|
Abbreviations: CI, confidence interval; NS, non-significant; OR, odds ratio.
Upon analyzing the association between nurses' nutritional knowledge and their preference
for fast food, we found that none of the proposed factors had a significant impact
on their selection. Moreover, there were no noticeable differences in the responses
of male and female participants ([Table 5]). Among the students, 96.2% of female and 92.5% of male students have acknowledged
the potential health hazards associated with excessive fast-food consumption.
Discussion
It is not surprising that the frequency of fast-food consumption has increased so
much with the significant growth in the number of fast-food outlets over the years.[1] It is concerning, however, that this trend has led to a rise in health issues associated
with fast food diet.[2] Therefore, it is important to prioritize our health and well-being by making conscious
choices about what we eat. Hence, this study aims to assess the fast-food eating patterns
among nursing and public health students at the UOSIL. Approximately 85% of respondents
were under the age of 40, with 72% being female. Nearly half of the respondents were
married, while 47% were single. The majority (79%) were employed. Additionally, around
40% of the respondents were classified as overweight or obese. It was reported that
women with lower income had a higher mean BMI.[11]
Around 48% of responders ingest fast food during lunchtime, 37.0% during the evening,
and 9.8% during dinner with a frequency of twice a week for more than 90% of the responders.
Similar results were reported for college students at the Midwestern land-grant university,
where most students eat fast food during lunchtime at least once per week.[10] The preferred fast food differ among our responders but fried chicken was the highest
(34%) with burgers preferred only by 11.9% of responders. Among US college students,
American burger/fries were the highest favored fast food (70%).[10] It goes to show how regional and cultural factors can influence food preferences.
It is not surprising that lunchtime is the most popular time to eat fast food. It
is also notable that there are differences in preferred fast food among responders,
with fried chicken being the top choice. It is worth considering the impact of this
type of diet on overall health and well-being. MacDonald was the preferred fast-food
outlet for 39% of the participants, followed by KFC—32%, with only 8% preferring Burger
King. This indicates again that regional and cultural factors can influence food preferences.
According to this study, 72% of female and 62.3% of male students enjoyed fast food,
indicating that female students enjoy fast food more than male students with no significant
differences between the two groups. However, other studies reported that male students
often consume fast food more than female students.[11]
[12] In our sample, gender has no significant effect on fast-food consumption or enjoyment.
On the other hand, there was a significant association between age and enjoyment of
fast food, with enjoyment decreasing as age increases. This means that as people get
older, they are less likely to enjoy fast food. Our data shows that the OR for fast
food enjoyment decreases significantly with increasing age. Similar findings were
reported in many other studies.[3]
[4]
[11] These results highlight the importance of considering age as a factor when studying
consumer preferences and behaviors.
Another significant factor linked to the appreciation of fast food was the conjugal
condition, as married nurses demonstrated a notably diminished proclivity toward enjoying
fast food compared with their unmarried counterparts, with an OR of 0.54. Our findings
validate prior reports indicating that individuals who are unmarried exhibit a greater
inclination toward fast food in comparison to their married counterparts.[13]
Conversely, a highly significant positive correlation was found between BMI and fast-food
enjoyment, with the degree of enjoyment escalating by the increase in BMI. This implies
that individuals who are overweight or obese exhibit a greater degree of pleasure
toward fast food in comparison to those with a normal or low body weight. These results
was repeatedly reported in studies all over the world.[1]
[2]
[10] It is worth noting, however, that this study only examines the relationship between
BMI and fast-food enjoyment, and does not necessarily imply causation. In other words,
it is unclear whether individuals become overweight or obese because they enjoy fast
food, or whether they enjoy fast food because they are already overweight or obese.
Further research would be needed to explore this question in more detail. This knowledge
could help healthcare professionals and policymakers develop better strategies for
tackling obesity and related health problems. By identifying the factors that contribute
to fast-food consumption, they can design interventions that target these factors
and promote healthier eating habits.
When we looked for the reasons behind people's enjoyment of fast food, we found significant
differences between males and females in terms of their reasons for enjoying fast
food. Females were more likely to enjoy fast food for its taste, while males were
more likely to enjoy it because it saved them time and fulfilled their basic needs.
However, males were also more likely to enjoy fast food because of a lack of cooking
skills. Interestingly, eating in a group was not a major reason for enjoying fast
food for either males or females. This is not in agreement with a study done by Kim
et al, where a significant proportion of women (34%) showed eating with family/friends
is one of the main reasons to consume fast food compared with men (13%).[14] Overall, while there were some differences between the genders, our study suggests
that there are varieties of reasons why people enjoy fast food beyond simply eating
in a group.
The analysis conducted on nurses' nutritional knowledge and preference for fast food
revealed that none of the proposed factors had a significant impact on their selection.
Additionally, there were no significant differences between male and female participants.
However, among the students, a vast majority of both male and female students acknowledged
the potential health hazards associated with excessive fast-food consumption. The
result indicates that although students know the inferior side of fast-food consumption,
they still ingest it. It has been proposed that a person's intention influences behavior.[12] Assertiveness, knowledge, social pressure, and perceived behavioral control affect
behavioral intent.[9]
[10] Food information affects consumers' thoughts and intentions about food. In addition,
food information is significant for consumers during food choices.[15] Information about food and its ingredients helps customers progress in their food
approaches.[16]
Conclusions
The high prevalence of overweight and obesity among students of medical specialization
is alarming. Future studies should investigate the stimulus that influences fast-food
consumption and eating patterns and identify the most appropriate way to unravel these
problems. This study identified age, maternal status, and BMI being associated significantly
with fast-food consumption. Although students were aware of the potential health hazards
associated with excessive fast-food consumption, they still require more educative
measures and training programs to make them conscious of mindful eating habits. Research
can be expanded to improve the intermediation of the strategies to encourage healthy
consumption practices among the students.
Limitations of the Study
This research used a cross-sectional study design; hence, the study does not have
the capability to assess the cause-and-effect associations among the variables. The
study data are a self-report questionnaire; therefore, the respondents answers may
have bias in completing the questionnaire, which can affect the study results. Many
of the student's responses might differ from their best interest, and therefore, they
might answer incorrectly, affecting the study results.