Skip to main content
International Journal of General Medicine logoLink to International Journal of General Medicine
. 2020 Mar 5;13:77–88. doi: 10.2147/IJGM.S246296

Eating Habits Among Medical Students at King Abdulaziz University, Jeddah, Saudi Arabia

Sami H Alzahrani 1,, Abdulmajeed Abdulaziz Saeedi 2, Maan Khaleed Baamer 2, Abdullah Faisal Shalabi 2, Abdullah M Alzahrani 3
PMCID: PMC7062392  PMID: 32184649

Abstract

Background

Eating habits are a major concern with regard to the health status of university students. This study aimed to identify patterns of eating habits among undergraduate medical students and to investigate their relationship to sociodemographic, socioeconomic, and psychological factors.

Methods

This cross-sectional study included 378 undergraduate medical students aged 19–26 from the Faculty of Medicine at King Abdulaziz University, Jeddah, Saudi Arabia. Students were in their second through sixth academic year. Data were gathered with a self-administered questionnaire encompassing questions on sociodemographics, eating habits, and psychological factors.

Results

Eating habits score was much lower among students who were smokers, lived in rented places, lived alone, had separated parents, and did not exercise regularly. In multivariate analysis, multiple psychological factors, such as living alone and stressed, were found to be associated with eating patterns.

Conclusion

A majority of undergraduate medical students had unhealthy eating patterns, and socioeconomic and psychological elements were significantly affecting eating patterns.

Keywords: nutrition, survey, dietary habits, psychological factors, sociodemographic factors

Introduction

Healthy eating is one of the most substantial means of enhancing health. A healthy diet includes a balance of natural and fresh foods, a lot of fruits and vegetables, and foods containing minerals and vitamins.1 It also involves behaviors and eating habits that are consistent, which is beneficial for supporting and maintaining both physical and psychological health.2 Healthy eating is affected by various individual and collective (social and environmental) factors.3 In Saudi Arabia, eating patterns have altered considerably during the past few decades because of a fast-rising socioeconomic status at government and population levels. These marked lifestyle changes have affected different age groups, especially children and youth.4 Previous studies showed high levels of consumption of refined foods and animal products as compared to fruits and vegetables among Saudi populations.5,6

Adult students transitioning from schools to universities experience difficulties adhering to healthy eating habits due to lack of time and stressors, and instead, they skip meals, eat unhealthy snacks, dine out, and consume fast food.7 There is a deficit of knowledge about healthy diet options that might passively influence eating patterns and nutrition.8 Medical students are expected to possess good eating patterns and have a healthy lifestyle because they have more medical knowledge regarding healthy eating patterns. As such, they are expected to act as role models for their peers in terms of the application of healthy eating patterns. A study in China showed that medical students had risk factors for chronic diseases due to bad eating patterns.9 Although medical students possess enough knowledge about healthy dietary patterns, they appear incapable of putting this knowledge into practice.10 The stress of university life and medical studies negatively affects their dietary patterns.11 Medical education is considered the most academically and emotionally demanding training program. The time and emotional commitments medical students must devote to their training are extensive, and such stress has a negative impact on students’ psychological health.12 Healthy dietary habits among medical students are important because they are the future physicians, and students who personally ignore adopting a healthy lifestyle are more likely to fail to establish health-promoting opportunities for their patients.9

There is a paucity of studies that focus on the effects of psychological factors on eating patterns among medical undergraduate students in Saudi Arabia. Therefore, this study aimed to assess eating patterns and the risk factors for poor eating habits, with a focus on the demographic, socioeconomic, and psychological factors among medical students at King Abdulaziz University (KAU), Jeddah, Saudi Arabia.

Subjects and Methods

Study Setting and Population

This questionnaire-based cross-sectional study was carried out between January and March of 2019 and included 378 undergraduate medical students in any of the second to sixth years of study at the Faculty of Medicine, KAU, Jeddah, Saudi Arabia. The strategy adopted for this study was a double sampling for stratification technique. After arrangements were made with the medical college administration of KAU, students in each of the academic years were randomly approached by phone. Students were excluded if they were pregnant or athletes. After potential participants agreed to participate in this study, the aims and advantages of the research were described to them verbally and they were given a guarantee that the information gained would be confidential and would have no affect on their course progress. The biomedical ethics committee for human research at KAU, Jeddah, Saudi Arabia, approved this study (257–140).

Sample Size

The participants were randomly selected from students of the Faculty of Medicine, KAU. During the study period, there were 2410 medical students comprising 1184 males and 1226 females in the preclinical and clinical phases of the curriculum, including the second year (n=609; 278 males and 331 females), third year (n=491; 244 males and 247 females), fourth year (n=507; 257 males and 250 females), fifth year (n=424; 217 males and 207 females), and sixth year (n=379; 188 males and 191 females). The Raosoft software package (Raosoft, Inc., Seattle, WA) was used for sample size calculation, with the single proportion method. When assuming that 50% of medical students will have sufficient knowledge of and a positive attitude toward the questionnaire, the required sample size was 380 students at a 95% confidence interval and a 5% margin of error. The proportional allocation of the students was performed using a stratified sampling technique as follows: 25.1% were students in the second year, 18.5% in the third year, 16.7% in the fourth year, 21.2% in the fifth year, and 18.5% in the sixth year. The total number of students completing the study was 378 because 22 students did not complete the questionnaire.

Study Instruments

The instrument used was an adapted English-language questionnaire used in previous studies.13,14 The questionnaire’s reliability was assessed, and the Cronbach’s alpha was 0.715. There were three sections in the survey, where the first section consisted of questions about demographic information such as age, gender, nationality, academic year, marital status, residence, living arrangement, monthly household income, chronic illnesses, medications being taken, education level of parents, whether the parents were separated, if the mother worked, and other questions regarding the student’s lifestyle, such as those about exercise and smoking habits. The second section consisted of 12 questions dealing with eating and drinking patterns and types of meals (12 items). For example, the questionnaire probed habits related to regular meals; daily breakfast; meals with or without snacks in between; the frequency of meals; snacks, vegetables, fruits, and fried food consumption; daily water intake; eating with friends and family; consuming fast food; consuming food with balanced nutrition; and type of foods most frequently eaten. The third section consisted of six questions about psychological items that could affect the eating patterns of students. Questions were chosen from the validated compulsive eating scale (CES),15 which was used to assess uncontrolled eating habits among the college students, exploring factors like eating due to feelings of being lonely, upset or nervous, bored or happy, and completely out of control regarding food, along with eating so much until getting a stomachache. The answers to these questions were “never,” “often,” or “sometimes.” This questionnaire was developed to be administered online.

Statistical Analysis

The Statistical Package for Social Science version 21 (SPSS Inc. Chicago, IL) was used to analyze the data for this study. Data were expressed as numbers (%) for categorized variables or mean Inline graphic standard error of mean (minimum–maximum) for continuous variables. Eating habit scores were calculated based on 12 questions, where healthy habits were given a score of 1 and non-healthy habits were given a score of 0. Therefore, the maximum possible score was 12. The score of eating habits was compared between different demographic groups, groups of social factors, and psychological factor grouping using the unpaired Student’s t-test between two groups and one-way ANOVA (least significant difference) between more than two groups. The significance level was set at P-value ≤0.05.

Results

Socioeconomic Characteristics

Among the 378 medical students who participated in this study, the mean age was 21.6 years with a range from 19 to 26. Half of them were females (50.8%), and most of the participants (n=367, 97.1%) were Saudi. Most of them were in the second year (25.1%), and the fewest were from the fourth year (16.7%). Most of the participants were single (93.7%) and living in owned homes (70.6%) with their families (88.9%). Almost half of the participants (48.4%) had a monthly income of more than 10,000 Saudi Reals (SR) per month. Current smokers made up 23.5%, and 4.2% were ex-smokers. A total of 8.5% indicated they had a chronic illness, and 13.8% were taking medications. The mother’s education levels were university degree, 37%; secondary school, 30.2%; diploma, 13.5%; master’s degree, 11.6%; no formal education, 5.6%; and others, 2.1%. The father’s education levels were university degree, 36.8%; master’s degree, 27.2%; secondary school, 15.9%; diploma, 14.3%; PhD, 3.2%; no formal education, 1.3%; and others, 1.3%. The parents were separated for 12.4% of respondents, and the percentage of respondents who had working mothers was 37%. Most of the respondents who played sports (59.3%; see Table 1).

Table 1.

Sociodemographic Characteristics of Participants (n=378)

Demographic Data Value
Age (years) 21.6±0.1 (19.0–26.0)
Gender
 Female 192 (50.8%)
 Male 186 (49.2%)
Nationality
 Saudi 367 (97.1%)
 Non-Saudi 11 (2.9%)
Academic years
 Second 95 (25.1%)
 Third 70 (18.5%)
 Fourth 63 (16.7%)
 Fifth 80 (21.2%)
 Sixth 70 (18.5%)
Marital status
 Single 354 (93.7%)
 Married 21 (5.6%)
 Divorced 3 (0.8%)
Residence
 Own 267 (70.6%)
 Rent 111 (29.4%)
Living arrangement
 Living alone 42 (11.1%)
 Living with family 336 (88.9%)
Monthly household income (SR)
 <3000 SR 124 (32.8%)
 3000–10,000 SR 71 (18.6%)
 >10,000 SR 183 (48.4%)
Smoking
 Never smoked 273 (72.2%)
 Ex-smoker 16 (4.2%)
 Current smoker 89 (23.5%)
Smoking duration (years) 4.1±0.3 (1.0–13.0)
Chronic illness
 No 346 (91.5%)
 Yes 32 (8.5%)
Taking medications
 No 326 (86.2%)
 Yes 52 (13.8%)
Number of family members 6.2±0.1 (1.0–13.0)
Mother’s education level
 University degree 140 (37.0%)
 Secondary school 114 (30.2%)
 Diploma 51 (13.5%)
 Master’s degree 44 (11.6%)
 No formal education 21 (5.6%)
 Others 8 (2.1%)
Father’s education level
 University degree 139 (36.8%)
 Master’s degree 103 (27.2%)
 Secondary school 60 (15.9%)
 Diploma 54 (14.3%)
 PhD 12 (3.2%)
 No formal education 5 (1.3%)
 Others 5 (1.3%)
Parents separated
 No 331 (87.6%)
 Yes 47 (12.4%)
Mother works
 No 238 (63.0%)
 Yes 140 (37.0%)
Plays sports
 No 154 (40.7%)
 Yes 224 (59.3%)
Number of days with regular exercise per week
 Once 43 (11.4%)
 Twice 63 (16.7%)
 More than twice 118 (31.2%)

Note: Data were expressed as mean +/- standard error of mean (minimum–maximum) or number (%) as appropriate.

Abbreviation: SR, Saudi Real, 1 Dollar=3.75 SR.

Eating Habits

Around 30.7% of the students thought that they had healthy eating habits. Almost half of the participants (50.5%) ate meals regularly, but only 34.7% had breakfast on a daily basis, and 18.5% had breakfast rarely. Only 17.7% of the participants reported that they ate meals without snacking in between, and 26.5% ate snacks daily, while 27.8% rarely had snacks. Around 20.4% of the participants consumed vegetables daily, while 14.3% ate vegetables only rarely. About 11.9% of the respondents consumed fruits on a daily basis, while 20.4% ate fruit rarely. Around 9.5% ate fried food on a daily basis, while 15.6% ate fried foods rarely. Relatively few (10.1%) of the participants drank more than 2 liters of water per day. A majority of the participants (50.8%) ate meals with family and friends one to four times per week, while 44.2% ate with their family and friends on a daily basis, and 5% reported that they always ate alone. About two-thirds of the students (65.9%) went to fast-food restaurants “sometimes,” followed by 28.0% of students eating fast food “often,” and 6.1% never ate fast food. More than half (53.7%) of the students knew that they should eat a variety of foods for balanced nutrition, although 32.0%, 7.1%, and 5.6% of the students thought that “mainly vegetables,” “mainly meat,” or “mainly carbohydrates,” respectively, was sufficient for balanced nutrition. Most of the participants typically ate a variety of foods (43.1%), but 38.1% admitted to consuming predominantly meats. The mean of healthy habits score was 4.2, from a range of 0–10 (Table 2).

Table 2.

Eating Habits Among Respondents (n=378)

Characteristics Value
Healthy eating habits
 No 262 (69.3%)
 Yes 116 (30.7%)
Q1. Regular meals
 Yes 191 (50.5%)
 No 187 (49.5%)
Q2. Frequency of having daily breakfast
 1–2 times per week 78 (20.8%)
 3–4 times per week 99 (26.2%)
 Daily 131 (34.7%)
 Rarely 70 (18.5%)
Q3. Frequency of having meals without snacks in between
 1–2 times per week 98 (25.9%)
 3–4 times per week 108 (28.6%)
 Daily 67 (17.7%)
 Rarely 105 (27.8%)
Q4. Frequency of having snacks
 1–2 times per week 81 (21.4%)
 3–4 times per week 128 (33.9%)
 Daily 100 (26.5%)
 Rarely 69 (18.3%)
Q5. Weekly consumption of vegetables
 1–2 times per week 134 (35.4%)
 3–4 times per week 113 (29.9%)
 Daily 77 (20.4%)
 Rarely 54 (14.3%)
Q6. Weekly consumption of fruits
 1–2 times per week 155 (41.0%)
 3–4 times per week 101 (26.7%)
 Daily 45 (11.9%)
 Rarely 77 (20.4%)
Q7. Weekly consumption of fried food
 1–2 times per week 140 (37.0%)
 3–4 times per week 143 (37.8%)
 Daily 36 (9.5%)
 Rarely 59 (15.6%)
Q8. Water intake (liters/day)
 <1 liter 101 (26.7%)
 1–1.5 liter 156 (41.3%)
 1.5–2 liter 83 (22.0%)
 > 2 liters 38 (10.1%)
Q9. Meals with family and friends
 1–2 per week 63 (16.7%)
 3–4 times per week 129 (34.1%)
 Always alone 19 (5.0%)
 Daily 167 (44.2%)
Q10. Fast food in restaurants
 Never 23 (6.1%)
 Often 106 (28.0%)
 Sometimes 249 (65.9%)
Q11. Food type with balanced nutrition
 All of them 1 (0.3%)
 All types but not fried 1 (0.3%)
 Balanced nutrition needs to be contained with carbs, proteins, and fats 1 (0.3%)
 Carbohydrate (rice, bread) 21 (5.6%)
 Cover your requirements from macros 1 (0.3%)
 Daily needs of carbs, proteins, and fats 1 (0.3%)
 Fruits 1 (0.3%)
 Mainly meat 27 (7.1%)
 Mainly vegetables 121 (32.0%)
 Variety of foods 203 (53.7%)
Q12. Type of food most often ordered
 Pasta, French fries 7 (1.9%)
 Carbohydrates (rice, bread, etc.) 48 (12.7%)
 Chicken 1 (0.3%)
 Fatty food, ketogenic diet 1 (0.3%)
 Predominantly meat 144 (38.1%)
 Predominantly vegetable 14 (3.7%)
 Variety of food 163 (43.1%)
Healthy habits score 4.2±0.1 (0.0–10.0)

Note: Data were expressed as mean +/- standard error of mean (minimum–maximum) or number (%), as appropriate.

Psychological Factors Affecting Eating Behavior

There were some participants who reported that they often ate because they felt lonely (10.1%). Around 15.9% often felt completely out of control when it came to food, while 48.9% sometimes felt that way. In terms of overeating, 11.4% said they often ate until their stomach hurt, 55.3% exhibited that same behavior sometimes, and the remaining third 33.3% had never eaten till their stomach hurt. When the respondents were asked if they eat when they are upset or nervous, most of them (43.1%) answered “never.” A majority of the participants said that they “sometimes” eat because of being bored (51.1%) and “sometimes” because of being happy (56.6%). Boredom and happiness were not found to be associated with eating for 27.5% and 24.6% of respondents, respectively (Table 3).

Table 3.

Psychological Factors Related to Eating Behavior (n=378)

Psychological Factors Answer Level
Never Often Sometimes
Eat because of feeling lonely 171 (45.2%) 38 (10.1%) 169 (44.7%)
Feel completely out of control when it comes to food 133 (35.2%) 60 (15.9%) 185 (48.9%)
Eat so much until stomach hurts 126 (33.3%) 43 (11.4%) 209 (55.3%)
Eat because of feeling upset or nervous 163 (43.1%) 56 (14.8%) 159 (42.1%)
Eat because of feeling bored 104 (27.5%) 81 (21.4%) 193 (51.1%)
Eat because of feeling happy 93 (24.6%) 71 (18.8%) 214 (56.6%)

Note: Data were expressed as number (%).

Relationship Between Eating Patterns and Sociodemographic Factors

The total eating score was compared throughout the categorical variables and found to be significant for the following factors: different academic years, with the highest scores in the sixth year and the lowest score in the fifth year (P<0.0001). Those who lived in an owned place had higher scores than those who lived in a rented place (4.46±0.12 versus 3.73±0.19, P<0.001). Living arrangements were another significant factor and showed that students who lived with their families had higher scores than the students who were living alone (4.35±0.11 versus 3.43±0.28, P=0.005). Another significant factor was smoking, where students who had never smoked had higher scores (4.56±0.12) than the ex-smokers (4.50±0.63) and current smokers (3.23±0.19), with P<0.0001 for all. The score was significantly higher among students whose parents were not separated as compared to those whose parents were separated (4.33±0.11 vs. 3.62±0.27, P=0.023) and for students playing sports versus those did not play a sport (4.55±0.14 vs. 3.80±0.14, P=0.0001). For all other factors, including gender, nationality, academic year, marital status, father’s and mother’s education levels, and mother’s working status, there were no significant differences found in the scores between the groups (Table 4).

Table 4.

Association Between Eating Habits and Sociodemographic Factors (n=378)

Characteristics Mean ± SE P-value
Gender 0.165
 Male 4.10±0.14
 Female 4.39±0.15
Nationality 0.107
 Saudi 4.22±0.0
 Non-Saudi 5.09±0.65
Academic year <0.0001
 Second 4.08±0.22
 Third 4.54±0.23
 Fourth 4.22±0.23
 Fifth 3.35±0.19
 Sixth 5.20±0.23
Marital status 0.254
 Single 4.25±0.12
 Married 4.33±0.52
 Divorced 2.33±0.88
Residence <0.001
 Own 4.46±0.12
 Rent 3.73±0.19
Living arrangement 0.005
 Live alone 3.43±0.28
 Live with family 4.35±0.11
Monthly household income (SR) 0.069
 <3000 4.19±0.20
 3000–10,000 3.80±0.22
 >10,000 4.45±0.14
Smoking <0.0001
 Current smoker 3.23±0.19
 Ex-smoker 4.50±0.63
 Never smoked 4.56±0.12
Mother’s education level 0.484
 Secondary school 4.16±0.20
 Diploma 4.718±0.31
 University degree 4.16±0.15
 Master’s degree 4.84±0.33
 No formal education 4.10±0.46
 Others 4.38±0.42
Father’s education level 0.614
 Secondary school 4.23±0.24
 Diploma 4.35±0.28
 Degree 3.99±0.18
 Master’s 4.52±0.20
 No formal education 4.20±0.73
 PhD 4.50±0.51
 Others 4.20±0.86
Parents separated 0.023
 No 4.33±0.11
 Yes 3.62±0.27
Mother works 0.955
 No 4.25±0.13
 Yes 4.24±0.17
Plays sports 0.0001
 No 3.80±0.14
 Yes 4.55±0.14

Notes: Data were expressed as mean Inline graphic standard error of mean. Significance was determined by either an unpaired Student’s t-test or one-way ANOVA test, as appropriate.

Relationship Between Eating Patterns and Psychological Factors

There was a significant difference found between groups for the scores on each of the questions regarding psychological factors. The students who answered “never” to the questions had higher scores than those who answered “often” or “sometimes.” The mean score for those who never ate because they felt lonely was higher than those who ate often or sometimes (4.65±0.16 vs. 3.23±0.26 and 4.04±0.15, P<0.0001). The mean score for the students who never felt completely out of control when it comes to food was 4.85±0.19, while for those who did often feel out of control with food was 3.75±0.22, and for those who sometimes felt out of control was 3.97±0.14, with significant differences between them (P<0.0001). The mean score for the respondents who had eaten until their stomach hurt was 4.90±0.12, while for those who did that often was 3.84±0.29 and those who sometimes did was 393±0.12 with significant differences between them (P<0.0001). The mean score of the respondents who ate because they were upset or nervous was 4.52±0.16, while for those who did that often and sometimes were, respectively, 3.79±0.24 and 4.13±0.16 (P=0.041). The score for students who never ate because they were bored was 4.89±0.22, while for those who often ate because they were bored was 3.75±0.18, and those who only ate out of boredom sometimes was 4.10±0.14 (P<0.0001) (Table 5).

Table 5.

Association Between Eating Habits and Psychological Factors (n=378)

Psychological Factors Mean ± SE P-value
Eat because of feeling lonely <0.0001
 Never 4.65±0.16
 Often 3.32±0.26
 Sometimes 4.04±0.15
Feel completely out of control when it comes to food <0.0001
 Never 4.85±0.19
 Often 3.75±0.22
 Sometimes 3.97±0.14
Eat so much until stomach hurts <0.0001
 Never 4.90±0.21
 Often 3.84±0.29
 Sometimes 3.93±0.12
Eat because of feeling upset or nervous 0.041
 Never 4.52±0.16
 Often 3.79±0.24
 Sometimes 4.13±0.16
Eat because of feeling bored <0.0001
 Never 4.89±0.22
 Often 3.75±0.18
 Sometimes 4.10±0.14
Eat because of feeling happy 0.065
 Never 4.65±0.23
 Often 3.96±0.23
 Sometimes 4.16±0.13

Notes: Data were expressed as mean Inline graphic standard error of mean. Significance was determined by one-way ANOVA test.

Discussion

The present study aimed to evaluate eating habits and investigate the relationships between sociodemographic, socioeconomic, and psychological factors with eating habits among medical students at a Saudi Arabian university. Most of the participants were Saudi (97.1%), single (93.7%), lived with family (88.9%), and were non-smokers (72.2%), which may be a good representative sample of all undergraduate medical students in Saudi Arabia. In Dammam, Saudi Arabia, Al-Qahtani10 reported high numbers of single medical students (90%), although 76% of the students who lived with their families and were single were more likely to choose unhealthy foods.16

In the present study, the participants’ parents were highly educated, and only 1.3% of fathers and 5.6% of mothers had no formal education. Al-Qahtani10 reported that >90% of the students’ parents had high-level degrees, and that had a positive impact on their children’s eating patterns;17 however, that effect was not shown in this study, where most students had unhealthy dietary patterns in spite of their parents’ high education levels.

In this study, the majority of students (88.9%) lived with family, and the healthy habits score was significantly higher in students who lived with their family than those who lived alone. Living with family appeared to be a good environment to protect against bad dietary patterns.16

In this study, only 23.5% of the medical students were current smokers. The total health habit score was significantly higher for non-smokers than for current or former smokers. Abstinence from smoking was found to be positively associated with healthy eating habits in this study. In other studies, smoking was correlated with bad eating habits among Chinese university students9 and Malaysian medical students.14

In this study, 59.3% of the students exercised regularly, with 31.2% exercising more than twice per week. Physical activity is very important for health; in comparison to international studies, Saudi youth had more physical inactivity and sedentary lifestyles.18 In this respect, Al-Nakeeb et al19 reported that physical activity among young females and males (26%) from Al-Ahsa (Eastern region of Saudi Arabia) was low when compared to adolescents in Coventry (77.2%) and Birmingham (72.3%) in the United Kingdom.

University students experience changes in their life patterns and acquire unhealthy eating habits. This transition begins in school and university and may remain later in life.1 Almost half of the students in this study (50.5%) ate regular meals; this finding was higher than those reported in other areas of Saudi Arabia, from the College of Health Sciences at Rass, Qassim University (36.7%)20 and from Abha (31.0%).21 Meanwhile, this finding was lower than that documented for Chinese (83.6%),9 Lebanese (61.4%),22 and Malaysian medical students (57.6%).14 These habits need to be changed through educational programs aimed at enhancing healthy eating habits in Saudi Arabia.

Breakfast is widely considered to be the most important meal of the day.23 It is defined as any food eaten before or at the start of daily activities, within 2 hrs of waking, and typically not after 10:00 am.24 Breakfast skipping was defined as eating breakfast fewer than 7 days per week.25 Although medical students were expected to have this knowledge, only about one-third (34.7%) of study participants ate breakfast on a daily basis in the present study. Breakfast skipping was found in about 15% of Saudi secondary school students from Jeddah,26 49% of Saudi adolescents from Abha,18 and 10% of young males and 19% of females in the United Arab Emirates.27 Our finding was slightly higher than that reported in Lebanon (31.8%).22 Meanwhile, studies from Malaysia reported a rising trend toward daily breakfast eating among female youth in Pahang (52.6%),28 Malay undergraduate students in Selangor (75.6%),29 and medical students in private university in Malaysia (43.9%).14 Regular breakfast eating is essential for medical students to have enough energy intake to get over the malaise caused by a rigorous program of daily studies.30 Commonly reported causes for skipping breakfast were lack of time, oversleeping, lack of appetite, disliking eating early in the morning, concerns about excess body weight, living alone, and lack of parental control.25,31 Breakfast consumption is associated with several advantages for behavioral, cognitive, and affective aspects.32 Furthermore, skipping breakfast is a risk factor for obesity due to overeating at the next meal, leading to high serum cholesterol levels and type 2 diabetes mellitus.33

This study revealed that only 17.7% of the students ate meals on a daily basis without having snacks in between, while a majority (56.3%) had snacks between meals at least three times per week, and 26.5% had snacks daily. Daily consumption of snacks was also a common habit (35.96%) among the Saudi students in Abha,21 and being a staple food in this region, dates were eaten by students typically around four times per week (29.21%). The findings of this study were higher compared to previous studies from various other countries, where fewer Syrian (53%),34 Lebanese (53.20%),22 and Malaysian (42.4%)14 students consumed snacks regularly. Frequent eating of snacks is a common habit among young people.2,35 Further, in both lean and obese people, frequent snacking may lead to slower weight loss or even weight gain.36

This study revealed that the proportion of medical students who consumed vegetables and fruits daily was 20.4% and 11.9%, respectively. A prior study conducted in Saudi Arabia among university students showed that 22% of them consumed at least five servings of vegetables per day.37 In Abha, Saudi Arabia, the reported prevalence of fruits and vegetables intake among Saudi youth were 50.8% and 62.4%,4 respectively, and for fruit intake among Saudi university students, it was 31.46%.21 Aboul Azm and Elebiary38 reported that 30% of female nursing students in Saudi Arabia ate fruits and vegetables daily. Research in other countries have reported that 26.3% of Bahrain students ate five servings of fruits and vegetables daily,35 while 20% of Pakistani female university students ate two servings of fruits and vegetables daily.39 Moreover, vegetable and fruit consumption more than three times per week for adolescent males and females in the United Arab Emirates was reported to range from 49% to 69%.27 Western countries such as the United States,3 Germany,40 and Great Britain41 revealed between 66% and 95% of university students did not meet recommendations for daily vegetable and fruit consumption. Chourdakis et al42 revealed that more than half of students reported consumption of vegetables and fruits at least three times per week among medical students in northern Greece. Meanwhile, a study from Malaysia revealed 19% of university students ate vegetables more than three times per week.8

The World Health Organization recommendations are that adults should eat a minimum of five servings, or 4000 g, of vegetables and fruits daily.43 In Saudi Arabia, dietary recommendations that originate from the Ministry of Health as the Healthy Palm Saudi dietary guidelines (Alnakhala Elgethaiya), aimed at enhancing the consumption of healthier diets recommend eating three to five servings of vegetables and two to four servings of fruits on a daily basis.44 Adequate consumption of vegetables and fruits protects against chronic diseases like cardiovascular diseases, obesity, and some cancer types.45

Students usually choose fast food due to its availability, taste, convenience, and low costs.46 This study showed that 37% of students ate fried food one to two times per week, and 37.8% eat it three to four times per week. This study also showed that most of respondents (65.9%) ate fried foods at restaurants, which concurs with other studies.22 In Riyadh, the average frequency of fast-food consumption was 4.5 times per week among youth.47 A Malaysian study revealed that 73.5% of medical students consumed fast food more than two times per week.14

In Damascus, Syria, only 14% of adolescents ate fast foods more than four times per week.2 Chin and Nasir28 revealed that only 4.7% of students went to fast-food restaurants in Pahang, Malaysia. Westernization, which has resulted in nutrition changes, has had a major effect on the increased risk of unhealthy lifestyles in Arab countries.48 Fast food rich in fat and physical inactivity were found to be risk factors for coronary heart disease among Saudi male university students at Dammam City49 and in clinical years male medical students at KAU.50

Most of the participants of the present study ate their meals with family and friends on a daily basis (44.2%), which was slightly higher than that reported for Lebanese university students (42.7%),22 but lower than what has been reported for Malaysian medical students (81.80%).14

Stress is considered a general body response that affects the body’s ability to maintain homeostasis. Stress is a global problem due to its negative impact on human health.51 Many researchers have stated that medical students have significant amounts of stress throughout their years of university life.52,53 The results of this study revealed that many students eat because of negative emotions like feeling lonely (44.7%), nervous (42.1%), or bored (51.1%). Conversely, others sometimes eat due to feeling happy (56.6%). The stressful lifestyles of medical students may be a contributing factor for negative emotions, and these rates were supported by the eating habit scores exhibited in this study, which are significantly higher for students who responded “never” to various psychological questions such as, Do you eat because of feeling lonely? Do you feel completely out of control when it comes to food? Do you eat so much that your stomach hurts? Do you eat because you are feeling upset or nervous? Do you eat because you are bored? And Do you eat because you are happy? Former studies reported that the behavioral effects of stress might influence eating patterns, where people living in a stressful environment consumed more food as a way of coping with the stress.54

The association between stress and eating habits in medical students has previously been studied in different populations.10,55,56 Several researchers have shown a prevalence of stress among medical students, ranging from 28.9% to 61.4% in Saudi Arabia, Egypt, the United Kingdom, Malaysia, and Thailand.5760 In the present study, the eating habits scores were lower for those who answered yes to the questions whether they ate because of feeling lonely, ate until their stomach hurt, ate because of feeling upset or nervous, and ate because of feeling bored. Stress in medical students may be due to workloads, the commuting distance between home and the university, and the result of incorrect homework assignments without any specific and clear solutions offered.14,61 In a study conducted in Kuwait, Ahmed et al revealed that stress is highly associated with unhealthy food selection.62 For some students, these situations can generate stress that affects the appetite and they skip meals. They will show unhealthy eating behaviors, consuming fast food, food that are high in fats, sweets, and soft drinks.62 The development of new strategies in medical schools that aim at reducing stress will be positive for student health.63 The eating habits modified by stress need to be reversed, with the aim of producing a positive impact and better health for the students in their studies.51

In the present study, most of the students (53.7%) reported that a balanced diet was one that contains a variety of foods. In Abha, Saudi Arabia, most of the students (65.62%) knew what constitutes a balanced diet.21 A study at Midwestern University in the state of Arizona in the United States among 181 female and 105 male students revealed that 94.4% of the students agreed that it is important to eat different types of food for better health.64 In another study, healthful food was known to be foods that contain more vegetables and fruits and are low in fat content.65

Limitations

This study design was cross-sectional, which does not allow for establishing causal relationships. Another limitation of this study is the absence of anthropometric measurements from the students. In addition, the students in this study were from just one medical college, and therefore, they may not be representative of all university medical students in Saudi Arabia.

Conclusion

Most medical students had unhealthy dietary habits and physical inactivity. The unhealthy dietary habits were irregular meals, inadequate consumption of fruits and vegetables, and eating too many fried and fast foods. Socioeconomic and psychological aspects were significantly affected by the eating habits of the students. Nutritional education for medical students should be improved to enhance healthy eating habits and lifestyles, along with adherence to healthier diets. Future studies are recommended to use larger sample sizes and include students from different medical universities in Saudi Arabia.

Acknowledgment

The authors are thankful to the students of KAU for their participation in this study.

Funding Statement

This work was funded by the Deanship of Scientific Research (DSR), KAU, Jeddah, under grant No. DF-339-140-1441. The authors acknowledge DSR with thanks for their technical and financial support.

Statement of Ethics

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Ethical Approval ref. No. 244-1441. The protocol of the present study was approved by the Research Ethics Committee of KAU, Jeddah, Saudi Arabia. All participants were informed about the nature of the study and the confidentiality of their responses. Answering the online questionnaire was considered consent to participate.

Data Sharing Statement

The authors declare that they had full access to all of the data in this study, and the authors take complete responsibility for the integrity of the data and the accuracy of the data analysis. All original data are available in the Department of Family Medicine, KAU, Jeddah, Saudi Arabia. Data used to support the findings of this study are available from the corresponding author upon request.

Author Contributions

All authors contributed to the study design, data collection and analysis, drafting and revising of the manuscript, and all authors gave final approval of the version to be published. In addition, all authors agree to be accountable for all aspects of the work.

Disclosure

No authors have any conflicts of interest to declare.

References

  • 1.Nelson MC, Story M, Larson NI, Neumark‐Sztainer D, Lytle LA. Emerging adulthood and college‐aged youth: an overlooked age for weight‐related behavior change. Obesity. 2008;16(10):2205–2211. doi: 10.1038/oby.2008.365 [DOI] [PubMed] [Google Scholar]
  • 2.Musaiger AO, Kalam F. Dietary habits and lifestyle among adolescents in Damascus, Syria. Ann Agric Environ Med. 2014;21:2. doi: 10.5604/1232-1966.1108616 [DOI] [PubMed] [Google Scholar]
  • 3.King KA, Mohl K, Bernard AL, Vidourek RA. Does involvement in healthy eating among university students differ based on exercise status and reasons for exercise? Calif J Health Promot. 2007;5(3):106–119. doi: 10.32398/cjhp.v5i3 [DOI] [Google Scholar]
  • 4.Mahfouz AA, Abdelmoneim I, Khan MY, et al. Obesity and related behaviors among adolescent school boys in Abha City, Southwestern Saudi Arabia. J Trop Pediatr. 2007;54(2):120–124. doi: 10.1093/tropej/fmm089 [DOI] [PubMed] [Google Scholar]
  • 5.Al-Hazzaa HM, Abahussain NA, Al-Sobayel HI, Qahwaji DM, Musaiger AO. Physical activity, sedentary behaviors and dietary habits among Saudi adolescents relative to age, gender and region. Int J Behav Nutr Phys Act. 2011;8(1):140. doi: 10.1186/1479-5868-8-140 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Adam A, Osama S, Muhammad KI. Nutrition and food consumption patterns in the Kingdom of Saudi Arabia. Pak J Nutr. 2014;13(4):181. doi: 10.3923/pjn.2014.181.190 [DOI] [Google Scholar]
  • 7.Sogari G, Velez-Argumedo C, Gómez M, Mora C. College students and eating habits: a study using an ecological model for healthy behavior. Nutrients. 2018;10(12):1823. doi: 10.3390/nu10121823 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Gan WY, Mohn NM, Zalilah MS, Hazizi AS. Differences in eating behaviours, dietary intake and body weight status between male and female Malaysian University students. Malays J Nutr. 2011;17(2):213–228. [PubMed] [Google Scholar]
  • 9.Sakamaki R, Toyama K, Amamoto R, Liu C-J, Shinfuku N. Nutritional knowledge, food habits and health attitude of Chinese university students–a cross sectional study. BMC Nutr. 2005;4(1):4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Al-Qahtani MH. Dietary habits of Saudi medical students at University of Dammam. Int J Health Sci. 2016;10(3):353–362. [PMC free article] [PubMed] [Google Scholar]
  • 11.Mikolajczyk RT, El Ansari W, Maxwell AE. Food consumption frequency and perceived stress and depressive symptoms among students in three European countries. BMC Nutr. 2009;8(1):31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Tian-Ci Quek T, Tam W-S, Tran BX, et al. The global prevalence of anxiety among medical students: a meta-analysis. Int J Environ Res Public Health. 2019;16(15):2735. doi: 10.3390/ijerph16152735 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.De La Cruz N, Crookston B, Dearden K, et al. Who sleeps under bednets in Ghana? A doer/non-doer analysis of malaria prevention behaviours. Malar J. 2006;5(1):61. doi: 10.1186/1475-2875-5-61 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Ganasegeran K, Al-Dubai SA, Qureshi AM, Al-Abed A-AA, Rizal A, Aljunid SM. Social and psychological factors affecting eating habits among university students in a Malaysian medical school: a cross-sectional study. BMC Nutr. 2012;11(1):48. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Kagan DM, Squires RL. Compulsive eating, dieting, stress, and hostility among college students. J Coll Stud Personnel. 1984;25(3):213–220. [Google Scholar]
  • 16.El Ansari W, Stock C, Mikolajczyk RT. Relationships between food consumption and living arrangements among university students in four European countries-a cross-sectional study. BMC Nutr. 2012;11(1):28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.El-Mouzan MI, Al-Salloum AA, Al-Herbish AS, Qurachi MM, Al-Omar AA. Effects of education of the head of the household on the prevalence of malnutrition in children. Saudi Med J. 2010;31(3):304–307. [PubMed] [Google Scholar]
  • 18.Farghaly NF, Ghazali BM, Al-Wabel HM, Sadek AA, Abbag FI. Life style and nutrition and their impact on health of Saudi school students in Abha, Southwestern region of Saudi Arabia. Saudi Med J. 2007;28(3):415–421. [PubMed] [Google Scholar]
  • 19.Al-Nakeeb Y, Lyons M, Collins P, et al. Obesity, physical activity and sedentary behavior amongst British and Saudi youth: a cross-cultural study. Int J Environ Res Public Health. 2012;9(4):1490–1506. doi: 10.3390/ijerph9041490 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Al-Rethaiaa AS, Fahmy A-EA, Al-Shwaiyat NM. Obesity and eating habits among college students in Saudi Arabia: a cross sectional study. BMC Nutr. 2010;9(1):39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Alshahrani MM, Chandramohan S. A cross-sectional study on prevalence of obesity and its association with dietary habits among college students in Abha, Saudi Arabia. Int J Community Med Public Health. 2017;4(5):1406–1412. doi: 10.18203/2394-6040.ijcmph20171747 [DOI] [Google Scholar]
  • 22.Rizk S, Yahia N, Achkar A, Abdallah A. Eating habits and obesity among Lebanese university students. Nutr J. 2008;7:32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Ahadi Z, Qorbani M, Kelishadi R, et al. Association between breakfast intake with anthropometric measurements, blood pressure and food consumption behaviors among Iranian children and adolescents: the CASPIAN-IV study. Public Health. 2015;129(6):740–747. doi: 10.1016/j.puhe.2015.03.019 [DOI] [PubMed] [Google Scholar]
  • 24.Giovannini M, Verduci E, Scaglioni S, et al. Breakfast: a good habit, not a repetitive custom. J Int Med Res. 2008;36(4):613–624. doi: 10.1177/147323000803600401 [DOI] [PubMed] [Google Scholar]
  • 25.Moy F, Johari S, Ismail Y, Mahad R, Tie F, Wan ismail WA. Breakfast skipping and its associated factors among undergraduates in a public university in Kuala Lumpur. Malays J Nutr. 2009;15(2):165–174. [PubMed] [Google Scholar]
  • 26.Abalkhail B, Shawky S. Prevalence of daily breakfast intake, iron deficiency anaemia and awareness of being anaemic among Saudi school students. Int J Food Sci Nutr. 2002;53(6):519–528. doi: 10.1080/09637480220164370 [DOI] [PubMed] [Google Scholar]
  • 27.bin Zaal A, Musaiger A, D’Souza R. Dietary habits associated with obesity among adolescents in Dubai, United Arab Emirates. Nutr Hosp. 2009;24(4):437–444. [PubMed] [Google Scholar]
  • 28.Chin Y, Mohd Nasir M. Eating behaviors among female adolescents in Kuantan district, Pahang, Malaysia. Pak J Nutr. 2009;8(4):425–432. doi: 10.3923/pjn.2009.425.432 [DOI] [Google Scholar]
  • 29.Isa KAM, Masuri MG. The association of breakfast consumption habit, snacking behavior and body mass index among university students. Am J Food Nutr. 2011;1(2):55–60. doi: 10.5251/ajfn.2011.1.2.55.60 [DOI] [Google Scholar]
  • 30.Tanaka M, Mizuno K, Fukuda S, Shigihara Y, Watanabe Y. Relationships between dietary habits and the prevalence of fatigue in medical students. Nutrition. 2008;24(10):985–989. doi: 10.1016/j.nut.2008.05.003 [DOI] [PubMed] [Google Scholar]
  • 31.Ozdogan Y, Ozcelik AO, Surucuoglu MS. The breakfast habits of female university students. Pak J Nutr. 2010;9(9):882–886. doi: 10.3923/pjn.2010.882.886 [DOI] [Google Scholar]
  • 32.Ramli NN, Appukutty M. Breakfast consumption association with body status and physical activity among female university students. Malaysian J Mov Health Exercise. 2018;7(2). doi: 10.15282/mohe.v7i2.229 [DOI] [Google Scholar]
  • 33.Alam P. Nutritional status and eating practices among university students in selected universities in Selangor, Malaysia. Asian J Clin Nutr. 2012;4(3):77–87. doi: 10.3923/ajcn.2012.77.87 [DOI] [Google Scholar]
  • 34.Bashour H. Survey of dietary habits of in-school adolescents in Damascus, Syrian Arab Republic. East Mediterr Health J. 2004;10(6):853–862. [PubMed] [Google Scholar]
  • 35.Musaiger A, Bader Z, Al-Roomi K, D’souza R. Dietary and lifestyle habits amongst adolescents in Bahrain. Food Nutr Res. 2011;55(1):7122. doi: 10.3402/fnr.v55i0.7122 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Aparicio A, Rodríguez-Rodríguez E, Aranceta-Bartrina J, et al. Differences in meal patterns and timing with regard to central obesity in the ANIBES (‘Anthropometric data, macronutrients and micronutrients intake, practice of physical activity, socioeconomic data and lifestyles in Spain’) Study–CORRIGENDUM. Public Health Nutr. 2017;20(13):2364–2373. doi: 10.1017/S1368980017000635 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Al-Otaibi HH. The pattern of fruit and vegetable consumption among Saudi university students. Glob J Health Sci. 2014;6(2):155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Azm SA, Elebiary HA. Prevalence of overweight and obesity in relation to life-style among Saudi Arabian female nursing students. Med J Cairo Univ. 2010;78(1):377–385. [Google Scholar]
  • 39.Khalid U, Nosheen F, Raza MA, et al. A comparative study about the daily intake of fruits and vegetables among female students of two universities of Faisalabad. Pak J Nutr. 2011;10(7):684–689. doi: 10.3923/pjn.2011.684.689 [DOI] [Google Scholar]
  • 40.Keller S, Maddock JE, Hannöver W, Thyrian JR, Basler H-D. Multiple health risk behaviors in German first year university students. Prev Med. 2008;46(3):189–195. doi: 10.1016/j.ypmed.2007.09.008 [DOI] [PubMed] [Google Scholar]
  • 41.Dodd LJ, Al-Nakeeb Y, Nevill A, Forshaw MJ. Lifestyle risk factors of students: a cluster analytical approach. Prev Med. 2010;51(1):73–77. doi: 10.1016/j.ypmed.2010.04.005 [DOI] [PubMed] [Google Scholar]
  • 42.Chourdakis M, Tzellos T, Papazisis G, Toulis K, Kouvelas D. Eating habits, health attitudes and obesity indices among medical students in northern Greece. Appetite. 2010;55(3):722–725. doi: 10.1016/j.appet.2010.08.013 [DOI] [PubMed] [Google Scholar]
  • 43.WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004;363(9403):157–163. doi: 10.1016/S0140-6736(03)15268-3 [DOI] [PubMed] [Google Scholar]
  • 44.Epuru S, Eideh A, Bayoud AA, Alshammari E. Fruit and vegetable consumption trends among the female university students in Saudi Arabia. Eur Sci J. 2014;10(12). [Google Scholar]
  • 45.Hung H-C, Joshipura KJ, Jiang R, et al. Fruit and vegetable intake and risk of major chronic disease. J Natl Cancer Inst. 2004;96(21):1577–1584. doi: 10.1093/jnci/djh296 [DOI] [PubMed] [Google Scholar]
  • 46.Rydell SA, Harnack LJ, Oakes JM, Story M, Jeffery RW, French SA. Why eat at fast-food restaurants: reported reasons among frequent consumers. J Am Diet Assoc. 2008;108(12):2066–2070. doi: 10.1016/j.jada.2008.09.008 [DOI] [PubMed] [Google Scholar]
  • 47.Collison KS, Zaidi MZ, Subhani SN, Al-Rubeaan K, Shoukri M, Al-Mohanna FA. Sugar-sweetened carbonated beverage consumption correlates with BMI, waist circumference, and poor dietary choices in school children. BMC Public Health. 2010;10(1):234. doi: 10.1186/1471-2458-10-234 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Madanat HN, Brown RB, Hawks SR. The impact of body mass index and Western advertising and media on eating style, body image and nutrition transition among Jordanian women. Public Health Nutr. 2007;10(10):1039–1046. doi: 10.1017/S1368980007666713 [DOI] [PubMed] [Google Scholar]
  • 49.Sabra AA, Taha AZ, Al-Sebiany AM, Al-Kurashi NY, Al-Zubier AG. Coronary heart disease risk factors: prevalence and behavior among male university students in Dammam City, Saudi Arabia. J Egypt Public Health Assoc. 2007;82(1–2):21–42. [PubMed] [Google Scholar]
  • 50.Al-Gelban KS. Dietary habits and exercise practices among the students of a Saudi Teachers’ Training College. Saudi Med J. 2008;29(5):754. [PubMed] [Google Scholar]
  • 51.Elshurbjy AJ, Ellulu MS. Association between stress and dietary behaviors among university students: mini-review. Med Clin Arch. 2017;1. doi: 10.15761/MCA [DOI] [Google Scholar]
  • 52.Qureshi SR, Abdelaal AM, Janjua ZA, et al. Irritable bowel syndrome: a global challenge among medical students. Cureus. 2016;8(8). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Saeed AA, Bahnassy AA, Al-Hamdan NA, Almudhaibery FS, Alyahya AZ. Perceived stress and associated factors among medical students. J Family Community Med. 2016;23(3):166. doi: 10.4103/2230-8229.189132 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Gower B, Hand CE, Crooks ZK. The relationship between stress and eating in college-aged students. Undergrad Res J Hum Sci. 2008;7:1–9. [Google Scholar]
  • 55.Fabian C, Pagan I, Rios JL, et al. Dietary patterns and their association with sociodemographic characteristics and perceived academic stress of college students in Puerto Rico. P R Health Sci J. 2013;32(1). [PubMed] [Google Scholar]
  • 56.Goswami B. Prevalence of stress and its association with body weight among the medical students of Jorhat Medical College and Hospital, Jorhat. Int J Sci Study. 2017;4(11):1–3. [Google Scholar]
  • 57.Firth J. Levels and sources of stress in medical students. Br Med J (Clin Res Ed). 1986;292(6529):1177–1180. doi: 10.1136/bmj.292.6529.1177 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Saipanish R. Stress among medical students in a Thai medical school. Med Teach. 2003;25(5):502–506. doi: 10.1080/0142159031000136716 [DOI] [PubMed] [Google Scholar]
  • 59.Sherina M, Rampal L, Kaneson N. Psychological stress among undergraduate medical students. Med J Malaysia. 2004;59(2):207–211. [PubMed] [Google Scholar]
  • 60.El-Gilany A-H, Amr M, Hammad S. Perceived stress among male medical students in Egypt and Saudi Arabia: effect of sociodemographic factors. Ann Saudi Med. 2008;28(6):442–448. doi: 10.5144/0256-4947.2008.442 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Power JJ. Disordered eating patterns in university students and links with stress coping: a literature review and discussion. Adv Pract Nurs. 2016;1(108):10–4172. [Google Scholar]
  • 62.Ahmed F, Al-Radhwan L, Al-Azmi G, Al-Beajan M. Association between stress and dietary behaviours among undergraduate students in Kuwait: gender differences. J Nutr Health Sci. 2014;1(1):14–16. [Google Scholar]
  • 63.Austin SB, Melly SJ, Sanchez BN, Patel A, Buka S, Gortmaker SL. Clustering of fast-food restaurants around schools: a novel application of spatial statistics to the study of food environments. Am J Public Health. 2005;95(9):1575–1581. doi: 10.2105/AJPH.2004.056341 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Davy SR, Benes BA, Driskell JA. Sex differences in dieting trends, eating habits, and nutrition beliefs of a group of midwestern college students. J Am Diet Assoc. 2006;106(10):1673–1677. doi: 10.1016/j.jada.2006.07.017 [DOI] [PubMed] [Google Scholar]
  • 65.Wardle J, Haase AM, Steptoe A, Nillapun M, Jonwutiwes K, Bellisie F. Gender differences in food choice: the contribution of health beliefs and dieting. Ann Behav Med. 2004;27(2):107–116. doi: 10.1207/s15324796abm2702_5 [DOI] [PubMed] [Google Scholar]

Articles from International Journal of General Medicine are provided here courtesy of Dove Press

RESOURCES