Obesity Risk Factors among Beirut Arab University Students in Tripoli- Lebanon
Journal of Nutrition & Food Sciences

Journal of Nutrition & Food Sciences
Open Access

ISSN: 2155-9600

Research Article - (2015) Volume 5, Issue 6

Obesity Risk Factors among Beirut Arab University Students in Tripoli- Lebanon

Germine El-Kassas*
Nutrition & Dietetics, Faculty of Health Sciences, Beirut Arab University, Lebanon
*Corresponding Author: Germine El-Kassas, M.D. PhD, Assisstant Professor of Nutrition, Nutrition & Dietetics, Faculty of Health sciences, Beirut Arab University, Lebanon, Tel: 96176704543


Background: Studies among university students in developing countries had shown high prevalence of obesity. Obesity among young people increases lifetime chronic disease risk. Unhealthy dietary patterns including high consumption of fast foods and meal skipping specially breakfast have been suggested as major risk factors for the development of obesity in developed countries. Limited studies had explored the dietary patterns among university students in developing countries.
Objective: The study objective was to investigate the major dietary risk factors associated with the development of overweight and obesity among university students.
Design: The study was conducted through a cross sectional survey. Data were collected using an interview questionnaire, anthropometric, and dietary tools. Subjects 497 students (49.3% males & 50.7%females) with a mean age of 20.1 ± 1.7 years were chosen randomly.
Setting: The study was conducted at Beirut Arab University (BAU)/ Tripoli campus during fall semester 2014.
Results: The results showed that 26.6% of the studied sample were overweight or obese. Males (67.4%) were statistical more obese than females (32.6%). More than three quarters of students (76.8%) reported irregular meal patterns and high fast food consumption. The strongest protective factors for the development of obesity were breakfast consumption (OR: 0.531, 95% CI: 0.299, 0.941) female sex (OR: 0.467, 95% CI: 0.244, 0.893) & being a health science student (OR: 0.11, 95% CI: 0.014, 0.883). Conclusions: Intervention programs to prevent overweight and obesity should be implemented among university students to encourage regular breakfast intake and adopting healthy food choices and lifestyle.

Keywords: Obesity, Risk, University, Students, Dietary, Lebanon


Sample and procedure

Through a cross-sectional study design a survey was conducted at Beirut Arab University (BAU) -Tripoli campus during the fall semester 2014/2015. To calculate the sample size a 30% prevalence rate of obesity was assumed with 95% confidence interval and 5% precision. The minimum required simple random sample was 266. Assuming a design effect of two to account for the effect of clusters the total final sample was 532 students. A proportionate cluster sample was selected (clusters being the 6 faculties at BAU). After exclusion of incomplete questionnaires 497 students aged 18-25 years were included in the study (49.3% males & 50.7% females). The study was approved by the institutional review board at BAU. Data collection was performed by trained researchers. Subjects were included if they fulfilled the inclusion criteria of being a Lebanese regular student within the age group of 18-25 years. The exclusion criteria included any student having any chronic metabolic disease like diabetes mellitus, chronic kidney or liver diseases and regular intake of specific drugs that may affect appetite or weight control. Those who expressed interest and provided their oral consent were recruited to participate in the study.

A structured anonymous interview questionnaire was developed by the authors based on previously published instruments which have been standardized and validated to be used among university students [20,22-27]. The questionnaire included questions to assess the sociodemographic characteristics, diet and food intake patterns and lifestyle behaviours followed by anthropometric measurements.


General and Socio-demographic characteristics: Questions inquiring about age, gender, the type of current residence and living conditions either alone or with family or friends, field of study, the number of semesters after joining the university and family medical history, were asked to define the general and socio- demographic characteristics of the study sample.

Anthropometric measurements: Anthropometric measurements including weight, height and waist circumference were assessed by trained field workers using standardized techniques [28] and calibrated scales. Standing height was measured to the nearest 0.1 cm without shoes, using a stadiometer. Participants wearing light clothes, were weighed to the nearest 0.1 kg, on a beam scale which was first calibrated using a standard weight and re-checked daily [29]. Body mass index (BMI) was calculated using the formula: body weight (Kg)/height (m2) in accordance with the World Health Organization (WHO) criteria for overweight and obesity classification [30]. BMI values were classified into four categories: underweight (BMI ≤ 18.5 kg/m2), normal weight (BMI between 18.5 and 24.9 kg/m2), overweight (BMI between 25 and 29.9 kg/m2), and obese ( ≥ 30 kg/m2) (30).Overweight and obese categories were combined in the analysis. Central obesity was assessed by waist circumference measurement. Measurements were done to the nearest 0.1 cm using a non-stretchable measuring tape with centimetre and millimetre markings. The World Health Organization cut-off points for the risk of metabolic complications were used to identify subjects with an enlarged waist circumference (>94 cm (M); >80 cm (W) [31].

Dietary intake assessment: The dietary and food intake patterns including the regularity of meal consumption, regular breakfast intake, no of meals and number of snacks were assessed. A short semi quantitative Food Frequency Questionnaire (FFQ) was used covering different food categories (including the five basic food categories typically consumed by the Lebanese population). The FFQ used in this study was adapted from the questionnaire earlier administered in the Lebanese population) [32] and the Centres for Disease Control and Prevention (CDC) Global School Health Survey [33]; the items used were fruits, vegetables, carbonated beverages, fruit juices, sweetened juices, hot beverages (coffee, tea, Nescafe), sweet snacks, salty snacks, fast food and fried foods. Intake categories were never, rarely, 1-2 times/ week, 3-4 times per week and >5 times daily. A diet score was developed based on the food frequency data to assess the dietary adequacy of the students. For this purpose, Intake categories were scored increasingly from 1-4 for healthy food items including: fruits, vegetables, fruit juices and milk. An inverse coding was assigned for unhealthy food items including: carbonated beverages, sweetened juices, hot beverages, sweet snacks, salty snacks, pastries and fried food. The total score was derived by summing the score for all the 10 food items included in the questionnaire. The total score varied from 10, the least healthy, to 40 the healthiest diet score.

Physical activity and lifestyle variables: In order to assess the physical activity level of the students, we used the short form of the International Physical Activity Questionnaire (IPAQ) for the last 7 days (IPAQ-S7S) [34]. We followed the instructions given in the IPAQ manual for reliability and validity. The IPAQ short form asks about three specific types of activity undertaken in leisure time, work-related and transport-related activity and domestic activities. The specific types of activity that were assessed are walking, moderate-intensity activities and vigorous intensity activities; frequency (measured in days per week) and duration (time per day) are collected separately for each specific type of activity. The items were structured to provide separate scores on walking; moderate-intensity; and vigorous-intensity activity as well as a combined total score to describe the overall level of activity. Computation of the total score requires summation of the duration (in minutes) and frequency (days) of walking, moderate-intensity and vigorous-intensity activity. We categorized physical activity (short form) according to the official IPAQ scoring protocol [35] as low, moderate and high.

Data analysis

Frequencies, means and standard deviations were used to describe various socio-demographic, lifestyles, dietary and anthropometric characteristics. Chi squared test and students t- test were used to compare proportions and means respectively. The odds of being overweight or obese were determined using multivariate binary logistic regression analysis models where all the covariates were entered simultaneously each as an independent variable. All analysis was two tailed and a P-value of <0.05 was considered statistically significant. All analysis was performed using the statistical package for social sciences (version 21, Armonk, NY, USA).


Characteristics of the subjects

A total of 497 university students with complete data was included in the analysis; 50.7% were females (N=245) and the remaining 49.3% were males (N=252). The mean age of participants was 20.1 ± 1.7 years, ranging between 17 and 25 years. Significantly higher differences were detected between male and female university students with respect to mean age, and field of study. (p<0.001). No significant differences were detected regarding the type of current residence and living conditions either alone or with family or friends, number of semesters after joining the university and family medical history (Table 1).

Variable Total (N= 497 ) Males (N=245) Females (N=252) P Value
Mean (SD)
Age 20.10 ± 1.70 20.41 ± 1.88 19.80 ± 1.45 0
N (%)
Academic Year
1st year 155 (31.2%) 78 (31.8%) 77 (30.6%) 0.838
2nd year 111 (22.3%) 52 (21.2%) 59 (23.4%)
3rd year and above 231 (46.5%) 115 (46.9%) 116 (46.0%)
Field of study
Other than health sciences 453 (91.1%) 244 (99.6%) 209 (82.9%) 0
Health Sciences 44 (8.9%) 1 (0.4%) 43 (17.1%)
Living arrangements
Living with parents 472 (95.0%) 229 (93.5%) 243 (96.4%) 0.111
Living with partner 9 (1.8%) 4 (1.6%) 5 (2.0%)
Living with friends 7 (1.4%) 4 (1.6%) 3 (1.2%)
Living alone 9 (1.8%) 8 (3.3%) 1 (0.4%)
Living area
Urban 307 (61.8%) 149 (60.8%) 158 (62.7%) 0.728
Sub-Urban 154 (31.0%) 76 (31.0%) 78 (31.0%)
Rural 36 (7.2%) 20 (8.2%) 16 (6.3%)
Family history of chronic illness
No 288 (57.9 156 (63.7%) 132 (52.4%) 0.011
Yes 209 (42.1)% 89 (36.3%) 120 (47.6%)

Table 1: General characteristics of the study sample.

Anthropometric measurements

The results of this study showed that the overall prevalence of overweight and obesity was 26.7% whereas; the prevalence of underweight among the students was only 4% (Table 2). Based on BMI classification, the prevalence of overweight and obesity was significantly more common among male students compared to females (36.3% vs.17.1%, respectively). On the other hand, 7.1% of the female students were underweight as compared to only 1.6% males. There were no significant differences detected as regards the central obesity assessed by waist circumference between the male and female students.

Variable Total (N= 497 ) Males (N=245 ) Females (N=252) p-Value
  Mean (SD)  
Weight 66.89 ± 13.75 74.86 ± 12.34 59.15 ± 10.18 0
Height 167.64 ± 8.82 174.23 ± 6.44 161.23 ± 5.45
BMI 23.69 ± 3.78 24.67 ± 3.64 22.74 ± 3.68
Waist circumference 77.28 ± 11.08 82.58 ± 10.05 72.13 ± 9.5008
N (%)
Underweight 22 (4.4%) 4 (1.6%) 18 (7.1%) 0
Normal 343 (69%) 152 (62%) 191 (75.8%)
Overweight/Obese 132 (26.6%) 89 (36.3%) 43 (17.1%)
Waist circumference
Normal 433 (87.1%) 215 (87.8%) 218 (86.5%) 0.678
Increased 64 (12.9%) 30 (12.2%) 34 (13.5%)

Table 2: Anthropometric measurements.

Dietary intake patterns and behaviours

The dietary intake patterns were compared by gender as shown in table 3. Unhealthy eating patterns were observed among both males and females where the majority (76.9%) of the students reported taking meals irregularly. Both males and females consumed less than 3 meals per day with males having a significantly higher number of meals than females.

Variable MEAN ± SD p-value
Number of meals 2.43 ± 0.70 2.53 ± 0.71 2.33 ± 0.68 0.001
Number of snacks 1.81 ± 0.67 1.82 ± 0.70 1.79 ± 0.635 0.657
N (%) Total(N= 497 ) Males(N=245 ) Females(N=252)  
Regularity of breakfast intake
Daily 267 (53.7%) 124 (50.6%) 143 (56.7%) 0.17
 Not daily 230 (46.3%) 121 (49.4%) 109 (43.3%)
Regularity of meals intake
Regular 115 (23.1%) 56 (22.9%) 59 (23.4%) 0.883
Not regular 328 (76.9%) 189 (77.1%) 193 (76.6%)
Frequency of eating at fast food restaurants /week
0-1 310 (62.4%) 117 (47.8%) 193 (76.6%) 0
2-3 154 (31.0%) 99 (40.4%) 55 (21.8%)
5 or more 33 (6.6%) 29 (11.8%) 4 (1.6%)
Meal size
Small 158 (31.8%) 53 (21.6%) 105 (41.7%) 0
Medium 242 (48.7%) 116 (47.3%) 126 (50.0%)
When stops eating
Until feeling half full 108 (21.7%) 39 (15.9%) 69 (27.4%) 0.001
Until feeling completely full 276 (55.5%) 136 (55.5%) 140 (55.6%) 0
Until the plate is empty 113 (22.7%) 70 (28.6%) 43(17.1%) 0
Types of diet
Vegetarian 2 (0.4%) 1 (0.4%) 1 (0.4%) 0.984
Other 495 (99.6%) 244 (99.6%) 251 (99.6%)
Meals in front of TV
2 or less/week 120 (24.1%) 55 (22.4%) 65 (25.8%) 8.63
2-4/week 223 (44.9%) 99 (40.4%) 124 (49.2%) 0.013
Daily 154 (31.0%) 91 (37.1%) 63 (25.0%)  

Table 3: Dietary intake patterns and behaviours of University Students Based on Gender.

Based on gender, there were significant differences of students’ dietary habits (Table 3). Males tend to eat more frequently at fast food restaurants as compared to females (40.4% males vs. 21.8% females eats 2-3 times/week). Concerning the meal size females tend to choose smaller (41.7% vs21.6%) or medium (50% vs.47.3%) sized meals while males tend to choose more the larger meals (31% vs. 8.3% ). In addition a higher percentage of male students reported more frequently eating meals while watching television. On the other hand, 56.7% of the female students reported eating breakfast daily compared to 50.6% male students but the difference did not reach statistical significance.

Analysis of the semi-quantitative FFQ had shown significant differences between male and female university students with respect to their consumption of individual food categories regularly consumed by the Lebanese population. Males consumed more carbonated beverages, pastries, Sweetened artificial juice, fresh fruit juice and fried foods than females (Table 4).

Variable Total (N= 497) Males (N=245 ) Females(N=252) p-Value
Whole fruits
Never/rarely 52 (10.5%) 32 (13.1%) 20 (7.9%) 0.12
1-2 times/week 123 (24.7%) 66 (26.9%) 57 (22.6%)
3-4times /week 105 (21.1%) 49 (20.0%) 56 (22.2%)
>5 times/week 217 (43.7%) 98 (40.0%) 119 (47.2%)
 Fresh fruit juice
Never/rarely 140 (28.2%) 56 (22.9%)  84 (33.3%) 0
1-2 times/week  211 (42.5%) 94 (38.4%) 117 (46.3%)
3-4times /week 85 (17.1%) 60 (24.5%) 25 (9.9%)
>5 times/week 61 (12.3%) 35 (14.3%) 26 (10.3%)
Never/rarely 39 (7.8%) 20 (8.2%) 19 (7.5%) 0.152
1-2 times/week 111 (22.3%) 65 (26.5%) 46 (18.3%)
3-4times /week 130 (26.2%) 60 (24.5%) 70 (27.8%)
>5 times/week 217 (43.7%) 100(40.8%) 117 (46.4%)
Never/rarely 160 (32.2%) 67 (27.3%) 93 (36.9%) 0.139
1-2 times/week 154 (31.0%) 81 (33.1%) 73 (29.0%)
3-4times /week 74 (14.9%) 41 (16.7%) 33 (13.1%)
>5 times/week 109 (21.9%) 56 (22.9%) 53 (21.0%)
Never/rarely 64 (12.9%) 24 (9.8%)  40 (15.9%) 0
1-2 times/week 171 (34.4%) 69 (28.2%) 102 (40.5%)
3-4times /week 104 (20.9%) 55 (22.4%) 49 (19.4%)
>5 times/week 158 (31.8%) 97 (39.6%) 61 (24.2%)
 Carbonated beverages
Never/rarely 127 (25.6%) 40 (16.3%) 87 (34.5%) 0
1-2 times/week 92 (18.5%) 38 (15.5%) 54 (21.4%)
3-4times /week 74 (14.9%) 39 (15.9%) 35 (13.9%)
Sweetened artificialjuice
Never/rarely 154 (31.0%) 57 (23.3%) 97 (38.5%) 0
1-2 times/week 147 (29.6%) 72 (29.4%) 75 (29.8%)
3-4times /week 103 (20.7%) 55 (22.4%) 48 (19.0%)
>5 times/week 93 (18.7%) 61 (24.9%) 32 (12.7%)
Sweet snacks
Never/rarely 65 (13.1%) 38 (15.5%) 27(10.7%) 0.347
1-2 times/week 117 (23.5%) 52 (21.2%) 65 (25.8%)
3-4times /week 131 (26.4%) 65 (26.5%) 66 (26.2%)
>5 times/week 184 (37.0%) 90 (36.7%) 94 (37.3%)
Salty snacks
Never/rarely 126 (25.4%) 65 (26.5%) 61 (24.2%) 0.567
1-2 times/week 167 (33.6%) 87 (35.5%) 80 (31.7%)
3-4times /week 86 (17.3%) 38 (15.5%) 48 (19%)
>5 times/week 118 (23.7%) 55 (22.4%) 63 (25.0%)
Never/rarely 70 (14.1%) 24 (9.8%) 46 (18.3%) 0.013
1-2 times/week 67 (13.5%) 30 (12.2%) 37 (14.7%)
3-4times /week 70 (14.1%) 32 (13.1%) 33 (15.1%)
>5 times/week 290 (58.4%) 159 (64.9%) 131 (52.0%)
Fried food
Never/rarely 55 (11.1%) 25 (10.2%) 30 (11.9%) 0.021
1-2 times/week 193 (38.8%) 81 (33.0%) 112 (44.4%)
3-4times /week 152 (30.6%) 81 (33.1%) 71 (28.2%)
>5 times/week 97 (19.5%) 58 (23.7%) 39 (15.5%)

Table 4: Food frequency intakes of some dietary items.

Physical activity and lifestyle behaviours

Table 5 describes the smoking status and physical activity levels based on gender. Smoking was significantly more prevalent among males than females. The majority of the female students (76.2%) reported that they had never smoked, on the other hand a significant (p<0.001) higher percentage of male students (42.9%) reported that they are currently regular smokers compared to only 17.1% of the female students.

Variable Total(N= 497)(%) Males(N=245 ) (%) Females (N=252) (%) p-Value
Smoking status
Never smoked 297 (59.8%) 105 (42.9%) 192 (76.2%) 0
Previous smoker 52 (10.5%) 35 (14.2%) 17(6.7%)
Current smoker 148 (29.8%) 105 (42.9) 43 (17.1%)
Physical activity
Inactive 217 (43.8%) 79 (32.2%) 138 (55.0%) 0
Active 279 (56.3%) 166 (67.8%) 113 (45.0%)
Low 217(43.8%) 79 (32.2%) 138 (55.0%) 0
Moderately active 180 (36.3%) 90 (36.7%) 90 (35.9%)
High active 99 (20.0%) 76 (31.0%)  23 (9.2%)

Table 5: Physical activity and lifestyle behaviors.

The overall prevalence of low physical activity among the studied sample was 43.8%. The prevalence of low physical activity was significantly higher among females (55%) compared to 32.2% in males.

Association between overweight /obesity and socio-demographic, dietary and lifestyle behaviors among university students

Multivariate binary logistic regression analysis revealed that daily breakfast consumption (OR: 0.531, 95% CI: 0.299,0.941) female sex (OR: 0, 95% CI:) & being a health science student (OR: 0.11, 95% CI: 0.014, 0.883) was found to be the strongest protective factors for the development of overweight and obesity among university students as shown in table 6.

Variable Odds Ratio 95% CI
Age 1.173 0.928, 1.481
Male 1 0.244, 0.893
Female 0.467
Breakfast frequency
Not Daily 1 0.312, 0.958
Daily 0.547
Smoking status
Never Smoked 1  
Previous Smoker 0.823 0.308, 2.196
Current Smoker 1.581 0.848, 2.948
Frequency of eating at TV
≤2/Week 1  
2-4/Week 1.006 0.513, 1.970
Daily 0.775 0.367, 1.635
Health sciences student
No 1 0.014, 0.881
Yes 0.109
Family history
No 1  
Yes 1.193 0.688, 2.069
Number of snacks 0.847 0.559, 1.282
Food score tertiles
Tertile 1 1  
Tertile 2 1.153 0.568, 2.338
Tertile 3 1.852 0.933, 3.678
Physical activity
No 1 0.479, 1.468
Yes 0.839
Frequency of eating at restaurant
0-1 Times per week 1  
2-3 Times per week 0.858 0.453, 1.623
5 times or more per week 0.757 0.273, 2.098
Meal size
Regular 1  
Medium 0.69 0.371, 1.285
Large 1.262 0.579, 2.752
GPA 1.061 0.609, 1.849
Rarely 1  
Twice a week 1.293 0.641, 2.606
Daily 1.374 0.672, 2.807
Trigger to stop eating
Until feeling half full 1  
Until feeling completely full 0.721 0.353, 1.471
Until the plate is empty 1.494 0.657, 3.401
Type of diet
Vegetarian 1  
Other 0.466 0.024, 9.235
Nutrition knowledge score 0.903 0.673, 1.212
Weight control measures
No 1 0.153, 2.807
Yes 0.655
Living with parent 1 0.363, 4.003
Living with others 1.206
Academic year
1st Year 1  
2nd Year 1.129 0.099, 12.886
3rd Year 1.081 0.096, 12.148

Table 6: Association between overweight/obesity and socio-demographic, dietary and lifestyle behaviors among university students.


Obesity is the most rapidly growing form of malnutrition [1,2]. Overweight and obesity in youth are powerful indicators of being overweight in adulthood and related chronic diseases [5]. The transition from school into university is usually coupled with a combination of stress, which can have a significant impact on students’ health and lifestyle choices [36]. When students fail to adapt adequately this could have negative consequences towards their health behaviours and subsequent weight status [37]. The aim/objective of the present study was to assess the prevalence of obesity of university students living in north Lebanon and to investigate the associated dietary and lifestyle risk factors.

The findings of the present study revealed that more than one quarter of the studied sample were overweight and obese. In addition, a higher percentage of males were overweight and obese compared to females 36.3% vs. 17.1%, respectively), while a higher percentage of females were underweight (7.1% of females versus 1.6% of males). These findings were comparable with some of the reported data in the Middle East and Europe. In Lebanon almost similar figures were reported among university students living in the capital [20]. In the United Arab Emirates, a cross-sectional survey reported that the prevalence rate of obesity was 35.7% in males and this figure was higher than the rate in female [38]. In Saudi Arabia evaluation of weight status of 357 male university students showed that the prevalence of overweight and obesity was 37.5% [39]. A recent study which evaluated the prevalence of overweight and obesity from 22 low and middle income and emerging economy countries 2014, reported that in Egypt the prevalence rates of overweight and obesity were significantly higher in males than females but both rates were much higher than the findings of the present study (50.8% and 33.8% in males and females respectively) [40]. Published data among 390 medical students in Northern Greece showed consistent figures among males but lower figures among females (males: 38%, females: 9.6%) [41].

On the other hand, some studies reported overall lower prevalence rates of overweight and obesity. Published data among Lebanese university students by Salameh et al. [21], in which a self-reported BMI was used to assess weight status, revealed lower rates of overweight and obesity. In Tunisia compared to figures of the present study, the prevalence, rates of overweight and obesity were lower among males but higher among females (28.8% , 25.3% respectively) [40]. Moreover; much lower prevalence rates ranging from 10% to 14% among university students had been reported in China, Turkey and Iran [42-44].

The lower rate of obesity among female students can be explained by the fact that females are more concerned about their body shape and weight status than males, due to cultural perceptions which encourage females to be slimmer. And thus may adopt various restrictive behaviours to limit their caloric intake and avoid weight gain [45,46]. In contrast studies among female university students in Saudi Arabia and Nigeria [47,48], reported a higher prevalence rates of overweight and obesity compared to males and the authors attributed that to sociocultural factors, body image misconception, physical inactivity and early marriage.

It has to be noted that differences encountered in the prevalence of overweight and obesity rates across countries may be attributed to socio- cultural factors, environmental, physical activity levels and nutritional knowledge and health awareness in these diversities of study samples across countries [49].

Research suggests that University students between the ages of 18 and 24 years have a high tendency to engage in unhealthy dietary and lifestyle habits including meal skipping, high fast food consumption and minimal physical activity [5,50]. Analysis of the dietary habits of the students in the present sample revealed an alarming adoption of unhealthy eating patterns and lifestyle habits. Our Results had shown that the majority of the studied sample (76.9%) had an irregular consumption of meals and students of both sexes have less than 3 meals daily (mean=2.43 ± 0.7). Furthermore, almost half of the students (46.3%) reported not having breakfast daily. These results were controversial to those previously reported among Lebanese university students, medical students in Greece, or in Turkey [20,41,51]. With the exception of high consumption of fried foods among Lebanese students, these studies indicated a far healthier eating pattern of the majority of students in terms of meal frequency, regularity and daily breakfast intake. This controversy could be attributed to the discrepancy in the levels of nutritional knowledge among those students and students of the present study. Students living in the capital city of Lebanon, medical students and those living in more developed countries could have better nutritional knowledge compared to students living in north Lebanon. This assumption has been further indicated in the present study by the finding of a significant association between health sciences students and lower tendency for the development of obesity.

It has been documented in the literature that regular breakfast intake is associated with a reduction in dietary fat, reduced impulsive snacking, lower cholesterol and lower body weight [52,53]. This was in accordance with our findings which revealed that daily breakfast intake was a significant protective factor against the development of overweight and obesity. Daily consumption of snacks in the present study was found to be significantly higher in males. However, the frequency of having snacks does not provide safe information about snack size and type [20].

A large proportion of male students in the present study reported a significantly higher frequency of fast food intake and larger meal sizes compared to females. These results were in accordance with published studies among university students in Northern Greece and Midwestern University in “country name” [41,54]. This could be explained by the fact that male students often select fast food due to its palatability, availability and convenience but females may have some concerns of the frequent consumption high fat meals in order to control their weight [55].

Females had shown healthier eating habits in terms of more frequent intake of fruits and vegetables, lower intake of fried food, carbonated drinks, pastries and sweetened artificial juices and had a significantly healthier diet score than males. The findings of lower intake of fruits and vegetables (healthy) and higher consumption of fast foods, fried foods and salty and sweet snacks of in the present compared to previously reported data among university students and youth populations in developed and developing countries [20,56,57] suggest the necessity of prompt actions to enhance adoption of more healthy eating habits.

The most important risk factors for the development of non-communicable diseases include Physical inactivity and tobacco smoking [58]. Evaluation of the physical activity levels of the present sample indicated a high prevalence of physical inactivity. Male students reported significantly higher levels of physical activity than females. This was in accordance with a recent study among Qatari students [59]. Although the link between physical activity and lowering the risk of obesity among both males and females has been established in a number of previous studies [56,60-62], the present study did not show a significant association between physical inactivity and overweight and obesity. Similar findings had been reported by other researchers who did not find a link between physical inactivity and overweight/ obesity either for male or female students despite showing that the men are more likely to engage in physical exercise in their free time [63]. Other studies indicate that the relationship between BMI and physical activity occurs only among men [40,64].

As regards smoking status, smoking was uncommon among the students (29.8% ) especially among females (17.1% ). This was in accordance with previously reported data in Lebanon which reported that 62.4% of the students do not smoke, 7.2% were ex-smokers and 30.3% were current smokers [20]. On the other hand controversial data were reported among university students in Spain and other European countries where a higher prevalence of smoking was detected among females [56,65]. This could be attributed to the differences in sociocultural and behavioural factors between Lebanon and these western countries.


The current research provides valuable data that could be used by policy makers, and university directors to plan strategies aiming at improving the health of future generations in Lebanon. The prevalence of overweight and obesity in the present sample may be lower in comparison to other published studies, but it is not low for what is considered to be health promoting and for disease prevention. Students had shown a relatively alarming prevalence of unhealthy dietary practices and lifestyle behaviours that should be targeted and modified. This could be achieved through promoting intervention programs that lead to changing the built environment and affecting behavioural modification of student’s lifestyle and dietary habits. Universities represent a great opportunity for focused nutritional education programmes. Promoting healthy dietary and weight management practices might be of great importance when developing health education programs.

University students are thought to be a significant proportion of the socio-economic elite of tomorrow and thus their habits and behaviours are most likely to become the norm. Therefore mobilization of governmental efforts and drawing the attention of international agencies and local communities is needed to reduce the prevalence of overweight and obesity through proper educational practices, public health campaigns, and intervention programs.

Study Limitations

The findings of this study are limited by the use of a sample of students from just one university which may not be a representative of all university students in north Lebanon. Although, students attending Beirut Arab University include diversity of socio-economic standards but the majority are from the middle class therefore, samples from different universities may provide a more inclusive picture of university students taking into consideration religion and socio-economic status. However, baseline data about weight status and dietary habits among a sample of university students was certainly obtained from the present study to illustrate the risk factors associated with obesity among university students in North Lebanon which has not been reported before.

Author Contributions

Germine El Kassas conceived and designed the study; she contributed towards the questionnaire design, data collection supervision, statistical analysis, data interpretation, drafting and finalizing the manuscript. Leila Itani had contributed significantly towards the statistical analysis, revising and approving the final version of the manuscript. Zeina El Ali was involved in the data collection, and data entry.

Financial Support


Conflict of Interest

No conflict of interest had been found between authors.


  1. [No authors listed] (2000) Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser 894: i-xii, 1-253.
  2. Haidar YM, Cosman BC (2011) Obesity epidemiology. Clin Colon Rectal Surg 24: 205-210.
  3. Popkin BM, Adair LS, Ng SW (2012) Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev 70: 3-21.
  4. Manson JE, Skerrett PJ, Greenland P, VanItallie TB (2004) The escalating pandemics of obesity and sedentary lifestyle. A call to action for clinicians. Arch Intern Med 164: 249-258.
  5. Pischon T, Nöthlings U, Boeing H (2008) Obesity and cancer. Proc Nutr Soc 67: 128-145.
  6. Yach D, Hawkes C, Gould CL, Hofman KJ (2004) The global burden of chronic diseases: overcoming impediments to prevention and control. JAMA 291: 2616-2622.
  7. Greenberg AS, Obin MS (2006) Obesity and the role of adipose tissue in inflammation and metabolism. Am J Clin Nutr 83: 461S-465S.
  8. Nasreddine L, Naja F, Tabet M, Habbal MZ, El-Aily A, et al. (2012) Obesity is associated with insulin resistance and components of the metabolic syndrome in Lebanese adolescents. Ann Hum Biol 39: 122-128.
  9. Rinaldi AE, de Oliveira EP, Moreto F, Gabriel GF, Corrente JE, et al. (2012) Dietary intake and blood lipid profile in overweight and obese schoolchildren. BMC Res Notes 5: 598.
  10. Mehio Sibai A, Nasreddine L, Mokdad AH, Adra N, Tabet M, et al. (2010) Nutrition transition and cardiovascular disease risk factors in Middle East and North Africa countries: reviewing the evidence. Ann Nutr Metab 57: 193-203.
  11. Sajwani RA, Shoukat S, Raza R, Shiekh MM, Rashid Q, et al. (2009) Knowledge and practice of healthy lifestyle and dietary habits in medical and non-medical students of Karachi, Pakistan. J Pak Med Assoc 59: 650-655.
  12. Nelson MC, Story M, Larson NI, Neumark-Sztainer D, Lytle LA (2008) Emerging adulthood and college-aged youth: an overlooked age for weight-related behavior change. Obesity (Silver Spring) 16: 2205-2211.
  13. Baldini M, Pasqui F, Bordoni A, Maranesi M (2009) Is the Mediterranean lifestyle still a reality? Evaluation of food consumption and energy expenditure in Italian and Spanish university students. Public Health Nutr 12: 148-155.
  14. King KA, Mohl K, Bernard AL, Vidourek RA (2007) Does involvement in healthy eating among university students differ based on exercise status and reasons for exercise? Californian Journal of Health Promotion 5: 106-119.
  15. Pengpid S, Peltzer K2 (2014) Prevalence of overweight/obesity and central obesity and its associated factors among a sample of university students in India. Obes Res Clin Pract 8: e558-570.
  16. Abolfotouh MA, Bassiouni FA, Mounir GM, Fayyad RCh (2007) Health-related lifestyles and risk behaviours among students living in Alexandria University Hostels. East Mediterr Health J 13: 376-391.
  17. Trujillo-Hernández B, Vásquez C, Almanza-Silva JR, Jaramillo-Virgen ME, Mellin-Landa TE et al. (2010) The frequency of risk factors associated with obesity and being overweight in university students from Colima, Mexico. Rev Salud Publica 12: 197-207.
  18. Gopalakrishnan S, Ganeshkumar P, Prakash MV, Christopher, Amalraj V (2012) Prevalence of overweight/obesity among the medical students, Malaysia. Med J Malaysia 67: 442-444.
  19. Yahia N, Achkar A, Abdallah A, Rizk S (2008) Eating habits and obesity among Lebanese university students. Nutr J 7: 32.
  20. Salameh P, Jomaa L, Issa C, Farhat G, Salamé J, et al. (2014) Assessment of dietary intake patterns and their correlates among university students in Lebanon. Front. Public Health.
  21. Huang YL, Song WO, Schemmel RA, Hoerr SM (1994) What do college students eat? Food selection and meal pattern Nutr Res 24: 1143-1153.
  22. Sneed J, Holdt CS (1991) Many factors influence college students' eating patterns. J Am Diet Assoc 91: 1380.
  23. Hertzler AA, Frary RB (1996) Family factors and fat consumption of college students. J Am Diet Assoc 96: 711-714.
  24. Debate RD, Topping M, Sargent RG (2001) Racial and gender differences in weight status and dietary practices among college students. Adolescence 36: 819-833.
  25. Bowman SA (2002) Beverage choices of young females: changes and impact on nutrient intakes. J Am Diet Assoc 102: 1234-1239.
  26. Sakamaki R, Amamoto R, Mochida Y, Shinfuku N, Toyama K (2005) A comparative study of food habits and body shape perception of university students in Japan and Korea. Nutr J 4: 31.
  27. Lee RD, Nieman DC (1993) Nutritional Assessment; Brown & Benchmark: Oxford, UK.
  28. WHO. The International Classification of Adult Underweight, Overweight and Obesity according to BMI.
  29. WHO: Waist Circumference and Waist-Hip Ratio Report of a WHO Expert Consultation Geneva, 8-11 December 2008.
  30. Issa C, Darmon N, Salameh P, Maillot M, Batal M, et al. (2011) A Mediterranean diet pattern with low consumption of liquid sweets and refined cereals is negatively associated with adiposity in adults from rural Lebanon. Int J Obes (Lond) 35: 251-258.
  31. Center for Disease Control (2010) Global School Based Student Health Survey.
  32. Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, et al. (2003) International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 35: 1381-1395.
  33. International Physical Activity Questionnaire (IPAQ). IPAQ Scoring Protocol.
  34. Dodd LJ, Al-Nakeeb Y, Nevill A, Forshaw MJ (2010) Lifestyle risk factors of students: a cluster analytical approach. Prev Med 51: 73-77.
  35. Von Ah D, Ebert S, Ngamvitroj A, Park N, Kang DH (2004) Predictors of health behaviours in college students. J Adv Nurs 48: 463-474.
  36. Musaiger AO, Lloyd OL, Al-Neyadi SM, Bener AB (2003) Lifestyle factors associated with obesity among male university students in the United Arab Emirates. Nutrition & Food Science 33: 145-147.
  37. Al-Rethaiaa AS, Fahmy AE, Al-Shwaiyat NM (2010) Obesity and eating habits among college students in Saudi Arabia: a cross sectional study. Nutr J 9: 39.
  38. Peltzer K, Pengpid S, Samuels TA, Özcan NK, Mantilla C, et al. (2014) Prevalence of overweight/obesity and its associated factors among university students from 22 countries. Int J Environ Res Public Health 11: 7425-7441.
  39. Chourdakis M, Tzellos T, Papazisis G, Toulis K, Kouvelas D (2010) Eating habits, health attitudes and obesity indices among medical students in northern Greece. Appetite 55: 722-725.
  40. Jingya B, Ye H, Jing W, Xi H, Tao H (2013) Quantitative analysis and comparison of BMI among Han, Tibetan, and Uygur university students in Northwest China. ScientificWorld Journal 2013: 180863.
  41. Nojomi M, Najamabadi S (2006) Obesity among university students, Tehran, Iran. Asia Pac J Clin Nutr 15: 516-520.
  42. Sanlier N, Yabanci N (2007) Relationship between body mass index, lipids and homocysteine levels in university students. J Pak Med Assoc 57: 491-495.
  43. Tamim H, Dumit N, Terro A, Al-Hourany R, Sinno D, et al. (2004) Weight control measures among university students in a developing country: a cultural association or a risk behavior. J Am Coll Nutr 23: 391-396.
  44. Wardle J, Haase AM, Steptoe A (2006) Body image and weight control in young adults: international comparisons in university students from 22 countries. Int J Obes (Lond) 30: 644-651.
  45. Al Qauhiz NM (2010) Obesity among Saudi Female University Students: Dietary Habits and Health Behaviors. J Egypt Public Health Assoc 85: 45-59.
  46. Olusamaya JO, Omotayo OA (2011) Prevalence of obesity among undergraduate students in Tai So[arin University of Education. Pak. J. Nutr 10: 940-946.
  47. Swinburn BA, Sacks G, Hall KD, McPherson K, Finegood DT, et al. (2011) The global obesity pandemic: shaped by global drivers and local environments. Lancet 378: 804-814.
  48. Franko DL, Cousineau TM, Trant M, Green TC, Rancourt D, et al. (2008) Motivation, self-efficacy, physical activity and nutrition in college students: Randomized controlled trial of an internet-based education program. Prev Med 47: 369-377.
  49. Ayranci U, Erenoglu N, Son O (2010) Eating habits, lifestyle factors, and body weight status among Turkish private educational institution students. Nutrition 26: 772-778.
  50. Calderon LL, Yu CK, Jambazian P (2004) Dieting practices in high school students. J Am Diet Assoc 104: 1369-1374.
  51. Schlundt DG, Hill JO, Sbrocco T, Pope-Cordle J, Sharp T (1992) The role of breakfast in the treatment of obesity: a randomized clinical trial. Am J Clin Nutr 55: 645-651.
  52. Driskell JA, Meckna BR, Scales NE (2006) Differences exist in the eating habits of university men and women at fast- food restaurants. Nutr Res 6: 524-530.
  53. Leblanc V, Bégin C, Corneau L, Dodin S, Lemieux S (2015) Gender differences in dietary intakes: what is the contribution of motivational variables? J Hum Nutr Diet 28: 37-46.
  54. Moreno-Gómez C, Romaguera-Bosch D, Tauler-Riera P, Bennasar-Veny M, Pericas-Beltran J, et al. (2012) Clustering of lifestyle factors in Spanish university students: the relationship between smoking, alcohol consumption, physical activity and diet quality. Public Health Nutr 15: 2131-2139.
  55. Al-Nakeeb Y, Lyons M, Collins P, Al-Nuaim A, Al-Hazzaa H, et al. (2012) Obesity, physical activity and sedentary behavior amongst British and Saudi youth: a cross-cultural study. Int J Environ Res Public Health 9: 1490-1506.
  56. World Health Organization (WHO) (2014) World Health Statistics-2014; World Health Organization (WHO) Press: Geneva, Switzerland.
  57. Al-Nakeeb Y, Lyons M, Dodd LJ, Al-Nuaim A (2015) An investigation into the lifestyle, health habits and risk factors of young adults. Int J Environ Res Public Health 12: 4380-4394.
  58. Hingorjo MR, Syed S, Qureshi MA (2009) Overweight and obesity in students of a dental college of Karachi: lifestyle influence and measurement by an appropriate anthropometric index. J Pak Med Assoc 59: 528-532.
  59. Trujillo-Hernández B, Vásquez C, Almanza-Silva JR, Jaramillo-Virgen ME, Mellin-Landa TE, et al. (2010) The frequency of risk factors associated with obesity and being overweight in university students from Colima, Mexico. Rev. Salud Publica 12: 197-207.
  60. Banwell C, Lim L, Seubsman SA, Bain C, Dixon J, et al. (2009) Body mass index and health-related behaviours in a national cohort of 87,134 Thai open university students. J Epidemiol Community Health 63: 366-372.
  61. Arroyo P, Loria A, Fernández V, Flegal KM, Kuri-Morales P, et al. (2000) Prevalence of pre-obesity and obesity in urban adult Mexicans in comparison with other large surveys. Obes Res 8: 179-185.
  62. Gómez M, Ruiz F, García, M, Granero, A, Piéron M (2009) Reasons mentioned by university student who practice physical and sporting activities. Rev Latinoamer Psicol 41: 5190-532.
  63. Bogdanovica I, Godfrey F, McNeill A, Britton J (2011) Smoking prevalence in the European Union: a comparison of national and transnational prevalence survey methods and results. Tob Control 20: e4.
Citation: Kassas GE (2015) Obesity Risk Factors among Beirut Arab University Students in Tripoli-Lebanon. J Nutr Food Sci 5:421.

Copyright: © 2015 Kassas GE. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.