Beirut Arab University, Nutrition & Dietetics, Corniche El Mina, Tripoli, Lebanon
Received date: September 28, 2015; Accepted date: October 29, 2015; Published date: November 05, 2015
Citation: Kassas GE (2015) Obesity Risk Factors among Beirut Arab University Students in Tripoli-Lebanon. J Nutr Food Sci 5:421. doi: 10.4172/2155-9600.1000421
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.
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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.
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  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 . 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 . 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) .
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)  and the Centres for Disease Control and Prevention (CDC) Global School Health Survey ; 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) . 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  as low, moderate and high.
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|
|Age||20.10 ± 1.70||20.41 ± 1.88||19.80 ± 1.45||0|
|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 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%)|
|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.
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|
|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|
|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%)|
|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|
|Â 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%)|
|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|
|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%)|
|Â Fresh fruit juice|
|Never/rarely||140 (28.2%)||56 (22.9%)||Â 84 (33.3%)||0|
|1-2 times/week||Â 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%)||Â 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%)|
|Â 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%)|
|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%)|
|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%)|
|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%)|
|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|
|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%)|
|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%)||Â 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|
|Not Daily||1||0.312, 0.958|
|Previous Smoker||0.823||0.308, 2.196|
|Current Smoker||1.581||0.848, 2.948|
|Frequency of eating at TV|
|Health sciences student|
|Number of snacks||0.847||0.559, 1.282|
|Food score tertiles|
|Tertile 2||1.153||0.568, 2.338|
|Tertile 3||1.852||0.933, 3.678|
|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|
|Twice a week||1.293||0.641, 2.606|
|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|
|Nutrition knowledge score||0.903||0.673, 1.212|
|Weight control measures|
|Living with parent||1||0.363, 4.003|
|Living with others||1.206|
|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 . 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 . When students fail to adapt adequately this could have negative consequences towards their health behaviours and subsequent weight status . 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 . 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 . In Saudi Arabia evaluation of weight status of 357 male university students showed that the prevalence of overweight and obesity was 37.5% . 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) . Published data among 390 medical students in Northern Greece showed consistent figures among males but lower figures among females (males: 38%, females: 9.6%) .
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. , 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) . 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 .
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 .
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 .
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 . 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 . 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 . 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 . 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.
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.
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.
No conflict of interest had been found between authors.