Food and Nutrition Sciences
Vol.08 No.01(2017), Article ID:73261,14 pages
Dyslipidemia and Related Risk Factors in a Saudi University Community
Department of Pharmacology and Toxicology, College of Pharmacy, Taif University, Taif, Kingdom of Saudi Arabia
Copyright © 2017 by author and Scientific Research Publishing Inc.
This work is licensed under the Creative Commons Attribution International License (CC BY 4.0).
Received: November 26, 2016; Accepted: December 31, 2016; Published: January 3, 2017
Background/Objectives: Cardio vascular diseases (CVD) are considered a serious and prompt growing health problem in the Kingdom of Saudi Arabia, since it is the leading cause of morbidity and mortality. This study aimed to assess the prevalence of dyslipidemia and related risk factors among Health Sciences students in Taif University, KSA. Subjects/Methods: A sample of 80 students aged 17 - 26 years, were selected randomly from the Health Sciences colleges, Taif University. Participants were screened for blood lipid profile, obesity/overweight and related risk factors through filling pretested food frequency questionnaire. Anthropometric measurements and fasting blood samples were taken for determination of blood lipid profile, namely total cholesterol (TC), low density lipoprotein-cholesterol (LDL-c), high density lipoprotein-cholesterol (HDL-c), triacylglycerol (TAG) and the ratio of TC/ HDL-c. Results: The prevalence of hypercholesterolemia (TC ≥ 200 mg/dl), hypertriglyceridemia (TAG ≥ 150 mg/dl), high LDL-c (≥130 mg/dl), low HDL-c (<40 mg/dl) was 17.7%, 5.0%, 16.8%, and 46.3%, respectively. The overall prevalence of dyslipidemia was 60.0%. Low HDL-c levels were the main prevalent dyslipidemia among participants. Overweight/obese students were more likely to show at least one undesirable lipid concentration. BMI, W_C, and academic level were significantly associated with unacceptable levels of HDL-c. TV viewing or computer/video games had significant effects on hypercholesterolemia, while only liver intake had significant impact on high TAG. Conclusions: Lipid study showed that dyslipidemia is very common and a significant health problem among university students of Taif University.
Overweight, Obesity, Dyslipidemia, Food Habits, Lifestyle
CVD (cardio vascular diseases) are the most important cause of morbidity and mortality among the population of KSA  . In 2008, WHO reported that CVD resulted in death of 144 in every 100,000 residents live in the Kingdom. Thus, coronary heart disease (CHD) could be considered as one of the main health problems in KSA in terms of morbidity, mortality, and the economic cost of management of CVD  .
Dyslipidemia was referred to as the occurrence of one or more of the following: TC ≥ 200 mg/dl, LDL-c ≥ 130 mg/dl, HDL-c < 40 mg/dl, TAG ≥ 150 mg/dl and non-HDL-c ≥ 145 mg/dl. Dyslipidemia is known as the major important adjustable risk variable for CVD. Reduction of incidence of CVD could be achieved via early diagnosis, diet and/or drug treatment. A clinical link was recognized between hyperlipidemia and new cases of heart disease   . Several factors such as genetic susceptibility, elevated level of serum total cholesterol (TC), and a reduced level of high-density lipoprotein (HDL- cholesterol) are the main risk factors related to CHD  . It is well known that obesity and dyslipidemia are positively correlated.
The prevalence of dyslipidemia was reported in several research works over the past twenty years in different locations of KSA and Gulf countries    . For instance, in a community-based study, the prevalence of high levels of cholesterol (>6.2 mmol/L) among Saudi males and females was 7%, and 8%, respectively. Furthermore, this study found as the age of participants increases, the prevalence of hypercholesterolemia increases accordingly. The prevalence of hypercholesterolemia for participants aged 40 to 59 years was 14% for males and 11% for females  . Additionally, this study showed a link between the rate of hypercholesterolemia and body mass index and smoking. Female subjects showed higher rate of hypercholesterolemia than males. However, this epidemiological study found that the prevalence of hypercholesterolemia among Saudi population is lower than their counterparts in Europe and America  . Al-Shehri et al.  reported that in Riyadh area (capital of KSA), 32.7% of schoolchildren had high risk levels of TC, 33.1% of students had LDL-c level in the high risk values, and 34.1% of participants had TAG level above desirable values. Furthermore, this study found that TAG levels increase with age in both sexes, in the meantime, level of LDL-c decreases with age, especially among schoolgirls. In a Kuwaiti university, the prevalence of high levels of blood lipids, overweight and obesity were 10.5%, 30.6% and 19.8%, respectively. Moreover, the relationship between overweight/obesity as well as dyslipidemia was approved. Dyslipidemia was considerably higher among male students aged 18+ years than female counterparts or male students aged 18 years or less  .
Therefore, CVD is considered a serious and prompt growing health problem in the Kingdom of Saudi Arabia, since it is the leading cause of morbidity and mortality. In adults, it is well known that the process of atherosclerosis underlying the CHD development starts early in life, therefore, the detection of those at higher risk of developing CHD at an early stage of life will be of great importance in the planning of prevention program. Determination of the dyslipidemia prevalence is crucial upon planning of health programs for primary as well as secondary prevention of CVD.
To the best of our knowledge this is the first human study conducted in a Saudi university community. It is a laboratory-, anthropometric- and questionnaire-based study. This study aimed to determine prevalence of dyslipidemia among male HSS, and to assess the effects of participants’ dietary habits and lifestyle on blood lipid chemistry. It also investigated link between body mass index (BMI), waist circumference (W_C) and different blood lipid parameters. The outcomes of the current study will be the foundation of the second phase (an intervention study).
2. Materials and Methods
2.1. Study Design and Study Population
A cross-sectional study was carried out among HSS at Taif University in the period from July to December 2015. All students from Health Sciences campus were invited to contribute to this study. Eighty male students which constitute about 10% of students of Health Sciences colleges were randomly selected. Subjects were asked to fast at least 10 hours prior blood work. This study is different from other epidemiological studies since it included structured questionnaire, anthropometric measurements, and laboratory investigations.
The study tools:
A structured pre-examined questionnaire was organized into two main parts. The first part obtained information about demographic characters of respondents. This part also collected anthropometric measurements by the research team including height (meters), weight (kg), and waist circumferences (cm). Participants’ height was determined to the closest 0.2 cm using a measuring scale equipped with sliding head part. Body mass was determined by calibrated digital weigh to the closest 0.1 kg after asking subjects to take off their shoes and heavy clothing if available. BMI was determined via standard equation  . The calculated BMIs were categorized to underweight, normal weight, overweight and obese (type I, II, and III). While cut off values for waist circumference (W_C) are as the following: if W_C < 102 cm, then the students are at lower risk of developing health problems, if W_C ≥ 102 cm, then students are at high risk  . The second part collected data about the lifestyle and eating habits among students.
2.2. Blood Sampling and Laboratory Investigations
Blood sample (5 ml) was collected from each student after signing the consent form by certified health workers for determination of blood lipid profile. Participants in this study were kindly asked to fast at least ten hours before blood work. Serum was separated using centrifugation of blood for 3 - 5 minutes at 5000 rpm, and serum samples were stored at −20˚C till further analysis. Serum lipids were analyzed for complete lipid profile in a certified laboratory (Elaj Laboratories, Jeddah, KSA). Expected values for TC, TAG, HDL-c, and LDL-c were adapted from the American Heart Association  . The prevalence of dyslipidemia was determined using Venn diagram (Figure 1).
2.3. Analysis of Data
Data obtained were coded, entered and analyzed using the statistical package for social sciences (IBM SPSS, version 22, Armonk, NY: IBM Corp.). Means, frequencies and percentages were utilized to illustrate different parameters. Chi-square test was employed to determine the relationship between the students’ demographic attributes, lifestyle, food habits and blood lipid profile. P-value < 0.05 was considered significant. Relative standard deviations for the age, BMI and W_C were calculated using IBM-SPSS.
Figure 1. Venn diagram showed the three criteria used to determine dyslipidemia rate among Health Sciences students in a Saudi university community. The green circle represents subjects with hypercholesterolemia. The yellow circle represents university students with hypertriglyceridemia, while the pink circle represents students with low HDL-c.
3. Results and Discussion
3.1. Effects of Student’s Demographic Characteristics on Blood Lipid Profile
A total of 80 university students participated in this study. Their Mean ± SD age, BMI and W_C were 21.8 ± 4.4, 25.4 ± 4.3 and 82.3 ± 12.8, respectively. The prevalence of dyslipidemia, overweight, obesity and overweight/obesity were 60.0%, 33.8%, 16.3%, and 50.1%, respectively.
Blood lipid analysis revealed that, the means ± SD of TAG, TC, HDL-c and LDL-c were 90.6 ± 58.1, 173.5 ± 29.8, 53.2 ± 25.4 and 105.0 ± 27.0, respectively. Majority 76 (95%) of students had normal TAG level, although 14 (17.7%) of them had borderline-high to high risk of TC levels. Regarding lipoproteins; only 43 (53.8%) of participated students were among low risk category of HDL-c, while37 (46.3%) of them were among moderate to high risk category. This means almost one in every two subjects had unfavorable level of HDL-c. Although less than half 38 (47.5%) of students had normal level of LDL-c, but 14 (16.8%) of students had borderline high to high risk level of LDL-c (Table 1). Ratio of TC/HDL-c indicated that 8 (10%) of students were at high risk.
Table 2 illustrated the effects of BMI and W_C on blood lipid chemistry among participated students. It was found that, 27 (33.8%) and 13 (16.3%) of students overweight and obese respectively, and almost most of students 72 (94.7%) among the no risk W_C
Table 1. Lipid profile among male Health Sciences students at Taif University, KSA.
According to the American Heart Association  , expected values for total cholesterol as follow: Desirable when TC < 200 mg/dl, borderline-high risk when TC 200 - 239 mg/dl, very high risk when TC > 200 mg/dl. Expected values for triacylglycerol as the following: normal values when TAG < 150 mg/dl, when TAG is the range 150 - 199 mg/dl then an individual is the borderline-high risk, if TAG is the range 200 - 499 mg/dl then he is in the high risk zone, when TAG level is higher than 500 mg/dl then he is in the very high risk zone. Expected values for LDL-c as follow: desirable level when LDL-c < 100 mg/dl, near optimal level when LDL-c is in the range 100 - 129 mg/dl, if LDL-c is the range 130 - 159 mg/dl, then an individual is the borderline-high risk, if LDL-c is the range 160 - 189 mg/dl then he is in the high risk zone, and finally if an individual’s LDL-c is 190 mg/dl or above he is in the very high risk zone. Expected values for HDL-c as follow: if HDL-c level for a male is less than 40 mg/dl then he is in a major heart risk factor, while females will be in the same risk if their HDL-c level is less than 50 mg/dl. If HDL-c level is higher than 60 mg/dl, it mean some protection against heart disease for both sexes. Association, A.H. Understand Your Risk for High Cholesterol. 2016 [cited 2016 Nov. 3, 2016 at 3:00 pm]; Available from: http://www.heart.org/HEARTORG/Conditions/Cholesterol/Cholesterol_UCM_001089_SubHomePage.jsp.
Table 2. Effects of BMI & W_C on blood lipid chemistry among male Health Sciences students at Taif University, KSA.
category. BMI and W_C had a significant effect on HDL-C. All students ranked under W_C risk category were among moderate or high risk of HDL-C classification (P = 0.039). On the other hand; 4 (10.3%) of normal BMI students and 6 (50%) of obese ones had high risk HDL-C levels (P = 0.037).
3.2. Effects of Demographic Characters on Blood Lipid Profile
Table 3 showed that, the majority of students whom living with family had normal TAG 64 (94.1%) and TC 55 (80.9%), while only 30 (44.1%) of them had normal LDL-c. there was no significant association between living with family and all lipid profile
Table 3. Effects of demographic characteristics on blood lipid profile among male Health Sciences students at Taif University, KSA.
analysis (P > 0.05).There was a significant difference between students’ academic levels and their HDL-c (P = 0.045). Students had low risk HDL-c from 1st years level were lower 4 (30.8%) than those from second year 7 (77.8%) and from fourth year students 11 (84.6%). Other demographic characters and their effects on lipid profile are declared in Table 3.
3.3. Effects of Life Style on Blood Lipid Profile
Although physical activity and doing exercise has an important effects on lipid level, overall 33 (41.3%) of participants did not exercise through their days. However, this effect was insignificant (P > 0.05). While watching TV or using computer had a significant effect on TC level (P = 0.043). Normal TC level was found higher among students spent shorter time on TV or computers usage. On the other hand, neither hours of night nor daylight sleep had a significant effect on lipid profile (P > 0.05). Table 4 showed that 28 (35%) of students sleep more than 4 hours at daylight and 10 (12.5%) of them sleep less than 4 hours at night.
3.4. Effects of Eating Habits and Selected Food Intake on Blood Lipid Profile
Table 5 and Table 6 illustrated that, in this study eating habits and most of investigated food intake had insignificant effects on lipid profile (P > 0.05). In Table 5, the results revealed that, numerous number of students had snacks as apart from regular meals either daily 18 (22.5%) or 4 - 6 times weekly 17 (21.3%). Drinking sugar-sweetened carbonated beverages is a common habit among youth. One fourth 20 (25%) of investigated students drink one or more cans of soft drink daily. Table 6 elucidates selected food intake habits among male students. It found that, 27 (33.8%) out of students had ate meat daily, while 10 (12.5%) of them drink milk daily and 43 (53.8%) of students consumed sea-food or fish only 1 - 2 times per month.
Serum TAG levels were normal in 95% of students, while only 5% of them either located within the borderline-high to high risk, which was much lower than Al-Shehri et al.  who showed that 34.1% of schoolchildren in KSA had TAG level above desirable values. Hypertriglyceridemia prevalence (5%) among HSS was close to their counterparts in a Kuwaiti university community (8.7%)  . In Egypt, Abdel Wahed et al.  found that 29.7% of college students had hypertriglyceridemia. Additionally, in KSA 33.6% of female college students had unacceptable level of triacylglycerol  . Results of this study indicated that hypertriglyceridemia rate (10.2%) was half of world’s adult population aged 15 to 65 years old  .
The prevalence of hypercholesterolemia (>200 mg/dl) was 17.7% which was almost the double findings of Al-Nuaim et al.  who found that the prevalence of high TC among Saudi male and female schoolchildren were 7%, and 8%, respectively. Our figures (17.7%) appear to be low particularly when comparing them to similar studies carried out on this age group. In a university-based studies conducted among several Arab countries, the prevalence of hypercholesterolemia ranged from about 27% to 38%      . However, in a Kuwaiti university, the prevalence of hypercholesterolemia (2.3%) was much lower than other studies and our results  . In a community-
Table 4. Effects of selected life style on blood lipid profile among male Health Sciences students at Taif University, KSA.
Table 5. Effects of selected eating habits on blood lipid profile among male Health Sciences students at Taif University, KSA.
Table 6. Effects of selected food intake habits on blood lipid profile among male Health Sciences students at Taif University, KSA.
based studies, hypercholesterolemia rate (17.7%) of the present study was much lower than in Turkish adults (37.5%)  , Spanish adults (24.3%)  , Saudi adults (43.3%)  , Jordanian adults (48.8%)  . Furthermore, our figures are encouraging when compare them to the prevalence of hypercholesterolemia (36.7%) among world’s adults aged from 15 to 65 years old  . Hypercholesterolemia rate (17.7%) among HSS reported in this study was very close to the prevalence of high blood cholesterol (17.0%) in American adults  .
An interesting finding of the present study was related to the high prevalence of low HDL-c. Results showed that 46.3% of male university students had HDL-c levels in the moderate to high risk values. This is much higher than figures reported in other studies on this age group    . The prevalence of elevated LDL-c (130 mg/dl and above) (16.8%) among Taif University students was much lower than their counterparts in Egypt (33.1%)  and in Iraq (30%)  .
The overall prevalence of dyslipidemia was 60.0%, which agreed with the findings of Abdel Wahed et al. (63.8%)  , and Al Sabah et al. (75%)  . On the other hand, dyslipidemia rate reported in this study was much higher than its rate in a Kuwaiti university (10.5%)  . Dyslipidemia (especially low HDL-c) reported in the present study was considerably linked with overweight/obesity. This is consistent with other studies     . Overweight/obesity was associated with other blood lipid parameters but this link was statistically insignificant. Considerable relationship between abdominal adiposity and low HDL-c level was noted, which agreed with findings of other studies   . Bibiloni et al.  found that adolescents with abdominal obesity had the highest rate of dyslipidemia, mostly high TAG.
The relationship between socio-demographic variables and dyslipidemia among HSS indicated that just academic level was associated with low HDL-c levels, but the remaining socio-demographic factors (living with family, family income, and location of residency) were associated with abnormal lipid profile but this link was statistically insignificant. Abdel Wahed et al.  found increased dyslipidemia rate among university students of medicine, computer sciences and information. The highest low HDL-c levels (69.3%) were noted for the refreshment students, which could be related to a significant weight gain during the first year. Many investigations showed that certain periods of our lives that are more likely to influence lifestyle and thus body mass  . For example, the transition from secondary school to university appears to be associated with a reduction in physical activities, an increase in deskbound activates, therefore, students gain weight  . The term “freshman 15” means that students in their 1st year gain 15 pounds. It is well known that obesity is associated with dyslipidemia. The current study has reported that one in every two students is either overweight and/or obese. This high rate of obesity and overweight could be the main cause of high dyslipidemia of the present study.
Significant association was noted between hours of TV viewing/use of computers/ playing video games and high TC. There is a negative association between hours of TV watching and physical activities. This means a reduction in physical activities and an increase in sedentary activities. Several intervention studies have shown enhancements in blood lipid chemistry with increase in physical activities   . Results of this study are consistent with similar studies    .
This is the first human study conducted at Taif University. This study combined different tools for data collection: laboratory, anthropometry and questionnaire. The overall prevalence of dyslipidemia was 60.0%.The prevalence of hypercholesterolemia, hypertriglyceridemia, high LDL-c, and low HDL-c was 17.7%, 5.0%, 16.8%, and 46.3%, respectively. Low HDL-c levels were the main prevalent dyslipidemia among participants. Overweight/obese students were more likely to show at least one undesirable lipid concentration. BMI, W_C, and academic level were significantly associated with unacceptable levels of HDL-c. TV viewing had significant effects on hypercholesterolemia, while only liver intake had significant impact on high TAG. This study recommends creation of health awareness plan to educate university students concerning healthy lifestyle and healthy food options. Special attention should be directed toward increase physical activities, decrease times spent on TV viewing, playing video games, using computers. It also recommends a decrease in liver intake and to increase foods that improve good cholesterol (HDL-c). Since our study population is relatively small and limited to the Health Sciences male university students, conclusions from the present study could not be generalized further. Further investigations using modern technologies for assessment of cardio-metabolic risk factors are needed. Additionally, further in-depth community based studies are recommended in order to plan an effective control program.
Author of this study conveys sincere thanks to students who kindly agreed to participate in this study. I thank Dr. Ahmed S. Eldalo, and students: Adnan A. Alnofeie, Waleed Y. Alghamdi, Salman S. Almutairi, Fahd S. Badyan for their valuable contribution in data collection. Special thanks are conveyed to Elaj Laboratories, Jeddah, KSA for their help in conducting lipid profile analysis.
Conflict of Interest
The author of this study declares no conflict of interest
This study was ethically approved by the Research Ethical Committee at Taif University, KSA (No. 85310). Each participant carefully read and signed a written consent form before filling the questionnaire or withdrawing blood sample.
Cite this paper
Hamam, F. (2017) Dyslipidemia and Related Risk Factors in a Saudi University Community. Food and Nu- trition Sciences, 8, 56-69. http://dx.doi.org/10.4236/fns.2017.81004
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