Determinants of Blood Pressure among Youth in Ajman , UAE

Results Variables such as tobacco use, duration of sleep, Body Mass Index and gender were considered to assess the association with blood pressure. The mean age of the students was 19 years with a SD of 1.9 years. The mean systolic and diastolic blood pressure was 113.5 (SD 12.0) and 73.7 (SD 11.2) respectively with mean BMI of 24.9 (SD 5.7). A statistically significant association was observed between gender and blood pressure (p<0.05). The crude Odds Ratio (OR) observed for sleep duration and blood pressure was found statistically significant (p<0.05), but the adjusted OR was not statistically significant. Of the participants who sleep for more than 6 hours, majority (70%) have normal blood pressure. Nearly half of the participants who slept for less than 6 hours have pre-hypertension and/ or hypertension. There was statistically significant (p<0.005) association between Body Mass Index (BMI) and blood pressure (BP). The mean BMI among those with normal BP was 23.25 kg/m 2 with a SD of 4.6 and those with pre-hypertension and/ or hypertension was 27.6 kg/m 2 with a SD of 6.5.

years with a SD of 1.9 years.The mean systolic and diastolic blood pressure was 113.5 (SD 12.0) and 73.7 (SD 11.2) respectively with mean BMI of 24.9 (SD 5.7).A statistically significant association was observed between gender and blood pressure (p<0.05).The crude Odds Ratio (OR) observed for sleep duration and blood pressure was found statistically significant (p<0.05),but the adjusted OR was not statistically significant.Of the participants who sleep for more than 6 hours, majority (70%) have normal blood pressure.Nearly half of the participants who slept for less than 6 hours have pre-hypertension and/ or hypertension.There was statistically significant (p<0.005)association between Body Mass Index (BMI) and blood pressure (BP).The mean BMI among those with normal BP was 23.25 kg/m 2 with a SD of 4.6 and those with pre-hypertension and/ or hypertension was 27.6 kg/m 2 with a SD of 6.5.

Background
Hypertension is a major public health problem of concern across the world because of its association with increased risk of cardiovascular diseases.Youth (15 to 24 years) is an Corresponding Author: Dr. Jayadevan Sreedharan, Assistant Director, Research Division, Gulf Medical University, Ajman, UAE.Email: drjayadevans@gmail.comimportant period of growth and maturation, and most of the changes that occur during this period are continued into adulthood 1 .Essential hypertension may have its origins in early life and its co-morbidities are certainly a major burden on resources, and they reduce the productivity of those affected with hypertension 2 .Prospective studies have established increased left ventricular mass and peripheral resistance, with high blood pressure in childhood [3][4] .Raised BP in childhood has been recognized as one of the most important predictors of adult hypertension.This has generated an interest among researchers to investigate the pattern of blood pressure and its determinants in childhood and adolescence .Indeed, CVDs are known to be the leading cause of morbidity and mortality in the UAE among both the nationals and expatriates 11 .Of particular concern is the prevalence of obesity, which reaches approximately 24% among medical students 12 with reported high stress levels (65%), unhealthy diets (50%) and low levels of physical activity (77%) which is perhaps attributable to cultural and climatic restrictions 13 .Smoking has increased among men [14][15][16] .Hypertension is also common with a reported prevalence of 19-25% 17 , 15.3% in urban and 10.6% rural population 18 .The 15-24 years age is an important developmental stage in the life span of individuals as it is a transition period to adulthood.In Ajman, there is a lack of data about determinants of hypertension among youth.This information is important in planning life style modifications.Therefore, the present study was an attempt to assess the determinants of blood pressure such as gender, academic programme in which they were enrolled, tobacco use, number of meals and BMI among students in a medical university in Ajman, United Arab Emirates.

Materials and Methods
This study was conducted among entry year students in a Medical University of Ajman, United Arab Emirates.Students enrolled in Medicine, Dental Medicine, and Allied (Pharmacy and Physical Therapy) academic programmes during the year 2009-2010 were included in the study.Among 160 entry level students, 110 students participated in the study with a response rate of 69%.Verbal consent was obtained from the participants before the study.A selfadministered questionnaire was distributed among them to obtain information on socio-demographic characteristics, physical activity, habits, diet history, daily sleeping habits and family history of metabolic disorders.Their height, weight and blood pressure were recorded.The height was measured on a vertical scale with heels, buttocks, and occiput against the wall and head in Frankfurt plane, to the nearest 0.5 cm.Weight was measured on a weighing scale with standard minimum clothing to the nearest 0.5 kg.Body Mass Index was calculated using the formula -weight (in kg.) divided by height 2 (in mtr.).Categorisation of BMI was done based on the World Health Organisation (WHO) criteria into three categories: normal (BMI = 18.5-24.9kg m Proportions and percentages were used to summarize categorical variables.Chi-square test examined the relationship between biological variables such as overweight, obesity and non-biological factors.A p-value≤ 0.05 was considered as statistically significant.

Results
Table 1 shows the distribution of blood pressure according to different variables.With regard to gender, 29.8% females and 61.5% males were either pre-hypertensive or hypertensive.There was a statistically significant association between gender and blood pressure (p<0.05).The association between duration of sleep and blood pressure was found to be statistically significant (p<0.05).70% of those who slept for 6 hours or more and 50% of those who slept for less than 6 hours had normal blood pressure.There was no statistically significant difference in the blood pressure of students from the different academic programmes.Tobacco use and number of meals consumed also did not show statistically significant association with blood pressure.However, there were only eight tobacco users of whom five had pre-hypertension or hypertension while among the non users, three had pre-hypertension or hypertension.Among the participants with BMI >30, 66.7% had pre-hypertension or hypertension whereas among those with BMI <30, only 31.5% were pre-hypertensive or hypertensive.The association between BMI and blood pressure was statistically significant (p<0.005).The mean BMI among those with normal BP was 23.25 with a SD of 4.6, while among those with pre-hypertension or hypertension was 27.6 with a SD of 6.5.

Table-1: Distribution of Blood Pressure according to different variables Table 2: Multivariate logistic regression analysis of factors associated with hypertension
For further analysis, the significant variables from the Chisquare test such as BMI, gender, and sleep duration were included.Logistic regression analysis was performed to find the crude and adjusted odds ratio (OR).BMI was taken as a continuous variable, and gender and sleep duration as categorical variables.The adjusted odds ratio for BMI was 1.14, which was statistically significant.There is 14% increased chance for getting pre-hypertension or hypertension for a unit increase in BMI.Among the male gender, the adjusted odds ratio was 3.3, which was statistically significant.The chance of getting prehypertension and/ or hypertension for male gender was 3.3 times more compared to female gender.The crude odds ratio for sleep duration was 2.3 and was statistically significant but when adjusted with other factors it was not statistically significant.Table 2 shows the details of logistic regression analysis.

Discussion
Studies have reported sex differences in BP with males having higher BP than females during adolescent and early adulthood [20][21] .Smith and Rinderknecht report that older boys have significantly higher BP than girls 22 .Kusuma et al and Schall observed that men possess higher BP levels than females [23][24] .The present study also supports the observation made by other authors in this respect.Gender difference in the pathogenic mechanisms in essential hypertension is available in the literature.The high prevalence of hypertension in younger men compared to women is explained on the basis of the lack of endogenous estrogen.Evidence suggests that estrogen may modulate vascular endothelial function, causing vasodilatation.This may be one reason for women having lower blood pressure compared to men 25 .Previous studies demonstrated that hypertension increased significantly as BMI increased [26][27][28][29] .Srinivasan et al reported that BMI or central adiposity are the key determinants of high blood pressure which appear at an early age.The study also emphasizes the role of weight reduction in the prevention of hypertension .The present study also supports the observation made by other authors with regard to BMI.Currently, there is little direct evidence to explain the role of obesity in hypertension.Davy and Hall point out that high BP in obese humans may be due to higher level of adiposity 34 .BMI measures obesity and is associated with increased arterial stiffness and various hemodynamic changes that may contribute to hypertension [35][36][37][38] .Jervase et al. reported differences in BP between males and females, with males having higher systolic and diastolic BP than the females.The study also observed that gender and BMI were the significant determinants of hypertension among university students 39 .A study by Chirinos et al. reported that increasing BMI was associated with a significantly increased risk of hypertension and the Odds Ratio for hypertension, for every 5-unit increase in BMI, was 1.58.The study concluded that younger persons with hypertension were more likely to be obese compared with .In the present study, OR for hypertension was 1.14, which revealed that for every one unit increase in BMI, the chance of hypertension is 14% more, which is similar to the findings of Chirinos et al.
In the present study, when studying the association between BMI and hypertension, physical activity may be a confounding factor, but physical activity was not taken in to account in this study.There was no association between blood pressure and other risk factors like tobacco use and sleep duration.With regard to sleep duration, before adjusting to other confounding variables, the crude odds ratio of 2.33 was observed, but the adjusted OR observed was not statistically significant.Gangwisch et al 41 reported that less sleep duration significantly increased the risk of hypertension in subjects 32 to 59 years of age.Gottlieb et al 42 observed that sleep duration per night is associated with an increased risk of hypertension, which is not supported by the findings of the present study.This result may not be representative of all university students as the present study involves only one university and the small sample size.This investigation highlights the need for a nationwide study among youth.

Conclusion
The results of this study provide an insight into the understanding of the association between gender, BMI and blood pressure among our entry level students.The results may be used to develop messages to raise awareness about the dangers of high blood pressure and its determinants among students.This result may not be representative of all university students as the present study involves only one university.This investigation highlights the need for a nationwide study among youth.

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, overweight (BMI = 25-29.9kg m and obese (BMI  30 kg m -2).Blood pressure was measured by same team and interpreted as per the blood pressure guidelines, issued in 2003 by the National Heart, Lung, and Blood Institute as shown below19 .160 and above 100 and above Descriptive statistics such as means and standard deviation were used to summarize the quantitative variables.