Syed Meraj and Mohammed Al: A study on the prevalence of risk factors for diabetes and hypertension among school children in Majmaah, Kingdom of Saudi Arabia

A study on the prevalence of risk factors for diabetes and hypertension among school children in Majmaah, Kingdom of Saudi Arabia



The prevalence of risk factors for diabetes and hypertension in Saudi school children has achieved epidemic proportions because of enriched lifestyles. The aim of this study is to conduct a baseline study of such risk factors in a young population at the cusp of high-end technology and material comfort.

Materials and Methods.

A cross-sectional study was done among school children using parental assisted self-questionnaires and anthropometric assessment of their vital statistics. This study, including planning, data collection and analysis, and the writing of the first draft, was conducted from March 2015 to October 2016 after ethical approval was obtained. Cluster sampling was done for the schools, and stratified randomized sampling was performed to choose a total of 794 male and female school children. SPSS software was used for data analysis.


It was found that 11.6% of the children had a body mass index (BMI) above the normal range. The waist-to-height ratio was elevated in 16.8% of the children. Other risk factors of note were a high prevalence of sedentary habits (43%), daily consumption of carbonated sugary drinks (36.4%), and eating at fast food restaurants most days of the week (17%).


This gradual buildup of risk factors for diabetes and hypertension at an early age is a morbid indicator of an epidemic whose outcome has been determined. Most of these modifiable risk factors are amenable to change through concentrated efforts to educate, train and inculcate healthy habits among children and their families.

Significance for public health

The whole body of work done on risk factors associated with diabetes and hypertension provides a grim outlook for the burden of disease that developed and developing countries are both going to face. Health education about the presence of such risk factors and its consequences to the general population is getting drowned out in the rapid globalization of the lifestyle, diet and societal addictions in terms of technology and entertainment. A need was felt to improve the coverage of high risk populations who are at the cusp of development and to whom any positive primary prevention would matter the most since they are the precursors of our vision of a healthy future. This study would be one of the tools to encourage further exploratory studies on minimizing risk factors at an early age in a high-risk country like Saudi Arabia.


Risk factors for diabetes and hypertension have been ever increasing among children in most parts of the world, with many articles clearly warning about ominous outcomes, which are often overlooked by pediatric physicians.1 The effect of the digital revolution in present times is such that even children are suffering detrimental health effects from sedentary lifestyles.2 Studies have shown that, subsequently, the prevalence of cardio-metabolic risk factors has increased in childhood populations within the past decade.3,4 A significant association has been shown in several studies of diabetes and pre-existing obesity done worldwide, with recommendations to reduce the prevalence of these risk factors at an earlier age to decrease the incidence of cardio-metabolic disorders.5 This correlates with findings among Asian children who were reported to be at increasingly higher risk of developing NIDDM, hypertension, dyslipidemia, and coronary heart disease6,7 as a result of obesity.

A highly probable scenario for a bleak future would be a significant spurt in cardio-metabolic disorders and their complications, many of which are readily preventable.8 We are still in that stage where though the scientific community fully recognizes the untoward consequences, the general population still needs to be made aware of the risks of diabetes, hypertension, and other cardiovascular disorders, and the preventative strategies that can be used to avoid them.9

Prevalence studies on diabetes and hypertension among adults in Saudi Arabia are well documented.10,11 Mapping the risk factors present in school children and adolescents would be of great significance since studies have shown that they are a population that can be molded to lead a healthier life.12,13 Furthermore, this population is more prone to gravitate towards junk food and a sedentary lifestyle because of the overwhelming presence of social media and other digital age products.14 Studies that have focused on children in Saudi Arabia are few and far between with no uniform representation from around the country.15-17 The present effort was made to identify risk factors associated with diabetes mellitus and hypertension, targeting school children in Majmaah, Saudi Arabia and subsequently make suggestions to obviate these prospective health disorders through non-medical means.

Materials and Methods

This study was conducted in the city of Majmaah in Riyadh Province, Saudi Arabia. Majmaah is populated with a mix of ethnic Saudi people and expatriates. This was a descriptive, crosssectional and institutional based study among primary school children aged 7 to 14 years. There are 263 government schools in Majmaah; 123 schools are for boys and the remaining 140 are for girls. A total number of 13,137 students attend these primary schools, including 6,686 males and 6,451 female students. All the above data was provided by the Ministry of Higher Education, Majmaah University, Majmaah, Saudi Arabia. The study was initiated on 1st March 2015 and ended on 30th October 2016.

Review of previous lifestyle studies indicated the approximate prevalence of risk factors for diabetes and hypertension among the school children was 20%.18,19 A total sample size of 950 (rounded off from 983) students was calculated using the formula n = {Z2 p (1-p)}/d2 (z=1.96, P=0.20, 1 - P=0.80, d=0.05, design effect=4). The study population was further determined by choosing 12 male and female schools each through cluster sampling. The 12 schools were chosen taking into consideration the duration of data collection required before the beginning of the examinations in the schools and the availability of the school children. Participants were chosen from each of the 12 schools by proportionately stratified random sampling to maintain homogeneity of representation. Thus, a total of 475 male and 475 female school children were chosen for the study. Children were advised to wear loose light clothing and assemble before school or during break as per their convenience for anthropometric and blood pressure measurements. Their shoes, any accessories and outer layers of clothing were removed, after which standing height was measured to the nearest 0.1 cm and body weight obtained to the nearest 0.1 kg on calibrated digital scales. Scales were recalibrated after each use. Female investigators were trained to gather data from female children since mixing of males and females is not allowed in Saudi culture.

Parents or guardians filled in a semi-structured, close-ended questionnaire at home. A two-step evaluation of the questionnaire was used to validate it. First, the questionnaire was given to public health and epidemiology experts in the College of Medicine at Majmaah University to ensure that the questions were consistent with the objectives of the study and that no confusing, leading or inappropriate questions were included, that would need to be modified or removed. Secondly, a pilot study was done on 60 participants (the parents/guardians of the school children) picked randomly from one of the schools. This was done to determine whether the respondents would pay attention to the questionnaire content, and provide responses to all the items. The questionnaires were again scrutinized and assessed for their validity based on these pilot study responses before initiating the actual survey. Finally, a form in Arabic and English with a brief explanation about the objectives of the study, was attached to the questionnaire, to seek informed consent from the parents/guardians. Risk factors used in the study were based on both physical measurements and presence of dietary and lifestyle habits.19

The child was considered to have a first-degree family history if the respondent indicated that the natural mother, the natural father, or any full sister or brother had diabetes or hypertension. Body mass index (BMI) was calculated as body weight in kg/height in meters.2 We applied cut off points as given in the WHO guidelines20 for participants with ages ranging from 6 to 14 years for the assessment of overweight and obesity. Those ≥85th percentile were considered overweight, and ≥ 95th percentile were obese, while those <85th percentile were considered to be of desirable weight or lean. A qualified physician measured the waist circumference (exerting the same standard pressure on the tape) at the midpoint of the lowest rib cage and the iliac crest, to the nearest 0.1 cm,21 in a standing position during end-tidal expiration. If a student was absent or refused to participate in the study, the next student in the register was taken with his or her consent. A total of 794 students completed the study. Since there are quite rigid cultural and religious values followed by the citizens of Saudi Arabia, the number of female participants was less than male participants.

Informed written and signed consent was obtained from the parent/guardians of all participants included in the study.

All the data was entered in SPSS version 22 software and analyzed for statistically significant outcomes. Chi-square tests and percentiles were used for gathering the findings of the results.


This study was done to assess the prevalence of risk factors like body mass index (BMI), weight-to-height ratio (WHR), positive family history for diabetes and hypertension, food and drink intake habits and sedentary lifestyle among male and female primary school children in Majmaah, Saudi Arabia. Since this is a baseline study being done in Majmaah, these risk factors were considered as optimal indicators for the risk of developing diabetes or hypertension.22-24 The total response among the selected participants was 83.6% (794 out of 950 students included in the study). Table 1 shows the demographic characteristics of the participants. Most of the participants (89.2%) were between 8 and 12 years of age. The study group was comprised of 64.4% male and 35.6% female students by the end of the research project. The total number of Saudi participants was 618 (77.8%) while non-Saudi students (22.3%) made up the balance.

Table 2 shows the distribution of waist to height ratios over the recommended (> 0.5) level in 16.8% of the children, which represents a risk for cardiovascular diseases and diabetes. Also, a positive family history25 of diabetes, hypertension, or both was found in 38.9% of the participants. About 43% of the participants habitually watched television or played video games for more than 3 hours a day, every day, which is regarded as a risky sedentary habit. Risky dietary habits included the consumption of carbonated drinks or sugary fruit juices daily (36.4%). Also 17% of the children admitted to having food outside the home, particularly fast food from branded outlets, on more than 3 days of the week instead of consuming homemade food.26

Table 3 shows the BMI of school children differentiated by gender. Regardless of age and gender there were 11.6% (92) children who were having their BMI more than the normal range. Around 37% of the students were underweight (BMI<18.5). More boys (6.0% and 1.8%) were overweight and obese respectively than girls (3.4% and 0.4%). This was statistically significant at 95% confidence interval (P<0.001).

Table 4 shows the distribution of the mean values of anthropometric characteristics in the school children. The mean waist circumference in both male and female children increased continuously from 6 to 12 years comparatively except in females where there was a slight dip from 7 to 8 years. As seen, the mean values increase by 18.7 cm in males and 16.3 cm in females from age 6 to 12 years. Comparatively, the BMI reading was higher among boys than girls at each age group except after age 12 years when the girls BMI reading caught up with the boys. These differences were not statistically significant. No children were recorded in the age group 14 years in males and 13 years in females so the characteristics in those age groups are not seen.

Table 5 shows the percentile distribution of systolic blood pressure in both boys and girls. The systolic and diastolic blood pressure in the 50th percentile is more frequent among boys than girls in the age group 6 to 7 years but after that age it is more common among girls than boys until the age of 12 years. As seen in the 50th percentile, there is a gradual increase in the systolic blood pressure in boys while in girls there is a much larger increase by the age of 12 years. Between 7 and 8 years there is a dip in the systolic blood pressure in the 50th percentile in girls in contrast to boys. In comparison with the standard reference by American Academy of Pediatrics,27 it is seen that the systolic and diastolic blood pressure across the percentiles are higher at all ages except in boys where it is almost at par in the initial years.


The increasing prevalence of risk factors like excessive unhealthy food and drink consumption, a high BMI and sedentary lifestyles are ominous signs indicating that the precursors exist for an incoming pandemic of lifestyle diseases like diabetes and hypertension. Organizations like the United Nations, World Health Organization, and World Bank emphasize the need to focus on younger generations now to control the of non-communicable diseases in the future.28-30 Our study showed that 11.5% of the participants had a BMI above the normal range (18.5-24.9) which was a lower percentage than that reported in other similar studies done in Saudi Arabia (14-28%).31-34 Other principal risk factors explored in this study showed that the waist-to-height ratio (WHtR) was more than the recommended limit in 16.8% of the children. Many studies have supported the use of WHtR inclusively in identifying at risk populations with prevalence ranging from 10-23%.35,36

This study also revealed that 38.9% of the participants had a positive family history for diabetes and hypertension which independently is a strong predictor of its occurrence in later years. This finding is supported by studies such as an epidemiological profile of diabetes in Saudi Arabia by Tarik et al.37 that points to an overwhelming genetic predisposition towards this disease while El-Hazmi et al.38 pointed out consanguinity as one of the primary reasons for it. Al Mouzan et al.39 also found an association of consanguinity with diabetes in children though it was not statistically significant (P=0.92). Other risk factors such as sedentary activities like watching television or playing video games (>3 hours per day) was prevalent among 43% of the participants. Studies such as those of Al Hazza40 and Al-Nuaim et al.41have found that there is an association of physical inactivity with obesity and cardiovascular diseases later in life. In fact, the World Health Organization has declared physical inactivity to be one of the top five risk factors for premature mortality.42 Dietary choices like preference for food outside the home (fast food, restaurant meals, etc.) was found among 11.5% of the participants, coupled with a higher intake of carbonated drinks or sugary fruit juices (36.4%) signaling a high risk for obesity and overweight among children in this study. Collison et al.19 showed that there was a significant increase in the consumption of sugar sweetened carbonated beverages among children 10 to 19 years as compared to non-sugar sweetened beverages. Basciano et al.43 and James et al.44 have shown the association of carbonated beverages with obesity and overweight which are precursors of diabetes and hypertension. Likewise, El Mouzan et al.45 and Amin et al.46showed a positive correlation between frequency of fast food intake among Saudi school children and increasing obesity and development of metabolic syndrome later in life. In our study, the measurements of systolic and diastolic blood pressure showed an increasing trend with age among both boys and girls at a higher level than the percentile reference it was compared with.18 We found that the children were at a higher risk of developing hypertension associated with the prevailing risk factors. Studies by Ataei et al.47 on children found elevated blood pressure among 281 students and Koura et al.48screened 310 young females in Dammam and found 13.5% of them to be pre-hypertensive.

Conclusions and recommendations

This study highlights the prevalent risk factors for diabetes and hypertension at an early age which can potentially lead over time to the development of the disease. Primarily, it was observed that unhealthy diets, sedentary lifestyles and elevated BMIs are quite prevalent among the study population. In the present scenario, there are very few health warnings attractive enough to garner attention by the population against these risk factors. Rather, there is a constant assault of advertisements, banners, posters, promotional campaigns for a glitzy lifestyle, and consumption of fast food, alcohol and tobacco as well as use of electronic gadgets that overwhelm the senses of many people. It is also seen that parents need more awareness about these risk factors and need to encourage their children to lead a healthy and active life. Even the website of the Ministry of Health of the Kingdom of Saudi Arabia provides very little information on the prevalence, awareness and consequences of risk factors for diabetes and hypertension among the population.49Based on the findings of this study, we recommend a collaborative effort by the government agencies and non-government organizations to promote healthy behavior and lifestyle within schools and home environments. Regular promotional campaigns at key public places and social media should be the norm while appropriate legislative measures should be implemented nationally. Importantly, international cooperation among countries for disease prevention at an early stage of life should be a long-term goal.

Limitations of the study

The total duration of the study, though designed to be finished in one year, took longer than that as a result of logistic difficulties of getting ethics approval and permission from the Ministry of Education to collect data from school children in the school system. Out of the 950 students selected for this study, the total response was 794 (83.6%) which could also be one of the limiting factors in the generalization of the result to the entire population.



M Riley, B. Bluhm High blood pressure in children and adolescents. Am Fam Physician 2012;85:693-700.


Government Department of Health and Ageing Australian. Physical activity recommendations for 5-12 year olds. Accessed June 30, 2016


AR Ness, SD Leary, C Mattocks. Objectively measured physical activity and fat mass in a large cohort of children. PLoS Med 2007;4:e97.


RM Steele, S Brage, K Corder. Physical activity, cardiorespiratory fitness, and the metabolic syndrome in youth. J Appl Physiol 2008;105:342-51.


AE Pontiroli. Type 2 diabetes mellitus is becoming the most common type of diabetes in school children. Acta Diabetol 2004;41:85-90.


A Misra, L Khurana, NK Vikram. Metabolic syndrome in children: current issues and south Asian perspective. Nutrition 2007;23:895-910.


S Bhardwaj, A Misra, L Khurana. Childhood obesity in Asian Indians: a burgeoning cause of insulin resistance, diabetes and sub-clinical inflammation. Asia Pac J Clin Nutr 2008;17:172-5.


MJ Fowler. Microvascular and macrovascular complications of diabetes. Clin Diabetes 2008;26:77-82.


BM Egan, Y Zhao, RN Axon. US trends in prevalence, awareness, treatment, and control of hypertension, 1988-2008. JAMA 2010;303:2043-50.


AH Mohieldein, MA Alzohairy, M. Hasan Awareness of diabetes mellitus among Saudi non-diabetic population in Al-Qassim region, Saudi Arabia. J Diabetes Endocrinol 2011;2:14-9.


A Aljoudi, A. Taha Knowledge of diabetes risk factors and preventive measures among attendees of a primary care center in eastern Saudi Arabia. Ann Saudi Med 2009;29:15.


D Hollar, SE Messiah, G Lopez-Mitnik. Effect of a two-year obesity prevention intervention on percentile changes in body mass index and academic performance in low-income elementary school children. Am J Public Health 2010;100:646-53.


N Singhal, A Misra, P Shah, S. Gulati Effects of controlled school-based multi-component model of nutrition and lifestyle interventions on behavior modification, anthropometry and metabolic risk profile of urban Asian Indian adolescents in North India. Eur J Clin Nutr 2010;64:364-73.


HM Al-Hazzaa, NA Abahussain, HI Al-Sobayel. Physical activity, sedentary behaviors and dietary habits among Saudi adolescents relative to age, gender and region. Int J Behav Nutr Phys Act 2011;8:140.


AM Habeb, Magamsi MS Al, S Halabi. High incidence of childhood type 1 diabetes in Al Madinah, North West Saudi Arabia (2004-2009). Pediatr Diabetes 2011;12:676-81.


AA Mahfouz, AS Shatoor, MY Khan. Nutrition, physical activity, and gender risks for adolescent obesity in Southwestern Saudi Arabia. Saudi J Gastroenterol 2011;17: 318.


HM Al-Hazzaa. Prevalence and trends in obesity among school boys in Central Saudi Arabia between 1988 and 2005. Saudi Med J 2007;28:1569-74.


NF Farghaly, BM Ghazali, HM Al-Wabel. Life style and nutrition and their impact on health of Saudi school students in Abha, Southwestern region of Saudi Arabia. Saudi Med J 2007;28:415-21.


KS Collison, MZ Zaidi, SN Subhani. Sugar-sweetened carbonated beverage consumption correlates with BMI, waist circumference, and poor dietary choices in school children. BMC Public Health 2010;10:234.


Health Organization World. Growth reference 5-19 years. 2007. Available from:


Health Organization World. Physical status: the use and interpretation of anthropometry: a report of a WHO expert committee. Geneva: WHO. 1995.


VM Kuba, C Leone, D. Damiani Is waist-to-height ratio a useful indicator of cardio-metabolic risk in 6-10-year-old children? BMC Pediatrics 2013;13:91


C Maffeis, C Banzato, G. Talamini Waist-to-height ratio, a useful index to identify high metabolic risk in overweight children. J Pediatr 2008;152:207-13.


I Janssen, PT Katzmarzyk, SR Srinivasan. Utility of childhood BMI in the prediction of adulthood disease: comparison of national and international references. Obesity 2005;13:1106-15.


R Valdez, KJ Greenlund, MJ Khoury, PW Yoon. Is family history a useful tool for detecting children at risk for diabetes and cardiovascular diseases? A public health perspective. Pediatrics 2007;120:S78-86.


LM Powell, BT Nguyen. Fast-food and full-service restaurant consumption among children and adolescents: effect on energy, beverage, and nutrient intake. JAMA Pediatr 2013;167:14-20.


Institute of Health National. The Fourth Report on the Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents. Pediatrics. 2004;114. Available from:


Health Organization World. New data highlight increases in hypertension, diabetes incidence. Available from: (Accessed on 25th October 2016)


Health Organization World. Hypertension and diabetes on the rise worldwide, says UN report. 2012. Available frm:


World Bank The. Diabetes prevalence (% of population ages 20 to 79). Available from: Accessed on 25th October 2106


AA Alam. Obesity among female school children in Northwest Riyadh in relation to affluent lifestyle. Saudi Med J 2008;29.


Hazmi M El, AS Warsy. The prevalence of obesity and overweight in 1-18-year-old Saudi children. Ann Saudi Med 2002;22:303-7.


Nuaim AR Al, EA Bamgboye, Herbish A Al. The pattern of growth and obesity in Saudi Arabian male school children. Int J Obes Relat Metab Disord 1996;20:1000-5.


TT Amin, AI Al-Sultan, A. Ali Overweight and obesity and their relation to dietary habits and socio-demographic characteristics among male primary school children in Al-Hassa, Kingdom of Saudi Arabia. Eur J Nutr 2008;47:310-8.


BC Lam, GC Koh, C Chen. Comparison of body mass index (BMI), body adiposity index (BAI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) as predictors of cardiovascular disease risk factors in an adult population in Singapore. PLoS ONE 2015;10: e0122985.


Mouzan MI El, Herbish AS Al, Salloum AA Al. Regional variation in prevalence of overweight and obesity in Saudi children and adolescents. Saudi J Gastroenterol 2012;18:129.


TA Elhadd, AA Al-Amoudi, AS Alzahrani. Epidemiology, clinical and complications profile of diabetes in Saudi Arabia: a review. Ann Saudi Med 2007;27:241.


Hazmi MA El, AR Al-Swailem, SA Warsey. Consanguinity among Saudi Arabian populations.; J Med Genetics 1995;32:623


El Mouzan M, Al Salloum A, Al Herbish A. Consanguinity and major genetic disorders in Saudi children: a community-based cross-sectional study. Ann Saudi Med 2008;28:169.


H Al-Hazzaa. The public health burden of physical inactivity in Saudi Arabia. J Fam Commun Med 2004;11:45-51.


AA Al-Nuaim, Y Al-Nakeeb, M Lyons. The prevalence of physical activity and sedentary behaviours relative to obesity among adolescents from Al-Ahsa, Saudi Arabia: rural versus urban variations. J Nutr Metabol 2012;2012.


World Health Organization. Global recommendations on physical activity for health. Geneva: WHO; 2010.


H Basciano, K. Federico-Adeli Fructose, insulin resistance, and metabolic dyslipidemia. Nutr Metab (Lond) 2005;2:5-10.


J James, D. Kerr Prevention of childhood obesity by reducing soft drinks. Int J Obesity 2005;29:S54-7.


Mouzan MI El, PJ Foster, Herbish AS Al. Prevalence of overweight and obesity in Saudi children and adolescents. Ann Saudi Med 2010;30:203.


TT Amin, AI Al-Sultan, A. Ali Overweight and obesity and their association with dietary habits, and sociodemographic characteristics among male primary school children in Al-Hassa, Kingdom of Saudi Arabia. Ind J Commun Med 2008;33:172.


N Ataei, A Aghamohammadi, V Ziaee. Prevalence of hypertension in junior and senior high school children in Iran. 2008. Available from: Accessed on 30th October 2016.


MR Koura, BK Al-Dabal, P Rasheed. Pre-hypertension among young adult females in Dammam, Saudi Arabia. East Mediterr Health J. 2012;18:728-34.


of Health - Kingdom of Saudi Arabia Ministry. Diabetes: symptoms, complications, means of prevention and treatment. Available from: Accessed on 7th July 2017.

Table 1.

Socio-demographic profile of the participants.

Variables Participants (n=794) Number %
Age in years 6 13 1.6
  7 58 7.3
  8 117 14.7
  9 114 14.4
  10 202 25.4
  11 151 19.0
  12 124 15.6
  13 12 1.5
  14 2 0.3
  15 1 0.1
Gender Male 511 64.4
  Female 283 35.6
Ethnicity Saudi 618 77.8
  Non-Saudi 176 22.2
Table 2.

Distribution of the risk factors associated with development of diabetes and hypertension among the school children.

Risk factors No. participants (n=794) %
Waist-to-height ratio (WHR>0.5) 133 16.8%
Positive family history for diabetes and/or hypertension 309 38.9%
Mostly outside food intake 139 17.5%
Sedentary activities for more than 3 hours per day 341 43%
Carbonated drinks/fruit juice 289 36.4%
Table 3.

Distribution of BMI and gender of the school children.

BMI   Gender, No (%)   Total
  Male   Female  
<18.5 161 (20.3)   134 (16.9) 295 (37.2)
18.5-24.99 288 (36.3)   119 (15.0) 407 (51.3)
25.0-29.99 48 (6.0)   27 (3.4) 75 (9.4)
>30 14 (1.8)   3 (0.4) 17 (2.1)
Total 511 (64.4)   283 (35.6) 794 (100.0)

[i] X2=21.99, df==3, P<0.001.

Table 4.

Distribution of mean anthropometric characteristics of school children.

Age, years No Weight, kg Height, cm BMI, kg/m2 WC, cm WHtR Systolic BP, mmHg Diastolic BP, mmHg
6 9 26.1±7.21 119.2±10.06 18.3±4.40 56.4±4.05 0.47±0.02 97.4±9.10 64.8±3.83
7 38 28.3±7.55 122.6±6.78 18.7±3.82 59.9±9.05 0.48±0.06 99.4±10.7 63.5±8.51
8 77 31.3±9.03 127.2±9.24 19.1±3.38 61.1±9.45 0.48±0.06 100.5±12.91 65.0±11.01
9 66 32.1±8.05 130.9±7.14 18.7±3.39 63.9±9.22 0.48±0.06 102.2±13.00 67.7±11.50
10 119 36.5±10.40 133.4±8.35 20.2±4.30 67.9±11.78 0.50±0.07 104.8±12.6 67.3±9.31
11 95 38.6±10.92 136.7±7.52 20.5±4.72 72.0±12.80 0.53±0.08 107.8±10.3 69.1±11.02
12 95 45.0±12.61 141.6±9.52 22.3±4.41 75.1±12.0 0.53±0.07 112.1±13.01 69.8±9.12
13 11 42.9±5.73 140.0±7.25 21.9±1.99 69.5±7.60 0.49±0.04 112.9±9.38 69.8±10.44
6 4 18.3±2.41 109.3±3.69 15.3±1.06 49.0±0.82 0.45±0.02 92.0±4.08 59.5±12.29
7 20 26.4±6.43 120.1±6.25 18.2±3.47 57.5±6.57 0.48±0.05 100.5±0.79 61.3±8.75
8 40 26.8±6.79 122.5±6.50 17.7±3.58 56.2 ±7.31 0.46±0.05 103.6±13.39 65.9±10.25
9 48 32.8±10.00 129.0±10.63 19.4±3.74 59.8±7.74 0.46±0.05 107.6±14.79 65.3±9.42
10 83 34.3±8.75 133.6±7.33 19.0±3.56 59.5±7.02 0.45±0.05 107.4±13.66 67.2±10.51
11 56 40.3±10.45 138.2±16.49 20.4±4.06 626±7.88 0.47±0.18 109.9±12.40 66.5±9.65
12 29 45.7±11.74 142.7±6.67 22.3±5.04 65.3±9.97 0.46±0.07 115.2±13.90 68.7±8.80
14 2 57.7±16.05 159.5 ±2.12 22.6±5.67 72.5±16.26 0.45±0.10 123.5±20.51 72.0±16.97

[i] BMI, Body mass index; WC, Waist circumference; WHtR, Waist to height ratio; BP, Blood pressure.

Table 5.

Distribution of systolic blood pressure in percentiles with age and gender of the school children.

Age, years     Percentiles    
  50 (*) Systolic 90 (*) 95 (*) 50 (*) Diastolic 90 (*) 95 (*)
6 96 (96) - - 64 (57) - -
7 98 (97) 116 (114) 120.3 (119) 62.5 (57) 72.8 (74) 81.6 (78)
8 98 (99) 119.2 (115) 128.1 (120) 64 (59) 82 (75) 88.2 (80)
9 101 (100) 122.3 (117) 128.0 (121) 65 (60) 80.6 (76) 87.9 (81)
10 104 (102) 121 (119) 124 (123) 66 (61) 79 (77) 83 (82)
11 108 (104) 122 (120) 128.4 (125) 68 (61) 85.4 (78) 90 (82)
12 110 (106) 130.2 (123) 138.2 (127) 69 (62) 80 (78) 86.4 (83)
13 115 (108) 129.6 (125) - 69 (62) 84.8 (79) -
15 130 (113) - - 86 (64) - -
6 90.5 (94) - - 63.5 (56) - -
7 102 (96) 111 (112) 114.8 (116) 60 (57) 73.6 (72) 79.7 (77)
8 101 (98) 120 (114) 128.8 (118) 68.5 (58) 80(74) 80 (78)
9 107 (100) 127.1 (115) 132.2 (120) 65.5 (59) 79 (75) 80 (79)
10 108 (102) 125.6 (118) 128 (122) 65 (60) 82.4 (76) 88.6 (80)
11 111 (103) 125 (119) 129.2 (124) 65.5 (61) 80 (77) 80.3 (81)
12 116 (105) 134 (121) 138.5 (126) 70 (62) 80 (78) 86.5 (82)
13 108 (107) - - 74 (63) - -  
14 123.5 (109) - - 72 (64) - -  

[i] *Age and height percentile reference chart from American Academy of Pediatrics.27

Abstract views:


Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM

Copyright (c) 2017 Syed Meraj Ahmed, Mohammed Al Mansour

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
© PAGEPress 2008-2018     -     PAGEPress is a registered trademark property of PAGEPress srl, Italy.     -     VAT: IT02125780185