Literature DB >> 23802106

Elevated Blood Pressure among Rural South African Children in Thohoyandou, South Africa.

Daniel Goon1, Lateef Amusa, Dorothy Mhlongo, Lunic Khoza, Felix Anyanwu.   

Abstract

BACKGROUND: Whilst there seem to be available data on blood pressure profiles of South African children, especially in urban areas, few data exist on rural children. The aims of this study were to determine the blood pressure profiles of rural South African children residing in Thohoyandou; and to examine the relationship between body mass index and blood pressure among the children.
METHODS: The study involved 296 (134 boys and 135 girls) children aged 7-13 years. Body weight and height were measured using standard procedures. Overweight was defined by body mass index (BMI) for gender and age. Blood pressure was monitored in each child thrice using validated electronic devices (Omron 7051T). Hypertension was determined as the average of three separate blood pressure readings where the systolic or diastolic blood pressure was ≥ 90th percentile for age and sex.
RESULTS: Overweight among the girls (4.7%) was higher compared with the boys (3.9%). Both systolic and diastolic pressures (SBP and DBP) increase with age in both sexes. The proportion of children with > 90th percentile occur at only ages 12 and 13 years. The incidence of hypertension (SBP > 90th percentile) was 0.4% and 0.2% in boys and girls, respectively. The SBP and DBP pressures significantly (P<0.05) correlate with age; body mass, height and BMI.
CONCLUSION: Elevated blood pressure is prevalent among rural South African children residing in this region. Also, blood pressure increased with age in both boys and girls, and this positively correlated with age, body weight, height and BMI.

Entities:  

Keywords:  Blood pressure; Body mass index; Overweight; Rural children; South Africa

Year:  2013        PMID: 23802106      PMCID: PMC3684457     

Source DB:  PubMed          Journal:  Iran J Public Health        ISSN: 2251-6085            Impact factor:   1.429


Introduction

Alongside obesity, elevated blood pressure has become an increasingly common health problem in children and adolescent. Blood pressure studies in children provide important epidemiological information which may help in controlling or modifying coronary risk factors (1). It is therefore imperative to screen for blood pressure in children in order to identify those at risk of developing hypertension later in life, as studies have shown that levels of blood pressure track over time, and children with elevated blood pressure are more likely to become hypertensive adults (2–3). Similarly, strong associations between overweight and elevated BP have been reported in children and adolescents (4–6). It is postulated that overweight children and adolescents have a more than twofold increased risk of developing risk of pre-hypertension and more than fourfold increased risk of developing hypertension compared with those with normal weight (7). In South Africa, levels of overweight and obesity among children and adolescents are increasing. A recent study (8) comparing data from the South African National Youth Risk Behaviour Survey in 2002 and 2008 indicates upward trend in the level of overweight and obesity among the South African adolescents. The study revealed that among the male adolescents, overweight rates increased from 6.3% in 2002 to 11.0% in 2008; among female adolescents, overweight rates increased from 24.3% in 2002 to 29.0% in 2008. Obesity rates more than doubled among male adolescents from 1.6% in 2002 to 2.3% in 2008 and rose from 5.0% to 7.5% among female adolescents (8). This findings are of course expected, given that South Africa is undergoing socioeconomic transformation, with increasing urbanization (9,10), coupled with attendant lifestyle habits that tend to promote sedentariness and patronage of fast-foods restaurants, possible determinants of overweight and obesity among children and adolescents in the country. These factors may independently or interact with overweight and obesity to contribute to elevated blood pressure or hypertension among children and adolescents. Granted that high blood pressure levels are predictive of later hypertension, a major global health problem with its high prevalence and association with increased risk of cardiovascular diseases in the context of the epidemiological transition (11–13), there is need to prevent hypertension in childhood. The American Heart Association recommends that all children aged 3 years and older should have yearly BP measurements (8). However, existing data on the profile of blood pressure in South Africa children are scarce, and have been derived largely from studies conducted in the urban settings. Few have been conducted on rural children. Besides, scanty data exist on BMI and BP in rural South African children. This study examines the relationship between BMI and BP in primary school children in Thohoyandou. This study will add to the existing information on the profiles of blood pressure in rural South African children. In addition, knowledge of the dangers of overweight, obesity, and high blood pressure among children will help to inform public policy. This will aid in providing intervention strategies to prevent risk factors of life associated with high blood pressure in children.

Methods

The sample size included a total of 296 school children (134 boys and 135 girls) aged 7−13 years, residing in Thohoyandou. The data were collected from August–October 2011. The participants were selected from four schools in the region. The four schools were purposively selected due to logistical problems and it was more feasible to conduct the research in the selected schools in this region with the assistance of trained field workers who were Biokinetics and Sport Science students at the University of Venda, situated in the region. The pupils have similar socio-economic background. The population which is mainly Tshivenda speaking relies mainly on subsistence farming and very meagre financial support from males of the families working as migrant labourers within the mining sectors in the South and Gauteng. Most of Tshivenda live in remote places, characterized by poverty, illiteracy and nutritional disorders. In each school, the classes were listed numerically (e.g. grades 7A, 7B, 7C, etc.) and a simple ballot system was used to select four classes whose pupils were eventually assessed. Also, using the official class registers, a stratified random sample of children was drawn from each class according to their age category and gender. Specifically, those who were aged 7−13 years; had no disability or suffering from serious ailments that could impair anthropometric measurement were included. Also, only children who were present on the day of measurement were measured. The nature and scope of the study were explained to the children and their parents who gave informed consent. The study was approved by the Centre for Biokinetics, Recreation and Sport Science, University of Venda, South Africa. An information leaflet and informed consent form were administered to the head teachers, pupils and their parents or guardians who consented that the study be carried out. Four trained research assistants, who were final-year students in the Centre for Biokinetics, Recreation and Sport Science, University of Venda, participated in the data collection. The research assistants have a specialized training in anthropometric and blood pressure measurements. None of the research assistants wore a white coat during examinations. Before data collection commenced, the pupils filled the demographic section of the data form indicating their age and gender.

Measures

Blood pressure was monitored using the Omron electronic blood pressure equipment recommended by the World Hypertension Society. It consists of a bladder which measures 13 × 25 cm and a snugly wrap. Hypertension was determined as the average of three separate BP readings where the systolic or diastolic BP was ≥ 90th percentile for age and sex (14). A Martin anthropometer was used to measure height to the last 0.1 cm. Weight was measured using Tanita TBF 611 scales (Tanita UK Ltd., Middlesex, UK) to the nearest 0.1 kg. All measurements were taken according to the standard procedures suggested by the International Society for the Advancement of Kinanthropometry (ISAK) (15). Body mass index (BMI) was calculated as weight in kilograms divided by squared height in meters. International recommended BMI cut-off points for overweight and obesity for both boys and girls based on age were applied to the data (16).

Data analysis

Anthropometric and BP data were expressed as means, standard deviation and 95% confidence intervals (95% CI). The parametric t-test was used for comparisons of these variables stratified by sex. To determine the relationship between BP and anthropometric parameters, the Pearson correlation coefficient was applied. Data were analyzed using Statistical Package for the Social Sciences (SPSS) version 17.0. The level of statistical significance was set at P<0.05.

Results

The mean age of the participants was 9.7 ± 1.7 years. No significant difference was found for age between boys and girls (P = 0.205). The anthropometric and blood pressure measurements of the participants are shown in Table 1. There were no significant (P >0.05) gender differences in all the variables (body weight, height, BMI, systolic blood pressure, diastolic blood pressure) measured. Both systolic and diastolic pressures (SBP and DBP) seem to increase with age in both sexes (Table 2).
Table 1:

Mean and standard deviation (sd) for anthropometric measurements of the participants

VariableBoys (n = 134) Mean ± SDGirls (n =135) Mean ± SDCombined (n = 269) Mean ± SD95% CIP-value
Age (yr)9.9±1.99.6±1.59.7±1.79.5–9.90.205
Body mass (kg)36.5± 13.535.7 ±13.136.1 ±13.334.5–37.90.596
Height (cm)139.4±5.2140.7±5.8139.8±5.6137.8–142.10.871
BMI (kg/m2)20.2±5.019.7±5.120.0±5.118.9–20.60.452
SBP (mmHg)93.6±10.194.4±9.994.0±1.092.8–95.20.488
DBP (mmHg)56.9±6.756.5±7.056.7±6.855.9–57.60.630

CI = Confidence Interval; SD = standard deviation; BMI = Body mass index; SBP = Systolic blood pressure; DBP = Diastolic blood pressure

Table 2:

Systolic and diastolic blood pressure of the participants according to age groups

Age (yr)BoysGirlsSystolic blood pressure (mmHg)P-valueDiastolic blood pressure (mmHg)
Boys (Mean±SD)95% CIGirls (Mean±SD)95% CIBoys (Mean±SD)95% CIGirls (Mean±SD)95% CIP-value
720885.4±7.681.8–89.088.3±6.782.7–93.90.35551.4±5.448.9–53.952.3±4.748.3–56.20.704
8142487.5±6.683.7–91.287.4±8.683.8–91.10.99552.5±5.349.4–55.652.0±6.749.2–54.90.821
9243992.5±8.489.0–95.992.9±9.389.8–95.90.88757.0±6.054.5–59.555.5±5.253.8–57.10.280
10272993.9±9.390.2–97.695.4±6.493.0–97.80.48057.5±4.955.6–59.557.0±5.454.7–59.20.682
11181696.0±10.191.0–101.196.5±7.492.5–100.50.88057.6±7.354.0–61.258.2±5.555.3–61.20.774
12151499.5±10.793.5–105.4105.6±6.4101.9–109.30.07451.4±5.448.9–53.952.3±4.748.3–56.20.704
13165102.0±8.097.7–106.3106.5±16.985.5–127.50.41552.5±5.349.4–55.652.0±6.749.2–54.90.821

Statistically significant (P ≤ 0.05); CI = Confidence Interval

For both SBP and DBP, there was no significant difference (P ≥ 0.05) in both boys and girls at all ages. The SBP and DBP of the participants according to age and gender indicate a steady increase with age (Fig. 1 and 2). The SBP and DBP pressures significantly (P<0.05) correlate with age, body weight, height and BMI (Table 3). Shown in Table 4 is the distribution of the incidence of hypertension and the prevalence of overweight among the children according to sex and age. The proportion of children with > 90th percentile occur at only ages 12 and 13 years. The incidence of hypertension (SBP > 90th percentile) was 0.4% and 0.2% in boys and girls, respectively. In both sexes, overweight increases with age, declining at age 10 in boys, whereas in the girls a decline in overweight was observable at age 12 years. The percentage of children who were overweight were higher in girls (4.7%) compared with the boys (3.9%).
Fig. 1:

Variations in systolic blood pressure of the participants according to age and gender

Fig. 2:

Variations in diastolic blood pressure of the participants according to age and gender

Table 3:

Pearson correlation of systolic and diastolic blood pressure with age, stature, body mass, body mass index and body fat

VariablesSBP (mmHg)DBP (mm Hg)
RP-valueRP-value
Age (years)0.5150.0010.4850.001
Height (cm)0.5000.0010.4770.001
Body mass (kg)0.6220.0010.6350.001
BMI (kg/m2)0.4820.0010.5210.001

BMI = Body mass index; SBP = systolic blood pressure; DBP = diastolic blood pressure

Table 4:

Incidence of hypertension and overweight among the participants

Age (years)Gender (n)Elevated blood pressure*Overweight
BoysGirlsBoys %Girls %Boys %Girls %
7208001.11.2
81424002.01.8
92439003.22.2
102729003.05.2
111816002.15.0
1215140.20.13.14.2
131650.20.12.02.1
Total1341350.40.23.94.7

The average SDP and DBP was determined as ≥ 90th percentile for age and sex [14];

Internationally recommended BMI cut-off points in children [16].

Discusssion

The present study presents the blood pressure profiles of rural South African school children attending primary schools in Thohoyandou, South Africa. High blood pressure is a serious risk factor. It is simply an elevated pressure of the blood in the arteries (17). The study demonstrates elevated BP in the children. This finding is not a new phenomenon among children. Previous similar studies conducted among South African children and adolescents (17–21) and elsewhere (22–26) have confirmed the existence of elevated or presence of hypertension among children and adolescents of similar ages with our sample in the present study. High blood pressure is a major risk factor for heart diseases and stroke in adulthood (27). As such, the presence of elevated BP found among the children in this region is worrisome. Early detection of high BP by regular montoring of the children is warranted and would help to improve the health care of the children. Although overweight occur more in girls (4.7%), boys were found to be have higher levels of elevated BP (0.4%) compared to girls. Several studies (18, 23–26) have reported gender differences in the risk of developing elevated BP in different populations. It is difficult to explain the gender differences in elevated BP among our sample in the present study. There are several factors that have been thought to influence gender differences in the elevated BP among children. The gendered pattern in the risk of elevated BP can be explained by the impact of sex steriods on BP (25); a factor strongly suggested by experimental models (28). It has been postulated too, that lifestyle behaviours such as physical and sedentary behaviour, could account for sex difference in elevated BP among children (29,30). Pate et al. (31) study invovling preschool-aged children found boys were more likely to engage in moderate-to-vigorous physical activity than girls (P = 0.01). We expect boys to be more physically active compared to girls. If this is the case, the direct BP-lowering effects of physical activity, such as increased capilliary formation (32) could have possibly results to a lower prevalence of high BP in boys. Nothwithstanding, physical activity was not assessed among our study sample, therefore, we cannot draw conclusion on the direct BP-lowering effects of physical activity. Identifying the factors influencing sex differences in the prevalence of high BP among young children is needed. Elevated BP was found to be associated with age, weight, height and BMI in the children. Similar findings have been reported elsewhere (18,17,33–36). A direct relationship between high BP in childhood and subsequent development of the metabolic syndrome in adulthood has been observed (4,37). This stresses the need to screen and monitor the weight and BMI of children in order to safeguard their future health. The present study has several limitations. The sampled population does not represent the children in Thohoyandou region, nor is it reflective of the province, or national level. As such, given the area and size of the sample, the generalization of study‘s findings must be done with caution. Additionally, due to financial and practical reasons, assessment of BP status was measured only at one visit, at difference with the NHBPEP criteria that require BP to be measured at least on three occasions. This could have affected the estimate of the prevalence of elevated BP in the sampled children. However, we measured BP in non-stress condition (no white coat); and in the analysis, BP was mainly considered as a continuous variable thus minimizing misclassification problems. Again, salt intake and urinary sodium excretion of the participants were not assessed nor were the birth weights of the children scrutinized as most of them were born in rural hospitals and clinics where accurate records are hardly kept (17). However, the strengths of the study include the examination of this phenomenon in an understudied rural region, using standardized anthropometric and BP measurement protocols.

Conclusion

The study affirm the occurrence of elevated blood pressure among rural South African children in Thohoyandou, South Africa; a finding which is consistent with other previous studies. Additionally, blood pressure increased with age among the boys and girls, and this is positively correlated with age, body weight, height and BMI. Given that elevated BP in children is a precursor to the development of cardiovascular diseases later in life; our findings highlight the need for routine measurement of BP as part of physical examination in school children. This would aid in identifying children with elevated BP, with the aim of instituting appropriate intervention measures.

Ethical considerations

Ethical issues (Including plagiarism, Informed Consent, misconduct, data fabrication and/or falsification, double publication and/or submission, redundancy, etc) have been completely observed by the authors.
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