Literature DB >> 31143032

Prevalence of hypertension and prehypertension in schoolchildren from Central India.

Ashish Patel1, Anil Bharani1, Meenakshi Sharma2, Anuradha Bhagwat3, Neepa Ganguli3, Dharampal Singh Chouhan4.   

Abstract

BACKGROUND: Epidemiological transition with increasing burden of cardiovascular risk factors is evident not only in adults but also in children. The data on the prevalence of prehypertension and hypertension in children show large regional differences in India and such data are not available from Central India. We, therefore, conducted a large cross-sectional study in Indore to determine the distribution of blood pressure (BP) and the prevalence of hypertension and prehypertension among schoolchildren.
METHODS: A total of 11,312 children (5305 girls, 6007 boys) aged 5-15 years, drawn from 80 government and private schools in equal proportion, were evaluated. Anthropometric measurements were obtained and BPs were measured using The Fourth Report on The Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents as reference standard. BP ≥90th to <95th percentile for given percentile of height was considered as prehypertension, whereas any BP ≥95th percentile was defined as hypertension. Multiple linear regression analysis was used to find out the determinants of hypertension in these children.
RESULTS: Prehypertension was detected in 6.9% and 6.5% and hypertension was found in 6.8% and 7.0% of boys and girls, respectively. Height and weight were found to be a significant predictor of systolic and diastolic BP among both boys and girls.
CONCLUSIONS: Our results show a high prevalence of prehypertension and hypertension in Indore schoolchildren with age and height being significant determinants. This highlights the need for routine BP measurements in children by pediatricians when they treat them for intercurrent illnesses or vaccinate them. It should also be mandatory as a part of school health checkup programs to detect childhood hypertension for further counseling and therapy.

Entities:  

Keywords:  Blood pressure; pediatric hypertension; school health checkup

Year:  2019        PMID: 31143032      PMCID: PMC6521652          DOI: 10.4103/apc.APC_13_18

Source DB:  PubMed          Journal:  Ann Pediatr Cardiol        ISSN: 0974-5149


INTRODUCTION

It has been shown that even a slight elevation of blood pressure (BP) in childhood is likely to elevate the risk of hypertension by several folds in adult population.[1234] Epidemiological transition with increasing burden of cardiovascular risk factors such as obesity and hypertension is already evident not only in adult population but also in pediatric population in developing countries including India.[567891011] The survey data show large variation in the prevalence of prehypertension and hypertension among the children from various part of India.[356] Further, large studies on the prevalence of pediatric hypertension from Central India are lacking. The present study was conducted as part of the Indian Council of Medical Research (ICMR) Jai Vigyan Mission mode project on “Community Control of Rheumatic Fever/Rheumatic Heart Disease” (2007–2014). Our primary aim was to know about the distribution of BP in schoolchildren aged 5–15 years and secondarily to find out the prevalence of prehypertension and hypertension among them. The Fourth Report on The Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents was used as reference standard.[12]

METHODS

Study sample

The sample size was calculated using the formula from the WHO STEPwise approach to chronic disease surveillance (N = Z2 × P [1-P]/e2),[13] where N = sample size, Z = level of confidence, P = baseline level of the selected indicator, and e = margin of error. P was estimated at 0.50 (recommended by the STEPS survey guidelines when the estimated baseline is unknown), Z = 1.96 (at 95% confidence interval), and e = 0.05; thus, the estimated sample size was n = 1.962 × 0.5 (1–0.5)/0.052 = 384. This basic sample size was adjusted for design effect for age–sex estimates, 5–15 years’ age range (1-year intervals), and the required sample size was, therefore, n = 384 × 2× 11 = 8448. We studied a total of 11,312 children (5305 girls, 6007 boys) from 80 schools located in 43 out of total 69 municipal wards of Indore. Schools were selected to represent students attending government schools and private schools in equal proportions. The protocol was approved by the Institutional Ethics and Scientific Committee.

Blood pressure measurement

The mercury BP instrument used in our study was new leak proof and their accuracy was checked with standard mercury manometer (Baumanometer, W. A. BAUM Co., Inc., New York, USA) kept for calibration purposes. The children were evaluated by a team consisting of two specially trained pediatricians, two research assistants, and a social worker who visited the school at least a week before the examination date. The preexamination visit was intended to familiarize with the teachers and students and to discuss and schedule the plan of examination. All children were clinically examined in a comfortable position in a noise-free room during morning hours. Weight was measured using a calibrated scale and height using a stadiometer. BP measurement was carried out using mercury sphygmomanometer, following standard guidelines in sitting position. At least 5 min of rest in sitting position was provided before taking BP. Children were asked to sit on appropriate sized chairs, allowing for comfortable sitting with back supported, legs uncrossed and touching the ground, and arm supported during measurements. Observers and children were instructed to keep silence. The right arm was selected for BP measurement for consistency. Appropriate BP cuff was selected covering at least 40% of arm circumference with midline of cuff positioned over the arm following palpation of the brachial artery in the antecubital fossa. BP was measured in each child three times at a minimum interval of at least 5 min in between successive measurements on the same day. The onset of the first Korotkoff sound was taken as systolic BP (SBP) and end of Korotkoff sounds as diastolic BP.[14] In circumstances where Korotkoff sounds were heard till 0 mmHg, the BP measurement was repeated with less pressure on the head of the stethoscope. In the event of persistence of very low fifth Korotkoff sounds, fourth Korotkoff sounds (muffling of the sounds) were recorded as the diastolic BP.[141516]

Statistical method

First readings of both SBP and diastolic BP were discarded to lessen the effect of anxiety on BP. A mean of the second and third values, for both SBP and diastolic BP, was computed and taken as BP of the child and used for further analysis. Body mass index (BMI) was calculated based on height and weight data for every child in the entire cohort [Table 1]. Data from The Fourth Report on The Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents were considered as reference value for defining prehypertension and hypertension.[12]
Table 1

Distribution of anthropometric variables according to age and gender

Age (Years)GirlsBoys


nHeight Mean±SDWeight Mean±SDBMI Mean±SDnHeight Mean±SDWeight Mean±SDBMI Mean±SD
5486106.94±6.4815.39±3.0413.46±2.63364107.99±5.8915.06±2.4512.87±1.39
6498111.5±6.516.73±3.5213.4±2.22599112.77±6.8216.91±4.0913.25±3.15
7492116.49±6.7617.96±3.3713.31±2.85706117.88±718.74±3.8313.38±1.72
8762122.47±6.5420.66±4.8613.66±2.39892122.9±7.1520.67±4.3913.57±1.89
9644127.33±7.0122.62±5.1713.84±2.33652128.91±6.9323.66±5.4814.1±2.2
10554132.36±8.5625.51±6.9614.38±2.73644132.75±7.625.12±6.1514.13±2.69
11490137.16±8.527.72±7.4214.55±2.61531136.73±7.6727.23±6.3514.44±2.32
12476140.95±7.630.05±6.8815.01±2.69502140.9±8.1529.23±7.1214.6±2.67
13400147.03±7.1234.89±7.0516.05±2.55457147.49±8.533.38±7.9615.18±2.44
14347150.05±7.5138.81±7.7217.17±2.77390153.44±9.4937.98±9.515.96±2.81
15156150.49±6.6640.46±9.0117.79±3.36270158.66±8.1142.71±9.9916.84±3.11
Total5305128.58±15.2924.64±9.3114.41±2.866007130.29±15.8424.91±9.4514.18±2.59

SD- standard deviation; BMI - Body mass index

Distribution of anthropometric variables according to age and gender SD- standard deviation; BMI - Body mass index BP ≥90th to <95th percentile was considered as prehypertension, and BP ≥95th percentile was considered as systemic hypertension. Further, hypertension was classified as Stage I (≥95th to ≤99th percentile plus 5 mmHg) and Stage II (>99th percentile plus 5 mmHg). We added 5 mm to observed ≥95th and ≥99th-percentile values to define Stage I and Stage II hypertension more clearly since the difference between the 95th and 99th percentiles is only 5–10 mmHg which is not large enough. Further, children were considered to have prehypertension if they were found to have SBP >120 mmHg and/or diastolic BP >80 mmHg, even if this value is <90th percentile of BP for each year of age group.[12] Multiple linear regression with stepwise forward elimination was used to assess the determinants of SBP and diastolic BP in the reference sample. Separate analyses were performed for sex, SBP, and diastolic BP. The results suggested that age and height were the principle determinants of SBP and height was the principle determinants of diastolic BP in our study sample. To evaluate BP levels at specific height percentiles for 1-year age groups, we first converted height percentiles to the z-score scale. We then regressed BP on height for each 1 year for male and female groups. Separate analyses were performed for SBP and diastolic BP thus: SBP(age) =α1+ β1 (z height) + e1 (Equation 1) Diastolic BP(age) = α2+ β2 (z height) + e2 (Equation 2). As the third step, we estimated the 95th and 90th percentiles for BP at specific height percentiles for each 1-year sex-pooled group. For instance, the 95th percentile of SBP for a child with height corresponding to the 90th percentile for the age group was estimated thus: 95th percentile of SBP (for age-specific 90th percentile of height) = α1+ β1 (1.28) +1.645 σ where σ2 was estimated from the residual mean square from the regression model represented by Equation 1. The corresponding 90th percentile of SBP for the child would be: 90th percentile of SBP (for age-specific 90th percentile of height) = α1+ β1 (1.28) +1.28 σ. Similarly, percentile of diastolic BP was calculated using the regression model in Equation (2). All statistical analyses were performed using the SPSS 23 version (IBM Corp, USA) and Microsoft Excel (Microsoft Corp, USA).

RESULTS

Age- and gender-specific distributions of anthropometric variables (weight, height, and BMI) in the study group are shown in Table 1. The age-specific BP distribution for boys and girls based on height percentile is shown in Tables 2 and 3. Cutoff values of height percentiles can be found in supplementary appendix [Supplementary Table 1].
Table 2

Blood pressure levels for boys by age and height percentiles

AgeBP Percentile ↓Systolic BP (mmHg)← Percentile of Height →Diastolic BP (mmHg)← Percentile of Height →


5th10th25th50th75th90th95th5th10th25th50th75th90th95th
550th9596969696979744454546464747
90th10510610610610610710754545555565656
95th10810810910910910911056575758585959
99th11411411411411511511561626263636464
650th9495969697989849495050505151
90th10510610610710810810962626262636363
95th10810910911011111111265656666666767
99th11411411511611711711872727273737373
750th959596989910010149495051515252
90th10610710810911111211262626364646566
95th11011011111311411511666666767686969
99th11611711811912012112273737474757676
850th9596989910110210349505152535455
90th10610710911011211311463636465676868
95th11011011211311511611766676869707272
99th11611611811912112212374747577787979
950th989910010110310410549505153555758
90th11011111211311511611763646668707273
95th11311411511711811912068697172747677
99th12012112212312512612776777880828485
1050th989910110310410610752525354565757
90th11011111311411611811967676869717272
95th11411511611812012112271727374757676
99th12012112212412612712879798182838484
1150th9910010210310410610752535456575859
90th11011111211411511611767686971727374
95th11311411511711811912072727475767878
99th11911912112212412512680818283858687
1250th10110210210310410410552535456575960
90th11311311411511511611667686971727475
95th11611711711811911912071727375777879
99th12312312412412512612679808183858687
1350th10110210310410610710753535556575959
90th11211311411511611811868687071727474
95th11511611711812012112172737475777879
99th12112212312412512712780818283858687
1450th10710710810810911011054555759616364
90th11811911912012112212268697173757778
95th12112212312312412512572737577798182
99th12812812913013013113180818385878990
1550th10610610710710710810856575961636566
90th11911911912012012012170717375777880
95th12212212312312412412473757678808283
99th12912912913013013113181828385888990
Table 3

Blood pressure levels for girls by age and height percentiles

AgeBP Percentile ↓Systolic BP (mmHg)← Percentile of Height →Diastolic BP (mmHg)← Percentile of Height →


5th10th25th50th75th90th95th5th10th25th50th75th90th95th
550th9394949596979748484949505151
90th10310410410510610710760606061626263
95th10610610710810911011063636464656666
99th11111211311311411511569697071717272
650th9394949596979751515152525353
90th10510510610710710810863636363646464
95th10810810911011111111266666667676768
99th11411511511611711711872727373737474
750th9494959696979853535454545454
90th10310410510510610710765656565656566
95th10610710710810910911068686868696969
99th11111211211311411511574747475757575
850th9596979910010210253545455565657
90th10710710911011111311366676768696969
95th11011011211311511611770707172727373
99th11611611811912112212377777878798080
950th979810010110310410554555656575858
90th10911011111311511611768696970717172
95th11211311511611811912072737374757576
99th11911912112212412612680808181828383
1050th989910110310510710856575858596061
90th11011111311511711912070707172737475
95th11411511711912112312474747576777879
99th12112212312512712913081828384858686
1150th9810010210410610811058596061626364
90th11111211411611912112272737475767777
95th11411511812012212412576767778808081
99th12112212412612913113283848586878888
1250th10010110210410610810962626263636363
90th11111211411611812012176767676777777
95th11511611812012112312480808080818181
99th12112212412612813013187878888888888
1350th10510510610710710810861616161616161
90th11711711811811912012074757575757575
95th12012012112212212312378787879797979
99th12612712712812912913086868686868686
1450th10911011011011111111165656565656565
90th12312312312412412512579797979797979
95th12712712712812812812983838383838383
99th13413413413513513613690909191919191
1550th10710810911011111211264646565656566
90th12012112212312412512678787979797980
95th12412512612712812912982828383838383
99th13113213313413513613690909090919191
Supplementary Table 1

Height percentile by age and sex

SexAgeHeight percentiles

5102550759095
Girls596.3599103107110115118
6101103.9107111116119.1121
7105107.3112117121125128
8112.15115118122126131134
9116119122127132136138
10120122127132137144148
11124127131136.5142.25148.9152
12128130136141146150153.15
13134.05138143148152155158
14138142146150155160162
15139.85142.7146150155159163
Boys598101104108112115117
6101104109113118121123
7105.35109113.75118122126.3129
8112114118123127132135
9119121124128133.75138141
10121123127132137142.5145
11125128131136141147151
12129131135140146151155
13135137141147153159162
14140142147153160166.9171
15144149154159164170172
Blood pressure levels for boys by age and height percentiles Blood pressure levels for girls by age and height percentiles Height percentile by age and sex Data from The Fourth Report on The Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents were considered as reference value for defining target BP, prehypertension, and hypertension. Prehypertension was detected in 6.9% and 6.5% of boys and girls, respectively, whereas hypertension was found in 6.8% (Stage I: 6.7%; Stage II: 0.1%) of boys and 7.0% (Stage I: 6.6%; Stage II: 0.3%) of girls [Table 4].
Table 4

Prevalence of Prehypertension and Hypertension in Study Cohort

Age (Years)Normal (%)Pre-HTN (%)HTN Stage I (%)HTN Stage II (%)Total





BoysGirlsBoysGirlsBoysGirlsBoysGirlsBoysGirls
5310 (85.2)414 (85.2)24 (6.6)41 (8.4)30 (8.2)31 (6.4)0 (0)0 (0)364486
6502 (83.8)413 (82.9)51 (8.5)37 (7.4)46 (7.7)43 (8.6)0 (0)5 (1)599498
7619 (87.7)422 (85.8)17 (2.4)19 (3.9)70 (9.9)45 (9.1)0 (0)6 (1.2)706492
8755 (84.6)631 (82.8)86 (9.6)67 (8.8)50 (5.6)61 (8)1 (0.1)3 (0.4)892762
9593 (91)564 (87.6)30 (4.6)50 (7.8)29 (4.4)30 (4.7)0 (0)0 (0)652644
10555 (86.2)511 (92.2)50 (7.8)3 (0.5)37 (5.7)40 (7.2)2 (0.3)0 (0)644554
11441 (83.1)442 (90.2)59 (11.1)41 (8.4)31 (5.8)7 (1.4)0 (0)0 (0)531490
12444 (88.4)423 (88.9)22 (4.4)38 (8)36 (7.2)15 (3.2)0 (0)0 (0)502476
13387 (84.7)352 (88)33 (7.2)9 (2.3)37 (8.1)39 (9.8)0 (0)0 (0)457400
14334 (85.6)279 (80.4)38 (9.7)40 (11.5)18 (4.6)28 (8.1)0 (0)0 (0)390347
15251 (93)145 (92.9)2 (0.7)0 (0)16 (5.9)11 (7.1)1 (0.4)0 (0)270156
Total5191 (86.4)4596 (86.6)412 (6.9)345 (6.5)400 (6.7)350 (6.6)4 (0.1)14 (0.3)60075305
Prevalence of Prehypertension and Hypertension in Study Cohort On regression analysis, age and height were the principle determinants of SBP and height was the principle determinants of diastolic BP in our study sample. Age- and sex-specific regression coefficients are presented in Table 5.
Table 5

Age and Sex Specific Regression Coefficients

BPAgeBoysGirls


αβσαβσ
SBP596.1070.4277.801395.2891.1897.73706
696.2221.0768.405395.2461.1368.89119
797.7111.889.097595.7161.1137.51115
899.1742.3628.676898.9052.128.66965
9101.3832.0489.3547101.3022.4119.0966
10102.6352.559.217102.7552.9579.70966
11103.0272.1958.2156104.123.4179.5618
12103.161.0179.0397104.3342.8829.2577
13104.1981.9568.5123106.6691.0729.10832
14108.3841.1399.1082110.3780.57510.47583
15107.0840.6019.7719109.9121.56810.27855
DBP545.680.7597.308549.4530.949.0881
649.8920.4779.756651.8550.5459.05599
750.5151.14410.256653.7280.1968.94799
851.8191.73810.6354.8381.01510.14509
953.3392.9211.628556.2861.09110.75889
1054.4811.69111.663858.4931.46910.7973
1155.522.06211.87761.061.56110.5766
1255.6962.49411.7726962.540.3810.8303
1356.0021.99211.7426161.1750.1610.5751
1458.8943.00211.1829365.1350.15310.95954
1561.2883.00310.3897164.8470.41810.91172

SBP- Systolic blood pressure; DBP - Diastolic blood pressure

Age and Sex Specific Regression Coefficients SBP- Systolic blood pressure; DBP - Diastolic blood pressure

DISCUSSION

Primary hypertension in children was once considered a rarity and has emerged as an important public health problem world over.[17] The prevalence of hypertension in children is high in India compared to developed countries like the USA where the prevalence of elevated BP was found to be 2.7%–3.7% in different population-based surveys.[18] Similarly, the prevalence of childhood hypertension has varied between different populations within India [Table 6].[61920212223] We have shown the distribution of normal BP in a large cohort of children between ages of 5 and 15 years and the prevalence of prehypertension and hypertension among them from Indore district of Madhya Pradesh situated in Central India. Prehypertension was detected in 6.9% and 6.5% of boys and girls, respectively, whereas hypertension was found in 6.8% of boys and 7.0% of girls. With this prevalence, one out of every ten children would require some intervention to control hypertension, to reduce the risk associated with elevated BPs during childhood.[2425] Chadha et al., in a sample of 10,215 schoolchildren from New Delhi, reported a much higher prevalence of hypertension (11.9% for boys and 11.4% for girls) which is not duplicated in other studies from Amritsar, Assam, Shimla, Surat, or by us at Indore.[620212223] Using similar cutoff criteria of hypertension, Borah et al. from Assam reported hypertension in 7.6% of schoolchildren with a higher prevalence among girls, similar to our findings.[6] Sharma et al. from Shimla reported a 5.9% prevalence of hypertension and 12.3% prevalence of prehypertension in school-going children aged 11–17 years.[22] However, for defining stages of hypertension, they did not add 5 mmHg to the 95th and 99th percentile values as adopted in The Fourth Report on The Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents.
Table 6

Blood pressure prevalence from various parts of India

Ref. No.AuthorsSample sizeD.B.P. MeasurementB.P. MeasurementB.P. definitionPrehypertensionHypertension (%)Age group


BoysGirlsTotalBoysGirlsTotal
06Borah et al.100034th korotkoffSingle dayReference no.12Not reported7.37.87.65-14 years
19Krishna et al.6320Not definedSingle dayReference no.12Not availableNot available7-18 years
20Prabhjot et al.1000Not definedSingle dayReference no.15Not reported8.336.527.56-14 years
21Buch et al.12495th korotkoffSingle dayReference no.12Not reported6.746.136.486-18 years
22Sharma et al.10855th korotkoffSingle dayReference no.1212.4611.4612.34.76.85.911-17 years
23Chadha et al.102155th korotkoffSingle dayNot reported11.911.45-14 years
Blood pressure prevalence from various parts of India Differences in the prevalence of hypertension among these studies could partly be attributed to selection of different cutoff points for defining hypertension, age difference, differences in the study design, the number of visits made for measurement of BP, and method of averaging BP taken between different visits. For example, we have discarded the first BP readings to lessen the effect of anxiety and taken the average of the second and third BP readings in consideration, whereas Borah et al. have used a mean of three measurements of BP.[6] We classified BP as normal, prehypertension, or hypertension based on a single BP reading on a planned school visit. Multiple studies have shown that repeated measurements on different occasions lead to a reduction in proportion of hypertensive patients.[1026] However, multiple readings of BP taken on the same day were also considered appropriate in a series of epidemiological surveys.[27] Children born to hypertensive parents are known to have a higher prevalence of hypertension. Further subclinical endothelial dysfunction has been reported in normotensive children of hypertensive parents.[28] There is a high prevalence of hypertension in India affecting one-fourth of adult population.[29] We have, however, not obtained a family history in our cohort and, therefore, do not know if parental hypertension in these children contributed to a higher prevalence of prehypertension and hypertension found in our study. Our study cohort had equal representation from relatively richer and economically deprived children; thus, any possible effect of socioeconomic status of the parents on BP is unlikely.[30313233] We have not performed detailed anthropometric measurements besides height, weight, and BMI and thus do not have information on the prevalence of central obesity in our study population that could have a bearing on observed BP. We have not evaluated the salt intake and other dietary habits and physical activities in our cohort. This could be considered in design of future studies specifically for the assessment of BP in children. Despite these limitations, to conclude, there is a high prevalence of prehypertension and hypertension in our cohort. Thus, children should have BP recorded during school health checkups as a routine and further routine BP measurements should invariably be done when children come in medical contact for concurrent illnesses and for vaccination. Those who show elevated BPs should be counseled along with their parents and should be periodically followed by pediatricians and family practitioners for further therapy.

Financial support and sponsorship

This study was financially supported by ICMR, New Delhi, India.

Conflicts of interest

There are no conflicts of interest.
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Journal:  Ann Nutr Metab       Date:  2004-10-01       Impact factor: 3.374

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Journal:  Indian Pediatr       Date:  2007-12       Impact factor: 1.411

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10.  Contribution of early and adult factors to socioeconomic variation in blood pressure: thirty-four-year follow-up study of school children.

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Journal:  Psychosom Med       Date:  2004 Mar-Apr       Impact factor: 4.312

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1.  Reply: Prevalence of hypertension and prehypertension in schoolchildren from Central India.

Authors:  Ashish Patel; Anil Bharani; Meenakshi Sharma; Anuradha Bhagwat; Neepa Ganguli; Dharampal Singh Chouhan
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2.  DNA methylation signatures associated with cardiometabolic risk factors in children from India and The Gambia: results from the EMPHASIS study.

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Journal:  Clin Epigenetics       Date:  2022-01-09       Impact factor: 6.551

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