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Circulation. 2007;116:1488-1496
Published online before print September 10, 2007, doi: 10.1161/CIRCULATIONAHA.106.683243
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(Circulation. 2007;116:1488-1496.)
© 2007 American Heart Association, Inc.


Pediatric Cardiology

High Blood Pressure Trends in Children and Adolescents in National Surveys, 1963 to 2002

Rebecca Din-Dzietham, MD, MPH, PhD; Yong Liu, MS; Marie-Vero Bielo, MD; Falah Shamsa, PhD

From the Morehouse School of Medicine, Social Epidemiology Research Center (R.D.-D., Y.L., M.-V.B.) and Community Health and Preventive Medicine (F.S.), Atlanta, Ga.

Correspondence to R. Din-Dzietham, MD, MPH, PhD, Morehouse School of Medicine, Social Epidemiology Research Center, 520 Westview Dr SW, NCPC-315, Atlanta, GA 30310–1495. E-mail rdin{at}msm.edu

Received December 15, 2006; accepted July 19, 2007.


*    Abstract
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Background— Secular trend data on hypertension in children and adolescents are scarce and inconsistent. In the face of growing obesity, we sought to assess high blood pressure (HBP) secular trends in children and adolescents enrolled in national surveys and to determine whether the HBP trend reversed its course with the rise in obesity.

Methods and Results— National survey data obtained from multistage probability sampling of the US noninstitutionalized population from 1963 to 2002 were examined; 8- to 17-year-old non-Hispanic blacks and whites and Mexican Americans were included. HBP ascertainment was based on age-, gender-, and height percentile–specific systolic and diastolic BPs. Weighted analyses were performed to account for the complex design. The BP, pre-HBP, and HBP trends were downward from 1963 to 1988 and upward thereafter. Pre-HBP and HBP increased 2.3% (P=0.0003) and 1% (P=0.17), respectively, between 1988 and 1999. Obesity increase, more so abdominal than general obesity, partially explained the rise in HBP and pre-HBP from 1988 to 1999. BP and HBP reversed their downward trends 10 years after the increase in the prevalence of obesity. Additionally, an ethnic and gender gap appeared in 1988 for pre-HBP and in 1999 for HBP; non-Hispanic blacks and Mexican Americans had a greater prevalence of HBP and pre-HBP than non-Hispanic whites, and males had a greater prevalence than females.

Conclusions— HBP and pre-HBP in children and adolescents are on the rise. These new findings have implications for the cardiovascular disease public health burden, particularly the risk of a new cardiovascular disease transition. They reinforce the urgent call for early prevention of obesity and HBP and illustrate racial/ethnic disparities in this age group.


Key Words: epidemiology • hypertension • obesity • pediatrics • trends


*    Introduction
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Hypertension in adults remains a major public health problem. Several studies support the theory that the roots of essential hypertension may extend back to childhood.1 With obesity reaching epidemic proportions2 and obesity in children and adolescents being one of the strongest predictors of young adulthood hypertension,3 along with childhood blood pressure (BP) level and family history of hypertension, it is important to determine whether the prevalence of hypertension is increasing or decreasing in children and adolescents. This question is even more pertinent when we consider that the incidence of type 2 diabetes mellitus in youth is increasing, a direct result of the increase in childhood obesity.4 A recent study in a national sample has documented the BP increase in children and adolescents since the late 1980s.5 However, data on secular trends of BP in children and adolescents are scarce and inconsistent.6,7 Moreover, they are based on samples that are not nationwide. The limited national data on hypertension prevalence in children and adolescents enrolled in the earliest National Health and Nutrition Examination Survey (NHANES) showed a decreasing trend, although the investigators used the adult definition of hypertension.8,9 Trends in adult hypertension in NHANES exhibited an upward slope from 1988 to 1994 after a long period of downward slope.10,11

Editorial p 1437

Clinical Perspective p 1496

We used the US National Health Surveys data (1963 to 2002) (1) to describe the trends of age-adjusted prevalence of high BP (HBP) and mean BP for boys and girls 8 to 17 years of age, (2) to describe these trends by racial/ethnic-gender and age groups, and (3) to examine the impact of increasing obesity on these trends, hypothesizing that the HBP trend would reverse its course in relation to the obesity trend.


*    Methods
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Study Population
The study population consisted of boys and girls aged 8 to 17 years who participated in the National Health Examination (NHES), the Hispanic Health and Nutrition Examination Survey (HHANES), and the NHANES. These surveys were conducted by the National Center for Health Statistics (NCHS) on a nationwide probability sample of the civilian noninstitutionalized US population and based on a complex multistage sampling design. The periods of examination were 1963 to 1965 (NHES II; 6 to 11 years of age), 1966 to 1970 (NHES III; 12 to 17 years of age), 1971 to 1975 (NHANES I), 1976 to 1980 (NHANES II), 1982 to 1984 (HHANES), 1988 to 1994 (NHANES III), and 1999 to 2002 (continuous NHANES). However, NHES II and NHES III were collapsed for the current analyses.

These surveys included an initial household interview, followed by an examination in an equipped mobile examination center. Data on physical measurements and physiological tests were collected through standardized physical examinations. Adjusted sampling weights were computed to account for the complex sampling strategy and to reflect the US civilian noninstitutionalized population at the time of the survey. Details on the surveys design and procedures have been published.12–19 The HHANES is a survey of 3 Hispanic subgroups—Mexican Americans, mainland Puerto Ricans, and Cuban Americans—in selected areas of the United States. It covered {approx}76% of the 1980 Hispanic-origin population in the United States and used the same data collection techniques as the national surveys.20

English-speaking children who self-reported their race as non-Hispanic black or white or Mexican American (included since 1988) were included. The "other" (other Hispanics, Asians, and Native Americans) racial/ethnic groups were excluded because of small numbers (n=946). Children with congenital kidney or heart diseases (International Classification of Diseases, ninth revision, clinical modification, code 753 or 745 to 747, respectively, n=142) were excluded (to exclude secondary hypertension), as were pregnant girls (n=119) and participants with poor-quality data (as defined by NCHS investigators; n=6).21 Participants with missing data for BP (n=1232), weight, and height (n=468) also were excluded. The final sample sizes were 11 339, 3405, 2985, 2771, 4183, and 4482 for NHES I–III, NHANES I, NHANES II, HHANES, NHANES III, and continuous NHANES, respectively. Informed consent and assent were signed by all participants and parents, and the study was approved annually by the Centers for Disease Control and Prevention (CDC) institutional review board.12–17,19

BP Measurement and HBP Definition
BP measurement methods varied over time and between surveys. On the basis of the NCHS documentation, procedures were similar for 2 consecutive surveys (NHES II and III, NHANES I and II, and NHANES III and continuous NHANES). At all periods, the procedure for measuring BP followed the American Heart Association recommendations; that is, sitting BP was measured several times on the supported right arm after a period of rest using the appropriate cuff for the arm circumference, although cuff size has been recorded in the subject’s file since the NHANES III only. There was an attempt to control the main source of error in BP measurement, which is the nonmatching of cuff size and arm circumference, through retraining and recertification during all examination periods. Once it was demonstrated that the optimal ratio of arm circumference to cuff size was {approx}0.422 and that protocol-driven BP measurement brought the end-digit preference for 0 close to the optimal 20% range,23 quality-control measures were reinforced in the NHANES surveys.24 In the present study, the prevalence of 0-end-digit BP was in the range of optimal (<25%) to acceptable (<30%)23 except during the NHANES I and II surveys. This range is similar to the findings of Ostchega et al24 in NHANES 1999 to 2000.24 The problems with BP measurement in NHANES I and II have been described in detail by NCHS investigators.8,9,25 The appropriate cuff size was used in 60% to 100% in both periods when the cuff size data were recorded (Table 1). In 1988 to 1994, the error was mostly on child-sized arms, which tended to be overcuffed; in 1999 to 2002, the error was the opposite, with a tendency to undercuff adult-sized arms, particularly very big arms. Other sources of variation in BP measurement methods pertained to who took the measurement (nurse and/or physician and/or interviewer) and where (home and/or the mobile examination center) the measurement was taken, the participant’s position at the time of BP measurement, the number of measurements (3 to 6 replicates), and the definition of diastolic BP (DBP; in the earlier periods, fifth-phase [K5; disappearance of sound] or fourth-phase [K4; muffling of sound] Korotkoff sound, if K5=0; K5 since NHANES-III).


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TABLE 1. Measures of Observer Bias: Weighted Prevalence of Matching of Arm Circumference With Cuff Size

For these reasons, efforts were undertaken in the present analyses to minimize the effect of measurement variations. Only sitting BP measurements taken in the mobile examination center (n=3) were used. For the BP trend analyses, we tested the first BP measurement (performed by physicians) and the average of all available BP measurements. (In NHANES III, 94% had 3 BP measurements; in NHANES 1999 to 2002, 65% had 3 BP measurements.) The trends were consistent. Therefore, for accuracy, we used the latter definition in all analyses.

We used the method outlined in the Task Force Report Appendix B to classify subjects’ BPs into gender-, age-, and height-specific BP percentiles26 after each participant’s height was converted to a height z score relative to the 2000 CDC growth chart values for a child of the same age and gender using a modified LMS (median [M], standard deviation [S], and the power in the Box-Cox transformation [L]) estimation procedure.27 The new guidelines recommend multiple BP measurements at different times to define persistent hypertension and prehypertension. However, in the present study, BP was taken several times in only 1 session. To differentiate the outcome of interest in the present study from the rigorous definition of hypertension, this outcome is labeled HBP, but the same cutoff points are used. Therefore, by analogy with the task force classification, the BP categories were defined as normal BP (observed systolic [SBP] and DBP <90th percentile), pre-HBP (observed SBP or DBP ≥90th percentile but <95th percentile or BP ≥120/80 mm Hg but below 95th percentile), and HBP (observed SBP or DBP ≥95th percentile).26 Pre-HBP is relevant because clinically, children who chronically have BP values at ≥90th BP percentile exhibit signs of very early target-organ damage in young adulthood.28–30

Exposure and Covariates
Time, the exposure variable for the trend study, was categorized into 6 levels corresponding to the survey’s period of examination (NHES II and III were collapsed).

The sampling plan for NHANES is based on age at interview. Age was defined as a continuous variable for assessment of confounding and categorized into 8 to 11, 12 to 14, and 15 to 17 years for stratified analyses to proxy the effect of puberty. This categorization is clinical and not data based; it was used because the Tanner index of sexual maturation was not measured at all periods.31,32 The race/ethnicity categories included non-Hispanic blacks (blacks), non-Hispanic whites (whites), and Mexican Americans.

Obesity was assessed by body mass index (BMI; in kg/m2) for age,27 an index of overall obesity, and by waist circumference (in cm; not measured in NHANES I and II), an index of visceral adiposity. Body weight was measured to the nearest 0.05 kg and height to the nearest 0.1 cm.

Statistical Analyses
Analyses were performed with SAS33 and SUDAAN34 to obtain correct variance estimates. NCHS-computed sampling weights were used in the analyses to account for differential probability of selection resulting from the cluster design, planned oversampling of selected subgroups (children, blacks, and Mexican Americans), unit nonresponse, and noncoverage. Estimates derived from a sample size smaller than the recommended sample size for the design effect or the estimated proportion were considered unreliable and reported with a footnote.21,35

For the trends analyses, prevalence of HBP and pre-HBP and distribution of mean BP were standardized to the 2000 census 5-year age distribution by the direct standardization method. These analyses were conducted on the total population and then stratified by age group and gender-race/ethnicity.

Two methods were used to assess the impact of obesity rise on HBP/pre-HBP increase between NHANES III and IV: multivariate logistic regression to establish the likelihood of HBP by obesity status and direct standardization to quantify the magnitude of HBP/pre-HBP prevalence increase accounted for by the increase in obesity during this same period. In the first procedure, NHANES 1988 to 1994 and 1999 to 2002 datasets were pooled, and the original NCHS-computed weight for each survey was used. For HBP, there was a marginally significant 3-way interaction between obesity and race/ethnicity across time (P=0.09), mainly because of an interaction of BMI with race/ethnicity in 1988 to 1994 (P<0.001) and 1999 to 2002 (P=0.05). For pre-HBP, there was a marginally significant 3-way interaction between obesity and race/ethnicity across time (P=0.06), resulting mainly from a significant interaction of BMI with race/ethnicity in 1988 to 1994 (P=0.03) but not in 1999 to 2002 (P=0.6). In contrast, the effect of waist circumference was constant across time and racial/ethnic groups. Therefore, subsequent analyses were performed separately for each period to account for the interaction by time. To account for the race/ethnicity-by-BMI interaction, race/ethnicity-specific models were fit that included age, gender, and BMI-for-age z scores. Waist circumference was strongly collinear with BMI; hence, it was analyzed in a separate model. Second, the impact of obesity on the HBP increase was further quantified by direct standardization using the NHANES 1988 to 1994 distribution of BMI or waist circumference to compute the NHANES 1999 to 2002 estimates.5 The resulting change in HBP and pre-HBP prevalence was evaluated.

The statistical method to obtain variance estimates was Taylor linearization.21 We used the Student t test for 2 independent samples (2-sided) to test whether the difference in HBP/pre-HBP prevalence between NHANES III and NHANES 1999 to 2002 and the impact of BMI rise on this difference were statistically significant.36 The nominal cutoff points for statistical significance were 0.05 for main effect and 0.10 for interactive effects.

The authors had full access to and take full responsibility for the integrity of the data. All authors have read and agree to the manuscript as written.


*    Results
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Study Population Characteristics
Table 2 displays the study population characteristics by race/ethnicity. The age and gender distribution remained almost stable over time. As expected, general and abdominal obesity increased over time in all racial/ethnic groups.


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TABLE 2. Unadjusted Weighted Prevalence and Mean (SE) of Participants’ Selected Characteristics by Race/Ethnicity Over Time

Trends of HBP and BP
High Blood Pressure
Table 3 displays the distribution of HBP. Males tended to have slightly greater HBP prevalence than females. Age-adjusted HBP prevalence tended to decrease between 1963 and 1988 to 1994 and to increase thereafter. In 1999 to 2002, the age-adjusted prevalences of HBP were 4.2% (SE, 0.7%), 3.3% (SE, 0.6%), and 4.6% (SE, 0.6%) for blacks, whites, and Mexican Americans, respectively. The distribution of HBP exhibited many unreliable estimates (Table 3). A gender and ethnic disparity appeared in 1999, whereas it appeared in 1988 for pre-HBP (data not shown).


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TABLE 3. Age-Adjusted and Age-Specific Prevalence (%) of HBP by Gender and Race/Ethnicity Over Time

Table 4 details the increase in prevalence that occurred between 1988 and 2002. Pre-HBP and HBP increased by 2.3 (P=0.0003) and 1 (P=0.17) percentage points, respectively. The pre-HBP increase was significant for blacks and Mexican Americans, whereas the HBP increase was significant for Mexican American males and white females. However, we must place a note of caution for the HBP data because in many cases the sample size is too small to yield reliable estimates, even though there were significant differences.


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TABLE 4. Increase in Age-Adjusted Prevalence (SE) of Pre-HBP and HBP During 1988 to 2002 by Gender and Race/Ethnicity

Blood Pressure
Figure 1 displays the BP trends for lean, at risk for overweight, and overweight, along with the prevalence trends for the latter 2 groups. As expected, the trend of SBP and DBP mirrored that of HBP. The mean increase in age-adjusted BP between 1988 to 1994 and 1999 to 2002 was greater for DBP (8.4 mm Hg; SE, 1.1 mm Hg; P<0.001) than for SBP (1.3 mm Hg; SE, 0.5 mm Hg; P=0.01). The age-adjusted mean increase in SBP between 1988 to 1994 and 1999 to 2002 was comparable for lean (1.0; SE, 0.4), at-risk-for-overweight (0.9; SE, 1.1), and overweight (0.6; SE, 1.0) children and adolescents, whereas the DBP increase during that same period was greater and significant for lean (9.2; SE, 1.2) than for at-risk-for-overweight (7.4; SE, 1.8) and overweight (4.7; SE, 2.3) children.


Figure 1186313
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Figure 1. Trends of youth anthropometric status-specific BP and prevalence of at risk for overweight (Ov.) and overweight.

Upward Trends of HBP and Obesity
Obesity increased in a monotonic fashion beginning with the earliest survey (1963 to 1970) for blacks and whites (Table 2). However, the trends differed in their patterns: stepwise for at risk for overweight and curvilinear for overweight (Figure 1). The increase in BP/HBP/pre-HBP lagged 10 years behind the increase in obesity (Figure 1 and Table 3; data not shown for pre-HBP).

As expected, both BMI and waist circumference significantly increased the likelihood of HBP. In 1999 to 2002, the odds ratios (ORs) for HBP were 2.1 (95% confidence interval [CI], 1.5 to 3.0), 1.8 (95% CI, 1.2 to 2.6), and 3.2 (95% CI, 2.4 to 4.4) for blacks, whites, and Mexican Americans, respectively, for 1 BMI z-score unit increment. For pre-HBP, they were 1.6 (95% CI, 1.4 to 1.7), 1.7 (95% CI, 1.4 to 2.1), and 1.7 (95% CI, 1.4 to 2.0). Relative to a child at the median BMI for age and sex, a child 1 z score higher would have a BMI that was between 2.1 and 3.5 kg/m2 higher, depending on age and sex. Conversely, the OR for waist circumference was constant for both outcomes. The corresponding ORs were 1.28 (95% CI, 1.26 to 1.31), 1.28 (95% CI, 1.24 to 1.33), and 1.35 (95% CI, 1.32 to 1.38) for HBP and 1.22 (95% CI, 1.21 to 1.23), 1.28 (95% CI, 1.26 to 1.31), and 1.28 (95% CI, 1.24 to 1.33) for pre-HBP among the 3 respective ethnic groups for a 5-cm increment in waist circumference. Obesity rise had the greatest impact in blacks and Mexican Americans for HBP and in Mexican Americans only for pre-HBP (Figures 2 and 3Down).


Figure 2186313
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Figure 2. Impact of obesity rise as assessed by BMI and waist circumference (WC) on the rise of HBP in 1988 to 1999 by race/ethnicity and gender. *Standardized (std) by the distribution of BMI or WC in NHANES III.


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Figure 3. Impact of obesity rise as assessed by BMI or waist circumference (WC) on the rise of pre-HBP in 1988 to 1999 by race/ethnicity and gender. *Standardized (std) by the distribution of BMI or WC in NHANES III.


*    Discussion
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*Discussion
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Summary of Results
The present study explored the trends of HBP in children and adolescents in a nationally representative sample of 8- to 17-year-old subjects over the past 40 years and the impact of obesity increase on these trends in the past 10 years. We found that the prevalence of elevated BP has been on the rise among US children and adolescents since the late 1980s, after a long period of decreasing trend. The BP rise lags {approx}10 years behind the increase in obesity. The increase in obesity, more so abdominal obesity than general obesity, accounts for part of the upward trend of HBP. The ethnic divergence in BP distribution paralleled the ethnic changes in obesity. Finally, the racial/ethnic disparity in HBP is a recent phenomenon in this age group. To the best of our knowledge, this is the first report of such findings.

Comparison With Other Studies
The few studies of children that have examined secular BP trends as a function of secular obesity yielded inconsistent results.6,7 In the Minneapolis Children’s BP Study of 10- to 14-year-old children,7 SBP percentiles were significantly higher and DBP percentiles were significant lower in 1996 than in 1986, whereas in the Bogalusa study,6 both SBP and DBP decreased at the end of the study periods (1975 to 1981 and 1984 to 1992) but obesity increased in both cohorts. The effect of obesity was evaluated in the former study and explained the SBP secular increase only. That DBP increased more rapidly than SBP in our study may be a reflection of early subclinical vascular disease because impairment of arterial compliance and endothelial function have been linked to weight (ie, low birth weight37 and excess current weight38) in youth.

Despite the BP measurement variation, the downward BP trends seem real and universal; they have been described in a variety of settings. In the 1960s, such a downward trend was reported in children and adolescents by the NCHS investigators using the adult definition of hypertension, that is, BP ≥140/90 mm Hg.8,9 The prevalence of hypertension decreased from 0.6% to 0.4% among the 6- to 11-year-old children and from 6.4% to 3.6% among the 12- to 17-year-old adolescents between 1971 to 1975 and 1976 to 1980. The same downward pattern has been described in adults enrolled in NHANES10 and among young adults in the United Kingdom and Australia.39 Goff et al40 analyzed the BP decline in adults 18 to 74 years of age enrolled in NHES/NHANES 1960 to 1994 by 10-year birth cohorts from 1887 to 1975. They also found that more recent cohorts had lower BPs than older cohorts.

The upward pattern also mirrors the adult hypertension trends in NHANES11 and the BP trends in children and adolescents.5 In these studies, obesity rise (as assessed by BMI) accounted for a variable proportion of the BP/hypertension increase: 29% of SBP and 12% of DBP increase in youth5 and 44% of hypertension increase in adults between 1988 to 1994 and 1999 to 2000.11 In the present study, the increase in HBP was attenuated by {approx}44% when standardized by BMI or waist circumference distribution in NHANES III, and the increase in pre-HBP also was attenuated by 27% and 68%, respectively, suggesting that the recent increase in the prevalence of pediatric HBP is explained, at least in part, by the increase in BMI and waist circumference. That the 1984 to 1999 DBP increase is greatest among lean individuals reinforces the fact that obesity is not the sole factor (this observation is not an artifact because the median for lean remained constant over time). The greater impact of abdominal obesity on elevated BP rise is consistent with findings in adult hypertension.41

Another intriguing finding is that the BP/HBP increase lagged 10 years behind the obesity increase. The question then is why the downward BP trends persist in the face of increasing obesity trends. Although this question is beyond the scope of our study, we might speculate on a few reasons. In Figure 1, we notice that in 1963 to 1980, the prevalence of at risk for overweight was stable, whereas that of overweight exhibited a slight upward trend ({approx}0.5% points between periods). This suggests that the impact of obesity was minimal and the downward BP trend was in fact due to latent factors. Between 1980 and 2002, the prevalence of overweight sharply increased ({approx}5% points between periods), whereas the prevalence of at risk for overweight remained stable, although at a higher level. During 1988 to 2002, we observed the reversed, upward HBP trend. It is therefore conceivable that it may take obesity that amount of time to induce cardiovascular modifications that will lead to HBP years later or that there is a threshold effect at the population level. Only cohort studies can adequately address such a question.

A latent factor that may explain the downward BP trend is lifestyle changes. We cannot rule out the effect of increased awareness of cardiovascular disease risk factors and consequential lifestyle changes, as suggested by the study by Goff et al40 in which the BP downward shift in adults had bearing on the whole BP distribution. Although the interventions were directed mostly at adults, the whole family may have reaped the benefits of healthy behavioral changes. Sodium intake and physical inactivity, which are strong correlates of HBP, were not consistently measured in NHANES. Hence, their potential beneficial effect cannot be evaluated. Current data suggest an increased sedentary lifestyle in children and adolescents, as defined by television viewing time,42,43 and increased sodium intake.44 Thus, these 2 habits would not explain the downward trend either. In their review of secular trends in BP in early life, McCarron et al39 allude to other factors that may reduce adulthood hypertension prevalence, such as birth weight, childhood growth, and early diet, including salt restriction in infancy, breastfeeding, and increased intake of fruits and vegetables. Further work is required to understand the mechanisms by which SBP and HBP continued to decrease while obesity increased. These protective factors may be promoted in this phase of a reversed, upward BP/HBP trend.

Methodological Issues
The most important methodological issue is the variation of BP measurement across study periods. If the multiplicity of BP measures within a visit attenuates the effect of the child’s anxiety toward this procedure, the lack of repeat BP measurements over time overestimates the individual’s values by not accounting for the effect of regression toward the mean.45,46 However, the impact on trends should be minimal, if any, because this emotional component is constant over time.

The improvement in quality-control monitoring measures in national surveys over time24,47,48 is demonstrated by the reduction of prevalence of 0-end-digit preference. Australian investigators found that digit-preference bias tended to overestimate hypertension prevalence.49 Digit-preference bias would not play a great role in our study because the NHES survey had among the lowest prevalence of digit preference (24%) yet the greatest HBP prevalence.

Another important potential source of error is the use of inappropriate cuff size in relation to arm circumference. It has been demonstrated that undercuffing overestimates and overcuffing underestimates BP. As a result of the data in Table 1, the 1988 to 1999 HBP prevalence gradient may be smaller than observed.

Finally, we cannot exclude the latent confounding effect of inconsistently measured variables such as physical activity or sexual maturation, which play an important role in hemodynamics and physiological maturation. These limitations do not minimize the strengths of this study. This study uses national representative data that included multiethnic groups to document for the first time the HBP and pre-HBP trends and racial/ethnic disparities in children and adolescents. It also documents the new fact that the cardiovascular risk for the young Mexican-American male is about to surpass that for young non-Hispanic blacks.

Conclusions
HBP and pre-HBP are on the rise in children and adolescents after a long period of decline. This observation has great public health importance because elevated BP is a major risk factor for cardiovascular disease. This rise can be explained, at least in part, by obesity, particularly abdominal obesity. These results point to the need to adopt multiple strategies aimed at preventing the clustering of risk factors, called metabolic syndrome, in children and adolescents, particularly those belonging to racial/ethnic minority groups. Prevention is particularly important in view of the possibility that the current generation of children may be the first to have shorter life expectancies than their parents.50


*    Acknowledgments
 
Source of Funding

We gratefully acknowledge the support of National Institutes of Health–National Institute of Child and Human Development Grant 5R03HD43300–2.

Disclosures

Dr Shamsa has received support from the Georgia Cancer Coalition.


*    References
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up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*References
 
1. Berenson GS, Wattigney WA, Bao W, Srinivasan SR, Radhakrishnamurthy B. Rationale to study the early natural history of heart disease: the Bogalusa Heart Study. Am J Med Sci. 1995; 310: S22–S28.[CrossRef][Medline] [Order article via Infotrieve]

2. Ogden CL, Flegal KM, Carroll MD, Johnson CL. Prevalence and trends in overweight among US children and adolescents, 1999–2000. JAMA. 2002; 288: 1728–1732.[Abstract/Free Full Text]

3. Sinaiko AR, Donahue RP, Jacobs DR Jr, Prineas RJ. Relation of weight and rate of increase in weight during childhood and adolescence to body size, blood pressure, fasting insulin, and lipids in young adults: the Minneapolis Children’s Blood Pressure Study. Circulation. 1999; 99: 1471–1476.[Abstract/Free Full Text]

4. Rosenbloom AL, Joe JR, Young RS, Winter WE. Emerging epidemic of type 2 diabetes in youth. Diabetes Care. 1999; 22: 345–354.[Abstract/Free Full Text]

5. Muntner P, He J, Cutler JA, Wildman RP, Whelton PK. Trends in blood pressure among children and adolescents. JAMA. 2004; 291: 2107–2113.[Abstract/Free Full Text]

6. Gidding SS, Bao W, Srinivasan SR, Berenson GS. Effects of secular trends in obesity on coronary risk factors in children: the Bogalusa Heart Study. J Pediatr. 1995; 127: 868–874.[CrossRef][Medline] [Order article via Infotrieve]

7. Luepker RV, Jacobs DR, Prineas RJ, Sinaiko AR. Secular trends of blood pressure and body size in a multi-ethnic adolescent population: 1986 to 1996. J Pediatr. 1999; 134: 668–674.[CrossRef][Medline] [Order article via Infotrieve]

8. Roberts J. Blood Pressure levels of persons 6–74 years United States, 1971–1974: US DHEW, PHS, NCHS. Available at: http://www.cdc.gov/nchs/data/series/sr_11/sr11_203.pdf. Accessed March 15, 2004.

9. Rowland M, Roberts J. Blood pressure levels and hypertension in persons 6–74 years: United States, 1976–80: US DHHS, NCHS. Available at: http://www.cdc.gov/nchs/data/ad/ad084acc.pdf. Accessed March 15, 2004.

10. Burt V, Cutler J, Higgins M, Horan M, Labarthe D, Whelton P, Brown C, Roccella E. Trends in the prevalence, awareness, treatment, and control of hypertension in the adult US population: data from the Health Examination Surveys, 1960–1991. Hypertension. 1995; 26: 60–69.[Abstract/Free Full Text]

11. Hajjar I, Kotchen T. Trends in prevalence: awareness, treatment, and control of hypertension in the United States, 1988–2000. JAMA. 2003; 290: 199–206.[Abstract/Free Full Text]

12. National Center for Health Statistics. Plan, operation, and response results of a program of children’s examination 1967: No. 5. Available at: www.cdc.gov/nchs/products/pubs/pubd/series/sr01/20–1/20–1.htm. Accessed March 15, 2004.

13. National Center for Health Statistics. Plan and operation of a health examination survey of US youths 12–17 years of age, 1969: No. 8. Available at: www.cdc.gov/nchs/products/pubs/pubd/series/sr01/20–1/20–1.htm. Accessed March 15, 2004.

14. National Center for Health Statistics. Plan and operation of Health and Nutrition Examination Survey, United States 1971–1973: No. 10. Available at: www.cdc.gov/nchs/products/pubs/pubd/series/sr01/20–1/20–1.htm. Accessed March 15, 2004.

15. National Center for Health Statistics. Plan and operation of the Second National Health and Nutrition Examination Survey, United States, 1976–1980 1981: No. 15. Available at: www.cdc.gov/nchs/products/pubs/pubd/series/sr01/20–1/20–1.htm. Accessed March 15, 2004.

16. Ezzati TM, Massey JT, Waksberg J, Chu A, Maurer KR. Sample Design: Third National Health and Nutrition Examination Survey. Hyattsville, Md: National Center for Health Statistics; 1992. DHHS publication (PHS) 92–1387.

17. National Center for Health Statistics. Plan and operation of the Third National Health and Nutrition Examination Survey, 1988–1994, No. 32. Available at: www.cdc.gov/nchs/data/series/sr_01/sr01_032.pdf. Accessed March, 15, 2004.

18. National Center for Health Statistics. Hispanic HANES Data Files Documentation/Codebook, 1982–84. Available at: http://www.cdc.gov/nchs/about/major/nhanes/hhanes.htm. Accessed June 2006.

19. NHANES 1999–2000 Public Data Release File Documentation. Available at: http://www.cdc.gov/nchs/data/nhanes/gendoc.pdf. Accessed June 2006.

20. Delgado JL, Johnson CL, Roy I, Trevino FM. Hispanic Health and Nutrition Examination Survey: methodological considerations. Am J Public Health. 1990; 80 (suppl): S6–S10.[CrossRef]

21. National Center for Health Statistics. The National Health and Nutrition Examination Survey (NHANES) analytic and reporting guidelines: 2005. Available at: http://www.cdc.gov/nchs/data/nhanes/nhanes_03_04/nhanes_analytic_guidelines_dec_2005.pdf. Accessed June 2006.

22. Stolt M, Sjonell G, Astrom H, Hansson L. Factors affecting the validity of the standard blood pressure cuff. Clin Physiol. 1993; 13: 611–620.[Medline] [Order article via Infotrieve]

23. Ataman SL, Cooper R, Rotimi C, McGee D, Osotimehin B, Kadiri S, Kingue S, Muna W, Fraser H, Forrester T, Wilks R. Standardization of blood pressure measurement in an international comparative study. J Clin Epidemiol. 1996; 49: 869–877.[CrossRef][Medline] [Order article via Infotrieve]

24. Ostchega Y, Prineas R, Paulose-Ram R, Grim CM, Willard G, Collins D. National Health and Nutrition Examination Survey 1999–2000: effect of observer training and protocol standardization on reducing blood pressure measurement error. J Clin Epidemiol. 2003; 56: 768–774.[CrossRef][Medline] [Order article via Infotrieve]

25. Drizd T, Dannenberg A, Engel A, for the National Center for Health Statistics. Blood Pressure in Persons 18–74 Years of Age in 1976–1980, and Trends in Blood Pressure From 1960 to 1980 in the United States. Washington, DC: US Government Printing Office; 1986.

26. National High Blood Pressure Education Program Working Group on High Blood Pressure in Children. The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Pediatrics. 2004; 114: 555–576.[Free Full Text]

27. CDC NCHS. CDC growth chart SAS program. Available at: http://www.cdc.gov/nccdphp/dnpa/growthcharts/resources/sas.htm. Accessed June 2003.

28. Jiang X, Srinivasan SR, Radhakrishnamurthy B, Dalferes ER Jr, Bao W, Berenson GS. Microalbuminuria in young adults related to blood pressure in a biracial (black-white) population: the Bogalusa Heart Study. Am J Hypertens. 1994; 7: 794–800.[Medline] [Order article via Infotrieve]

29. Soto LF, Kikuchi DA, Arcilla RA, Savage DD, Berenson GS. Echocardiographic functions and blood pressure levels in children and young adults from a biracial population: the Bogalusa Heart Study. Am J Med Sci. 1989; 297: 271–279.[Medline] [Order article via Infotrieve]

30. Tracy RE, Newman WP 3rd, Wattigney WA, Srinivasan SR, Strong JP, Berenson GS. Histologic features of atherosclerosis and hypertension from autopsies of young individuals in a defined geographic population: the Bogalusa Heart Study. Atherosclerosis. 1995; 116: 163–179.[CrossRef][Medline] [Order article via Infotrieve]

31. Marshall WA, Tanner JM. Variations in the pattern of pubertal changes in boys. Arch Dis Child. 1970; 45: 13–23.[Abstract/Free Full Text]

32. Morrison JA, Barton B, Biro FM, Sprecher DL, Falkner F, Obarzanek E. Sexual maturation and obesity in 9- and 10-year-old black and white girls: the National Heart, Lung, and Blood Institute Growth and Health Study. J Pediatr. 1994; 124: 889–895.[CrossRef][Medline] [Order article via Infotrieve]

33. SAS Institute Inc. SAS/STAT User’s Guide, Version 8e. Cary, NC: SAS Institute Inc; 1999.

34. Shah BV, Barnwell BG, Bieler GS. SUDAAN User’s Manual, Release 7.5. Research Triangle Park, NC: Research Triangle Institute; 1997.

35. Flegal K, Carroll M, Ogden C, Johnson C. Prevalence and trends in obesity among US adults, 1999–2000. JAMA. 2002; 288: 1723–1727.[Abstract/Free Full Text]

36. Fleiss JL, ed. Statistical Methods for Rates and Proportions. 2nd ed. New York, NY: John Wiley & Sons; 1981.

37. Lurbe E, Carvajal E, Torro MI, Alvarez VA, Redon J. Birth weight impacts on wave reflection in children and adolescents. Hypertension. 2003; 41: 646–650.[Abstract/Free Full Text]

38. Tounian P, Aggoun Y, Dubern B, Varille V, Guy-Grand B, Sidi D, Girardet JP, Bonnet D. Presence of increased stiffness of the common carotid artery and endothelial dysfunction in severely obese children: a prospective study. Lancet. 2001; 358: 1400–1404.[CrossRef][Medline] [Order article via Infotrieve]

39. McCarron P, Smith G, Okasha M. Secular changes in blood pressure in childhood, adolescence and young adulthood: systematic review of trends from 1948–1998. J Hum Hypertens. 2002; 16: 677–689.[CrossRef][Medline] [Order article via Infotrieve]

40. Goff DC, Howard G, Russell GB, Labarthe DR. Birth cohort evidence of population influences on blood pressure in the United States, 1887–1994. Ann Epidemiol. 2001; 11: 271–279.[CrossRef][Medline] [Order article via Infotrieve]

41. Lackland DT, Orchard TJ, Keil JE, Saunders DE Jr, Wheeler FC, Adams-Campbell LL, McDonald RH, Knapp RG. Are race differences in the prevalence of hypertension explained by body mass and fat distribution? A survey in a biracial population. Int J Epidemiol. 1992; 21: 236–245.[Abstract/Free Full Text]

42. Storey ML, Forshee RA, Weaver AR, Sansalone WR. Demographic and lifestyle factors associated with body mass index among children and adolescents. Int J Food Sci Nutr. 2003; 54: 491–503.[CrossRef][Medline] [Order article via Infotrieve]

43. Heini AF, Weinsier RL. Divergent trends in obesity and fat intake patterns: the American paradox. Am J Med. 1997; 102: 259–264.[CrossRef][Medline] [Order article via Infotrieve]

44. Briefel RR, Johnson CL. Secular trends in dietary intake in the United States. Annu Rev Nutr. 2004; 24: 401–431.[CrossRef][Medline] [Order article via Infotrieve]

45. Sinaiko AR, Gomez-Marin O, Prineas RJ. Prevalence of "significant" hypertension in junior high school-aged children: the Children and Adolescent Blood Pressure Program. J Pediatr. 1989; 114: 664–669.[CrossRef][Medline] [Order article via Infotrieve]

46. Souchek J, Stamler J, Dyer AR, Paul O, Lepper MH. The value of two or three versus a single reading of blood pressure at a first visit. J Chronic Dis. 1979; 32: 197–210.[CrossRef][Medline] [Order article via Infotrieve]

47. Hessel PA. Terminal digit preference in blood pressure measurements: effects on epidemiological associations. Int J Epidemiol. 1986; 15: 122–125.[Abstract/Free Full Text]

48. Rastam L, Prineas RJ, Gomez-Marin O. Ratio of cuff width/arm circumference as a determinant of arterial blood pressure measurements in adults. J Int Med. 1990; 227: 225–232.[Medline] [Order article via Infotrieve]

49. Bennett S. Blood pressure measurement error: its effect on cross-sectional and trend analyses. J Clin Epidemiol. 1994; 47: 293–301.[CrossRef][Medline] [Order article via Infotrieve]

50. Olshansky SJ, Passaro DJ, Hershow RC, Layden J, Carnes BA, Brody J, Hayflick L, Butler RN, Allison DB, Ludwig DS. A potential decline in life expectancy in the United States in the 21st century. N Engl J Med. 2005; 352: 1138–1145.[Abstract/Free Full Text]


 

CLINICAL PERSPECTIVE

Using the 1963 to 2002 national survey data, we found that, after a long period of decline, the prevalence of elevated blood pressure has reversed its trends since 1988. However, the increase over the last 2 survey periods (1988 to 1994 and 1999 to 2002) is greater and significant for pre–high blood pressure (2.3%; P<0.0003) than for high blood pressure (1%; P=0.17). Because this is the beginning of the upward trend, strong action taken now may prevent the progress of such a trend. Therefore, it is advisable to measure blood pressure at every visit with the appropriate technique to rank the child’s measured blood pressure from the Centers for Disease Control and Prevention growth charts and the gender-, age-, and height-specific blood pressure table (published by the National Task Force) and to follow the recommendations proposed by this body for elevated blood pressure management. The second observation was that obesity, more so abdominal than general obesity, partially accounts for the elevated blood pressure trend. For example, had the distribution of waist circumference remained at the 1988 to 1994 level, the prevalence of pre–high blood pressure in 1999 to 2002 would have been lower by almost two-thirds. We draw 3 conclusions: (1) Measurement of waist circumference should become a routine clinical act, along with measurement of height and weight; (2) components of the metabolic syndrome should be monitored; and (3) pre–high blood pressure should be managed as vigorously as high blood pressure, especially because the Bogalusa studies have shown that the former leads to early target-organ damage in young adulthood. Special attention must be paid to minorities, particularly young Mexican American boys. Finally, the Centers for Disease Control and Prevention should consider building growth charts for waist circumference similar to the other anthropometric variables charts.


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