Health Reports
From BpTRU to OMRON: The impact of changing automated blood pressure measurement devices on blood pressure estimates among children and youth

by Tracey Bushnik, Robert Myette and Janine Clarke

Release date: December 18, 2024

DOI: https://www.doi.org/10.25318/82-003-x202401200002-eng

Abstract

Background

After six cycles of using the BpTRU (BT) BPM-300 blood pressure (BP) monitor, the Canadian Health Measures Survey (CHMS) introduced the OMRON (OM) IntelliSense HEM-907XL BP monitor in Cycle 7. This study assesses differences between BP values measured by both devices in children and youth aged 6 to 17 years and whether equations could be developed to compare BP measurements taken using the two devices.

Data and methods

In Cycle 6 (2018 to 2019) of the CHMS, BP was measured using BT and OM devices. Between-device estimates of systolic BP (SBP), diastolic BP (DBP), and BP categories were compared for 233 children and youth aged 6 to 17 years. Sex, age, body mass index (BMI), and central obesity categories were examined in linear regression models to predict SBP and DBP values measured with OM based on those measured with BT.

Results

In the study sample, average SBP measured with OM was 9 millimetres of mercury (mmHg) higher than average SBP measured with BT, and average DBP measured with OM was 3 mmHg lower than DBP measured with BT. Normal BP prevalence based on OM measurements was 2.1 to 6.4 percentage points lower than the prevalence based on BT measurements, depending on which pediatric BP guidelines were applied. Between-device BP differences varied in magnitude by sex, age group, and BMI categories. Prediction equations developed using linear regression could not adequately account for the measurement differences between the two devices.

Interpretation

Switching to the OM device in Cycle 7 will substantively affect pediatric BP estimates, preventing comparability with BP data from previous cycles. The impact of changing the BP devices on BP measurement should be acknowledged when reporting estimates of pediatric BP based on the CHMS

Keywords

blood pressure measurement, crossover study, automated sphygmomanometers, pediatric blood pressure

Authors

Tracey Bushnik is with the Health Analysis Division at Statistics Canada. Robert Myette is with the Children’s Hospital of Eastern Ontario. Janine Clarke is with the Centre for Direct Health Measures at Statistics Canada.

 

What is already known on this subject?

  • Children and youth with elevated blood pressure (BP) are more likely to become hypertensive adults and experience cardiovascular disease events in adulthood.
  • BP measurement can vary between methods and devices, particularly among children.
  • After six cycles of using the BpTRU (BT) BPM-300 BP monitor, the Canadian Health Measures Survey (CHMS) introduced the OMRON (OM) IntelliSense HEM-907XL BP monitor in Cycle 7.

What does this study add?

  • This study compares BP measurements taken by the OM and BT devices on a sample of children and youth aged 6 to 17 years during a single visit to the mobile examination centre in Cycle 6 of the CHMS.
  • In the study sample, average systolic BP (SBP) measured with OM was 9 millimetres of mercury (mmHg) higher than average SBP measured with BT, and average diastolic BP (DBP) measured with OM was 3 mmHg lower than DBP measured with BT
  • Prediction equations developed using linear regression did not produce estimates that adequately permit comparisons between pediatric BP measurements taken with the two devices. 
  • Switching to the OM device in Cycle 7 will substantively affect pediatric BP estimates, preventing comparability with BP data from previous cycles. The impact of changing BP devices on BP measurement should be acknowledged when reporting estimates of pediatric BP based on the CHMS

Introduction

Children and youth with elevated blood pressure (BP) are more likely to become hypertensive adultsNote 1 and experience cardiovascular disease events, such as heart attack or stroke, in adulthood.Note 2 Hypertension affects almost one in four adults,Note 3 heart disease is the second leading cause of death,Note 4 and heart failure and heart attack are the number two and number three reasons for hospitalizations (excluding childbirth) in Canada.Note 5 Given the connection between childhood BP and lifelong health, ongoing measurement and tracking of pediatric BP levels and changes in the Canadian population are essential.

The Canadian Health Measures Survey (CHMS) has used standardized, automated BP measurement to monitor systolic BP (SBP) and diastolic BP (DBP) in the population aged 6 to 79 years since 2007.Note 6 The validated BpTRU (BT) BPM-300 BP monitor was used for cycles 1 to 6 (2007 to 2019) of the CHMS.Note 7, Note 8 When BpTRU abruptly ceased operations in 2017,Note 9 the OMRON (OM) IntelliSense HEM-907XL BP monitor was selected as the replacement device for Cycle 7 onward after consultation with experts and other national health surveys. Studies have shown that the OM monitor meets validation criteria for measured SBP for individuals aged 7 years and older and for measured DBP for individuals aged 20 years and older.Note 10, Note 11

Because BP measurement can vary between methods and devices at all ages,Note 12, Note 13 a crossover study was implemented in Cycle 6 of the CHMS to compare measurements taken by the two devices on the same individuals aged 6 to 79 years. This article focuses on children and youth aged 6 to 17 years who participated in that study to examine between-device differences in BP values and assess the feasibility of developing equations to compare BP measurements taken with the two devices for this age group. Specifically, the crossover study data are used to estimate SBP, DBP, and BP categories based on measurements from the BT and the OM devices, differences are compared across selected characteristics, and the feasibility of developing prediction equations to compare pediatric BP data from earlier CHMS cycles with data from Cycle 7 onward is assessed. The crossover study data for adults aged 18 to 79 years were analyzed with similar objectives, and the results have been published separately.Note 14

Data and methods

Data

Data are from Cycle 6 (January 2018 to December 2019) of the CHMS, a cross-sectional survey that collects questionnaire and directly measured health information from community-dwelling individuals aged 3 to 79 years living in the 10 provinces. People living in the three territories or on reserves and settlements in the provinces, the institutionalized population, residents of certain remote regions, and full-time members of the Canadian Forces are excluded (about 4% of the Canadian population). The CHMS involves an in-person household interview and a subsequent visit to a mobile examination centre (MEC). The household interview gathers general demographic and socioeconomic data and detailed information on health, nutrition, medication use, and lifestyle. At the MEC, direct physical measurements are taken, including BP, height, weight, and waist circumference (WC). Ethics approval for the CHMS was received from the Health Canada Research Ethics Board.Note 15 Further information about the CHMS is available online.Note 16

Crossover study protocol

Cycle 6 of the CHMS collected automated digital BP measurements from all respondents using the BT monitor (BpTRU Medical Devices Limited, Coquitlam, British Columbia). The BT monitor takes six readings, with a one-minute interval between the beginning of each consecutive measurement, and averages the last five to determine SBP and DBP levels.Note 17 Crossover study respondents also had their BP measured using the OM monitor (OMRON Healthcare Incorporated, Vernon Hills, Illinois). Average mode was used, in which the OM monitor takes three readings, each one minute apart, and averages all three to determine SBP and DBP levels.Note 18

The last eight sites in Cycle 6 were available for the crossover study. The number of sites and the target sample sizes were selected to ensure that device differences in BP could be measured for each age group independently: ages 6 to 19 years, two sites (n=154); ages 20 to 39 years, four sites (n=210); ages 40 to 59 years, six sites (n=338); and ages 60 to 79 years, eight sites (n=491). Respondents in the crossover study were randomly assigned to have their measurements taken with BT or OM first, based on whether their randomly generated identification number was even or odd.

A health measures specialist (HMS) or medical radiation technologist (MRT) trained in BP measurement explained the crossover study protocol to the respondent at the MEC. The HMS or MRT measured the respondent’s mid-arm circumference for cuff placement and selected the appropriate cuff size for each BP monitor. The BT monitor has five cuff sizes: child (13 to 18 cm), small adult (18 to 26 cm), regular adult (26 to 34 cm), large adult (32 to 43 cm), and extra-large adult (41 to 52 cm).17 For those aged 6 to 17 years included in this analysis, the distribution across BT cuff sizes was 6% for the child cuff, 52% for the small adult cuff, 40% for the regular adult cuff, and 2% for the large and extra-large adult cuffs combined. The OM monitor has four cuff sizes: small (17 to 22 cm), medium (22 to 32 cm), large (32 to 42 cm), and extra large (42 to 50 cm).Note 18 The distribution across OM cuff sizes was 46% for the small cuff, 52% for the medium cuff, and 2% for the large and extra-large cuffs combined. If a respondent’s arm measurement fit two cuff sizes for the same BP monitor, the HMS or MRT was instructed to select the larger sized cuff.

The cuff for the monitor to be used first was placed on the respondent’s arm. If the BT monitor was used first, the respondent was left alone for a five-minute rest period, after which the HMS or MRT returned to the room. The HMS or MRT then pressed start, remained for the first reading, then left the room for approximately five minutes while the BT monitor took the remaining five readings. If the OM monitor was used first, the HMS or MRT pressed start to activate the five-minute timer on the machine then left and returned to the room after approximately nine minutes. During this time, the OM monitor automatically took three readings following the timed five-minute rest period. There was no additional five-minute rest period after the first BP monitor was used, and the HMS or MRT did not speak to the respondent or move the respondent’s position while changing the cuff and starting the protocol for the second BP monitor. If the child was uncomfortable with staying in the room alone, the parent or guardian was allowed to remain while the child relaxed, but talking and moving around were prohibited.

Age group targets were surpassed during data collection, resulting in 1,341 crossover study respondents with valid BP measurements from the OM and BT devices. Those aged 6 to 17 years were eligible for this analysis, a total of 237 respondents. Less than 2% of eligible respondents were excluded from the analysis for the following reasons: having a difference between their average BP reading from the BT and the OM devices over three standard deviations from the overall mean difference (both SBP and DBP, n=1; DBP only, n=2) or having insufficient data to derive body mass index (BMI) (n=1). The final analytical sample included 233 respondents.

Measures and definitions

BP: For the BT device, mean SBP and DBP in this study were estimated from at least three and up to five valid measurements. Of the mean SBP and DBP values, 6% were based on three measurements, 16% on four measurements, and 78% on five measurements. For the OM device, mean SBP and DBP were estimated from at least one and up to three valid measurements. Of the mean values, 3% were based on one measurement, 3% on two measurements, and 94% on three measurements. Of the study respondents, 21% had a parent or guardian present in the room while their BP was being measured.

Measured SBP and DBP were compared with sex-, age-, and height-specific SBP and DBP percentiles to classify respondents into separate BP categories under three sets of pediatric BP guidelines: the National High Blood Pressure Education Program’s Fourth Report on the Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents, published in 2004 (NHBPEP 2004);Note 19 the American Academy of Pediatrics’ Clinical Practice Guideline for Screening and Management of High Blood Pressure in Children and Adolescents, published in 2017 (AAP 2017);Note 20 and Hypertension Canada’s Comprehensive Guidelines for the Prevention, Diagnosis, Risk Assessment, and Treatment of Hypertension in Adults and Children,published in 2020 (HC 2020).Note 21

NHBPEP 2004 has the following BP categories: normal, prehypertension, Stage 1 hypertension, and Stage 2 hypertension. This categorization is included in the CHMS data files for cycles 1 to 6 as the variable BPMDBPK. AAP 2017 defines BP categories as normal, elevated BP, Stage 1 hypertension, and Stage 2 hypertension. These categories were derived for this analysis using the childhood BP macro and accompanying data files—including the updated normative pediatric BP tables—published online by Dr. B. Rosner (available from https://sites.google.com/a/channing.harvard.edu/bernardrosner/pediatric-blood-press/childhood-blood-pressure). The updated normative pediatric BP tables used to derive AAP 2017 were also used to derive hypertension under HC 2020. HC 2020 uses percentile criteria to define Stage 1 and Stage 2 hypertension for children and adolescents but does not explicitly define normal and elevated BP, so the AAP 2017 definitions for the latter two categories were applied. The criteria applied under each of the guidelines are summarized in “The impact of updated clinical blood pressure guidelines on hypertension prevalence among children and adolescents.”Note 22

BP category: The four-level BP categories under all sets of guidelines were grouped into two categories—normal or above normal.

Height:Individuals’ height was measured to the nearest 0.1 cm using a ProScale M150 digital stadiometer (Accurate Technology Incorporated, Fletcher, United States).

Height category: Individuals’ measured height was compared with sex- and age-specific height percentiles based on the Centers for Disease Control and Prevention Growth ChartsNote 23 in the childhood BP macro provided by Dr. B. Rosner (available from https://sites.google.com/a/channing.harvard.edu/bernardrosner/pediatric-blood-press/childhood-blood-pressure).

Weight: Individuals’ weight was measured to the nearest 0.1 kg with a Mettler Toledo VLC with Panther Plus terminal scale (Mettler Toledo Canada, Mississauga, Canada).

BMI: Individuals’ BMI was calculated as their measured weight in kilograms divided by measured height in metres squared. BMI categories were derived from the respondent’s BMI-for-age-and-sex z-score based on a set of cut-offs specified by the World Health Organization.Note 24

WC: Individuals’ WC was measured to the nearest 0.1 cm, directly on the landmarked skin, with a flexible, inelastic measuring tape with an attached tension metre. In keeping with the National Institutes of Health protocolNote 25 that was implemented in Cycle 2, the measure was taken at the highest point of the iliac crest.

Central obesity: Waist-to-height ratio (WHtR) is a measure of fat distribution and primarily identifies those with abdominal obesity.Note 26 It was calculated from individuals’ measured WC in centimetres divided by their measured height in centimetres. Central obesity categories corresponded to not at risk (WHtR below 0.5), at risk (WHtR from 0.50 to less than 0.55), and centrally obese (WHtR at or above 0.55).Note 27

Covariates

Sex at birth (male or female) and age in years were reported at the visit to the MEC.

Analytical techniques

Mean SBP and DBP, mean differences, prevalence across BP categories, and prevalence differences were estimated from BT and OM measurements across selected characteristics, stratified by sex. Mean SBP and DBP estimates were rounded to the nearest integer. The average amount of variability (standard deviation) in the set of measurements from each device used to estimate mean SBP and DBP was estimated by sex and age group. The frequency distribution of absolute between-device differences in SBP and DBP was estimated overall and by sex. Sex-specific Bland–Altman plots illustrated differences between devices in measured SBP and DBP, stratified by age group. Intraclass correlation coefficients (ICCs) quantified the degree of correlation and agreement between the two sets of measurements for each stratum. ICC estimates and their 95% confidence intervals (CIs) were calculated based on a k=1, consistency, two-way mixed-effects model.Note 28

The feasibility of developing prediction equations to compare BP measurements based on BT readings with those based on OM readings was assessed. Overall and sex-specific scatterplots and histograms were used to examine the correlation between, and the distribution of, SBP and DBP from both devices according to age group, BMI category, and central obesity category. The REG procedure in SAS was used to estimate separate SBP and DBP linear regression models with SBP (or DBP) measured with OM as the outcome and SBP (or DBP) measured with BT as the sole independent variable. Sex and an interaction between sex and the BT value were then tested in each model to assess the need for sex-specific models. Age in years, BMI in kg/m2, and WHtR and their polynomials (quadratic, cubic) were added sequentially to each base model (BMI and WHtR were tested in separate models as they were intercorrelated, r=0.84). Model fit statistics, including likelihood ratio tests of nested models, residual plots, and predicted R-squared values, were evaluated, and linear regression assumptions were met. The HPREG procedure with forward selection and the Schwarz Bayesian information criterion specified for model fit were then used to confirm model selection. Two sets of models—base and full (with covariates)—were generated for SBP and DBP. Regression coefficients were truncated to two decimal places, and the predicted R-squared was rounded to three decimal places. Sex-specific probability density plots of predicted versus measured SBP and DBP stratified by age group were generated. Differences between predicted and measured mean SBP and DBP were examined and tested to determine whether the difference between BT and OM measurements was statistically different from 0 (p < 0.05, paired t-test) by sex, age group, BMI, and central obesity category. Overall differences between predicted and measured BP categories were also assessed using McNemar tests, with statistical significance set at p < 0.05.

Because BP is highly variableNote 29 and consecutive BP measurements tend to regress to the mean,Note 30 device order—whether the BT device was used first or not—was added as a covariate in each final full model in a sensitivity analysis. Model fit statistics and predicted values produced by these adjusted models were assessed. 

All analyses were conducted in SAS Enterprise Guide 9.4 and SAS-callable SUDAAN 11.0.3, except for the ICCs and the probability density plots. The psych packageNote 31 was used to generate the ICCs, and the ggplot2, ggpubr, and scales packagesNote 32, Note 33, Note 34 were used to generate the density plots in RStudio 4.1.3.

Results

OMRON versus BpTRU

About half of the study sample was aged 6 to 11 years (n=117). Slightly over half were girls (n=125), and most of the sample was neither overweight nor with obesity (n=192) (Table 1). Overall mean SBP measured with OM was 9 millimetres of mercury (mmHg) higher than that measured with BT. Mean DBP measured with OM was 3 mmHg lower than that measured with BT. The average between-device difference across characteristics ranged from +4 to +12 mmHg for SBP and -5 to +2 mmHg for DBP. The mean difference in SBP between the two devices was similar for boys (9 mmHg) and girls (8 mmHg), increased for both sexes with increasing age, and was lower among those with obesity and those with central obesity (5 mmHg), compared with those without obesity or not at risk of central obesity (9 mmHg). The mean difference in DBP between devices was -4 mmHg for boys versus -2 mmHg for girls. The pattern of difference in DBP across age groups and increasing BMI or risk of central obesity was not the same for both sexes.  


Table 1
Estimates and differences in systolic and diastolic blood pressure as measured by the OMRON and BpTRU devices, by selected characteristics, crossover study sample aged 6 to 17 years, Canada, excluding territories, 2018 to 2019
Table summary
This table displays the results of Estimates and differences in systolic and diastolic blood pressure as measured by the OMRON and BpTRU devices n, Measured mean SBP (mmHg), Measured mean DBP (mmHg), OM, BT, Difference
(OM - BT) and 95% CI (appearing as column headers).
n Measured mean SBP (mmHg) Measured mean DBP (mmHg)
OM BT Difference
(OM - BT)
95% CI OM BT Difference
(OM - BT)
95% CI
from to from to
Total 233 103 94 9 8 10Table 1 Note  58 61 -3 -3 -2Table 1 Note 
Sex
Male 108 104 95 9 8 11Table 1 Note  56 60 -4 -5 -2Table 1 Note 
Female 125 101 93 8 7 9Table 1 Note  59 61 -2 -3 0Table 1 Note 
Age group
6 to 8 years 47 95 88 7 5 9Table 1 Note  56 58 -2 -5 1
9 to 11 years 70 100 93 7 5 9Table 1 Note  58 61 -3 -5 -1Table 1 Note 
12 to 14 years 56 106 97 9 8 11Table 1 Note  59 62 -3 -4 -1Table 1 Note 
15 to 17 years 60 108 98 11 9 13Table 1 Note  59 61 -2 -4 -1Table 1 Note 
Males
6 to 8 years 25 98 91 7 4 11Table 1 Note  54 59 -5 -9 -1Table 1 Note 
9 to 11 years 31 102 94 9 5 12Table 1 Note  57 61 -5 -8 -1Table 1 Note 
12 to 14 years 21 107 98 8 5 12Table 1 Note  58 61 -3 -5 -1Table 1 Note 
15 to 17 years 31 110 98 12 10 15Table 1 Note  57 59 -3 -4 -1Table 1 Note 
Females
6 to 8 years 22 92 86 7 3 10Table 1 Note  58 57 1 -3 5
9 to 11 years 39 99 92 6 4 9Table 1 Note  58 60 -2 -4 0
12 to 14 years 35 106 96 10 8 12Table 1 Note  60 62 -2 -4 -1Table 1 Note 
15 to 17 years 29 106 97 9 6 12Table 1 Note  62 64 -2 -4 0Table 1 Note 
Body mass index categories
Neither overweight nor obese 192 102 93 9 8 10Table 1 Note  57 60 -3 -4 -2Table 1 Note 
Overweight 22 108 99 9 7 11Table 1 Note  60 61 -1 -3 1
Obese 19 108 103 5 1 9Table 1 Note  64 64 0 -5 5
Males
Neither overweight nor obese 82 103 93 10 8 12Table 1 Note  55 60 -5 -6 -4Table 1 Note 
Overweight 14 109 99 10 8 12Table 1 Note  61 62 -1 -3 1
Obese 12 108 102 6 0 11 64 62 2 -5 9
Females
Neither overweight nor obese 110 101 92 8 7 10Table 1 Note  59 60 -1 -3 0Table 1 Note 
Overweight 8 107 99 8 3 13Table 1 Note  59 60 -1 -5 2
Obese 7 108 104 4 -4 12 65 68 -3 -10 4
Central obesity category
Not at risk of central obesity 198 102 93 9 8 10Table 1 Note  57 60 -3 -4 -2Table 1 Note 
At risk 19 107 100 7 5 10Table 1 Note  62 63 -1 -4 1
Centrally obese 16 109 104 5 0 10Table 1 Note  64 64 0 -5 5
Males
Not at risk of central obesity 90 104 94 10 8 12Table 1 Note  55 60 -4 -6 -3Table 1 Note 
At risk 9 108 99 9 5 12Table 1 Note  60 63 -3 -6 0
Centrally obese 9 108 104 4 -3 12 64 63 1 -8 10
Females
Not at risk of central obesity 108 100 92 8 7 10Table 1 Note  59 60 -2 -3 0Table 1 Note 
At risk 10 107 100 6 2 11Table 1 Note  63 64 0 -5 4
Centrally obese 7 109 103 6 -2 14 64 66 -2 -9 5

The average amount of variability in the set of measurements from each device used to estimate mean SBP and DBP differed by sex (Figure 1). For boys aged 6 to 14 years, there was higher variability in measurements of SBP and DBP from the BT device, compared with those from the OM device. For girls, the average amount of variability in measurements of SBP and DBP was comparable for both devices, except for girls aged 12 to 14 years. 

Figure 1 Mean (plus or minus 1 standard deviation) systolic and diastolic blood pressure, by device, sex and age group, crossover study sample aged 6 to 17 years, Canada, excluding territories, 2018 to 2019

Description of Figure 1 

Figure 1 presents a forest plot of mean systolic and diastolic blood pressure (BP) in millimetres of mercury measured by the OMRON (OM) and BpTRU (BT) devices, by sex and age group. The closed circle markers indicate the mean BP from the OM device and the open circle markers indicate the mean BP from the BT device.  The horizontal lines running through each circle marker show the range of average minus one standard deviation (SD) to average plus one SD for the mean value indicated by the circle marker.  There are separate estimates presented for each sex for four age groups: 6 to 8 years, 9 to 11 years, 12 to 14 years and 15 to 17 years.  A data table has been provided that contains all the estimates presented in this figure.

About 23% of participants had a between-device absolute difference in SBP of 5 mmHg or less, and 65% had an absolute difference in DBP of 5 mmHg or less (Chart 1). Absolute between-device agreement differences in SBP were within 5 mmHg for 27% of girls versus 18% of boys (data not shown). Differences in DBP were within 5 mmHg for 68% of girls versus 61% of boys (data not shown).

Chart 1
Frequency distribution of absolute difference between OMRON and BpTRU for systolic and diastolic blood pressure, crossover study sample aged 6 to 17 years, Canada, excluding territories, 2018 to 2019

Description of Chart 1 
Data table for Chart 1
Table summary
This table displays the results of Data table for Chart 1. The information is grouped by Age group (appearing as row headers), Absolute difference (millimetres of mercury), Systolic blood pressure and Diastolic blood pressure, calculated using percent units of measure (appearing as column headers).
Age group Absolute difference (millimetres of mercury)
Systolic blood pressure Diastolic blood pressure
percent
0 to 2 7.3 34.3
3 to 5 15.5 30.5
6 to 10 33.0 24.0
11 to 15 26.6 5.6
16 or more 17.6 5.6

For boys, there was a marginal decrease in between-device differences with increasing SBP among those aged 12 to 17 years (Figure 2-C). Conversely, there was a marginal increase in between-device differences with increasing SBP among girls aged 6 to 11 years (Figure 3-A) that was more pronounced for those aged 12 to 17 years (Figure 3-C). Between-device differences decreased with increasing DBP for those aged 6 to 11 years for both sexes (figures 2-B and 3-B) and among boys aged 12 to 17 (Figure 2-D). The ICCs for both sexes aged 6 to 11 years ranged from 0.26 (95% CI: 0.00, 0.49) to 0.56 (95% CI: 0.36, 0.71), indicating poor agreement and correlation between the two devices,Note 28 and from 0.61 (95% CI: 0.41, 0.76) to 0.85 (95% CI: 0.77, 0.91) for those aged 12 to 17 years (indicating poor to good agreement).

Figure 2 Bland–Altman plots of blood pressure differences between devices among boys aged 6 to 17 years, Canada, excluding territories, 2018 to 2019

Description of Figure 2 

Figure 2 presents Bland–Altman plots of the differences in blood pressure measurements between the OMRON (OM) and BpTRU (BT) devices for boys, by age group. It has four panels, labelled A, B, C, and D. Each panel contains a scatterplot overlaid with a regression line. In each panel, the x-axis is the average blood pressure measurement from both devices in millimetres of mercury (mmHg), while the y-axis is the difference in blood pressure measurements in mmHg between the OM and BT devices. Panel A presents systolic blood pressure (SBP) for boys aged 6 to 11 years. The regression line shows that an approximate between-device difference of +8 mmHg at an average SBP of 85 mmHg gradually declines to +7 mmHg as average SBP approaches 110 mmHg. Panel B presents diastolic blood pressure (DBP) for boys aged 6 to 11 years. The regression line shows that an approximate -8 mmHg between-device difference at an average DBP of 45 mmHg becomes close to 0 mmHg as average DBP approaches 70 mmHg. Panel C presents SBP for boys aged 12 to 17 years. The regression line shows that an approximate between-device difference of +12 mmHg at an average SBP of 90 mmHg gradually decreases to +10 mmHg as average SBP approaches 120 mmHg. Panel D presents DBP for boys aged 12 to 17 years. The regression line shows that an approximate -5 mmHg between-device difference at an average DBP of 45 mmHg gradually shrinks to -1 mmHg as average DBP approaches 70 mmHg.

Figure 3 Bland–Altman plots of blood pressure differences between devices among girls aged 6 to 17 years, Canada, excluding territories, 2018 to 2019

Description of Figure 3 

Figure 3 presents Bland–Altman plots of the differences in blood pressure between the OMRON (OM) and BpTRU (BT) devices for girls, by age group. It has four panels, labelled A, B, C, and D. Each panel contains a scatterplot overlaid with a regression line. In each panel, the x-axis is the average blood pressure measurement from both devices in millimetres of mercury (mmHg). The y-axis is the difference in blood pressure between the OM and BT devices. Panel A presents systolic blood pressure (SBP) for girls aged 6 to 11 years. The regression line shows that an approximate between-device difference of +5 mmHg at an average SBP of 80 mmHg gradually increases to +7mmHg as average SBP approaches 105 mmHg. Panel B presents diastolic blood pressure (DBP) for girls aged 6 to 11 years. The regression line shows that an approximate -2 mmHg between-device difference at an average DBP of 50 mmHg gradually moves toward 0 mmHg to become +1 mmHg as average DBP approaches 70 mmHg. Panel C presents SBP for girls aged 12 to 17 years. The regression line shows that an approximate between-device difference of +7 mmHg at an average SBP of 85 mmHg increases to +14 mmHg as average SBP approaches 125 mmHg. Panel D presents DBP for girls aged 12 to 17 years. The regression line shows that an approximate -3 mmHg between-device difference at an average DBP of 50 mmHg remains relatively unchanged as average DBP approaches 70 mmHg.

Between-device differences in normal BP prevalence varied under the three sets of guidelines. Under AAP 2017, the percentage point difference in normal BP prevalence between the OM and BT devices was -6.4 (Table 2). Under NHBPEP 2004, the difference in normal BP prevalence between OM and BT devices was -3.0 percentage points, while under HC 2020, it was -2.1 percentage points. 


Table 2
Proportion distribution across blood pressure categories under three sets of guidelines, crossover study sample aged 6 to 17 years, Canada, excluding territories, 2018 to 2019
Table summary
This table displays the results of Proportion distribution across blood pressure categories under three sets of guidelines OM, BT and Difference
(OM-BT) (appearing as column headers).
OM BT Difference
(OM-BT)
% from to % from to % from to
NHBPEP 2004
Normal BP 93.6 89.6 96.1 96.6 93.3 98.3 -3.0 -6.7 0.7
Above normal BP 6.4 3.9 10.4 3.4 1.7 6.7 Note ...: not applicable Note ...: not applicable Note ...: not applicable
AAP 2017
Normal BP 89.7 85.1 93.0 96.1 92.7 98.0 -6.4 -10.9 -2.0Table 2 Note 
Above normal BP 10.3 7.0 14.9 3.9 2.0 7.3 Note ...: not applicable Note ...: not applicable Note ...: not applicable
HC 2020
Normal BP 93.1 89.0 95.8 95.3 91.6 97.4 -2.1 -6.2 1.9
Above normal BP 6.9 4.2 11.0 4.7 2.6 8.4 Note ...: not applicable Note ...: not applicable Note ...: not applicable

Predicted versus measured blood pressure

The regression coefficients of the linear models predicting OM SBP and DBP using BT measurements are presented in Table 3. For the base models, the predicted R-squared was 0.444 for SBP and 0.389 for DBP. For the full models, it was 0.519 for SBP and 0.421 for DBP. The full SBP and DBP models produced predicted values that were slightly lower, on average, than measured values for SBP and DBP (Table 4). Figures 4 and 5 show how predicted BP from the full model compared with measured BP across the BP distribution, stratified by sex and age group. Among boys in both age groups, predicted SBP and DBP were much more likely to follow a normal distribution compared with measured SBP and DBP, resulting in poor concordance at all points in the BP distribution (Figure 4). For girls in both age groups, there was better concordance between predicted and measured SBP compared with boys, while concordance for DBP was equally poor for both sexes (Figure 5). For boys and girls, predicted BP tended to be lower than measured BP at higher values. The lower-than-measured predicted BP at higher levels resulted in significantly higher predicted normal BP prevalence, compared with measured BP, under all three sets of BP guidelines (Chart 2). Adjusting for device order in each model had no effect on predicted mean BP values or predicted BP category prevalence and did not alter the underestimation of predicted values at higher levels of BP (data not shown).


Table 3
Regression coefficients of the linear models predicting OMRON systolic and diastolic blood pressure using BpTRU measurements, crossover study sample aged 6 to 17 years, Canada, excluding territories, 2018 to 2019
Table summary
This table displays the results of Regression coefficients of the linear models predicting OMRON systolic and diastolic blood pressure using BpTRU measurements Base model and Full model (appearing as column headers).
Base model Full model
regression coefficient SE regression coefficient SE
Predicted OM SBP
Intercept 30.98 5.18 28.43 6.56
SBP measured with BT 0.76 0.05 0.80 0.06
Sex
Boy Note ...: not applicable Note ...: not applicable 37.36 9.76
GirlTable 3 Note  Note ...: not applicable Note ...: not applicable Note ...: not applicable Note ...: not applicable
Boy*SBP measured with BT Note ...: not applicable Note ...: not applicable -0.37 0.10
Age group
6 to 11 years Note ...: not applicable Note ...: not applicable -5.16 0.96
12 to 17 yearsTable 3 Note  Note ...: not applicable Note ...: not applicable Note ...: not applicable Note ...: not applicable
Model information
Predicted R2 0.444 0.519
Predicted OM DBP
Intercept 14.95 3.46 9.00 4.12
DBP measured with BT 0.71 0.05 0.66 0.05
Sex
Boy Note ...: not applicable Note ...: not applicable -2.53 0.82
GirlTable 3 Note  Note ...: not applicable Note ...: not applicable Note ...: not applicable Note ...: not applicable
Waist-to-height ratio Note ...: not applicable Note ...: not applicable 0.21 0.06
Model information
Predicted R2 0.389 0.421

Table 4
Estimates of and differences in measured and predicted mean systolic and diastolic blood pressure using OMRON, full models, by selected characteristics and sex, crossover study sample aged 6 to 17 years, Canada, excluding territories, 2018 to 2019
Table summary
This table displays the results of Estimates of and differences in measured and predicted mean systolic and diastolic blood pressure using OMRON Mean SBP (mmHg), Mean DBP (mmHg), OM
measured, OM
predicted, Difference
(OM predicted -
OM measured), Difference and 95% CI (appearing as column headers).
Mean SBP (mmHg) Mean DBP (mmHg)
OM
measured
OM
predicted
Difference
(OM predicted -
OM measured)
OM
measured
OM
predicted
Difference
(OM predicted -
OM measured)
Difference 95% CI Difference 95% CI
from to from to
Total 103 102 -1 -1 0 58 57 -1 -2 0Table 4 Note 
Sex
Male 104 104 0 -2 1 56 56 -1 -2 0
Female 101 101 -1 -2 0 59 59 -1 -2 0
Age group
6 to 8 years 95 96 1 -1 3 56 55 -1 -3 2
9 to 11 years 100 99 -1 -3 0 58 57 -1 -2 1
12 to 14 years 106 106 0 -2 2 59 58 -1 -2 1
15 to 17 years 108 107 -1 -3 1 59 58 -1 -3 0Table 4 Note 
Males
6 to 8 years 98 100 2 -1 5 54 55 1 -3 4
9 to 11 years 102 101 -1 -4 2 57 56 0 -3 2
12 to 14 years 107 108 1 -2 4 58 57 -2 -4 1
15 to 17 years 110 108 -3 -5 -1Table 4 Note  57 55 -2 -3 0Table 4 Note 
Females
6 to 8 years 92 92 0 -4 3 58 56 -2 -5 2
9 to 11 years 99 97 -2 -4 0 58 58 -1 -3 1
12 to 14 years 106 105 -1 -3 1 60 59 0 -2 1
15 to 17 years 106 106 0 -3 3 62 61 -1 -3 1
Body mass index categories
Neither overweight nor obese 102 101 0 -1 1 57 57 -1 -1 0
Overweight 108 106 -2 -4 0Table 4 Note  60 58 -2 -4 1
Obese 108 108 0 -4 4 64 62 -2 -7 2
Males
Neither overweight nor obese 103 103 0 -1 2 55 55 0 -1 1
Overweight 109 106 -3 -5 -1Table 4 Note  61 57 -3 -6 0
Obese 108 107 -1 -6 4 64 60 -4 -11 3
Females
Neither overweight nor obese 101 100 -1 -2 0 59 58 -1 -2 0
Overweight 107 106 -1 -6 3 59 59 1 -4 5
Obese 108 109 1 -6 8 65 66 1 -3 5
Central obesity category
Not at risk of central obesity 102 101 -1 -2 0 57 56 -1 -2 0
At risk 107 106 -1 -4 1 62 60 -1 -5 2
Centrally obese 109 109 0 -4 5 64 63 -1 -6 4
Males
Not at risk of central obesity 104 103 0 -2 1 55 55 -1 -2 1
At risk 108 106 -2 -5 1 60 59 -1 -5 3
Centrally obese 108 108 0 -7 7 64 62 -3 -11 6
Females
Not at risk of central obesity 100 100 -1 -2 0 59 58 -1 -2 0
At risk 107 106 -1 -5 4 63 62 -2 -7 4
Centrally obese 109 109 0 -6 7 64 65 1 -3 5

Figure 4 Probabiality density plots of the full model’s predicted versus measured blood pressure among boys aged 6 to 17 years using OMRON, crossover study sample, Canada, excluding territories, 2018 to 2019

Description of Figure 4 

Figure 4 presents probability density plots of the full model’s predicted versus measured blood pressure (BP) values among boys using OMRON (OM), by age group. It has four panels, labelled A, B, C, and D. Each panel contains two bell-shaped curved lines. The solid line depicts OM‒measured BP values, while the dotted line depicts OM‒predicted BP values. The area under each curve equals 1, representing the total probability of 1 for the full range of values in the distribution. The x-axis corresponds to the BP distribution in millimetres of mercury (mmHg), and the y-axis corresponds to a probability scale from 0.00 to 0.12, increasing at 0.04 intervals. Panel A presents systolic blood pressure (SBP) for boys aged 6 to 11 years. There is a difference in the two curves along the entire distribution, with predicted SBP less likely to fall below 95 mmHg, more likely to fall within 95 to 105 mmHg, and less likely to be above 105 mmHg than measured SBP. Panel B presents diastolic blood pressure (DBP) for boys aged 6 to 11 years. The difference in the two curves shows that predicted DBP is less likely to fall within 40 to 50 mmHg and more likely to fall from 50 to 60 mmHg than measured DBP. Panel C presents SBP for boys aged 12 to 17. There is a difference in the two curves along the entire distribution, with predicted SBP less likely to fall below 100 mmHg, more likely to fall within 105 to 110 mmHg, and less likely to be above 115 mmHg than measured SBP. Panel D presents DBP for boys aged 12 to 17. The difference in the two curves shows that predicted DBP is more likely to fall within 50 to 60 mmHg and less likely to be above 60 mmHg than measured DBP.

Figure 5 Probability density plots of the full model’s predicted versus measured blood pressure among girls aged 6 to 17 years using OMRON, crossover study sample, Canada, excluding territories, 2018 to 2019

Description of Figure 5 

Figure 5 presents probability density plots of the full model’s predicted versus measured blood pressure (BP) values among girls using OMRON (OM), by age group. It has four panels, labelled A, B, C, and D. Each panel contains two bell-shaped curved lines. The solid line depicts OM‒measured BP values, while the dotted line depicts OM‒predicted BP values. The area under each curve equals 1, representing the total probability of 1 for the full range of values in the distribution. The x-axis corresponds to the BP distribution in millimetres of mercury (mmHg), and the y-axis corresponds to a probability scale from 0.00 to 0.12, increasing at 0.04 intervals. Panel A presents systolic blood pressure (SBP) for girls aged 6 to 11 years. Predicted SBP is more likely to fall within 90 to 95 mmHg and less likely to be above 110 mmHg than measured SBP. Panel B presents diastolic blood pressure (DBP) for girls aged 6 to 11 years. There is a difference in the two curves along the entire distribution, with predicted DBP less likely to fall below 50 mmHg, more likely to fall within 50 to 60 mmHg, and less likely to be above 65 mmHg than measured DBP. Panel C presents SBP for girls aged 12 to 17. There is minimal difference between the two curves with predicted SBP slightly more likely to fall within 100 to 105 mmHg than measured SBP. Panel D presents DBP for girls aged 12 to 17. The difference in the two curves shows that predicted DBP is more likely to fall within 55 and 65 mmHg and less likely to fall from 65 to 75 mmHg than measured DBP.

Chart 2
Proportion with normal blood pressure according to measured versus predicted blood pressure using OMRON, under three sets of guidelines, crossover study sample aged 6 to 17 years, Canada, excluding territories, 2018 to 2019

Description of Chart 2 
Data table for Chart 2
Table summary
This table displays the results of Data table for Chart 2 Normal blood pressure (precent) (appearing as column headers).
Normal blood pressure (precent)
NHBPEP 2004
Measured 93.6
Predicted 99.1
AAP 2017
Measured 89.7
Predicted 98.3
HC 2020
Measured 93.1
Predicted 99.1

Discussion

This study found significant differences between the OM and BT measurements of SBP and DBP in the CHMS Cycle 6 crossover sample of children and youth aged 6 to 17 years. These between-device differences in BP produced between-device differences in BP categories under three sets of pediatric BP guidelines. The attempt to generate prediction equations to compare BP measured by both devices did not produce adequate results. It was impossible to account for the measurement differences in the BP data from both devices for this age group. Thus, Cycle 7 pediatric BP data should not be directly compared with pediatric BP data from previous cycles of the CHMS.

In an individual child, the BP difference between the 90th and 95th centile—cut-points differentiating normotensive from prehypertension or elevated BP—is 3 to 6 mmHg for SBP and 2 to 5 mmHg for DBP, depending on the BP reference tables used.19,20 To date, cycle-over-cycle absolute differences at the population level in average SBP and DBP among Canadian children and youth have been between 0 to 2 mmHg and 0 to 3 mmHg, respectively,Note 35 and differences in normal BP prevalence under NHBPEP 2004 guidelines have ranged between 0.1 and 1.4 percentage points since Cycle 1 (custom tabulation). In the crossover sample, mean SBP measured with OM was 9 mmHg higher than mean SBP measured using BT, and mean DBP measured with OM was 3 mmHg lower than DBP measured with BT. Furthermore, between-device differences in normal BP prevalence were 3.0 percentage points under NHBPEP 2004 guidelines and 6.4 percentage points under AAP 2017 guidelines. These findings suggest that not only will pediatric BP data in Cycle 7 be noticeably different from previous cycles, but the differences will be considered substantive. 

Measuring BP in children is challenging. Unlike for adults, all methods—including the gold standard auscultatory method and the use of oscillometric devices such as BT and OM—face obstacles, including small arm dimensions, small and elastic arteries, and difficulties in accurately assessing DBP.Note 36 This can contribute to heterogeneity in BP measurement when comparing methods. Also, different oscillometric devices use different cuff sizes and proprietary algorithms to calculate SBP and DBP, potentially introducing further differences in measurement.Note 37 Properly selecting an appropriate cuff size for measuring pediatric BP is essential,Note 38 and studies have shown that different cuff sizes used on the same person or cuffs that are too small or too large can affect results.Note 39, Note 40 In the current study, 6% of the crossover sample—all in the 6-to-11-year age group—had their BP measured by the BT device using the child cuff size (13 to 18 cm). These same respondents were given the smallest cuff size available for the OM device (17 to 22 cm). The cuff size discordance, coupled with smaller arm dimensions, may help explain why the poor agreement between BT and OM measurements was more pronounced among the younger age group.

The attempt to develop equations using linear regression to facilitate data comparability between Cycle 7 pediatric BP and earlier cycles was unsuccessful. The prediction models could not resolve the level of poor agreement and correlation between the two devices for those aged 6 to 17 years. While the average predicted values were within +2 to -4 mmHg of measured values, there was disagreement between the predicted and the measured values at most points along the BP distribution. This disagreement resulted in fewer respondents having predicted values at higher levels of BP, and this in turn produced predicted BP prevalence that overestimated the proportion of respondents with normal BP.

It is unsurprising that the current study found substantive differences in measurement between the OM and BT devices among this sample of 6- to 17-year-olds given the observed differences in BP measurement between these devices among adults;14,39 the reported heterogeneity in pediatric BP measurement across methods, devices, and cuff sizes;Note 36, Note 37, Note 41 and the OM device not meeting validation criteria for DBP among children and youth.Note 10, Note 11 Moreover, the prediction equations could not resolve these differences. Consequently, the Cycle 7 pediatric BP data should be considered a break from previous cycles and should not be directly compared with pediatric BP data from cycles 1 to 6. This should be acknowledged when reporting estimates of pediatric BP data based on the CHMS. Furthermore, the change in measured SBP, DBP, and BP prevalence resulting from the introduction of the OM device in Cycle 7 should not be interpreted or reported as a genuine change in the BP of Canadian children and youth.

Strengths and limitations

This study has several strengths. BP, height, and weight were measured objectively using systematic methodologies. All respondents had their BP measured by trained staff who followed strict protocols during a single visit to the MEC, and device order was randomly assigned. Nevertheless, the results of this study should be interpreted considering certain limitations. The respondents aged 6 to 17 years included in the crossover study were selected from only two sites. Compared with respondents in the same age group from the other sites, the study participants were slightly older (the average age was 12 years, compared with 11 years for other respondents), were slightly more likely to be female (54% versus 50%), had slightly lower body weight (18% were overweight or with obesity versus 25%), and had slightly lower average BT-measured SBP (94 versus 96 mmHg) and DBP (61 versus 62 mmHg). Because measured arm circumference is not included in the CHMS data, it was impossible to assess how arm circumference relative to selected cuff size may have contributed to between-device differences. The study’s limited sample size reduced statistical power for examining and interpreting differences in SBP, DBP, and BP categories and constrained the number of variables that could be tested in the predictive equations. 

Conclusion

The introduction of the OM monitor in Cycle 7 of the CHMS will result in pediatric BP data that are substantively different from previous cycles. Mean SBP levels will be higher, and mean DBP levels and the prevalence of normal BP will be lower. These changes should not be interpreted or reported as a genuine change in the BP of Canadian children and youth. Cycle 7 BP data for those aged 6 to 17 years should be considered a break from previous cycles and not be directly compared with pediatric BP data from cycles 1 to 6. Also, the impact of switching BP devices on the data should be acknowledged when reporting estimates of pediatric BP based on Cycle 7 of the CHMS.

Acknowledgments

The authors would like to thank Heather Gilmour, Vincent Mak, and Anne Mather for their contributions to the development of the framework for this analysis, and Joel Barnes for sharing his expertise in R.

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