Blood Pressure Measurement Poor Reliability of Wrist Blood Pressure Self-Measurement at Home A Population-Based Study Edoardo Casiglia, Valérie Tikhonoff, Federica Albertini, Paolo Palatini Downloaded from http://hyper.ahajournals.org/ by guest on June 14, 2017 Abstract—The reliability of blood pressure measurement with wrist devices, which has not previously been assessed under real-life circumstances in general population, is dependent on correct positioning of the wrist device at heart level. We determined whether an error was present when blood pressure was self-measured at the wrist in 721 unselected subjects from the general population. After training, blood pressure was measured in the office and self-measured at home with an upper-arm device (the UA-767 Plus) and a wrist device (the UB-542, not provided with a position sensor). The upperarm−wrist blood pressure difference detected in the office was used as the reference measurement. The discrepancy between office and home differences was the home measurement error. In the office, systolic blood pressure was 2.5% lower at wrist than at arm (P=0.002), whereas at home, systolic and diastolic blood pressures were higher at wrist than at arm (+5.6% and +5.4%, respectively; P<0.0001 for both); 621 subjects had home measurement error of at least ±5 mm Hg and 455 of at least ±10 mm Hg (bad measurers). In multivariable linear regression, a lower cognitive pattern independently determined both the systolic and the diastolic home measurement error and a longer forearm the systolic error only. This was confirmed by logistic regression having bad measurers as dependent variable. The use of wrist devices for home self-measurement, therefore, leads to frequent detection of falsely elevated blood pressure values likely because of a poor memory and rendition of the instructions, leading to the wrong position of the wrist. (Hypertension. 2016;68:896-903. DOI: 10.1161/HYPERTENSIONAHA.116.07961.) Online Data Supplement • Key Words: blood pressure ■ epidemiology B lood pressure (BP) independently predicts cardiovascular risk in affluent countries.1–5 However, several studies have shown that awareness of hypertension and BP control is still suboptimal,1 and thus effective strategies should be developed to improve BP control and adherence to therapy. One of the methods used to achieve these goals is represented by self-measurement of BP at home by automatic devices. Many studies have shown that BP self-measurement at home allows a better BP control in hypertension and has a greater prognostic value than office BP.6,7 In addition, self BP measurement is more appealing to the patient than the customary procedure in the physician’s surgery often causing long waits.6 Upper-arm automatic devices gave fresh impetus to home self-measurement because of their user friendliness,8 the only conditions to be respected being adequate cuff dimensions and correct positioning of the cuff on the patient’s arm.9–14 For reasons of market penetration and following a general tendency to miniaturization, many wrist devices recently appeared on the market15 having the advantage of being smaller and easier to fit than upper-arm monitors,16 and today wrist devices are used by a large portion of people who measure their BP at home.17 However, in spite of technical improvement, ■ heart ■ methods ■ wrist their reliability in real-life conditions is not unanimously accepted.18–20 Accuracy of BP measurement at wrist largely depends on the difference in height between the wrist and the heart because of the confounding effect of the hydrostatic pressure caused by the limb blood column.21–23 Wrists kept at a higher level in comparison with the heart lead to a false lower, and wrists at a lower level lead to a false higher BP values. Very rarely do patients receive appropriate training from family doctors or other healthcare personnel. Instructions attached to commercial packages require a certain degree of personal discernment, i.e., a good cognitive pattern. Only a few models have a position sensor to verify that the wrist is placed properly at heart level,24 but even for these devices, no study has evaluated their reliability in real-life conditions. The aim of the present study was to ascertain whether wrist home BP is performed reliably or an error is present in measurement, and to identify the determinants of this error if any. To verify the reliability of wrist BP self-measurement, we determined at a population level the upper-arm−wrist BP difference in the office under a doctor’s supervision and then verified whether this difference was maintained during home self-measurement. Received June 5, 2016; first decision June 16, 2016; revision accepted July 12, 2016. From the Department of Medicine, University of Padua, Italy. The online-only Data Supplement is available with this article at http://hyper.ahajournals.org/lookup/suppl/doi:10.1161/HYPERTENSIONAHA. 116.07961/-/DC1. Correspondence to Edoardo Casiglia, Department of Medicine, University of Padua, Via Giustiniani, 2, Padua, Italy. E-mail [email protected] © 2016 American Heart Association, Inc. Hypertension is available at http://hyper.ahajournals.org DOI: 10.1161/HYPERTENSIONAHA.116.07961 896 Casiglia et al Unreliable Wrist Home BP 897 Methods Study Population and General Protocol The analysis involved in the frame of the GOLDEN study (Growing Old With Less Disease Enhancing Neurofunctions), 721 unselected subjects were recruited from an Italian general population (response rate to call 73%), aged 49.3±15.4 (range, 18.0–89.8) years, living in an area of ≈107 km2 and sharing homogeneous lifestyle.25 At screening, all underwent anthropometrics and a questionnaire.26 Education was defined as years of schooling based on the highest educational qualification achieved. Height (in m) and weight (in kg) were recorded without shoes with the subjects wearing light indoor clothing.27 Biceps skinfold thickness28 was measured (in mm) with a plicometer (Holtain Ltd, Crymych, United Kingdom) applying a caliper pressure of 10 g mm−2. At the screening, no subjects had atrial fibrillation that could decrease the accuracy of automatic BP measurement, so that no one was excluded because of this reason. Devices Downloaded from http://hyper.ahajournals.org/ by guest on June 14, 2017 The AND device Model UA-767 Plus was used for upper-arm BP measurement and the AND device Model UB-542 for wrist measurement (A&D Company, Tokyo, Japan). The UA-767 Plus was validated for BP measurement by the British Hypertension Society (A/A grading),29 and the UB-542 was validated according to the European Society of Hypertension International Protocol revision 2010.30 For the upper-arm measurement, a standard cuff was used for arm circumferences of up to 32 cm and a large cuff for circumferences of >32 cm. For the wrist measurement, the wrist circumference had to be within the 13.5- to 21.5-cm range as recommended by the manufacturer. No subject had a wrist circumference outside this range. BP Measurement and Training During the initial visit, after a 5-minute rest in the sitting posture, all subjects had their BP measured at upper-arm and wrist by a physician in triplicate to minimize alert reaction. The last 2 readings were averaged and considered as upper-arm office BP and wrist office BP. Subjects then received an individual training about the use of the 2 devices, teaching theory and answering questions, if any. For upperarm BP, they were trained to undress their nondominant arm, to rest in the sitting position for 5 minutes, to apply the cuff taking care of the position on the artery, to keep the elbow on a desk and the forearm horizontal, and to proceed with automatic BP measurement without moving from their seat. Then, they had to remove the cuff, to apply the wrist device on the same arm, to keep the elbow on the desk with the forearm bent to place the wrist at heart level (Figure 1A), and to measure wrist BP, once more without moving from their seat. The waiting times were the same for all measurements. Then, the subject had to self-measure upper-arm and wrist BP under a physician’s supervision. It was decided to measure first the upper-arm and then the wrist BP both at home and in the office to avoid confusion, as a random protocol seemed to be too difficult to pursue in uncontrolled home conditions. Home Self-Measurement Subjects were asked to self-measure the upper-arm and then the wrist BP at home every morning and evening at the same time of the day for 7 consecutive days by means of the 2 devices cited above, following the instructions received during training. After getting the BP reports back, the arm and wrist BP values self-measured in the 7 days were averaged separately for systolic and diastolic BP and considered as upper-arm home BP and wrist home BP in data analysis. Presumptive Error in Home Self-Measurement The difference between BP recorded at the upper arm and BP measured at the wrist was calculated (separately for systolic and diastolic) both in the office and at home. At home, self-measured BP on each morning and evening were averaged, obtaining for each day a systolic and a diastolic mean value. The differences between upper-arm BP−wrist BP day 1, upper-arm BP−wrist BP day 2, and so on, for each day were calculated for systolic and diastolic BP and averaged to obtain the mean home upper-arm−wrist BP difference for systolic and diastolic, respectively. The upper-arm−wrist BP difference obtained in the office under doctor’s supervision was considered as the reference value. To evaluate how much the upper-arm−wrist BP difference measured by the study participant at home deviated from the office reference value, we calculated the discrepancy between the office and home differences, separately for systolic and diastolic BP, as (office upper-arm−office wrist BP difference) −(home upper-arm−home wrist difference), and defined this discrepancy as home measurement error. According to most authorities considering as tolerable a mean difference between 2 measurements up to 5 mm Hg when automatic devices are used,31 subjects showing a home measurement error greater than ±5 mm Hg were labeled as bad measurers and subjects with home measurement error within ±5 mm Hg as good measurers. As this limit might be considered too restrictive, the same operation was then performed using ±10 instead of ±5 mm Hg as boundaries. Both the continuous variable home measurement error (in mm Hg) and the categorical variable bad measurer (0=no, 1=yes) were separately used in data analysis. Neuropsychological Assessment At the initial visit, cognitive assessment was performed by a MiniMental State Examination32 and by a comprehensive neuropsychological battery of validated paper-and-pencil tests standardized for Italian people33 administered in a single session lasting ≈2 hours. Details are described Cognitive Pattern Assessment section of onlineonly Data Supplement and in Table S1 in the online-only Data Supplement. Ethics The investigation conformed to the Declaration of Helsinki and institutional guidelines, and was approved by the Ethics Committees of the University of Padua, of the University Hospital of Verona, and of the Local Health Units No. 4 and No. 20 of the Veneto Region (Italy). Each subject gave and signed informed consent. Statistics Sample size As to our knowledge, no experience is available about arm and wrist BP self-measured at home at a population level in epidemiological setting, it was assumed a priori a plausible difference between arm and wrist BP at home around 10±10 mm Hg for systolic and 5±10 for diastolic BP. Power analysis showed that 148 subjects per group in equality for the 2 proportions test were sufficient to show effects with a power of 0.90 and a test level of 0.10 for β error and of 0.20 for α error. Therefore, the cohort of 721 subjects recruited for the present study seemed to be adequate even after stratifying by upper-arm and wrist and by office and home measurements. General and Descriptive Statistics Linearity assumption was ascertained for each variable by the residuals method and normality assumption by the Kolmogorov–Smirnov 1-sample test. Continuous variables were expressed as mean and SD and compared between groups with ANOVA and the Bonferroni post hoc test. In a first model, crude values were considered to describe BP values. Then the analysis was adjusted for age, sex, highest educational level achieved, hypertension, forearm length, upper-arm circumference, and the cognitive tests cited in Cognitive Pattern Assessment section of online-only Data Supplement. Categorical variables were expressed as percent rate and compared with the χ2 test. To show the discrepancies between upper-arm and wrist BP measurements in the 2 settings, the Bland–Altman approach was used. Multiple Regression Analysis The hypothesis was advanced that the home measurement error could depend on an erroneous position of the forearm at home with the wrist at a lower level than the heart, because of imperfect comprehension, memorization, or practical execution of instructions. To test 898 Hypertension October 2016 Downloaded from http://hyper.ahajournals.org/ by guest on June 14, 2017 Figure 1. Correct (A) and incorrect (B–D) forearm positions in wrist blood pressure measurement. Dashed line indicates heart level. Position B (wrist higher than heart level) leads to falsely lower values. Positions C and D (forearm in horizontal position or vertical close to the body) lead to falsely higher values. this hypothesis, home systolic and diastolic errors as defined above were separately used as dependent variables in regression analyses adjusted for the confounders listed above, having forearm length and cognitive assessment variables as putative independent determinants. The item bad measurer was used as dependent variable in logistic regression adjusted for the confounders listed above. Coefficients were shown with 95% confidence intervals. The null hypothesis was rejected for P<0.05. Results Descriptive Analysis The characteristics of the cohort are summarized in Table 1. In Table S2, data are stratified by arterial hypertension and in Table S3 by normalization of arterial hypertension. In Tables S4, subjects are stratified according to the trait of bad measurer. All subjects had Mini-Mental State Examination >25 and were classified as having no patent clinical cognitive impairment. As shown in Figure 2, office systolic BP was lower at the wrist than at the arm, whereas office diastolic BP showed a negligible difference (−2.5%; P=0.002 for systolic; −0.7% for diastolic, nonsignificant). In contrast, at home both systolic and diastolic BPs were higher at the wrist than at the arm (+5.6%, P<0.0001 for systolic; +5.4%, P<0.0001 for diastolic). The corresponding values adjusted for the confounders listed above are shown in Figure S1. These discrepancies were also present within the subgroup of people with hypertension, both in crude and adjusted analysis (Figures S2 and S3). The upper-arm−wrist BP differences in the office and at home are presented in Figure 3. Bland– Altman plots for the office and home systolic BP measurements are shown in Figure 4. A greater dispersion around the mean was present at office (SD, 13.0 mm Hg) than at home (8.1 mm Hg). The average systolic measurement error was 9.6±15.1 mm Hg and the diastolic measurement error was 4.6±10.0 mm Hg. Casiglia et al Unreliable Wrist Home BP 899 Table 1. Characteristics of the Cohort, Also Showing Stratification by Sex Items Whole Cohort (n=721) Men (n=310) Women (n=411) P Value Age, y 49.3±15.4 49.9±15.6 48.8±15.3 0.3 Forearm length, cm 23.8±3.0 24.8±3.2 23.0±2.6 0.0001 Upper-arm length, cm 36.9±16.0 38.4±17.0 35.9±15.1 0.04 Upper-arm circumference, cm 28.9±3.2 29.3±3.0 28.5±3.1 0.0005 Office upper-arm SBP, mm Hg 131.2±19.0 135.9±17.2 127.6±19.5 0.0001 Office upper-arm DBP, mm Hg 82.5±10.8 85.0±10.5 80.7±10.7 0.0001 Downloaded from http://hyper.ahajournals.org/ by guest on June 14, 2017 Office wrist SBP, mm Hg 127.9±18.7 134.3±17.4 123.1±18.1 0.0001 Office wrist DBP, mm Hg 81.9±12.0 85.5±12.0 79.1±11.2 0.0001 Heart rate, bpm 65.7±10.6 63.3±11.1 67.5±9.8 0.0001 Serum LDL-C, mg/dL 126.6±30.2 130.9±30.3 123.4±29.9 0.001 Serum triglycerides, mg/dL 105.1±69.8 124.6±87.5 90.3±47.6 0.0001 Serum HDL-C, mg/dL 59.4±16.7 52.7±13.7 64.6±17.0 0.0001 Smoking (0: no; 1: yes) 106 (14.7%) 50 (16.1%) 56 (13.6%) 0.3 Alcohol intake (0: no; 1: yes) 325 (45.1%) 204 (65.8%) 121 (29.4%) 20 (2.8%) 14 (4.5%) 6 (1.5%) 353 (49.0%) 184 (59.4%) 169 (41.1%) 12 (1.7%) 6 (1.9%) 6 (1.5%) Diabetes mellitus (0: no; 1: yes) Hypertension (0: no; 1: yes) COPD (0: no; 1: yes) 0.0001 0.02 0.0001 0.7 Systolic and diastolic blood pressures (SBP and DBP) are those measured at the screening, before the individual training. COPD indicates chronic obstructive pulmonary disease; HDL-C, high-density-lipoprotein cholesterol; and LDL-C, low-density-lipoprotein cholesterol. According to the ±5 mm Hg cutoff, 100 subjects (13.9%) turned out to be good measurers (home measurement error within ±5 mm Hg) and 621 (86.1%) to be bad measurers (home measurement error outside the ±5-mm Hg interval); among the latter, 508 (81.8% of the bad measurers and 70.4% of the entire cohort) had higher wrist than upper-arm home BP and 113 had lower wrist than upper-arm home BP (18.2% of the bad measurers and 15.7% of the entire cohort). The same analysis for ±10-mm Hg home measurement error is shown in the Results for ±10 mm Hg Home Measurement Error section of online-only Data Supplement. Among the good measurers (within the ±5-mm Hg interval), the correlation between office and home measurement Figure 2. Upper-arm and wrist blood pressures in the office and at home. P<0.0001, *vs upper-arm systolic home blood pressure (BP), †vs wrist systolic home BP, ‡vs upper-arm diastolic home BP, §vs wrist diastolic home BP. was 0.854 (P<0.0001) for upper-arm systolic BP and was 0.868 (P<0.0001) for wrist systolic BP (z statistics, −0.62; P=0.6 between the 2). Within the bad measurers with home measurement error <−5 mm Hg (presumably those who kept the wrist at a lower level than the heart), the correlation between office and home measurement was 0.655 (P<0.0001 versus good measurers) for upper-arm systolic BP and 0.591 (P<0.0001 versus good measurers) for wrist systolic BP. Multivariable Regression Analysis In multivariable linear regression (Table 2), lower praxic abilities were determinants of both systolic and diastolic errors. Lower memory with interference was also a determinant of Figure 3. Differences between arm and wrist blood pressure (BP) values in the office and at home. P<0.0001, *vs upper-arm systolic home blood pressure (BP), †vs wrist systolic home BP, ‡vs upper-arm diastolic home BP, §vs wrist diastolic home BP. 900 Hypertension October 2016 Figure 4. Bland–Altman plot of upperarm−wrist blood pressure differences measured in the office and at home. Lines depict mean and 95% limits of agreement. Downloaded from http://hyper.ahajournals.org/ by guest on June 14, 2017 the systolic error, and clock drawing test was a determinant of diastolic error. Forearm length was a direct determinant of the systolic error only (Table 2). Arterial hypertension was a direct confounder for both errors, whereas the systolic error was also directly confounded by older age, greater arm circumference, higher systolic or pulse pressure. In sensitivity analysis, taking selectively into consideration the 508 bad measures presumably keeping the wrist lower than the heart level, the association between forearm length and the systolic error was greater (coefficient, 7.22; SE, 1.46; confidence interval, 1.20–8.31; P=0.0005), without any significant changes in the rest of the model. The multivariable linear analysis stratified by sex is shown in Tables S5 and S6: in men, lower memory was a determinant of both systolic error and diastolic error and lower praxic abilities and clock drawing test of the diastolic error only. Among the women, lower memory, lower praxic abilities, and longer forearm were determinant of the systolic error and clock drawing test of the diastolic error. In multivariable logistic regression, lower praxic abilities (odds ratio, 0.167; P=0.0005), memory with interference (odds ratio, 0.921; P=0.007), and abstraction (odds ratio, Table 2. Whole Cohort Dependent Variable: Home Systolic Error Dependent Variable: Home Diastolic Error Coefficient (SE) 95% CI of the Coefficient P Value Coefficient (SE) 95% CI of the Coefficient P Value Praxic abilities (score) −7.67 (3.75) −15.02 to −0.32 0.04 −5.94 (2.50) −10.84 to −1.05 0.02 MI 10 (score) −2.20 (0.82) −3.81 to −0.59 0.007 −3.94 (0.91) −5.72 to −2.15 0.0001 5.94 (2.74) 0.56 to 11.32 0.03 −0.69 (0.55) −1.76 to 0.38 0.2 Independent Covariables Determinants Forearm length, cm Forearm length,* cm Clock drawing test (score) 7.22 (1.46) 1.20 to 8.31 −2.25 (1.36) −4.92 to 0.42 0.0005 0.1 0.95 (1.83) −5.94 (2.50) −2.64 to 4.53 0.6 −10.84 to −1.05 0.02 Confounders Age, y 0.10 (0.03) 0.04 to 0.16 0.001 0.03 (0.02) −0.01 to 0.07 0.1 Sex (0: women; 1: men) −1.28 (0.75) 0.19 to 2.74 0.1 −0.94 (0.50) −1.91 to 0.04 0.1 Arm circumference, cm 13.35 (3.03) 7.41 to 19.28 0.0001 −0.02 (2.02) −3.97 to 3.94 1.0 2.02 (0.85) 0.36 to 3.68 0.02 1.17 (0.56) 0.06 to 2.28 0.04 Systolic blood pressure, mm Hg 9.81 (4.27) 1.45 to 18.18 0.02 4.89 (2.84) −0.60 to 10.46 0.1 Pulse pressure, mm Hg 3.23 (1.58) 0.14 to 6.33 0.04 1.57 (1.05) −0.48 to 3.63 0.1 Abstraction (score) −0.80 (0.91) −2.58 to 0.97 0.4 −1.05 (0.60) −2.24 to 0.13 0.1 Digit span (score) 0.72 (1.89) −2.99 to 4.42 0.7 0.73 (1.26) −1.74 to 3.20 0.6 Hypertension (1: yes) IPM (score) −0.48 (0.91) −2.27 to 1.31 0.6 0.11 (0.61) −1.08 to 1.31 0.9 Education, y 1.78 (1.19) −0.56 to 4.12 0.1 0.36 (0.80) −1.20 to 1.92 0.7 Multiple linear regression. Systolic and diastolic errors as dependent variable, respectively. Age, sex, hypertension, arm circumference, forearm length, systolic blood pressure, educational level, memory with interference at 10 s test (MI 10), immediate prose memory (IPM), praxic abilities, clock drawing, abstraction, and digit span tests as independent variables. Pulse pressure was used in alternative to systolic and diastolic blood pressure. CI indicates confidence interval. *Selectively in the 508 subjects keeping the wrist higher than the heart level. Casiglia et al Unreliable Wrist Home BP 901 0.870; P=0.02) were negatively associated, and forearm length (odds ratio, 1.066; P=0.03) was positively associated with ±5 bad measurers (complete analysis is available in Table S7). Discussion Downloaded from http://hyper.ahajournals.org/ by guest on June 14, 2017 The main finding of our study is that the relationship between BP measured at the upper-arm and at the wrist varied according to whether BP measurements were made in the office under a doctor’s supervision or at home in a real-life situation. When BP was taken in the office, the values measured at the wrist were, as shown by others,18–25 slightly lower than those measured at the upper-arm. In contrast, when BP was self-measured at home by the study participants, higher BP values were obtained at the wrist than at the arm. In the large majority of the participants classified as bad measurers, the home measurement error was because of a disproportionately high wrist BP. The discrepancy between the upper-arm−wrist BP difference obtained in the 2 settings is probably because of an error in home self-measurement despite appropriate training. It is likely that many subjects, when left free to measure their BP at home, did not follow the instructions received during the training session because of a deficit in memory or in executive functions, a limitation that persisted after adjustment for age and was not prevented by years of schooling. Inability to follow the instructions for poor memorization and carelessness were likely to affect wrist BP rather than upper-arm BP measurement because of the important effect of an incorrect forearm position on wrist BP. Accurate measurement of BP at the wrist requires that the heart and the wrist are kept at the same level to avoid the effects of hydrostatic pressure. If the forearm is kept horizontal on the supporting desk (Figure 1C), leaning or even vertical along the subject’s side (Figure 1D), the hydraulic pressure caused by the upper limb blood column mass is added to the hemodynamic pressure and their sum is recorded by the wrist device. Based on the difference between density of human blood and mercury, in the present study, the magnitude of the home measurement error would translate into an average level discrepancy between the heart and the wrist of 10±11 cm (confidence interval, 9.1– 11.5). According to this extrapolation, in our experience, the range of the error was from 10 over to 65 cm under the heart level. Obviously, part of the upper-arm−wrist BP difference may be because of random BP variability between 1 measurement and the other or to unreliable upper-arm BP measurements, and thus the differences in level reported above can only be considered as indicative. This interpretation was confirmed by significant effect of forearm length in multivariable linear analyses for the systolic home measurement error. When the wrist is kept at a lower level than the elbow (Figure 1D), a longer forearm magnifies the hydrostatic effect of the wrong arm position,34 an effect that is notoriously more pronounced for systolic than for diastolic BP.35–37 The reason for the wrong position of forearm in a high number of subjects was probably because of a worse cognitive pattern, as shown by the inverse association of the measurement error with memory, praxic abilities, visuospatial, and executive functions, as shown for instance by the clock drawing test. It is presumable that subjects having worse cognition were those more prone to make a mistake in wrist self-measurement. This interpretation is corroborated by previous observations that wrist devices provided with a position sensor, helping subjects to keep the wrist at heart level, usually give lower values than those without a sensor.24 In the present study, it was decided to use wrist monitors without a sensor because these are the devices mostly used in the real world. The home measurement error was also associated with higher BP levels or the diagnosis of hypertension. A higher BP is likely to affect the magnitude of the measurement error. In addition, in keeping with previous study,38 the hypertensive participants had a much worse cognitive pattern, as shown in Table S2. However, the measurement error was also present among the normotensives. Clinical Relevance An upper-arm−wrist difference greater than ±5 or ±10 mm Hg was reached at home by the majority of the participants, presumably for an improper use of wrist BP monitors. This is alarming as it is estimated24 that wrist devices for self-measurement have gained 30% to 50% of the market share of the BP measuring devices sold in affluent countries, and most people use them without any preliminary training from healthcare personnel. Limitations The main limitation is that we had no gold standard for establishing the reliability of wrist self-measurement at home. We could not use office wrist BP as the reference because, as shown by our results, home BP is generally lower than office BP and is devoid of the alarm reaction. For this reason, we used the difference between upper-arm and wrist office BP as a reference presuming that, although at a different BP level, the upperarm−wrist BP difference would not vary in the 2 settings. A further limitation is that we assumed that the home measurement error was mainly because of misuse of the wrist rather than the arm device because of the well known problems inherent to the use of wrist devices. However, the relationship of the forearm length with the home measurement error lends support to our assumption. It was also decided to measure first upper-arm and then wrist BP both at home and in the office to avoid confusion, as it appeared that a random protocol was too difficult to pursue by subjects free to act in uncontrolled home conditions. This is not a major problem, because at home, wrist BP was higher than upper-arm BP. Finally, in our study, a remarkable whitecoat effect was found, probably because of the epidemiological setting in the office; however, a similar white-coat effect was to be expected with upper-arm and wrist measurement.39 Strengths of the study are general population setting, the large sample size, taking into consideration both morning and evening measurements as home BP, and the use of the same 2 devices in each subject for the office and home measurements, thereby avoiding the confounding effect of different BP monitors. Perspectives At a population level, the use of wrist devices for self BP measurement often leads to detection of falsely elevated BP 902 Hypertension October 2016 values. This is likely to be because of poor comprehension and/or to incorrect application of instructions leading to incorrect position of the arm during self-measurement, a problem that for hydraulic reasons can be magnified by longer forearms. This represents a public health problem because of the overestimation of people with hypertension, with increase in costs for the community and deterioration of quality of life for the patient. A worse cognitive pattern is a key factor in this chain of events. It is thus prudent to discourage the use of wrist devices in patients in whom cognitive deterioration is likely to be present. Sources of Funding This study was funded by the Italian Ministry of Health (RF2009-1469148, GOLDEN study [Growing Old With Less Disease Enhancing Neurofunctions]). Disclosures Downloaded from http://hyper.ahajournals.org/ by guest on June 14, 2017 None. References 1. Casiglia E, Tikhonoff V, Mazza A, Pessina AC. Systolic and pulse hypertension. Aging Health. 2005;1:85–94. 2. Casiglia E, Mazza A, Tikhonoff V, Pavei A, Privato G, Schenal N, Pessina AC. Weak effect of hypertension and other classic risk factors in the elderly who have already paid their toll. J Hum Hypertens. 2002;16:21– 31. doi: 10.1038/sj.jhh.1001288. 3. Tikhonoff V, Kuznetsova T, Stolarz K, Bianchi G, Casiglia E, KaweckaJaszcz K, Nikitin Y, Tizzone L, Wang JG, Staessen JA. beta-Adducin polymorphisms, blood pressure, and sodium excretion in three European populations. Am J Hypertens. 2003;16:840–846. 4. Casiglia E, Tikhonoff V, Mazza A, Piccoli A, Pessina AC. Pulse pressure and coronary mortality in elderly men and women from general population. J Hum Hypertens. 2002;16:611–620. doi: 10.1038/ sj.jhh.1001461. 5. Casiglia E, Palatini P. Cardiovascular risk factors in the elderly. J Hum Hypertens. 1998;12:575–581. 6.Little P, Barnett J, Barnsley L, Marjoram J, Fitzgerald-Barron A, Mant D. Comparison of acceptability of and preferences for different methods of measuring blood pressure in primary care. BMJ. 2002;325:258–259. 7.Boggia J, Thijs L, Hansen TW, et al; International Database on Ambulatory blood pressure in relation to Cardiovascular Outcomes Investigators. Ambulatory blood pressure monitoring in 9357 subjects from 11 populations highlights missed opportunities for cardiovascular prevention in women. Hypertension. 2011;57:397–405. doi: 10.1161/ HYPERTENSIONAHA.110.156828. 8.McManus RJ, Wood S, Bray EP, Glasziou P, Hayen A, Heneghan C, Mant J, Padfield P, Potter JF, Hobbs FD. Self-monitoring in hypertension: a web-based survey of primary care physicians. J Hum Hypertens. 2014;28:123–127. doi: 10.1038/jhh.2013.54. 9. Manning DM, Kuchirka C, Kaminski J. Miscuffing: inappropriate blood pressure cuff application. Circulation. 1983;68:763–766. 10. Mourad JJ, Lopez-Sublet M, Aoun-Bahous S, Villeneuve F, Jaboureck O, Dourmap-Collas C, Denolle T, Fourcade J, Baguet JP. Impact of miscuffing during home blood pressure measurement on the prevalence of masked hypertension. Am J Hypertens. 2013;26:1205–1209. doi: 10.1093/ajh/hpt084. 11. Mengden T, Asmar R, Kandra A, Di Giovanni R, Brudi P, Parati G. Use of automated blood pressure measurements in clinical trials and registration studies: data from the VALTOP Study. Blood Press Monit. 2010;15:188– 194. doi: 10.1097/MBP.0b013e328339d516. 12. Niyonsenga T, Vanasse A, Courteau J, Cloutier L. Impact of terminal digit preference by family physicians and sphygmomanometer calibration errors on blood pressure value: implication for hypertension screening. J Clin Hypertens (Greenwich). 2008;10:341–347. 13.Nietert PJ, Wessell AM, Feifer C, Ornstein SM. Effect of terminal digit preference on blood pressure measurement and treatment in primary care. Am J Hypertens. 2006;19:147–152. doi: 10.1016/j. amjhyper.2005.08.016. 14. Graves JW, Bailey KR, Grossardt BR, Gullerud RE, Meverden RA, Grill DE, Sheps SG. The impact of observer and patient factors on the occurrence of digit preference for zero in blood pressure measurement in a hypertension specialty clinic: evidence for the need of continued observation. Am J Hypertens. 2006;19:567–572. doi: 10.1016/j.amjhyper.2005.04.004. 15.Shirasaki O, Terada H, Niwano K, Nakanishi T, Kanai M, Miyawaki Y, Souma T, Tanaka T, Kusunoki T. The Japan Home-health Apparatus Industrial Association: investigation of home-use electronic sphygmomanometers. Blood Press Monit. 2001;6:303–307. 16. Westhoff TH, Schmidt S, Meissner R, Zidek W, van der Giet M. The impact of pulse pressure on the accuracy of wrist blood pressure measurement. J Hum Hypertens. 2009;23:391–395. doi: 10.1038/ jhh.2008.150. 17.Vaïsse B, Mourad JJ, Girerd X, Hanon O, Halimi JM, Pannier B; Comité Français de lutte Contre l’hypertension Artérielle. Flash Survey 2012: the use of self-measurement in France and its evolution since 2010. Ann Cardiol Angeiol (Paris). 2013;62:200–203. doi: 10.1016/j. ancard.2013.03.003. 18. Palatini P, Longo D, Toffanin G, Bertolo O, Zaetta V, Pessina AC. Wrist blood pressure overestimates blood pressure measured at the upper arm. Blood Press Monit. 2004;9:77–81. 19. Uen S, Fimmers R, Brieger M, Nickenig G, Mengden T. Reproducibility of wrist home blood pressure measurement with position sensor and automatic data storage. BMC Cardiovasc Disord. 2009;9:20. doi: 10.1186/1471-2261-9-20. 20. Kikuya M, Chonan K, Imai Y, Goto E, Ishii M; Research Group to Assess the Validity of Automated Blood Pressure Measurement Devices in Japan. Accuracy and reliability of wrist-cuff devices for self-measurement of blood pressure. J Hypertens. 2002;20:629–638. 21. Khoshdel AR, Carney S, Gillies A. The impact of arm position and pulse pressure on the validation of a wrist-cuff blood pressure measurement device in a high risk population. Int J Gen Med. 2010;3:119–125. 22. Mourad A, Gillies A, Carney S. Inaccuracy of wrist-cuff oscillometric blood pressure devices: an arm position artefact? Blood Press Monit. 2005;10:67–71. 23. Sato H, Koshimizu H, Yamashita S, Ogura T. Blood pressure monitor with a position sensor for wrist placement to eliminate hydrostatic pressure effect on blood pressure measurement. Conf Proc IEEE Eng Med Biol Soc. 2013;2013:1835–1838. doi: 10.1109/EMBC.2013.6609880. 24. Guggiari C, Büla C, Iglesias K, Waeber B. Measurement with an automated oscillometric wrist device with position sensor leads to lower values than measurements obtained with an automated oscillometric arm device from the same manufacturer in elderly persons. Blood Press Monit. 2014;19:32–37. doi: 10.1097/MBP.0000000000000013. 25.Tikhonoff V, Casiglia E, Guidotti F, Giordano N, Martini B, Mazza A, Spinella P, Palatini P. Body fat and the cognitive pattern: a population-based study. Obesity (Silver Spring). 2015;23:1502–1510. doi: 10.1002/oby.21114. 26. Rose GA, Blackburn H, Gillum RF, Prineas RJ. Survey questionnaires. In: Rose GA, Blackburn H, Gillum RF, Prineas RJ, eds. Cardiovascular Survey Methods. Geneva, Switzerland: WHO;1982:64–77. 27. Wormser D, Di Angelantonio E, Kaptoge S, et al; The Emerging Risk Factors Collaboration. Adult height and the risk of cause-specific death and vascular morbidity in 1 million people: individual participant metaanalysis. Int J Epidemiol. 2012;41:1419–1433. 28.Haymsfield SB, Smith J. Muscle mass: reliable indicator of protein-energy malnutrition severity and outcome. Am J Clin Nutr. 1982;32:1192–1199. 29.Kobalava ZD, Kotovskaia LV, Rusakova OS, Babaeva LA. Validation of the UA-767 Plus device for self-measurment of blood pressure. Clin Pharmac Ther. 2003;12:2. 30. Saladini F, Benetti E, Fania C, Palatini P. Validation of the A&D BP UB-542 wrist device for home blood pressure measurement according to the European Society of Hypertension International Protocol revision 2010. Blood Press Monit. 2013;18:219–222. doi: 10.1097/MBP.0b013e3283624aa2. 31.Blood Pressure Measurement Devices. Medicines and Healthcare Products Regulatory Agency, 2013, 9 pages. 32. Magni E, Binetti G, Bianchetti A, Rozzini R, Trabucchi M. Mini-Mental State Examination: a normative study in Italian elderly population. Eur J Neurol. 1996;3:198–202. doi: 10.1111/j.1468-1331.1996.tb00423.x. 33.Casiglia E, Giordano N, Tikhonoff V, Boschetti G, Mazza A, Caffi S, Guidotti F, Bisiacchi P. Cognitive Functions across the GNB3 C825T Polymorphism in an Elderly Italian Population. Neurol Res Int. 2013;2013:597034. doi: 10.1155/2013/597034. 34. Thomas SS, Nathan V, Zong C, Soundarapandian K, Shi X, Jafari R. BioWatch: a non-invasive wrist-based blood pressure monitor that Casiglia et al Unreliable Wrist Home BP 903 incorporates training techniques for posture and subject variability. IEEE J Biomed Health Inform. 2015;94:1–10. doi: 10.1109/JBHI.2015.2458779. 35. Gavish B, Gavish L. Blood pressure variation in response to changing arm cuff height cannot be explained solely by the hydrostatic effect. J Hypertens. 2011;29:2099–2104. doi: 10.1097/HJH.0b013e32834ae315. 36.Gavish B, Gavish L. Simple determination of the systolic-diastolic pressure relationship from blood pressure readings taken at different arm heights. Blood Press Monit. 2013;18:144–150. doi: 10.1097/ MBP.0b013e328361c8fd. 37.Deutsch C, Krüger R, Saito K, Yamashita S, Sawanoi Y, Beime B, Bramlage P. Comparison of the Omron RS6 wrist blood pressure monitor with the positioning sensor on or off with a standard mercury sphygmomanometer. Blood Press Monit. 2014;19:306–213. 38.Semplicini A, Amodio P, Leonetti G, Cuspidi C, Umiltà C, Schiff S, Scheltens P, Barkhof F, Emanueli C, Cagnin A, Pizzolato G, Macchini L, Realdi A, Royter V, Bornstein NM, Madeddu P. Diagnostic tools for the study of vascular cognitive dysfunction in hypertension and antihypertensive drug research. Pharmacol Ther. 2006;109:274–283. 39. Fujita H, Matsuoka S, Awazu M. White-coat and reverse white-coat effects correlate with 24-h pulse pressure and systolic blood pressure variability in children and young adults. Pediatr Cardiol. 2016;37:345–352. doi: 10.1007/s00246-015-1283-5. Novelty and Significance What Is New? Summary • Reliability of self-measurement at home with wrist devices was tested Self blood pressure measurement at home with wrist devices is often unreliable, a phenomenon favored by impaired cognitive function that leads to wrong wrist position and detection of falsely elevated blood pressure. Self-use of wrist devices should be discouraged, especially in people in whom cognitive deterioration is likely to be present. for the first time in a general population. Downloaded from http://hyper.ahajournals.org/ by guest on June 14, 2017 What Is Relevant? • At home, most wrist self-measurements overestimated upper-arm mea- surements, probably because of the wrist being kept lower than the heart, thereby adding the pressure due to the blood column to the clinical pressure, a phenomenon magnified by longer forearms. Poor Reliability of Wrist Blood Pressure Self-Measurement at Home: A Population-Based Study Edoardo Casiglia, Valérie Tikhonoff, Federica Albertini and Paolo Palatini Downloaded from http://hyper.ahajournals.org/ by guest on June 14, 2017 Hypertension. 2016;68:896-903; originally published online August 22, 2016; doi: 10.1161/HYPERTENSIONAHA.116.07961 Hypertension is published by the American Heart Association, 7272 Greenville Avenue, Dallas, TX 75231 Copyright © 2016 American Heart Association, Inc. All rights reserved. Print ISSN: 0194-911X. Online ISSN: 1524-4563 The online version of this article, along with updated information and services, is located on the World Wide Web at: http://hyper.ahajournals.org/content/68/4/896 Data Supplement (unedited) at: http://hyper.ahajournals.org/content/suppl/2016/08/22/HYPERTENSIONAHA.116.07961.DC1 Permissions: Requests for permissions to reproduce figures, tables, or portions of articles originally published in Hypertension can be obtained via RightsLink, a service of the Copyright Clearance Center, not the Editorial Office. Once the online version of the published article for which permission is being requested is located, click Request Permissions in the middle column of the Web page under Services. Further information about this process is available in the Permissions and Rights Question and Answer document. Reprints: Information about reprints can be found online at: http://www.lww.com/reprints Subscriptions: Information about subscribing to Hypertension is online at: http://hyper.ahajournals.org//subscriptions/ ONLINE SUPPLEMENT POOR RELIABILITY OF WRIST BLOOD PRESSURE SELF-MEASUREMENT AT HOME. A POPULATION-BASED STUDY Edoardo Casiglia, Valérie Tikhonoff, Federica Albertini, Paolo Palatini Department of Medicine, University of Padua, Italy Running title: Unreliable wrist home BP Supplemental material: 2 paragraphs; 7 tables; 3 figures Corresponding Author Prof. Edoardo Casiglia Department of Medicine University of Padua Via Giustiniani, 2 – Padua – Italy Tel +39-049-8212277 Fax +39-049-8754179 e-mail [email protected] 1 Cognitive pattern assessment The praxic abilities were evaluated through the tests summarized in Table S1 below, giving a final score ranging from 0 to 6. In the test of memory with interference at 10 seconds (scoring 0 to 9) the participants had to recall a consonant trigram after an interval delay during which they had to count backward starting from a 3-digit random number presented by the examiner immediately after the trigram, and, at the end of the interval delay of 10 seconds, to recall the trigram.1,2 The verbal fluency test3 (scoring 0 to 34 in 3 tasks averaged) required to generate appropriate names in a fixed period of time. The digit span4 (scoring 0 to 8) consisted of memorization and repetition of a series of numbers. In the immediate prose memory test (scoring 0 to 28), a prose passage of 30 words was presented on a one-to-one basis, asking for immediate verbatim recalls. The test of abstraction (scoring 0 to 6) required inclusion in the same category of words having common elements. In the clock drawing test the participant was instructed to draw a clock indicating 2:45 h, setting the hands and numbers on the face «so that a child could read them». References 1. Grande LJ, Rudolph JL, Milberg WP, Barber CE, McGlinchey RE. Detecting cognitive impairment in individuals at risk for cardiovascular disease: the «clock-in-the-box» screening test. Int J Geriatr Psychiat. 2011; 26: 969-975. 2. Peterson LR, Gentile A. Proactive interference as a function of time between tests. J Exp Psychol. 1965; 70: 473-478. 3. Lezak MD. Neuropsychological assessment. Oxford University Press, Oxford, 1995. 4. Wechsler D. The measurement of adult intelligence. Williams and Witkins, Baltimore, 1939. 2 Results for ±10 mmHg home measurement error According to the definition based on ±10 mmHg cut-off, 266 subjects (36.9%) turned out to be good measurers (home measurement error within 10 mmHg) and 455 (63.1%) to be bad measurers; among the latter, 382 (84.0% of the bad measurers, 53.0% of the entire cohort) kept wrist lower than heart level, and 73 (16.0% of the bad measurers, 10.1% of the entire cohort) kept wrist higher than heart level. Within the good measurers for the category ±10 mmHg, the correlation between office and home measurement was 0.812 (p<0.0001) for upper-arm systolic BP and was 0.832 (p<0.0001) for wrist systolic BP. Within the corresponding bad measurers with home measurement error under -10 mmHg the correlation between office and home measurement was 0.563 (p<0.0001; z-statistic 6.366, p<0.0001 vs. good measures) for upper arm and 0.434 (p<0.0001; z-statistic 9.373, p<0.0001 vs. good measurers) for wrist systolic BP. 3 Table S1. Test aimed at verifying the praxic abilities, consisting in mimicking some movements or gestures. Instruction score Pantomime of use of objects Please, show which movement you would perform having in your hand ………………… Show ……………………………………………… a hammer 0 or 1 a toothbrush 0 or 1 the sign of the Cross 0 or 1 the gesture to say «he’s crazy» 0 or 1 Copy of gestures without a definite meaning middles finger bended on index finger Please, copy the gestures I am making …………… a forearm extended forwards, open palm outwards; the other forearm bended with the fist on the shoulder 0 or 1 0 or 1 4 Table S2. General characteristics of the cohort at the screening, showing stratification by arterial hypertension. Items Age (years) Body mass index (kg/m2) Biceps skinfold thickness (mm) Forearm length (cm) Upper-arm length (cm) Upper-arm circumference (cm) Office upper-arm SBP (mmHg) Office upper-arm DBP (mmHg) Heart rate (bpm) Serum LDLC (mmol˖l-1) Serum triglycerides (mmol˖l-1) Serum HDLC (mmol/l-1) Cardiac index (l˖min-1˖m-2) Smoking (0: no; 1: yes) Alcohol intake (0: no; 1: yes) Diabetes (0: no; 1: yes) COPD (0: no; 1: yes) MMSE (score) MI 10 (score) Praxic abilities (score) Clock drawing test (score) Abstraction (score) Digit span (score) Immediate prose memory (score) Education (years) Normotensives (n=368) 41.9 ± 14.1 23.9 ± 3.7 9.7 ± 6.0 23.8 ± 2.9 37.7 ± 2.9 27.8 ± 3.0 119.7 ± 11.9 76.9 ± 8.7 65.1 ± 10.3 3.2 ± 0.8 0.9 ± 0.7 1.6 ± 0.5 2.6 ± 1.2 70 (19.0%) 134 (36.4%) 4 (1.1%) 4 (1.1%) 29.3 ± 1.7 6.9 ± 2.2 5.9 ± 0.1 9.5 ± 1.3 5.0 ± 1.3 6.6 ± 1.2 12.8 ± 4.6 11.7 ± 4.0 Hypertensives (n=353) 57.0 ± 12.6 27.6 ± 4.5 11.3 ± 6.9 23.8 ± 3.1 36.1 ± 16.2 30.0 ± 3.2 143.2 ± 17.5 88.4 ± 9.7 66.4 ± 10.8 3.4 ± 0.8 1.4 ± 0.9 1.4 ± 0.4 3.1 ± 1.4 36 (10.2%) 191 (54.1%) 16 (4.5%) 8 (2.3%) 28.3 ± 2.9 6.1 ± 2.5 5.8 ± 0.1 8.6 ± 2.5 4.1 ± 1.9 6.1 ± 1.2 10.1 ± 4.2 9.0 ± 3.6 p value 0.0001 0.0001 0.0001 0.9 0.1 0.0001 0.0001 0.0001 0.1 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.001 0.3 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 SBP indicates systolic blood pressure; DBP, diastolic blood pressure; LDLC, low-density-lipoprotein cholesterol, HDLC, high-density-lipoprotein cholesterol; COPD, chronic obstructive pulmonary disease; MMSE, mini mental state examination test; MI10, memory with interference at 10 seconds test. 5 Table S3. General characteristics of the cohort showing stratification by controlled and uncontrolled hypertension. Items Age (years) Body mass index (kg/m2) Biceps skinfold thickness (mm) Forearm length (cm) Upper-arm length (cm) Upper-arm circumference (cm) Office upper-arm SBP (mmHg) Office upper-arm DBP (mmHg) Heart rate (bpm) Serum LDLC (mmol˖l-1) Serum triglycerides (mmol˖l-1) Serum HDLC (mmol˖l-1) Smoking (0: no; 1: yes) Alcohol intake (0: no; 1: yes) Diabetes (0: no; 1: yes) COPD (0: no; 1: yes) Controlled hypertensives (n=133) 56.6 ± 13.5 27.4 ± 4.4 11.8 ± 7.5 24.0 ± 3.4 37.8 ± 16.5 29.2 ± 3.0 127.5 ± 8.5 81.2 ± 6.0 65.3 ± 10.5 3.3 ± 0.8 1.5 ± 0.8 1.4 ± 0.3 13 (9.8%) 67 (50.4%) 11 (8.3%) 3 (2.3%) Uncontrolled hypertensives (n=220) 57.4 ± 12.1 27.7 ± 4.7 10.9 ± 6.4 23.6 ± 2.9 35.2 ± 16.0 30.8 ± 3.3 152.7 ± 14.4 92.7 ± 8.9 67.1 ± 11.0 3.4 ± 0.8 1.4 ± 0.9 1.5 ± 0.4 23 (10.5%) 124 (56.4%) 5 (2.3%) 5 (2.3%) p value 0.6 0.5 0.2 0.2 0.1 0.0001 0.0001 0.0001 0.1 0.053 0.3 0.0005 0.9 0.3 0.02 1.0 SBP indicates systolic blood pressure; DBP, diastolic blood pressure; LDLC, low-density-lipoprotein cholesterol; HDLC, high-density-lipoprotein cholesterol; COPD, chronic obstructive pulmonary disease. *In sensitivity analysis, selectively in the 508 subjects keeping the wrist lower than the heart level. 6 Table S4. General characteristics of the cohort at the screening, showing stratification by good and bad measurers according to the ±5 mmHg cut-off. Items Age (years) Body mass index (kg/m2) Biceps skinfold thickness (mm) Forearm length (cm) Forearm length (cm) Upper-arm length (cm) Upper-arm circumference (cm) Upper-arm SBP (mmHg) Upper-arm DBP (mmHg) Heart rate (bpm) Serum LDLC (mmol˖l-1) Serum triglycerides (mmol˖l-1) Serum HDLC (mmol˖l-1) Cardiac index (l˖min-1˖m-2) Smoking (0: no; 1: yes) Alcohol intake (0: no; 1: yes) Diabetes (0: no; 1: yes) Hypertension (0: no; 1: yes) COPD (0: no; 1: yes) Good measurers (n=100) 47.6 ± 15.7 26.2 ± 4.8 10.6 ± 6.1 23.5 ± 3.1 23.5 ± 3.1 36.9 ± 16.0 28.8 ± 3.5 126.3 ± 15.9 81.4 ± 9.4 66.1 ± 11.1 3.3 ± 0.9 1.2 ± 0.7 1.5 ± 0.4 2.8 ± 1.2 10 (10.0%) 42 (42.0%) 4 (4.0%) 50 (50.0%) 3 (3.0%) Bad measurers (n=621) 49.6 ± 15.4 25.6 ± 4.5 10.4 ± 6.6 23.8 ± 3.0 24.9 ± 3.3* 36.9 ± 16.0 28.9 ± 3.2 132.0 ± 19.3 82.7 ± 11.0 65.7 ± 10.5 3.3 ± 0.8 1.2 ± 0.8 1.5 ± 0.4 2.8 ± 1.3 96 (15.5%) 283 (45.6%) 16 (2.6%) 303 (48.8%) 9 (1.4%) p value 0.2 0.2 0.8 0.4 0.001 1.0 1.0 0.005 0.3 0.8 0.7 0.5 0.2 1.0 0.2 0.6 0.6 0.9 0.4 SBP indicates systolic blood pressure; DBP, diastolic blood pressure; LDLC, low-density-lipoprotein cholesterol; HDLC, high-density-lipoprotein cholesterol; COPD, chronic obstructive pulmonary disease. *In sensitivity analysis, selectively in the 508 subjects keeping the wrist lower than the heart level. 7 Table S5. Multiple linear regression in men, having systolic and diastolic measurement error in whole cohort as dependent variable, respectively, and age, hypertension, arm circumference, forearm length, systolic BP, educational level, memory with interference at 10 seconds test, immediate prose memory test, praxic abilities, clock drawing test, abstraction test and digit span test as independent variables. Pulse BP was used in alternative to systolic. Independent covariables Coefficient (SE) 95% CI of the coefficient p value Dependent variable: home systolic error Coefficient (SE) 95% CI of the coefficient p value Dependent variable: home diastolic error Praxic abilities (score) MI 10 (score) Forearm length (cm) Forearm length* (cm) Clock drawing test (score) 1.46 (8.10) -4.97 (1.30) 0.17 (4.24) 7.40 (1.22) -2.38 (1.98) Determinants -14.44 to 17.37 -7.53 to -2.42 -8.14 to 8.49 0.09 to 6.18 -6.28 to 1.51 0.9 0.0001 1.0 0.01 0.2 -14.47 (5.45) -2.46 (0.88) -1.70 (2.85) -1.11 (2.16) -2.62 (1.34) Determinants -25.18 to -3.76 -4.18 to -0.074 -7.29 to 3.90 -4.33 to 2.75 -5.25 to -0.01 0.01 0.005 0.6 0.4 0.049 Age (years) Arm circumference (cm) Hypertension (1: yes) Systolic BP (mmHg) Pulse BP (mmHg) Abstraction (score) Digit span (score) IPM (score) Education (years) 0.09 (0.05) 25.94 (5.42) 1.00 (1.32) 16.43 (6.93) 5.86 (2.63) 1.25 (1.47) 2.03 (3.14) 2.53 (1.46) 0.56 (1.90) Confounders 0.01 to 0.19 15.29 to 36.58 -1.58 to 3.58 2.83 to 30.03 0.70 to 11.01 -1.63 to 4.16 -4,13 to 8.20 -0.33 to 5.40 -3.18 to 4.30 0.046 0.0001 0.4 0.02 0.03 0.4 0.5 0.1 0.8 0.04 (0.03) -2.34 (3.65) 2.26 (0.89) 1.38 (4.67) 0.67 (1.76) -1.50 (0.99) -0.57 (2.11) 1.17 (0.98) -0.34 (1.29) Confounders -0.02 to 0.11 -9.50 to 4.83 0.63 to 4.00 -7.78 to 10.54 -2.79 to 4.13 -3.44 to 0.44 -4.72 to 3.58 -0.76 to 4.10 -2.86 to 2.17 0.2 0.5 0.01 0.8 0.7 0.1 0.8 0.2 0.8 BP indicates blood pressure; MI 10, memory with interference at 10 seconds test; IPM, immediate prose memory test. *In sensitivity analysis, selectively in the 221 men keeping the wrist lower than the heart level. 8 Table S6. Multiple linear regression in women, having systolic and diastolic measurement error in whole cohort as dependent variable, respectively, and age, hypertension, arm circumference, forearm length, systolic BP, educational level, memory with interference at 10 seconds test, immediate prose memory test, praxic abilities, clock drawing test, abstraction test and digit span test as independent variables. Pulse BP was used in alternative to systolic BP. Independent covariables Coefficient (SE) 95% CI of the coefficient p value Dependent variable: home systolic error Coefficient (SE) 95% CI of the coefficient p value Dependent variable: home diastolic error Praxic abilities (score) MI 10 (score) Forearm length (cm) Forearm length* (cm) Clock drawing test (score) -11.81 (4.08) -2.40 (1.18) 12.40 (3.78) 14.62 (2.11) -0.54 (1.92) Determinants -19.81 to -3.81 -4.72 to 0.08 4.98 to 19.82 4.80 to 18.76 -4.30 to 3.22 0.004 0.04 0.001 0.0005 0.8 -2.80 0.83 4.79 5.11 -4.75 Determinants -8.10 to 2.50 -0.53 to 2.20 -0.13 to 9.70 -0.03 to 9.50 -7.24 to -2.25 0.3 0.2 0.1 0.1 0.0002 Age (years) Arm circumference (cm) Hypertension (1: yes) Systolic BP (mmHg) Pulse BP (mmHg) Abstraction (score) Digit span (score) IPM (score) Education (years) 0.10 (004) 2.77 (3.79) 2.28 (1.11) 4.65 (5.63) 1.25 (2.93) -1.90 (1.14) -1.03 (2.33) 0.16 (1.05) 1.04 (1.59) Confounders -0.01 to 0.09 -1.51 to 8.32 -1.53 to 1.35 3.04 to 17.67 0.28 to 5.56 -2.37 to 0.61 -0.64 to 5.53 -2.84 to 0.23 -0.57 to 3.56 0.1 0.2 0.9 0.01 0.03 0.2 0.1 0.1 0.2 0.04 (0.3) 3.40 (2.51) -0.09 (0.73) 10.3 (3.73) 2.92 (1.34) -0.88 (0.76) 2.40 (1.55) -1.30 (0.78) 1.49 (1.05) Confounders -0.01 to 0.09 -1.51 to 8.32 -1.53 to 1.35 3.04 to 17.67 0.28 to 5.56 -2.37 to 0.61 -0.64 to 5.53 -2.84 to 0.23 -0.57 to 3.56 0.1 0.2 0.9 0.01 0.03 0.2 0.1 0.1 0.2 BP indicates blood pressure; MI 10, memory with interference at 10 seconds test; IPM, immediate prose memory test. *In sensitivity analysis, selectively in the 287women keeping the wrist lower than the heart level. 9 Table S7. Logistic regression having «bad measurers» as dichotomic dependent variable (0: good measures; 1: bad measurers) and age, hypertension, arm circumference, forearm length, systolic BP, educational level, memory with interference at 10 seconds test, immediate prose memory test, praxic abilities, clock drawing test, abstraction test and digit span test as independent variables. Independent covariables Odds ratio (SE) 95% CI of the odds ratio p value 0.0005 0.007 0.005 0.5 0.1 0.001 0.7 0.03 0.002 0.7 0.6 0.0002 Praxic abilities (score) MI 10 (score) Forearm length (cm) Clock drawing test (score) 0.167 (0.086) 0.921 (0.028) 1.066 (0.024) 0.979 (0.034) Determinants 0.061 to 0.457 0.868 to 0.978 1.020 to 1.114 0.915 to 1.048 Age (years) Arm circumference (cm) Hypertension (1: yes) Systolic BP (mmHg) Abstraction (score) Digit span (score) IPM (score) Education (years) 1.009 (0.006) 1.110 (0.022) 1.064 (0.177) 1.010 (0.005) 0.870 (0.040) 1.020 (0.064) 0.909 (0.150) 0.923 (0.020) Confounders 0.997 to 1.021 1.068 to 1.154 0.769 to 1.473 1.001 to 1.019 0.796 to 0.951 0.901 to 1.154 0.658 to 1.256 0.885 to 0.963 BP indicates blood pressure; MI 10, memory with interference at 10 seconds test; IPM, immediate prose memory test. 10 Figure S1. Upper-arm and wrist blood pressure in the office and at home. Values are adjusted for age (years), sex (0=women, 1=men), highest educational level achieved (years), arterial hypertension (0=no, 1=yes), forearm length (cm), upper-arm circumference (cm), memory with interference at 10 seconds test, immediate prose memory test, praxic abilities, clock drawing test, abstraction test and digit span test. Using systolic and diastolic BP (mmHg) instead of arterial hypertension did not change significantly the model. 11 Figure S2. Upper-arm and wrist blood pressure in the office and at home in hypertensive subjects only. Unadjusted data. 12 Figure S3. Upper-arm and wrist blood pressure in the office and at home in hypertensive subjects only. Values are adjusted for age (years), sex (0=women, 1=men), highest educational level achieved (years), arterial hypertension (0=no, 1=yes), forearm length (cm), upper-arm circumference (cm), memory with interference at 10 seconds test, immediate prose memory test, praxic abilities, clock drawing test, abstraction test and digit span test. Using systolic and diastolic BP (mmHg) instead of arterial hypertension did not change significantly the model. 13
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