Literature DB >> 33447782

Prevalence of hypertension and controlled hypertension among United States adults: Evidence from NHANES 2017-18 survey.

Juwel Rana1,2,3, John Oldroyd4, Md Momin Islam5, Carla E Tarazona-Meza6,7, Rakibul M Islam8.   

Abstract

BACKGROUND: This study aims to compare the prevalence of hypertension (HTN) and controlled hypertension (CHTN) in US adults and determine the absolute difference in the prevalence of HTN and CHTN between the JNC7 and ACC/AHA 2017 guidelines.
METHODS: Data for this study were derived from the most recent cycle of the National Health and Nutrition Examination Survey (NHANES) 2017-2018. After excluding participants with missing systolic blood pressure (BP) or diastolic BP and aged <18 years, 4730 participants were included in the final analyses. BP was defined as the average of the first three measurements. The prevalence of HTN and CHTN, including absolute differences of these prevalences, were estimated using both JNC7 and ACC/AHA 2017 guidelines.
RESULTS: The overall weighted prevalence of HTN was 31.7% (95% CI: 28.7-34.8) based on JNC7, while the corresponding prevalence was 45.6% (95% CI: 43.0-48.3) when new guideline of ACC/AHA was used. Of the people who had HTN according to the JNC7 and ACC/AHA 2017 guidelines, 48.2% (95% CI: 44.4-52.0) and 21.0% (95% CI: 18.1-24.2) had a controlled blood pressure level, respectively. When blood pressure was assessed using both guidelines, the greatest absolute increase in rates of HTN and CHTN was 17.4% and 30.0% in people aged 40-59 years, respectively.
CONCLUSION: Given the high burden of disease due to complications arising from untreated HTN, as well as the higher costs of untreated disease, new guidelines have important public health implications to early detection of patients at risk and prevent complications across different populations.
© 2020 The Authors.

Entities:  

Keywords:  ACC/AHA 2017; Hypertension; Hypertension control; JNC7; USA

Year:  2020        PMID: 33447782      PMCID: PMC7803033          DOI: 10.1016/j.ijchy.2020.100061

Source DB:  PubMed          Journal:  Int J Cardiol Hypertens        ISSN: 2590-0862


Introduction

The American College of Cardiology/American Heart Association (ACC/AHA) have developed evidence-based guidelines for the prevention and first line management of hypertension (HTN) in the US [1]. They were developed by experts and translate the best available evidence into guidelines for clinical practice. Although they are written for a US population, they have global impact. Despite this, HTN remains a significant contributor to the global burden of disease, and it remains an important risk factor for cardiovascular morbidity and mortality [[2], [3], [4]]. HTN has previously been defined by the Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC7) as individuals who have a systolic BP ≥ 140 mmHg or a diastolic BP ≥ 90 mmHg or take any prescribed drugs to control BP [5]. However, the ACC/AHA 2017 guidelines lowered the systolic and diastolic blood pressure thresholds for HTN [1]. According to the ACC/AHA 2017 guidelines, individuals who have a systolic BP ≥ 130 mmHg or a diastolic BP ≥ 80 mmHg or take any prescribed drugs to control BP were categorized as hypertensive. Application of the ACC/AHA 2017 guidelines would reclassify many individuals who had normal blood pressure (or were prehypertensive) using JNC7 criteria, as hypertensive. While this classification of people as hypertensive at lower levels of blood pressure would allow earlier intervention in the natural history of the disease, it also has implications for the evaluation of the outcomes of current prevention and control methods. Previous studies that have investigated the impact of the new ACC/AHA 2017 guidelines have found marked increases in prevalence rates. For example, when blood pressure was assessed using both JNC7 and ACC/AHA 2017 guidelines among reproductive-aged US women, the prevalence of HTN increased by 112% [2]. This has significant implications for blood pressure management in the US. The impact of the new guidelines has also been examined in other populations in the US [6,7]. In these studies, an absolute increase in prevalence varied from 14.7% to 26.8% in the US when ACC/AHA 2017 guidelines were applied [6]. Repeating this analysis using more recent data will provide up to date evidence for planning future health policy interventions for the management of HTN. In this study, we aim to use the most recent cycle of NHANES 2017–2018 data to compare the prevalence of HTN and controlled hypertension (CHTN) in US adults and determine the absolute difference in the prevalence of HTN and CHTN between the JNC7 and ACC/AHA 2017 guidelines.

Material and methods

Design, setting, and participants

Data for this study were derived from the National Health and Nutrition Examination Survey (NHANES) 2017–2018, which was conducted by the National Center for Health Statistics of the US Centers for Disease Control and Prevention. To ensure national representativeness, the study samples are identified through a complex, stratified, multistage probability sampling design. It consists of a four-stage sample: counties, segments, households, and individuals. Survey participants completed in-home interviews and then visited a mobile examination center, where they responded to additional questionnaires and underwent a medical examination and blood sample collection. NHANES maintains high standards to ensure minimal non-sampling and measurement errors during survey planning, data collection, and processing. After excluding participants with missing systolic BP or diastolic BP and aged <18 years, 4730 participants were included in the final analyses. Participants completed standardized questionnaires that assessed demographics; prior diagnosis of HTN and antihypertensive medication use; prior diagnosis of high blood cholesterol; and the use of lipid-lowering drugs; and diabetes mellitus. Body mass index was calculated as weight in kilograms divided by height in meters squared. Diabetes mellitus was self-reported, defined by a positive response to any of the questions, “Have you ever been told by a doctor that you have diabetes?”; “Are you now taking insulin?”; “Are you now taking diabetes pills to lower your blood sugar?” The study was approved by the National Center for Health Statistics Research Ethics Review Board, and all adult participants provided written informed consent [8].

Blood pressure measurement

During the medical examination, BP was measured after resting quietly in a seated position for 5 min and after the participant's maximum inflation level has been determined. Both mean systolic BP and mean diastolic BP were defined as the average of the first three measurements. We did not include the fourth measurement because of the large number of missing values. All BP measurements were taken in the mobile examination center using the right arm unless specific conditions prohibit the use of the right arm. Prior to BP measurements, upper arm circumference is measured, which is done to guide the selection of cuff size.

Definition of hypertension and control

According to the JNC7 guideline, individuals who have a systolic BP ≥ 140 mmHg or a diastolic BP ≥ 90 mmHg or take any prescribed drugs to control BP were categorized as hypertensive. According to the ACC/AHA 2017 guideline, individuals who have a systolic BP ≥ 130 mmHg or a diastolic BP ≥ 80 mmHg or take any prescribed drugs to control BP were categorized as hypertensive. According to the JNC7 guideline, CHTN is defined if individuals have systolic BP < 140 mmHg and diastolic BP < 90 mmHg among those with HTN. According to ACC/AHA 2017 guideline, CHTN is defined if individuals have systolic BP < 130 mmHg and diastolic BP < 80 mmHg among those with HTN.

Statistical analysis

The characteristics of the study participants were presented as frequencies and percentages or mean (±standard deviation; SD). The prevalence of HTN and CHTN were estimated using both JNC7 and ACC/AHA 2017 guidelines. We then estimated the absolute differences for the prevalence of HTN and CHTN between the ACC/AHA 2017 and JNC7 guidelines. All prevalences and absolute differences were reported with 95% confidence intervals (CIs). We conducted weighted analysis to adjust for the clustered sampling design of the survey. Analyses were performed using statistical software Stata version 16.0 [9], and codes are available upon request.

Results

A total of 4730 weighted participants were included in the analysis. The mean (±SD) age of the participants was 49.5 (±18.6) (Table 1). Of the study participants, 51.2% (2425) were female, 62.5% (1638) were white, 62.7% (2669) were married or living together, 42.3% (1953) were obese and 11.5% (771) had diabetes. Overall, the mean (±SD) systolic BP and diastolic BP were 125.4 (±19.3) and 71.6 (±12.5) mmHg, respectively. The mean (±SD) total cholesterol, triglyceride, high-density lipoprotein, and low-density lipoprotein were 187.1 (±41.5), 4.8 (±0.6), 53.2 (±15.6), and 105.3 (±37.0), respectively.
Table 1

Characteristics of US adults in the NHANES 2017–18 (Unweighted Sample and weighted percentage).

Sample CharacteristicsUnweighted NWeighted % or mean (95% CI)
Age (Mean ± SD)4730 (49.5 ± 18.6)47.1 (45.8–48.5)
 18-39161138.5 (35.4–41.6)
 40-59141233.4 (30.3–36.6)
 60+170728.1 (24.6–32.0)
Sex
 Male230548.8 (46.9–50.8)
 Female242551.2 (49.2–53.1)
Race
 White163862.5 (56.9–67.9)
 Black108111.1 (8.0–15.1)
 Hispanic4346.8 (5.3–8.6)
 Other157719.6 (15.5–24.5)
Marital Status
 Married or living together266962.7 (60.0–65.4)
 Separated/divorced/widow101818.2 (16.4–20.2)
 Never married80819.1 (17.1–21.2)
Body Mass Index (kg/m2)(Mean ± SD)4705 (29.6 ± 7.3)29.6 (29.0–30.2)
 <25127227.7 (24.9–30.6)
 25–29.99148030.0 (27.1–33.0)
 >= 30195342.3 (38.3–46.4)
Systolic BP (Mean ± SD)4730 (125.4 ± 19.3)122.4 (121.5–123.3)
Diastolic BP (Mean ± SD)4730 (71.6 ± 12.5)71.7 (70.6–72.9)
Lipid Profiles (Mean ± SD)
 Total cholesterol (mg/dL)4441 (187.1 ± 41.5)188.2 (184.5–192.0)
 Triglyceride (log-transformed in mg/dL)4422 (4.8 ± 0.6)4.8 (4.72–4.82)
 High-density lipoprotein (mg/dL)4441 (53.2 ± 15.6)53.6 (52.6–54.6)
 Low-density lipoprotein (mg/dL)4418 (105.3 ± 37.0)106.3 (103.3–109.2)
Hypertension status-JNC7
 No291268.3 (65.2–71.3)
 Yes181831.7 (28.7–34.8)
Hypertension status-ACC/AHA 2017
 No226354.4 (51.7–57.0)
 Yes246745.6 (43.0–48.3)
Controlled hypertension-JNC7
 No100051.8 (48.0–55.6)
 Yes81848.2 (44.4–52.0)
Controlled hypertension-ACC/AHA 2017
 No198379.0 (75.8–81.9)
 Yes48421.0 (18.1–24.2)
Antihypertensive medication use
 No22218.1 (14.7–22.0)
 Yes132681.9 (78.0–85.3)
Diabetes status
 No395988.5 (87.4–89.5)
 Yes77111.5 (10.5–12.6)

SD = standard deviation; CI = confidence interval.

Characteristics of US adults in the NHANES 2017–18 (Unweighted Sample and weighted percentage). SD = standard deviation; CI = confidence interval.

Hypertension prevalence

The overall weighted prevalence of HTN among US adults was 31.7% (95% CI: 28.7–34.8) based on JNC7, while the corresponding prevalence was 45.6% (95% CI: 43.0–48.3) when new guideline of ACC/AHA was used. Of the people who had HTN according to the JNC7 and ACC/AHA 2017 guidelines, 48.2% (95%CI: 44.4–52.0) and 21.0% (95%CI: 18.1–24.2) had a controlled blood pressure level, respectively. Table 2 summarized the prevalence of HTN and the absolute difference by age, sex, ethnicity, BMI, and diabetes status, comparing the previous guideline with the new guideline. According to ACC/AHA 2017 guideline, the prevalence was the highest among individuals aged 60 years and above (73.2%, 95% CI: 71.1–75.3), followed by 40–59 years (51.2%, 95% CI: 48.6–53.8), and 18–39 years (20.6%, 95% CI: 18.7–22.7). The corresponding prevalence based on JNC7 were 63.0% (95% CI: 61.0–65.0) for 60 years and above age group, 33.8% (95% CI: 31.3–36.3) for 40–59 age group and 7.0% (95% CI: 5.8–8.4) for 18–39 years age group. The highest absolute difference between the two guidelines was 17.4% (95% CI: 16.7–17.5) in the middle age group. According to the 2017 ACC/AHA classification, more than half of the male respondents had HTN (51.1%, 95% CI: 49.0–53.2), compared with 40.4% (95% CI: 38.4–42.4) of the female respondents. The prevalence of HTN, according to JNC7, was 33.1% (95% CI: 31.2–35.1) among males and 30.3% (95% CI: 28.5–32.2) among females. Male (18.0%, 95% CI: 17.8–18.1) had a higher absolute increase in prevalence than their female counterparts (10.1%, 95% CI: 9.9–10.2). The highest prevalence of HTN was estimated in black people according to both JNC7 (40.1%, 95% CI: 37.1–43.1) and ACC/AHA 2017 (54.7%, 95% CI: 51.6–57.7) guidelines, with an absolute difference of 14.6% (95% CI: 14.5–14.6) between guidelines. A similar highest prevalence of HTN was observed among people with a BMI of ≥30 according to both JNC7 (40.4%, 95% CI: 38.2–42.6) and ACC/AHA 2017 (57.7%, 95% CI: 54.4–61.0) guidelines, with an absolute difference of (16.3%, 95% CI: 16.2–18.4) between guidelines. The prevalence of HTN in people with diabetes was 80.4% (95% CI: 77.4−83.4) based on ACC/AHA 2017 while it was 67.6% (95% CI: 65.1–69.9) according to JNC7 guideline with an absolute difference of 12.8% (95% CI: 12.3–13.5).
Table 2

Prevalence of hypertension among US adults in the NHANES 2017-18.

CharacteristicsHypertension by JNC7% (95% CI)Hypertension by ACC/AHA 2017% (95% CI)Absolute Difference % (95% CI)
Overall31.7 (28.7–34.8)45.6 (43.0–48.3)13.9 (13.5–14.3)
Age (years)
 18-397.0 (5.8–8.4)20.6 (18.7–22.7)13.6 (12.9–14.3)
 40-5933.8 (31.3–36.3)51.2 (48.6–53.8)17.4 (16.7–17.5)
 60 and above63.0 (61.0–65.0)73.2 (71.1–75.3)10.2 (10.1–10.3)
Gender
 Male33.1 (31.2–35.1)51.1 (49.0–53.2)18.0 (17.8–18.1)
 Female30.3 (28.5–32.2)40.4 (38.4–42.4)10.1 (9.9–10.2)
Race
 White32.7 (30.4–35.1)46.0 (43.5–48.4)13.3 (13.1–13.3)
 Black40.1 (37.1–43.1)54.7 (51.6–57.7)14.6 (14.5–14.6)
 Hispanic27.7 (23.5–32.1)38.5 (33.9–43.2)10.8 (10.4–11.1)
 Other25.2 (23.1–27.4)41.7 (39.3–44.2)16.5 (16.2–16.8)
BMI (kg/m2)
 <2517.4 (15.3–19.6)29.1 (26.6–31.7)11.7 (11.3–12.1)
 25–29.9933.0 (30.6–35.4)44.4 (41.8–47.0)11.4 (11.2–11.6)
 >= 3040.4 (38.2–42.6)57.7 (54.4–61.0)16.3 (16.2–18.4)
Diabetic status
 No27.0 (25.6–28.4)41.1 (39.6–42.7)14.1 (14.0–14.3)
 Yes67.6 (65.1–69.9)80.4 (77.4–83.4)12.8 (12.3–13.5)
Prevalence of hypertension among US adults in the NHANES 2017-18.

Hypertension control

Table 3 summarized the prevalence of CHTN and the absolute difference by age, sex, ethnicity, BMI, and diabetes status comparing the two guidelines. According to ACC/AHA 2017 guideline, the prevalence of CHTN was the highest among individuals aged 60 years and above (30.4%, 95% CI: 28.2–32.7), followed by 40–59 years (17.0%, 95% CI: 15.1–19.1), and 18–39 years (5.2%, 95% CI: 4.2–6.4). The corresponding prevalence based on JNC7 were 51.7% (95% CI: 49.3–54.1) for 60 years and above age group, 47.0% (95% CI: 44.4–49.7) for 40–59 age group and 30.0% (95% CI: 27.7–32.3) for 18–39 years age group. The highest absolute difference between the two guidelines was 30.0% (95% CI: 29.3–30.6) in the middle age group. According to the ACC/AHA 2017 classification 18.5% (95% CI: 16.9–20.1) male respondents had CHTN compared with 24.0% (95% CI: 22.3–25.7) of the female respondents. The prevalence of CHTN, according to JNC7, was 47.6% (95% CI: 45.5–49.6) among males and 48.8% (95% CI: 46.8–50.8) among females. Male (29.1%, 95% CI: 28.6–29.5) had a higher absolute increase in controlled prevalence than their female counterparts (24.8%, 95% CI: 24.5–25.1). The highest prevalence of CHTN was estimated in the white people according to both JNC7 (50.6%, 95% CI: 48.2–53.1) and ACC/AHA 2017 (22.8%, 95% CI: 20.8–24.9) guidelines, with an absolute difference of 27.8% (95% CI: 27.4–28.2) between guidelines. The highest rate of CHTN was observed among people with a BMI of ≥30 according to both JNC7 (53.2%, 95% CI: 50.1–55.4) and ACC/AHA 2017 (23.3%, 95% CI: 21.4–25.2) guidelines, with an absolute difference of 29.9% (95% CI: 28.7–30.2) between guidelines. The prevalence of CHTN in people with diabetes was 60.8% (95% CI: 57.3–64.4) according to JNC7 guideline while was 32.9% (95% CI: 29.5–36.4) based on ACC/AHA 2017 guideline, with an absolute difference of 27.9% (95% CI: 27.8–28.0) between two guidelines.
Table 3

Control of hypertension among US adults in the NHANES 2017-18.

CharacteristicsHypertension control by JNC 7% (95% CI)Hypertension control by ACC/AHA 2017% (95% CI)Absolute Difference % (95% CI)
Overall48.2 (44.4–52.0)21.0 (18.1–24.2)27.2 (26.3–27.8)
Age
 18-3930.0 (27.7–32.3)5.2 (4.2–6.4)24.8 (23.5–25.9)
 40-5947.0 (44.4–49.7)17.0 (15.1–19.1)30.0 (29.3–30.6)
 60 and above51.7 (49.3–54.1)30.4 (28.2–32.7)21.3 (21.1–21.4)
Gender
 Male47.6 (45.5–49.6)18.5 (16.9–20.1)29.1 (28.6–29.5)
 Female48.8 (46.8–50.8)24.0 (22.3–25.7)24.8 (24.5–25.1)
Race
 White50.6 (48.2–53.1)22.8 (20.8–24.9)27.8 (27.4–28.2)
 Black41.5 (38.6–44.5)17.5 (15.3–20.0)24.0 (23.3–24.5)
 Hispanic40.7 (36.1–45.6)14.5 (11.3–18.2)26.2 (24.8–27.4)
 Other race47.3 (44.8–49.8)19.3 (17.4–21.3)28.0 (27.4–28.5)
BMI
 <2533.7 (31.1–36.4)12.4 (10.7–14.4)21.3 (20.4–22.0)
 25–29.9946.6 (44.1–49.2)22.1 (20.0–24.3)24.5 (24.1–24.9)
 >= 3053.2 (50.1–55.4)23.3 (21.4–25.2)29.9 (28.7–30.2)
Diabetic status
 No44.1 (42.6–45.7)18.0 (16.8–19.2)26.1 (25.8–26.5)
 Yes60.8 (57.3–64.4)32.9 (29.5–36.4)27.9 (27.8–28.0)
Control of hypertension among US adults in the NHANES 2017-18.

Discussion

To our knowledge, this is one of the first studies comparing the prevalence of HTN and CHTN using JNC7 and ACC/AHA 2017 guidelines applied to NHANES 2017–2018 data. We have found that a third (31.7%) of the US population have HTN based on the older JNC7 guidelines. When the stricter 2017 ACC/AHA cut-offs were applied, this increases to almost half of the population (45.6%). Of the people who had HTN according to the JNC7, almost half (48.2%) had CHTN after commencing antihypertensive medication. Among those with HTN, according to ACC/AHA 2017 guidelines, only a fifth (21.0%) had CHTN levels after starting treatment. When blood pressure was assessed using both guidelines, the greatest absolute increase in rates of HTN and CHTN between JNC7 and ACC/AHA 2017 guidelines was 17.4% and 30.0% in 40–59 years old, respectively. These analyses demonstrate a higher prevalence of HTN and a lower level of CHTN when ACC/AHA 2017 guidelines are used. These findings have policy and funding implications for the management of HTN in the US. Using NHANES 2017–2018 data, we have found a high rate of HTN in the US population, irrespective of which guideline is used. Either a third (31.7%) or almost half (45.6%) of the US population have HTN based on the JNC7 or ACC/AHA 2017 guidelines, respectively. This is comparable to a US study which applied ACC/AHA 2017 guidelines to NHANES 2015–2016 data and found a prevalence of HTN of 45.4% [10]. Our results also confirm that there have been modest increases in HTN prevalence in the last decade overall and across categories of BMI and sex. For example, Guo et al., 2012, reported an overall age-adjusted prevalence of 29.5%, using the JNC7 cut-offs applied to NHANES 2009–2010 data [11]. We have found a comparable prevalence of 31.7% applying JNC7 to NHANES 2017–2018 data. Similarly, the prevalence of HTN was 30.5% in men and 28.5% in women (JNC7, NHANES 2009–2010) compared with our data: HTN prevalence 33.1% in men and 30.3% in women (JNC7, NHANES 2017 2018). The prevalence of HTN in those with BMI≥30 kg/m2 was 40.5% using JNC7 and NHANES 2007–2010 data [12] and 40.4% in our analysis (JNC7, NHANES 2017–2018). However, the increases over the decade were more substantial for diabetes. For example, Gillespie and Hurvitz found a prevalence of HTN in those with diabetes of 59.4% (JNC7 NHANES 2007–2010) [12]. We have found that a decade later, the prevalence of HTN in those with diabetes to be 67.6% (JNC7, NHANES 2017–2018). Why the prevalence of HTN has increased substantially in those with diabetes is not immediately clear. This may be because of interactive effects in which diabetes and HTN exacerbate each other [13]. It may reflect secular increases in risk factors for both HTN and diabetes, such as the aging population [[14], [15], [16], [17]]. It is known that the presence of HTN in those with diabetes increases the risk of coronary heart disease, stroke, nephropathy, and retinopathy considerably [18]. These findings underscore the need for early intervention to reduce the prevalence of HTN, particularly in those with comorbid diabetes who are already at increased risk of coronary heart disease morbidity and mortality [4]. Our analysis has found discrepancies between HTN prevalence rates when the two guidelines are used. The greatest discrepancy between the two guidelines was in the 40–59 years old age group. When JNC7 cut-offs were applied, a prevalence of HTN of 33.8% was found, whereas when ACC/AHA guidelines were used, the corresponding prevalence of HTN rose to 51.2% (absolute increase:17.4%). This is higher than the discrepancy found in the reproductive-aged US women, where the absolute increase in rates of HTN between JNC7 and ACC/AHA 2017 was 8.7% [2]. The implication of our finding is that if the JNC7 guidelines were used, 17.4 people out of 100 aged 40–49 years would be classified as prehypertensive and, therefore, not receive treatment. Given the high burden of disease due to complications arising from untreated HTN, as well as the higher costs of untreated disease, these have very important public health implications. These discrepancies between guidelines were even greater when the proportion of the population with CHTN was compared. According to ACC/AHA 2017 guideline, the prevalence of CHTN in 40–59 years old was 17.0%. The corresponding prevalence based on JNC7 was 47.0% (absolute difference between the two guidelines was 30.0%). Similar large discrepancies in rates of CHTN between guidelines was found for those with obesity (absolute difference: 29.9%), in males (29.1%), and those with diabetes (27.9%). In addition, the prevalence of CTHN in those with HTN was higher a decade ago than currently (CTHN of 59.9%) in men and 69.4% in women (JNC7, NHANES 2009–2010) compared with CHTN 47.6% in men and 48.8% in women (JCN7, NHANES 2017–2018) [11]. Taken together, these data indicate that 1) the use of ACC/AHA 2017 guidelines will result in far fewer patients having CHTN and that 2) hypertension control is declining over time. This highlights the need to redouble efforts for HTN screening, detection, and treatment in order to improve HTN control. Our analysis confirms a very high prevalence of HTN among those with comorbidities, irrespective of the measure used. For example, the prevalence of HTN in people with diabetes was 80.4% based on ACC/AHA 2017 and 67.6% using JNC7 guidelines. This is comparable to other US studies in which prevalence rates of ~70% in those with diabetes were found using JNC7 guidelines [2,3,19]. This cohort of patients are likely to benefit substantially from early drug treatment. For example, a systematic review and meta-analysis of blood pressure lowering in patients with type 2 diabetes found that BP lowering was associated with improved mortality and other clinical outcomes [20]. The greatest benefit was found in those with higher blood pressure at baseline. Our results are consistent with studies conducted in both high-income and low-middle-income countries that have applied the two guidelines. For example, a Canadian study examined the prevalence of HTN using the ACC/AHA 2017 guidelines and found that adoption of the ACC/AHA 2017 HTN guidelines would result in a near doubling in the prevalence of HTN in Canada [21]. Studies in the US, as well as in developing countries like Bangladesh and Nepal, found the ACC/AHA 2017 HTN guideline detected more people as hypertensive when compared with the JNC7 guideline [2,22,23]. This indicates that the use of the ACC/AHA 2017 guidelines will have similar effects, that of increasing the prevalence of HTN globally.

Strengths and limitations

The strengths of the study are that it used a large, nationally representative dataset indicating the findings have external validity. High-quality sampling also minimized sampling bias. Clinical variables were measured in mobile clinics by trained staff (e.g., blood pressure, weight, and height). Blood pressure measurements were made carefully using best practice techniques, including measurement of arm circumference to determine cuff size and the determination of maximum inflation level. The BP used in analyses was an average of three measures. A weighted analysis to adjust for the clustered sampling design of the NHANES survey was used to estimate the prevalence of HTN, which increased the precision of the findings. A limitation was that diabetes mellitus was self-reported. Also, we developed a secondary analysis from a publicly available survey, which limited the control of the variables, and stratifying for socioeconomic status was not undertaken in this analysis.

Public health relevance and implications

HTN has a high burden of disease globally but is entirely preventable. Its surveillance and control must be a priority for health systems around the world. Furthermore, new guidelines are important to continue with the screening and early detection of at-risk patients, such as those defined like pre-hypertension, to prevent complications across different populations. The application of stricter guidelines will result in a higher prevalence of those requiring treatment but may result in long term cost savings by reducing complications arising from untreated HTN. When guidelines with stricter cut-offs have been modelled previously, there have been declines in the number of annual cardiovascular events and deaths while saving costs [24]. Guidelines with greater relevance to other groups, such as ethnic minorities, are also needed.

Conclusions

This analysis of contemporary, nationally representative NHANES data has shown that adoption of the ACC/AHA 2017 guidelines will result in an increase in the prevalence of HTN from a third to one half, compared with the JNC7 guidelines. Discrepancies exist between guidelines in the proportion of HTN and those with CHTN after starting antihypertensive treatment. The greatest discrepancies were in the middle-aged population (40–59 years old). Greater clarity is needed about which guidelines should be used to guide health policy in countries around the world.

Credit author statement

Juwel Rana: Conceptualization, Methodology, Software, Data Curation, Formal Analysis, Writing-original draft. John Oldroyd: Writing-Original draft, Writing-Reviewing, and Editing. Md. Momin Islam: Writing-Original draft. Carla E Tarazona-Meza: Writing- Reviewing. Rakibul M. Islam: Conceptualization, Methodology, Reviewing, and Editing, Supervision.

Funding

Nothing to disclose

Declaration of competing interest

None.
  18 in total

1.  US trends in prevalence, awareness, treatment, and control of hypertension, 1988-2008.

Authors:  Brent M Egan; Yumin Zhao; R Neal Axon
Journal:  JAMA       Date:  2010-05-26       Impact factor: 56.272

2.  Global Burden of Hypertension and Systolic Blood Pressure of at Least 110 to 115 mm Hg, 1990-2015.

Authors:  Mohammad H Forouzanfar; Patrick Liu; Gregory A Roth; Marie Ng; Stan Biryukov; Laurie Marczak; Lily Alexander; Kara Estep; Kalkidan Hassen Abate; Tomi F Akinyemiju; Raghib Ali; Nelson Alvis-Guzman; Peter Azzopardi; Amitava Banerjee; Till Bärnighausen; Arindam Basu; Tolesa Bekele; Derrick A Bennett; Sibhatu Biadgilign; Ferrán Catalá-López; Valery L Feigin; Joao C Fernandes; Florian Fischer; Alemseged Aregay Gebru; Philimon Gona; Rajeev Gupta; Graeme J Hankey; Jost B Jonas; Suzanne E Judd; Young-Ho Khang; Ardeshir Khosravi; Yun Jin Kim; Ruth W Kimokoti; Yoshihiro Kokubo; Dhaval Kolte; Alan Lopez; Paulo A Lotufo; Reza Malekzadeh; Yohannes Adama Melaku; George A Mensah; Awoke Misganaw; Ali H Mokdad; Andrew E Moran; Haseeb Nawaz; Bruce Neal; Frida Namnyak Ngalesoni; Takayoshi Ohkubo; Farshad Pourmalek; Anwar Rafay; Rajesh Kumar Rai; David Rojas-Rueda; Uchechukwu K Sampson; Itamar S Santos; Monika Sawhney; Aletta E Schutte; Sadaf G Sepanlou; Girma Temam Shifa; Ivy Shiue; Bemnet Amare Tedla; Amanda G Thrift; Marcello Tonelli; Thomas Truelsen; Nikolaos Tsilimparis; Kingsley Nnanna Ukwaja; Olalekan A Uthman; Tommi Vasankari; Narayanaswamy Venketasubramanian; Vasiliy Victorovich Vlassov; Theo Vos; Ronny Westerman; Lijing L Yan; Yuichiro Yano; Naohiro Yonemoto; Maysaa El Sayed Zaki; Christopher J L Murray
Journal:  JAMA       Date:  2017-01-10       Impact factor: 56.272

3.  Potential U.S. Population Impact of the 2017 ACC/AHA High Blood Pressure Guideline.

Authors:  Paul Muntner; Robert M Carey; Samuel Gidding; Daniel W Jones; Sandra J Taler; Jackson T Wright; Paul K Whelton
Journal:  J Am Coll Cardiol       Date:  2017-11-13       Impact factor: 24.094

4.  Cost-effectiveness of hypertension therapy according to 2014 guidelines.

Authors:  Andrew E Moran; Michelle C Odden; Anusorn Thanataveerat; Keane Y Tzong; Petra W Rasmussen; David Guzman; Lawrence Williams; Kirsten Bibbins-Domingo; Pamela G Coxson; Lee Goldman
Journal:  N Engl J Med       Date:  2015-01-29       Impact factor: 91.245

Review 5.  High blood pressure: the leading global burden of disease risk factor and the need for worldwide prevention programs.

Authors:  Samantha Bromfield; Paul Muntner
Journal:  Curr Hypertens Rep       Date:  2013-06       Impact factor: 5.369

6.  Prevalence of hypertension and controlled hypertension - United States, 2007-2010.

Authors:  Cathleen D Gillespie; Kimberly A Hurvitz
Journal:  MMWR Suppl       Date:  2013-11-22

Review 7.  Blood pressure lowering in type 2 diabetes: a systematic review and meta-analysis.

Authors:  Connor A Emdin; Kazem Rahimi; Bruce Neal; Thomas Callender; Vlado Perkovic; Anushka Patel
Journal:  JAMA       Date:  2015-02-10       Impact factor: 56.272

8.  Prevalence of Hypertension, Treatment, and Blood Pressure Targets in Canada Associated With the 2017 American College of Cardiology and American Heart Association Blood Pressure Guidelines.

Authors:  Stephanie Garies; Sylvia Hao; Kerry McBrien; Tyler Williamson; Mingkai Peng; Nadia A Khan; Raj S Padwal; Hude Quan; Alexander A Leung
Journal:  JAMA Netw Open       Date:  2019-03-01

9.  Agreement between 2017 ACC/AHA Hypertension Clinical Practice Guidelines and Seventh Report of the Joint National Committee Guidelines to Estimate Prevalence of Postmenopausal Hypertension in a Rural Area of Bangladesh: A Cross Sectional Study.

Authors:  Lingkan Barua; Mithila Faruque; Palash Chandra Banik; Liaquat Ali
Journal:  Medicina (Kaunas)       Date:  2019-06-26       Impact factor: 2.430

10.  Estimated Change in Prevalence of Hypertension in Nepal Following Application of the 2017 ACC/AHA Guideline.

Authors:  Gulam Muhammed Al Kibria; Krystal Swasey; Angela Kc; Mohammadhassan Mirbolouk; Muhammad Nazmus Sakib; Atia Sharmeen; Mahmuda Jahan Chadni; Kristen A Stafford
Journal:  JAMA Netw Open       Date:  2018-07-06
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  7 in total

1.  Is hypertension associated with arthritis? The United States national health and nutrition examination survey 1999-2018.

Authors:  Xiaopeng Liang; Oscar Hou In Chou; Ching Lung Cheung; Bernard M Y Cheung
Journal:  Ann Med       Date:  2022-12       Impact factor: 5.348

2.  Association Between Blood Lead Level With High Blood Pressure in US (NHANES 1999-2018).

Authors:  Ziyao Huang
Journal:  Front Public Health       Date:  2022-04-25

3.  Association of Differences in Treatment Intensification, Missed Visits, and Scheduled Follow-up Interval With Racial or Ethnic Disparities in Blood Pressure Control.

Authors:  Valy Fontil; Lucia Pacca; Brandon K Bellows; Elaine Khoong; Charles E McCulloch; Mark Pletcher; Kirsten Bibbins-Domingo
Journal:  JAMA Cardiol       Date:  2022-02-01       Impact factor: 30.154

4.  Prevalence and associated risk factors of hypertension and pre-hypertension among the adult population: findings from the Dubai Household Survey, 2019.

Authors:  Heba Mamdouh; Wafa K Alnakhi; Hamid Y Hussain; Gamal M Ibrahim; Amal Hussein; Ibrahim Mahmoud; Fatheya Alawadi; Mohamed Hassanein; Mona Abdullatif; Kadhim AlAbady; Sabya Farooq; Nabil Sulaiman
Journal:  BMC Cardiovasc Disord       Date:  2022-01-28       Impact factor: 2.298

5.  Prevalence and Associations of Hypertension in Sri Lankan Adults: Estimates from the SLHAS 2018-19 Survey Using JNC7 and ACC/AHA 2017 Guidelines.

Authors:  Ravindra P Rannan-Eliya; Nilmini Wijemunige; Prasadini Perera; Yasodhara Kapuge; Nishani Gunawardana; Chathurani Sigera; H M M Herath; Bilesha Perera; Anuji Gamage; Nethmi Weerawardena; Ishwari Sivagnanam
Journal:  Glob Heart       Date:  2022-08-01

6.  Medical Care Needs of Laundromat Users in San Antonio, Texas: A Potentially Unique Setting for Health Interventions.

Authors:  Jack Tsai; Victoria Solis; Vanessa Schick
Journal:  J Community Health       Date:  2022-08-25

7.  Patient-Reported Barriers to Adherence Among ACEI/ARB Users from a Motivational Interviewing Telephonic Intervention.

Authors:  Zahra Majd; Anjana Mohan; Michael L Johnson; Ekere J Essien; Jamie C Barner; Omar Serna; Esteban Gallardo; Marc L Fleming; Nancy Ordonez; Marcia M Holstad; Susan M Abughosh
Journal:  Patient Prefer Adherence       Date:  2022-10-04       Impact factor: 2.314

  7 in total

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