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Blood Press Monit. 2024 Aug; 29(4): 173–179.
Published online 2024 Mar 11. doi: 10.1097/MBP.0000000000000698
PMCID: PMC11198946
PMID: 38465651

Risk of heart disease and stroke among individuals with prehypertension or blood pressure progression: a national population-based cohort study

Associated Data

Supplementary Materials

Abstract

Objective

The purpose of our study was to analyze the association of blood pressure and blood pressure progression with heart disease and stroke among Chinese population.

Method

We included a total of 10 122 adults aged 45 years and above free of heart disease or stroke at baseline from the China Health and Retirement Longitudinal Study cohort. We used Cox proportional hazards models to analyze the relationship between cardiovascular risk and prehypertension in subjects with or without progression to hypertension.

Result

During a mean follow-up of 6.5 years, 1972 subjects were either diagnosed with heart disease or had a stroke (composite outcome). Compared with individuals with normotension at baseline, the fully adjusted hazard ratio (HR) [95% confidence interval (CI)] was 1.25 (1.10–1.42) and 1.52 (1.34–1.74) for composite outcome in individuals with prehypertension and hypertension at baseline, respectively. The subjects who progressed to hypertension had higher risk of cardiovascular outcomes than those who remained at normal blood pressure or prehypertension in a fully adjusted model. The subjects who progressed from prehypertension to hypertension had 1.72 times higher risk [HR (95% CI): 1.72 (1.37–2.16)] of cardiovascular outcomes than those who remained at normal blood pressure or prehypertension in a fully adjusted model.

Conclusion

The cardiovascular risk of subjects with prehypertension is higher than that of subjects with normal blood pressure. After a diagnosis of hypertension, subjects who progressed from normal blood pressure to hypertension had an increased risk of heart disease and stroke.

Keywords: blood pressure, cardiovascular disease, epidemiology, heart disease, stroke

Introduction

Cardiovascular disease (CVD) is a spectrum of disorders that affect the heart and blood vessels and caused 3.72 million deaths in 2013 [13]. High blood pressure is closely related to the risk of CVD, and there is a linear, and continuous association between blood pressure and cardiovascular risk [47]. The Prospective Studies Collaboration [4] indicated that the death risk of CVD increased steadily with increasing SBP and DBP at baseline(above a usual SBP of 115 mmHg and DBP of 75 mmHg).

The seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC 7) [8] defined prehypertension as subjects with SBP from 120 to 139 mmHg or DBP from 80 to 89 mmHg. Prehypertension has been considered to be associated with the risk of CVD [9].

In one study [10] including 5181 persons from the Framingham cohort found that prehypertension was closely related to the risk of myocardial infarction (MI) [relative risk (RR) (95% CI): 3.5 (1.6–7.5)]. A previous study [11] including 60 785 women also confirmed the positive relationship between prehypertension and cardiovascular outcomes, with adjusted hazard ratios of 1.76 (95% CI: 1.40–2.22) for MI and 1.93 (95% CI: 1.49–2.50) for stroke compared with normotensive women. However, rare studies have investigated blood pressure progression with the risk of cardiovascular events in the general Chinese population. The purpose of our study was to explore the relationship of CVD risk with prehypertension in subjects with or without progression to hypertension in a national population-based cohort study.

Method

Study design

The China Health and Retirement Longitudinal Study (CHARLS) is an ongoing nationwide study that started in 2011 and was subsequently conducted in 2013, 2015, and 2018. A representative sample of Chinese citizens aged 45 years or older was selected from 28 provinces in China using a probability proportional sampling design. Detailed information on demographic information, disease history, physical examination and laboratory tests was collected in each wave. The survey protocol and process for obtaining informed consent were approved by the Biomedical Ethics Review Committee of Peking University. Information about study design and sampling methods has been published elsewhere [12,13].

Study population

For this study, data were obtained from the 2011–2018 CHARLS cycles. We included participants aged 45 years and above who participated in at least two surveys with relevant information on exposures and outcomes of interest (n = 14 623). After excluding participants who had a history of heart disease or stroke(n = 1963), and those without complete blood pressure measure data at baseline(n = 2538). Finally, 4736 men and 5386 women were left in the study.

Exposure, covariates, and outcomes

For the measurement of blood pressure, three measurements were obtained after a rest in a seat, and the mean blood pressure values were used. Individuals were classified into three pre-defined blood pressure categories based on JNC 7 [8]: below 120 mmHg for SBP and 80 mmHg for DBP (subsequently called Normotension); 120–139 mmHg for SBP or 80–89 mmHg for DBP (subsequently called prehypertension); and established hypertension. Established hypertension was defined as the manifestation of any one or more of the following three indexes: (1) history of hypertension; (2) history of taking antihypertensive treatment; (3) SBP at least 140 mmHg or DBP at least 90 mmHg. Dyslipidemia was defined as total cholesterol ≥5.2 mmol/L, high-density lipoprotein cholesterol (HDL-C) < 1.04 mmol/L, or low-density lipoprotein cholesterol ≥3.37 mmol/L. Drinking status and smoking status were classified into two categories as follows: current or not. Diabetes was identified by a doctor’s diagnosis for diabetes.

In CHARLS, at each wave, individuals were asked ‘Have you been diagnosed with heart disease(angina, coronary heart disease, or congestive heart failure) or stroke by a doctor?’. Composite outcome was defined as the earliest date of either stroke or heart disease. If heart disease or stroke occurred and date was not recorded, the date of event was calculated as the midpoint between last two surveys.

Statistical analysis

Continuous variables were presented as mean ± SD and categorical variables were presented as number (percentage). Statistical analyses were performed between groups using analysis of variance for continuous variables and chi-squared tests for categorical variables. All statistical analyses were carried out using R software version 3.6.1 (http://www.R-project.org). Cox regression was performed using survival package, and subgroup analysis was performed using forestplot package. Two-sided P-values <0.05 were considered statistically significant.

Blood pressure category with heart disease or stroke

Cox proportional hazards models were used to explore the relation between blood pressure category and composite outcome. Individuals were categorized into three groups including normotension, prehypertension, and hypertension, and we chose the normotension category as the reference group. In model 1, no adjustments for potential confounders. In model 2, we adjusted for potential confounders age and sex. In model 3, we adjusted for all of the potential confounders age, sex (male or female), education level (primary school and below, middle school degree, or college degree and above), BMI (kg/m2), dyslipidemia, diabetes, taking antihypertensive drugs, current drinker, current smoker (no or yes), and site (rural or urban). Integer scores across categories were used to test for trend.

Moreover, stratified analyses were performed to explore whether the association of blood pressure category with composite outcome varied across age, sex, dyslipidemia, BMI, smoking status, drinking status, diabetes, and site.

Blood pressure progression with composite outcome

To evaluate the effect of blood pressure progression on cardiovascular outcomes, we categorized individuals into the following categories: individuals without high blood pressure at baseline and did not develop high blood pressure within the first 48 months of follow-up (no progression); individuals without high blood pressure at baseline who developed high blood pressure during the first 48 months of follow-up(Progression to hypertension with baseline normotension or with baseline prehypertension); and individuals with hypertension at baseline. We used Cox proportional hazards models to compare the crude and adjusted hazard ratio (95% confidence interval) [HR (95% CI)] for incident cardiovascular outcomes among these categories. For these analyses, individuals who developed cardiovascular outcomes or died during the observation period were excluded.

Results

Table Table11 shows the baseline characteristics of the 10 122 individuals. A total of 1972 participants developed composite outcome within a mean observation period of 6.5 years, including 1505 heart disease, 631 stroke, and 164 heart disease and stroke multimorbidity. At baseline, 3557 (35.14%) of the study participants had normotension, 2857 (28.23%) had prehypertension, and 3708 (36.63%) had hypertension. At baseline, age, BMI and the prevalence rate of diabetes and dyslipidemia increased with blood pressure category.

Table 1

Baseline characteristics according to blood pressure category

CharacteristicsBaseline blood pressure category
Normotension (3557)Prehypertension (2857)Hypertension (3708)P-value
Age (year)55.16 ± 8.50a57.24 ± 9.11b60.50 ± 9.75c< 0.001
Sex
 Male1548 (43.52%)a1491 (52.19%)b1697 (45.77%)c< 0.001
 Female2009 (56.48%)1366 (47.81%)2011 (54.23%)
Education level
 Primary school and below3202 (90.02%)a2552 (89.32%)b3394 (91.53%)c0.031
 Middle school degree321 (9.02%)273 (9.56%)277 (7.47%)
 College degree and above34 (0.96%)32 (1.12%)37 (1%)
Dyslipidemia
 No2205 (61.99%)a1666 (58.31%)b1967 (53.05%)c< 0.001
 Yes1352 (38.01%)1191 (41.69%)1741 (46.95%)
 BMI (kg/m2)22.66 ± 8.69a24.46 ± 47.29b24.93 ± 28.71c< 0.001
 SBP (mmHg)108.79 ± 7.45a128.01 ± 6.01b146.96 ± 19.75c< 0.001
 DBP (mmHg)65.34 ± 7.16a76.02 ± 7.06b83.52 ± 12.08c< 0.001
Antihypertensive drugs
 No3534 (99.35%)a2848 (99.68%)a2224 (59.98%)b< 0.001
 Yes0 (0%)0 (0%)1467 (39.56%)
Current smoker
 No2484 (69.83%)a1875 (65.63%)b2591 (69.88%)c< 0.001
 Yes1073 (30.17%)982 (34.37%)1117 (30.12%)
Current drinker
 No2399 (67.44%)a1784 (62.44%)b2505 (67.56%)c< 0.001
 Yes1158 (32.56%)1073 (37.56%)1203 (32.44%)
Diabetes
 No3436 (96.6%)a2730 (95.55%)b3405 (91.83%)c< 0.001
 Yes102 (2.87%)100 (3.5%)272 (7.34%)
Site
 Urban1096 (30.81%)a981 (34.34%)b1340 (36.14%)c< 0.001
 Rural2461 (69.19%)1876 (65.66%)2368 (63.86%)

Number of individuals across categories may not sum to the given number because of missing data. For all groups with the same letter (a, b or c), the difference between the groups is not statistically significant at P < 0.05. If two groups have different letters, they are significantly different at P < 0.05.

Blood pressure category with heart disease or stroke

The association of blood pressure category with composite outcome is displayed in Table Table22 and Figure S1 in Supplement materials, supplemental digital content 1, http://links.lww.com/BPMJ/A216. In model 1, compared with individuals with normotension at baseline, the fully adjusted HR (95% CI) were 1.29 (1.13–1.46) and 2.15 (1.93–2.40) for composite outcome in individuals with prehypertension and hypertension at baseline, respectively. In model 2, compared with individuals with normotension at baseline, the fully adjusted HR (95% CI) were 1.26 (1.11–1.43) and 1.95 (1.74–2.18) for composite outcome in individuals with prehypertension and hypertension at baseline, respectively. In model 3, compared with individuals with normotension at baseline, the fully adjusted HR (95% CI) were 1.25 (1.10–1.42) and 1.52 (1.34–1.74) for composite outcome in individuals with prehypertension and hypertension at baseline, respectively. We also observed a significant positive trend in categorized blood pressure for incident composite outcome [HR (95% CI): 1.23 (1.16–1.32), P for trend <0.001]. However, in subgroup analysis, limited number of cases in different age groups may lead to unstable estimation for the association between blood pressure category and composite outcome(Fig. outcome(Fig.1).1). In model 3, prehypertension was closely related to the risk of stroke [HR (95% CI): 1.41 (1.10–1.81)] and heart disease, respectively [HR (95% CI): 1.19 (1.03–1.38)]. In subgroup analysis, prehypertension was more strongly associated with composite outcome among individuals aged 45–50 years and with history of diabetes (Fig. (Fig.11).

Table 2

Risk of heart disease or stroke according to blood pressure category

Baseline blood pressure categoryModel 1Model 2Model 3
HR (95% CI)PHR (95% CI)P-valueHR (95% CI)P-value
Composite outcome
 Normotension1.001.001.00
 Prehypertension1.29 (1.13–1.46)< 0.0011.26 (1.11–1.43)< 0.0011.25 (1.10–1.42)0.001
 Hypertension2.15 (1.93–2.40)< 0.0011.95 (1.74–2.18)< 0.0011.52 (1.34–1.74)< 0.001
 P for trend1.49 (1.41–1.57)< 0.0011.41 (1.33–1.49)< 0.0011.23 (1.16–1.32)< 0.001
stroke
 Normotension1.001.001.00
 Prehypertension1.52 (1.20–1.94)0.0011.44 (1.13–1.84)0.0031.41 (1.10–1.81)0.006
 Hypertension3.04 (2.47–3.75)< 0.0012.70 (2.18–3.33)< 0.0012.15 (1.69–2.73)< 0.001
 P for trend1.78 (1.61–1.97)< 0.0011.67 (1.51–1.86)< 0.0011.47 (1.31–1.66)< 0.001
heart disease
 Normotension1.001.001.00
 Prehypertension1.21 (1.05–1.40)0.0101.20 (1.04–1.38)0.0151.19 (1.03–1.38)0.018
 Hypertension2.00 (1.77–2.27)< 0.0011.83 (1.61–2.08)< 0.0011.41 (1.21–1.63)< 0.001
 P for trend1.44 (1.35–1.53)< 0.0011.37 (1.28–1.46)< 0.0011.19 (1.10–1.28)< 0.001

Model 1 crude model. Model 2 adjusted for age and sex. Model 3 adjusted for age, sex, education level, dyslipidemia, BMI, antihypertensive drugs, smoking status, drinking status, diabetes, and site.

CI, confidence interval; HR, hazard ratio.

An external file that holds a picture, illustration, etc.
Object name is bpmj-29-173-g001.jpg

Subgroup analysis for the association of blood pressure category with composite outcome. All models were adjusted for age, sex, BMI, education level, dyslipidemia, antihypertensive drugs, smoking status, drinking status, diabetes, and site. Red box indicated normotension vs. prehypertension, while the blue box indicated normotension vs. hypertension. HBP, hypertension; preHBP, prehypertension.

Change in blood pressure category

As shown in Table S1 in Supplement materials, supplemental digital content 1, http://links.lww.com/BPMJ/A216 during the first 48 months of follow-up, we excluded 2168 individuals with a major cardiovascular event, death, or blood pressure missing, leaving 7954 included individuals. Among the included normotensive subjects at baseline (n = 2810), 1760 subjects (62.63%) remained normotensive, 733 subjects (26.09%) progressed to prehypertension, and 317 subjects (11.28%) progressed to hypertension during the first 48 months of follow-up. Among the included subjects with prehypertension at baseline (n = 2198), 644 subjects (29.30%) became normotensive, 860 subjects (39.13%) remained at prehypertension, and 694 subjects (31.57%) progressed to hypertension during the first 48 months of follow-up.

Blood pressure progression with composite outcome

The association of blood pressure progression with composite outcome is displayed in Table Table3.3. Individuals who progressed to high blood pressure had a higher cardiovascular risk during the observation period than individuals who remained free of high blood pressure. The risk of composite outcome in the subjects whose blood pressure progressed from prehypertension to hypertension was significantly higher than in those who remained free of hypertension in the fully adjusted model [HR (95% CI): 1.72 (1.37–2.16)], while those whose blood pressure progressed from normotension to hypertension did not have an increased risk in comparison to those who remained free of hypertension.

Table 3

Risk of composite outcome according to blood pressure evolution during the first 48 months of follow-up

Model 1Model 2Model 3
HR (95% CI)P-valueHR (95% CI)P-valueHR (95% CI)P-value
No progression1.001.001.00
Progression to hypertension (from normotension)1.37 (0.97–1.93)0.0781.33 (0.94–1.89)0.1041.27 (0.89–1.80)0.187
Progression to hypertension (from prehypertension)1.80 (1.44–2.26)< 0.0011.76 (1.41–2.21)< 0.0011.72 (1.37–2.16)< 0.001
Baseline hypertension2.02 (1.75–2.33)< 0.0011.90 (1.64–2.20)< 0.0011.51 (1.27–1.79)< 0.001
P for trend1.26 (1.20–1.32)< 0.0011.24 (1.18–1.30)< 0.0011.16 (1.09–1.22)< 0.001

Model 1 crude model. Model 2 adjusted for age and sex. Model 3 adjusted for age, sex, education level, dyslipidemia, BMI, antihypertensive drugs, smoking status, drinking status, diabetes, and site.

CI, confidence interval; HR, hazard ratio.

Discussion

In this research of 10 122 participants accruing 1972 heart disease or stroke during 6.5 years of the mean observation period, blood pressure category was closely related to the risk of CVDs in fully adjusted models. Individuals with prehypertension at baseline had an increased risk of developing heart disease or stroke compared to those with normal blood pressure. Moreover, among the subjects who had normotension at baseline, those who progressed to high blood pressure during the first 48 months had a 1.58 times higher risk of heart disease or stroke than those who remained in the normal blood pressure range (Tables (Tables22 and and33).

Previous research also reported a similar relationship between prehypertension levels of blood pressure and cardiovascular risk. Findings from the Women’s Health Initiative [9] suggested that compared with normotensive women, the adjusted HR (95% CI) of any cardiovascular event for women with prehypertension was 1.66 (1.44–1.92). Yet, only female participants were included in the study and their results cannot be generalized to all populations. In one analysis from the Framingham cohort [10], men and women with baseline prehypertension appear to be associated with an increased risk of MI [RR (95% CI): 3.5 (1.6–7.5)] compared with those with normotension at baseline. In another analysis from the Framingham cohort [9], individuals with SBP 130–139 mmHg or DBP 85–89 mmHg have a 1.6 and 2.5 times risk of fatal and nonfatal cardiovascular events than those with blood pressure at or below 120/80 mmHg. Moreover, a meta-analysis [4] involving 61 prospective studies has also confirmed that blood pressure was associated with cardiovascular mortality, across the whole range of blood pressure, including blood pressure in the prehypertension range. What is more, when the HR drops due to confounding variables in different models, the association of these contributing factors and outcomes is getting closer to the underlying true HR (Table (Table2).2). The difference in these associations needs to be demonstrated in further experiments.

In contrast to the previous studies, we focused our attention on the association of blood pressure progression with heart disease or stroke. We found that subjects who progressed to hypertension during the first 48 months had an increased risk of heart disease or stroke than those who did not progress to hypertension. The risk of heart disease or stroke in the subjects whose blood pressure progressed from prehypertension to hypertension was significantly higher than in those who remained free of hypertension (Table (Table3).3). In one cohort study with 2227 Japanese participants [14], the individuals who progressed from prehypertension to hypertension had 2.95 times higher risk of cardiovascular events than those who remained at normal blood pressure or prehypertension in a fully adjusted model. However, the number of cardiovascular events in this study was small, limiting its evaluation ability. Another prospective cohort study [15] in the USA including 39 322 women found that women who progressed to high blood pressure had a higher rate of cardiovascular events during follow-up than women who were normotensive at baseline. However, this research only included female participants, which limited its generalized ability. Generally, these results indicate that individuals free of hypertension at baseline could have an increased risk of cardiovascular events after their blood pressure progressed to hypertension during the follow-up period.

Several researchers have attempted to clarify markers of blood pressure progression. Results from the Strong Heart Study [16] suggested that higher left ventricular mass, stroke volume, prevalent diabetes and baseline SBP could predict the progression to hypertension in 38% of prehypertension subjects. Erdogan et al. [17] performed a prospective study and showed that the HDL-C level, baseline SBP, metabolic syndrome, a reflection of coronary microvascular function, and presence of microalbuminuria were significant independent markers to identify individuals with prehypertension to incident hypertension.

Generally, the results of this and other research suggest that prevention and reversal of blood pressure progression to reduce heart disease or stroke should be focused on people with prehypertension. Several interventions are beneficial in this population. Sodium reduction, previously shown to lower blood pressure, may also reduce the long-term risk of cardiovascular events in prehypertension subjects [18]. Aerobic exercise was shown to be a necessary component of lifestyle modification for the prevention and treatment of hypertension [19]. Dietary intervention was effective in preventing and treating hypertension [20].

For subgroup analysis (Fig. (Fig.1),1), prehypertension was more closely related to the risk of heart disease or stroke in individuals aged 45–50 years than in those aged 50 years and above. Other prospective research demonstrated that the relation between blood pressure and heart disease or stroke becomes less strong with age, although it remains strong and direct even in the oldest age groups [5,6]. In addition, participants at baseline with a history of diabetes were more associated with the risk of heart disease or stroke than those without diabetes. Recent studies have also shown that diabetic patients with mildly elevated blood pressure had higher risk of cardiovascular events compared with non-diabetic patients with similar blood pressure levels [21]. The reason for increased susceptibility to cardiovascular events among people with diabetes is not fully understood.

Our research has several methodological limitations. First, changes in blood pressure and other confounders over time were not considered. Further studies with detailed analysis would take repeated measures to better explain the potential changes. Second, the competing risk of individuals dying before they could develop heart disease and stroke was not considered in our research. Finally, some other risk factors (such as physical exercise and dietary patterns) are closely related to the risk of heart disease or stroke, we did not adjust for those potential confounders in the present models due to the lack of enough information.

Conclusion

Individuals with prehypertension have a significantly higher risk of heart disease or stroke during observation period compared with individuals with normal blood pressure. The risk of heart disease or stroke in participants with prehypertension was increased after they developed high blood pressure during the observation period. lifestyle modifications and close follow-up are required for these individuals to reduce the disease burden.

Acknowledgements

We acknowledge CHARLS database for providing their platforms and contributors for uploading their meaningful datasets.

QJ and YC conceptualized and designed the study, carried out the initial analyses, drafted the initial article, and reviewed and revised the article.

Ethics approval and consent to participate: This research uses data from the China Health and Retirement Longitudinal Study (CHARLS). The CHARLS was approved by the Biomedical Ethics Review Committee of Peking University and all participants provided written informed consent.

Data from the China Health and Retirement Longitudinal Study was used in this study, which can be downloaded at https://charls.charlsdata.com/pages/data/111/zh-cn.html.

Conflicts of interest

There are no conflicts of interest.

Supplementary Material

Footnotes

Supplemental Digital Content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal's website, www.bpmonitoring.com.

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