Urban-Rural disparities in status of hypertension in northeast China: a population-based study, 2017-2019.

BACKGROUND: To investigate the status of hypertension and related risk factor disparities between urban and rural areas of northeast China.
METHODS: A multi-stage, stratified, and cluster random sampling method was used to conduct the cross-sectional survey in Liaoning Province in 2017-2019. Finally, included 18,796 participants (28.9% urban, 71.1% rural) aged ≥40 years. The prevalence and control rate of hypertension were estimated based on Chinese hypertension guidelines and the 2017 American College of Cardiology/American Heart Association (ACC/AHA) guidelines.
RESULTS: The mean age of the population was 60.4±9.9 years, and 61.0% were women. The overall prevalence of hypertension was 56.8%. Compared to urban areas, hypertension was more prevalent, but the awareness, treatment, and control rates were lower in rural areas (59.2 vs 50.2, 52.5% vs 47.0%, 46.9% vs 34.9%, and 11.4% vs 3.7%, P<0.001, respectively). Multivariate regression analysis identified that the lack of exercise (odds ratio (OR), 1.24; 95% confidence interval (CI), 1.10-1.38) in rural areas, whereas overweight/obesity (OR, 2.01; 95% CI, 1.79-2.27) and alcohol consumption (OR, 1.20; 95% CI, 1.01-1.41) in urban areas were specific risk factors for hypertension, besides common risk factors. Under the 2017 ACC/AHA guidelines, the prevalence of hypertension was 80.6% (urban 76.6%, rural 82.2%), increased 1.4-fold compared with the current Chinese guidelines, with increased rates of 27.9% in urban areas and 25.7% in rural areas.
CONCLUSION: A highly diverse prevalence for hypertension was found between urban and rural areas in northeast China. Region-specific strategies targeting the prevention and management of hypertension should be highlighted.

Introduction

Cardiovascular disease has emerged as a serious public health problem and the leading cause of death and disability in China.1,2 As a major modifiable risk factor for cardiovascular disease, hypertension is responsible for nearly half of all cardiovascular morbidities and mortalities, and even small changes in blood pressure have substantial impact on the consequences of cardiovascular disease.3 Therefore, effective strategies focusing on prevention and management of hypertension should be emphasized.

The status of hypertension is associated with geographic, demographic, and socioeconomic characteristics.4 It is obvious that China has been experiencing rapid social and economic progress, and the epidemiologic characteristics of hypertension likely have changed concurrently, especially in rural populations.5 Moreover, China possesses the fourth-largest land area worldwide, and the status of its population is highly diverse among different regions.6 Although serial national surveys showed that the burden of hypertension increased dramatically over the past decade in China, the situation in northeast China seems more serious.7,8 Previous assessments of hypertension in northeast China are limited due to small or unrepresentative sample size, or insufficient estimation of related risk factors, particularly in urban areas.9,10 Furthermore, previous studies reported the steeper increase in prevalence of hypertension both in urban and rural areas in other countries;11,12 however, the current characteristics of hypertension as well as related risk factors in urban and rural areas of northeast China have not been well studied, and are still lacking.

Reliable epidemiologic data of the current burden of hypertension are crucial in formulating region-specific strategies, since previous studies suggested that China is lagging in risk factor management.13,14 In the present study, we conducted a cross-sectional survey of a large representative population in urban and rural areas of northeast China, aimed to profile the characteristics of hypertension and related risk factors for the future research directions on prevention and management strategies of hypertension in northeast China. Moreover, we performed a similar secondary analysis to determine the prevalence and control rate of hypertension according to the 2017 American College of Cardiology (ACC)/American Heart Association (AHA) High Blood Pressure Guideline, and estimated the burden of hypertension for both the urban and rural areas in northeast China.

Methods

Study population

The cross-sectional study was conducted in northeast China between September 2017 and March 2019. A multistage, stratified, and cluster random sampling method was used to ensure that the samples of the study were representative. Further details of the design are described in the following sections. In the first stage, four rural counties (Chaoyang, Lingyuan, Liaoyang, and Donggang) and three urban districts (Gongchangling, Liuerbao, Zhenan) were randomly selected from western, eastern, and central of Liaoning Province. Subsequently, 19 rural villages and 8 communities were randomly selected from these four counties and three cities. All permanent residents aged 40 years and above in each village (n=22,009), except those who were pregnant or had a mental disorder, were eligible to participate; 18,796 (85.4%) completed the study (Figure 1). The study was granted approval by the Central Ethics Committee at the China National Center for Cardiovascular Disease (Beijing, China). Written informed consent was obtained from all participants. The study was conducted in accordance with the Declaration of Helsinki.

Figure 1

Flow chart of population selection.

Data collection

In brief, the demographic and clinical data were collected in a single clinic visit using a self-administered questionnaire. All eligible investigators were invited to attend the organized training and complete pilot interviews before the study was performed.

Fasting blood samples were collected after an overnight fast of ≥8 hrs in the morning. Metabolic parameters including total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), fasting blood glucose (FBG), and glycosylated hemoglobin (HbA1c) were analyzed using an Abbott Diagnostics C800i auto-analyzer (Abbott Laboratories, Abbott Park, IL, USA) with commercial kits. Detailed methodology of the study is available elsewhere.15,16

Definitions

Hypertension was defined as a mean systolic blood pressure (SBP) ≥140 mmHg or a mean diastolic blood pressure (DBP) ≥90 mmHg and/or self-reported use of antihypertensive medication in the past 2 weeks according to the 2010 Chinese guidelines for the management of hypertension.17 Stage 1 of hypertension was defined as SBP 140–159 mmHg and/or DBP 90–99 mmHg; stage 2 as 160–179 mmHg and/or 100–109 mmHg; and stage 3 as ≥180 mmHg and/or ≥110 mmHg. Prehypertension was defined as SBP ≥120 mmHg and <140 mmHg and/or DBP ≥80 mmHg and <90 mmHg and not being on antihypertensive medication. In addition, according to the 2017 ACC/AHA high blood pressure guidelines, the prevalence (SBP ≥130 mmHg or DBP ≥80 mmHg) and control (SBP <130 mmHg or DBP <80 mmHg) rate of hypertension were also estimated as a post hoc analysis.18

Awareness of hypertension was defined as self-report of any prior diagnosis hypertension by an eligible physician among the hypertensive population, treatment of hypertension was defined as use of antihypertensive medication in the past 2 weeks, and control of hypertension was defined as hypertensive patients not meeting the criteria of hypertension anymore.

Dyslipidemia was determined according to the criteria of National Cholesterol Education Program-Third Adult Treatment Panel (ATP III).19 High LDL-C was defined as LDL-C ≥4.16 mmol/L, low HDL-C was defined as HDL-C <1.03 mmol/L, high TG was defined as TG ≥2.26 mmol/L, high TC was defined as TC ≥6.21 mmol/L. Diabetics was defined according to the World Health Organization (WHO) criteria: FBG ≥7.0 mmol/L or HbA1c ≥6.5% and/or self-reported diagnosis of diabetics that was identified by a certified physician previously.20

Current smoking (≥1 cigarette/day and continued for ≥1 year) and current drinking (any dose of alcohol, ≥1 time/week) were determined according to the self-report.21 Lack of exercise was defined as failing to meet the standards for regular exercise including moderate-intensity exercise (equivalent to walking) for ≥30 mins and ≥3 times per week. Obese was defined as body mass index (BMI) ≥30 kg/m.22

Statistical methods

Descriptive statistics were calculated for all variables. Continuous variables with normal distribution are reported as means and standard deviations. Differences between groups were compared using a Chi-square test for categorical variables. The Student’ t-test was used to compare differences in continuous variables between area and sex subgroups. Logistic regression was applied for risk factor analysis in urban and rural areas. Corresponding 95% CIs were estimated for the parameters. All statistical analyses were conducted using SPSS22.0 (SPSS Inc., Chicago, IL, USA); P-values <0.05 were considered statistically significant.

Results

Characteristics of the study population

A total of 18,796 participants (39.0% men and 61.0% women; 28.9% urban and 71.1% rural) completed the survey and were included in the analysis (Figure 1 and Table 1). The mean age of the population was 60.4±9.9 years (60.9±9.5 years in urban and 60.2±10.1 years in rural). A significant difference was observed between urban and rural for all characteristics including age, education level, income, BMI, prevalence of current smoking, current drinking, lack of exercise, and family history of hypertension. Rural residents had a higher prevalence of low education, low income, low BMI, current smoking, current drinking, lack of exercise, and family history of hypertension than did urban residents (Table 1).

Table 1

Characteristics of the study participants

Characteristics	Region		Sex		Total	P-value for region	P-value for sex
Urban	Rural	Men	Women
Participants, n (%)	5424 (28.9)	13372 (71.1)	7336 (39.0)	11460 (61.0)	18796 (100.0)
Mean age, year	60.9±9.5	60.2±10.1	61.3±10.2	59.7±9.7	60.4±9.9	<0.001	<0.001
40–49	12.2	16.7	14.3	16.1	15.4	<0.001	<0.001
50–59	31.7	30.3	27.5	32.7	30.7
60–69	39.0	34.8	37.4	35.1	36.0
70–79	14.5	15.3	17.2	13.7	15.1
≥80	2.6	3.0	3.6	2.4	2.9
Education, n (%)
Primary school or lower	25.1	59.3	42.3	54.0	49.4	<0.001	<0.001
Middle school	53.0	32.4	42.6	35.6	38.3
High school or above	21.9	8.3	15.1	10.4	12.2
Income, n (%)
<5000	8.0	44.1	31.1	35.4	33.7	<0.001	<0.001
5000–9999	6.4	22.1	18.0	17.3	17.6
10000–19999	16.5	17.6	16.2	18.0	17.3
≥20000	69.0	16.1	34.6	29.3	31.4
Mean BMI, kg/m2	24.9±3.4	24.6±3.7	24.4±3.6	24.9±3.7	24.7±3.7	<0.001	<0.001
<18.5	1.6	3.5	3.3	2.7	2.9	<0.001	<0.001
18.5–23.9	39.9	42.1	44.6	39.4	41.5
24.0–27.9	41.9	37.2	37.7	39.2	38.6
≥28.0	16.6	17.2	14.4	18.7	17
Mean SBP, mmHg	137.6±19.9	145.1±23.3	143.7±21.5	142.4±23.3	142.9±22.6	<0.001	<0.001
Mean DBP, mmHg	83.4±10.6	86.2±11.9	87.1±11.5	84.3±11.5	85.4±11.6	<0.001	<0.001
Current smoking, %	19.0	27.0	52.9	6.6	24.7	<0.001	<0.001
Current drinking, %	20.4	28.9	53.4	9.1	26.4	<0.001	<0.001
Lack of exercise, %	8.9	15.1	12.0	14.1	13.3	<0.001	<0.001
Family history of hypertension, %	30.1	33.8	27.7	36.0	32.8	<0.001	<0.001
Diabetes	20.2	15.8	16.5	17.4	17.1	<0.001	0.113
High TC	14.6	14.1	10.2	16.8	14.2	0.298	<0.001
High TG	19.9	16.8	16.2	18.6	17.7	<0.001	<0.001
Low HDL	28.4	4.5	13.0	10.4	11.4	<0.001	<0.001
High LDL	9.3	4.2	3.7	6.9	5.7	<0.001	<0.001

Abbreviations: BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; TC, total cholesterol; TG, triglyceride; HDL, high-density lipoprotein; LDL, low-density lipoprotein.

Prevalence and classification of hypertension

Among adults aged ≥40 years in northeast China, the overall crude and age-standardized prevalence of hypertension was 56.8% (urban 50.9% and rural 59.2%, p<0.001; men 58.8% and women 55.6%, p<0.001) and 50.2% (urban 43.5% and rural 52.5%; men 53.7% and women 48.6%). The overall crude and age-standardized prevalence of prehypertension was 31.5% (urban 34.9% and rural 30.0%, p<0.001, men 32.6% and women 30.9%, p=0.011) and 34.3% (urban 37.6% and rural 33.1%, men 35.8% and women 33.2%), respectively. Moreover, there were significant differences in crude prevalence of hypertension and prehypertension for each subgroup (p<0.05).

The age-standardized prevalence of hypertension and prehypertension were higher in males than in females (58.8% vs 55.6% and 32.6% vs 30.9%, respectively). Compared with the urban population, although the prevalence of prehypertension was lower in the rural population, the prevalence of stage 2 and stage 3 hypertension was significantly higher (18.3% vs 11.1, and 9.5% vs 4.2, respectively) (Table 2 and Figure 2).

Table 2

Blood pressure level and prevalence of prehypertension, and hypertension by characteristics

Characteristics	N	Blood pressure (mmHg)		Hypertension classification (%)					Hypertension prevalence (%)
SBP	DBP	Normal	Prehypertension	Stage 1	Stage 2	Stage 3
Overall	18,796	142.9±22.6	85.4±11.6	14.9	31.5	29.4	16.2	8.0	56.8
Age group
40–49	2895	131.3±19.1	84.5±11.9	24.8	39.5	23.0	8.9	3.7	36.9
50–59	5764	139.0±20.7	86.0±11.6	16.8	36.5	27.7	13.3	5.8	50.0
60–69	6763	146.1±22.2	85.7±11.4	12.0	29.4	31.7	18.2	8.8	62.5
70–79	2830	152.9±23.4	84.5±11.5	8.9	20.9	33.0	23.6	13.5	73.9
≥80	544	154.0±24.3	84.2±12.3	8.1	19.7	34.4	22.8	15.1	75.4
P-value		<0.001	<0.001		<0.001				<0.001
Sex
Male	7336	143.7±21.5	87.1±11.5	11.0	32.6	31.3	17.2	7.9	58.8
Female	11,460	142.4±23.3	84.311.5	17.3	30.9	28.2	15.5	8.0	55.6
P-value		<0.001	<0.001		0.011				<0.001
Education, n (%)
Primary school or lower	9289	146.9±23.6	85.8±12.0	12.5	27.2	30.6	19.1	10.7	63.2
Middle school	7205	139.6±21.0	85.0±11.2	16.5	35.9	28.3	13.5	5.8	50.9
High school or above	2302	137.0±20.2	84.9±11.0	19.3	35.4	28.4	12.9	4.0	49.5
P-value		<0.001	<0.001		<0.001				<0.001
Income, n (%)
<5000	6336	148.7±24.1	85.9±12.2	11.2	26.5	30.0	20.3	12.0	64.9
5000–9999	3303	143.2±22.4	85.8±11.5	14.4	30.5	30.0	17.2	7.9	57.6
10000–19999	3257	140.3±21.4	85.3±11.5	16.1	34.2	28.6	14.6	6.5	52.7
≥20000	5900	137.9±20.3	84.6±11.0	18.3	36.1	28.9	12.1	4.6	50.0
P-value		<0.001	<0.001		<0.001				<0.001
Mean BMI, kg/m2
<18.5	549	138.2±23.6	81.4±11.5	21.9	33.7	25.3	13.5	5.6	46.6
18.5–23.9	7790	138.9±22.2	82.9±11.1	19.0	35.5	26.6	13.2	5.7	47.9
24.0–27.9	7253	144.2±22.0	86.2±11.1	12.8	31.0	30.8	17.0	8.4	60.1
≥28.0	3200	150.4±22.6	90.3±11.9	8.2	22.9	33.9	22.2	12.8	72.9
P-value		<0.001	<0.001		<0.001				<0.001
Current smoking, %
Yes	4636	141.7±22.1	86.0±11.8	14.7	34.0	28.5	15.1	7.7	53.9
No	14,140	143.3±22.8	85.2±11.5	14.9	30.7	29.7	16.6	8.1	57.7
P-value		<0.001	<0.001		<0.001				<0.001
Current drinking, %
Yes	4964	142.9±21.7	87.2±11.6	12.3	33.0	30.1	16.8	7.9	56.9
No	13,832	142.9±22.9	84.7±11.5	15.8	31.0	29.2	16.0	8.0	56.8
P-value		0.934	<0.001		0.012				0.842
Lack of exercise, %
Yes	2500	148.7±24.7	86.6±12.4	12.5	24.5	29.9	20.4	12.7	66.8
No	16,296	142.0±22.1	85.2±11.4	15.2	32.6	29.3	15.5	7.3	55.3
P-value		<0.001	<0.001		<0.001				<0.001
Family history of hypertension, %
Yes	6159	146.9±23.4	88.0±11.6	13.5	25.1	30.2	20.1	11.1	66.5
No	12,637	140.9±22.0	84.1±11.1	15.6	34.7	29.0	14.3	6.4	52.1
P-value		<0.001	<0.001		<0.001				<0.001
Region
Urban	5424	137.6±19.9	83.4±10.6	20.0	34.9	29.8	11.1	4.2	50.9
Rural	13,372	145.1±23.3	86.2±11.9	12.8	30.2	29.2	18.3	9.5	59.2
P-value		<0.001	<0.001		<0.001				<0.001
Diabetes, %
Yes	3200	150.4±22.9	86.9±11.9	10.6	23.0	32.7	21.8	11.9	71.7
No	15,560	141.3±22.3	85.1±11.5	15.8	33.3	28.7	15	7.2	53.7
P-value		<0.001	<0.001		<0.001				<0.001
High TC, %
Yes	2670	148.4±23.3	87.1±11.6	10.2	26.9	31.3	19.7	11.9	66.2
No	16,089	142.0±22.4	85.1±11.6	15.7	32.3	29.1	15.6	7.3	55.2
P-value		<0.001	<0.001		<0.001				<0.001
High TG, %
Yes	3316	147.3±22.5	88.2±11.4	11.0	26.0	32.4	19.9	10.8	67.6
No	15,443	141.9±22.5	84.8±11.5	15.7	32.8	28.8	15.4	7.4	54.5
P-value		<0.001	<0.001		<0.001				<0.001
Low HDL, %
Yes	2141	142.5±20.5	84.7±11.4	14.5	32.7	31.1	15.4	6.4	57.4
No	16,618	142.9±22.9	85.5±11.6	14.9	31.4	29.2	16.3	8.2	56.7
P-value		0.380	0.003		0.229				0.512
High LDL, %
Yes	1064	148.4±24.2	86.3±11.5	10.6	27.2	30.2	19.4	12.7	65.3
No	17,695	142.5±22.5	85.3±11.6	15.1	31.8	29.4	16.0	7.7	56.3
P-value		<0.001	0.011		0.001				0.001

Abbreviations: BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; TC, total cholesterol; TG, triglyceride; HDL, high-density lipoprotein; LDL, low-density lipoprotein.

Figure 2

Prevalence of hypertension and prehypertension per 100 (with 95% CI) among urban and rural adults in northeast China by region and sex. (A) Prevalence of hypertension by region, (B) prevalence of prehypertension by region, (C) prevalence of hypertension by sex, (D) prevalence of prehypertension by sex.

Levels of SBP and DBP

The mean SBP and DBP were 142.9±22.6 mmHg and 85.4±11.6 mmHg in the overall population (Table 1 and Figure 3). The mean SBP and DBP were significantly higher in rural areas compared with those in urban areas (145.1±23.3 mmHg vs 137.6±19.9 mmHg, and 86.2±11.9 mmHg vs 83.4±10.6 mmHg, respectively, p<0.001).

Figure 3

Levels of systolic blood pressure and diastolic blood pressure in adults in urban and rural northeast China by region and sex. (A) By region, (B) by sex.

Moreover, in addition to significant differences across all age groups, the mean SBP and DBP were more likely to be higher in male participants with a low-education level, low income, high BMI, family history of hypertension, and comorbidities including diabetes and dyslipidemia (p<0.05) (Table 2).

Awareness, treatment, and control of hypertension

Among those with hypertension, 48.5% were aware of their diagnosis; 38.0% were taking antihypertensive medications, but only 5.7% achieved control of blood pressure. Among those who received medical treatment, only 14.9% achieved control of blood pressure. The rates of awareness, treatment, and control are shown in Table 3 and Figure 4. The awareness, treatment, and control rates of hypertension in urban areas were all significantly higher than those in rural areas (52.5% vs 47.0%, 46.9% vs 34.9%, and 11.4% vs 3.7%, respectively, p<0.001).

Table 3

Awareness, treatment, and control rates of hypertension by characteristics

Characteristics	Awareness	Treatment	Control	Control among treated patients
Overall	48.5	38.0	5.7	14.9
Age group
40–49	37.4	24.7	3.3	13.3
50–59	46.3	36.0	6.5	18.0
60–69	50.4	41.2	6.2	15.0
70–79	53.1	42.2	5.1	12.0
≥80	48.0	31.7	4.1	13.1
P-value	<0.001	<0.001	<0.001	0.005
Sex
Male	41.6	29.9	4.1	15.6
Female	53.1	43.5	6.8	13.6
P-value	<0.001	<0.001	<0.001	0.102
Education, n (%)
Primary school or lower	49.0	37.7	4.5	12.0
Middle school	47.4	37.9	6.6	17.4
High school or above	49.3	39.7	8.5	21.5
P-value	0.293	0.455	<0.001	<0.001
Income, n (%)
<5000	49.2	38.4	4.1	10.6
5000–9999	48.4	35.2	4.4	12.5
10000–19999	46.6	35.8	5.7	16.0
≥20000	48.5	40.4	8.7	21.5
P-value	0.357	0.001	<0.001	<0.001
Mean BMI, kg/m2
<18.5	37.5	23.8	4.7	19.7
18.5–23.9	42.1	30.8	4.9	16.0
24.0–27.9	49.6	39.9	6.4	16.1
≥28.0	57.6	47.5	5.6	11.7
P-value	<0.001	<0.001	0.034	0.005
Current smoking, %
Yes	41.4	29.3	4.9	16.6
No	50.6	40.6	5.9	14.6
P-value	<0.001	<0.001	0.049	0.158
Current drinking, %
Yes	38.5	26.5	3.9	14.7
No	52.1	42.1	6.3	15.0
P-value	<0.001	<0.001	<0.001	0.842
Lack of exercise, %
Yes	57.7	45.8	5.7	12.4
No	46.8	36.5	5.7	15.5
P-value	<0.001	<0.001	0.974	0.031
Family history of hypertension, %
Yes	62.6	51.7	7.6	14.8
No	39.7	29.5	4.5	15.1
P-value	<0.001	<0.001	<0.001	0.781
Region
Urban	52.5	46.9	11.4	24.4
Rural	47.0	34.9	3.7	10.5
P-value	<0.001	<0.001	<0.001	<0.001
Diabetes
Yes	59.5	51.2	7.4	14.5
No	45.4	34.4	5.2	15.2
P-value	<0.001	<0.001	<0.001	0.571
High TC
Yes	47.5	39.5	5.0	12.6
No	48.6	37.7	5.8	15.5
P-value	0.37	0.146	0.159	0.053
High TG
Yes	53.9	44.2	6.7	15.1
No	47	36.3	5.4	14.9
P-value	<0.001	<0.001	0.02	0.875
Low HDL
Yes	52.8	46.1	8.0	17.5
No	47.9	36.9	5.4	14.6
P-value	0.001	<0.001	<0.001	0.074
High LDL
Yes	48.3	43.6	4.7	10.9
No	48.5	37.6	5.8	15.3
P-value	0.952	0.002	0.268	0.038

Abbreviations: BMI, body mass index; TC, total cholesterol; TG, triglyceride; HDL, high-density lipoprotein; LDL, low-density lipoprotein.

Figure 4

Awareness, treatment, and control rates among adults ≥40 years of northeast China by region. (A) Awareness rate by region, (B) treatment rate by region, (C) awareness rate by sex, (D) treatment rate by sex, (E) control rate by region, (F) control rate among treated hypertensive patients by region, (G) control rate by sex, (H) control rate among treated hypertensive patients by sex. #p<0.05, *p<0.001.

Related risk factors in the hypertensive population

Significant differences were found between urban and rural areas among the risk factors analyzed for both prevalence and control of hypertension. Multivariate regression analysis identified that male gender, older age, and family history of hypertension, diabetes, and dyslipidemia were common risk factors for prevalent hypertension in both urban and rural areas. What is noteworthy is that lack of exercise (OR, 1.24; 95% CI, 1.10–1.38) was associated with an increased risk of hypertension in rural populations, and overweight/obesity (OR, 2.01; 95% CI, 1.79–2.27) and current drinking (OR, 1.20; 95% CI, 1.01–1.41) were associated with increased risk of hypertension in urban areas (p<0.05).

Participants with a high education level were likely to have low prevalence of hypertension for both urban and rural areas; however, higher household income (>20,000 yuan/year) (OR, 0.78; 95% CI, 0.69–0.88) was shown to be a protective factor against hypertension only in rural areas (p<0.05) (Table 6). Moreover, compared with men, women who lacked exercise (OR, 1.45; 95% CI, 1.08–1.94) were more likely to have hypertension.

Table 6

Prevalence and control rate according to 2010 Chinese high blood pressure guidelines and 2017 ACC/AHA high blood pressure guidelines

Characteristics	Prevalence		Control		Control among treated patients
2010 Chinese	2017ACC/AHA	2010 Chinese	2017ACC/AHA	2010 Chinese	2017ACC/AHA
Overall	56.8	80.6	5.7	0.9	14.9	3.3
Age group
40–49	36.9	68.0	3.3	0.4	13.3	2.7
50–59	50.0	77.7	6.5	0.8	18.0	3.3
60–69	62.5	84.3	6.2	1.1	15.0	3.4
70–79	73.9	88.8	5.1	1.1	12.0	3.1
≥80	75.4	90.1	4.1	1.4	13.1	5.4
P-value	<0.001	<0.001	<0.001	0.021	0.005	0.668
Sex
Male	58.8	78.4	4.1	0.5	13.6	2.6
Female	55.6	84.0	6.8	1.1	15.6	3.7
P-value	<0.001	<0.001	<0.001	<0.001	0.102	0.064
Education, n (%)
Primary school or lower	63.2	83.4	4.5	0.8	12.0	2.8
Middle school	50.9	78.1	6.6	1.0	17.4	4.0
High school or above	49.5	77.3	8.5	1.0	21.5	4.0
P-value	<0.001	<0.001	<0.001	0.382	<0.001	0.081
Income, n (%)
<5000	64.9	84.8	4.1	0.7	10.6	2.3
5000–9999	57.6	80.4	4.4	0.4	12.5	1.5
10000–19999	52.7	78.6	5.7	0.9	16.0	3.6
≥20000	50.0	77.3	8.7	1.4	21.5	5.5
P-value	<0.001	<0.001	<0.001	<0.001	<0.001	<0.001
Mean BMI,kg/m2
<18.5	46.6	70.7	4.7	1.0	19.7	6.6
18.5–23.9	47.9	73.1	4.9	0.8	16.0	3.8
24.0–27.9	60.1	84.3	6.4	1.1	16.1	3.8
≥28.0	72.9	92.2	5.6	0.7	11.7	1.9
P-value	<0.001	<0.001	0.034	0.209	0.005	0.011
Current smoking, %
Yes	53.9	79.9	4.9	0.8	16.6	4.2
No	57.7	80.8	5.9	0.9	14.6	3.1
P-value	<0.001	0.155	0.049	0.687	0.158	0.135
Current drinking, %
Yes	56.9	82.8	3.9	0.5	14.7	2.7
No	56.8	79.8	6.3	1.0	15.0	3.5
P-value	0.842	<0.001	<0.001	0.001	0.842	0.269
Lack of exercise, %
Yes	66.8	86.1	5.7	1.0	12.4	2.7
No	55.3	79.8	5.7	0.9	15.5	3.5
P-value	<0.001		0.974	0.653	0.031	0.321
Family history of hypertension, %
Yes	66.5	86.4	7.6	1.2	14.8	3.1
No	52.1	77.8	4.5	0.7	15.1	3.6
P-value	<0.001	<0.001	<0.001	0.001	0.781	0.438
Region
Urban	50.9	76.6	11.4	1.8	24.4	5.6
Rural	59.2	82.2	3.7	0.6	10.5	2.2
P-value	<0.001	<0.001	<0.001	<0.001	<0.001	<0.001
Diabetes
Yes	71.7	90.2	7.4	1.6	14.5	3.8
No	53.7	78.6	5.2	0.7	15.2	3.1
P-value	<0.001		<0.001	<0.001	0.571	0.261
High TC
Yes	66.2	87.3	5.0	0.9	12.6	3.2
No	55.2	79.5	5.8	0.9	15.5	3.4
P-value	<0.001	<0.001	0.159	0.778	0.053	0.764
High TG
Yes	67.6	88.8	6.7	1	15.1	3
No	54.5	78.8	5.4	0.9	14.9	3.4
P-value	<0.001	<0.001	0.02	0.419	0.875	0.532
Low HDL
Yes	57.4	82.1	8.0	1.4	17.5	4.2
No	56.7	80.4	5.4	0.8	14.6	3.2
P-value	0.512	0.06	<0.001	0.025	0.074	0.201
High LDL
Yes	65.3	86	4.7	0.7	10.9	2
No	56.3	80.3	5.8	0.9	15.3	3.4
P-value	<0.001	<0.001	0.268	0.431	0.038	0.171

Abbreviations: BMI, body mass index; TC, total cholesterol; TG, triglyceride; HDL, high-density lipoprotein; LDL, low-density lipoprotein.

According to the results of the multivariate regression model, men were unlikely to control their hypertension at normal levels (OR, 0.49; 95% CI, 0.36–0.67 in urban and OR, 0.65; 95% CI, 0.51–0.85 in rural) compared to women. Moreover, people with a family history of hypertension and dyslipidemia were more likely to have higher control rate of hypertension both for urban and rural areas. Furthermore, hypertensive people with younger age, lack of exercise, and diabetes in rural areas, and participants with a higher level of education and current smoking in urban areas tended to have a higher control rate. Compared with men, hypertensive women with current smoking and diabetes were likely to achieve normal blood pressure (Tables 4 and 5).

Table 4

Multivariable-adjusted odds ratio for prevalence of hypertension by region

	Urban						Rural
	Univariate analysis			Multivariate analysis			Univariate analysis			Multivariate analysis
OR	95% CI	P-value	OR	95% CI	P-value	OR	95% CI	P-value	OR	95% CI	P-value
Sex
Female	1.00			1.00			1.00	–		1.00	–
Male	1.35	1.21–1.52	<0.001	1.30	1.12–1.49	<0.001	1.04	0.97–1.11	0.298	1.33	1.21–1.46	<0.001
Age group (Year)
40-				1.00			1.00	–		1.00	–
50-	1.95	1.61–2.37	<0.001	1.93	1.57–2.37	<0.001	1.70	1.53–1.89	<0.001	1.68	1.50–1.88	<0.001
60-	2.97	2.46–3.58	<0.001	3.02	2.46–3.70	<0.001	3.01	2.71–3.34	<0.001	3.12	2.77–3.51	<0.001
70-	5.36	4.28–6.72	<0.001	6.04	4.71–7.74	<0.001	4.90	4.28–5.59	<0.001	5.61	4.81–6.54	<0.001
80-	5.47	3.69–8.10	<0.001	7.94	5.21–12.09	<0.001	5.37	4.19–6.90	<0.001	7.07	5.39–9.28	<0.001
Education
Primary school or lower	1.00			1.00			1.00	–		1.00	–
Middle school	0.69	0.60–0.78	<0.001	0.84	0.73–0.98	0.023	0.61	0.56–0.66	<0.001	0.79	0.72–0.86	<0.001
High school or above	0.61	0.52–0.71	<0.001	0.77	0.64–0.92	0.003	0.63	0.56–0.72	<0.001	0.79	0.68–0.91	0.001
Income
<5000	1.00						1.00	–		1	–
5000–9999	1.42	1.07–1.88	0.016				0.70	0.64–0.76	<0.001	0.96	0.87–1.06	0.427
10000–19999	1.08	0.86–1.36	0.495				0.59	0.54–0.65	<0.001	0.9	0.81–1.00	0.06
≥20000	1.09	0.90–1.33	0.382				0.49	0.44–0.54	<0.001	0.78	0.69–0.88	<0.001
Lack of exercise
No	1.00						1.00	–		1.00	–
Yes	1.11	0.92–1.33	0.294				1.74	1.57–1.93	<0.001	1.24	1.10–1.38	<0.001
Family history of hypertension
No	1.00			1.00			1.00	–	–	1.00	–	–
Yes	2.03	1.80–2.29	<0.001	2.57	2.26–2.93	<0.001	1.73	1.60–1.86	<0.001	2.11	1.94–2.30	<0.001
Current smoking
No	1.00						1.00	–	–	1.00	–	–
Yes	1.03	0.90–1.19	0.627				0.77	0.72–0.84	<0.001	0.79	0.72–0.88	<0.001
Current drinking
No	1.00			1.00			1.00	–	–	–	–	–
Yes	1.21	1.06–1.38	0.005	1.20	1.01–1.41	0.034	0.91	0.84–0.98	0.015	–	–	–
Overweight/Obesity
No	1.00			1.00			1.00	–	–	–	–	–
Yes	2.14	1.92–2.39	<0.001	2.01	1.79–2.27	<0.001	1.91	1.78–2.05	<0.001	–	–	–
Diabetes
No	1.00			1.00			1.00	–	–	1.00	–	–
Yes	2.29	1.99–2.63	<0.001	1.74	1.50–2.03	<0.001	2.23	2.01–2.48	<0.001	1.61	1.44–1.80
High TC
No	1.00			1.00			1.00	–	–	1.00	–	–
Yes	1.50	1.28–1.74	<0.001	1.23	1.04–1.46	0.014	1.65	1.48–1.83	<0.001	1.25	1.12–1.41
High TG
No	1.00			1.00			1.00	–	–	1.00	–	–
Yes	1.80	1.57–2.06	<0.001	1.61	1.39–1.87	<0.001	1.76	1.60–1.94	<0.001	1.55	1.39–1.72
Low HDL
No	1.00						1.00	–		–	–	–
Yes	1.21	1.08–1.36	0.002				1.32	1.11–1.57	0.001	–	–	–
High LDL
No	1.00						1.00	–		–	–	–
Yes	1.38	1.15–1.67	0.001				1.79	1.49–2.16	<0.001	–	–	–

Abbreviations: TC, total cholesterol; TG, triglyceride; HDL, high-density lipoprotein; LDL, low-density lipoprotein.

Table 5

Multivariable-adjusted odds ratio for control rate of hypertension by region

	Urban						Rural
	Univariate analysis			Multivariate analysis			Univariate analysis			Multivariate analysis
OR	95% CI	P-value	OR	95% CI	P-value	OR	95% CI	P-value	OR	95% CI	P-value
Sex
Female	1.00			1.00			1.00			1.00
Male	0.59	0.46–0.77	<0.001	0.49	0.36–0.67	<0.001	0.61	0.47–0.79	<0.001	0.65	0.51–0.85	0.001
Age group (Year)
40-	1.00						1.00			1.00
50-	1.64	0.93–2.90	0.088				1.99	1.22–3.24	0.006	2.01	1.23–3.28	0.005
60-	1.65	0.95–2.88	0.076				1.71	1.07–2.79	0.026	1.84	1.14–2.99	0.013
70-	1.42	0.78–2.57	0.247				1.37	0.81–2.32	0.248	1.57	0.91–2.69	0.103
80-	1.04	0.43–2.55	0.926				1.27	0.57–2.83	0.554	1.50	0.66–3.42	0.330
Education
Primary school or lower	1.00			1.00			1.00
Middle school	1.34	1.00–1.79	0.051	1.32	0.98–1.78	0.066	0.88	0.67–1.15	0.331
High school or above	1.67	1.19–2.35	0.003	1.71	1.21–2.43	0.003	0.83	0.52–1.34	0.449
Income
<5000	1.00						1.00
5000–9999	0.86	0.45–1.64	0.652				1.03	0.76–1.39	0.856
10000–19999	1.11	0.66–1.86	0.702				0.94	0.66–1.32	0.701
≥20000	1.07	0.68–1.69	0.768				0.92	0.64–1.34	0.662
Lack of exercise
No	1.00						1.00			1.00
Yes	0.94	0.62–1.41	0.755				1.40	1.06–1.86	0.017	1.45	1.08–1.94	0.013
Family history of hypertension
No	1.00			1.00			1.00			1.00
Yes	1.63	1.29–2.07	<0.001	1.52	1.20–1.94	0.001	2.06	1.63–2.61	<0.001	2.00	1.56–2.55	<0.001
Current smoking
No	1.00			1.00			1.00
Yes	0.92	0.68–1.24	0.569	1.44	1.00–2.05	0.048	0.87	0.66–1.15	0.321
Current drinking
No	1.00						1.00
Yes	0.66	0.48–0.90	0.009				0.65	0.48–0.86	0.003
Overweight/Obesity
No	1.00						1.00
Yes	1.08	0.84–1.39	0.569				1.26	0.99–1.62	0.064
Diabetes
No	1.00						1.00			1.00
Yes	1.19	0.92–1.55	0.177				1.46	1.12–1.91	0.005	1.37	1.05–1.80	0.023
High TC
No	1.00						1.00			1.00
Yes	0.98	0.71–1.33	0.873				0.69	0.48–0.99	0.043	0.60	0.42–0.86	0.005
High TG
No	1.00						1.00
Yes	1.22	0.94–1.59	0.132				1.10	0.83–1.47	0.504
Low HDL
No	1.00						1.00
Yes	0.84	0.65–1.10	0.205				0.89	0.50–1.56	0.680
High LDL
No	1.00			1.00			1.00
Yes	0.66	0.43–1.02	0.062	0.61	0.39–0.94	0.026	0.59	0.30–1.15	0.123

Abbreviations: TC, total cholesterol; TG, triglyceride; HDL, high-density lipoprotein; LDL, low-density lipoprotein.

Classification based on the 2017 ACC/AHA guidelines

Based on the 2017 ACC/AHA guidelines, the prevalence of hypertension was 80.6%, and the control rate was only 0.9%. Even among those participants who received medical treatment, only 3.3% became normotensive (Figure 5 and Table 6). Compared to urban areas, the prevalence of hypertension (76.6% vs 82.2%) was higher in rural areas; however, the control rate remains unacceptably low (1.8% vs 0.6%). Among those who received medical treatment, only 5.6% and 2.2% achieved control of blood pressure in urban and rural regions, respectively, according to the 2017 ACC/AHA guidelines.

Figure 5

The absolute differences in prevalence of hypertension according to 2010 Chinese guidelines for the management of hypertension to 2017 ACC/AHA high blood pressure guidelines by region (A) and sex (B). #p<0.05, *p<0.001.

Although the 2017 ACC/AHA guidelines resulted in a substantial increase in the prevalence of hypertension both in rural and urban areas, the increase rates were higher in urban areas than in rural areas (27.9% vs 25.7%, p<0.05). Males had a higher change than females (28.3% vs 25.1%). Moreover, the difference in control rate was 9.7% in urban areas and 3.1% in rural areas. Furthermore, females had a more significant change than males (5.6% vs 3.5%). In addition, the 2017 ACC/AHA guidelines led to a substantial change in people aged 60 to 80 years compared with the Chinese guidelines, especially in urban areas.

Discussion

The present study provides a comprehensive estimation on the disparities of current hypertension status as well as related risk factors in a representative sample for urban and rural areas in northeast China. In addition to the direct comparisons of the status and risk factor profile according to the Chinese guidelines, we estimated the burden of hypertension in those areas under the 2017 ACC/AHA High Blood Pressure Guidelines. The key findings from the population-based cross-sectional survey were as follows: (1) high prevalence of hypertension and prehypertension (50.2% and 34.3%, respectively) but low awareness, treatment, and blood pressure control (48.5%, 38.0%, and 5.7%) among hypertensive individuals represent a considerable cardiovascular disease risk burden in northeast China. (2) Significant urban–rural differences in status of hypertension as well as associated risk factors were observed. The prevalence of hypertension was higher, but the control rate was lower in rural residents compared with urban residents (52.5% vs 43.5% and 3.7% vs 11.4%, respectively). In addition, the varied related risk factors for prevalence and control of hypertension between urban and rural areas indicate that different strategies are urgently needed in northeast China. (3) Under the 2017 ACC/AHA hypertension guidelines, the hypertension prevalence increased approximately two-thirds, especially in urban residents 60–80 years of age. However, the control rate decreased dramatically, especially in urban areas, suggesting the substantial risks and complications of hypertension in the coming decades. Therefore, fundamental structural changes are urgently needed to address hypertension in terms of reducing cardiovascular risk in northeast China. Moreover, since the majority of the Liaoning residents had low-to-middle income, our results are likely to be generally applicable to the population with same socioeconomic status in China.

Hypertension represents the leading cause of death, responsible for nearly 7.5 million premature deaths or 12.8% of all deaths worldwide.23 With the rapid economic progression, urbanization, and aging of the Chinese population, the epidemiology of hypertension is in a dynamic phase.24 Particularly in rural areas, urbanization is associated with potential lifestyle changes, which further lead to an increase in cardiovascular risk factors. Although a previous study showed convergence in urban–rural prevalence of hypertension at a national level, the geographic, demographic, and socioeconomic characteristics in different regions might differ widely.7 Moreover, northeast China bears a significant proportion of the national burden of morbidity and mortality due to hypertension; effective prevention and management of hypertension could reduce a large percentage of cardiovascular diseases in China. Our study indicated the steep increase in prevalence of hypertension, and stage 2 and above hypertension. High mean blood pressure levels in addition to frustratingly low awareness, treatment, and control rates have been a formidable public problem and may speed up the health expenditure increase in northeast China, especially in rural areas.

A previous national survey in 2002 showed that rural areas had a significantly lower prevalence of hypertension compared to urban areas;8 however, the urban–rural gap gradually narrowed during the period of 1993–2011,25 and the China Hypertension Survey conducted from 2012 to 2015 showed that the prevalence of hypertension among rural adults was comparable to that of urban residents.26 What is of note is that the latest large-scale survey (China PEASE Million Persons Project) undertaken from 2014 to 2017 showed that the hypertension prevalence was slightly higher in rural than in urban areas,2 roughly concordant with our data. The hypertension prevalence rates in northeast China are similar to the prevalence reported from low- and lower-middle-income countries. The variances of urban–rural differences are likely related to more rapid increase of hypertension in the rural population, although the prevalence of hypertension increased both in urban and rural areas.5,15

The Seventh Joint National Committee (JNC7) guidelines (2003) categorized individuals with SBP ≥120 mmHg and <140 mmHg and DBP ≥80 mmHg and <90 mmHg and not on antihypertensive medication as prehypertensive.27 Individuals with prehypertension are associated with elevated overall cardiovascular risk compared to those with normal blood pressure (<120/80 mmHg).28–30 Therefore, the new 2017 ACC/AHA guidelines on the prevention and treatment of hypertension have updated the definition of hypertension as well as the blood pressure treatment goal of 130/80 mmHg.18 Under the new guidelines, the prevalence of hypertension in northeast China increased nearly two-thirds compared with the current Chinese guidelines (80.6% vs 50.2%), which are significantly higher than the overall increased rate at the national level of China and the United States.26,31 Compared to the rural areas, the increase rate was higher in urban areas (27.9% vs 25.7%, P<0.05). And, since the current Chinese guidelines still stipulate a treatment goal of 140/90 mmHg, many of the categories previously known as prehypertension will now be defined as hypertension. Therefore, more attention should be paid to populations with prehypertension to avoid future worsening of premature cardiovascular disease.

The awareness, treatment, and control rates of hypertension in northeast China are far from satisfactory and remain significantly below those of developed countries as well as the national level.10,32,33 The status of hypertension in northeast China is worrisome. As hypertension risk factors involve sociological, environmental, and physical, to clarify the related modifiable risk factors of hypertension according to background characteristics including region and sex differences are essential for rational planning of health services.

A previous study advocated that urbanization was the major social determinants of hypertension in rural areas;34,35 however, our results revealed that in addition to the differences in prevalence and control rate of hypertension, the risk factors of hypertension in urban and rural areas varied widely. After adjusting the common traditional risk factors including advancing age, male gender, family history of hypertension, and low education in both urban and rural areas, lack of exercise has been the major risk factor for the prevalence of hypertension in rural areas. Reasons for this may be the cool climate and lack of exercise facilities in northeast rural China. On the other hand, overweight/obesity and current drinking were related to increased risk of hypertension in urban areas; therefore, lifestyle change should be highlighted in urban areas.

Despite the geographic variation, the differences between males and females were observed in the study. Males were more likely to have hypertension and poor control than females, which coincided with other regions in China and other countries, as previously reported.36 However, compared to men, lack of exercise was a contributor to the high prevalence of hypertension in females. Moreover, a man with a higher income was less likely to have hypertension, and men with relatively lower income were likely to experience occupational and relationship stress, together with an unhealthy lifestyle. In addition, males had a higher change than females according to the 2017 ACC/AHA guidelines, due to the large proportion of prehypertension in males. Therefore, region- and sex-specific strategies in the prevention of hypertension, particularly for men, could yield great improvement.

The strength of this study is that the survey was conducted in a representative population including rural and urban populations and was adequately powered, thus providing opportunity to comprehensively assess the current hypertension epidemic. The major limitation of this study was that the sample size in the urban area was relatively small, since most of the residents in Liaoning Province as well as China still live in rural areas. Moreover, the risks of prehypertension and hypertension including salt intake were not evaluated, as it was well established in recent years as a major contributor to hypertension.3,37 Furthermore, the potential impact of the 2017 ACC/AHA guidelines on the prevention and management of hypertension should be fully assessed. In addition, the high percentage of men in the floating population in China might responsible for the high proportion of women in the study.38 However, as women were more sensitive to health education and had better access to prevention strategies, selection bias was inevitable in the study.39 In this study, all comparisons were based on the standardized population, which minimizes selection bias.

In conclusion, the high prevalence, but low awareness, treatment, and control rates of hypertension present a considerable population burden both in urban and rural areas of northeast China. However, in rural areas, the burden is more significant. Moreover, the elevated mean blood pressure levels and high prevalence of prehypertension remain worrisome. Under the 2017 ACC/AHA guidelines, the prevalence of hypertension significantly increased, whereas the control rate markedly decreased; however, the change rate in urban areas was more predominate because of the high prevalence of prehypertension. Furthermore, the risk factors of hypertension in urban and rural areas differ widely; the lack of exercise was associated with high prevalence of hypertension in rural areas, whereas overweight/obesity and current drinking contributed to the development of hypertension in urban areas. Therefore, hypertension has been becoming a major public health challenge in northeast China; region-specific strategies between urban and rural areas should be highlighted in northeast China, in addition to adequate screening and education on the prevention and management of hypertension.