Literature DB >> 31500574

Blood pressure and hypertension prevalence among oldest-old in China for 16 year: based on CLHLS.

Jiajun Du1, Guoning Zhu2, Yanhong Yue3, Miao Liu4, Yao He5.   

Abstract

BACKGROUND: There were little national data on hypertension based on the oldest-old, and lack of information on chronological changes. This study aimed to describe trends of blood pressure (BP) levels and hypertension prevalence for the past 16 years among the oldest-old in China.
METHODS: All the oldest-old who had participated in the Chinese Longitudinal Healthy Longevity Survey (CLHLS) 1998 to 2014 with information about BP levels and hypertension were included in the analysis.
RESULTS: There was fluctuation over the past 16 years for both SBP and DBP levels. The mean SBP level decreased from 148.4 ± 24.4 mmHg in 1998 to 130.8 ± 18.7 mmHg in 2005, and then increased to 139.7 ± 22.0 mmHg in 2014. The mean DBP level decreased from 84.3 ± 13.4 mmHg in 1998 to 78.9 ± 11.7 mmHg in 2008, and then increased to 79.7 ± 11.8 mmHg in 2014. The hypertension prevalence increased from 43.1 to 56.5% for the 16 years. The prevalence of isolated systolic hypertension was lowest in 2002-2005 (14.3%), and then increased to 30.7% in 2014. Multivariate logistic regression showed that older age, lower education and economic level, without health insurance were associated with higher hypertension prevalence.
CONCLUSIONS: There was a significant increase in hypertension prevalence among the Chinese oldest-old from 1998 to 2014. Greater efforts are needed for hypertension prevention among this specific population.

Entities:  

Keywords:  Blood pressure; Epidemiology; Hypertension; Oldest-old; Prevalence

Mesh:

Year:  2019        PMID: 31500574      PMCID: PMC6734230          DOI: 10.1186/s12877-019-1262-4

Source DB:  PubMed          Journal:  BMC Geriatr        ISSN: 1471-2318            Impact factor:   3.921


Background

Hypertension is one of the important risk factors for cardiovascular disease. The higher the blood pressure (BP), the greater the coronary heart disease and stroke risks [1-3]. Therefore, it is particularly important to understand the epidemic trend of hypertension. The prevalence of hypertension varies greatly among different age groups, especially among elderly. And isolated systolic hypertension (ISH) (systolic blood pressure (SBP) ≥140 mmHg while diastolic blood pressure (DBP) < 90 mmHg) was most existed in elderly [4, 5]. On the other hand, there was a lack of basic data about hypertension prevalence among the oldest-old (aged 80 and over) in China. Previous studies were either among adults, or with small sample, or mainly with inpatients [6, 7]. There were little national data on hypertension based on the oldest-old. Additionally, most studies were based on one time survey, the chronological changes had never been reported, which was a reflection of effects about national control measures of hypertension. Therefore, we reported the epidemiology characteristics of hypertension based on 63 thousand oldest-old from seven waves (1998, 2002, 2002, 2005, 2008, 2011, 2014) of Chinese Longitudinal Healthy Longevity Survey (CLHLS), the first and largest longitudinal survey focused on the oldest-old in China [8]. We evaluated the prevalence of hypertension by geography and subpopulations, and the chronological changes.

Methods

Study design

All the participants were from the seven waves of CLHLS, and those who aged more than 80 years old with complete records on BP and hypertension information were included. General characteristic of the seven survey waves was listed in Table 3 in Appendix. The details of the CLHLS and sample design have been described elsewhere [8]. The follow-up survey waves were conducted in 2000, 2005, 2008, 2011, and 2014. The use of CLHLS data was approved by the Biomedical Ethics Committee of Peking University, and written informed consent was obtained from each respondent.

Definitions

According to the BP levels, participants were divided into the following groups: normal BP, SBP ≤ 120 mmHg and DBP ≤80 mmHg among those who had never been diagnosed with hypertension; high-normal BP, 120 mmHg<SBP ≤ 139 mmHg or 80 mmHg<DBP ≤ 89 mmHg among those who had never been diagnosed with hypertension; Hypertension, SBP ≥ 140 mmHg or DBP ≥ 90 mmHg or self-reported being diagnosed as hypertension by II&III grade hospital before; ISH was defined as SBP ≥ 140 mmHg and DBP < 90 mmHg regardless of previous hypertension diagnosis history. Mean arterial pressure (MAP) was calculated as the following formula: (SBP+ (2 × DBP)) ÷3. Pulse pressure (PP) was calculated as SBP minus DBP.

Statistical analysis

Mean SBP, DBP, MAP, and PP levels were calculated and expressed as mean ± standard deviation (SD). Variance analysis was used to compare the differences among subgroups. Besides, we estimated the prevalence of hypertension among all the participants. The age and gender adjusted prevalence of hypertension for the first four waves (1998, 2000, 2002, 2005) was calculated using the direct methods based on the fifth Chinese national census data, and the age and gender adjusted prevalence of hypertension for the last three waves (2008, 2011, 2014) was calculated using the direct methods based on the fifth Chinese national census data. Multivariate logistic regression was used to calculate Odds ratios (ORs) and their 95% confidence intervals (CIs).

Ethical consideration

The use of CLHLS data was approved by the Biomedical Ethics Committee of Peking University.

Results

Trends of BP levels

Figure 1 showed the trends of BP levels among the seven waves. The mean SBP level decreased from 148.4 ± 24.4 mmHg in 1998 to 130.8 ± 18.7 mmHg in 2005, and then increased to 139.7 ± 22.0 mmHg in 2014. There was fluctuation over the past 16 years for SBP levels. For different age groups, those aged 80–89 years had the highest SBP levels, while those aged ≥100 years had the lowest SBP levels(p < 0.05). Compared with different age groups, SBP level was the highest in 80-year-olds and lowest in 100-year-olds (p for trend < 0.05). For different categories of residence, those from rural areas had the highest SBP levels, while those from the city had the lowest SBP levels. This trend was pronounced after 2008 wave (p < 0.05). There was no significant difference for male and female (p > 0.05). When we excluded those who had hypertension, the trend was similar to that of total population (Table 4 in Appendix). The mean DBP level decreased from 84.3 ± 13.4 mmHg in 1998 to 78.9 ± 11.7 mmHg in 2008, and then increased to 79.7 ± 11.8 mmHg in 2014. Data showed that there had been fluctuations in the seven survey waves during the 16 years (Table 5 in Appendix). The mean MAP level was 105.6 ± 15.2 mmHg in 1998 wave. And it showed decreasing trend until 2008 survey wave (the lowest mean MAP level was 98.0 ± 12.3 mmHg). Then it went up to 99.7 ± 13.3 mmHg in 2014 wave (Table 6 in Appendix). The mean PP level was 64.1 ± 19.8 mmHg in 1998 wave. And it showed decreasing trend until 2005 survey wave. Then it went up to 59.9 ± 18.8 mmHg in 2014 wave (Table 7 in Appendix). There was no significant gender difference for DBP, MAP or PP levels, just like SBP levels. The differences among age, category of residence were similar with SBP levels.
Fig. 1

SBP, DBP MAP and PP levels for the seven survey waves

SBP, DBP MAP and PP levels for the seven survey waves

Trends in hypertension prevalence

In 1998 wave, 43.1% (95%CI: 42.0–44.1%) of the participants had hypertension (Table 1). And the prevalence showed an increasing trend along with seven survey waves over the past 16 years (p < 0.001). The weighted prevalence (two weighted method: 1. weight calculated based on age-sex-residence-specific distribution from the CLHLS study; 2. weight was calculated based on the fifth (for the first four waves, 1998, 2002, 2002, 2005) and sixth (for the last three waves, 2008, 2011, 2014) national census data.) was similar like unadjusted initial value, with the same trend. Similar to BP levels, there was also a significant decrease trend along with age groups (p < 0.05), relatively higher prevalence in rural areas and eastern China (p < 0.05), and no significant difference for male and female (p > 0.05).
Table 1

The prevalence (%) of hypertension by seven waves

Wave1998200020022005200820112014p
Gender
 Male43.1(41.4–44.7)43.3(41.9–44.8)42.3(40.9–43.9)48.8(47.3–50.3)46.3(44.8–47.8)50.1(48.1–52.1)55.3(53.0–57.5)< 0.001
 Female43.1(41.7–44.4)43.8(42.6–45.1)43.4(42.3–44.6)46.4(45.2–47.6)45.8(44.6–47.0)54.6(53.0–56.2)57.4(55.5–59.3)< 0.001
 p0.9950.6070.2770.0160.602< 0.0010.150
Age-group
 80–89 yrs45.4(43.7–47.1)44.3(42.9–45.7)44.5(43.0–46.0)51.3(49.8–52.9)50.2(48.6–57.1)56.7(54.8–58.6)59.9(57.9–62.0)< 0.001
 90–99 yrs43.9(42.1–45.7)44.3(42.7–45.9)43.5(42.7–45.9)46.9(45.4–48.5)46.4(44.9–47.9)52.6(50.6–46.6)54.3(51.8–56.7)< 0.001
 100- yrs38.7(36.7–40.6)41.2(39.2–43.2)40.5(38.8–42.3)42.3(40.4–44.1)39.9(38.8–42.3)46.0(43.4–48.6)52.2(48.9–55.6)< 0.001
 p for trend< 0.0010.0320.003< 0.001< 0.001< 0.001< 0.001
Category of residence
 City41.8(40.1–43.5)43.2(41.7–45.1)43.0(41.1–44.9)45.9(44.6–47.2)43.7(41.7–45.8)48.8(43.8–51.7)51.1(41.2–55.1)< 0.001
 Town43.4(41.5–44.9)43.0(41.3–45.1)48.4(46.5–50.3)46.1(44.9–47.3)51.0(48.8–53.3)56.2(53.7–58.8)< 0.001
 Rural43.8(42.3–45.3)44.2(41.7–46.3)43.2(41.7–44.3)50.0(47.8–52.0)48.9(46.9–51.0)55.1(53.4–56.8)58.0(56.1–59.9)< 0.001
 p for trend0.123< 0.0010.634< 0.001< 0.0010.0060.838
Total43.1(42.0–44.1)43.6(42.7–44.5)43.0(42.1–43.9)47.3(46.4–48.3)46.0(45.1–46.9)52.8(51.6–54.0)56.5(55.1–58.0)< 0.001
Weighted Total45.2(44.2–46.3)44.8(43.9–45.8)44.4(42.4–46.4)50.6(48.6–52.6)50.2(48.2–52.2)53.8(51.6–55.9)57.4(55.1–59.7)< 0.001
Weighted Total45.3(43.8–46.9)44.3(43.1–45.6)44.6(43.2–45.9)50.9(49.5–52.3)49.8(48.5–51.3)56.6(54.8–58.3)59.5(57.6–61.4)< 0.001

*:City and town were combined as one category in 1998 wave

†: Weight was calculated based on age-sex-residence-specific distribution from the CLHLS study

‡: Weight was calculated based on the sixth national census data

The prevalence (%) of hypertension by seven waves *:City and town were combined as one category in 1998 wave †: Weight was calculated based on age-sex-residence-specific distribution from the CLHLS study ‡: Weight was calculated based on the sixth national census data The trend for ISH prevalence was different. The lowest prevalence was in 2002 wave (14.3, 95%CI: 13.7–15.0%), the highest prevalence was 30.5% (95%CI: 29.6–31.5%) in 1998 wave and 30.7% (95%CI: 29.3–32.0%) in 2014 wave. The differences among gender, age, category of residence were similar to that of BP levels (Table 8 in Appendix). The prevalence of high-normal BP also showed an increasing trend. It went from 20.9% (95%: 20.0–21.7%) in 1998 wave to the highest of 47.5% (95%: 46.6–48.4%) in 2008 wave. Then it remained at about 35.0% in the following two waves. For different stages of hypertension, participants with hypertension who were classified as stage I or stage II also showed similar increasing trend (Fig. 2).
Fig. 2

Prevalence of hypertension for the seven survey waves

Prevalence of hypertension for the seven survey waves Sensitivity analysis was performed among those who were first included in the analysis. The BP levels, the prevalence of hypertension were a little higher than the results of the total participants in each survey wave (Table 9 in Appendix).

Multivariable analysis of hypertension prevalence

Using the most current survey wave data (CLHLS 2014), Table 2 presented the adjusted ORs and 95%CI for the association between covariates in four multivariable logistic regressions each using the following two binary outcomes as dependent variables: (1) prevalence of hypertension; (2) prevalence of ISH. Gender, marriage status had no statistical association with hypertension prevalence. Compared with Han nationality, minorities had lower hypertension prevalence (OR = 0.76, 95%CI: 0.59–0.99). However, only participants aged 90–99 and ≥ 100 years old were of lower risk of hypertension than those aged 80–89 years old (OR = 0.69, 95%CI:0.58–0.79; OR = 0.52, 95%CI: 0.42–0.64 respectively). Participant who had higher education levels, central obesity, were more likely to have hypertension. For different categories of residence, compared with those from urban (including city and town) areas, those from rural areas had higher risk of prevalence of hypertension (OR = 1.24, 95%CI: 1.08–0.99; OR = 0.53, 95%CI: 0.35–0.82 respectively).
Table 2

Adjusted ORs (95%CI) for prevalence, of hypertension

CharacteristicPrevalencePrevalence of isolated systolic hypertension
Gender
 Male1.00(ref)1.00(ref)
 Female1.03(0.82–1.29)0.96(0.80–1.14)
Age-group
 80–89 yrs1.00(ref)1.00(ref)
 90–99 yrs0.69(0.58–0.79) *0.99(0.86–1.15)
 100- yrs0.52(0.42–0.64) *0.98(0.82–1.18)
Education years
 0 years1.00(ref)1.00(ref)
 1–6 years1.06(0.89–1.27)1.03(0.87–1.22)
  ≥ 7 years1.19(0.79–1.63)0.87(0.65–1.17)
Current marriage
 Married1.00(ref)1.00(ref)
 Divorced/Widowhood/other1.10(0.93–1.30)1.05(0.89–1.23)
Nationality
 Han1.00(ref)1.00(ref)
 Minority0.76(0.56–0.99) *0.86(0.66–1.12)
Smoking
 Never smoking1.00(ref)1.00(ref)
 Ever smoking1.36(1.08–1.70)*0.93(0.75–1.16)
 Current smoking1.03(0.82–1.30)0.92(0.74–1.14)
Alcohol drinking
 Never drinking1.00(ref)1.00(ref)
 Ever drinking1.21(0.96–1.54)0.89(0.70–1.13)
 Current drinking0.81(0.66–1.02)0.88(0.71–1.09)
Central obesity
 No1.00(ref)1.00(ref)
 Yes1.76(1.52–2.03)*1.46(1.27–1.68)*
Category of residence
 City1.00(ref)1.00(ref)
 Town1.13(1.09–1.34)*1.21(0.98–1.51)
 Rural1.24(1.08–1.47)*1.24(1.01–1.53)*
Having health insurance
 No1.00(ref)1.00(ref)
 Yes1.05(0.88–1.24)0.86(0.74–1.01)

*:p < 0.05

Adjusted ORs (95%CI) for prevalence, of hypertension *:p < 0.05

Discussion

Our study provided the mean BP levels and epidemic picture of hypertension among the oldest-old in China based on CLHLS 1998 to 2014 survey wave. The results indicated that BP levels were high especially DBP and PP levels. Besides, hypertension was of relatively high prevalence, and showed an increasing trend along with seven survey waves over the past 16 years. The study of BP levels had filled in the blanks for mean BP levels based on community oldest-old in China. And there was fluctuation over the past 16 years for both SBP and DBP levels.. The mean BP levels were significantly higher than those of adults while they were about the same as those of the younger elderly who aged 65–74 years old from the interASIA study in 2000–2001 [9, 10]. The above results and the comparison with the domestic and foreign studies indicated that the BP levels of the oldest-old in China was close to those of the younger elderly, which were lower than those of the elderly in the same age group in developing countries. However what cannot be ignored was that the increasing trend of BP levels for the past 16 years, which was worth paying attention to. The prevalence of hypertension has gradually increased for the past 16 years was consistent with hypertension prevalence and increasing cardiovascular disease burden. And compared with previous studies based adults or younger elderly, the oldest-old had the highest prevalence [11]. Our study also provides data on ISH, which was an important subtype of serious harm among elderly. Data showed that about half of the hypertension oldest-old were classified as ISH subtype, which was higher than the situation in other age groups [12-14]. The result from our study showed that there was no less than 30% percent of total hypertension patients could be classified as stage II and above. This suggested that we need to pay attention to the serious situation of high ISH prevalence and high percentage of stage II & III hypertension in the oldest-old and prevent subsequent cardiovascular diseases. In addition, it is worth noting that not only the hypertension prevalence was increasing, the prevalence of high-normal BP also showed an increasing trend. And evidence showed that high-normal BP was one of the important risk factors of hypertension and cardiovascular diseases [15]. Without enough early prevention measures, those who had high-normal BP will sooner or later develop into hypertension. We also added information about related factors associated with hypertension (including ISH) prevalence. The gender difference was not significant, which was unlike adults and in line with expectations, since the protective effect of estrogen had disappeared for more than 30 years[16-19]. For unhealthy lifestyles, those who were ever smoking or alcohol drinking had higher prevalence. This was in line with the phenomenon of quitting smoking or stop drinking because of disease [20]. Obesity was a risk factor for hypertension, just like other studies about adults. Evidence showed that there were a series of endocrine and metabolic changes due to obesity, which might be associated with the hypertension [21]. There were several strengths. First, the CLHLS study was a large scale nationwide study covering 23 provinces of China for the past 16 years. The large sample was unique for representation of the oldest-old. Second, there was good design and strict quality control during the whole survey, which ensures the good quality data. Our study had several limitations. First, the study sample was from 23 provinces, there was a lack of representativeness for other unselected provinces. Besides, because of the sampling method used in CLHLS, the participants were not representative samples. We calculated both the crude and weighted prevalence, and the trends were similar. Second, most of the participants of CLHLS were from communities, and there was only less than 5% who lived in living in nursing homes or other institutions. But this was in accordance with the situation in China, since more than 95% of the elderly were home-based care. Third, there was less than 3.5% frail oldest-old with severe diseases or disability who didn’t have BP recorded,, and this may cause underestimation of prevalence. Fourth, BP levels were measured on the same day. Although the average of two times was use, long-time changes were not captured. Fifth, we didn’t have information about treatment and medication information. Although this kind of definition had been adopted in quite a number of epidemiological investigations, the resulting bias cannot be ignored. Combined with the results of previous studies on treatment rates in China and the prevalence of hypertension in this study, this bias may lead to an overestimation. However, taking 2014 survey as an example, there were a total of 299 participants who were classified as hypertension according to previous history with SBP ≤ 140 mmHg and DBP ≤ 90 mmHg this time. And the misclassification participants were calculated as 299–299*30% (the treatment rate according to the China PEACE Million Persons Project) = 209, and the misclassification rate = 209/4587 = 4.6%. this number times. Sixth, only cross-sectional analysis was conducted, and there was lack of the lack of survival data analysis and sensitivity analysis in relation to survival of at least 1–2 years. Seventh, due to the cross-sectional nature, the results about risk factor of prevalence were of low evidence level.

Conclusions

In conclusion, this was the first large scale nationwide study about hypertension with long time comparisons for over 16 years among oldest-old in Chinese. The results also provided evidence about the trends of hypertension prevalence in China, which indicated that hypertension prevention was still a long and arduous task.
Table 3

General characteristic of the seven survey waves

WaveTotal populationTotal oldest-oldExcluded oldest-old due to missing informationIncluded populationMean ageMale (%)
199890938959265869492.3 ± 7.639.7
200011,20011,16235410,80891.3 ± 7.541.6
200216,06411,17510211,07392.6 ± 7.639.4
200515,63810,65816010,49892.8 ± 7.239.2
200816,54012,00270111,30192.7 ± 7.439.4
201197656530129640192.2 ± 7.740.2
201471924738151458791.3 ± 7.641.3
Table 4

SBP levels by seven waves

VariableWave1998200020022005200820112014p
SBPGender
Male147.9 ± 23.6137.5 ± 21.1134.7 ± 17.1131.1 ± 18.1135.5 ± 20.9136.2 ± 20.4139.9 ± 20.8< 0.001
Female148.8 ± 25.1137.6 ± 22.3134.3 ± 17.5130.6 ± 19.0136.1 ± 21.3137.1 ± 23.0139.4 ± 22.8< 0.001
p0.0780.8250.1950.0640.1810.1020.100
Age-group
80–89 yrs150.9 ± 24.3138.5 ± 22.3135.5 ± 18.0132.4 ± 18.7138.0 ± 21.8137.8 ± 20.7140.4 ± 20.8< 0.001
90–99 yrs148.6 ± 24.0138.0 ± 22.0134.5 ± 17.2131.1 ± 18.7135.5 ± 21.3137.5 ± 22.6139.4 ± 22.4< 0.001
100- yrs144.7 ± 25.1135.0 ± 20.3133.1 ± 16.6127.9 ± 18.2133.5 ± 19.8134.5 ± 23.4137.6 ± 23.9< 0.001
p for trend< 0.001< 0.001< 0.001< 0.001< 0.001< 0.0010.007
Category of residence
City148.3 ± 24.0137.2 ± 21.8134.6 ± 18.3130.3 ± 18.7133.8 ± 18.7133.2 ± 20.2134.1 ± 20.0< 0.001
Town137.4 ± 21.3135.1 ± 17.2130.8 ± 18.4134.8 ± 20.5136.7 ± 21.2138.9 ± 20.6< 0.001
Rural148.6 ± 24.8138.0 ± 22.1134.2 ± 17.0130.9 ± 18.8136.9 ± 20.1138.4 ± 23.0141.2 ± 22.9< 0.001
p for trend0.5870.2770.0870.496< 0.001< 0.001< 0.001
Region of China
East149.0 ± 24.0139.0 ± 21.1134.6 ± 17.1132.8 ± 21.6139.7 ± 22.7139.2 ± 22.3140.2 ± 22.4< 0.001
Central148.1 ± 24.8134.8 ± 22.3134.2 ± 18.4130.6 ± 17.6135.3 ± 20.5134.4 ± 21.8139.8 ± 22.2< 0.001
West146.6 ± 25.2133.0 ± 20.9132.2 ± 16.8127.9 ± 16.4135.5 ± 21.9134.0 ± 20.0136.7 ± 19.1< 0.001
p for trend0.006< 0.001< 0.001< 0.001< 0.001< 0.0010.007
Total148.4 ± 24.4137.0 ± 21.6134.1 ± 17.4130.8 ± 18.7136.1 ± 21.4137.1 ± 22.0139.7 ± 22.0< 0.001
SBP among those without hypertensionGender
Male135.7 ± 19.5126.3 ± 16.6126.4 ± 14.2120.4 ± 10.7122.7 ± 11.2121.6 ± 11.7123.3 ± 10.9< 0.001
Female136.0 ± 21.3125.6 ± 17.4125.2 ± 13.6119.1 ± 11.3122.5 ± 11.1120.7 ± 12.4121.9 ± 11.9< 0.001
p< 0.0010.1760.0020.0970.7510.9810.317
Age-group
80–89 yrs138.5 ± 20.4126.7 ± 17.8126.3 ± 14.2120.4 ± 10.9123.2 ± 11.2122.4 ± 11.5123.9 ± 10.4< 0.001
90–99 yrs135.7 ± 20.0126.2 ± 17.2125.8 ± 13.9120.3 ± 10.7122.1 ± 11.3121.2 ± 12.1122.5 ± 11.6< 0.001
100- yrs132.8 ± 21.1123.8 ± 15.3124.7 ± 13.4117.7 ± 11.6122.5 ± 10.9119.1 ± 12.8119.6 ± 13.0< 0.001
p for trend< 0.001< 0.0010.001< 0.0010.008< 0.001< 0.001
Category of residence
City135.6 ± 20.3125.8 ± 17.1125.4 ± 13.6118.9 ± 10.8122.3 ± 10.6120.5 ± 12.1120.7 ± 11.3< 0.001
Town125.9 ± 16.4125.6 ± 13.5119.0 ± 11.5122.6 ± 11.0120.9 ± 12.3123.4 ± 11.8< 0.001
Rural136.5 ± 20.8125.9 ± 17.6126.3 ± 15.0120.1 ± 11.1122.7 ± 11.4121.8 ± 11.8122.5 ± 11.4< 0.001
p for trend0.1420.9570.0890.0010.7220.0620.004
Region of China
East136.5 ± 20.1127.4 ± 17.3126.1 ± 13.6122.4 ± 12.1123.5 ± 10.5122.4 ± 11.6123.4 ± 11.4< 0.001
Central136.4 ± 21.5123.7 ± 16.9126.0 ± 15.5120.1 ± 10.9122.4 ± 12.1121.9 ± 11.6122.6 ± 11.4< 0.001
West133.5 ± 20.6123.7 ± 14.7123.7 ± 12.1118.5 ± 10.5120.7 ± 11.9118.8 ± 12.8121.8 ± 11.5< 0.001
p for trend0.001< 0.001< 0.001< 0.001< 0.001< 0.0010.179
Total136.0 ± 20.6125.7 ± 16.9119.7 ± 11.1119.6 ± 11.1122.6 ± 11.2121.1 ± 12.1122.5 ± 11.5< 0.001

*:City and town were combined as one category in 1998 wave

Table 5

DBP levels by seven waves

VariableWave1998200020022005200820112014p
DBPGender
Male84.5 ± 13.381.9 ± 12.885.2 ± 12.082.5 ± 11.779.2 ± 11.979.2 ± 11.879.8 ± 11.8< 0.001
Female84.4 ± 13.681.7 ± 13.085.5 ± 12.381.8 ± 12.178.7 ± 11.479.7 ± 12.579.4 ± 11.8< 0.001
p0.8540.4190.2160.0070.0310.1260.285
Age-group
80–89 yrs85.5 ± 13.382.1 ± 13.685.5 ± 12.783.2 ± 12.279.0 ± 11.680.2 ± 11.880.3 ± 11.4< 0.001
90–99 yrs84.7 ± 13.481.9 ± 13.185.5 ± 11.981.9 ± 11.979.0 ± 12.079.4 ± 12.279.2 ± 12.0< 0.001
100- yrs82.6 ± 13.781.0 ± 12.385.0 ± 11.880.9 ± 11.878.6 ± 11.278.4 ± 13.478.6 ± 12.30.854
p for trend< 0.0010.0030.119< 0.0010.121< 0.001< 0.001
Category of residence
City83.6 ± 13.081.5 ± 14.084.3 ± 12.281.7 ± 11.779.6 ± 12.577.4 ± 12.377.3 ± 12.0< 0.001
Town81.7 ± 13.085.7 ± 12.281.8 ± 12.478.8 ± 11.780.0 ± 11.979.6 ± 11.2< 0.001
Rural84.9 ± 13.782.2 ± 11.985.8 ± 12.183.4 ± 11.978.9 ± 11.280.2 ± 12.880.2 ± 12.0< 0.001
p for trend< 0.0010.044< 0.001< 0.001< 0.001< 0.001< 0.001
Region of China
East85.7 ± 12.882.5 ± 12.985.1 ± 11.484.0 ± 10.879.5 ± 10.980.6 ± 11.781.0 ± 11.6< 0.001
Central84.1 ± 14.282.1 ± 13.484.6 ± 12.080.1 ± 13.779.4 ± 12.980.2 ± 12.380.2 ± 12.4< 0.001
West82.9 ± 14.479.5 ± 12.782.6 ± 12.379.1 ± 11.076.5 ± 11.878.6 ± 12.279.0 ± 11.4< 0.001
p for trend< 0.001< 0.001< 0.001< 0.001< 0.001< 0.001< 0.001
Total84.3 ± 13.481.8 ± 13.084.6 ± 11.782.0 ± 11.978.9 ± 11.779.4 ± 12.079.7 ± 11.8< 0.001
DBP among those without hypertensionGender
Male80.3 ± 10.778.1 ± 9.680.6 ± 8.276.6 ± 7.375.3 ± 8.773.9 ± 8.874.5 ± 8.0< 0.001
Female80.0 ± 11.077.8 ± 9.580.3 ± 8.175.6 ± 7.975.3 ± 8.674.6 ± 9.073.7 ± 8.8< 0.001
p0.3050.1840.120< 0.0010.7940.3230.034
Age-group
80–89 yrs81.3 ± 10.678.1 ± 9.680.6 ± 8.176.7 ± 7.575.8 ± 8.574.2 ± 8.474.9 ± 7.9< 0.001
90–99 yrs80.3 ± 10.778.1 ± 9.480.4 ± 8.076.1 ± 7.675.2 ± 8.573.9 ± 8.973.7 ± 8.7< 0.001
100- yrs78.4 ± 11.277.2 ± 9.780.4 ± 8.375.1 ± 7.975.0 ± 8.872.8 ± 9.573.0 ± 9.20.712
p for trend< 0.0010.0110.652< 0.0010.0090.003< 0.001
Category of residence
City79.9 ± 10.677.7 ± 10.080.1 ± 8.575.5 ± 7.375.1 ± 8.972.4 ± 9.272.9 ± 8.6< 0.001
Town78.0 ± 9.680.5 ± 7.876.0 ± 7.575.5 ± 8.373.8 ± 8.374.2 ± 8.5< 0.001
Rural80.2 ± 11.078.0 ± 9.380.7 ± 8.176.4 ± 7.975.8 ± 8.674.5 ± 9.174.4 ± 8.4< 0.001
p for trend0.3210.6840.1120.0190.063< 0.0010.038
Region of China
East81.0 ± 10.578.3 ± 9.880.9 ± 7.977.6 ± 6.576.2 ± 8.074.5 ± 8.974.9 ± 8.6< 0.001
Central80.2 ± 11.277.9 ± 9.080.7 ± 8.675.4 ± 8.775.2 ± 9.473.8 ± 9.274.4 ± 8.6< 0.001
West78.2 ± 11.776.5 ± 9.578.0 ± 7.473.3 ± 7.971.7 ± 9.373.4 ± 8.474.0 ± 7.8< 0.001
p for trend< 0.001< 0.001< 0.001< 0.001< 0.0010.0570.265
Total80.0 ± 10.977.9 ± 9.680.4 ± 8.176.0 ± 7.775.3 ± 8.773.7 ± 8.974.2 ± 8.6< 0.001

*:City and town were combined as one category in 1998 wave

Table 6

MAP levels by seven waves

VariableWave1998200020022005200820112014p
MAPGender
Male105.7 ± 14.9100.4 ± 13.4101.7 ± 12.098.8 ± 11.898.0 ± 12.497.9 ± 13.099.5 ± 13.0< 0.001
Female105.9 ± 15.5100.3 ± 13.9101.7 ± 12.498.0 ± 12.697.8 ± 12.099.2 ± 14.299.6 ± 13.5< 0.001
p0.4050.6950.8350.0010.551< 0.0010.784
Age-group
80–89 yrs107.3 ± 15.0100.8 ± 13.9102.2 ± 12.799.6 ± 12.598.7 ± 12.599.4 ± 13.1100.3 ± 12.7< 0.001
90–99 yrs106.0 ± 15.1100.7 ± 13.9101.8 ± 11.998.3 ± 12.197.8 ± 12.598.8 ± 13.999.2 ± 13.5< 0.001
100- yrs103.3 ± 15.799.0 ± 12.9101.0 ± 11.996.5 ± 12.096.8 ± 11.197.2 ± 14.698.3 ± 14.30.247
p for trend< 0.001< 0.001< 0.001< 0.001< 0.001< 0.001< 0.001
Category of residence
City105.2 ± 14.7100.2 ± 14.5101.2 ± 12.398.0 ± 12.397.5 ± 11.996.0 ± 13.396.2 ± 12.8< 0.001
Town100.3 ± 13.6101.8 ± 12.498.3 ± 12.797.8 ± 12.199.0 ± 13.499.4 ± 12.4< 0.001
Rural106.1 ± 15.6100.6 ± 13.1102.0 ± 12.199.1 ± 12.398.0 ± 12.399.4 ± 14.0100.5 ± 13.7< 0.001
p for trend0.0050.4510.0340.0080.214< 0.001< 0.001
Region of China
East106.5 ± 14.7101.0 ± 13.4101.6 ± 11.799.5 ± 11.598.1 ± 11.698.8 ± 13.3100.6 ± 13.1< 0.001
Central105.7 ± 15.899.9 ± 14.5101.1 ± 12.397.0 ± 13.898.0 ± 13.298.5 ± 14.099.4 ± 13.9< 0.001
West104.1 ± 16.197.3 ± 13.299.1 ± 12.096.0 ± 11.297.6 ± 12.798.2 ± 13.699.0 ± 12.2< 0.001
p for trend< 0.001< 0.001< 0.001< 0.001< 0.0010.4590.020< 0.001
Total105.6 ± 15.2100.2 ± 13.7101.1 ± 12.098.2 ± 12.298.0 ± 12.398.6 ± 13.699.7 ± 13.3< 0.001
MAP among those without hypertensionGender
Male98.8 ± 12.294.1 ± 10.595.9 ± 8.791.2 ± 7.191.1 ± 8.089.8 ± 8.690.7 ± 7.8< 0.001
Female98.7 ± 13.093.7 ± 10.695.3 ± 8.690.1 ± 7.791.1 ± 7.889.3 ± 8.989.8 ± 8.5< 0.001
p0.7320.1070.006< 0.0010.9900.1060.007
Age-group
80–89 yrs100.4 ± 12.394.3 ± 10.895.7 ± 8.791.3 ± 7.391.0 ± 7.790.3 ± 8.291.2 ± 7.5< 0.001
90–99 yrs98.8 ± 12.494.1 ± 10.595.7 ± 8.690.8 ± 7.290.8 ± 7.989.6 ± 8.890.0 ± 8.3< 0.001
100- yrs96.5 ± 13.292.8 ± 10.295.2 ± 8.889.3 ± 7.991.4 ± 7.988.2 ± 9.488.5 ± 9.3< 0.001
p for trend< 0.001< 0.0010.112< 0.0010.099< 0.001< 0.001
Category of residence
City98.7 ± 12.494.0 ± 10.995.5 ± 9.390.0 ± 7.390.9 ± 7.888.4 ± 8.888.9 ± 8.5< 0.001
Town94.0 ± 10.395.5 ± 8.490.6 ± 7.691.2 ± 7.589.5 ± 8.390.3 ± 8.4< 0.001
Rural98.8 ± 12.997.8 ± 10.595.7 ± 8.590.7 ± 7.591.3 ± 8.090.3 ± 8.990.7 ± 8.1< 0.001
p for trend0.8210.7950.7420.0110.340< 0.0010.005
Region of China
East99.5 ± 13.194.6 ± 10.896.0 ± 8.691.8 ± 6.691.9 ± 7.390.3 ± 8.391.1 ± 7.7< 0.001
Central98.9 ± 12.393.2 ± 10.295.8 ± 9.290.4 ± 8.090.4 ± 8.589.7 ± 8.590.2 ± 8.3< 0.001
West96.7 ± 13.292.2 ± 9.693.2 ± 8.088.3 ± 8.188.6 ± 8.388.8 ± 9.290.2 ± 8.4< 0.001
p for trend< 0.001< 0.001< 0.001< 0.001< 0.001< 0.0010.316
Total98.7 ± 12.793.8 ± 10.595.5 ± 8.790.6 ± 7.591.0 ± 7.989.6 ± 8.790.3 ± 8.3< 0.001

*:City and town were combined as one category in 1998 wave

Table 7

PP levels by seven waves

VariableWave1998200020022005200820112014p
PPGender
Male63.4 ± 19.155.6 ± 18.849.6 ± 15.048.9 ± 16.556.3 ± 19.956.0 ± 16.859.1 ± 17.6< 0.001
Female64.4 ± 20.355.9 ± 19.548.8 ± 14.848.5 ± 16.557.4 ± 20.458.4 ± 18.860.6 ± 19.4< 0.001
p0.0210.4270.0120.1950.008< 0.0010.009
Age-group
80–89 yrs65.4 ± 19.956.6 ± 19.649.9 ± 15.349.2 ± 16.559.0 ± 20.358.0 ± 17.060.2 ± 17.8< 0.001
90–99 yrs63.9 ± 19.655.8 ± 19.449.0 ± 15.049.2 ± 17.056.5 ± 20.357.7 ± 18.660.1 ± 19.3< 0.001
100- yrs62.1 ± 19.954.0 ± 18.148.1 ± 14.547.1 ± 15.755.0 ± 20.056.0 ± 19.059.0 ± 19.80.247
p for trend< 0.001< 0.001< 0.001< 0.001< 0.0010.0040.244
Category of residence
City63.6 ± 19.955.1 ± 19.048.5 ± 14.646.9 ± 15.854.0 ± 18.955.8 ± 16.656.3 ± 17.1< 0.001
Town55.5 ± 18.748.8 ± 14.249.1 ± 15.455.8 ± 19.556.5 ± 17.059.8 ± 17.9< 0.001
Rural64.6 ± 19.856.5 ± 19.750.8 ± 16.149.1 ± 17.258.3 ± 20.758.5 ± 19.061.1 ± 19.4< 0.001
p for trend0.0240.008< 0.001< 0.001< 0.001< 0.001< 0.001
Region of China
East64.9 ± 19.556.9 ± 19.049.6 ± 14.453.7 ± 20.363.2 ± 21.660.6 ± 19.061.1 ± 19.5< 0.001
Central63.7 ± 20.053.5 ± 18.549.5 ± 16.147.8 ± 14.256.0 ± 20.953.8 ± 17.058.8 ± 18.0< 0.001
West62.4 ± 20.452.3 ± 18.649.4 ± 15.246.7 ± 14.755.9 ± 19.553.7 ± 14.556.5 ± 16.3< 0.001
p for trend< 0.0010.908< 0.001< 0.001< 0.001< 0.001< 0.001< 0.001
Total64.1 ± 19.855.2 ± 18.949.5 ± 15.048.8 ± 16.657.1 ± 20.557.7 ± 18.159.9 ± 18.8< 0.001
PP among those without hypertensionGender
Male55.4 ± 15.748.2 ± 14.145.7 ± 12.643.8 ± 10.347.4 ± 11.347.7 ± 10.248.8 ± 9.7< 0.001
Female56.0 ± 16.747.8 ± 14.844.9 ± 11.943.4 ± 10.547.2 ± 11.747.1 ± 10.848.2 ± 11.0< 0.001
p0.2090.3770.0060.1890.5430.1270.247
Age-group
80–89 yrs57.2 ± 16.248.6 ± 15.145.9 ± 12.644.2 ± 10.448.2 ± 11.748.1 ± 10.349.0 ± 9.8< 0.001
90–99 yrs55.5 ± 16.148.1 ± 14.745.3 ± 12.343.8 ± 10.346.9 ± 11.447.3 ± 10.448.8 ± 10.9< 0.001
100- yrs54.4 ± 16.146.6 ± 13.044.3 ± 11.542.6 ± 10.446.7 ± 11.546.3 ± 11.046.6 ± 11.00.611
p for trend< 0.001< 0.001< 0.001< 0.001< 0.001< 0.001< 0.001
Category of residence
City55.5 ± 16.347.9 ± 14.344.9 ± 12.042.6 ± 9.646.6 ± 11.447.1 ± 11.047.8 ± 10.1< 0.001
Town48.0 ± 14.145.0 ± 11.843.3 ± 10.547.2 ± 11.647.4 ± 10.048.3 ± 10.5< 0.001
Rural56.3 ± 16.448.0 ± 15.146.3 ± 12.844.0 ± 10.647.5 ± 11.648.1 ± 10.749.0 ± 10.6< 0.001
p for trend0.0120.9600.001< 0.0010.0590.1500.210
Region of China
East56.3 ± 15.949.1 ± 14.645.7 ± 11.442.4 ± 10.247.3 ± 10.749.0 ± 10.648.7 ± 10.4< 0.001
Central55.5 ± 17.345.7 ± 14.245.3 ± 14.345.2 ± 10.045.5 ± 12.344.9 ± 10.648.4 ± 10.2< 0.001
West55.3 ± 16.147.3 ± 13.545.2 ± 11.344.8 ± 11.050.7 ± 13.147.4 ± 9.947.4 ± 10.6< 0.001
p for trend0.190< 0.0010.514< 0.001< 0.001< 0.0010.078
Total55.9 ± 16.347.8 ± 14.445.3 ± 12.243.6 ± 10.447.2 ± 11.747.5 ± 10.648.3 ± 10.4< 0.001

*:City and town were combined as one category in 1998 wave

Table 8

The prevalence (%) of ISH by seven waves

Wave1998200020022005200820112014p
Gender
 Male30.6(29.0–32.1)24.8(23.6–26.1)15.3(14.2–16.3)15.0(13.9–16.1)26.5(25.2–27.8)50.1(48.1–52.1)29.0(26.9–31.0)< 0.001
 Female30.5(29.2–31.7)25.2(24.1–26.3)13.7(12.9–14.6)13.8(13.0–14.7)28.2(27.1–29.3)23.5(21.9–25.2)31.9(30.1–33.6)< 0.001
 p0.9300.6690.0250.1000.054< 0.0010.036
Age-group
 80–89 yrs31.3(29.7–32.8)25.1(23.9–26.3)15.1(14.0–16.1)15.6(14.4–16.7)30.4(29.0–31.8)26.2(24.5–27.9)30.8(28.832.7)< 0.001
 90–99 yrs30.1(28.5–31.8)25.6(24.2–27.0)14.2(13.1–15.3)14.8(13.7–15.9)24.0(26.0–28.7)27.1(25.4–28.9)30.5(28.2–32.7)< 0.001
 100- yrs30.0(28.1–31.8)24.1(22.3–25.8)13.5(12.3–14.7)11.7(10.5–12.9)23.4(22.4–25.5)23.3(21.0–25.5)30.7(27.6–33.9)< 0.001
 p for trend0.2690.4910.043< 0.001< 0.0010.0980.941
Category of residence
 City29.1(27.9–30.3)22.8(21.4–24.3)13.5(12.7–14.4)11.6(10.3–13.0)23.0(21.3–24.7)22.4(19.9–24.9)26.9(23.4–30.4)< 0.001
 Town25.0(23.5–26.4)14.2(12.9–15.6)14.6(13.7–15.5)26.2(24.4–28.1)24.2(22.3–26.1)31.4(29.6–33.2)< 0.001
 Rural33.0(31.4–34.6)26.9(25.6–28.3)16.2(14.8–17.6)15.8(14.4–17.2)29.5(28.4–30.6)28.0(26.5–29.5)30.9(28.5–33.3)< 0.001
 p for trend< 0.001< 0.0010.005< 0.001< 0.001< 0.0010.084
Region of China
 East32.4(31.3–33.8)27.1(25.9–28.2)16.1(14.7–17.5)21.1(19.5–22.6)31.0(29.9–32.1)31.7(30.1–33.2)32.4(30.5–34.2)< 0.001
 Central30.3(27.9–32.8)19.4(17.9–20.9)14.9(14.0–15.8)14.1(12.4–15.7)27.9(26.3–29.4)20.7(18.8–22.6)28.7(26.2–31.1)< 0.001
 West27.5(25.5–29.6)19.2(17.2–21.2)14.1(12.4–15.8)11.4(10.4–12.2)20.3(18.0–22.6)17.0(14.5–19.6)26.3(22.4–30.2)< 0.001
 p for trend< 0.001< 0.0010.153< 0.001< 0.001< 0.0010.002
Total30.5(29.6–31.5)25.1(24.2–25.9)14.3(13.7–15.0)14.3(13.6–14.9)27.5(26.7–28.4)25.9(24.8–27.0)30.7(29.3–32.0)< 0.001
Weighted Total30.5(29.5–31.4)26.6(25.8–27.4)14.0(12.7–15.4)14.8(13.4–16.2)30.2(28.4–32.0)23.7(21.9–25.6)30.1(27.9–32.2)< 0.001
Weighted Total31.2(30.2–32.1)25.2(24.4–26.0)14.9(14.2–15.6)15.4(14.7–16.1)30.1(29.3–31.0)26.5(25.4–27.5)30.9(29.6–32.2)< 0.001

*:City and town were combined as one category in 1998 wave

†: Weight was calculated based on age-sex-residence-specific distribution from the CLHLS study

‡: Weight was calculated based on the sixth national census data

Table 9

BP levels by seven waves among those who were first included in each survey wave

Variable1998200020022005200820112014p
mean ± SD
 SBP148.5 ± 24.5137.6 ± 21.8133.3 ± 16.3130.6 ± 18.7136.3 ± 21.0139.6 ± 22.6142.2 ± 22.2< 0.001
 DBP84.4 ± 13.581.8 ± 12.985.4 ± 11.782.1 ± 12.179.0 ± 11.379.7 ± 11.879.6 ± 12.2< 0.001
 MAP64.0 ± 19.955.8 ± 19.247.9 ± 13.948.6 ± 16.457.4 ± 20.259.9 ± 19.062.6 ± 18.7< 0.001
 PP105.8 ± 15.3100.4 ± 13.7101.4 ± 11.698.2 ± 12.398.1 ± 11.999.7 ± 13.5100.5 ± 13.6< 0.001
%
 Prevalence43.1(42.0–44.1)43.6(42.7–44.6)41.2(39.4–42.9)47.1(46.1–48.1)46.4(45.3–47.6)58.8(56.5–61.0)62.3(59.7–64.9)< 0.001
  19 in total

1.  Prevalence, awareness, treatment, and control of hypertension in china.

Authors:  Dongfeng Gu; Kristi Reynolds; Xigui Wu; Jing Chen; Xiufang Duan; Paul Muntner; Guanyong Huang; Robert F Reynolds; Shaoyong Su; Paul K Whelton; Jiang He
Journal:  Hypertension       Date:  2002-12       Impact factor: 10.190

2.  Protective effects of estrogen on gender-specific development of diet-induced hypertension.

Authors:  C K Roberts; N D Vaziri; R J Barnard
Journal:  J Appl Physiol (1985)       Date:  2001-11

3.  Association between awareness of harmful effects of smoking and smoking cessation advice provided by hospital chest physicians in Guangzhou, China: a multi-institutional cross-sectional survey.

Authors:  Yan Tang; Mei Jiang; De-Rong Li; Wei-Jie Guan; Yi-Hua Liang; Shi-Yue Li; Jin-Ping Zheng; Rong-Chang Chen; Nan-Shan Zhong
Journal:  Respirology       Date:  2013-07       Impact factor: 6.424

4.  The prevalence of isolated systolic hypertension in adult populations from the Han, Uygur and Kazakh ethnic groups in Xinjiang, China.

Authors:  Fen Liu; Yi-Tong Ma; Yi-Ning Yang; Yu-Jian Zhen; Xiang Xie; Xiao-Mei Li; Xiang Ma; Bang-Dang Chen; Ying Huang; Chun-Fang Shan; Xiao-Ming Gao
Journal:  Blood Press       Date:  2013-09-26       Impact factor: 2.835

5.  Trends in prevalence, awareness, treatment and control of hypertension in the middle-aged population of China, 1992-1998.

Authors:  Zengwu Wang; Yangfeng Wu; Liancheng Zhao; Ying Li; Jun Yang; Beifan Zhou
Journal:  Hypertens Res       Date:  2004-10       Impact factor: 3.872

6.  Risks of untreated and treated isolated systolic hypertension in the elderly: meta-analysis of outcome trials.

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Journal:  Lancet       Date:  2000-03-11       Impact factor: 79.321

Review 7.  The intrarenal renin-angiotensin system: from physiology to the pathobiology of hypertension and kidney disease.

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Journal:  Circ J       Date:  2009-07-14       Impact factor: 2.993

9.  Single versus combined blood pressure components and risk for cardiovascular disease: the Framingham Heart Study.

Authors:  Stanley S Franklin; Victor A Lopez; Nathan D Wong; Gary F Mitchell; Martin G Larson; Ramachandran S Vasan; Daniel Levy
Journal:  Circulation       Date:  2008-12-31       Impact factor: 29.690

10.  Joint statement of the European Association for the Study of Obesity and the European Society of Hypertension: obesity and difficult to treat arterial hypertension.

Authors:  Jens Jordan; Volkan Yumuk; Markus Schlaich; Peter M Nilsson; Barbara Zahorska-Markiewicz; Guido Grassi; Roland E Schmieder; Stefan Engeli; Nick Finer
Journal:  J Hypertens       Date:  2012-06       Impact factor: 4.844

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1.  Spatiotemporal Analysis of the Prevalence and Pattern of Multimorbidity in Older Chinese Adults.

Authors:  Shimin Chen; Shengshu Wang; Wangping Jia; Ke Han; Yang Song; Shaohua Liu; Xuehang Li; Miao Liu; Yao He
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