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Heterogeneity in Trajectories of Systolic Blood Pressure among Young Adults in Qingdao Port Cardiovascular Health Study Cover

Heterogeneity in Trajectories of Systolic Blood Pressure among Young Adults in Qingdao Port Cardiovascular Health Study

Open Access
|Mar 2020

Figures & Tables

Table 1

Sample baseline characteristics.

Baseline VariableAll (N = 12468)Stratum 1 (N = 5257)Stratum 2 (N = 5861)Stratum 3 (N = 1350)p-value
Age (year)26.4 (4.7)26.0 (4.6)26.7 (4.7)26.2 (4.9)<0.0001
Male %83.770.992.297.1<0.0001
High school graduation %38.841.338.530.4<0.0001
Married %26.426.326.726.00.874
Family history of CVD %19.118.019.824.4<0.0001
BMI23.1 (3.7)21.8 (3.2)23.7 (3.5)25.5 (4.1)<0.0001
Waist circumference (inch)31.4 (4.8)29.8 (3.6)29.8 (3.6)29.8 (3.6)<0.0001
High fruit/vegetable intake %17.918.118.216.00.284
SBP116.2 (13.4)104.1 (6.6)121.3 (5.1)140.7 (8.9)<0.0001
DBP75.3 (9.8)69.4 (7.1)77.9 (7.8)86.5 (11.3)<0.0001
PP40.9 (9.8)34.7 (6.7)43.3 (7.5)54.2 (10.5)<0.0001
Smoking %29.725.832.632.7<0.0001
Having diabetes %0.100.040.120.300.0122
Having hyperlipidemia %20.414.422.833.6<0.0001
Having heart disease %0.170.040.190.59<0.0001
Anti-hypertensive medication0.460.020.263.04<0.0001

[i] * Continuous variables are presented as Mean (Standard Deviation).

Categorical variables are presented as proportion.

Figure 1

Trajectories of SBP Groups in Three Strata.

Figure 2

Sex-Specific Trajectories of SBP Groups in Three Strata.

Table 2

Association of participants’ baseline characteristics with the distinct SBP groups.

Patient baseline characteristicsGroup 1Group 2Group 3Group 4Group 5Bivariate p-valueAdjusted p-valueAdjusted OR
Number of individuals4061536253668396
Age (year)25.926.025.826.325.80.7160.00021.14**
Male sex %23.458.278.795.295.8<0.0001<0.00015.18    
High school graduation %65.551.233.038.022.9<0.0001<0.00010.50    
Married %40.630.721.924.919.8<0.00010.4990.94    
Family history of CVD %23.717.616.620.222.90.5800.01131.33    
BMI20.021.222.023.324.5<0.0001<0.00011.14    
Waist circumference (inch)26.728.630.331.833.0<0.0001<0.00011.18    
High fruit/vegetable intake %36.226.318.320.512.5<0.00010.4571.06    
Baseline SBP (mmHg)95.3101.8105.8107.5108.2<0.0001<0.00012.03**
Smoking %7.123.728.432.224.0<0.00010.06620.88    
Having hyperlipidemia %8.610.715.121.830.2<0.00010.01011.68    
Having heart disease %000.08000.6510.7031.68    
Having diabetes %000.08000.6510.5342.31    
Anti-hypertensive medication000.04000.7490.9730.94    
Number of Individuals28425382343531165
Age (year)26.726.326.727.927.2<0.0001<0.00011.13**
Male sex %76.489.994.997.997.0<0.0001<0.00013.22    
High school graduation %73.236.135.148.033.90.0028<0.00010.65    
Married %41.223.025.739.429.70.00100.00131.29    
Family history of CVD %21.416.420.629.427.3<0.0001<0.00011.52    
BMI21.623.024.225.325.4<0.0001<0.00011.14    
Waist circumference (inch)29.531.432.734.034.1<0.0001<0.00011.12    
High fruit/vegetable intake %44.020.721.228.416.30.01080.01820.84    
Baseline SBP117.4119.0123.1124.8125.7<0.0001<0.00012.69**
Smoking %30.630.033.342.235.8<0.00010.3391.06    
Having hyperlipidemia %15.818.324.934.338.2<0.0001<0.00011.64    
Having heart disease %00.240.130.190.610.9580.9360.96    
Having diabetes %00.080.130.3800.1920.3232.01    
Anti-hypertensive medication00.120.340.7500.02480.04092.68    
Number of Individuals1569321436455
Age (year)27.626.629.029.727.7<0.00010.03801.16**
Male sex %98.796.599.398.496.40.7820.6361.17    
High school graduation %55.122.543.468.814.50.7880.00050.58    
Married %40.418.142.770.323.60.00020.01961.53    
Family history of CVD %32.118.139.254.734.6<0.00010.00021.721    
BMI24.725.326.726.727.6<0.0001<0.00011.08    
Waist circumference (inch)33.033.935.635.335.7<0.0001<0.00011.08    
High fruit/vegetable intake %39.712.730.148.420.00.2670.8711.03    
Baseline SBP137.3138.9143.7149.4163.6<0.0001<0.00011.05**
Smoking %38.528.839.259.434.50.02850.6691.06    
Having hyperlipidemia %35.328.850.356.240.0<0.00010.00771.41    
Having heart disease %0.640.431.4001.820.3390.3212.04    
Having diabetes %00.3201.5600.5050.7671.35    
Anti-hypertensive medication1.92.44.24.712.70.00060.00382.47    

[i] ** Adjusted odds ratio (OR) for baseline age and baseline SBP was calculated based on 5 year and 5 mmHg increment, respectively.

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DOI: https://doi.org/10.5334/gh.764 | Journal eISSN: 2211-8179
Language: English
Submitted on: Dec 8, 2019
Accepted on: Jan 28, 2020
Published on: Mar 2, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Haiqun Lin, Meiping Cui, Erica S. Spatz, Yongfei Wang, Jiapeng Lu, Jing Li, Shuxia Li, Chenxi Huang, Xiancheng Liu, Lixin Jiang, Harlan M. Krumholz, Xiao Xu, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.