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Comparison of Hypertension in Migrant and Local Patients with Atherosclerotic Diseases: A Cross-Sectional Study in Shanghai, China Cover

Comparison of Hypertension in Migrant and Local Patients with Atherosclerotic Diseases: A Cross-Sectional Study in Shanghai, China

Open Access
|Feb 2020

Figures & Tables

Table 1

Characteristics of migrant and local participants, n (%).

Overall (n = 6972)Migrants (n = 1412)Local patients (n = 5560)P value
Age*0.000
    21–35395(5.7)163(11.5)232(4.2)
    36–501,549(22.2)576(40.8)973(17.5)
    51–655,028(72.1)673(47.7)4,355(78.3)
Gender0.298
    Male3,808(54.6)859(60.8)2949(53.0)
    Female3,164(45.4)553(39.2)2611(47.0)
Marital status0.098
    Married6,417(92.0)1315(93.1)5102(91.8)
    Unmarried (Widowed, divorced, or single)555(8.0)97(6.9)458(8.2)
Diabetes*0.000
    With1532(22.0)215(15.2)1,317(23.7)
    Without5,440(78.0)1,197(84.8)4,243(76.3)
Insurance*0.000
    Employment insurance4,671(67.0)482(34.1)4,189(75.3)
    Resident insurance713(10.2)47(3.3)666(12.0)
    Uninsured1290(18.5)859(60.8)431(7.8)
    Other298(4.3)24(1.7)274(4.9)
Frequency of hospitalization*0.001
    Once5,712(81.9)1,201(85.1)4,511(81.1)
    More than once1260(18.1)211(14.9)1,049(18.9)

[i] * p < 0.01.

agh-86-1-2635-g1.png
Figure 1

Incidence of atherosclerotic complications in migrant and local groups.

Table 2

Differences in risk factors of atherosclerotic complications among migrant and local populations.

Stroke (n = 1610)Coronary heart disease (n = 772)Other atherosclerotic diseases (n = 557)
Migrant (n = 218)Local (n = 1392)P valueMigrant (n = 122)Local (n = 650)P valueMigrant (n = 120)Local (n = 437)P value
Age0.0000.0000.000
    21–3511(5.0)14(1.0)10(8.2)5(0.8)6(5.0)7(1.6)
    36–5079(36.2)157(11.3)25(20.5)56(8.6)37(30.8)60(13.7)
    51–65128(58.7)1221(87.1)87(71.3)589(90.6)77(64.2)370(84.7)
Gender0.8260.0000.179
    Male137(62.8)864(62.1)91(74.6)351(54.0)73(60.8)235(53.8)
    Female81(37.2)528(37.9)31(25.4)299(46.0)47(39.2)202(46.2)
Marital status0.6260.2560.650
    Married199(91.3)1251(89.9)116(95.1)599(92.2)115(95.8)413(94.5)
    Unmarried (Widowed, divorced, or single)19(8.7)141(10.1)6(4.9)51(7.8)5(4.2)24(5.5)
Diabetes0.0020.0120.020
    With39(17.9)390(28.0)29(23.8)231(35.5)18(15.0)111(25.4)
    Without179(82.1)1002(72.0)93(76.2)419(64.5)102(85.0)326(74.6)
Insurance0.0000.0000.000
    Employment insurance79(36.2)1043(74.9)46(37.7)497(76.5)30(25.0)323(73.9)
    Resident insurance3(1.4)132(9.5)2(1.6)79(12.2)4(3.3)73(16.7)
    Uninsured135(61.9)152(10.9)74(60.7)38(5.8)86(71.7)18(4.1)
    Other1(0.5)65(4.7)38(5.8)36(5.5)0(0.0)23(5.3)
Frequency of hospitalization0.0180.7340.155
    Once183(83.9)1070(76.9)86(70.5)468(72.0)102(85.0)344(78.7)
    More than once35(16.1)322(23.1)36(29.5)182(28.0)18(15.0)93(21.3)

[i] * p < 0.05.

Table 3

Logistic regression analysis of risk factors in migrant and local patients with hypertension.

Atherosclerotic diseasesVariablesMigrant hypertension patientsLocal hypertension patients
OR95%CIPOR95%CIP
StrokeAge (year)21–351.000Reference1.000Reference
36–502.4761.273–4.8140.0083.1991.809–5.6580.000
51–653.8992.010–7.5620.0007.0314.061–12.1720.000
GenderMale1.000Reference1.000Reference
Female0.8270.599–1.1400.2460.5800.515–0.6650.000
Marital statusMarried1.000Reference1.000Reference
Unmarried1.4650.840–2.5540.1791.4541.170–1.8070.001
DiabetesWithout1.000Reference1.000Reference
With1.0490.704–1.5650.8141.2921.121–1.4890.000
InsuranceEmployment insurance1.000Reference1.000Reference
Resident insurance0.3090.093–1.0320.0560.7330.596–0.9010.003
Uninsured0.8470.602–1.1930.3431.7651.419–2.1940.000
Other0.1620.021–1.2380.0790.9730.726–1.3050.857
Frequency of hospitalizationOnce1.000Reference1.000Reference
More than once1.0230.675–1.5500.9151.3911.194–1.6210.000
CHDAge (year)21–351.000Reference1.000Reference
36–500.8180.380–1.7630.6092.6421.044–6.6860.040
51–653.0891.512–6.3090.0026.53015.9530.000
GenderMale1.000Reference1.000Reference
Female0.4210.267–0.6640.0000.8690.734–1.0290.104
Marital statusMarried1.000Reference1.000Reference
Unmarried0.5300.217–1.2920.1621.0030.735–1.3670.987
DiabetesWithout1.000Reference1.000Reference
With1.1650.717–1.8920.5371.7871.497–2.1320.000
InsuranceEmployment insurance1.000Reference1.000Reference
Resident insurance0.3830.087–1.6780.2030.9300.719–1.2030.580
Uninsured0.8600.552–1.3390.5040.7900.555–1.1230.189
Other0.0000.000–0.9981.1510.796–1.6640.455
Frequency of hospitalizationOnce1.000Reference1.000Reference
More than once2.2381.420–3.5270.0011.6151.335–1.9540.000
Other atherosclerotic diseasesAge (year)21–351.000Reference1.000Reference
36–501.8030.741–4.3890.1941.9860.894–4.4110.092
51–653.3531.400–8.0280.0072.7281.272–5.8520.010
GenderMale1.000Reference1.000Reference
Female0.7420.493–1.1160.1510.8770.719–1.0710.197
Marital statusMarried1.000Reference1.000Reference
Unmarried0.6960.270–1.7940.4540.6410.419–0.9820.041
DiabetesWithout1.000Reference1.000Reference
With0.8350.485–1.4370.5141.0620.846–1.3320.606
InsuranceEmployment insurance1.000Reference1.000Reference
Resident insurance1.1710.388–3.5330.7801.4231.086–1.8650.011
Uninsured1.4150.881–2.2720.1510.5170.318–0.8430.008
Other0.0000.000–0.9981.1030.708–1.7180.666
Frequency of hospitalizationOn Once1.000Reference1.000Reference
More than once1.0580.613–1.8270.8391.0950.860–1.3960.461

[i] Abbreviations: OR, odds ratio; CI, confidence interval; CHD, coronary heart disease.

DOI: https://doi.org/10.5334/aogh.2635 | Journal eISSN: 2214-9996
Language: English
Published on: Feb 28, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Xin Gong, Jianwei Shi, Jiaoling Huang, Wenya Yu, Xiaojie Bo, Kangjie Xu, Ning Chen, Qian Liu, Chen Chen, Zhaoxin Wang, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.