| Literature DB >> 33289843 |
Shiwani Mahajan1,2, Fang Feng3, Shuang Hu3, Yuan Lu1,2, Aakriti Gupta1,2, Karthik Murugiah1,2, Yan Gao3, Jiapeng Lu3, Jiamin Liu3, Xin Zheng3, Erica S Spatz1,2, Haibo Zhang3, Harlan M Krumholz1,2, Jing Li3.
Abstract
Importance: Isolated systolic hypertension (ISH) is increasing in prevalence among young and middle-aged adults. However, most studies of ISH are limited to older individuals, and a substantial knowledge gap exists regarding younger adults with ISH. Objective: To assess the prevalence, awareness, and characteristics of ISH among younger and middle-aged adults in China. Design, Setting, and Participants: This cross-sectional study was performed as part of the China Patient-Centered Evaluative Assessment of Cardiac Events Million Persons Project, which enrolled 3.1 million community residents aged 35 to 75 years from all of the 31 provinces in China between December 15, 2014, and May 15, 2019. The present analysis included only participants younger than 50 years. Data were analyzed from May to November 2019. Main Outcomes and Measures: Prevalence and awareness of ISH (defined as systolic blood pressure of 140 mm Hg or higher and diastolic blood pressure of less than 90 mm Hg) and individual characteristics of participants with ISH.Entities:
Year: 2020 PMID: 33289843 PMCID: PMC7724558 DOI: 10.1001/jamanetworkopen.2020.9743
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Characteristics of 898 929 Young and Middle-Aged Adults With and Without Isolated Systolic Hypertension
| Characteristic | Participants, No. (%) | ||||
|---|---|---|---|---|---|
| Normotension | Hypertension | ||||
| ISH | IDH | SDH | Controlled | ||
| Total participants | 663 791 (73.8) | 62 819 (7.0) | 35 448 (3.9) | 116 682 (13.0) | 20 189 (2.3) |
| Age range, y | |||||
| 35-39 | 129 083 (19.5) | 5455 (8.7) | 5465 (15.4) | 12 228 (10.5) | 1663 (8.2) |
| 40-44 | 234 368 (35.3) | 17 705 (28.2) | 12 035 (34.0) | 34 876 (29.9) | 5291 (26.2) |
| 45-49 | 300 340 (45.3) | 39 659 (63.1) | 17 948 (50.6) | 69 578 (59.6) | 13 235 (65.6) |
| Sex | |||||
| Male | 240 027 (36.2) | 21 402 (34.1) | 21 355 (60.2) | 58 558 (50.2) | 8930 (44.2) |
| Female | 423 764 (63.9) | 41 417 (65.9) | 14 093 (39.8) | 58 124 (49.8) | 11 259 (55.8) |
| Urbanity of residence | |||||
| Urban | 278 786 (42.0) | 22 471 (35.8) | 13 062 (36.8) | 43 221 (37.0) | 8153 (40.4) |
| Rural | 383 932 (57.8) | 40 229 (64.0) | 22 310 (62.9) | 73 258 (62.8) | 11 995 (59.4) |
| Unknown | 1073 (0.2) | 119 (0.2) | 76 (0.2) | 203 (0.2) | 41 (0.2) |
| Geographic region of residence | |||||
| Eastern | 229 657 (34.6) | 26 249 (41.8) | 11 774 (33.2) | 42 887 (36.8) | 8227 (40.7) |
| Central | 177 127 (26.7) | 16 544 (26.3) | 9613 (27.1) | 32 362 (27.7) | 5488 (27.2) |
| Western | 256 823 (38.7) | 20 022 (31.9) | 14 059 (39.7) | 41 408 (35.5) | 6473 (32.1) |
| Unknown | 184 (0.03) | 4 (0.006) | 2 (0.006) | 25 (0.02) | 1 (0.006) |
| Educational level | |||||
| ≤Primary school | 186 939 (28.2) | 21 978 (35.0) | 9686 (27.3) | 35 024 (30.0) | 5685 (28.2) |
| Middle school | 244 910 (36.9) | 24 860 (39.6) | 13 494 (38.1) | 44 633 (38.3) | 7679 (38.0) |
| High school | 119 659 (18.0) | 9222 (14.7) | 6203 (17.5) | 19 636 (16.8) | 3377 (16.7) |
| ≥College | 102 738 (15.5) | 5907 (9.4) | 5640 (15.9) | 15 617 (13.4) | 3294 (16.3) |
| Unknown | 9545 (1.4) | 852 (1.4) | 425 (1.2) | 1772 (1.5) | 154 (0.8) |
| Employment status | |||||
| Employed | 591 174 (89.1) | 55 624 (88.5) | 32 031 (90.4) | 103 809 (89.0) | 17 349 (85.9) |
| Unemployed | 11 393 (1.7) | 1072 (1.7) | 753 (2.1) | 2603 (2.2) | 573 (2.8) |
| Retired | 8702 (1.3) | 1002 (1.6) | 345 (1.0) | 1532 (1.3) | 442 (2.2) |
| Homemaker | 39 293 (5.9) | 4073 (6.5) | 1667 (4.7) | 6299 (5.4) | 1455 (7.2) |
| Unknown | 13 229 (2.0) | 1048 (1.7) | 652 (1.8) | 2439 (2.1) | 370 (1.8) |
| Occupation | |||||
| Farming | 276 252 (41.6) | 31 355 (49.9) | 15 377 (43.4) | 52 730 (45.2) | 7885 (39.1) |
| Nonfarming | 374 310 (56.4) | 30 416 (48.4) | 19 419 (54.8) | 61 513 (52.7) | 11 934 (59.1) |
| Unknown | 13 229 (2.0) | 1048 (1.7) | 652 (1.8) | 2439 (2.1) | 370 (1.8) |
| Annual household income, yuan | |||||
| <10 000 | 95 939 (14.5) | 9785 (15.6) | 5273 (14.9) | 17 758 (15.2) | 2518 (12.5) |
| 10 000-50 000 | 362 481 (54.6) | 35 645 (56.7) | 19 404 (54.7) | 64 746 (55.5) | 10 670 (52.9) |
| >50 000 | 142 499 (21.5) | 11 413 (18.2) | 7729 (21.8) | 23 527 (20.2) | 5150 (25.5) |
| Unknown | 62 872 (9.5) | 5976 (9.5) | 3042 (8.6) | 10 651 (9.1) | 1851 (9.2) |
| Marital status | |||||
| Married | 637 608 (96.1) | 60 357 (96.1) | 33 930 (95.7) | 111 512 (95.6) | 19 308 (95.6) |
| Widowed, separated, divorced, or single | 18 460 (2.8) | 1816 (2.9) | 1165 (3.3) | 3683 (3.2) | 707 (3.5) |
| Unknown | 7723 (1.2) | 646 (1.0) | 353 (1.0) | 1487 (1.3) | 174 (0.9) |
| Health insurance status | |||||
| Insured | 646 926 (97.5) | 61 592 (98.0) | 34 586 (97.6) | 113 772 (97.5) | 19 788 (98.0) |
| Uninsured | 6096 (0.9) | 495 (0.8) | 312 (0.9) | 1008 (0.9) | 157 (0.8) |
| Unknown | 10 978 (1.7) | 744 (1.2) | 561 (1.6) | 1938 (1.7) | 244 (1.2) |
| Medical history | |||||
| Myocardial infarction | 1344 (0.2) | 234 (0.4) | 144 (0.4) | 625 (0.5) | 338 (1.7) |
| Stroke | 1993 (0.3) | 607 (1.0) | 378 (1.1) | 1906 (1.6) | 679 (3.4) |
| Diabetes | 47 632 (7.2) | 8498 (13.5) | 5024 (14.2) | 19 638 (16.8) | 4068 (20.1) |
| Cardiovascular risk factors | |||||
| Current smoking | 118 126 (17.8) | 10 742 (17.1) | 11 029 (31.1) | 30 759 (26.4) | 4876 (24.2) |
| Current alcohol use | 97 917 (14.8) | 10 355 (16.5) | 10 834 (30.6) | 32 105 (27.5) | 4297 (21.3) |
| Obesity | 70 161 (10.6) | 13 213 (21.0) | 9617 (27.1) | 36 293 (31.1) | 5771 (28.6) |
Abbreviations: IDH, isolated diastolic hypertension; ISH, isolated systolic hypertension; SDH, systolic-diastolic hypertension.
The average conversion rate in 2019 was 6.91 yuan to $1.00.
Prevalence of Isolated Systolic Hypertension Among Young and Middle-Aged Adults With Hypertension by Individual Characteristics
| Characteristic | All participants with hypertension, No. | Participants with ISH | Participants without ISH | ||
|---|---|---|---|---|---|
| No./total No. (%) | 95% CI | No./total No. (%) | 95% CI | ||
| Total participants | 235 138 | 62 819/235 138 (26.7) | 26.5-26.9 | 172 319/235 138 (73.3) | 73.1-73.5 |
| Age range, y | |||||
| 35-39 | 24 811 | 5455/24 811 (22.0) | 21.5-22.5 | 19 356/24 811 (78.0) | 77.5-78.5 |
| 40-44 | 69 907 | 17 705/69 907 (25.3) | 25.0-25.7 | 52 202/69 907 (74.7) | 74.4-75.0 |
| 45-49 | 140 420 | 39 659/140 420 (28.2) | 28.0-28.5 | 100 761/140 420 (71.8) | 71.5-72.0 |
| Sex | |||||
| Male | 110 245 | 21 402/110 245 (19.4) | 19.2-19.7 | 88 843/110 245 (80.6) | 80.4-80.8 |
| Female | 124 893 | 41 417/124 893 (33.2) | 32.9-33.4 | 83 476/124 893 (66.8) | 66.6-67.1 |
| Urbanity of residence | |||||
| Urban | 86 907 | 22 471/86 907 (25.9) | 25.6-26.2 | 64 436/86 907 (74.1) | 73.9-74.4 |
| Rural | 147 792 | 40 229/147 792 (27.2) | 27.0-27.5 | 107 563/147 792 (72.8) | 72.6-73.0 |
| Unknown | 439 | 119/439 (27.1) | 23.0-31.3 | 320/439 (72.9) | 68.7-77.1 |
| Geographic region of residence | |||||
| Eastern | 89 137 | 26 249/89 137 (29.4) | 29.2-29.8 | 62 888/89 137 (70.6) | 70.3-70.9 |
| Central | 64 007 | 16 544/64 007 (25.8) | 25.5-26.2 | 47 463/64 007 (74.2) | 73.8-74.5 |
| Western | 81 962 | 20 022/81 962 (24.4) | 24.1-24.7 | 61 940/81 962 (75.6) | 75.3-75.9 |
| Unknown | 32 | 4/32 (12.5) | 1.0-24.0 | 28/32 (87.5) | 76.0-99.0 |
| Educational level | |||||
| ≤Primary school | 72 373 | 21 978/72 373 (30.4) | 30.0-30.7 | 50 395/72 373 (69.6) | 69.3-70.0 |
| Middle school | 90 666 | 24 860/90 666 (27.4) | 27.1-27.7 | 65 806/90 666 (72.6) | 72.3-72.9 |
| High school | 38 438 | 9222/38 438 (24.0) | 23.6-24.4 | 29 216/38 438 (76.0) | 75.6-76.4 |
| ≥College | 30 458 | 5907/30 458 (19.4) | 19.0-19.8 | 24 551/30 458 (80.6) | 80.2-81.1 |
| Unknown | 3203 | 852/3203 (26.6) | 25.1-28.1 | 2351/3203 (73.4) | 71.9-74.9 |
| Employment status | |||||
| Employed | 208 813 | 55 624/208 813 (26.6) | 26.5-26.8 | 153 189/208 813 (73.4) | 73.2-73.6 |
| Unemployed | 5001 | 1072/5001 (21.4) | 20.3-22.6 | 3929/5001 (78.6) | 77.4-79.7 |
| Retired | 3321 | 1002/3321 (30.2) | 28.6-31.7 | 2319/3321 (69.8) | 68.3-71.4 |
| Homemaker | 13 494 | 4073/13 494 (30.2) | 29.4-31.0 | 9421/13 494 (69.8) | 69.0-70.6 |
| Unknown | 4509 | 1048/4509 (23.2) | 22.0-24.5 | 3461/4509 (76.8) | 75.5-78.0 |
| Occupation | |||||
| Farming | 107 347 | 31 355/107 347 (29.2) | 28.9-29.5 | 75 992/107 347 (70.8) | 70.5-71.1 |
| Nonfarming | 123 282 | 30 416/123 282 (24.7) | 24.4-24.9 | 92 866/123 282 (75.3) | 75.1-75.6 |
| Unknown | 4509 | 1048/4509 (23.2) | 22.0-24.5 | 3461/4509 (76.8) | 75.5-78.0 |
| Annual household income, yuan | |||||
| <10 000 | 35 334 | 9785/35 334 (27.7) | 27.2-28.2 | 25 549/35 334 (72.3) | 71.8-72.8 |
| 10 000-50 000 | 130 465 | 35 645/130 465 (27.3) | 27.1-27.6 | 94 820/130 465 (72.7) | 72.4-72.9 |
| >50 000 | 47 819 | 11 413/47 819 (23.9) | 23.5-24.3 | 36 406/47 819 (76.1) | 75.8-76.5 |
| Unknown | 21 520 | 5976/21 520 (27.8) | 27.2-28.4 | 15 544/21 520 (72.2) | 71.6-72.8 |
| Marital status | |||||
| Married | 225 107 | 60 357/225 107 (26.8) | 26.6-27.0 | 164 750/225 107 (73.2) | 73.0-73.4 |
| Widowed, separated, divorced, or single | 7371 | 1816/7371 (24.6) | 23.7-25.6 | 5555/7371 (75.4) | 74.4-76.4 |
| Unknown | 2660 | 646/2660 (24.3) | 22.7-25.9 | 2014/2660 (75.7) | 74.1-77.3 |
| Health insurance status | |||||
| Insured | 229 738 | 61 592/229 738 (26.8) | 26.6-27.0 | 168 146/229 738 (73.2) | 73.0-73.4 |
| Uninsured | 1913 | 483/1913 (25.3) | 23.3-27.2 | 1430/1913 (74.8) | 72.8-76.7 |
| Unknown | 3487 | 744/3487 (21.3) | 20.0-22.7 | 2743/3487 (78.7) | 77.3-80.0 |
| Medical history | |||||
| Myocardial infarction | 1341 | 234/1341 (17.4) | 15.4-19.5 | 1107/1341 (82.6) | 80.5-84.6 |
| Stroke | 3570 | 607/3570 (17.0) | 15.8-18.2 | 2963/3570 (83.0) | 81.8-84.2 |
| Diabetes | 37 228 | 8498/37 228 (22.8) | 22.4-23.3 | 28 730/37 228 (77.2) | 76.8-77.6 |
| Cardiovascular risk factors | |||||
| Current smoking | 57 406 | 10 742/57 406 (18.7) | 18.4-19.0 | 46 664/57 406 (81.3) | 81.0-81.6 |
| Current alcohol use | 57 591 | 10 355/57 591 (18.0) | 17.7-18.3 | 47 236/57 591 (82.0) | 81.7-82.3 |
| Obesity | 64 894 | 13 213/64 894 (20.4) | 20.1-20.7 | 51 681/64 894 (79.6) | 79.3-80.0 |
Abbreviation: ISH, isolated systolic hypertension.
The average conversion rate in 2019 was 6.91 yuan to $1.00.
Figure 1. Distribution of Systolic Blood Pressure (SBP) Among Participants With Isolated Systolic Hypertension Across Age Groups
Mixed-Effects Multivariable Regression Models
| Characteristic | Odds ratio (95% CI) | |||
|---|---|---|---|---|
| Prevalence of ISH among participants with untreated hypertension | Awareness of ISH among participants with untreated ISH | |||
| Model 1: ISH vs normotension | Model 2: ISH vs IDH | Model 3: ISH vs SDH | ||
| Age | ||||
| Per 5 y | 1.72 (1.70-1.74) | 1.39 (1.37-1.42) | 1.07 (1.06-1.09) | 1.22 (1.16-1.28) |
| Sex | ||||
| Male | 1 [Reference] | 1 [Reference] | 1 [Reference] | 1 [Reference] |
| Female | 1.14 (1.12-1.17) | 2.41 (2.33-2.49) | 1.58 (1.54-1.62) | 1.36 (1.24-1.50) |
| Marital status | ||||
| Unmarried | 1 [Reference] | 1 [Reference] | 1 [Reference] | 1 [Reference] |
| Married | 0.99 (0.94-1.03) | 1.01 (0.94-1.09) | 1.04 (0.99-1.10) | 0.99 (0.83-1.18) |
| Annual household income, yuan | ||||
| <10 000 | 1 [Reference] | 1 [Reference] | 1 [Reference] | 1 [Reference] |
| 10 000-50 000 | 0.95 (0.93-0.98) | 1.01 (0.97-1.05) | 1.01 (0.98-1.04) | 0.83 (0.75-0.91) |
| >50 000 | 0.85 (0.83-0.88) | 0.93 (0.89-0.98) | 0.96 (0.93-1.00) | 0.85 (0.75-0.96) |
| Educational level | ||||
| <College | 1 [Reference] | 1 [Reference] | 1 [Reference] | 1 [Reference] |
| ≥College | 0.71 (0.69-0.73) | 0.74 (0.71-0.78) | 0.77 (0.74-0.79) | 1.12 (0.99-1.27) |
| Health insurance status | ||||
| Uninsured | 1 [Reference] | 1 [Reference] | 1 [Reference] | 1 [Reference] |
| Insured | 1.22 (1.11-1.34) | 1.17 (1.00-1.36) | 1.08 (0.97-1.20) | 1.04 (0.71-1.53) |
| Cardiovascular risk factors | ||||
| Current smoking | 0.95 (0.92-0.97) | 0.95 (0.92-0.99) | 0.95 (0.92-0.98) | 1.27 (1.14-1.43) |
| Current alcohol use | 1.21 (1.18-1.25) | 0.75 (0.73-0.78) | 0.71 (0.69-0.73) | 1.31 (1.19-1.45) |
| Diabetes | 1.79 (1.74-1.84) | 1.05 (1.01-1.10) | 0.87 (0.85-0.90) | 1.58 (1.44-1.72) |
| Obesity | 2.10 (2.06-2.14) | 0.75 (0.73-0.78) | 0.62 (0.60-0.63) | 1.49 (1.38-1.61) |
| Previous cardiovascular event(s) | 2.23 (2.07-2.41) | 0.99 (0.89-1.10) | 0.68 (0.63-0.74) | 3.92 (3.19-4.81) |
| Geographic region of residence | ||||
| Western | 1 [Reference] | 1 [Reference] | 1 [Reference] | 1 [Reference] |
| Central | 1.19 (1.17-1.22) | 1.18 (1.14-1.22) | 1.06 (1.03-1.09) | 1.06 (0.97-1.15) |
| Eastern | 1.54 (1.51-1.57) | 1.61 (1.56-1.67) | 1.30 (1.27-1.33) | 0.81 (0.75-0.88) |
Abbreviations: IDH, isolated diastolic hypertension; ISH, isolated systolic hypertension; SDH, systolic-diastolic hypertension.
The average conversion rate in 2019 was 6.91 yuan to $1.00.
Figure 2. Awareness of the Presence of Hypertension Among Participants With Untreated Isolated Systolic Hypertension by Age and Systolic Blood Pressure Level
SBP indicates systolic blood pressure.