Table 1 Distribution of respondents by background characteristics.
Background characteristics | BDHS 2017–2018 | ||
|---|---|---|---|
All participants (N = 11,959), Frequency (%) | Hypertensive participants per JNC 7 (n = 2866), frequency (%) | Hypertensive participants per 2017 ACC/AHA (n = 6044), frequency (%) | |
SBP, median (IQR), ( mmHg) | 118 (109–131) | 109 (103–116) | 114 (106–122) |
DBP, median (IQR), ( mmHg) | 80 (73–87) | 73 (69–77) | 77 (71.0–82.0) |
Ever measured BP | 9063 (75.8) | 2379 (26.2) | 4795 (52.9) |
Know about hypertension status | 1534 (12.8) | 988 (64.4) | 1286 (83.8) |
Taking antihypertensive medication for BP | 1216 (10.2) | 812 (66.8) | 1049 (86.3) |
Administrative divisions | |||
Barisal | 659 (5.5) | 184 (27.9) | 349 (53.0) |
Chittagong | 2057 (17.2) | 507 (24.6) | 1065 (51.8) |
Dhaka | 2770 (23.2) | 564 (20.4) | 1256 (45.4) |
Khulna | 1488 (12.4) | 399 (26.8) | 833 (56.0) |
Rajshahi | 1729 (14.5) | 440 (25.4) | 908 (52.5) |
Rangpur | 1503 (12.6) | 424 (28.2) | 829 (55.2) |
Sylhet | 780 (6.5) | 165 (21.2) | 366 (46.9) |
Mymensingh | 973 (8.1) | 183 (18.8) | 438 (45.0) |
Place of residence | |||
Urban | 3180 (26.6) | 767 (24.1) | 1674 (52.6) |
Rural | 8779 (73.4) | 2099 (23.9) | 4370 (49.8) |
Sex of the participants | |||
Male | 5124 (42.8) | 1221 (23.8) | 2667 (52.0) |
Female | 6835 (57.2) | 1646 (24.1) | 3376 (49.4) |
Age of the participants (years) | |||
Median (IQR) | 34.0 (18.0–95.0) | 29.0(22.0–40.0) | 31.0 (23.0–43.0) |
18–24 | 2422 (20.3) | 184 (7.6) | 744 (30.7) |
25–34 | 2972 (24.9) | 412 (13.9) | 1284 (43.2) |
35–44 | 2417 (20.2) | 612 (25.3) | 1326 (54.8) |
45–54 | 1672 (14.0) | 564 (33.8) | 1047 (62.6) |
55–64 | 1350 (11.3) | 533 (38.5) | 860 (63.7) |
≥ 65 | 1126 (9.4) | 562 (48.9) | 782 (69.4) |
BMI level | |||
Median (IQR) | 21.91 (19.4–24.9) | 20.84 (18.73–23.55) | 21.44 (19.13–24.36) |
Underweight (< 18.5 kg/m2) | 2071 (17.3) | 338 (16.3) | 723 (34.9) |
Normal (18.5–25.0 kg/m2) | 7010 (58.6) | 1482 (21.1) | 3342 (47.7) |
Overweight (25.1–29.9 kg/m2) | 2389 (20.0) | 868 (36.3) | 1620 (67.8) |
Obesity (≥ 30.0 kg/m2) | 489 (4.1) | 178 (36.3) | 359 (73.4) |
Education level | |||
No education | 3032 (25.4) | 977 (32.2) | 1753 (57.8) |
Primary | 3591 (30.0) | 823 (22.9) | 1754 (48.8) |
Secondary | 3545 (29.6) | 710 (20.0) | 1675 (47.2) |
Higher | 1790 (15.0) | 355 (19.8) | 862 (48.2) |
Occupational Status | |||
Not working | 4619 (38.6) | 1213 (26.3) | 2340 (50.7) |
Working | 7340 (61.4) | 1653 (22.5) | 3704 (50.5) |
Wealth status | |||
Poorest | 2315 (19.4) | 500 (21.6) | 1078 (46.6) |
Poorer | 2354 (19.7) | 526 (22.3) | 1088 (46.2) |
Middle | 2468 (20.6) | 582 (23.6) | 1266 (51.3) |
Richer | 2379 (19.9) | 568 (23.9) | 1208 (50.8) |
Richest | 2442 (20.4) | 690 (28.3) | 1404 (57.5) |
Smoking habit | |||
No | 10,271 (85.9) | 2405 (23.4) | 5140 (50.0) |
Yes | 1688 (14.1) | 461 (27.3) | 904 (53.6) |
