| Male | Female | ||||
---|---|---|---|---|---|---|
 | Normal | Diagnosed | Undiagnosed | Normal | Diagnosed | Undiagnosed |
Participants, n% | 4689 (91%) | 344 (7%) | 94 (2%) | 6222 (92%) | 424 6%) | 138 (2%) |
Age in years | ||||||
 <30 | 1326 (96%) | 59 (4%) | 3(0.2%) | 2425 (96%) | 77 (3%) | 20 (1%) |
 30-39 | 1127 (93%) | 63 (5%) | 21 (2%) | 1485 (91%) | 109 (7%) | 38 (2%) |
 40-49 | 818 (90%) | 66 (7%) | 23 (3%) | 1007 (89%) | 94 (8%) | 34 (3%) |
 50-59 | 576 (87%) | 63 (10%) | 20 (3%) | 576 (85%) | 76 (11%) | 25 (4%) |
 60-69 | 494 (87%) | 64 (11%) | 11 (2%) | 451 (89%) | 45 (9%) | 12 (2%) |
 ≥70 | 348 (89%) | 29 (7%) | 16 (4%) | 278 (90%) | 23 (7%) | 9 (3%) |
Education | ||||||
 Primary | 1066 (93%) | 104 (7%) | 27 (2%) | 1857 (91%) | 132 (6%) | 44 (2%) |
 No education | 1464 (92%) | 65 (6%) | 13 (1%) | 1665 (91%) | 130 (7%) | 27 (1%) |
 Secondary | 1256 (90%) | 107 (8%) | 31 (2%) | 1887 (92%) | 127 (6%) | 42 (2%) |
 College or higher | 903 (91%) | 68 (7%) | 23 (2%) | 813 (93%) | 35 (4%) | 25 (3%) |
Currently working | ||||||
 Yes | 4025 (92%) | 291 (7%) | 75 (2%) | 2703 (94%) | 145 (5%) | 36 (1%) |
 No | 664 (90%) | 53 (7%) | 19 (3%) | 3519 (90%) | 279 (7%) | 102 (3%) |
Marital status | ||||||
 Married | 823 (95%) | 34 (4%) | 5 (1%) | 359 (96%) | 12 (3%) | 2 (1%) |
 Never married | 3761 (91%) | 301 (7%) | 87 (2%) | 4955 (92%) | 337 (6%) | 109 (2%) |
 Widowed/divorced | 105 (91%) | 9 (8%) | 2 (2%) | 908 (90%) | 75 (7%) | 27 (3%) |
Wealth Status | ||||||
 Poorest | 963 (94%) | 52 (5%) | 12 (1%) | 1235 (93%) | 79 (6%) | 18 (1%) |
 Poorer | 922 (94%) | 49 (5%) | 8 (1%) | 1227 (95%) | 52 (4%) | 8 (1%) |
 Middle | 938 (96%) | 38 (4%) | 3 (0.3%) | 1284 (95%) | 64 (5%) | 9 (1%) |
 Richer | 925 (91%) | 78 (8%) | 17 (2%) | 1182 (91%) | 91 (7%) | 29 (2%) |
 Richest | 941 (84%) | 127 (11%) | 54 (5%) | 1294 (86%) | 138 (9%) | 74 (5%) |
Hypertension | ||||||
 No | 3666 (93%) | 222 (6%) | 53 (1%) | 4842 (93%) | 255 (5%) | 82 (2%) |
 Yes | 1023 (86%) | 122 (10%) | 41 (3%) | 1380 (86%) | 169 (11%) | 56 (3%) |
BMI | ||||||
 Normal | 2973 (92%) | 218 (7%) | 47 (1%) | 3499 (94%) | 196 (5%) | 47 (1%) |
 Underweight | 951 (95%) | 39 (4%) | 6 (1%) | 986 (95%) | 47 (5%) | 3 (0.3%) |
 Overweight | 688 (86%) | 75 (9%) | 36 (5%) | 1396 (87%) | 146 (9%) | 60 (4%) |
 Obese | 77 (82%) | 12 (13%) | 5 (5%) | 341 (84%) | 35 (9%) | 28 (7%) |
Residence | ||||||
 Urban | 2988 (92%) | 206 (6%) | 47 (1%) | 4105 (93%) | 245 (6%) | 58 (1%) |
 Rural | 1701 (90%) | 138 (7%) | 47 (2%) | 2117 (89%) | 179 (8%) | 80 (3%) |
Division | ||||||
 Sylhet | 567 (92%) | 42 (7%) | 10 (2%) | 731 (92%) | 52 (7%) | 11 (1%) |
 Barisal | 480 (91%) | 40 (8%) | 5 (1%) | 662 (91%) | 49 (7%) | 13 (2%) |
 Chittagong | 577 (90%) | 50 (8%) | 13 (2%) | 876 (90%) | 65 (7%) | 30 (3%) |
 Dhaka | 557 (86%) | 62 (10%) | 29 (4%) | 744 (87%) | 80 (9%) | 29 (3%) |
 Khulna | 675 (92%) | 45 (6%) | 15 (2%) | 852 (93%) | 48 (5%) | 19 (2%) |
 Mymensingh | 548 (94%) | 29 (5%) | 5 (1%) | 704 (92%) | 49 (6%) | 9 (1%) |
 Rajshahi | 633 (92%) | 45 (7%) | 12 (2%) | 829 (93%) | 46 (5%) | 15 (2%) |
 Rangpur | 652 (95%) | 31 (5%) | 5 (1%) | 824 (95%) | 35 (4%) | 12 (1%) |