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Table 2 Prevalence of diagnosed and undiagnosed diabetes mellitus (DM) among male and female participants

From: Assessment of sex disparities in prevalence of diagnosed and undiagnosed diabetes mellitus: results from the Bangladesh demographic and health survey data

 

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%)