Table 1.
TB (n = 347) | TB-diabetic (n = 129) | TB-not diabetic (n = 218) | |
---|---|---|---|
n (%) | n (%) | n (%) | |
Age categories | |||
Median age (IQR) | 31 (13) | 32 (13) | 31 (13) |
Under 30 | 163 (47) | 59 (45.74) | 104 (47.71) |
31–40 | 130 (37.5) | 54 (41.9) | 76 (34.9) |
41–50 | 40 (11.5) | 9 (7) | 31 (14.2) |
51–60 | 11 (3.2) | 6 (4.7) | 5 (2.3) |
Over 60 | 3 (0.9) | 1 (0.8) | 2 (0.9) |
Gender | |||
Female | 98 (28.2) | 36 (27.9) | 62 (28.4) |
Male | 249 (71.8) | 93 (72.1) | 156 (71.6) |
Education level | |||
No school | 15 (4.3) | 5 (3.9) | 10 (4.6) |
Primary | 116 (33.4) | 37 (28.7) | 79 (36.2) |
High school | 158 (45.5) | 61 (47.3) | 97 (44.5) |
College | 58 (16.7) | 26 (20.2) | 32 (14.7) |
Employed | |||
Yes | 233 (67.1) | 79 (61.2) | 154 (70.6) |
No | 114 (32.9) | 50 (38.8) | 64 (29.4) |
Income | |||
<1000 | 87 (25.1) | 29 (22.5) | 58 (26.9) |
1001–5000 | 66 (19) | 29 (22.5) | 37 (17.1) |
5001–10,000 | 84 (24.2) | 27 (20.9) | 57 (26.4) |
>10,000 | 108 (31.1) | 44 (34.1) | 64 (29.6) |
Missing data | 2 (0.6) | ||
Ever drank alcohol | |||
Missing data | 1 (0.3) | 0 (0) | 1 (0.5) |
NA | 54 (15.6) | 26 (20.2) | 28 (12.8) |
No | 137 (39.5) | 53 (41.1) | 84 (38.5) |
Yes | 155 (44.7) | 50 (38.8) | 105 (48.2) |
Ever smoked | |||
Missing data | 1 (0.3) | 0 (0) | 1 (0.5) |
NA | 7 (2) | 4 (3.1) | 3 (1.4) |
No | 240 (69.2) | 90 (69.8) | 150 (68.8) |
yes | 99 (28.5) | 35 (27.1) | 64 (29.4) |
No of cigarettes daily* | |||
Missing data | 67 (67.7) | 21 (60) | 46 (71.9) |
<20 | 24 (24.2) | 9 (25.7) | 15 (23.4) |
>20 | 8 (8.1) | 5 (14.3) | 3 (4.7) |
Health seeking frequency | |||
Missing data | 1 (0.3) | 0 (0) | 1 (0.5) |
Once a year | 163 (47) | 63 (48.8) | 100 (45.9) |
Other | 75 (21.6) | 30 (23.3) | 45 (20.6) |
RARE | 1 (0.3) | 0 (0) | 1 (0) |
Twice a_year_more | 107 (30.8) | 36 (27.9) | 71 (32.6) |
Distance from the facility | |||
Missing data | 1 (0.3) | 0 (0) | 1 (0.5) |
0–10KM | 245 (70.6) | 95 (73.6) | 150 (68.8) |
11–20KM | 84 (24.2) | 28 (21.7) | 56 (25.7) |
21–30KM | 16 (4.6) | 5 (3.9) | 11 (5) |
>30KM | 1 (0.3) | 1 (0.8) | 0 (0) |
Facility | |||
Missing data | 1 (0.3) | 0 (0) | 1 (0.5) |
Government | 224 (64.6) | 80 (62) | 144 (66.1) |
Government_ NGO_mission | 4 (1.2) | 2 (1.6) | 2 (0.9) |
Government_ other | 1 (0.3) | 0 (0) | 1 (0.5) |
Government_ Traditional | 2 (0.6) | 0 (0) | 2 (0.9) |
NG0_mission | 5 (1.4) | 2 (1.6) | 3 (1.4) |
Private_clinic | 60 (17.3) | 27 (20.9) | 33 (15.1) |
Private_clinic Government | 49 (14.1) | 18 (14) | 31 (14.2) |
Private_clinic other | 1 (0.3) | 0 (0) | 1 (0.5) |
Household members | |||
<2persons | 194 (55.9) | 65 (50.4) | 129 (59.2) |
>2persons | 153 (44.1) | 64 (49.6) | 89 (40.8) |
Diet | |||
Fats | 59 (17) | 27 (20.9) | 32 (14.7) |
Sugars, Vegetables | 4 (1.2) | 0 (0) | 4 (1.8) |
Vegetables, Meat | 3 (0.9) | 2 (1.6) | 1 (0.5) |
Vegetables | 1 (0.3) | 0 (0) | 1 (0.5) |
Sugars, Vegetables, Meat | 2 (0.6) | 0 (0) | 2 (0.9) |
Fats, Meat | 1 (0.3) | 0 (0) | 1 (0.5) |
Fats, Sugars | 28 (8.1) | 13 (10.1) | 15 (6.9) |
Fats, Sugars, Meat | 107 (30.8) | 37 (28.7) | 70 (32.1) |
Fats, Sugars, Vegetables | 6 (1.7) | 1 (0.8) | 5 (2.3) |
Fats,Sugars, Vegetables,Meat | 32 (9.2) | 14 (10.9) | 18 (8.3) |
Meat | 15 (4.3) | 6 (4.7) | 9 (4.1) |
Sugars | 74 (21.3) | 26 (20.2) | 48 (22) |
Sugars, Meat | 15 (4.3) | 3 (2.3) | 12 (5.5) |
This is a descriptive table indicating the socio-demographic characteristics (Age, gender, education level, Employment, Income, alcohol intake, smoking habit, health seeking behaviors, health care facility, house hold size and the diet) of the patients with TB and TB-DM comorbidity