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. 2016 Aug 26;11(8):e0161892. doi: 10.1371/journal.pone.0161892

Table 1. Demographic and clinical data of 2551 TB cases.

Variable (Total number analysed) Number (Percentage)
Sex (2551)
Male 1789 (70.1)
Female 762 (29.9)
Age category (2551)
08–25 459 (18.0)
26–40 1082 (42.4)
41–77 980 (38.4)
>77 30 (1.2)
Residency (2551)
North 212 (8.3)
South 2339 (91.7)
Occupation (2530)
Skilled 490 (19.2)
Unskilled 1890 (74.1)
Unemployed 150 (5.9)
Settlement (2550)
Urban 2283 (89.5)
Rural 267 (10.5)
HIV status1 (1613)
Yes 250 (15.5)
No 1363 (84.5)
Presence of BCG scar 2(1817)
Yes 904 (49.8)
No 913 (50.2)
Income* (2551)
None 771 (30.2)
Low 1500 (58.8)
High 280 (11.0)
Drinking status3 (2071)
Yes 556 (26.8)
No 1515 (73.2)
TB in the past4 (2029)
Yes 218 (10.7)
No 1811 (89.3)
Education Level (2551)
None 300 (11.7)
Primary 605 (23.7)
Secondary 1551 (60.7)
Tertiary 95 (3.7)
Smear Grade (2551)
Scanty 235 (9.2)
1 985 (38.6)
2 531 (20.8)
3 800 (31.4)
In Household number (2551)
<5 589 (23.1)
>5 1962 (76.9)
Ethnicity (2551)
Akan 800 (31.4)
Ewe 339 (13.3)
Ga 595 (23.3)
Mole -Dagbon 36 (1.4)
Gruma 5 (0.2)
Guan 9 (0.4)
Others 767 (30.0)
Marital status (2551)
Single 859 (33.7)
Married 1037 (40.7)
Divorced 221 (8.7)
Widowed 104 (4.1)
Co habiting 330 (12.9)
Cough (2551)
< 2 weeks 2117 (82.9)
> 2 weeks 122 (4.8)
Symptoms other than cough 312 (12.2)
Night Sweat 5 (2219)
Yes 1372 (61.8)
No 847 (33.2)
Hemoptysis 6 (2227)
Yes 480 (21.6)
No 1747 (78.4)
House type (2551)
Self-contained 486 (19.1)
Compound House 1707 (66.9)
Others 358 (14.0)
Swollen glands 7 (2211)
Yes 210 (9.5)
No 2001 (91.5)
Chest Pain 8 (2234)
Yes 1717 (76.9)
No 517 (23.1)
Nationality 9 (2251)
Ghana 2187 (97.2)
Nigeria 21 (0.9)
Togo 12 (0.5)
Niger 11 (0.4)
Ivory Coast 7 (0.3)
Others West African Nationals 13 (0.7)
Contact with TB patient (2551)
Yes 316 (12.4)
No 2234 (87.6)
Smoking 10(2419)
Yes 500 (20.7)
No 1919 (75.3)

1 = 938 missed data for HIV status,

2 = 734 missed data for Presence of BCG scar,

3 = 480 missed data for Drinking status,

4 = 522 missed data for TB in the past,

5 = 332 missed data for Night Sweat,

6 = 324 missed data for Night Sweat,

7 = 340 missed data for Swollen glands,

8 = 317 missed data for Chest Pain,

9 = 300 missed data for Nationality,

10 = 132 missed data for Smoking.

* Income below 1000GH₵ was defined as low whilst those above 1000GH₵ as high.