Skip to main content

Table 3 Logistic regression estimates of prevalent tuberculosis and population attributable fractions of prevalent tuberculosis to hyperglycaemia for sequential random blood glucose concentration cut-offs

From: The association of hyperglycaemia with prevalent tuberculosis: a population-based cross-sectional study

Random blood glucose concentration (mmol/L)

Total number (%)

Number (%) with prevalent TB

Unadjusted OR (95% CI)

P-value#

Adjusted OR (95% CI)a

P-value#

PAF (95% CI) of prevalent TB to hyperglycaemia (%)

ZAMBIA

<7.0

23,369 (84.1)

109 (0.5)

1

0.012

1

0.007

7.16 (2.51–11.59)

≥7.0

4,431 (15.9)

35 (0.8)

1.68 (1.14–2.46)

1.82 (1.20–2.75)

<7.8

25,444 (91.5)

123 (0.5)

1

0.017

1

0.018

4.12 (0.90–7.24)

≥7.8

2,356 (8.5)

21 (0.9)

1.84 (1.15–2.93)

1.94 (1.16–3.25)

<9.0

26,816 (96.5)

133 (0.5)

1

0.022

1

0.007

2.28 (0.12–4.38)

≥9.0

984 (3.5)

11 (1.1)

2.25 (1.21–4.19)

2.86 (1.46–5.60)

<11.1

27,395 (98.5)

142 (0.5)

1

0.921

1

0.818

0.00 (0.00–3.21)

≥11.1

405 (1.5)

2 (0.5)

0.93 (0.23–3.79)

0.80 (0.11–5.85)

WESTERN CAPE

<7.0

9,532 (83.9)

235 (2.5)

1

0.525

1

0.386

2.34 (0.00–7.08)

≥7.0

1,835 (16.1)

50 (2.7)

1.11 (0.81–1.51)

 

1.17 (0.82–1.66)

  

<7.8

10,320 (90.8)

255 (2.5)

1

0.417

1

0.383

1.66 (0.00–4.96)

≥7.8

1,047 (9.2)

30 (2.9)

1.18 (0.80–1.73)

1.22 (0.79–1.89)

<9.0

10,801 (95.0)

270 (2.5)

1

0.787

1

0.308

1.35 (0.00–3.55)

≥9.0

566 (5.0)

15 (2.7)

1.08 (0.63–1.83)

1.37 (0.77–2.44)

<11.1

11,045 (97.2)

272 (2.5)

1

0.099

1

0.015

1.64 (0.28–2.99)

≥11.1

322 (2.8)

13 (4.0)

1.67 (0.94–2.96)

2.38 (1.26–4.50)

  1. TB tuberculosis, OR odds ratio, CI confidence interval, PAF population attributable fraction; All analyses accounted for the two-stage clustered sampling design through the use of a logistic regression model with random effects for enumeration area and inclusion of region or community as a fixed effect; Negative PAFs were given a value of zero; #Likelihood ratio tests; aAdjusted for age, sex, HIV status, body mass index, household socioeconomic position and education