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. 2017 Feb 8;11(2):e0005342. doi: 10.1371/journal.pntd.0005342

Table 3. Risk factors for any helminth infection among TB patients and household controls without TB.

Characteristic Helminth infection, n (%) Unadjusted Adjusted
Yes No OR (95% CI) p-value aOR (95% CI) p-value
Participant 0.054 0.18
 Controls 97 (33.8) 278 (40.6) 1.00 1.00
 TB patients 190 (66.2) 407 (59.4) 1.35 (1.00–1.82) 1.29 (0.88–1.87)
Age group (years) 0.30 0.46
 18–24 50 (17.4) 144 (21.0) 1.00 1.00
 25–34 115 (40.1) 232 (33.9) 1.46 (0.96–2.23) 1.38 (0.89–2.17)
 35–44 75 (26.1) 191 (27.9) 1.13 (0.72–1.78) 1.11 (0.68–1.82)
 ≥45 47 (16.4) 118 (17.2) 1.16 (0.70–1.92) 1.18 (0.69–2.03)
Sex 0.003 0.24
 Female 93 (32.4) 294 (42.9) 1.00 1.00
 Male 194 (67.6) 391 (57.1) 1.60 (1.17–2.18) 1.23 (0.87–1.75)
HIV status 0.022 0.010
 Negative 242 (84.3) 532 (77.7) 1.00 1.00
 Positive 45 (15.7) 153 (22.3) 0.63 (0.43–0.94) 0.57 (0.37–0.87)
BMI category (kg/m2) 0.077 0.47
 BMI ≥18 175 (61.0) 460 (67.2) 1.00 1.00
 BMI <18 112 (39.0) 225 (32.8) 1.32 (0.97–1.79) 1.14 (0.79–1.64)
Education level 0.28 0.50
 No/primary 243 (84.7) 563 (82.2) 1.00 1.00
 Secondary/University 44 (15.3) 122 (17.8) 0.80 (0.53–1.20) 0.86 (0.55–1.34)
Employment status 0.13 0.42
 Unemployed 93 (32.4) 256 (37.4) 1.00 1.00
 Employed 194 (67.6) 429 (62.6) 1.28 (0.93–1.76) 1.16 (0.81–1.65)
Number of people in the household 0.66 0.97
 ≤3 218 (76.0) 69 (24.0) 1.00 1.00
 >3 513 (74.9) 172 (25.1) 0.93 (0.65–1.32) 0.99 (0.69–1.42)
Household income per month (US$) 0.47 0.75
 ≤100 229 (79.8) 534 (78.0) 1.00 1.00
 >100 58 (20.2) 151 (22.0) 0.87 (0.60–1.26) 0.94 (0.63–1.40)
Individual deworming (past 12 months) 0.043 0.12
 Yes 224 (78.0) 573 (83.6) 1.00 1.00
 No 63 (22.0) 112 (16.4) 1.48 (1.01–2.15) 1.35 (0.92–1.99)
Occupational riska 0.009 0.029
 No 136 (47.7) 385 (56.9) 1.00 1.00
 Yes 149 (52.3) 292 (43.1) 1.50 (1.11–2.03) 1.42 (1.04–1.95)

a Occupational risk for acquiring schistosomiasis (working in rice fields, sand harvesting, washing cars, and fishing)

BMI, body mass index; HIV, human immunodeficieny virus; US$, United States dollars (1 US$ = 2,190 Tanzanian Shillings in March 2016)

Multilevel mixed-effects logistic regression model with household as a random intercept, adjusted for TB status, age-groups, sex, HIV status, BMI, education level, employment status, number of people living in the same household, individual deworming status, occupational risk, and income level.

Note: interaction between the effect of HIV and deworming status on the risk for any helminth infection: p = 0.50