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Table 2 Univariate and multivariate logistic regression analysis for consulting for a cough (when coughing for more than 2 weeks), 2010

From: Patient predictors of health-seeking behaviour for persons coughing for more than two weeks in high-burden tuberculosis communities: the case of the Western Cape, South Africa

Variables

Univariate (n = 922)a

Multivariate (n = 921)b

ORc (95% CId)

P value

OR (95% CI)

P value

Stigma index

0.88 (0.76–1.03)

0.13

1.05 (0.89–1.24)

0.58

Agee

1.01 (1.01–1.02)

< 0.01

1.02 (1.01–1.04)

< 0.01

Men

0.76 (0.57–0.99)

0.04

0.88 (0.63–1.22)

0.44

Black ethnicity

2.42 (1.60–3.67)

< 0.01

1.99 (1.28–3.12)

< 0.01

Educationf

1.00 (0.97–1.04)

0.87

1.05 (1.00–1.10)

0.05

Employed

0.85 (0.63–1.15)

0.29

0.92 (0.67–1.27)

0.63

Asset index

0.87 (0.77–0.98)

0.03

0.81 (0.71–0.92)

< 0.01

HIV positive

1.37 (0.98–1.91)

0.06

1.30 (0.91–1.85)

0.15

Drinks daily

1.13 (0.66–1.95)

0.65

1.43 (0.80–2.54)

0.23

Smoked

0.53 (0.40–0.69)

< 0.01

0.63 (0.45–0.88)

< 0.01

  1. an = 921 for age variable
  2. b Due to one missing age variable
  3. c OR = odds ratio
  4. dCI = confidence interval
  5. e per year
  6. fper year of education
  7. Reference categories for dichotomous variables: Women, Cape coloured ethnicity, Not employed during last year, HIV negative/did not disclose HIV status, Never/occasional/used to drink, Never smoked. All other independent variables are continuous. Source: Own calculations, ZAMSTAR (2010)