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. 2022 Apr 1;10:758447. doi: 10.3389/fpubh.2022.758447

Table 2.

Regression models for predictors of ART adherence intention (N = 148).

Characteristics Model 1 Model 2 Model 3 Model 4
PR (95% CI)a PR (95% CI)a PR (95% CI)a PR (95% CI)a
Water source
  Piped water Referent Referent Referent Referent
  Borehole or surface water 0.73 (0.52–1.02) 0.77 (0.52–1.14) 0.80 (0.61–1.05) 1.06 (0.78, 1.45)
HIV transmission knowledge
  High (12–13) Referent Referent Referent
  Low (<12) 0.59 (0.49,0.70)* 0.62 (0.49–0.79)* 0.65 (0.50,0.84)*
Age
  18–30 Referent Referent
  Above 30 1.02 (0.65–1.60) 1.06 (0.67, 1.68)
Occupation
  Employed Referent Referent
  Housewife 0.96 (0.80–1.15) 0.84 (0.58, 1.23)
  Unskilled labor 1.01 (0.49, 2.06) 1.13 (0.61, 2.06)
Household monthly income
  ≥3,000 Zambian Kwacha Referent Referent
   <3,000 Zambian Kwacha 1.31 (1.08, 1.61) 1.18 (0.78, 1.78)
Place of residence
  Urban Referent
  Rural 0.53 (0.24–1.15)
  Pearson's and Deviance goodness of fit tests both had P = 1.00 for all four models.b
*

p-value ≤ 0.05.

a

From mixed effects Poisson regression with robust variance estimate (i.e., log-linear model), including a random effect for clinic. PR, prevalence ratio.

b

From fixed effects Poisson regression model (with a fixed effect for clinic, since goodness of fit tests are not implemented for random effects models; model coefficients negligibly different).