Table 4.

Mediation analysis of the effect of resilience on the relationship of internalized HIV stigma and self-rated health status.

	Model 1: (X → M) DV = resilience (a)	Model 2: (X → Y) DV = health status (c)	Model 3: (X, M → Y) DV = health status (c’) (b)
Age	−0.048 (0.014)***	−0.016 (0.004)***	−0.013 (0.004)**
Gender	−1.181 (0.345)**	0.033 (0.092)	0.030 (0.094)
Marital status	0.432 (0.327)	0.040 (0.089)	0.018 (0.091)
Years of formal schooling	0.317 (0.054)***	−0.011 (0.014)	−0.028 (0.015)
Employment status	1.380 (0.357)***	0.373 (0.099)***	0.317 (0.101)***
Monthly family income	0.932 (0.143)***	0.211 (0.039)***	0.171 (0.040)***
Drug use	−1.861 (0.440)***	−0.886 (0.125)***	−0.817 (0.127)***
CD4 counts (log transfer)	0.856 (0.379)*	0.779 (0.113)***	0.759 (0.114)***
Antiretroviral therapy	0.877 (0.346)*	0.111 (0.095)	0.072 (0.096)
Internalized HIV stigma (X)	−0.494 (0.035)***	−0.084 (0.010)***	−0.060 (0.010)***
Resilience (M)	–	–	0.052 (0.005)***
Sobel test, z-value	−8.359 (0.003)***

Notes: Numbers are unstandardized coefficients and standard errors are given in parentheses.

X, internalized HIV stigma; M, resilience; Y, self-rated health status; DV, Dependent variable.

Model 1: multivariate linear regression, independent variable (internalized stigma, X) was regressed on the mediation variable (resilience, M) with a regression coefficient a.

Model 2: multivariate logistic regression, the independent variable (internalized stigma, X) was regressed on the dependent variable (self-rated health status, Y) with a regression coefficient c.

Model 3: multivariate logistic regression, the independent variable (X) and the mediation variable (M) were simultaneously regressed on dependent variable (Y) with regression coefficients C′ (X on Y) and b (M on Y).

^*p < .05.

^**p < .01.

^***p < .001.