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Table 5 Logistic regression summary for variables associated with HIV antiretroviral adherence (n = 1455)

From: Associations between the legal context of HIV, perceived social capital, and HIV antiretroviral adherence in North America

    

95% CI, Odds ratio

Predictor

B (SE)

Wald

Odds Ratio

Lower

Upper

Block 1: Individual Level Demographic Characteristics (X 2 = 44.44, df = 9, p < .001)

Gender

-.156 (.096)

2.642

.855

.708

1.033

Age

.016 (.007)

5.453*

1.016

1.003

1.030

Ancestrya

 

30.577**

   

Asian/Pacific Islander (n = 39)

.055 (.472)

.013

1.056

.419

2.663

African American/black (n = 581)

.153 (.335)

.207

1.165

.604

2.248

Hispanic/Latino(a) (n = 343)

.722 (.349)

4.270*

2.058

1.038

4.080

Native American Indian (n = 47)

.060 (.460)

.017

1.061

.431

2.616

White/anglo (non-Hispanic) (n = 398)

.859 (.337)

6.498*

2.361

1.220

4.570

Education

-.033 (.054)

.364

.968

.870

1.077

Year diagnosed with HIV

.011 (.008)

1.750

1.011

.995

1.027

Block 2: Social Network Resources (X 2 = 25.35, df = 1, p < .001)

Perceived Social Capital

.517 (.104)

24.834**

1.676

1.368

2.054

Block 3: HIV Legal Context (X 2 = 10.66, df = 6, p = .093)

HIV Prosecutions

-.003 (.004)

.418

.997

.989

1.006

HIV Exposure/Transmission Law

-.176 (.257)

.469

.838

.506

1.388

HIV Sentencing Enhanced

-.005 (.149)

.001

.995

.742

1.334

Other Disease Exposure/Transmission Law

.118 (.160)

.543

1.125

.823

1.538

HIV Disclosure Law

.321 (.166)

3.726*

1.379

.995

1.911

HIV Reporting Law

.200 (.322)

.385

1.221

.650

2.295

Constant, overall model

−24.500 (16.569)

2.186

   
  1. Note: Model X 2 = 80.66, df = 16, p < .001); Nagelkerke R 2 = .072; percent correctly classified = 60%; pmeter values reported are from the final logistic regression model; areference category for ancestry is other (n = 47); * p ≤ .05; ** = p < .01.