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. 2000 Spring;21(3):171–184.

Table 1. Predictors of 1-Year Survival for End-Stage Renal Disease Patients on Hemodialysis1.

Predictor Variables Logistic Regression Estimates

Specific Variable Full Model of Variables



Variable Type Units DF Chi-Square P-value Odds Ratio 2 Additional Variables in Model3 DF Chi-Square P-value
Black Race Demographic 0-1 1 13.8 0.0002 12.642 Age, Sex 3 18.6 0.0003
Hypertension Pathophysiologic (Diagnostic) 0-1 1 6.5 0.01 8.954 Age, Sex, Race 4 25.3 0.0001
Higher Physical Functioning 4 Psychosocial (HRQOL Physical) 0-100 1 7.0 0.008 1.050 Age, Sex, Race, Hypertension 5 30.7 0.0001
Higher Performance 5 Psychosocial (Provider-Report) 0-100 1 6.3 0.01 1.061 Age, Sex, Race, Hypertension 5 30.0 0.0001
Fewer Private Religious Activities 6 Psychosocial (Religiosity) 0-100 1 5.7 0.02 1.030 Age, Sex, Race, Hypertension 5 30.8 0.0001
Living with Own Family Psychosocial (Social Environment) 0-1 1 4.8 0.03 5.196 Age, Sex, Race, Hypertension 5 29.1 0.0001
1

N=103.

2

The odds ratio (OR) indicates that n units of change in predictor variable units would increase the chance of survival by ORn times.

3

In each of the separate logistic regressions with 1-year survival as the dependent variable, the full model of independent variables included the specific variable in the first column plus the control variables listed in this column.

4

Kidney Disease Quality of Life Short Form (KDQOL-SF). Scale=0-100.

5

Karnofsky Performance Index. Scale=0-100.

6

Duke Religion Index (DUREL). Scale=0-100

NOTES: DF is degrees of freedom. HRQOL is health-related quality of life.

SOURCE: Parkerson, G. R. Jr. and Gutman, R.A., Duke University Medical Center, Durham, North Carolina, 1998.