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. 2013 Jan 3;68(2):246–256. doi: 10.1093/geronb/gbs161

Table 2.

Multinomial Logistic Regression Predicting Advance Care Planning, New Jersey End of Life Study, N = 268

Two-pronged approach Discussions only
General family functioning 1.88† (0.91 – 3.87) 2.79* (1.24 – 6.27)
Demographic characteristics
 Women 0.86 (0.41 – 1.83) 1.32 (0.59 – 2.97)
 Ethnic/racial minority 0.09*** (0.04 – 0.24) 0.37* (0.14 − 0.98)
 Age 1.02 (0.98 – 1.07) 1.01 (0.96 – 1.06)
 Education 1.12* (1.02 – 1.22) 1.05 (0.95 – 1.15)
 Currently married 0.97 (0.45 – 2.08) 1.26 (0.57 – 2.79)
 Number of children 1.03 (0.89 – 1.19) 1.04 (0.89 – 1.20)
Health characteristics
 Self-rated health 1.27 (0.57 – 2.80) 0.87 (0.39 – 1.95)
 Functional limitations 2.73* (1.23 – 6.05) 2.24† (0.99 – 5.08)
 Center for Epidemiologic Studies Depression 1.01 (0.76 – 1.34) 0.95 (0.71 – 1.29)
χ2; d.f. 93.43; 20
Nagelkerke pseudo R 2 .34
% (n) 49.3 (132) 22.8 (61)

Notes. Odds ratios (and 95% confidence intervals) are shown. Omitted category includes persons who did no advance care planning (n = 75, 28%).

Symbols denote statistical significance levels of †p < .10; *p < .05; **p < .01; ***p < .001.