. Author manuscript; available in PMC: 2009 Apr 15.

Published in final edited form as: Psychosom Med. 2009 Mar 17;71(3):366–371. doi: 10.1097/PSY.0b013e31819cc783

TABLE 3.

Predictive Logistic Model of Somatizing Status Based on Administrative Database (ADB) ICD-9 Codes in the Derivation Sample (N=901)

	β̂	(s.e. )	OR	(95% CI)
Age	0.134^*	(0.054)	0.969^a	(0.951, 0.988)
Age × Age	−0.002^**	(0.001)	n.a.	n.a.
Female	0.308	(0.199)	1.361	(0.922, 2.010)
# of visits in past year	0.044^**	(0.015)	1.045	(1.014, 1.077)
% ADB somatization potential diagnosis	0.026**	(0.003)	1.026	(1.019, 1.033)
Intercept	–5.327^**	(1.177)

c-statistic in derivation dataset	0.72

c-statistic in validation dataset	0.68

c-statistic using the previous screener in validation dataset	0.70

Note: Odds ratio for age is calculated at the mean age, thus the interpretation is odds ratio with 1 year increase in age from the mean age.

p<.05

^**

p<.01;

s.e.=standard error; Hosmer-Lemeshow goodness of fit test p-value =0.18.