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. Author manuscript; available in PMC: 2016 Sep 1.
Published in final edited form as: Cancer. 2015 May 6;121(17):2951–2959. doi: 10.1002/cncr.29403

Table 5.

Multivariable Logistic Regression Models for Colorectal Cancer Screening Receipt at 12 month Follow-Up, Overall and Stratified by Ethnicity

Variable Categories Total (N=866)
OR
White (N=257)
OR
Latino (N=254)
OR
Afr. Am. (N=185)
OR
Asian (N=170)
OR
Treatment Control
Intervention
1.9* 1.7* 3.9* 1.2 2.6*
Marital status Other
Married
1.2 0.9 0.8 1.4 4.9*
Education <College
>Some college
0.9 0.5* 1.0 0.7 4.4*
Insurance Uninsured
Insured
3.6* 2.2 18.6* 5.2+ 2.3
Sex Male
Female
1.0 0.8 0.6 1.7 1.7
Age (10-year increase) 1.3* 1.1 2.8* 1.3 1.5
Relation to Case Child
Sibling
0.9 1.0 0.8 0.7 1.2
Cancer History No
Yes
0.8 0.6 1.7 0.4 0.5
Actual Cancer Risk Category High Risk
Very High Risk
1.5 1.3 2.0 1.4 1.9
Perceived Risk to develop CRC Not/Somewhat
Very Likely
1.5 4.5 1.0 2.7 0.6
Patient-Provider Interaction (continuous) 1.4* 1.4* 1.7* 1.4 1.3
Barriers (continuous) 0.9* 0.9 0.8* 0.8* 0.9
Risk Factor Knowledge (continuous) 1.1 1.1 1.1 0.9 1.2
Screening Guidelines Knowledge (continuous) 1.0 1.0 1.1 0.9 1.0
Cancer Distress (continuous) 1.2 1.0 1.7 0.8 1.9
Intraclass correlation −.01 −.09 .25 −.14 −.01

OR, odds ratio. Estimates from GEE logistic regression models accounting for clustering by family. Sample sizes reduced due to missing data for some predictors.

*

p<.05,

+

p=.058