Table 2.

Unadjusted Percentages and Adjusted OR^a for Associations Between Respondent Characteristics and Plans to Stop Cancer Screening for Any Cancer

Characteristics	Plan to stop %	OR	95% CI	p value
Age				p = 0.25
50–69	10.2%
≥70	8.2%	0.74	0.45–1.23
Education				p = 0.43
High school graduate or less	8.3%
Some college	10.6%	1.33	0.67–2.63
College graduate or more	11.0%	1.46	0.82–2.61
Gender				p = 0.15
Women	11.6%
Men	7.4%	0.61	0.31–1.19
Race				p = 0.008
White	10.2%
Black	3.8%	0.32	0.12–0.87
Other	20.3%	2.63	1.04–6.65
Household income				P = 0.65
<$25 K	7.4%	1.00	0.35–2.85
$25 K–$49.9 K	9.5%	1.35	0.67–2.73
$50 K–$74.9 K	10.8%	1.25	0.62–2.53
$75 K–$99.9 K	13.6%	1.62	0.81–3.22
$100 K+	8.7%
Insured				p = 0.91
Yes	9.8%
No	8.7%	0.95	0.38–2.40
Health status
Excellent-good	9.9%			p = 0.74
Fair/poor	8.8%	1.13	0.56–2.27
Cancer risk beliefs				p = 0.11
Low risk	12.1%
Medium risk	8.6%	0.69	0.43–1.09
High risk	5.7%	0.44	0.17–1.14

^aORs, CIs and p-values from multivariable logit model controlling for all variables in Tables 2 and 3