Table 3.

Bivariate and Logistic Regression Analyses to Identify Factors Predictive of a Laboratory-Confirmed Chlamydia and/or Gonorrhea Infection

	Bivariate Analyses				Logistic Regression Analyses
	Number in Each Group	Percentage Infected with a Chlamydia and/or Gonorrhea	P Value	LR for Chlamydia and/or Gonorrhea Infection	Univariable Models	Multivariable Model
Factor	N	%	P <	LR+ (95% CI)	OR (95% CI)	OR (95% CI)
Age
Age < 28 vs age > 28 years	414 vs 408	38.2 vs 20.1	0.001	1.50 (1.32–1.70)
Age < 24 vs age > 24 yearsa	285 vs 537	40.4 vs 23.3	0.001	1.64 (1.37–1.97)	2.23 (1.64–3.04)	2.38 (1.69–3.35)
Race
Non-white vs white	608 vs 213	30.6 vs 24.9	0.114	1.07 (0.99–1.17)
Black or Hispanic vs white or  unknown/othera	520 vs 301	31.7 vs 24.6	0.030	1.13 (1.02–1.26)	1.43 (1.03–1.97)	1.21 (0.85–1.72)
Insurance status
No insurance vs any insurancea	384 vs 438	32.9 vs 25.0	0.013	1.19 (1.04–1.35)	1.47 (1.08–1.99)	1.58 (1.13–2.20)
Private vs all others	201 vs 621	30.9 vs 28.7	0.554	1.08 (0.84–1.40)
Symptoms
Any symptoms vs no symptoms	729 vs 93	29.9 vs 23.7	0.212	1.03 (0.98–1.09)
Any discharge vs no dischargea	506 vs 316	40.1 vs 11.7	0.001	1.62 (1.48–1.79)	5.05 (3.43–7.43)	6.45 (4.24–9.81)
Dysuria or discharge vs no dysuria  or discharge	689 vs 133	31.2 vs 18.8	0.004	1.10 (1.04–1.17)
History of a known STD contact
Any STD contact vs no/not stated  STD contacts	203 vs 619	31.5 vs 28.4	0.400	1.12 (0.87–1.44)
Any chlamydia and/or gonorrhea  contact vs other or none/not stated  contactsa	92 vs 730	39.1 vs 27.9	0.026	1.56 (1.05–2.30)	1.66 (1.06–2.60)	2.41 (1.43–4.06)

^aIndicates variables selected for the subsequent model-building process.

Abbreviations: CI, confidence interval; LR, likelihood ratio; OR, odds ratio; STD, sexually transmitted diseases.