. Author manuscript; available in PMC: 2013 Oct 1.

Published in final edited form as: Sex Transm Dis. 2012 Oct;39(10):756–760. doi: 10.1097/OLQ.0b013e318265a951

TABLE 2.

Individual Level Analysis of Condom Use Errors and Problems by No. Events

	Error/Problem Occurred in at Least One of the Individual's Events			Error/Problem Occurred in at Least 25% of the Individual's Events

	[lt]10 Events	[mtequ]10 Events	Est OR (95% CI) P	[lt]10 Events	[mtequ]10 Events	Est OR (95% CI) P

	No. (%)	No. (%)		No. (%)	No. (%)

	n = 297	n = 312		n = 297	n = 312
Condom not new	70 (23.6)	120 (38.5)	2.03 (1.43, 2.88)	35 (11.8)	10 (3.2)	0.25 (0.12, 0.51)
Condom not new			[lt]0.0001			[lt]0.0001

Condom contacted sharp object	21 (7.1)	60 (19.2)	3.13 (1.85, 5.29)	17 (5.7)	8 (2.6)	0.43 (0.18, 1.02)
Condom contacted sharp object			[lt]0.0001			0.06
Incomplete use	113 (38.1)	248 (79.5)	6.31 (4.40, 9.05)	72(24.2)	80 (25.6)	1.08 (0.75, 1.56)
Incomplete use			[lt]0.0001			0.71
Condom dried out	98 (33.0)	213 (68.3)	4.37 (3.11, 6.14)	66 (22.2)	67(21.5)	0.96 (0.65, 1.41)
Condom dried out			[lt]0.0001			0.84
Erection loss during sex	86 (29.0)	183 (58.7)	3.48 (2.48, 4.88)	56 (18.9)	47 (15.1)	0.76 (0.50, 1.17)
Erection loss during sex			[lt]0.0001			0.23
Breakage during sex	52 (17.5)	158 (50.6)	4.83 (3.33, 7.02)	28 (9.4)	13 (4.2)	0.42 (0.21, 0.82)
Breakage during sex			[lt]0.0001			0.01
Slippage during sex	61 (20.5)	130 (41.7)	2.76 (1.93, 3.96)	31 (10.4)	16 (5.1)	0.46 (0.25, 0.87)
Slippage during sex			[lt]0.0001			0.02
Slippage after sex	59 (19.9)	141 (45.2)	3.33 (2.32, 4.78)	34 (11.5)	14 (4.5)	0.36 (0.19, 0.69)
Slippage after sex			[lt]0.0001			0.002

In this table, individuals rather than events are the units of analysis. Since the distribution of events per individual was highly skewed (minimum 1, first quartile 4, median 10, third quartile 22, maximum 206, mean 18.1, standard deviation 23.5), as were the distributions of the fractions of events with errors/problems, we used a median split for events per individual and then compared those with more events to those with fewer events on: (i) whether their fractions of events with errors/problems were nonzero, and (ii) whether their fractions of events with errors/problems were [mtequ]25%. Standard formulas for odds ratio estimates (Est OR) and 95% confidence intervals (CI) were used; P values were obtained via Fisher exact test.