. Author manuscript; available in PMC: 2016 Nov 1.

Published in final edited form as: Psychosom Med. 2015 Nov-Dec;77(9):959–968. doi: 10.1097/PSY.0000000000000232

Table 4.

Results of Logistic Regression Analyses Examining Associations of Self-Reported History of Colds and Expectations of Illness with Risk of Developing a Cold in Pittsburgh Cold Study 1 Analysis.

	Descriptive Data			Association with Colds
SRH Variable	n	Median	Range	OR^a	95% CI	p
Average number of colds per year	270	2.0	0 to 10	1.13	0.91, 1.40	.273
Number of colds in past year	271	1.0	0 to 10	1.04	0.83, 1.31	.739
Duration of most recent cold (days)	242	4.0	0 to 42	1.14	1.02, 1.28	.025
Likelihood of getting a cold ^b	275	1.0	0 to 4	1.21	0.91, 1.61	.187

Analyses adjust for age, sex, race, virus, pre-challenge Ab, season, and body mass index

Response scale: 0 = not at all likely, 1 = a little likely, 2 = moderately likely, 3 = quite likely, 4 = extremely likely