Table 3.

Logistic Regression Models of the Association of the Prevalence of Smoking Versus Not and the Smoking Intensity ( or ) With the Prevalence of Confirmed Clinical Neuropathy at 13 Years of Follow-up in the Epidemiology of Diabetes Interventions and Complications Cohort, North America, Circa 2006

Model	Coefficient   (Factor)	Estimate a	SE	P Value	Model χ 2	df	P Value
Noncenteredb 1:		−0.5891	0.3064	0.0545	0.24	1	0.6217
		0.0084	0.0170	0.6217
Noncenteredb 2:		−0.9010	0.0687	<0.0001	6.09	1	0.0136
		0.0232	0.0094	0.0136
Noncenteredb 3:		−0.9170	0.0706	<0.0001	7.19	2	0.0274
		0.0084	0.0170	0.6215
		0.3280	0.3144	0.2969
Centeredc 4:		−0.4610	0.1585	0.0036	0.24	1	0.6217
		0.0084	0.0170	0.6217
Centeredc 5:		−0.8459	0.0643	<0.0001	0.27	1	0.6001
		0.0094	0.0180	0.6001
Centeredc 6:		−0.9170	0.0706	<0.0001	7.19	2	0.0274
		0.0084	0.0170	0.6215
		0.4561	0.1735	0.0086

Abbreviations: df, degrees of freedom; SE, standard error.

^a Estimate is the log odds ratio.

^b Models with noncentered smoking intensities (x, models 1–3).

^c Models with centered intensities (c, after subtracting the mean, models 4–6).