Table 2.

Regression analyses examining the relationship between control variables (age, gender, ethnicity, education, marital status, alcohol use, BMI, cigarette use, and exercise) and medical conditions

	Cons^a	Age^d	Gender (ref group = male)	Ethnicity (ref group = Caucasian)		Education	Marital Status	Alcohol use	BMI^d	Cig	Exercise^c
				Hisp	Black

Negative Binomial Regression (b)^b

# Med Cond	.94	.33^***	.10	−.15^*	.15^*	−.14^***	−.17^***	−.03^**	.12^***	.08	.08^**

Logistic Regressions (Odds Ratio)

Asthma		.82^*	1.38	.72	1.21	.78	.75	.97	1.17^*	1.20	1.00
Diabetes		2.26^***	.59^*	1.27	2.40^**	1.01	.67	.91	1.85^***	1.14	.99
Hypertension		2.04^***	.52^***	.74	2.31^***	.94	.66^**	1.00	1.71^***	.83	1.28^**
Arthritis		3.47^***	1.36	.51^*	1.36	.69^*	.78	.91^*	1.39^***	1.10	1.17
Heart Disease		1.77^***	.65	.21^*	1.23	.55^**	.93	.95	.92	1.47	1.32^*
Back Problems		1.66^***	.99	.67	.78	.75^*	.84	.93	1.24^**	1.31	1.30^***
Ulcer		1.25^*	1.24	1.00	.86	.70^*	.67	.97	.98	1.09	1.10
Inflamed Bowel		1.90^***	1.60	1.13	.14^**	.86	1.02	.89	.86	.97	1.10
Thyroid		1.69^***	5.91^***	1.17	1.14	1.08	1.06	.86^*	1.24^*	1.43	.85
Migraine		1.05	1.80^***	.78	1.04	.87	.92	.98	.94	.93	1.12
Eyesight		1.66^***	1.24	1.17	2.18^***	.73^*	.58^***	.98	1.12	1.23	1.10

Note.

p ≤ .05;

^**

p ≤ .01;

^***

p ≤ .001; cons=constant, ref group=reference group, BMI=body mass index, cig=cigarette use, Hisp=Hispanic, med cond=medical conditions

Number of medical conditions of a single, Caucasian male with <12 years of education, no alcohol use in the past 6 months, <100 cigarettes smoked over lifetime, who exercises regularly, and with the average age and BMI of the sample

b=change in number of medical conditions for a one unit change in the predictor variable

Higher numbers indicate less exercise

z-scored variable in regression with mean=0 and standard deviation=1