. Author manuscript; available in PMC: 2009 Sep 1.

Published in final edited form as: Mech Ageing Dev. 2008 Apr 30;129(9):522–527. doi: 10.1016/j.mad.2008.04.008

Table 3.

General linear model testing the relationship between baseline uric acid tertiles and follow-up handgrip after adjusting for baseline handgrip and other relevant confounders. The initial fully adjusted model was reduced to a "most parsimonious" model by using backward selection (p < 0.05).

Final Model: Obs = 497; F = 432; Prob > F < 0.001; Adjusted R² = 0.782.
Follow-up Handgrip (Kg)	β ± SE (β)	p
Age (years)	−0.35 ± 0.04	< 0.001
Female sex	− 8.70 ± 0.61	< 0.001
Uric Acid tertiles (trend)	0.70 ± 0.29	0.016
- Uric Acid 1^st tertile (< 4.4 mg/dL) (reference)	------	------
- Uric Acid 2^nd tertile (4.4 – 5.5 mg/dL)	1.08 ± 0.53	0.047
- Uric Acid 3^rd tertile (> 5.5 mg/dL)	1.41 ± 0.58	0.015
Baseline Handgrip (Kg)	0.41 ± 0.03	< 0.001

The initial fully adjusted model included: age, sex, BMI, hypertension, chronic heart failure, HDL-cholesterol, triglycerides, creatinin, HOMA-R index, α- and γ-tocopherol, C-reactive protein, interleukin 1 receptor antagonist, interleukin 6, vitamin C intake, number of medications, use of diuretics and baseline handgrip.