. 2020 Dec 19;13(1):944–956. doi: 10.18632/aging.202209

Table 3C. Multivariable analyses of muscle mass and metabolite associations in all participants.

All	Q1	Q4	P	Parameter Estimate (SE) Before Adjustment	Parameter Estimate (SE) After Adjustment	Multivariable –Stepwise
All	(N=76)	(N=77)	(Q1 vs Q4)	Parameter Estimate (SE) Before Adjustment	Parameter Estimate (SE) After Adjustment	P-value
Age, yrs	80.24±7.96	83.14±6.81	0.3969	0.0532 (0.0225)	NA
Glu, μM	62.49±29.36	42.76±14.15	6.65E-07	-0.0413 (0.0093)	-0.0440 (0.0102)	4.07E-05
Cit/Orn	0.29±0.09	0.37±0.12	4.82E-05	7.1674 (1.9484)	6.7456 (2.1960)	0.0021
DOPA, μM	0.17±0.05	0.17±0.04	0.2747	3.9774 (3.6411)	9.8519 (4.6787)	0.0352
alpha_AAA, μM	0.99±0.34	0.78±0.24	2.56E-05	-2.6296 (0.6673)	NA

Data are mean ± SD. SE: Standard Error. Variables were analyzed by independent samples t-tests or Chi-square test (age). Multiple logistic regression models were used to analyze the effect of gender on the dependent variable controlling for age and comorbidities, including hypertension, diabetes, hyperlipidemia, coronary artery disease (CAD), cancer, stroke, chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), and osteoporosis. Model significance was presented in adjusted P-value.