Table 2.

Linear regression analyses of the association between sleep quality with appendicular lean mass, handgrip strength and quality of life outcomes.

Outcome	Crude model			Model 1a			Model 2b
	β	95% IC	p value	β	95% IC	p value	β	95% IC	p value
ALM	− 0.14	− 0.33 to 0.06	0.164	− 0.10	− 0.23 to 0.04	0.153	− 0.13	− 0.25 to − 0.01	0.03
ALM/BMI	− 0.01	− 0.01 to 0.01	0.080	− 0.01	− 0.02 to − 0.01	0.035	− 0.01	− 0.02 to 0.01	0.05
Handgrip strength	− 0.23	− 0.55 to 0.10	0.167	− 0.17	− 0.43 to 0.09	0.192	− 0.20	− 0.46 to 0.07	0.140
Handgrip strength/BMI	− 0.01	− 0.02 to 0.01	0.101	− 0.01	− 0.01 to 0.01	0.141	− 0.01	− 0.01 to 0.01	0.159
SF-36—physical domain	− 2.75	− 3.87 to − 1.64	< 0.001	− 2.76	− 3.85 to − 1.66	< 0.001	− 2.76	− 3.82 to − 1.70	< 0.001
SF-36—mental domain	− 2.37	− 3.50 to − 1.25	< 0.001	− 2.39	− 3.51 to − 1.27	< 0.001	− 2.25	− 3.38 to − 1.12	< 0.001
Geriatric anxiety inventory	0.60	0.31 to 0.90	< 0.001	0.32	0.31 to 0.90	< 0.001	0.57	0.26 to 0.87	< 0.001
Geriatric depression scale	0.32	0.15 to 0.50	< 0.001	0.32	0.15 to 0.50	< 0.001	0.31	0.13 to 0.49	< 0.001

ALM appendicular lean mass, BMI body mass index, SF-36 short form (36) health survey.

Significant values are given in bold.

^aLinear regression models were adjusted by age (as continuous variable) and sex (male or female).

^bLinear regression models were adjusted by age (as continuous variable), sex (male or female), body mass index (as continuous variable), type II diabetes (yes or no), pulmonary diseases (yes or no), psychiatric diseases (yes or no), hypertension (yes or no) and rheumatic disease (yes or no).