Relationship between muscle mass and muscle strength, and the impact of comorbidities: a population-based, cross-sectional study of older adults in the United States

Table 2 Results of multiple linear regression modeling on muscle strength ^a

Exploratory variable	Number of patients with comorbidity (%)^b	Regression coefficient for aASM (95% CI)^d	Regression coefficient for exploratory variable(95% CI)^d	Significant level of the interaction effect (aASM by studied variable)^e
aASM^c	—	31.6 (27.2, 36.0)***	—	—
Diabetes	364 (10%)	32.7(28.3, 37.0)***	−27.1 (12.0, 42.1)**	NS
Coronary Heart Disease/Congestive Heart Failure	177 (10%)	34.5(29.3, 39.8)***	−20.7 (−36.1, -5.3)*	NS
Vision Problem	366 (19%)	34.0(28.7, 39.2)***	−20.1 (−34.4, -5.7)*	NS
BMI	—	46.4 (38.1, 54.7)***	−3.7 (−5.4, -2.1)**	*
Arthritis	638 (39%)	35.1(29.9, 40.4)***	−19.6 (−27.4, -11.8)***	*
Asthma	158 (11%)	34.1 (28.8, 39.5)***	−6.4 (−26.3, 13.6)	**
Osteoporosis	189 (8%)	31.8(27.4, 36.2)***	−12.3 (−22.0, -2.6)*	**
Cancer	222 (14%)	34.3(28.9, 39.8)***	6.7 (−6.1, 19.6)	NS
Chronic Bronchitis / Emphysema	136 (9%)	34.0(28.7, 39.4)***	−9.2 (−20.6, 2.3)	NS

Abbreviations: aASM height-adjusted appendicular skeleton muscle mass, BMD bone mass density, BMI body mass index, CI confidence interval, NS not significant (P > 0.05).
^aAll estimates weighted according to sampling design.
^bProportions are calculated based on subjects with non-missing data.
^cModel 1: Exploratory variables include aASM, age, and gender.
^dModel 2: Exploratory variables include the studied variable, aASM, age, and gender.
^eModel 3: Exploratory variables include the studied variable, aASM, studied variable by aASM interaction, age, and gender.
*P < 0.05, **P < 0.01, ***P < 0.001.

ISSN: 1471-2318