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

From: 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

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
aASMc 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
  1. 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).
  2. aAll estimates weighted according to sampling design.
  3. bProportions are calculated based on subjects with non-missing data.
  4. cModel 1: Exploratory variables include aASM, age, and gender.
  5. dModel 2: Exploratory variables include the studied variable, aASM, age, and gender.
  6. eModel 3: Exploratory variables include the studied variable, aASM, studied variable by aASM interaction, age, and gender.
  7. *P < 0.05, **P < 0.01, ***P < 0.001.