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Table 1 Characteristics of the study population by gender

From: Low skeletal muscle mass is associated with arterial stiffness in community-dwelling Chinese aged 45 years and older

 MenWomenpa
N639014,087 
Age (years)62.87 ± 8.0760.30 ± 8.00< 0.0001
High education level (%)14.7611.05< 0.0001
Current smokers (%)31.842.27< 0.0001
Current alcohol user (%)40.308.03< 0.0001
Regular exercise (%)20.0918.41< 0.0001
Type 2 diabetes (%)11.079.86< 0.0001
Hypertension (%)30.7626.65< 0.0001
Height (cm)168.6 ± 5.88158.24 ± 5.35< 0.0001
Weight (kg)69.78 ± 10.5261.13 ± 9.35< 0.0001
BMI (kg/m2)24.51 ± 3.2324.39 ± 3.400.014
SMM (kg)49.36 ± 6.1838.13 ± 4.32< 0.0001
LAMM (kg)3.30 ± 0.482.50 ± 0.33< 0.0001
RAMM (kg)3.31 ± 0.492.49 ± 0.35< 0.0001
LLMM (kg)9.05 ± 1.287.00 ± 0.93< 0.0001
RLMM (kg)9.06 ± 1.276.99 ± 0.90< 0.0001
TMM (kg)24.65 ± 2.7819.16 ± 1.96< 0.0001
ASM (kg)24.72 ± 3.4718.98 ± 2.42< 0.0001
ASMI (kg/m2)8.68 ± 0.987.57 ± 0.78< 0.0001
BFP (%)23.50 (19.70, 26.90)31.80 (28.50, 34.70)< 0.0001
baPWV (cm/s)1650.00 (1449.00, 1894.00)1567.00 (1372.00, 1822.00)< 0.0001
SBP (mmHg)137.41 ± 19.00135.87 ± 20.63< 0.0001
DBP (mmHg)81.32 ± 10.9578.34 ± 11.14< 0.0001
PP (mmHg)58.00 ± 12.1959.58 ± 13.13< 0.0001
ABI1.21 ± 0.0121.18 ± 0.10< 0.0001
MAP (%)39.85 ± 3.9342.50 ± 3.46< 0.0001
UT (s)144.00 (133.00, 160.00)156.00 (142.00, 174.00)< 0.0001
  1. Values are percentage, mean ± SD or medians (25th and 75th percentile)
  2. Abbreviations: BMI Body mass index, SMM Total muscle mass, LAMM Left arm muscle mass, RAMM Right arm muscle mass, LLMM Left arm muscle mass, RLMM Right leg muscle mass, TMM Trunk muscle mass, BFP total body fat percentage, ASM Appendicular skeletal muscle, ASMI Appendicular skeletal muscle index, baPWV Brachial-ankle pulse wave velocity, SBP Systolic blood pressure, DBP Diastolic blood pressure, PP Pulse pressure, ABI Ankle brachial index, MAP Mean artery pressure, UT Upstroke time
  3. aTest for difference between gender groups was performed using the Chi-square test for categorical variables, Kruskal–Wallis test for non-normally distributed continuous variables and T test for normally distributed continuous variables