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Table 2 Cardiometabolic risk factors between groups with low, intermediate and high sedentary time

From: The potential harms of sedentary behaviour on cardiometabolic health are mitigated in highly active adults: a compositional data analysis

 

Low (n = 20)

Intermediate (n = 20)

High (n = 21)

p-value

Cardiovascular health

    

Systolic blood pressure (mm Hg)

118 ± 10

120 ± 14

118 ± 10

0.818

Diastolic blood pressure (mm Hg)

71 ± 9

73 ± 7

71 ± 7

0.553

Mean arterial pressure (mm Hg)

87 ± 9

89 ± 8

87 ± 7

0.600

Resting heart rate (bpm)

62 ± 6

61 ± 7

59 ± 9

0.129

Total cholesterol (mmol/L)

4.27 ± 0.65

4.22 ± 0.77

4.05 ± 0.82

0.619

HDL cholesterol (mmol/L)

1.61 ± 0.47

1.47 ± 0.28

1.62 ± 0.43

0.402

LDL-cholesterol (mmol/L)

2.30 ± 0.46

2.34 ± 0.75

2.04 ± 0.67

0.446

Triglycerides (mmol/L)

0.75 ± 0.22

0.89 ± 0.27

0.81 ± 0.24

0.190

CCMR

− 0.03 ± 0.63

0.12 ± 0.78

− 0.09 ± 0.41

0.547

Glucose tolerance

    

Fasting glucose (mmol/L)

5.2 ± 0.4

5.1 ± 0.4

5.1 ± 0.3

0.963

Fasting insulin (pmol/L)

56 ± 57

45 ± 20

44 ± 28

0.574

Glucose 120 min (mmol/L)

4.9 ± 1.4

5.1 ± 1.2

5.3 ± 1.5

0.738

Insulin 120 min (pmol/L)a

139 ± 70

189 ± 101

188 ± 139

0.511

Matsuda index

8.16 ± 2.89

8.42 ± 3.90

8.47 ± 3.21

0.955

IGIa

90 ± 112

80 ± 122

142 ± 76

0.103

HOMA-IRa

1.44 ± 0.51

1.49 ± 0.77

1.47 ± 0.98

0.979

HOMA-B (%)a

101.3 ± 101.9

80.7 ± 29.5

77.9 ± 42.2

0.468

mISI

0.37 ± 0.24

0.29 ± 0.15

0.33 ± 0.19

0.476

HIRI

21.8 ± 8.2

24.8 ± 6.6

27.0 ± 5.2

0.056

  1. Data are expressed as mean ± SD
  2. BP  blood pressure, bpm  beats per minute, CCMR  clustered cardiometabolic risk score, HDL  high-density lipoprotein, HIRI hepatic insulin resistance index, HOMA-B  homeostatic model assessment of β-cell function, HOMA-IR  homeostatic model assessment of insulin resistance, HOMA-S  homeostatic model assessment of insulin sensitivity, IGI  insulinogenic index, LDL  low-density lipoprotein, mISI  muscle insulin sensitivity index
  3. *p < 0.05. aDifferences between groups were assessed using the Kruskal–Wallis test due to the abnormal distribution of the data