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Table 3 Cluster analysis based on fitness and weight catergories

From: Factors associated with low fitness in adolescents – A mixed methods study

Variables

Total Population

Low risk (77.48%)

Invisible at risk (16.36%)

Visibly at risk (6.17%)

 

N = 1,070

Homogeneity = 0.675 N = 829

Homogeneity = 0.698 N = 175

Homogeneity = 0.541 N = 66

Obese

17.5% (180/1,028)

14.6% (120/824)

21.6% (33/153)

52.9% (27/51)

Unfit

36.4% (299/822)

32.3% (219/678)

50.9% (54/106)

68.4% (26/38)

Triglyceride

0.77

0.73

1.37

1.15

CRP

1.23

1.17

2.07

2.03

Fasting Insulin

10.20

9.68

18.69

16.31

Adiponectin

3,887.38

3,882.20

3,832.58

4,063.90

High BP

11.1% (111/1,003)

8.6% (70/811)

21.2% (31/146)

21.7% (10/46)

High Chol

16.4% (114/877)

10.9% (90/825)

58.3% (14/24)

35.7% (10/28)

High Chol:HDL Ratio

4.5% (32/708)

3.3% (22/670)

25.0% (3/12)

26.9% (7/26)

High Glucose

3.7% (29/791)

3.0% (22/744)

12.5% (3/24)

17.4% (4/23)

Asthma

10.0% (107/1,070)

9.2% (76/829)

1.7% (3/175)

42.4% (28/66)

Infection

21.7% (232/1,070)

21.1% (175/829)

4.0% (7/175)

75.8% (50/66)

Tonsillitis

21.1% (226/1,070)

19.2% (159/829)

16.0% (28/175)

59.1% (39/66)

KS1 Test

83.9%

88.7%

74.8%

55.6%

KS2 Test

81.9%

84.5%

74.8%

64.9%

KS3 Test

78.3%

80.2%

62.5%

76.9%

Visit Out

3.47

3.07

4.03

7.00

Visit In

1.18

0.90

1.61

3.50

Visit GP

49.80

47.84

29.51

79.75