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Table 1 Characteristics of schoolchildren and adolescents [mean (SD) or frequencies], by sex

From: Aerobic capacity and future cardiovascular risk in Indian community from a low-income area in Cauca, Colombia

 

Total

(n = 576)

Boys

(n = 319)

Girls

(n = 257)

P-value

Morphologic component

 Age (years)

14.3 ± 2.2

14.4 ± 2.2

14.1 ± 2.2

0.198

 Weight (kg)

46.1 ± 10.6

46.3 ± 11.3

45.8 ± 9.7

0.634

 Height (m)

148.2 ± 11.6

150.4 ± 13.1

145.4 ± 8.8

0.000

 Body mass index (kg/m2)

20.7 ± 2.7

20.1 ± 2.2

21.5 ± 3.1

0.001

 Body mass index (z-score)

0.13 ± 0.54

−0.02 ± 0.87

0.44 ± 0.72

0.001

 Waist circumference (cm)

70.0 ± 7.3

69.1 ± 6.6

71.1 ± 8.0

0.001

 Subscapular skinfold (mm)

10.3 ± 3.7

8.3 ± 2.6

12.8 ± 3.3

0.001

 Triceps skinfold (mm)

12.5 ± 6.1

9.2 ± 3.2

16.6 ± 6.5

0.001

 BF (%)

21.8 ± 5.5

19.8 ± 4.5

24.2 ± 5.7

0.001

Weight status n (%)a

 Normal weight (≥ P5 to < P85)

494 (85.8)

302 (94.7)

192 (74.7)

0.001

 Overweight (≥ P85 to < P95)

77 (13.4)

15 (4.7)

62 (24.1)

0.001

 Obese (≥ P95)

5 (0.9)

2 (0.6)

3 (1.2)

0.001

Maturation status (%)

 Prepubescent/Pubescent/Postpubescent

30.6/35.7/33.7

34.6/30.3/35.1

34.8/30.0/ 35.1

0.309

Cardiorespiratory component

 20-m shuttle run (stage)

7.2 ± 2.5

8.6 ± 2.2

5.5 ± 1.8

0.001

 VO2max (mlakgamin−1)

47.7 ± 6.7

51.5 ± 4.7

43.1 ± 5.9

0.001

 Future cardiovascular risk n (%)

42 (7.3)

12 (3.8)

30 (11.7)

0.001

  1. Mean ± standard deviation, except weight status and future cardiovascular risk (%). Total: sample of boys and girls together. Differences between boys and girls calculated using one-way analysis of variance and weight status, tanner stage or future cardiovascular risk by X2 test. Body fat percentage (BF%)
  2. a Weight status was assessed by following the IOFT criteria, according to which individuals with a BMI below the 5th percentile and below the 85th percentile are well-nourished (normal weight); individuals at or above the 85th percentile are overweight; and those at or above the 95th percentile are obese [23]