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Table 4 Distribution of excess fat according to indicators of physical activity, sedentary lifestyle, socioeconomic data, active transportation and biochemical data for females

From: Prevalence of excessive body fat among adolescents of a south Brazilian metropolitan region and State capital, associated risk factors, and consequences

Variables

Condition

Excess body fat

P

Odds ratio (95% CI)

No

Yes

Waist Circumference(n = 203)

Normal

16 (7.9%)

184 (90.6%)

0.610

Elevated

0 (0%)

3 (1.5%)

Physical Activity (n = 203)

Active

11 (5.4%)

95 (46.8%)

0.168

Inactive

5 (2.5%)

92 (45.3%)

Sedentary Lifestyle (n = 203)

Yes

10 (4.9%)

151 (74.4%)

0.084

No

6 (3.0%)

36 (17.7%)

Aggregate factorsa (n = 203)

No Factor

4 (2.0%)

15 (7.4%)

0.001

3.0 (0.8–10.9)

1 Factor

9 (4.4%)

101 (49.8%)

2 Factors

3 (1.5%)

71 (35.0%)

6.3 (1.3–31.2)

Active Transportation (n = 179)

Yes

3 (1.7%)

61 (34.1%)

0.244

No

11 (6.1%)

104 (58.1%)

Socioeconomic profile (n = 136)

Low

4 (2.0%)

46 (22.7%)

0.312

Medium

6 (3.0%)

72 (35.5%)

High

2 (1.0%)

6 (3.0%)

Triglycerides (n = 197)

Normal

15 (7.6%)

1 (0.5%)

0.315

High

148 (75.1%)

33 (16.8%)

Cholesterol Total (n = 197)

Normal

11 (5.6%)

39 (19.8%)

0.000

8.0 (2.6–24.4)

High

5 (2.5%)

142 (72.1%)

Blood Glucose (n = 193)

Normal

16 (8.3%)

176 (91.2%)

0.763

High

0 (0%)

1 (0.5%)

  1. aAggregate factors: a) adequate physical activity and not sedentary (classified as “no factor”); b) either no physical activity or sedentary (classified as “1 factor”); c) low levels of physical activity and sedentary (classified as “2 factors”)