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. 2019 Dec 30;26(6):67–76. doi: 10.21315/mjms2019.26.6.7

Table 5.

The association between percentile intake of polyphenol and adiposity indices [presented as n (%)]

Adiposity indexes Indicator n Percentile intake of polyphenol (mg/day) χ2 P-value

< 25th (< 1333) 25th–50th (1334–1697) 50th–75th (1698–2164) > 75th (> 2165) P-value
BMI 0.745 5.95 -
 Underweight < 18.5 5 1 (20.0) 2 (40.0) 1 (20.0) 1 (20.0)
 Normal 18.5–24.9 73 17 (23.3) 19 (26.0) 17 (23.3) 20 (27.4)
 Overweight 25.0–29.9 86 19 (22.1) 18 (20.9) 23 (26.7) 26 (30.2)
 Obese ≥ 30 63 19 (30.2) 18 (28.6) 16 (25.4) 10 (15.9)
Neck circumference (cm)
 Normal M: < 38; W: < 35 94 23 (24.5) 15 (16.0) 27 (28.7) 29 (30.9) 0.040* 8.30 0.032**
 High M: ≥ 38; W: ≥ 35 133 33 (24.8) 42 (31.6) 30 (22.6) 28 (21.1)
Waist circumference (cm)
 Normal M: < 80; W: < 90 68 11 (16.2) 15 (22.1) 17 (25.0) 25 (36.8) 0.038* 8.45 0.214
 High M: ≥ 80; W: ≥ 90 159 45 (28.3) 42 (26.4) 40 (25.2) 32 (20.1)
Body fat percentage
 Normal M: < 25; W: < 35 75 13 (17.3) 15 (20.0) 26 (34.7) 21 (28.0) 0.045* 8.06 0.067
 High M: ≥ 25; W: ≥ 35 152 43 (28.3) 42 (27.6) 31 (20.4) 36 (23.7)

Notes:

*

significant at P < 0.050 by X2 test

**

significant at P < 0.050 by binomial logistic regression after adjustment of age, income level, caloric intake, physical activity level