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. 2019 Oct 28;8(4):318–328. doi: 10.7762/cnr.2019.8.4.318

Table 3. Comparison of primary and secondary outcome variables in overweight or obese subjects (n = 21) in the three phases of baseline, after intervention with resistant starch and after placebo for 12 weeks.

Outcomes Baseline After the intervention After the placebo p value*
Serum lipids (mg/dL)
Total cholesterol 183.2 ± 35.4 184.4 ± 36.4 184.0 ± 36.7 0.95
TGs 140.3 ± 59.9 150.4 ± 39.8 153.2 ± 48.7 0.45
HDL-C 40.3 ± 5.6a 41.8 ± 6.0b 41.7 ± 5.9 0.23
LDL-C 89.1 ± 16.8 90.5 ± 20.4 89.6 ± 18.1 0.86
Glycemic variables
FBS (mg/dL) 103.1 ± 7.1 105.3 ± 7.1 106.1 ± 9.7 0.25
Serum insulin (µIU/mL) 20.2 ± 7.4 18.2 ± 5.2 19.6 ± 6.2 0.15
Insulin ≥ 16 24.9 ± 4.2 20.8 ± 4.6 22.7 ± 5.3 0.04
Insulin < 16 11.9 ± 1.3 13.6 ± 1.3 13.4 ± 1.6 0.25
HOMA-IR 5.1 ± 2.0 4.7 ± 1.5 5.0 ± 1.7 0.45
QUICKI 0.306 ± 0.01 0.303 ± 0.01 0.305 ± 0.01 0.64
Antioxidant status
Serum TAS (µmol/L) 968.9 ± 30.7 1,047.1 ± 32.9 819.6 ± 27.6 0.04
Serum SOD activity (U/g Hb) 1,507.4 ± 590.1 1,386.2 ± 499.1 1,326.8 ± 621.5 0.55
Serum MDA (µIU/mL) 2.1 ± 0.1 2.2 ± 0.2 2.2 ± 0.2 0.30
Blood pressure (mm Hg)
SBP 115.0 ± 11.1 115.0 ± 10.9 115.7 ± 12.1 0.91
DBP 80.0 ± 10.0 76.7 ± 11.3 78.8 ± 7.7 0.56
Metabolic characteristics
Weight (kg) 90.5 ± 9.8 90.9 ± 9.4 91.3 ± 8.9 0.16
BMI (kg/m2) 32.5 ± 3.5 32.6 ± 3.4 32.7 ± 3.2 0.16
Waist circumference (cm) 106.4 ± 7.2 105.3 ± 6.1 106.5 ± 5.1 0.21

Values are means ± standard deviations.

TG, triacylglycerol; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; FBS, fasting blood sugar; HOMA-IR, homeostatic model assessment of insulin resistance; QUICKI, quantitative insulin sensitivity check index; TAS, total antioxidant status; SOD, superoxide dismutase; MDA, malondialdehyde; SBP, systolic blood pressure; DBP, diastolic blood pressure; BMI, body mass index .

a,bDifferent alphabet indicates significant difference (p < 0.05) in the same raw by paired t-test. Pairwise comparisons between periods were performed with the use of Bonferroni adjustment to account for multiple comparisons. *The p values were computed by using general linear model analysis of variance for repeated measurements.