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Original Article

Effects of Vitamin C Supplementation on Plasma and Urinary Vitamin C Concentration in Korean Women

Clinical Nutrition Research 2017;6(3):198-205.
Published online: July 28, 2017

1Department of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Yongin 17104, Korea.

2Research Institute of Medical Nutrition, Kyung Hee University, Seoul 02447, Korea.

Correspondence to Hyunjung Lim. Department of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin 17104, Korea. Tel: +82-31-201-2343, Fax: +82-2-969-7717, hjlim@khu.ac.kr

*Jayoung Choi and Do-Yeon Kim contributed equally to this manuscript.

• Received: July 4, 2017   • Revised: July 15, 2017   • Accepted: July 22, 2017

Copyright © 2017. The Korean Society of Clinical Nutrition

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Effects of Vitamin C Supplementation on Plasma and Urinary Vitamin C Concentration in Korean Women
Clin Nutr Res. 2017;6(3):198-205.   Published online July 28, 2017
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Effects of Vitamin C Supplementation on Plasma and Urinary Vitamin C Concentration in Korean Women
Clin Nutr Res. 2017;6(3):198-205.   Published online July 28, 2017
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Effects of Vitamin C Supplementation on Plasma and Urinary Vitamin C Concentration in Korean Women
Effects of Vitamin C Supplementation on Plasma and Urinary Vitamin C Concentration in Korean Women
Table 1 Age and anthropometric measurements between pre- and post-intervention according to vitamin C supplementation

Data are mean ± SD. No significantly difference between pre- and post-intervention by paired t-test at p < 0.05. No significantly difference among groups by ANOVA and Duncan's multiple range test.

BMI, body mass index; BFM, body fat mass; SBP, systolic blood pressure; DBP, diastolic blood pressure; SD, standard deviation; ANOVA, analysis of variance.

Table 2 Plasma vitamin C concentration between pre- and post-intervention according to vitamin C supplementation

Data are mean ± SD. No significant difference among groups by ANOVA and Duncan's multiple range test.

SD, standard deviation; ANOVA, analysis of variance.

*Significantly different between pre- and post-intervention by paired t-test at p < 0.05. Change (%) = (post − pre)/pre × 100.

Table 3 Urinary vitamin C excretion between pre- and post-intervention according to vitamin C supplementation

Data are mean ± SD. No significant difference among groups by ANOVA and Duncan's multiple range test.

SD, standard deviation; ANOVA, analysis of variance.

*Significantly different between pre- and post-intervention by paired t-test at p < 0.05. Change (%) = (post − pre)/pre × 100.

Table 4 Oxidative stress biomarkers between pre- and post-intervention according to vitamin C supplementation

Data are mean ± SD. No significant difference among groups by ANOVA and Duncan's multiple range test.

SOD, superoxide dismutase; TBARS, thiobarbituric acid reactive substance; SD, standard deviation; ANOVA, analysis of variance.

*Significantly different between pre- and post-intervention by paired t-test at p < 0.05. Change (%) = (post − pre)/pre × 100.

Table 5 Nutrient intakes between pre- and post-intervention according to vitamin C supplementation

Data are mean ± SD. No significant difference among groups by ANOVA and Duncan's multiple range test.

CHO, carbohydrate; C:P:F, carbohydrate:protein:fat; SD, standard deviation; ANOVA, analysis of variance.

*Significantly different between pre- and post-intervention by paired t-test at p < 0.05.

Table 6 FSS between pre- and post-intervention according to vitamin C supplementation

Data are mean ± SD. FSS total score range from 1 to 7; higher scores indicate greater problems with fatigue [7]. No significant difference among groups by ANOVA and Duncan's multiple range test.

FSS, fatigue severity scale; SD, standard deviation; ANOVA, analysis of variance.

*Significantly different between pre- and post-intervention by paired t-test at p < 0.05. Change (%) = (post − pre)/pre × 100.