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The effect of cooling and reheating sweet potato (ipomoea batatas) on postprandial glycaemic response in females

Published online by Cambridge University Press:  07 March 2019

C. Foster-Brown
Affiliation:
School of Health and Social Sciences, St. Mary's University, Twickenham, TW1 4SX
A. Majumdar
Affiliation:
School of Health and Social Sciences, St. Mary's University, Twickenham, TW1 4SX
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Abstract

Type
Abstract
Copyright
Copyright © The Authors 2019 

Chronic disease arising from postprandial hyperglycaemia and insulinaemia is epidemic in the UK. Rapidly digested carbohydrates are largely responsible for elevated postprandial glycaemic-response (PGR); however, carbohydrates containing resistant starch (RS) reduce post-prandial hyperglycaemia/ insulinaemia(Reference Wong and Louie1Reference Bird and Conlon2). Research shows carbohydrate preparation and processing techniques results in starch retrogradation, increasing resistant starch content(Reference Ratnayake and Jackson3). This study's main aim was to determine the effect cooking, cooling, and reheating sweet potato (RSP) had on RS content by analysing PGR in female participants. Further aims were to investigate whether RSP increased satiety compared to fresh sweet potato (FSP), to establish if significant correlations existed between PGR and participant characteristics, and to explore whether participant menstruation cycles affected PGR to test carbohydrates.

The study was a controlled single-blind (participant was blinded) clinical trial. Ten female participants (20-48years) were recruited to attend 5 testing sessions. At each session fasted participants consumed 50g of carbohydrate; dextrose on the first 3, followed by boiled FSP, and boiled, cooled (24hours(≤4C)) and RSP. On each occasion fasting plasma glucose was measured at -5 and 0mins, and postprandially at 15,30,45,60,90, and 120mins to determine PGR. Hunger Visual Analogue Scales (VAS) were completed at 0,15,30,45,60,90, and 120mins. Participants completed questionnaires relating to medical/ physical activity histories, smoking habits, food allergies, menstrual cycles, and reproductive history.

Results: No statistically significant data was established (p-values <0.05 were significant). However, visual non-significant variation in PGR between FSP and RSP is visible in figure 1. No significant correlations were found between PGR and participants characteristics. As participants were tested independent of menstrual cycles, no significant findings were established for whether participants menstrual cycles affected PGR to test carbohydrates (dextrose, FSP, and RSP). Discussion: Research shows the longer and colder starch is cooled for (≤4C), the higher amount of RS3 is formed. This study did not identify variations of satiety based on FSP versus RSP status; this may have resulted from appetite variations affected by menstrual fluctuations of oestrogen levels. No significant correlations were found between PGR and participants characteristics. Participants were tested independent of menstrual cycle status, and no significant findings were established for whether participant menstrual cycles affected PGR to test carbohydrates (dextrose, FSP, and RSP).

Fig. 1. PGR for participants for all three carbohydrates. Error bars represent ± 1SD.

Although non-significant, the visible difference in PGR between RSP and FSP may warrant further research with larger sample sizes and oestrogen status measurement to further explore the issue of RS, PGR and menstrual status.

References

1.Wong, THT & Louie, JCY. Starch. 2017;69:1600205–14.10.1002/star.201600205Google Scholar
2.Bird, AR, Conlon, MA, et al. Benef Microbes. 2010;1(4):423–31.10.3920/BM2010.0041Google Scholar
3.Ratnayake, WS & Jackson, DS. Adv Food Nutr Res. 2009;55:221–68.Google Scholar
Figure 0

Fig. 1. PGR for participants for all three carbohydrates. Error bars represent ± 1SD.