Pre-exercise ingestion of a low glycaemic index rice-based mixed meal increases fat oxidation and endurance running performance in a hot-humid environment
Relative to exercise in a thermoneutral environment, there is only limited evidence demonstrating that a low glycaemic index (LGI) pre-exercise meal can enhance endurance exercise performance in a hot-humid (HH) condition. Also, previous studies predominantly utilised Western-based and single food items, with minimal focus on Asian-based mixed meals. This study aimed to investigate the impact of pre-exercise LGI and high glycaemic index (HGI) rice-based mixed meals on endurance performance among acclimatised trained athletes in HH condition (32 °C, 65% relative humidity). Twelve native-born endurance-trained male runners (age 22.0 ± 5.8 years; peak oxygen consumption (V̇O<sub>2peak</sub>) 64.2 ± 5.5 mL kg<sup>-1</sup> min<sup>-1</sup>) completed two trials consisting of 45 min steady-state (SS) run at 70% V̇O<sub>2peak</sub> followed by 10 km performance run (TT<sub>10km</sub>). Three hours before exercise, participants consumed an isocaloric rice-based mixed meals containing either LGI (GI value = 47) or HGI (GI value = 80), providing 1.3 g of carbohydrate (CHO) per kg of body mass. Participants ran faster during TT<sub>10 km</sub> after consuming the LGI meal compared to the HGI meal (LGI: 55.18 ± 1.22 vs. HGI: 57.03 ± 2.25 min, <i>p</i> = 0.010). End rectal temperature did not significantly differ between trials (LGI: 39.16 ± 0.74 vs. HGI: 38.95 ± 0.46 °C, <i>p</i> = 0.352). Fat oxidation was higher during the SS run in the LGI compared to the HGI trial (LGI: 0.19 ± 0.05 vs. HGI: 0.13 ± 0.19 g min<sup>-1</sup>, <i>p</i> = 0.001). This study demonstrated that, relative to HGI, consuming a pre-exercise LGI rice-based mixed meal enhanced endurance performance in HH environment among acclimatised trained male athletes.
Authors
- Ahmad Munir Che Muhamed (ORCID: https://orcid.org/0000-0002-0254-6838)
- Nik Shanita Safii (ORCID: https://orcid.org/0000-0003-0789-1486)
- Zaini Bahari (ORCID: https://orcid.org/0000-0002-9458-6924)
- Abdul Rashid Aziz (ORCID: https://orcid.org/0000-0002-7727-7484)
Institutions
- Universiti Putra Malaysia (MY)
- Universiti Sains Malaysia (MY)
- Singapore Institute of Technology (SG)
- National University of Malaysia (MY)
Publication Details
- Journal
- Applied Physiology Nutrition and Metabolism
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1139/apnm-2024-0219
- Primary Topic
- Muscle metabolism and nutrition
- Type
- article
- Field-Weighted Citation Impact
- 0.00