Indeed, compared with no-GIS, incidence of GIS were associated with (1) lower daily energy, carbohydrate, and fat intakes; (2) lower energy and carbohydrate intakes during running; and (3) poorer recovery nutrition throughout the MSUM.
Despite the presence of GIS being associated with a slower time to completion (28 h 43 min ± 4 h 32 min; 7.9 ± 1.3 km/h) compare with no-GIS (25 h 52 min ± 4 h 12 min; 8.9 ± 1.3 km/h), no significant difference in GIS was observed for running speed.
Our findings showed that all 14 policies implemented in GIS were independently associated with walking in the residential neighbourhood.
On the contrary to the MSUM, the presence of GIS was not associated with a lower distance covered over the 24 h (166 ± 28 km; 6.9 ± 1.2 km/h) compare with no-GIS (139 ± 15 km; 5.8 ± 0.6 km/h).
GIS-based analyses associated with numerical modeling are improving our understanding of glacial landscape evolution and are allowing new quantitative and systematic examinations of spatial and temporal patterns of glacial landforms and processes.
On this occasion, during both the MSUM and 24 h, the type of carbohydrates consumed (i.e. quantity of highly resistant and fermentable carbohydrates associated with GIS [48]) did not differ between GIS and no-GIS.
GIS during MSUM were associated with reduced total daily, during, and post-stage energy and macronutrient intakes (p < 0.05), whereas GIS during 24 h did not alter nutritional variables.
Incidence and severity of GIS appeared to be associated with greater disturbances to daily energy balance, reduced daily macronutrient intake, and reduced nutritional intake during running and recovery throughout the MSUM, but not the 24 h.
The presence of GIS appeared to be associated with greater disturbances to daily energy balance, reduced daily macronutrient intake, and reduced nutritional intake during running and recovery throughout the MSUM.
Uncertainties associated with GIS-Multicriteria for landslide susceptibility mapping are systematically explored.
