Exact(4)
Conversely, higher daily water intake was observed in participants reporting GIS (vs. no-GIS).
Conversely, higher water intake during running was observed in participants reporting GIS (vs. no-GIS).
Rate of carbohydrate intake during running was also significantly lower (−8 g/h) in participants reporting GIS (p < 0.01 vs. no-GIS) (Fig. 4).
Moreover, daily and during running water intakes (through foods and fluids) were observed to be greater in ultramarathon runners reporting GIS.
Similar(55)
We report GIS-based methods for systematically allocating monitors across locally-specific pollution source and topography profiles, and address challenges of distinguishing spatial and temporal components of local pollution variation in different pollutants by comparing two temporal adjustment approaches.
Severity of GIS was classified as low, moderate, and high based on the incidence of GIS reported (1 GIS, 2 3 GIS, and ≥4 GIS; respectively).
They gave integrated plotting, reporting and GIS-linking capabilities, based on predetermined templates.
The highest correlation coefficient was seen for the incidence of hospital admissions, followed by the ILI incidence estimated by GFT and reported by GIS, respectively.
A recent report used GIS technology to develop a household-level priority model for childhood lead poisoning in North Carolina (Miranda and Dolinoy 2005).
High rates of GIS were reported in both events; however, incidence and severity of GIS only negatively altered nutritional intake during MSUM.
Such observations are however contrary to previously reported indications that lower-GIS are the predominant GIS during running [14].
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