Micronutrients & recovery
Fasting sweat glucose levels do not robustly predict fasting blood glucose levels across a population of healthy and diabetic subjects, limiting the use of sweat glucose for universal diabetes diagnostics.
Do not rely on sweat glucose sensors to make immediate medical decisions about insulin dosing or hypoglycemia treatment based on population averages. The correlation between sweat and blood glucose is too weak and variable across individuals. Current technology may support personalized longitudinal tracking, but it is not yet a universal diagnostic tool.
Overall, there is significant spread in the data, indicating that iontophoretic sweat glucose concentration does not robustly predict blood levels.
Why this rating
Larger sample size (n=48 subjects) than the fluid loss study, but still shows weak correlation.
Source
Regional and correlative sweat analysis using high-throughput microfluidic sensing patches toward decoding sweat
Hnin Yin Yin Nyein et al. · Science Advances · 2019
DOI 10.1126/sciadv.aaw9906
More from this paper
- Regional sweat rate and sodium concentration measured via wearable microfluidic patches can be used to predict whole-body fluid and electrolyte loss during exercise with high accuracy for individuals.Moderate
- Sodium (Na+) and Potassium (K+) levels in iontophoretic sweat are positively correlated within individuals, but across a population, individuals with higher sodium levels tend to have lower potassium levels.Moderate
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