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In exploratory analyses, we examined potential baseline predictors of high vs. low chromium absorption (among only patients in the chromium group) with logistic regression analysis.
Based on the wide range of urinary and serum chromium levels, and the assumption that high chromium levels reflect greater chromium absorption, patients within the chromium group were divided (median split) into a high and low chromium absorption group.
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Absorption bands assigned to Cr–O stretching vibrations do not appear independently in the M SCWA-ANO spectrum because of a low chromium content.
To further explore the association between chromium absorption and insulin resistance, patients within the chromium group were divided (based on a medial split at 3.10 μg/L) into a high (n=6) and low (n=8) serum chromium group.
Logistic regression analyses were used to explore potential baseline patient measures as predictors of chromium absorption.
Extracellular reduction of Cr VI) to Cr III) therefore effectively limits chromium absorption.
Due to the apparent variation in the degree of chromium absorption between subjects, we examined the relationship between serum chromium and change in insulin resistance.
Within the chromium treatment group only, the association between chromium absorption and change in insulin resistance was examined in a multiple regression controlling for the same background patient characteristics.
In the 1970s studies of patients with small bowel syndrome suggested that low chromium levels contributed to glucose intolerance that could be reversed by chromium supplementation [ 8- 10].
Bai and Abraham had revealed that acetylations of amino and hydroxyl groups of Rhizopus nigricans biomass obviously reduced the chromium absorption [ 24].
To explore whether the association between chromium absorption level and change in insulin sensitivity is explained by treatment-mediated changes in other key variables, we examined associations between chromium absorption levels with pre- post changes in triglycerides (F=.48, p=.51), LDL, (F=.07, p=.80) BMI, (F=3.14, p=.13), and truncal fat (F=1.11, p=.34) and results were non-significant.
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