Sentence examples for multivariate analyses diabetes from inspiring English sources

Exact(1)

However, when entered into the multivariate analyses; diabetes failed to show a significant association, suggesting that it was a confounding factor rather than an independent risk factor.

Similar(59)

After multivariate analyses, only diabetes improved LSR (p = 0.011) after dipyridamole infusion and was not associated with glycaemic control (p = 0.21), insulin therapy (p = 0.46) or duration of the disease (p = 0.80).

Further, alternate multivariate analyses using maternal diabetes, instead of parental diabetes, gave essentially identical results (data not shown).

Moreover, although there was a significant association between diabetes and NAFLD, 17 neither a history of diabetes nor high FBG served as an independent risk factor for NAFLD on multivariate analyses suggesting that diabetes is a confounding factor.

In contrast with these findings, our multivariate analyses showed that diabetes mellitus was not an independent determinant of QOL and functional status.

In multivariate analyses, duration of diabetes (β coefficient = 0.45, p < 0.001) and RBC vfcy (β = 1.70, p = 0.01) resulted to be independently related to PP (r = 0.84, p < 0.001).

Diabetes-specific variables such as insulin use, diabetes duration and the level of HbA1c were not significantly associated with perceived health or psychological distress in the multivariate analyses among diabetic persons with or without a history of foot ulcer.

Separate multivariate analyses comparing the two diabetes samples were additionally adjusted for diabetes-specific variables.

In multivariate analyses, ESA hyporesponsiveness and diabetes showed a significant association with AMiC.

Variables associated with risk of death or HCC, based on knowledge and findings from previous studies were also selected for multivariate analyses (age, gender, BMI, diabetes, Child-Pugh score, platelet count).

We also conducted multivariate analyses to ascertain whether diabetes mellitus was an independent determinant of SF-36 physical functioning (PCS) and mental health (MCS) component score QOL outcomes after AMI.

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