@entity1735 intake is associated with time spent in the euglycemic range in XXXX with type 1 @entity6 .

@entity1 @entity6 @entity2690 @entity1735 @entity4053 @entity4854 @entity413
AIMS/INTRODUCTION: Greater glycemic variability and lack of predictability are important issues for @entity1 with type 1 @entity6 . Dietary factors are one of the contributors to this variability, but how closely diet is linked to glycemic fluctuation on a daily basis has not been investigated. We examined the association between @entity1735 intake and glycemic excursion in outpatients. MATERIALS AND METHODS: A total of 33 @entity1 with type 1 @entity6 were included in the analyses (age 44.5      14.7  years, @entity6 duration 15.1      8.3  years, 64% female, 30% using @entity2690 pump, glycated hemoglobin 8.1      1.3%). Time spent in euglycemia (70-180  mg/dL), @entity4854 (>180  mg/dL) and @entity4053 (<70  mg/dL) of consecutive 48-h periods of continuous @entity413 monitoring data were collected together with simultaneous records of dietary intake, @entity2690 dose and physical activity. Correlation analyses and multiple regression analyses were used to evaluate the contribution of @entity1735 intake to time spent in the target glycemic range. RESULTS: In multiple regression analyses, @entity1735 intake (b  =  0.53, P  =  0.001), basal @entity2690 dose per kg per day (b  =  -0.31, P  =  0.034) and @entity6 duration (b  =  0.30, P  =  0.042) were independent predictors of time spent in euglycemia. @entity1735 intake (b  =  -0.51, P  =  0.001) and @entity2690 pump use (b  =  -0.34, P  =  0.024) were independent predictors of time spent in @entity4854 . @entity2690 pump use (b  =  0.52, P  <  0.001) and bolus @entity2690 dose per kg per day (b  =  0.46, P  =  0.001) were independent predictors of time spent in @entity4053 . CONCLUSIONS: @entity1735 intake is associated with time spent in euglycemia in @entity1 with type 1 @entity6 .
