Kimberley Baxter
University of Queensland
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Publication
Featured researches published by Kimberley Baxter.
Diabetic Medicine | 2013
Anthony W. Russell; Kimberley Baxter; Deborah Askew; J. Tsai; Robert S. Ware; Claire Jackson
To evaluate patient outcomes for a novel integrated primary/specialist model of community care for complex Type 2 diabetes mellitus management compared with outcomes for usual care at a tertiary hospital for diabetes outpatients.
Journal of Paediatrics and Child Health | 2013
Smita Nambiar; Helen Truby; P. S. W. Davies; Kimberley Baxter
To demonstrate that the waist–height ratio (WHtR) is a simple and effective screening tool that could be used to identify obese children with the metabolic syndrome.
Diabetic Medicine | 2015
Jianzhen Zhang; Maria Donald; Kimberley Baxter; Robert S. Ware; L. Burridge; Anthony W. Russell; Claire Jackson
To evaluate the impact of an integrated model of care for patients with complex Type 2 diabetes mellitus on potentially preventable hospitalizations.
Journal of Nutrition and Metabolism | 2014
Sarah A. Elliott; Kimberley Baxter; P. S. W. Davies; Helen Truby
Introduction. Self-reported measures of habitual physical activity rely completely on the respondents ability to provide accurate information on their own physical activity behaviours. Our aim was to investigate if obese adolescents could accurately report their physical activity levels (PAL) using self-reported diaries. Methods. Total energy expenditure (TEE) was measured using doubly labelled water (DLW) and resting energy expenditure (REE) was measured via indirect calorimetry. Activity energy expenditure (AEE) and PAL values were derived from measured TEE and REE. Self-reported, four-day activity diaries were used to calculate daily MET values and averaged to give an estimated PAL value (ePAL). Results. Twenty-two obese adolescents, mean age 13.2 ± 1.8 years, mean BMI 31.3 ± 4.6 kg/m2, completed the study. No significant differences between mean measured and estimated PAL values were observed (1.37 ± 0.13 versus 1.40 ± 0.34, P = 0.74). Bland Altman analysis illustrated a significant relationship (r = −0.76, P < 0.05) between the two methods; thus the bias was not consistent across a range of physical activity levels, with the more inactive overreporting their physical activity. Conclusion. At an individual level, obese adolescents are unlikely to be able to provide an accurate estimation of their own activity.
Pediatric Obesity | 2015
Diane E. Jensen; Kay Nguo; Kimberley Baxter; John Cardinal; Neil A. King; Robert S. Ware; Helen Truby; Jennifer A. Batch
Gut hormones change with weight loss in adults but are not well studied in obese youth.
PLOS ONE | 2016
Helen Truby; Kimberley Baxter; Robert S. Ware; Diane E. Jensen; J. Cardinal; J. Warren; Lynne Daniels; P. S. W. Davies; Paula M. Barrett; Michelle L. Blumfield; Jennifer A. Batch
Objective Adolescent obesity is difficult to treat and the optimal dietary pattern, particularly in relation to macronutrient composition, remains controversial. This study tested the effect of two structured diets with differing macronutrient composition versus control, on weight, body composition and metabolic parameters in obese adolescents. Design A randomized controlled trial conducted in a children’s hospital. Methods Eighty seven obese youth (means: age 13.6 years, BMI z-score 2.2, waist: height ratio 0.65, 69% female) completed a psychological preparedness program and were then randomized to a short term ‘structured modified carbohydrate’ (SMC, 35% carbohydrate; 30% protein; 35% fat, n = 37) or a ‘structured low fat’ (SLF, 55% carbohydrate; 20% protein; 25% fat, n = 36) or a wait listed control group (n = 14). Anthropometric, body composition and biochemical parameters were measured at randomization and after 12 weeks, and analyzed under the intention to treat principle using analysis of variance models. Results After 12 weeks, data was collected from 79 (91%) participants. BMI z-scores were significantly lower in both intervention groups compared to control after adjusting for baseline values, SLF vs. control, mean difference = -0.13 (95%CI = -0.18, -0.07), P<0.001; SMC vs. control, -0.14 (-0.19, -0.09), P<0.001, but there was no difference between the two intervention diet groups: SLF vs. SMC, 0.00 (-0.05, 0.04), P = 0.83. Conclusions Both dietary patterns resulted in similar changes in weight, body composition and metabolic improvements compared to control. The use of a structured eating system which allows flexibility but limited choices can assist in weight change and the rigid application of a low fat eating pattern is not exclusive in its efficacy. Trial Registration International Clinical Trials Registry ISRCTN49438757
Obesity Reviews | 2010
Helen Truby; Kimberley Baxter; P. S. W. Davies; Jennifer A. Batch
Introduction: Physical inactivity is regarded as one of the main factors that have contributed to the rapid increase in prevalence of childhood obesity in recent decades. The aim of this study was ...
Trials | 2013
Jianzhen Zhang; L. Burridge; Kimberley Baxter; Maria Donald; Michele Foster; Samantha Hollingworth; Robert S. Ware; Anthony W. Russell; Claire Jackson
Obesity Research & Clinical Practice | 2013
Kimberley Baxter; Robert S. Ware; Jennifer A. Batch; Helen Truby
BMC Public Health | 2010
Helen Truby; Kimberley Baxter; Paula M. Barrett; Robert S. Ware; John Cardinal; P. S. W. Davies; Lynne Daniels; Jennifer A. Batch