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1.
PLoS One ; 9(1): e83256, 2014.
Article En | MEDLINE | ID: mdl-24454698

BACKGROUND: In research clinic settings, overweight adults undertaking HIIT (high intensity interval training) improve their fitness as effectively as those undertaking conventional walking programs but can do so within a shorter time spent exercising. We undertook a randomized controlled feasibility (pilot) study aimed at extending HIIT into a real world setting by recruiting overweight/obese, inactive adults into a group based activity program, held in a community park. METHODS: Participants were allocated into one of three groups. The two interventions, aerobic interval training and maximal volitional interval training, were compared with an active control group undertaking walking based exercise. Supervised group sessions (36 per intervention) were held outdoors. Cardiorespiratory fitness was measured using VO2max (maximal oxygen uptake, results expressed in ml/min/kg), before and after the 12 week interventions. RESULTS: On ITT (intention to treat) analyses, baseline (N = 49) and exit (N = 39) [Formula: see text]O2 was 25.3±4.5 and 25.3±3.9, respectively. Participant allocation and baseline/exit VO2max by group was as follows: Aerobic interval training N =  16, 24.2±4.8/25.6±4.8; maximal volitional interval training N = 16, 25.0±2.8/25.2±3.4; walking N = 17, 26.5±5.3/25.2±3.6. The post intervention change in VO2max was +1.01 in the aerobic interval training, -0.06 in the maximal volitional interval training and -1.03 in the walking subgroups. The aerobic interval training subgroup increased VO2max compared to walking (p = 0.03). The actual (observed, rather than prescribed) time spent exercising (minutes per week, ITT analysis) was 74 for aerobic interval training, 45 for maximal volitional interval training and 116 for walking (p =  0.001). On descriptive analysis, the walking subgroup had the fewest adverse events. CONCLUSIONS: In contrast to earlier studies, the improvement in cardiorespiratory fitness in a cohort of overweight/obese participants undertaking aerobic interval training in a real world setting was modest. The most likely reason for this finding relates to reduced adherence to the exercise program, when moving beyond the research clinic setting. TRIAL REGISTRATION: ACTR.org.au ACTRN12610000295044.


Overweight/physiopathology , Overweight/therapy , Oxygen Consumption , Sedentary Behavior , Adult , Cohort Studies , Exercise Therapy , Feasibility Studies , Humans , Middle Aged , Treatment Outcome
2.
Ann Clin Biochem ; 51(Pt 1): 47-53, 2014 Jan.
Article En | MEDLINE | ID: mdl-24003257

BACKGROUND: To assess glucose meter performance in a diabetes antenatal clinic, focussing on clinical and pre-analytical factors that might impact on the quantification of meter accuracy and precision. METHODS: The Freestyle Lite and the Performa glucose meters were assessed by trained researchers. Finger stick glucose was measured and compared with plasma venous glucose, obtained from a concomitantly collected antecubital fossa sample. Venous plasma was separated on-site then sent to the laboratory for measurement of glucose using the hexokinase method (comparative method). Additional data collected included: (i) timing of and also (ii) quantity of last carbohydrate intake; (iii) time periods between collection, preparation and analysis of the venous sample; (iv) the haemolysis index of the plasma sample and (v) haematocrit. RESULTS: There were 104 participants. Both meters fulfilled ISO 15197 standards, with 99% and 97% of Freestyle Lite and Performa results, respectively, falling within acceptable limits for this standard. Both meters showed minor proportional bias, reading low at higher glucose values. Consensus error grid analysis showed 100% of results from the Freestyle Lite and 99% from the Performa falling within Zone A, thus the observed differences in measured capillary and venous plasma glucose were sufficiently minor that they would have little effect on clinical action. No association was observed between [capillary-plasma] glucose difference and the five variables outlined above. CONCLUSIONS: The two glucose meters tested showed a reassuringly acceptable level of performance, when assessed by a research team in the setting of a diabetes antenatal clinic.


Blood Glucose , Clinical Laboratory Techniques/instrumentation , Diabetes, Gestational/blood , Pregnancy Complications/blood , Blood Glucose Self-Monitoring/instrumentation , Diabetes, Gestational/pathology , Female , Humans , Pregnancy , Prenatal Diagnosis
3.
N Z Med J ; 126(1386): 90-7, 2013 Nov 22.
Article En | MEDLINE | ID: mdl-24316996

Health consumer's input into assessment of medical device safety is traditionally given either as part of study outcome (trial participants) or during post marketing surveillance. Direct consumer input into the methodological design of device assessment is less common. We discuss the difference in requirements for assessment of a measuring device from the consumer and clinician perspectives, using the example of hand held glucose meters. Around 80,000 New Zealanders with diabetes recently changed their glucose meter system, to enable ongoing access to PHARMAC subsidised meters and strips. Consumers were most interested in a direct comparison of their 'old' meter system (Accu-Chek Performa) with their 'new' meter system (CareSens brand, including the CareSens N POP), rather than comparisons against a laboratory standard. This direct comparison of meter/strip systems showed that the CareSens N POP meter read around 0.6 mmol/L higher than the Performa system. Whilst this difference is unlikely to result in major errors in clinical decision making such as major insulin dosing errors, this information is nevertheless of interest to consumers who switched meters so that they could maintain access to PHARMAC subsidised meters and strips. We recommend that when practical, the consumer perspective be incorporated into study design related to medical device assessment.


Blood Glucose Self-Monitoring/instrumentation , Blood Glucose/analysis , Diabetes Mellitus/blood , Point-of-Care Systems/standards , Equipment Design , Humans , Reproducibility of Results
4.
Ann Clin Biochem ; 50(Pt 1): 6-12, 2013 Jan.
Article En | MEDLINE | ID: mdl-23148281

BACKGROUND: There is a negative glucose gradient between the capillary and venous systems, produced by glucose uptake into peripheral tissues. This gradient is augmented by oral glucose ingestion in healthy volunteers; thus prandial status may impact on capillary glucose meter performance. Our primary aim was to investigate whether the (capillary-venous plasma) glucose difference changed in relation to prandial status, in healthy volunteers. METHODS: Glucose was measured fasting and also one hour after an ad libitum breakfast, in 103 healthy volunteers. Duplicate capillary (finger stick) measurements were undertaken at both time points, using both the FreeStyle Lite and AccuChek Performa meters. Simultaneous venous (antecubital fossa) samples were centrifuged immediately after collection and plasma glucose was measured using the laboratory hexokinase method. Results were compared by Bland-Altman difference analysis. RESULTS: The mean (95% CI) pre- and postprandial (capillary-plasma) glucose differences (mmol/L) were calculated for each meter. For the Freestyle Lite, the preprandial difference was -0.51 (-0.58 to -0.45) and postprandial difference was 0.81 (0.69-0.94). Corresponding differences for the Performa were -0.13 (-0.20 to -0.06) and 1.19 (1.07-1.31), respectively. T-test comparison of participants' paired pre- and postprandial (capillary-plasma) glucose differences confirmed a significant meal-related change in glucose estimation for both meters (P < 0.0001). Also, both meters read highest at lower glucose concentrations. CONCLUSIONS: In healthy volunteers, both glucose meters showed a systematic positive bias one hour after breakfast. The significance of this finding in diabetes remains to be determined.


Artifacts , Blood Glucose/analysis , Capillaries/chemistry , Fasting/blood , Veins/chemistry , Adolescent , Adult , Automation, Laboratory/instrumentation , Automation, Laboratory/standards , Biological Transport , Eating , Female , Hexokinase/blood , Humans , Male , Middle Aged , Postprandial Period , Regression Analysis
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