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Title: A preliminary investigation into the effect of continuous vigorous exercise and lifestyleembedded ph


1
A preliminary investigation into the effect of
continuous vigorous exercise and
lifestyle-embedded physical activity upon acute
glycaemic regulation
Ash Routen1, Ann Rowlands2 Dale
Esliger2 1Institute of Sport Exercise Science,
University of Worcester, UK. 2School of Sport and
Health Sciences, University of Exeter, UK.
2
Introduction
  • Consensus that physical activity/exercise reduces
    the risk of developing insulin resistance,
    glucose intolerance and overt type 2 Diabetes
    (Bassuk et al., 2005, Healy et al., 2006).
  • Majority of research is of a experimental design
    with long term follow-up, detailing chronic
    adaptations to exercise in diabetics.
  • Continuous glucose monitoring (CGM) has emerged
    as a new tool for diabetics help maintain
    normoglycaemia. CGM provides acute information
    on ambulatory, postprandial and/or nocturnal
    glucose excursions (Hay et al., 2003).
  • To date only two studies implementing CGM within
    exercise protocols, charting acute glucose
    responses to exercise may allow optimal
    intervention (Klonoff, 2005).

3
Aim
  • Two concurrent aims-
  • To determine the effect of continuous exercise
    and lifestyle-embedded (intermittent bouts)
    physical activity (as measured by accelerometry)
    on the regulation of interstitial glucose (as
    measured by CGM).
  • To determine the feasibility of CGM data
    collection alongside exercise protocols.

4
Methods
  • One physically active non-diabetic male age 22
    y mass 71.5 kg height 181 cm.
  • 8 days CGM (iPro, Medtronic, Northridge, USA) and
    accelerometry data collection (Actigraph GT1Ms,
    Actigraph USA).
  • 3 trial conditions
  • Sedentary control (lt 2500 steps, pedometer
    controlled).
  • Continuous exercise condition (2 x 30 min
    treadmill running at 70 HRmax).
  • lifestyle-embedded physical activity condition
    (100 min of physical activity including stair
    climbing, brisk walking outside etc.).

5
Table 1. Experimental Design
6
Figure 1. Medtronic MiniMed (SOF-SENSOR) glucose
sensor
Figure 1.1. CGMS iPro digital recorder attached
to SOF-SENSOR
7
Results
8
Results continued
9
Results continued
  • The relationship between physical activity counts
    (as measured by accelerometry) and glucose values
    was assessed during various parameters (e.g.
    exercise, postprandial) via Pearson's correlation
    analysis. The alpha level was set at lt0.05.
  • A strong positive correlation was identified
    during the continuous exercise bouts (R 0.75, P
    0.02).

10
Discussion
  • Tighter glycaemic control potentially due to
    elevated glucose uptake resulting from increased
    GLUT-4 translocation to cellular membrane
    (Kennedy et al., 1999 Sigal et al., 2004).
  • Greater uptake in continuous vs. lifestyle
    condition as muscle glucose uptake is greater at
    higher intensities - increased GLUT-4, blood flow
    etc. (Romijn et al., 1993).
  • Positive correlation during continuous bouts may
    be due to increased hepatic glucose production
    (Wasserman et al., 1996).
  • However 5 min time delay between interstitial
    glucose and blood glucose , so time lag
    correlations may prove more accurate (Klonoff,
    2005).

11
Conclusion/Future Research
  • Day to day glucose regulation in a normoglycaemic
    individual may be achieved through undertaking
    vigorous intensity aerobic exercise.
  • Lifestyle physical activity (of the same energy
    expenditure), a suitable alternative for
    unwilling and unable.
  • CGM data collection is feasible.
  • Limited by single participant design and
    normoglycaemic population.
  • Future studies should increase sample size and
    include pre-diabetic and overt diabetic
    populations.

12
References
  • Bassuk, S. S., Manson, J. E. (2005).
    Epidemiological evidence for the role of physical
    activity in reducing risk of type 2 diabetes and
    cardiovascular disease. J Appl Physiol, 99(3),
    1193-1204.
  • Hay, L. C., Wilmshurst, E. G., Fulcher, G.
    (2003). Unrecognized hypo- and hyperglycemia in
    well-controlled patients with type 2 diabetes
    mellitus the results of continuous glucose
    monitoring. Diabetes Technol Ther, 5(1), 19-26.
  • Healy, G. N., Dunstan, D. W., Shaw, J. E.,
    Zimmet, P. Z., Owen, N. (2006). Beneficial
    associations of physical activity with 2-h but
    not fasting blood glucose in Australian adults
    the AusDiab study. Diabetes Care, 29(12),
    2598-2604.
  • Kennedy, J. W., Hirshman, M. F., Gervino, E. V.,
    Ocel, J. V., Forse, R. A., Hoenig, S. J., et al.
    (1999). Acute exercise induces GLUT4
    translocation in skeletal muscle of normal human
    subjects and subjects with type 2 diabetes.
    Diabetes, 48(5), 1192-1197.

13
Klonoff, D. C. (2005). A review of continuous
glucose monitoring technology. Diabetes Technol
Ther, 7(5), 770-775. Romijn, J. A., Coyle, E. F.,
Sidossis, L. S., Gastaldelli, A., Horowitz, J.
F., Endert, E., et al. (1993). Regulation of
endogenous fat and carbohydrate metabolism in
relation to exercise intensity and duration. Am
J Physiol, 265(3 Pt 1), E380-391.Sigal, R. J.,
Kenny, G. P., Wasserman, D. H.,
Castaneda-Sceppa, C. (2004). Physical
activity/exercise and type 2 diabetes. Diabetes
Care, 27(10), 2518-2539. Wasserman, D. H.
(1996). Regulation of extramuscular fuel sources
during exercise. In L. B. Rowell J. T. Sheperd
(Eds.), Handbook of Physiology. Columbia
Bermedica Production.
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