Literature DB >> 18317727

Increasing overall physical activity and aerobic fitness is associated with improvements in metabolic risk: cohort analysis of the ProActive trial.

R K Simmons1, S J Griffin, R Steele, N J Wareham, U Ekelund.   

Abstract

AIMS/HYPOTHESIS: Our aim was to examine the association between change in physical activity energy expenditure (PAEE), total body movement (counts per day) and aerobic fitness (maximum oxygen consumption [VO2max] over 1 year and metabolic risk among individuals with a family history of diabetes.
METHODS: Three hundred and sixty-five offspring of people with type 2 diabetes underwent measurement of energy expenditure (PAEE measured using the flex heart rate method), total body movement (daily activity counts from accelerometry data), [VO2max] predicted from a submaximal graded treadmill exercise test and anthropometric and metabolic status at baseline and 1 year (n = 321) in the ProActive trial. Clustered metabolic risk was calculated by summing standardised values for waist circumference, fasting triacylglycerol, insulin and glucose, blood pressure and the inverse of HDL-cholesterol. Linear regression was used to quantify the association between changes in PAEE, total body movement and fitness and clustered metabolic risk at follow-up.
RESULTS: Participants increased their activity by 0.01 units PAEE kJ kg(-1) day(-1) over 1 year. Total body movement increased by an average of 9,848 counts per day. Change in total body movement (beta = -0.066, p = 0.004) and fitness (beta = -0.056, p = 0.003) was associated with clustered metabolic risk at follow-up, independently of age, sex, smoking status, socioeconomic status and baseline metabolic score. CONCLUSIONS/
INTERPRETATION: Small increases in activity and fitness were associated with a reduction in clustered metabolic risk in this cohort of carefully characterised at-risk individuals. Further research to quantify the reduction in risk of type 2 diabetes associated with feasible changes in these variables should inform preventive interventions.

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Mesh:

Year:  2008        PMID: 18317727      PMCID: PMC2292423          DOI: 10.1007/s00125-008-0949-4

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  28 in total

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2.  Body movement and physical activity energy expenditure in children and adolescents: how to adjust for differences in body size and age.

Authors:  Ulf Ekelund; Agneta Yngve; Sören Brage; Klaas Westerterp; Michael Sjöström
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3.  The continuing epidemics of obesity and diabetes in the United States.

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Review 4.  Global and societal implications of the diabetes epidemic.

Authors:  P Zimmet; K G Alberti; J Shaw
Journal:  Nature       Date:  2001-12-13       Impact factor: 49.962

5.  Features of the metabolic syndrome are associated with objectively measured physical activity and fitness in Danish children: the European Youth Heart Study (EYHS).

Authors:  Søren Brage; Niels Wedderkopp; Ulf Ekelund; Paul W Franks; Nicholas J Wareham; Lars Bo Andersen; Karsten Froberg
Journal:  Diabetes Care       Date:  2004-09       Impact factor: 19.112

6.  Does the association of habitual physical activity with the metabolic syndrome differ by level of cardiorespiratory fitness?

Authors:  Paul W Franks; Ulf Ekelund; Søren Brage; Man-Yu Wong; Nicholas J Wareham
Journal:  Diabetes Care       Date:  2004-05       Impact factor: 19.112

7.  Low levels of leisure-time physical activity and cardiorespiratory fitness predict development of the metabolic syndrome.

Authors:  David E Laaksonen; Hanna-Maaria Lakka; Jukka T Salonen; Leo K Niskanen; Rainer Rauramaa; Timo A Lakka
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8.  Sedentary lifestyle, poor cardiorespiratory fitness, and the metabolic syndrome.

Authors:  Timo A Lakka; David E Laaksonen; Hanna-Maaria Lakka; Niko Männikkö; Leo K Niskanen; Rainer Rauramaa; Jukka T Salonen
Journal:  Med Sci Sports Exerc       Date:  2003-08       Impact factor: 5.411

9.  Association of the metabolic syndrome with both vigorous and moderate physical activity.

Authors:  K L Rennie; N McCarthy; S Yazdgerdi; M Marmot; E Brunner
Journal:  Int J Epidemiol       Date:  2003-08       Impact factor: 7.196

10.  Efficacy of a theory-based behavioural intervention to increase physical activity in an at-risk group in primary care (ProActive UK): a randomised trial.

Authors:  Ann-Louise Kinmonth; Nicholas J Wareham; Wendy Hardeman; Stephen Sutton; A Toby Prevost; Tom Fanshawe; Kate M Williams; Ulf Ekelund; David Spiegelhalter; Simon J Griffin
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2.  Walking away from type 2 diabetes: trial protocol of a cluster randomised controlled trial evaluating a structured education programme in those at high risk of developing type 2 diabetes.

Authors:  Thomas Yates; Melanie J Davies; Joe Henson; Jacqui Troughton; Charlotte Edwardson; Laura J Gray; Kamlesh Khunti
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4.  Effectiveness of a pragmatic education program designed to promote walking activity in individuals with impaired glucose tolerance: a randomized controlled trial.

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Review 5.  Mortality trends in the general population: the importance of cardiorespiratory fitness.

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6.  The Impact of Accelerometer and Heart Rate Data on Hypoglycemia Mitigation in Type 1 Diabetes.

Authors:  Matthew Stenerson; Fraser Cameron; Darrell M Wilson; Breanne Harris; Shelby Payne; B Wayne Bequette; Bruce A Buckingham
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7.  Continuous metabolic syndrome risk score, body mass index percentile, and leisure time physical activity in American children.

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9.  Objectively measured moderate- and vigorous-intensity physical activity but not sedentary time predicts insulin resistance in high-risk individuals.

Authors:  Ulf Ekelund; Soren Brage; Simon J Griffin; Nicholas J Wareham
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10.  Physical activity and insulin sensitivity: the RISC study.

Authors:  Beverley Balkau; Leila Mhamdi; Jean-Michel Oppert; John Nolan; Alain Golay; Francesca Porcellati; Markku Laakso; Ele Ferrannini
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