Literature DB >> 15111543

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

Paul W Franks1, Ulf Ekelund, Søren Brage, Man-Yu Wong, Nicholas J Wareham.   

Abstract

OBJECTIVE: Cardiovascular fitness (VO(2max)) and physical activity are both related to risk of metabolic disease. It is unclear, however, whether the metabolic effects of sedentary living are the same in fit and unfit individuals. The purpose of this study was, therefore, to describe the association between physical activity and the metabolic syndrome and to test whether fitness level modifies this relationship. RESEARCH DESIGN AND METHODS: Physical activity was measured objectively using individually calibrated heart rate against energy expenditure. VO(2max) was predicted from a submaximal exercise stress test. Fat mass and fat-free mass (FFM) were calculated using impedance biometry. A metabolic syndrome score was computed by summing the standardized values for obesity, hypertension, hyperglycemia, insulin resistance, hypertriglyceridemia, and the inverse level of HDL cholesterol and was expressed as a continuously distributed outcome. To correct for exposure measurement error, a random subsample (22% of cohort) re-attended for three repeat measurements in the year following the first assessment.
RESULTS: The relationship of VO(2max) (ml O2.kg(FFM)(-1).min(-1)) and the metabolic syndrome score was of borderline significance after adjusting for age, sex, physical activity, and measurement error (beta = -0.58, P = 0.06). The magnitude of the association between physical activity (kJ.d(-1).kg(FFM)(-1)) and the metabolic syndrome was more than three times greater than for VO(2max) (standardized beta = -1.83, P = 0.0042). VO(2max), however, modified the relationship between physical activity energy expenditure and metabolic syndrome (P = 0.036).
CONCLUSIONS: This study demonstrates a strong inverse association between physical activity and metabolic syndrome, an association that is much steeper in unfit individuals. Thus, prevention of metabolic disease may be most effective in the subset of unfit inactive people.

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Year:  2004        PMID: 15111543     DOI: 10.2337/diacare.27.5.1187

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  65 in total

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Authors:  A Jonsson; F Renström; V Lyssenko; E C Brito; B Isomaa; G Berglund; P M Nilsson; L Groop; P W Franks
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Review 2.  Metabolic syndrome and insulin resistance: underlying causes and modification by exercise training.

Authors:  Christian K Roberts; Andrea L Hevener; R James Barnard
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3.  β-Cell dysfunction is associated with metabolic syndrome severity in adults.

Authors:  Steven K Malin; Stephen Finnegan; Ciaran E Fealy; Julianne Filion; Michael B Rocco; John P Kirwan
Journal:  Metab Syndr Relat Disord       Date:  2013-11-27       Impact factor: 1.894

Review 4.  Exercise and diabetes-related cardiovascular disease: systematic review of published evidence from observational studies and clinical trials.

Authors:  Robert W Koivula; Asa B Tornberg; Paul W Franks
Journal:  Curr Diab Rep       Date:  2013-06       Impact factor: 4.810

5.  The effects of aerobic exercise on metabolic risk, insulin sensitivity and intrahepatic lipid in healthy older people from the Hertfordshire Cohort Study: a randomised controlled trial.

Authors:  F M Finucane; S J Sharp; L R Purslow; K Horton; J Horton; D B Savage; S Brage; H Besson; E De Lucia Rolfe; A Sleigh; H J Martin; A Aihie Sayer; C Cooper; U Ekelund; S J Griffin; N J Wareham
Journal:  Diabetologia       Date:  2010-01-06       Impact factor: 10.122

6.  Who will increase their physical activity? Predictors of change in objectively measured physical activity over 12 months in the ProActive cohort.

Authors:  Rebecca K Simmons; Esther Mf van Sluijs; Wendy Hardeman; Stephen Sutton; Simon J Griffin
Journal:  BMC Public Health       Date:  2010-04-30       Impact factor: 3.295

7.  Diabetes family history: a metabolic storm you should not sit out.

Authors:  Paul W Franks
Journal:  Diabetes       Date:  2010-11       Impact factor: 9.461

8.  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
Journal:  Diabetes Care       Date:  2009-02-27       Impact factor: 19.112

9.  The association of levels of physical activity with metabolic syndrome in rural Australian adults.

Authors:  Clare Vaughan; Adrian Schoo; Edward D Janus; Benjamin Philpot; Nathalie Davis-Lameloise; Sing Kai Lo; Tiina Laatikainen; Erkki Vartiainen; James A Dunbar
Journal:  BMC Public Health       Date:  2009-07-31       Impact factor: 3.295

10.  Physical activity and risk of metabolic syndrome in an urban Mexican cohort.

Authors:  Pablo Méndez-Hernández; Yvonne Flores; Carole Siani; Michel Lamure; L Darina Dosamantes-Carrasco; Elizabeth Halley-Castillo; Gerardo Huitrón; Juan O Talavera; Katia Gallegos-Carrillo; Jorge Salmerón
Journal:  BMC Public Health       Date:  2009-07-31       Impact factor: 3.295

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