Literature DB >> 16551713

Association of physical activity and body mass index with novel and traditional cardiovascular biomarkers in women.

Samia Mora1, I-Min Lee, Julie E Buring, Paul M Ridker.   

Abstract

CONTEXT: There are few data directly comparing the effects of physical activity and body weight on cardiovascular biomarkers.
OBJECTIVE: To examine the association of physical activity and body mass index (BMI, defined as weight in kilograms divided by the square of height in meters) alone and in combination with cardiovascular biomarkers. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional analysis of 27,158 apparently healthy US women (mean age, 54.7 years) at the time of enrollment (1992-1995) in the Women's Health Study, a randomized, double-blind, placebo-controlled trial of low-dose aspirin and vitamin E in the primary prevention of cardiovascular disease and cancer. MAIN OUTCOME MEASURES: The association of physical activity and BMI with high-sensitivity C-reactive protein (CRP), fibrinogen, soluble intracellular adhesion molecule 1 (ICAM-1), homocysteine, low- and high-density lipoprotein (LDL and HDL) cholesterol, total cholesterol, apolipoprotein A-1 and B100, lipoprotein(a), and creatinine.
RESULTS: Lower levels of physical activity and higher levels of BMI were independently associated (P for trend <.001) with adverse levels of nearly all lipid and inflammatory biomarkers. High BMI showed stronger associations with these biomarkers than physical inactivity. For example, using the reference group of physically active, normal weight women (energy expenditure > or =1000 kcal/week; BMI, 18.5-24.9) and adjusting for age, race, smoking, blood pressure, diabetes, menopausal status, and hormone use, the odds ratios (95% confidence intervals [CIs]) for having CRP >3 mg/L were: for inactive, normal weight women 1.26 (1.15-1.37); active, overweight 2.68 (2.41-2.98); inactive, overweight 3.11 (2.84-3.41); active, obese 8.25 (7.15-9.51); and inactive, obese 9.86 (8.84-10.99). In similar analyses, the odds ratios (95% CIs) for having HDL cholesterol <50 mg/dL were 1.20 (1.11-1.30); 2.25 (2.04-2.49); 2.62 (2.41-2.85); 4.21 (3.68-4.81); and 5.27 (4.77-5.84), respectively, and for having apolipoprotein B100 >120 mg/dL they were 1.21 (1.11-1.33); 1.86 (1.66-2.08); 2.06 (1.88-2.67); 2.35 (2.04-2.70); and 2.33 (2.09-2.59). Fibrinogen, ICAM-1, apolipoprotein A1, total cholesterol, and LDL cholesterol showed similar associations. By contrast, homocysteine, lipoprotein (a), and creatinine showed weak or nonsignificant associations.
CONCLUSIONS: High BMI was more strongly related to adverse cardiovascular biomarker levels than physical inactivity. However, within BMI categories, physical activity was generally associated with more favorable cardiovascular biomarker levels than inactivity.

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Year:  2006        PMID: 16551713     DOI: 10.1001/jama.295.12.1412

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  113 in total

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2.  Physical activity and weight gain prevention.

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Journal:  Can J Public Health       Date:  2007 May-Jun

Review 5.  The use of high-sensitivity assays for C-reactive protein in clinical practice.

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Journal:  Nat Clin Pract Cardiovasc Med       Date:  2008-08-19

Review 6.  Impact of genetic and environmental factors on hsCRP concentrations and response to therapeutic agents.

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7.  The effects of exercise on cardiovascular biomarkers in patients with chronic heart failure.

Authors:  Tariq Ahmad; Mona Fiuzat; Daniel B Mark; Ben Neely; Megan Neely; William E Kraus; Dalane W Kitzman; David J Whellan; Mark Donahue; Faiez Zannad; Ileana L Piña; Kirkwood Adams; Christopher M O'Connor; G Michael Felker
Journal:  Am Heart J       Date:  2013-11-04       Impact factor: 4.749

Review 8.  Effects of exercise training on chronic inflammation in obesity : current evidence and potential mechanisms.

Authors:  Tongjian You; Nicole C Arsenis; Beth L Disanzo; Michael J Lamonte
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9.  Association of recreational physical activity with homocysteine, folate and lipid markers in young women.

Authors:  Manuela Di Santolo; Giuseppe Banfi; Giuliana Stel; Sabina Cauci
Journal:  Eur J Appl Physiol       Date:  2008-10-14       Impact factor: 3.078

10.  Circulating N-Linked Glycoprotein Acetyls and Longitudinal Mortality Risk.

Authors:  Patrick R Lawler; Akintunde O Akinkuolie; Paulette D Chandler; M Vinayaga Moorthy; Martin J Vandenburgh; Debra A Schaumberg; I-Min Lee; Robert J Glynn; Paul M Ridker; Julie E Buring; Samia Mora
Journal:  Circ Res       Date:  2016-03-07       Impact factor: 17.367

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