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Share BL, La Gerche A, Naughton GA, Obert P, Kemp JG. Young Women With Abdominal Obesity Have Subclinical Myocardial Dysfunction. Can J Cardiol 2015; 31:1195-201. [PMID: 26002065 DOI: 10.1016/j.cjca.2015.02.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2014] [Revised: 02/04/2015] [Accepted: 02/04/2015] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Abdominal obesity is an independent risk factor for cardiovascular disease. The effect of abdominal obesity on myocardial function in young obese women remains unknown. Therefore, we aimed to investigate cardiac morphology and function, myocardial deformation, and mechanical indices, in young women with and without abdominal obesity. METHODS Cross-sectional analyses of 39 women with abdominal obesity (waist circumference ≥ 80 cm) and 33 nonobese control subjects (waist circumference < 80 cm) aged 18-30 years underwent conventional echocardiographic measures of cardiac morphology and function together with tissue Doppler, and 2-dimensional speckle tracking measures of myocardial deformation and mechanics. Cardiometabolic risk factors including anthropometric, hypertension, biochemistry, and fitness were also assessed. RESULTS Standard echocardiography results for cardiac morphology and function were similar between groups, with the exception of larger left atrial dimensions in women with abdominal obesity (P ≤ 0.05). Compared with control subjects, women with abdominal obesity also demonstrated reduced systolic and diastolic mitral annular plane velocities, increased left atrial pressure surrogates (E/diastolic mitral annular plane velocity), and prolonged timing measures of diastolic function including isovolumic relaxation time and transmitral deceleration time (P ≤ 0.05). In addition, longitudinal strain and diastolic strain rate were reduced in women with abdominal obesity (P ≤ 0.05) but circumferential deformation and myocardial mechanics (twist indices and rotation) were preserved. Markers of abdominal obesity retained an independent direct correlation with parameters of cardiac dysfunction, explaining 12%-39% of the overall variability. CONCLUSIONS A young, otherwise healthy group of women with abdominal obesity displayed subclinical cardiac dysfunction indicated using selected tissue Doppler imaging and speckle tracking echocardiography measures.
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Affiliation(s)
- Bianca L Share
- School of Exercise Science, Australian Catholic University, Melbourne, Australia.
| | - André La Gerche
- School of Exercise Science, Australian Catholic University, Melbourne, Australia; Cardiac Investigation Unit, St Vincent's Hospital, Melbourne, Australia
| | - Geraldine A Naughton
- School of Exercise Science, Australian Catholic University, Melbourne, Australia; Murdoch Childrens Research Institute, Royal Childrens Hospital, Melbourne, Australia
| | - Philippe Obert
- School of Exercise Science, Australian Catholic University, Melbourne, Australia; LAPEC, EA4278, Avignon University, Avignon, France
| | - Justin G Kemp
- School of Exercise Science, Australian Catholic University, Melbourne, Australia
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Kabat GC, Heo M, Van Horn LV, Kazlauskaite R, Getaneh A, Ard J, Vitolins MZ, Waring ME, Zaslavsky O, Smoller SW, Rohan TE. Longitudinal association of anthropometric measures of adiposity with cardiometabolic risk factors in postmenopausal women. Ann Epidemiol 2014; 24:896-902. [PMID: 25453348 PMCID: PMC4654453 DOI: 10.1016/j.annepidem.2014.10.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2014] [Revised: 09/26/2014] [Accepted: 10/10/2014] [Indexed: 01/22/2023]
Abstract
PURPOSE Some studies suggest that anthropometric measures of abdominal obesity may be superior to body mass index (BMI) for the prediction of cardiometabolic risk factors; however, most studies have been cross-sectional. Our aim was to prospectively examine the association of change in BMI, waist-to-hip ratio (WHR), waist circumference (WC), and waist circumference-to-height ratio (WCHtR) with change in markers of cardiometabolic risk in a population of postmenopausal women. METHODS We used a subsample of participants in the Women's Health Initiative aged 50 to 79 years at entry with available fasting blood samples and anthropometric measurements obtained at multiple time points over 12.8 years of follow-up (n = 2672). The blood samples were used to measure blood glucose, insulin, total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol (HDL-C), and triglycerides at baseline, and at years 1, 3, and 6. We conducted mixed-effects linear regression analyses to examine associations at baseline and longitudinal associations between change in anthropometric measures and change in cardiometabolic risk factors, adjusting for covariates. RESULTS In longitudinal analyses, change in BMI, WC, and WCHtR robustly predicted change in cardiometabolic risk, whereas change in WHR did not. The strongest associations were seen for change in triglycerides, glucose, and HDL-C (inverse association). CONCLUSION Increase in BMI, WC, and WCHtR strongly predicted increases in serum triglycerides and glucose, and reduced HDL-C. WC and WCHtR were superior to BMI in predicting serum glucose, HDL-C, and triglycerides. WCHtR was superior to WC only in predicting serum glucose. BMI, WC, and WCHtR were all superior to WHR.
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Affiliation(s)
- Geoffrey C. Kabat
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA
| | - Moonseong Heo
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA
| | - Linda V. Van Horn
- Department of Preventive Medicine, Fineberg School of Medicine, Northwest University, 680 N Lake Shore Drive, Suite 1400, Chicago IL 60611, USA
| | - Rasa Kazlauskaite
- Department of Preventive Medicine, Rush University Medical Center, 1700 W. Van Buren St., Suite 470, Chicago, IL 60612, USA
| | - Asqual Getaneh
- MedStar Health Research Institute, MedStar Health, 6525 Belcrest Road, Suite 700, Hyattsville, MD 20782, USA
| | - Jamy Ard
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, NC 27157, USA
| | - Mara Z. Vitolins
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, NC 27157, USA
| | - Molly E. Waring
- Division of Epidemiology of Chronic Diseases and Vulnerable Populations, Department of Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Avenue, North Worcester, MA 01655, USA
| | - Oleg Zaslavsky
- The Cheryl Spencer Institute for Nursing Research, University of Haifa, Main Building, Fl. 500, room 570, Haifa 31905, Israel
| | - Sylvia Wassertheil Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA
| | - Thomas E. Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA
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