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Song X, Wu H, Zhang W, Wang B, Sun H. Equations for predicting DXA-measured visceral adipose tissue mass based on BMI or weight in adults. Lipids Health Dis 2022; 21:45. [PMID: 35578238 PMCID: PMC9109344 DOI: 10.1186/s12944-022-01652-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 04/26/2022] [Indexed: 11/17/2022] Open
Abstract
Background Obesity, especially presenting with excessive amounts of visceral adipose tissue (VAT), is strongly associated with insulin resistance (IR), atherosclerosis, metabolic syndrome, and cardiovascular diseases (CVDs). Aims To construct a predication equation for estimating VAT mass using anthropometric parameters and validate the models with a validation group. Methods Five hundred fifteen subjects (366 for the derivation group and 149 for the validation group) were enrolled in the study. The anthropometric parameters, blood lipid profile, and VAT mass were accessed from medical records. Stepwise regression was applied to develop prediction models based on the dual X–ray absorptiometry (DXA)-measured VAT mass in the derivation group. Bland–Altman plots and correlation analysis were performed to validate the agreements in the validation group. The performance of the prediction equations was evaluated with the Hosmer–Lemeshow test and area under the curve (AUC). Results Model 1, which included age, sex, body mass index (BMI), triglyceride (TG), high-density lipoprotein (HDL), and the grade of hepatic steatosis, had a variance of 70%, and model 2, which included age, sex, weight, height, TG, HDL, and the grade of hepatic steatosis, had a variance of 74%. The VAT mass measured by DXA was correlated with age, sex, height, weight, BMI, TG, HDL, and grade of hepatic steatosis. In the validation group, the VAT mass calculated by the prediction equations was strongly correlated with the DXA–VAT mass (r = 0.870, r = 0.875, respectively). The AUC, sensitivity, and specificity of the two prediction equations were not significantly different (both P = 0.933). Conclusion The study suggests that prediction equations including age, sex, height, BMI, weight, TG, HDL, and the grade of hepatic steatosis could be useful tools for predicting VAT mass when DXA is not available. Supplementary Information The online version contains supplementary material available at 10.1186/s12944-022-01652-8.
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Maskarinec G, Shvetsov YB, Wong MC, Garber A, Monroe K, Ernst TM, Buchthal SD, Lim U, Marchand LL, Heymsfield SB, Shepherd JA. Subcutaneous and visceral fat assessment by DXA and MRI in older adults and children. Obesity (Silver Spring) 2022; 30:920-930. [PMID: 35253409 PMCID: PMC10181882 DOI: 10.1002/oby.23381] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 12/16/2021] [Accepted: 12/30/2021] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Given the importance of body fat distribution in chronic disease development, feasible methods to assess body fat are essential. This study compared dual-energy x-ray absorptiometry (DXA) in measuring visceral and subcutaneous adipose tissue (VAT and SAT) with magnetic resonance imaging (MRI). METHODS VAT and SAT were assessed using similar DXA and MRI protocols among 1,795 elderly participants of the Adiposity Phenotype Study (APS) and 309 children/adolescents in Shape Up! Kids (SKids). Spearman correlations, Bland-Altman plots, and coefficients of determination (R2 ) assessed agreement between DXA and MRI measures. RESULTS DXA overestimated SAT values in APS (315 vs. 229 cm2 ) and SKids (212 vs. 161 cm2 ), whereas DXA underestimated VAT measures (141 vs. 167 cm2 ) in adults only. The correlations between DXA and MRI values were stronger for SAT than VAT (APS: r = 0.92 vs. 0.88; SKids: 0.90 vs. 0.74). Bland-Altman plots confirmed better agreement for SAT than VAT despite differences by sex, ethnicity, and weight status with respective R2 values for SAT and VAT of 0.88 and 0.84 (APS) and 0.81 and 0.69 (SKids). CONCLUSION These findings indicate that SAT by DXA reflects MRI measures in children and older adults, whereas agreement for VAT is weaker for individuals with low VAT levels.
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Affiliation(s)
- Gertraud Maskarinec
- Population Sciences in the Pacific, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Yurii B. Shvetsov
- Population Sciences in the Pacific, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Michael C. Wong
- Population Sciences in the Pacific, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Andrea Garber
- School of Medicine, University of California at San Francisco, San Francisco, California, USA
| | - Kristine Monroe
- Preventive Medicine, University of Southern California, Los Angeles, California, USA
| | - Thomas M. Ernst
- Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, Maryland, USA
| | - Steven D. Buchthal
- Population Sciences in the Pacific, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Unhee Lim
- Population Sciences in the Pacific, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Loïc Le Marchand
- Population Sciences in the Pacific, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | | | - John A. Shepherd
- Population Sciences in the Pacific, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
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Alavi DH, Henriksen HB, Lauritzen PM, Kværner AS, Sakinis T, Langleite TM, Henriksen C, Bøhn SK, Paur I, Wiedswang G, Smeland S, Blomhoff R. Quantification of adipose tissues by Dual-Energy X-Ray Absorptiometry and Computed Tomography in colorectal cancer patients. Clin Nutr ESPEN 2021; 43:360-368. [PMID: 34024541 DOI: 10.1016/j.clnesp.2021.03.022] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 02/23/2021] [Accepted: 03/30/2021] [Indexed: 01/01/2023]
Abstract
BACKGROUND & AIMS Excess adipose tissue may affect colorectal cancer (CRC) patients' disease progression and treatment. In contrast to the commonly used anthropometric measurements, Dual-Energy X-Ray Absorptiometry (DXA) and Computed Tomography (CT) can differentiate adipose tissues. However, these modalities are rarely used in the clinic despite providing high-quality estimates. This study aimed to compare DXA's measurement of abdominal visceral adipose tissue (VAT) and fat mass (FM) against a corresponding volume by CT in a CRC population. Secondly, we aimed to identify the best single lumbar CT slice for abdominal VAT. Lastly, we investigated the associations between anthropometric measurements and VAT estimated by DXA and CT. METHODS Non-metastatic CRC patients between 50-80 years from the ongoing randomized controlled trial CRC-NORDIET were included in this cross-sectional study. Corresponding abdominal volumes were acquired by Lunar iDXA and from clinically acquired CT examinations. Also, single CT slices at L2-, L3-and L4-level were obtained. Agreement between the methods was investigated using univariate linear regression and Bland-Altman plots. RESULTS Sixty-six CRC patients were included. Abdominal volumetric VAT and FM measured by DXA explained up to 91% and 96% of the variance in VAT and FM by CT, respectively. Bland-Altman plots demonstrated an overestimation of VAT by DXA compared to CT (mean difference of 76 cm3) concurrent with an underestimation of FM (mean difference of -319 cm3). A higher overestimation of VAT (p = 0.015) and underestimation of FM (p = 0.036) were observed in obese relative to normal weight subjects. VAT in a single slice at L3-level showed the highest explained variance against CT volume (R2 = 0.97), but a combination of three slices (L2, L3, L4) explained a significantly higher variance than L3 alone (R2 = 0.98, p < 0.006). The anthropometric measurements explained between 31-65% of the variance of volumetric VAT measured by DXA and CT. CONCLUSIONS DXA and the combined use of three CT slices (L2-L4) are valid to predict abdominal volumetric VAT and FM in CRC patients when using volumetric CT as a reference method. Due to the poor performance of anthropometric measurements we recommend exploring the added value of advanced body composition by DXA and CT integrated into CRC care.
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Affiliation(s)
- Dena Helene Alavi
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
| | - Hege Berg Henriksen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | | | - Ane Sørlie Kværner
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway; Section for Colorectal Cancer Screening, Cancer Registry of Norway, Oslo, Norway
| | - Tomas Sakinis
- Medical Division, Radiology & Nuclear Medicine, Neuroimaging Research Group, Oslo University Hospital, Oslo, Norway
| | - Torgrim Mikal Langleite
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Christine Henriksen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Siv Kjølsrud Bøhn
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway
| | - Ingvild Paur
- Norwegian National Advisory Unit on Disease-Related Malnutrition, Oslo University Hospital, Oslo, Norway
| | - Gro Wiedswang
- Department of Gastrointestinal Surgery, Oslo University Hospital, Ullevål, Norway
| | - Sigbjørn Smeland
- Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Rune Blomhoff
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway; Department of Clinical Service, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway
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Davidson FE, Matsha TE, Erasmus RT, Ismail S, Kengne AP, Goedecke JH. Comparison of single-slice CT and DXA-derived measures of central adiposity in South African women. Eur J Clin Nutr 2020; 74:1282-1289. [PMID: 32322047 DOI: 10.1038/s41430-020-0631-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 03/28/2020] [Accepted: 03/31/2020] [Indexed: 01/05/2023]
Abstract
BACKGROUND Visceral adipose tissue (VAT) accumulation is a known risk factor for cardiometabolic diseases. Efficient imaging modalities are necessary to quantify VAT. The study assessed the agreement between dual-energy x-ray absorptiometry (DXA) and single-slice computed tomography (CT) for abdominal fat quantification in mixed-ancestry South African women, and determined if this differed by body mass index (BMI) categories. METHODS VAT and abdominal subcutaneous adipose tissue (SAT) were measured using single-slice CT and DXA in 132 women aged 55 (45-64) years. Participants were categorised as normal weight (BMI < 25 kg/m2), overweight (BMI: 25-29.9 kg/m2) and obese (BMI ≥ 30 kg/m2). Pearson correlation coefficients and Bland-Altman analysis were used to determine agreement between the two measurements. RESULTS Two thirds of the participants were obese. DXA and CT-derived measurements of abdominal VAT and SAT were significantly correlated in the overall sample (r = 0.872 and r = 0.966, both p < 0.001, respectively) and within BMI categories. DXA overestimated VAT and SAT in the overall sample and across BMI categories. In the overall sample, the mean difference (DXA-CT estimates) was 75.3 cm2 (95% CI: 68.8-81.8 cm2, p ≤ 0.0001) for VAT and 54.7 cm2 (47.1-62.3 cm2, p ≤ 0.0001) for SAT. Within increasing BMI categories, the variance between the two modalities was fixed for VAT (p = 0.359 for obese), whereas the variance for SAT was heteroscedastic (p ≤ 0.0001). CONCLUSIONS DXA overestimated VAT and abdominal SAT in a sample of middle-aged mixed-ancestry South African women. VAT variance was fixed in the obesity category, an indication that DXA may be valid in measuring VAT in obese people.
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Affiliation(s)
- Florence E Davidson
- Department of Medical Imaging and Therapeutic Sciences, Cape Peninsula University of Technology, Symphony Way, Bellville, Cape Town, 7530, South Africa.
| | - Tandi E Matsha
- SAMRC/CPUT/Cardiometabolic Health Research Unit, Department of Biomedical Sciences, Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Symphony Way, Bellville, Cape Town, 7530, South Africa
| | - Rajiv T Erasmus
- Division of Chemical Pathology, Faculty of Medicine and Health Sciences, National Health Laboratory Service (NHLS), University of Stellenbosch, Cape Town, South Africa
| | - Saaiga Ismail
- Department of Medical Imaging and Therapeutic Sciences, Cape Peninsula University of Technology, Symphony Way, Bellville, Cape Town, 7530, South Africa
| | - Andre Pascal Kengne
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Francie van Zijl Drive, Parow Valley, Cape Town, 7505, South Africa
| | - Julia H Goedecke
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Francie van Zijl Drive, Parow Valley, Cape Town, 7505, South Africa
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Murphy J, Bacon SL, Morais JA, Tsoukas MA, Santosa S. Intra-Abdominal Adipose Tissue Quantification by Alternative Versus Reference Methods: A Systematic Review and Meta-Analysis. Obesity (Silver Spring) 2019; 27:1115-1122. [PMID: 31131996 DOI: 10.1002/oby.22494] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Accepted: 02/28/2019] [Indexed: 01/11/2023]
Abstract
OBJECTIVE This meta-analysis aimed to assess the agreement between intra-abdominal adipose tissue (IAAT) quantified by alternative methods and the reference standards, computed tomography (CT) and magnetic resonance imaging (MRI). METHODS MEDLINE and EMBASE electronic databases were systematically searched to identify studies that quantified IAAT thickness, area, or volume by a comparator method and CT or MRI. Using an inverse variance weighted approach (random-effects model), the mean differences and 95% limits of agreement (LoA) were pooled between methods. RESULTS The meta-analysis included 24 studies using four comparator methods. The pooled mean differences were -0.3 cm (95% LoA: -3.4 to 3.2 cm; P = 0.400) for ultrasound and -11.6 cm2 (95% LoA: -43.1 to 19.9 cm2 ; P = 0.004) for bioelectrical impedance analysis. Dual-energy x-ray absorptiometry (DXA) quantified both IAAT area and volume with mean differences of 8.1 cm2 (95% LoA: -98.9 to 115.1 cm2 ; P = 0.061) and 10 cm3 (95% LoA: -280 to 300 cm3 ; P = 0.808), respectively. CONCLUSIONS Ultrasound and DXA measure IAAT with minimal bias from CT or MRI, while bioelectrical impedance analysis systematically underestimates IAAT. However, with the exception of DXA for IAAT volume, the wide LoA caution against clinical or research use of the comparator methods and emphasize the need to optimize alternatives to the reference standards.
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Affiliation(s)
- Jessica Murphy
- Department of Health, Kinesiology and Applied Physiology, Concordia University, Montreal, Quebec, Canada
- Metabolism, Obesity and Nutrition Laboratory, PERFORM Centre, Concordia University, Montreal, Quebec, Canada
- Centre de recherche - Axe maladies chroniques, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada
| | - Simon L Bacon
- Department of Health, Kinesiology and Applied Physiology, Concordia University, Montreal, Quebec, Canada
- Centre de recherche - Axe maladies chroniques, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada
- Montreal Behavioural Medicine Centre, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada
| | - José A Morais
- Department of Health, Kinesiology and Applied Physiology, Concordia University, Montreal, Quebec, Canada
- Division of Geriatric Medicine, Department of Medicine, McGill University, Montreal, Quebec, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Michael A Tsoukas
- Division of Endocrinology and Metabolism, Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Sylvia Santosa
- Department of Health, Kinesiology and Applied Physiology, Concordia University, Montreal, Quebec, Canada
- Metabolism, Obesity and Nutrition Laboratory, PERFORM Centre, Concordia University, Montreal, Quebec, Canada
- Centre de recherche - Axe maladies chroniques, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada
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6
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Panizza CE, Lim U, Yonemori KM, Cassel KD, Wilkens LR, Harvie MN, Maskarinec G, Delp EJ, Lampe JW, Shepherd JA, Le Marchand L, Boushey CJ. Effects of Intermittent Energy Restriction Combined with a Mediterranean Diet on Reducing Visceral Adiposity: A Randomized Active Comparator Pilot Study. Nutrients 2019; 11:E1386. [PMID: 31226790 PMCID: PMC6627434 DOI: 10.3390/nu11061386] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 06/18/2019] [Accepted: 06/18/2019] [Indexed: 02/07/2023] Open
Abstract
Intermittent energy restriction combined with a Mediterranean diet (IER+MED) has shown promise to reduce body fat and insulin resistance. In the Multiethnic Cohort Adiposity Phenotype Study, Japanese Americans had the highest visceral adipose tissue (VAT) when adjusting for total adiposity. We conducted this pilot study to demonstrate feasibility and explore efficacy of following IER+MED for 12 weeks to reduce VAT among East Asians in Hawaii. Sixty volunteers (aged 35-55, BMI 25-40 kg/m2, VAT ≥ 90 cm2 for men and ≥ 80 cm2 for women) were randomized to IER+MED (two consecutive days with 70% energy restriction and 5 days euenergetic MED) or an active comparator (euenergetic Dietary Approaches to Stop Hypertension (DASH) diet). Participants and clinic staff (except dietitians) were blinded to group assignments. IER+MED had significantly larger reductions in DXA-measured VAT and total fat mass (-22.6 ± 3.6 cm2 and -3.3 ± 0.4 kg, respectively) vs. DASH (-10.7 ± 3.5 cm2 and -1.6 ± 0.4 kg) (p = 0.02 and p = 0.005). However, after adjusting for total fat mass, change in VAT was not statistically different between groups; whereas, improvement in alanine transaminase remained significantly greater for IER+MED vs. DASH (-16.2 ± 3.8 U/L vs. -4.0 ± 3.6 U/L, respectively, p = 0.02). Attrition rate was 10%, and participants adhered well to study prescriptions with no reported major adverse effect. Results demonstrate IER+MED is acceptable, lowers visceral and total adiposity among East Asian Americans, and may improve liver function more effectively than a healthful diet pattern. ClinicalTrials.gov Identifier: NCT03639350.
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Affiliation(s)
- Chloe E Panizza
- University of Hawaii Cancer Center, Honolulu, HI 96813, USA.
| | - Unhee Lim
- University of Hawaii Cancer Center, Honolulu, HI 96813, USA.
| | - Kim M Yonemori
- University of Hawaii Cancer Center, Honolulu, HI 96813, USA.
| | - Kevin D Cassel
- University of Hawaii Cancer Center, Honolulu, HI 96813, USA.
| | - Lynne R Wilkens
- University of Hawaii Cancer Center, Honolulu, HI 96813, USA.
| | - Michelle N Harvie
- Prevent Breast Cancer Research Unit, Manchester University Hospital Foundation, National Health Service Trust, Wythenshawe, Manchester M23 9LT, UK.
| | | | - Edward J Delp
- School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907-2025, USA.
| | - Johanna W Lampe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
| | - John A Shepherd
- University of Hawaii Cancer Center, Honolulu, HI 96813, USA.
| | | | - Carol J Boushey
- University of Hawaii Cancer Center, Honolulu, HI 96813, USA.
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7
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Schousboe JT, Kats AM, Langsetmo L, Vo TN, Taylor BC, Schwartz AV, Cawthon PM, Lewis CE, Barrett‐Connor E, Hoffman AR, Orwoll ES, Ensrud KE. Central Obesity and Visceral Adipose Tissue Are Not Associated With Incident Atherosclerotic Cardiovascular Disease Events in Older Men. J Am Heart Assoc 2018; 7:e009172. [PMID: 30369326 PMCID: PMC6201395 DOI: 10.1161/jaha.118.009172] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 06/15/2018] [Indexed: 12/15/2022]
Abstract
Background Visceral adipose tissue ( VAT ) and other measures of central obesity predict incident atherosclerotic cardiovascular disease ( ASCVD ) events in middle-aged individuals, but these associations are less certain in older individuals age 70 years and older. Our objective was to estimate the associations of VAT and the android-gynoid fat mass ratio, another measure of central obesity, with incident ASCVD events among a large cohort of older men. Methods and Results Two thousand eight hundred ninety-nine men (mean [ SD ] age 76.3 [5.5] years) enrolled in the Outcomes of Sleep Disorders in Older Men study had rigorous adjudication of incident ASCVD events (myocardial infarction, coronary heart disease death, or fatal or nonfatal stroke). We used proportional hazards models to estimate the hazard ratios for incident ASCVD per SD increase of VAT or android-gynoid fat mass ratio (measured at baseline with dual-energy absorptiometry), adjusted for age, race, education, systolic blood pressure, smoking status, oxidized low-density lipoprotein level, treatment for hypertension, statin use, aspirin use, presence of diabetes mellitus, and study enrollment site. Over a mean ( SD ) follow-up period of 7.9 (3.4) years, 424 men (14.6%) had an incident ASCVD event. Neither VAT nor android-gynoid fat mass ratio were associated with incident ASCVD events, either unadjusted or after multivariable-adjustment (hazard ratios [95% confidence interval ] per SD increase 1.02 [0.92-1.13] and 1.05 [0.95-1.17], respectively). Conclusions Central adipose tissue, as measured by VAT or android-gynoid fat mass ratio, was not associated with incident ASCVD events in this study of older men.
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Affiliation(s)
- John T. Schousboe
- Park Nicollet Clinic & HealthPartners InstituteMinneapolisMN
- University of MinnesotaMinneapolisMN
| | | | | | | | - Brent C. Taylor
- University of MinnesotaMinneapolisMN
- VA Health Care SystemMinneapolisMN
| | | | - Peggy M. Cawthon
- California Pacific Medical Center Research InstituteSan FranciscoCA
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Seimon RV, Wild-Taylor AL, Gibson AA, Harper C, McClintock S, Fernando HA, Hsu MSH, da Luz FQ, Keating SE, Johnson NA, Grieve SM, Markovic TP, Caterson ID, Byrne NM, Sainsbury A. Less Waste on Waist Measurements: Determination of Optimal Waist Circumference Measurement Site to Predict Visceral Adipose Tissue in Postmenopausal Women with Obesity. Nutrients 2018; 10:nu10020239. [PMID: 29461494 PMCID: PMC5852815 DOI: 10.3390/nu10020239] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Revised: 02/01/2018] [Accepted: 02/14/2018] [Indexed: 11/16/2022] Open
Abstract
With obesity being a leading cause of preventable death, it is vital to understand how best to identify individuals with greater risk of metabolic disease, especially those with high visceral adipose tissue (VAT). This study aimed to determine whether three commonly used waist circumference (WC) measurement sites could provide accurate estimations of VAT, as determined by magnetic resonance imaging (MRI), which is a gold standard for measuring VAT, in postmenopausal women with obesity. VAT volume was measured by MRI of the total abdomen in 97 women aged 57.7 ± 0.4 years (mean ± SEM), mean body mass index 34.5 ± 0.2 kg/m2. WC was measured at the midpoint between the lowest rib and the iliac crest (WCmid), the narrowest point of the torso (WCnarrow), and at the level of the umbilicus (WCumbilicus). WC differed significantly according to measurement site, with WCnarrow (102.1 ± 0.7 cm) < WCmid (108.3 ± 0.7 cm) < WCumbilicus (115.7 ± 0.8 cm) (p < 0.001). WCmid, WCnarrow and WCumbilicus were all significantly correlated with VAT, as measured by MRI (r = 0.581, 0.563 and 0.390, respectively; p < 0.001 for all), but the relationships between WCmid or WCnarrow and VAT determined by MRI were stronger than for WCumbilicus. Measurement of either WCmid or WCnarrow provides valid estimates of VAT in postmenopausal women with obesity, with WCnarrow being favoured in light of its greater ease and speed of measurement in this population.
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Affiliation(s)
- Radhika V. Seimon
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Sydney Medical School, Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2050, Australia; (A.L.W.-T.); (A.A.G.); (C.H.); (S.M.); (H.A.F.); (M.S.H.H.); (F.Q.d.L.); (N.A.J.); (T.P.M.); (I.D.C.); (A.S.)
- Correspondence: ; Tel.: +61-2-8627-1918; Fax: +61-2-8627-0141
| | - Anthony L. Wild-Taylor
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Sydney Medical School, Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2050, Australia; (A.L.W.-T.); (A.A.G.); (C.H.); (S.M.); (H.A.F.); (M.S.H.H.); (F.Q.d.L.); (N.A.J.); (T.P.M.); (I.D.C.); (A.S.)
| | - Alice A. Gibson
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Sydney Medical School, Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2050, Australia; (A.L.W.-T.); (A.A.G.); (C.H.); (S.M.); (H.A.F.); (M.S.H.H.); (F.Q.d.L.); (N.A.J.); (T.P.M.); (I.D.C.); (A.S.)
| | - Claudia Harper
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Sydney Medical School, Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2050, Australia; (A.L.W.-T.); (A.A.G.); (C.H.); (S.M.); (H.A.F.); (M.S.H.H.); (F.Q.d.L.); (N.A.J.); (T.P.M.); (I.D.C.); (A.S.)
| | - Sally McClintock
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Sydney Medical School, Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2050, Australia; (A.L.W.-T.); (A.A.G.); (C.H.); (S.M.); (H.A.F.); (M.S.H.H.); (F.Q.d.L.); (N.A.J.); (T.P.M.); (I.D.C.); (A.S.)
| | - Hamish A. Fernando
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Sydney Medical School, Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2050, Australia; (A.L.W.-T.); (A.A.G.); (C.H.); (S.M.); (H.A.F.); (M.S.H.H.); (F.Q.d.L.); (N.A.J.); (T.P.M.); (I.D.C.); (A.S.)
| | - Michelle S. H. Hsu
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Sydney Medical School, Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2050, Australia; (A.L.W.-T.); (A.A.G.); (C.H.); (S.M.); (H.A.F.); (M.S.H.H.); (F.Q.d.L.); (N.A.J.); (T.P.M.); (I.D.C.); (A.S.)
| | - Felipe Q. da Luz
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Sydney Medical School, Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2050, Australia; (A.L.W.-T.); (A.A.G.); (C.H.); (S.M.); (H.A.F.); (M.S.H.H.); (F.Q.d.L.); (N.A.J.); (T.P.M.); (I.D.C.); (A.S.)
- School of Psychology, Faculty of Science, The University of Sydney, Camperdown, NSW 2050, Australia
| | - Shelley E. Keating
- School of Human Movement and Nutrition Sciences, Centre for Research on Exercise, Physical Activity and Health, The University of Queensland, Brisbane, QLD 4072, Australia;
| | - Nathan A. Johnson
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Sydney Medical School, Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2050, Australia; (A.L.W.-T.); (A.A.G.); (C.H.); (S.M.); (H.A.F.); (M.S.H.H.); (F.Q.d.L.); (N.A.J.); (T.P.M.); (I.D.C.); (A.S.)
- Faculty of Health Sciences, The University of Sydney, Sydney, NSW 2050, Australia
| | - Stuart M. Grieve
- Sydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2050, Australia;
- Department of Radiology, Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia
| | - Tania P. Markovic
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Sydney Medical School, Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2050, Australia; (A.L.W.-T.); (A.A.G.); (C.H.); (S.M.); (H.A.F.); (M.S.H.H.); (F.Q.d.L.); (N.A.J.); (T.P.M.); (I.D.C.); (A.S.)
- Metabolism & Obesity Services, Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia
| | - Ian D. Caterson
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Sydney Medical School, Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2050, Australia; (A.L.W.-T.); (A.A.G.); (C.H.); (S.M.); (H.A.F.); (M.S.H.H.); (F.Q.d.L.); (N.A.J.); (T.P.M.); (I.D.C.); (A.S.)
| | - Nuala M. Byrne
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, TAS 7250, Australia;
| | - Amanda Sainsbury
- The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Sydney Medical School, Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2050, Australia; (A.L.W.-T.); (A.A.G.); (C.H.); (S.M.); (H.A.F.); (M.S.H.H.); (F.Q.d.L.); (N.A.J.); (T.P.M.); (I.D.C.); (A.S.)
- School of Psychology, Faculty of Science, The University of Sydney, Camperdown, NSW 2050, Australia
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9
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Sanders KJC, Ash SY, Washko GR, Mottaghy FM, Schols AMWJ. Imaging approaches to understand disease complexity: chronic obstructive pulmonary disease as a clinical model. J Appl Physiol (1985) 2017; 124:512-520. [PMID: 28751367 DOI: 10.1152/japplphysiol.00143.2017] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
The clinical manifestations of chronic obstructive pulmonary disease (COPD) reflect an aggregate of multiple pulmonary and extrapulmonary processes. It is increasingly clear that full assessment of these processes is essential to characterize disease burden and to tailor therapy. Medical imaging has advanced such that it is now possible to obtain in vivo insight in the presence and severity of lung disease-associated features. In this review, we have assembled data from multiple disciplines of medical imaging research to review the role of imaging in characterization of COPD. Topics include imaging of the lungs, body composition, and extrapulmonary tissue metabolism. The primary focus is on imaging modalities that are widely available in clinical care settings and that potentially contribute to describing COPD heterogeneity and enhance our insight in underlying pathophysiological processes and their structural and functional effects.
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Affiliation(s)
- Karin J C Sanders
- Department of Respiratory Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre , Maastricht , The Netherlands
| | - Samuel Y Ash
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital , Boston, Massachusetts
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital , Boston, Massachusetts
| | - Felix M Mottaghy
- Department of Nuclear Medicine, Maastricht University Medical Centre , Maastricht , The Netherlands.,Department of Nuclear Medicine, University Hospital, RWTH Aachen University , Aachen , Germany
| | - Annemie M W J Schols
- Department of Respiratory Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre , Maastricht , The Netherlands
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10
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Schousboe JT, Langsetmo L, Schwartz AV, Taylor BC, Vo TN, Kats AM, Barrett-Connor E, Orwoll ES, Marshall LM, Miljkovic I, Lane NE, Ensrud KE. Comparison of Associations of DXA and CT Visceral Adipose Tissue Measures With Insulin Resistance, Lipid Levels, and Inflammatory Markers. J Clin Densitom 2017; 20:256-264. [PMID: 28238606 PMCID: PMC5560438 DOI: 10.1016/j.jocd.2017.01.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 01/08/2017] [Accepted: 01/09/2017] [Indexed: 01/29/2023]
Abstract
Visceral adipose tissue (VAT) measured by computed tomography (CT) is related to insulin resistance, lipids, and serum inflammatory markers. Our objective was to compare the strength of the associations of VAT measured using dual-energy X-ray absorptiometry (DXA-VAT) and CT (CT-VAT) with insulin resistance, serum lipids, and serum markers of inflammation. For 1117 men aged 65 and older enrolled in the Osteoporotic Fractures in Men Study, the cross-sectional associations of DXA-VAT and CT-VAT with homeostasis model assessment of insulin resistance (homa2ir), C-reactive protein, and high-density lipoprotein (HDL) cholesterol were estimated with regression models and compared using a Hausman test. Adjusted for age and body mass index, DXA-VAT was moderately associated with homa2ir (effect size 0.38, 95% confidence interval [CI]: 0.28-0.47) and modestly associated with HDL cholesterol (DXA effect size -0.29, 95% CI: -0.38 to -0.21). These associations were significantly greater than those for CT-VAT with homa2ir (0.30, 95% CI: 0.24-0.37; p value for effect size difference 0.03) and CT-VAT with HDL cholesterol (-0.22, 95% CI: -0.29 to -0.15; p value for difference 0.005). Neither DXA-VAT nor CT-VAT was associated with C-reactive protein after adjustment for age and body mass index (DXA-VAT effect size 0.14, 95% CI: -0.04 to 0.32; CT-VAT effect size 0.08, 95% CI: -0.08 to 0.25; p value for difference 0.35). DXA-VAT has similar or greater associations with insulin resistance and HDL cholesterol as does CT-VAT in older men, confirming the concurrent validity of DXA-VAT. Investigations of how well DXA measurements of VAT predict incident cardiovascular disease events are warranted.
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Affiliation(s)
- John T Schousboe
- Park Nicollet Clinic and Health Partners Institute, HealthPartners, Minneapolis, MN, USA; Division of Health Policy and Management, University of Minnesota, Minneapolis, MN, USA.
| | - Lisa Langsetmo
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN; Department of Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Ann V Schwartz
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Brent C Taylor
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN; Department of Medicine, University of Minnesota, Minneapolis, MN, USA; Center for Chronic Disease Outcomes Research, Minneapolis VA Health Care System, Minneapolis, MN, USA
| | - Tien N Vo
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
| | - Allyson M Kats
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
| | - Elizabeth Barrett-Connor
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Eric S Orwoll
- Bone and Mineral Unit, Department of Medicine, Oregon Health & Sciences University, Portland, OR, USA
| | - Lynn M Marshall
- Bone and Mineral Unit, Department of Medicine, Oregon Health & Sciences University, Portland, OR, USA; Department of Orthopaedics and Rehabilitation, Oregon Health & Science University, Portland, OR, USA
| | - Iva Miljkovic
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Nancy E Lane
- Department of Medicine, University of California, Davis, Davis, CA, USA; Department of Rheumatology, University of California, Davis, Davis, CA, USA
| | - Kristine E Ensrud
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN; Department of Medicine, University of Minnesota, Minneapolis, MN, USA; Center for Chronic Disease Outcomes Research, Minneapolis VA Health Care System, Minneapolis, MN, USA
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11
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Park JS, Ha KH, He K, Kim DJ. Association between Blood Mercury Level and Visceral Adiposity in Adults. Diabetes Metab J 2017; 41:113-120. [PMID: 28029015 PMCID: PMC5409010 DOI: 10.4093/dmj.2017.41.2.113] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Accepted: 08/16/2016] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Few studies have examined the association between mercury exposure and obesity. The aim of this study is to investigate the association between blood mercury concentrations and indices of obesity in adults. METHODS A total of 200 healthy subjects, aged 30 to 64 years, who had no history of cardiovascular or malignant disease, were examined. Anthropometric and various biochemical profiles were measured. Visceral adipose tissue (VAT) was measured using dual-energy X-ray absorptiometry (DXA). RESULTS All subjects were divided into three groups according to blood mercury concentrations. Compared with the subjects in the lowest tertile of mercury, those in the highest tertile were more likely to be male; were current alcohol drinkers and smokers; had a higher body mass index (BMI), waist circumference (WC), and VAT; had higher levels of blood pressure, fasting glucose, and insulin resistance; and consumed more fish. The blood mercury concentration was significantly associated with anthropometric parameters, showing relationships with BMI, WC, and VAT. After adjusting for multiple risk factors, the odds ratios (ORs) for high mercury concentration was significantly higher in the highest VAT tertile than in the lowest VAT tertile (OR, 2.66; 95% confidence interval, 1.05 to 6.62; P<0.05). CONCLUSION The blood mercury concentration was significantly associated with VAT in healthy adults. Further studies are warranted to confirm our findings.
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Affiliation(s)
- Jong Suk Park
- Department of Endocrinology and Metabolism, Yonsei University College of Medicine, Seoul, Korea
| | - Kyoung Hwa Ha
- Cardiovascular and Metabolic Disease Etiology Research Center, Ajou University School of Medicine, Suwon, Korea
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea
| | - Ka He
- Department of Epidemiology and Biostatistics, Indiana University Bloomington School of Public Health, Bloomington, IN, USA
| | - Dae Jung Kim
- Cardiovascular and Metabolic Disease Etiology Research Center, Ajou University School of Medicine, Suwon, Korea
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea.
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12
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Reinhardt M, Piaggi P, DeMers B, Trinidad C, Krakoff J. Cross calibration of two dual-energy X-ray densitometers and comparison of visceral adipose tissue measurements by iDXA and MRI. Obesity (Silver Spring) 2017; 25:332-337. [PMID: 28000375 PMCID: PMC5269467 DOI: 10.1002/oby.21722] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2016] [Revised: 10/04/2016] [Accepted: 10/19/2016] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Compare total percentage body fat (pfat) measurements between two densitometers and visceral adipose tissue (VAT) estimates between iDXA and magnetic resonance imaging (MRI) from the same defined abdominal region. METHODS Participants [N = 93 (50 men, 43 women), BMI: 19.1-57.6 kg/m2 ] underwent dual-energy X-ray absorptiometry (DXA) scans on two DXA systems (GE Healthcare Lunar iDXA and Lunar Prodigy), and a subgroup underwent abdominal MRI imaging for quantification of VAT. RESULTS Pfat correlated strongly between both machines (r2 = 0.98, P < 1.0E-14). Bland-Altman plots showed a bias with higher measured pfat on iDXA versus Prodigy in leaner subjects and the opposite in more overweight subjects. The R2 for regression of MRI on iDXA VAT values was 0.948. Bland-Altman bias was +104.1 cm3 with 95% limits of agreement of -681.9 to 890.0 cm3 . For both DXA methods, and iDXA versus MRI determined VAT, comparison using rank regression demonstrated no order bias. CONCLUSIONS The total pfat measured by both machines was strongly and linearly associated, allowing for conversion (equations are provided) of iDXA for assessment of longitudinal body fat changes. Despite a bias of abdominal VAT measures of iDXA versus MRI, the high rank correlation makes iDXA a good alternative to the more complicated and time-consuming MRI for use in larger cross-sectional and longitudinal studies.
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Affiliation(s)
- Martin Reinhardt
- Obesity and Diabetes Clinical Research Section, Phoenix
Epidemiology and Clinical Research Branch National Institute of Diabetes and
Digestive and Kidney Diseases, National Institutes of Health, Department of Health
and Human Services, 4212 N. 16 Street, Phoenix, Arizona 85016
- Department of Diagnostic and Interventional Radiology,
University of Leipzig, Germany
| | - Paolo Piaggi
- Obesity and Diabetes Clinical Research Section, Phoenix
Epidemiology and Clinical Research Branch National Institute of Diabetes and
Digestive and Kidney Diseases, National Institutes of Health, Department of Health
and Human Services, 4212 N. 16 Street, Phoenix, Arizona 85016
| | - Barbara DeMers
- Obesity and Diabetes Clinical Research Section, Phoenix
Epidemiology and Clinical Research Branch National Institute of Diabetes and
Digestive and Kidney Diseases, National Institutes of Health, Department of Health
and Human Services, 4212 N. 16 Street, Phoenix, Arizona 85016
| | - Cathy Trinidad
- Obesity and Diabetes Clinical Research Section, Phoenix
Epidemiology and Clinical Research Branch National Institute of Diabetes and
Digestive and Kidney Diseases, National Institutes of Health, Department of Health
and Human Services, 4212 N. 16 Street, Phoenix, Arizona 85016
| | - Jonathan Krakoff
- Obesity and Diabetes Clinical Research Section, Phoenix
Epidemiology and Clinical Research Branch National Institute of Diabetes and
Digestive and Kidney Diseases, National Institutes of Health, Department of Health
and Human Services, 4212 N. 16 Street, Phoenix, Arizona 85016
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13
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Mohammad A, De Lucia Rolfe E, Sleigh A, Kivisild T, Behbehani K, Wareham NJ, Brage S, Mohammad T. Validity of visceral adiposity estimates from DXA against MRI in Kuwaiti men and women. Nutr Diabetes 2017; 7:e238. [PMID: 28067890 PMCID: PMC5301039 DOI: 10.1038/nutd.2016.38] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Revised: 05/12/2016] [Accepted: 07/20/2016] [Indexed: 01/17/2023] Open
Abstract
OBJECTIVES The prevalence of obesity and diabetes in the Middle East is among the highest in the world. Valid measures of abdominal adiposity are essential to understanding the metabolic consequences of obesity. Dual-energy X-ray absorptiometry (DXA) is increasingly being utilised to assess body composition in population studies, and has recently been used to estimate visceral adipose tissue (VAT). The aim of this study was to determine the accuracy of DXA-derived VAT in a Middle Eastern population using magnetic resonance imaging (MRI) as the criterion measure. METHOD VAT was estimated from abdominal DXA measures in 237 adult men (n=130) and women (n=107), aged 18-65 years, participating in the Kuwait Wellbeing Study. These estimates were compared with MRI measures of the corresponding anatomical region. The agreement between methods was assessed using Bland-Altman as well as correlation analysis. RESULTS Median MRI VAT was 1148.5 cm3 (95% confidence interval: 594.2-1734.6) in men and 711.3 cm3 (95% confidence interval: 395.5-1042.8) in women. DXA estimates of VAT showed high correlations with corresponding MRI measures (r=0.94 (P<0.0001) in men; r=0.93 (P<0.0001) in women). DXA overestimated VAT with a mean bias (95% limits of agreement) of 79.7 cm3 (-767 to 963) in men and 46.8 cm3 (-482 to 866) in women. The imprecision of DXA increased with increasing VAT level in both men and women. CONCLUSION DXA estimates of VAT are valid for use in Middle Eastern populations, although accuracy decreases with increasing level of visceral adiposity.
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Affiliation(s)
- A Mohammad
- Department of Public Health Research, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - E De Lucia Rolfe
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - A Sleigh
- Wolfson Brain Imaging Centre, University of Cambridge School of Clinical Medicine, and NIHR/Wellcome Trust Clinical Research Facility, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK
| | - T Kivisild
- Department of Biological Anthropology, University of Cambridge, Cambridge, UK
| | - K Behbehani
- Department of Public Health Research, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - N J Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - S Brage
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - T Mohammad
- Department of Biological Anthropology, University of Cambridge, Cambridge, UK
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14
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Lynch HM, Wharton CM, Johnston CS. Cardiorespiratory Fitness and Peak Torque Differences between Vegetarian and Omnivore Endurance Athletes: A Cross-Sectional Study. Nutrients 2016; 8:nu8110726. [PMID: 27854281 PMCID: PMC5133111 DOI: 10.3390/nu8110726] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 11/07/2016] [Accepted: 11/10/2016] [Indexed: 12/24/2022] Open
Abstract
In spite of well-documented health benefits of vegetarian diets, less is known regarding the effects of these diets on athletic performance. In this cross-sectional study, we compared elite vegetarian and omnivore adult endurance athletes for maximal oxygen uptake (VO2 max) and strength. Twenty-seven vegetarian (VEG) and 43 omnivore (OMN) athletes were evaluated using VO2 max testing on the treadmill, and strength assessment using a dynamometer to determine peak torque for leg extensions. Dietary data were assessed using detailed seven-day food logs. Although total protein intake was lower among vegetarians in comparison to omnivores, protein intake as a function of body mass did not differ by group (1.2 ± 0.3 and 1.4 ± 0.5 g/kg body mass for VEG and OMN respectively, p = 0.220). VO2 max differed for females by diet group (53.0 ± 6.9 and 47.1 ± 8.6 mL/kg/min for VEG and OMN respectively, p < 0.05) but not for males (62.6 ± 15.4 and 55.7 ± 8.4 mL/kg/min respectively). Peak torque did not differ significantly between diet groups. Results from this study indicate that vegetarian endurance athletes’ cardiorespiratory fitness was greater than that for their omnivorous counterparts, but that peak torque did not differ between diet groups. These data suggest that vegetarian diets do not compromise performance outcomes and may facilitate aerobic capacity in athletes.
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Affiliation(s)
- Heidi M Lynch
- Arizona State University, School of Nutrition and Health Promotion, Phoenix, AZ 85004, USA.
| | - Christopher M Wharton
- Arizona State University, School of Nutrition and Health Promotion, Phoenix, AZ 85004, USA.
| | - Carol S Johnston
- Arizona State University, School of Nutrition and Health Promotion, Phoenix, AZ 85004, USA.
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15
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Neeland IJ, Grundy SM, Li X, Adams-Huet B, Vega GL. Comparison of visceral fat mass measurement by dual-X-ray absorptiometry and magnetic resonance imaging in a multiethnic cohort: the Dallas Heart Study. Nutr Diabetes 2016; 6:e221. [PMID: 27428873 PMCID: PMC4973141 DOI: 10.1038/nutd.2016.28] [Citation(s) in RCA: 98] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Revised: 06/02/2016] [Accepted: 06/19/2016] [Indexed: 11/28/2022] Open
Abstract
Background/Objectives: Visceral adipose tissue (VAT) mass, a risk factor for cardiometabolic complications of obesity, is usually measured by magnetic resonance imaging (MRI) but this method is not practical in a clinical setting. In contrast, measurement of VAT by dual-x-ray absorptiometry (DXA) appears to circumvent the limitations of MRI. In this study, we compared measurements of VAT mass by MRI and DXA in the large, multiethnic cohort of the Dallas Heart Study (DHS). Subjects/Methods: About 2689 DHS participants underwent paired measurement of VAT by MRI and DXA. Sex-stratified analyses were performed to evaluate the correlation and agreement between DXA and MRI. Model validation was performed using bootstrapping and inter-reader variability was assessed. Results: Mean age of the cohort was 44 years, with 55% female, 48% Black and 75% overweight/obese participants. Regression analysis showed a linear relationship between DXA and MRI with R2=0.82 (95% confidence interval (CI) 0.81–0.84) for females and R2=0.86 (95% CI 0.85–0.88) for males. Mean difference between methods was 0.01 kg for females and 0.09 kg for males. Bland–Altman analysis showed that DXA tended to modestly underestimate VAT compared with MRI at lower VAT levels and overestimate it compared with MRI at higher VAT levels. Results were consistent in analyses stratified by race, body mass index status, waist girth and body fat. Inter-individual reader correlation among 50 randomly selected scans was excellent (inter-class correlation coefficient=0.997). Conclusions: VAT mass quantification by DXA was both accurate and valid among a large, multiethnic cohort within a wide range of body fatness. Further studies including repeat assessments over time will help determine its long-term applicability.
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Affiliation(s)
- I J Neeland
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - S M Grundy
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Dallas VA North Texas Health Care System, Dallas, TX, USA.,Center for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - X Li
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - B Adams-Huet
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - G L Vega
- Dallas VA North Texas Health Care System, Dallas, TX, USA.,Center for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Clinical Nutrition, University of Texas Southwestern Medical Center, Dallas, TX, USA
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16
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Choi YJ. Dual-Energy X-Ray Absorptiometry: Beyond Bone Mineral Density Determination. Endocrinol Metab (Seoul) 2016; 31:25-30. [PMID: 26996419 PMCID: PMC4803557 DOI: 10.3803/enm.2016.31.1.25] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2015] [Revised: 01/15/2016] [Accepted: 01/21/2016] [Indexed: 01/06/2023] Open
Abstract
Significant improvements in dual-energy X-ray absorptiometry (DXA) concerning quality, image resolution and image acquisition time have allowed the development of various functions. DXA can evaluate bone quality by indirect analysis of micro- and macro-architecture of the bone, which and improve the prediction of fracture risk. DXA can also detect existing fractures, such as vertebral fractures or atypical femur fractures, without additional radiologic imaging and radiation exposure. Moreover, it can assess the metabolic status by the measurement of body composition parameters like muscle mass and visceral fat. Although more studies are required to validate and clinically use these parameters, it is clear that DXA is not just for bone mineral densitometry.
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Affiliation(s)
- Yong Jun Choi
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea.
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17
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Cirnigliaro CM, LaFountaine MF, Dengel DR, Bosch TA, Emmons RR, Kirshblum SC, Sauer S, Asselin P, Spungen AM, Bauman WA. Visceral adiposity in persons with chronic spinal cord injury determined by dual energy X-ray absorptiometry. Obesity (Silver Spring) 2015; 23:1811-7. [PMID: 26239944 DOI: 10.1002/oby.21194] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Accepted: 05/19/2015] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To determine visceral adipose tissue (VAT) volume (VATvol) by dual energy X-ray absorptiometry (DXA) in spinal cord injured (SCI) and able-bodied (AB) participants and to explore the relationships between VATvol and routine anthropometric measures. METHODS Sixty-three subjects with SCI and 126 healthy male AB controls were stratified as low risk [LR: waist circumference (WC) < 102 cm] and moderate to high risk (MHR: WC ≥ 102 cm) for identification of risk for cardiometabolic disease: AB-LR, SCI-LR, AB-MHR, and SCI-MHR. Anthropometrics and standard body composition measurements by DXA with analysis to derive VATvol were performed. RESULTS Comparison of the four subgroups demonstrated the highest subcutaneous adipose tissue volume (SATvol) in the AB-MHR group (P < 0.01), and the highest VATvol in the SCI-MHR group (P < 0.01). Furthermore, when compared to the AB group, participants with SCI had a 27% increase in VATvol for every centimeter increase in WC and a 20% increase in VATvol for every unit increase in BMI. CONCLUSIONS Because cutoff values for the routine surrogate measures of adiposity underestimate visceral adiposity in persons with SCI, the risk of adverse metabolic consequences would also be underestimated, which necessitates adjustment of the these cutoff values or, preferably, to perform its direct measurement.
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Affiliation(s)
- Christopher M Cirnigliaro
- Department of Veterans Affairs Rehabilitation Research and Development Service, National Center of Excellence on the Medical Consequences of Spinal Cord Injury, James J. Peters Veterans Affairs Medical Center, Bronx, New York, USA
| | - Michael F LaFountaine
- Department of Veterans Affairs Rehabilitation Research and Development Service, National Center of Excellence on the Medical Consequences of Spinal Cord Injury, James J. Peters Veterans Affairs Medical Center, Bronx, New York, USA
- The Institute for Advanced Study of Rehabilitation and Sports Science, School of Health and Medical Sciences, Seton Hall University, South Orange, New Jersey, USA
- Department of Physical Therapy, School of Health and Medical Sciences, Seton Hall University, South Orange, New Jersey, USA
| | - Donald R Dengel
- School of Kinesiology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Tyler A Bosch
- School of Kinesiology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Racine R Emmons
- Department of Kinesiology, William Patterson University, Wayne, New Jersey, USA
| | - Steven C Kirshblum
- Kessler Institute for Rehabilitation, West Orange, New Jersey, USA
- Department of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - Sue Sauer
- Kessler Institute for Rehabilitation, West Orange, New Jersey, USA
| | - Pierre Asselin
- Department of Veterans Affairs Rehabilitation Research and Development Service, National Center of Excellence on the Medical Consequences of Spinal Cord Injury, James J. Peters Veterans Affairs Medical Center, Bronx, New York, USA
| | - Ann M Spungen
- Department of Veterans Affairs Rehabilitation Research and Development Service, National Center of Excellence on the Medical Consequences of Spinal Cord Injury, James J. Peters Veterans Affairs Medical Center, Bronx, New York, USA
- Medical Service, James J. Peters Veterans Affairs Medical Center, Bronx, New York, USA
- Departments of Medicine and Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - William A Bauman
- Department of Veterans Affairs Rehabilitation Research and Development Service, National Center of Excellence on the Medical Consequences of Spinal Cord Injury, James J. Peters Veterans Affairs Medical Center, Bronx, New York, USA
- Medical Service, James J. Peters Veterans Affairs Medical Center, Bronx, New York, USA
- Departments of Medicine and Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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18
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Seabolt LA, Welch EB, Silver HJ. Imaging methods for analyzing body composition in human obesity and cardiometabolic disease. Ann N Y Acad Sci 2015; 1353:41-59. [PMID: 26250623 DOI: 10.1111/nyas.12842] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Advances in the technological qualities of imaging modalities for assessing human body composition have been stimulated by accumulating evidence that individual components of body composition have significant influences on chronic disease onset, disease progression, treatment response, and health outcomes. Importantly, imaging modalities have provided a systematic method for differentiating phenotypes of body composition that diverge from what is considered normal, that is, having low bone mass (osteopenia/osteoporosis), low muscle mass (sarcopenia), high fat mass (obesity), or high fat with low muscle mass (sarcopenic obesity). Moreover, advances over the past three decades in the sensitivity and quality of imaging not just to discern the amount and distribution of adipose and lean tissue but also to differentiate layers or depots within tissues and cells is enhancing our understanding of distinct mechanistic, metabolic, and functional roles of body composition within human phenotypes. In this review, we focus on advances in imaging technologies that show great promise for future investigation of human body composition and how they are being used to address the pandemic of obesity, metabolic syndrome, and diabetes.
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Affiliation(s)
- Lynn A Seabolt
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, Vanderbilt University, Nashville, Tennessee
| | - E Brian Welch
- Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee
| | - Heidi J Silver
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, Vanderbilt University, Nashville, Tennessee
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Choi YJ, Seo YK, Lee EJ, Chung YS. Quantification of visceral fat using dual-energy x-ray absorptiometry and its reliability according to the amount of visceral fat in Korean adults. J Clin Densitom 2015; 18:192-7. [PMID: 25937307 DOI: 10.1016/j.jocd.2015.02.001] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2014] [Revised: 02/03/2015] [Accepted: 02/03/2015] [Indexed: 01/06/2023]
Abstract
Recently, a fully automated method for segmenting abdominal fat into subcutaneous fat and visceral fat (VF) within the android region using dual-energy X-ray absorptiometry (DXA) has been newly developed. The purpose of this study was to validate a new DXA method by comparing it to the gold standard, computed tomography (CT), in the Korean population. Furthermore, we examined its reliability regarding VF and explored whether it is applicable to the Asian population, which has relatively larger amount of VF. We studied 123 adult men and women, aged 22-73 yr, representing a wide range of body mass index values (17.1-36.0 kg/m(2)), who underwent both DXA and CT in a fasting state within 1 h. The coefficient of determination (r(2)) for regression of the CT on DXA values was 0.892 for females, 0.838 for males, and 0.931 combined. Bland-Altman bias was -451.4 cm(3) with 95% limits of agreement of 149.8 to -1052.6 cm(3). The DXA-measured VF showed a better correlation with CT-measured VF volume than common indices for adiposity, including the body mass index and waist circumference. There was a lesser discrepancy ratio between DXA- and CT-measured VF with an increase of VF volume. DXA, a relatively convenient, inexpensive, and safe method with minimum radiation dosage, can be a reliable technique for VF assessment in the Asian population.
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Affiliation(s)
- Yong Jun Choi
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, South Korea
| | - Young Kyun Seo
- Department of Radiology, Ajou University School of Medicine, Suwon, South Korea
| | - Eun Ju Lee
- Department of Radiology, Ajou University School of Medicine, Suwon, South Korea
| | - Yoon-Sok Chung
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, South Korea.
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