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Lu Y, Shan Y, Dai L, Jiang X, Song C, Chen B, Zhang J, Li J, Zhang Y, Xu J, Li T, Xiong Z, Bai Y, Huang X. Sex-specific equations to estimate body composition: Derivation and validation of diagnostic prediction models using UK Biobank. Clin Nutr 2023; 42:511-518. [PMID: 36857960 DOI: 10.1016/j.clnu.2023.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 01/21/2023] [Accepted: 02/09/2023] [Indexed: 02/18/2023]
Abstract
BACKGROUND & AIMS Body mass index and waist circumference are simple measures of obesity. However, they do not distinguish between visceral and subcutaneous fat, or muscle, potentially leading to biased relationships between individual body composition parameters and adverse health outcomes. The purpose of this study was to develop and validate prediction models for volumetric adipose and muscle. METHODS Based on cross-sectional data of 18,457, 18,260, and 17,052 White adults from the UK Biobank, we developed sex-specific equations to estimate visceral adipose tissue (VAT), abdominal subcutaneous adipose tissue (ASAT), and total thigh fat-free muscle (FFM) volumes, respectively. Volumetric magnetic resonance imaging served as the reference. We used the least absolute shrinkage and selection operator and the extreme gradient boosting methods separately to fit three sequential models, the inputs of which included demographics and anthropometrics and, in some, bioelectrical impedance analysis parameters. We applied comprehensive metrics to assess model performance in the temporal validation set. RESULTS The equations that included more predictors generally performed better. Accuracy of the equations was moderate for VAT (percentage of estimates that differed <30% from the measured values, 70 to 78 in males, 64 to 69 in females) and good for ASAT (85 to 91 in males, 90 to 95 in females) and FFM (99 to 100 in both sexes). All the equations appeared precise (interquartile range of the difference, 0.89 to 1.76 L for VAT, 1.16 to 1.61 L for ASAT, 0.81 to 1.39 L for FFM). Bias of all the equations was negligible (-0.17 to 0.05 L for VAT, -0.10 to 0.12 L for ASAT, -0.07 to 0.09 L for FFM). The equations achieved superior cardiometabolic correlations compared with body mass index and waist circumference. CONCLUSIONS The developed equations to estimate VAT, ASAT, and FFM volumes achieved moderate to good performance. They may be cost-effective tools to revisit the implications of diverse body components.
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Affiliation(s)
| | - Ying Shan
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Liang Dai
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | | | - Congying Song
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Bangwei Chen
- BGI-Shenzhen, Shenzhen, China; School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Jingwen Zhang
- Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Jing Li
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, China; Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Yue Zhang
- Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Junjie Xu
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Tao Li
- BGI-Shenzhen, Shenzhen, China
| | - Zuying Xiong
- Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | | | - Xiaoyan Huang
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, China; Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, China.
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Ungerman E, Khoche S, Subramani S, Bartels S, Fritz AV, Martin AK, Subramanian H, Devarajan J, Knight J, Boisen ML, Gelzinis TA. The Year in Cardiothoracic Transplantation Anesthesia: Selected Highlights from 2019. J Cardiothorac Vasc Anesth 2020; 34:2889-2905. [PMID: 32782193 DOI: 10.1053/j.jvca.2020.06.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 06/08/2020] [Indexed: 11/11/2022]
Abstract
The highlights in cardiothoracic transplantation focus on the recent research pertaining to heart and lung transplantation, including expansion of the donor pool, the optimization of donors and recipients, the use of mechanical support, the perioperative and long-term outcomes in these patient populations, and the use of transthoracic echocardiography to diagnose rejection.
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Affiliation(s)
- Elizabeth Ungerman
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Swapnil Khoche
- Department of Anesthesiology, University of California San Diego, San Diego, CA
| | - Sudhakar Subramani
- Department of Anesthesiology, University of Iowa Hospitals and Clinics, Iowa City, IA
| | - Steven Bartels
- Anesthesiology Institute, Cleveland Clinic, Cleveland, OH
| | - Ashley Virginia Fritz
- Division of Cardiovascular and Thoracic Anesthesiology, Mayo Clinic Florida, Jacksonville, FL
| | - Archer Kilbourne Martin
- Division of Cardiovascular and Thoracic Anesthesiology, Mayo Clinic Florida, Jacksonville, FL
| | - Harikesh Subramanian
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA
| | | | - Joshua Knight
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Michael L Boisen
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Theresa A Gelzinis
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA.
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Yoo S, Sung MW, Kim H. CT-defined visceral adipose tissue thresholds for identifying metabolic complications: a cross-sectional study in the United Arab Emirates. BMJ Open 2020; 10:e031181. [PMID: 32788183 PMCID: PMC7422653 DOI: 10.1136/bmjopen-2019-031181] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVES Visceral adipose tissue (VAT) is closely related to obesity complications. We aimed to determine the optimal sex-specific and age-specific VAT thresholds for predicting metabolic complications among individuals living in the United Arab Emirates (UAE). DESIGN Retrospective cross-sectional study. SETTING We reviewed medical records of adults who visited a hospital in the UAE. PARTICIPANTS A total of 369 subjects were included in the final analysis after application of inclusion and exclusion criteria. PRIMARY OUTCOME MEASURES The prevalence of metabolic syndrome (MES). RESULTS MES measures excluding waist circumference were present in 73.4% of women and 78.5% of men. VAT areas adjusted for age were significantly greater in the MES group compared with the non-MES group regardless of sex (p<0.05 for all relations); however, subcutaneous adipose tissue areas adjusted for age were not significantly different. Areas under the curve used to predict MES were statistically significant for VAT and visceral to subcutaneous fat ratios among both men and women. Identified cut-off values of VAT to predict MES were 132.0 cm2 in both sexes for individuals under the age of 50 years. For those over 50 years of age, VAT thresholds were greater in women compared with men (173 cm2 vs 124.3 cm2, respectively). CONCLUSIONS Optimal VAT cut-offs to predict MES were 132 cm2 for individuals under 50 years old living in the UAE. These measures are potential target visceral fat values that could be used to reduce obesity-related morbidity in populations with pre-existing metabolic complications.
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Affiliation(s)
- Sunmi Yoo
- Department of Family Medicine, Inje University Haeundae Paik Hospital, Busan, The Republic of Korea
| | - Myung-Whun Sung
- Department of Otorhinolaryngology Head and Neck Surgery, Seoul National University College of Medicine, Seoul, The Republic of Korea
- Department of ENT, Sheikh Khalifa Specialty Hospital, Ras Al Khaimah, United Arab Emirates
| | - Hongdae Kim
- Department of Imaging and Laboratory, Sheikh Khalifa Specialty Hospital, Ras Al Khaimah, United Arab Emirates
- Department of Radiology, Ulsan University Hospital, Ulsan, The Republic of Korea
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4
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Anderson MR, Udupa JK, Edwin E, Diamond JM, Singer JP, Kukreja J, Hays SR, Greenland JR, Ferrante A, Lippel M, Blue T, McBurnie A, Oyster M, Kalman L, Rushefski M, Wu C, Pednekar G, Liu W, Arcasoy S, Sonett J, D'Ovidio F, Bacchetta M, Newell JD, Torigian D, Cantu E, Farber DL, Giles JT, Tong Y, Palmer S, Ware LB, Hancock WW, Christie JD, Lederer DJ. Adipose tissue quantification and primary graft dysfunction after lung transplantation: The Lung Transplant Body Composition study. J Heart Lung Transplant 2019; 38:1246-1256. [PMID: 31474492 PMCID: PMC6883162 DOI: 10.1016/j.healun.2019.08.013] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 07/30/2019] [Accepted: 08/05/2019] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Obesity is associated with an increased risk of primary graft dysfunction (PGD) after lung transplantation. The contribution of specific adipose tissue depots is unknown. METHODS We performed a prospective cohort study of adult lung transplant recipients at 4 U.S. transplant centers. We measured cross-sectional areas of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) on chest and abdominal computed tomography (CT) scans and indexed each measurement to height.2 We used logistic regression to examine the associations of adipose indices and adipose classes with grade 3 PGD at 48 or 72 hours, and Cox proportional hazards models to examine survival. We used latent class analyses to identify the patterns of adipose distribution. We examined the associations of adipose indices with plasma biomarkers of obesity and PGD. RESULTS A total of 262 and 117 subjects had available chest CT scans and underwent protocol abdominal CT scans, respectively. In the adjusted models, a greater abdominal SAT index was associated with an increased risk of PGD (odds ratio 1.9, 95% CI 1.02-3.4, p = 0.04) but not with survival time. VAT indices were not associated with PGD risk or survival time. A greater abdominal SAT index correlated with greater pre- and post-transplant leptin (r = 0.61, p < 0.001, and r = 0.44, p < 0.001), pre-transplant IL-1RA (r = 0.25, p = 0.04), and post-transplant ICAM-1 (r = 0.25, p = 0.04). We identified 3 latent patterns of adiposity. The class defined by high thoracic and abdominal SAT had the greatest risk of PGD. CONCLUSIONS Subcutaneous, but not visceral, adiposity is associated with an increased risk of PGD after lung transplantation.
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Affiliation(s)
- Michaela R Anderson
- Department of Medicine, Columbia University Medical Center, New York, New York
| | - Jayaram K Udupa
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Ethan Edwin
- Columbia Institute of Human Nutrition, Columbia University Medical Center, New York, New York
| | - Joshua M Diamond
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jonathan P Singer
- Department of Medicine University of California at San Francisco, San Francisco, California
| | - Jasleen Kukreja
- Department of Surgery, University of California at San Francisco, San Francisco, California
| | - Steven R Hays
- Department of Medicine University of California at San Francisco, San Francisco, California
| | - John R Greenland
- Department of Medicine University of California at San Francisco, San Francisco, California
| | - Anthony Ferrante
- Columbia Institute of Human Nutrition, Columbia University Medical Center, New York, New York
| | - Matthew Lippel
- Department of Medicine, Columbia University Medical Center, New York, New York
| | - Tatiana Blue
- Department of Medicine, Columbia University Medical Center, New York, New York
| | - Amika McBurnie
- Department of Medicine, Columbia University Medical Center, New York, New York
| | - Michelle Oyster
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Laurel Kalman
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Melanie Rushefski
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Caiyun Wu
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Gargi Pednekar
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Wen Liu
- Department of Medicine, Columbia University Medical Center, New York, New York
| | - Selim Arcasoy
- Department of Medicine, Columbia University Medical Center, New York, New York
| | - Joshua Sonett
- Department of Surgery, Columbia University Medical Center, New York, New York
| | - Frank D'Ovidio
- Department of Surgery, Columbia University Medical Center, New York, New York
| | - Matthew Bacchetta
- Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - John D Newell
- Department of Radiology, University of Iowa, Iowa City, Iowa
| | - Drew Torigian
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Edward Cantu
- Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Donna L Farber
- Department of Surgery, University of California at San Francisco, San Francisco, California; Columbia Center for Translational Immunology, Columbia University Medical Center, New York, New York; Department of Microbiology and Immunology, Columbia University Medical Center, New York, New York
| | - Jon T Giles
- Department of Medicine, Columbia University Medical Center, New York, New York
| | - Yubing Tong
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Scott Palmer
- Department of Medicine, Duke University & Duke Clinical Research Institute, Durham, North Carolina
| | - Lorraine B Ware
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Wayne W Hancock
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jason D Christie
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - David J Lederer
- Department of Medicine, Columbia University Medical Center, New York, New York; Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, New York.
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Association of longitudinal risk profile trajectory clusters with adipose tissue depots measured by magnetic resonance imaging. Sci Rep 2019; 9:16972. [PMID: 31740739 PMCID: PMC6861315 DOI: 10.1038/s41598-019-53546-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 10/31/2019] [Indexed: 12/20/2022] Open
Abstract
The objective of the study was to identify associations of longitudinal trajectories of traditional cardiometabolic risk factors with abdominal and ectopic adipose tissue depots measured by magnetic resonance imaging (MRI). We measured total abdominal, visceral, and subcutaneous adipose tissue in liter and intrahepatic, intrapancreatic and renal sinus fat as fat fractions by MRI in 325 individuals free of cardiovascular disease at Exam 3 of a population-based cohort. We related these MRI measurements at Exam 3 to longitudinal risk profile trajectory clusters, based on risk factor measurements from Exam 3, Exam 2 (seven years prior to MRI) and Exam 1 (14 years prior to MRI). Based on the levels and longitudinal trajectories of several risk factors (blood pressure, lipid profile, anthropometric measurements, HbA1c), we identified three different trajectory clusters. These clusters displayed a graded association with all adipose tissue traits after adjustment for potential confounders (e.g. visceral adipose tissue: βClusterII = 1.30 l, 95%-CI:[0.84 l;1.75 l], βClusterIII = 3.32 l[2.74 l;3.90 l]; intrahepatic: EstimateClusterII = 1.54[1.27,1.86], EstimateClusterIII = 2.48[1.93,3.16]. Associations remained statistically significant after additional adjustment for the risk factor levels at Exam 1 or Exam 3, respectively. Trajectory clusters provided additional information in explaining variation in the different fat compartments beyond risk factor profiles obtained at individual exams. In conclusion, sustained high risk factor levels and unfavorable trajectories are associated with high levels of adipose tissue; however, the association with cardiometabolic risk factors varies substantially between different ectopic adipose tissues. Trajectory clusters, covering longitudinal risk profiles, provide additional information beyond single-point risk profiles. This emphasizes the need to incorporate longitudinal information in cardiometabolic risk estimation.
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Bianchi VE, Locatelli V. Testosterone a key factor in gender related metabolic syndrome. Obes Rev 2018; 19:557-575. [PMID: 29356299 DOI: 10.1111/obr.12633] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Accepted: 09/21/2017] [Indexed: 12/15/2022]
Abstract
Metabolic syndrome (MetS) is highly correlated with cardiovascular diseases. Although an excess of body fat is a determinant factor for MetS development, a reduced level of testosterone plays a fundamental role in its regulation. Low testosterone level is highly related to insulin resistance, visceral obesity and MetS. We have searched in Pubmed clinical trial with the password: testosterone and insulin resistance, and testosterone and MetS. We found 19 studies on the correlation between testosterone level with insulin resistance and 18 on the effect of testosterone therapy on MetS. A high correlation between low testosterone and insulin resistance has been found in men, but not in women. Testosterone administration in hypogonadal men improved MetS and reduced the mortality risk. Androgen and oestrogen receptors are expressed in adipocytes, muscle and liver tissue, and their activation is necessary to improve metabolic control. Normalization of testosterone level should be the primary treatment in men, along with caloric restriction and physical exercise. These findings come mainly from correlative data, and there remains a need for randomized trials to strengthen this evidence. This review will consider the effects of testosterone on the regulation and development of MetS in men and women.
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Affiliation(s)
- V E Bianchi
- Nutrition and Metabolism, Clinical Center Stella Maris, Falciano, San Marino
| | - V Locatelli
- Medicine and Surgery, University of Milano-Bicocca, Milano, Italy
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Berger AA, Abramowitch S, Moalli PA. 3D vascular anatomy of the presacral space: impact of age and adiposity. Int Urogynecol J 2018; 30:401-407. [PMID: 29299627 DOI: 10.1007/s00192-017-3542-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Accepted: 12/06/2017] [Indexed: 11/29/2022]
Abstract
INTRODUCTION AND HYPOTHESIS Defining patient characteristics that alter vascular anatomy at the sacrum is critical for avoiding life-threatening bleeding at the time of sacrocolpopexy. We tested the hypothesis that in thinner/older women, the bifurcations of the aorta and inferior vena cava (IVC) are lower relative to S1 resulting in less space accessible for suture/mesh placement, placing this group at increased risk of major vascular injury. METHODS In a retrospective cross-sectional study, CT scans were used to make 2D measurements and a 3D model of the aorta/IVC, intervertebral disc space, and bony anatomy using segmentation and modeling software. For analysis, Spearman's and Pearson's correlation, Student's t test and the Mann-Whitney U test were used along with multivariate analysis of variance. RESULTS Of eligible women who had undergone abdominal/pelvic CT, 107 were included. The median locations of the aortic and IVC bifurcations utilizing 2D analysis were at the inferior L4 and middle L5 vertebral body, respectively. In 10.2% of patients, the IVC was located at the L5-S1 disc space or lower; however, 3D modeling of this space which allowed assessment of the area below the S1 "drop off" showed that the amount of accessible space for suture/mesh placement was not decreased. Utilizing 2D analysis there was no statistically significant independent correlation between age or adiposity and the aortic or IVC bifurcation. Patients who were both elderly and thinner had a lower aortic bifurcation (p = 0.005) and a trend towards a lower IVC bifurcation (p = 0.082). CONCLUSIONS In 10.2% of women, the IVC bifurcation descended at or below the L5-S1 disc space, suggesting that this group of women is at increased risk of major vascular injury. Patients who were both thin and elderly had lower bifurcations, but there was no difference in accessible surface area for suture placement on 3D analysis. 3D modeling improved visualization of the anatomy beyond the S1 "drop off" and may provide a future tool for surgical planning once predictors of high-risk anatomy are defined.
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Affiliation(s)
- Alexander A Berger
- Department of Reproductive Medicine, Division of Female Pelvic Medicine and Reconstructive Surgery, UC San Diego Health System, 9500 Gilman Drive, MC 0971, La Jolla, CA, 92093-0971, USA.
| | - Steven Abramowitch
- Magee-Women's Research Institute, Department of Obstetrics and Gynecology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Pamela A Moalli
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA
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Staiano AE, Harrington DM, Johannsen NM, Newton RL, Sarzynski MA, Swift DL, Katzmarzyk PT. Uncovering physiological mechanisms for health disparities in type 2 diabetes. Ethn Dis 2015; 25:31-37. [PMID: 25812249 PMCID: PMC4378536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023] Open
Abstract
Type 2 diabetes (T2D) prevalence in the United States is significantly higher in African Americans vs Whites. Yet, the physiological mechanisms contributing to this health disparity have been poorly described. To design effective strategies to reduce this disparity, there is a need to determine whether racial differences in diabetes prevalence are attributable to modifiable or non-modifiable factors. This review synthesizes and critically evaluates the potential physiological and genetic mechanisms that may contribute to the higher susceptibility of African Americans to T2D. These mechanisms include: 1) obesity and fat distribution; 2) metabolic flexibility; 3) muscle physiology; 4) energy expenditure and fitness; and 5) genetics. We focus on the clinical significance of findings and limitations of the recent literature.
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Kim S, Kim JY, Lee DC, Lee HS, Lee JW, Jeon JY. Distribution of abdominal obesity and fitness level in overweight and obese korean adults. Int J Endocrinol 2014; 2014:854392. [PMID: 24723950 PMCID: PMC3958687 DOI: 10.1155/2014/854392] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2013] [Revised: 11/01/2013] [Accepted: 12/27/2013] [Indexed: 12/15/2022] Open
Abstract
Background. Abdominal obesity and its relative distribution are known to differ in association with metabolic characteristics and cardiorespiratory fitness. This study aimed to determine an association between fitness level and abdominal adiposity in overweight and obese adults. Methods. 228 overweight and obese individuals were classified as either cardiorespiratory unfit or fit based on their recovery heart rate. Visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), the visceral-to-subcutaneous adipose tissue ratio (VAT/SAT ratio), and cardiometabolic characteristics were analyzed to examine the relationship between recovery heart rate and abdominal adiposity components. Results. After adjustments for age and sex, significant relationships of recovery heart rate and VAT, SAT, and VAT/SAT ratio were found; however, SAT was not significantly associated after further adjustment for body mass index (BMI) (r = 0.045, P = 0.499), whereas VAT (r = 0.232, P < 0.001) and VAT/SAT ratio (r = 0.214, P = 0.001) remained associated. Through stepwise multiple regression analyses after adjustment for age, sex, BMI, lifestyle factors, mean blood pressure, fasting glucose, HOMA-IR, lipid profiles, and hsCRP, recovery heart rate was identified as an independent variable associated with VAT (β = 0.204, P < 0.001) and VAT/SAT ratio (β = 0.163, P = 0.008) but not with SAT (β = 0.097, P = 0.111). Conclusions. Cardiorespiratory fitness level is independently associated with VAT and the VAT/SAT ratio but not with SAT in overweight and obese adults.
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Affiliation(s)
- Sue Kim
- Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, 250 Seongsanno, Seodaemun-gu, Seoul 120-752, Republic of Korea
| | - Ji-Young Kim
- Department of Sport and Leisure Studies, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Republic of Korea
| | - Duk-Chul Lee
- Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, 250 Seongsanno, Seodaemun-gu, Seoul 120-752, Republic of Korea
| | - Hye-Sun Lee
- Biostatistics Collaboration Units, Department of Research Affairs, Yonsei University College of Medicine, 250 Seongsanno, Seodaemun-gu, Seoul 120-752, Republic of Korea
| | - Ji-Won Lee
- Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, 250 Seongsanno, Seodaemun-gu, Seoul 120-752, Republic of Korea
- *Ji-Won Lee: and
| | - Justin Y. Jeon
- Department of Sport and Leisure Studies, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Republic of Korea
- *Justin Y. Jeon:
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Katzmarzyk PT, Shen W, Baxter-Jones A, Bell JD, Butte NF, Demerath EW, Gilsanz V, Goran MI, Hirschler V, Hu HH, Maffeis C, Malina RM, Müller MJ, Pietrobelli A, Wells JCK. Adiposity in children and adolescents: correlates and clinical consequences of fat stored in specific body depots. Pediatr Obes 2012; 7:e42-61. [PMID: 22911903 DOI: 10.1111/j.2047-6310.2012.00073.x] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2012] [Accepted: 05/22/2012] [Indexed: 12/11/2022]
Abstract
The 2011 Pennington Biomedical Research Center's Scientific Symposium focused on adiposity in children and adolescents. The symposium was attended by 15 speakers and other invited experts. The specific objectives of the symposium were to (i) integrate the latest published and unpublished findings on the laboratory and clinical assessment of depot-specific adiposity in children and adolescents, (ii) understand the variation in depot-specific adiposity and related health outcomes associated with age, sex, maturation, ethnicity and other factors and (iii) identify opportunities for incorporating new markers of abdominal obesity into clinical practice guidelines for obesity in children and adolescents. This symposium provided an overview of important new advances in the field and identified directions for future research. The long-term goal of the symposium is to aid in the early identification of children and adolescents who are at increased health risk because of obesity and obesity-related conditions.
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Affiliation(s)
- P T Katzmarzyk
- Pennington Biomedical Research Center, Baton Rouge, LA 70808-4124, USA.
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