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"Computed Tomography"

Original Articles
Correlation between Serum Erythropoietin and Cerebral Collateral Flow in Acute Ischemic Stroke Patient
Sung Won Yun, Won Yong Kim, Jun Beom Lee
Korean J Fam Med 2023;44(1):53-57.   Published online January 19, 2023
DOI: https://doi.org/10.4082/kjfm.22.0117
Background
Erythropoietin (EPO), which is associated with anemia, exerts neuroprotective effects in ischemic stroke. In cases of stenosis or narrowing of the main cerebral blood vessel, the prognosis is favorable if collateral blood circulation is well developed in acute stroke. Several studies have investigated the relationship between EPO administration and stroke outcomes. The present study investigated the correlation between serum EPO level and cerebral collateral circulation, which could result in favorable clinical outcomes.
Methods
The study subjects were patients diagnosed with acute ischemic stroke who underwent initial brain magnetic resonance imaging between January 2020 and March 2022. Following brain computed tomography perfusion for collateral flow, serum EPO levels were measured. Collaterals were assessed according to the Mass system and divided into good collateral (GC) or poor collateral (PC) groups. Serum EPO levels were determined using a chemiluminescence immunoassay method. A correlation coefficient analysis was conducted to determine the correlation between serum EPO levels and GC. A receiver operating characteristic curve analysis determined the cutoff value of EPO for GC.
Results
Serum EPO levels were significantly higher in the GC than that in the PC group (P<0.05). The cut-off level of serum EPO for a good outcome was 9.1 mIU/mL.
Conclusion
A high serum EPO (>9.1 mIU/mL) could be a marker of GC in patients with acute ischemic stroke that predicts good clinical outcomes.

Citations

Citations to this article as recorded by  
  • Reinforcement of Transdural Angiogenesis: A Novel Approach to Treating Ischemic Stroke With Cerebral Perfusion Impairment
    Ji Man Hong, Hee Sun Shin
    Journal of Stroke.2025; 27(1): 30.     CrossRef
  • Dexmedetomidine Promotes Angiogenesis After Ischemic Stroke Through the NRF2/HO-1/VEGF Pathway
    Zhenxing Tao, Pengpeng Li, Yushi Tang, Wenhui Yang, Yilu Li, Jieqiong Yang, Jiajia Tian, Yating Zhang, Yan Zou, Bai Xu, Xudong Zhao
    Neurochemical Research.2025;[Epub]     CrossRef
  • Albumin levels and cerebral collateral circulation in patients with acute ischemic stroke due to intracranial arteriosclerotic: A propensity score-matched analysis
    Le Wang, Qiang Shi, Yi-dong Xue, Chan Cao, Ying-Ying Zheng
    Medicine.2024; 103(21): e38254.     CrossRef
  • 4,013 View
  • 69 Download
  • 3 Web of Science
  • 3 Crossref
Relationship between Smoking and Abdominal Aorta Calcification on Computed Tomography
Jin-Gyu Jung, Li-Tzy Wu, Jong-Sung Kim, Eung-Du Kim, Seok-Joon Yoon
Korean J Fam Med 2019;40(4):248-253.   Published online January 4, 2019
DOI: https://doi.org/10.4082/kjfm.17.0098
Background
Cigarette smoking increases the risk of atherosclerosis, which often develops as vascular calcification on radiologic examinations. This study evaluated the relationship between smoking-related factors and incidental abdominal aorta calcification (AAC) detected by computed tomography (CT) among middle-aged and elderly men.
Methods
We assessed the abdominal CT findings of 218 men aged 40 to 81 years who underwent health checkups. The associations between smoking factors and AAC were analyzed using logistic regression analysis to adjust for confounding variables such as age, lifestyle factors, and chronic diseases.
Results
Adjusting for confounding variables, the risk of AAC was significantly increased in association with smoking for at least 20 years (adjusted odds ratio [AOR], 5.22; 95% confidence interval [CI], 1.82–14.93), smoking 10+ pack-years (10–20 pack-years: AOR, 4.54; 95% CI, 1.07–5.68; >20 pack-years: AOR, 5.28; 95% CI, 2.10–13.31), and a history of smoking (former smoker: AOR, 2.10; 95% CI, 1.07–5.68; current smoker: AOR, 5.05; 95% CI, 2.08–12.26). In terms of the daily smoking amount, even a low smoking level increased the risk of AAC.
Conclusion
These findings suggest that smoking for 20+ years, smoking 10+ pack-years, and even a low level of smoking daily increases the likelihood of developing AAC. Clinicians should recommend that patients quit smoking and stress the importance of smoking duration when promoting health in middle-aged and elderly patients.

Citations

Citations to this article as recorded by  
  • Association of Smoking and Alcohol with Abdominal Aortic Calcification in the General Middle-Aged and Elderly Populations
    Yinze Ji, Naqiang Lv, Aimin Dang
    Reviews in Cardiovascular Medicine.2025;[Epub]     CrossRef
  • Vascular calcification in kidney stone formers: the impact of age and stone composition
    Alon Bnaya, Ilan Z Kafka, Hezi Barhoum, Linda Shavit
    Urolithiasis.2024;[Epub]     CrossRef
  • Association of Life's Essential 8 with abdominal aortic calcification and mortality among middle‐aged and older individuals
    Gehui Ni, Qinfeng Jia, Ying Li, Iokfai Cheang, Xu Zhu, Haifeng Zhang, Xinli Li
    Diabetes, Obesity and Metabolism.2024; 26(11): 5126.     CrossRef
  • Can smoking cause impotence? a radiological retrospective cohort study comparing internal pudendal artery calcification on CT in male smokers versus non-smokers
    Emma Tong, Caoimhe McDonnell, Kate Hunter, Kevin Sheahan, William C. Torreggiani
    Irish Journal of Medical Science (1971 -).2023; 192(1): 377.     CrossRef
  • Imaging Early Life Cardiovascular Phenotype
    Vinithra Varadarajan, Samuel S. Gidding, Colin Wu, J. Jeffrey Carr, Joao A.C. Lima
    Circulation Research.2023; 132(12): 1607.     CrossRef
  • Nicotine promotes vascular calcification via intracellular Ca2+-mediated, Nox5-induced oxidative stress, and extracellular vesicle release in vascular smooth muscle cells
    Ploingarm Petsophonsakul, Mathias Burgmaier, Brecht Willems, Sylvia Heeneman, Nadina Stadler, Felix Gremse, Sebastian Reith, Kathrin Burgmaier, Florian Kahles, Nikolaus Marx, Ehsan Natour, Elham Bidar, Michael Jacobs, Barend Mees, Chris Reutelingsperger,
    Cardiovascular Research.2022; 118(9): 2196.     CrossRef
  • Calcified Abdominal aortic occlusion: Treatment using Intravascular Lithotripsy
    Pratik Shah, Vimal Someshwar, Krishna Mundada, Abhijit Raut
    Journal of Clinical Interventional Radiology ISVIR.2022; 06(02): 141.     CrossRef
  • Relationship between blood cadmium and abdominal aortic calcification: NHANES 2013–2014
    Nuozhou Liu, Ying Feng, Yuejuan Zhan, Fang Ma
    Journal of Trace Elements in Medicine and Biology.2022; 72: 126975.     CrossRef
  • Prevalence and Predictors of Abdominal Aorta Calcification in Patients With Psoriasis—A Case Control Study
    Sofia Ramos, Sheetal Daya, Nigel J. Crowther, Lushen Pillay, Mohammed Tikly, Nasrin Goolam Mahyoodeen
    Frontiers in Medicine.2022;[Epub]     CrossRef
  • Association between body mass index and fragility fracture in postmenopausal women: a cross-sectional study using Korean National Health and Nutrition Examination Survey 2008–2009 (KNHANES IV)
    Jihan Kim, Sami Lee, Sung Soo Kim, Jong-Pyo Lee, Jong Sung Kim, Jin Gyu Jung, Seok Jun Yoon, Kyu Pil Kim, Chan-Keol Park, Yong-Hwan Kim
    BMC Women's Health.2021;[Epub]     CrossRef
  • Modified effect of active or passive smoking on the association between age and abdominal aortic calcification: a nationally representative cross-sectional study
    Luyan Lv, Shixian Wu, Yungui Yang, Xiongli Yue
    BMJ Open.2021; 11(10): e047645.     CrossRef
  • Association Between Serum Cotinine and Severe Abdominal Aortic Calcification in US Adults
    Xiaoxiao Wen, Yanjie Xia, Min Guo, Liancheng Zhao, Long Zhou
    Angiology.2020; 71(4): 333.     CrossRef
  • Role of Advanced Glycation End Products on Aortic Calcification in Patients with Type 2 Diabetes Mellitus
    Pilar Sanchis, Rosmeri Rivera, Regina Fortuny, Carlos Río, Miguel Mas-Gelabert, Marta Gonzalez-Freire, Felix Grases, Luis Masmiquel
    Journal of Clinical Medicine.2020; 9(6): 1751.     CrossRef
  • 6,450 View
  • 91 Download
  • 12 Web of Science
  • 13 Crossref
Background

We studied the association between the triglyceride to high-density lipoprotein cholesterol ratio and computed tomography-measured visceral fat as well as cardiovascular risk factors among Korean male adults.

Methods

We measured triglycerides, high density lipoprotein cholesterol, body mass, waist circumference, fasting plasma glucose, hemoglobin A1c, systolic blood pressure, diastolic blood pressure, visceral fat, and subcutaneous fat among 372 Korean men. The visceral fat and subcutaneous fat areas were measured by computed tomography using a single computed tomography slice at the L4-5 lumbar level. We analyzed the association between the triglyceride to high density lipoprotein cholesterol ratio and visceral fat as well as cardiovascular risk factors.

Results

A positive correlation was found between the triglyceride to high density lipoprotein cholesterol ratio and variables such as body mass index, waist circumference, fasting plasma glucose, hemoglobin A1c, visceral fat, and the visceral-subcutaneous fat ratio. However, there was no significant correlation between the triglyceride to high density lipoprotein cholesterol ratio and subcutaneous fat or blood pressure. Multiple logistic regression analyses revealed significant associations between a triglyceride to high density lipoprotein cholesterol ratio ≥3 and diabetes, a body mass index ≥25 kg/m2, a waist circumference ≥90 cm, and a visceral fat area ≥100 cm2. The triglyceride to high density lipoprotein cholesterol ratio was not significantly associated with hypertension.

Conclusion

There were significant associations between the triglyceride to high density lipoprotein cholesterol ratio and body mass, waist circumference, diabetes, and visceral fat among a clinical sample of Korean men. In the clinical setting, the triglyceride to high density lipoprotein cholesterol ratio may be a simple and useful indicator for visceral obesity and cardiovascular disease.

Citations

Citations to this article as recorded by  
  • The impact of serum testosterone level to reflect age-related multi-organ functions
    Tomoya Shirakawa, Julius Fink, Zen-u Hotta, Yosuke Shimada, Yan Lu, Junhua Du, Kazuhito Matsushita, Satoshi Hori, Hisamitsu Ide, Shigeo Horie
    Endocrine Journal.2024; 71(3): 265.     CrossRef
  • Visceral Fat Area and Subcutaneous Fat Area Increase in Hyperthyroidism Patients After Treatment—A Single-Group Repeated-Measures Trial
    Mengnan Li, Xifeng Yang, Ru Li, Baofeng Wu, Jinxuan Hao, Yijie Qi, Tao Bai, Luyang Yang, Yi Zhang, Yunfeng Liu
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 2165.     CrossRef
  • Prognostic nomograms integrating preoperative serum lipid derivative and systemic inflammatory marker of patients with non-metastatic colorectal cancer undergoing curative resection
    Dimei Huang, Shaochu Zheng, Fang Huang, Jingyu Chen, Yuexiang Zhang, Yusha Chen, Bixun Li
    Frontiers in Oncology.2023;[Epub]     CrossRef
  • Is non-high-density lipoprotein associated with metabolic syndrome? A systematic review and meta-analysis
    Parham Mardi, Fatemeh Abdi, Amir Ehsani, Ehsan Seif, Shirin Djalalinia, Javad Heshmati, Ehsan Shahrestanaki, Armita Mahdavi Gorabi, Mostafa Qorbani
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Factors associated with hypertriglyceridemia among the hill tribe people aged 30 years and over, Thailand: a cross-sectional study
    Panupong Upala, Tawatchai Apidechkul, Chanyanut Wongfu, Siriyaporn Khunthason, Niwed Kullawong, Vivat Keawdounglek, Chalitar Chomchoei, Fartima Yeemard, Ratipark Tamornpark
    BMC Public Health.2021;[Epub]     CrossRef
  • Independent association between the visceral adiposity index and microalbuminuria in patients with newly diagnosed type 2 diabetes
    Jia Wen, Hong Yuan
    Diabetes/Metabolism Research and Reviews.2020;[Epub]     CrossRef
  • Triglyceride to HDL-cholesterol ratio and the incidence risk of type 2 diabetes in community dwelling adults: A longitudinal 12-year analysis of the Korean Genome and Epidemiology Study
    Tae-Kyeong Lim, Hye Sun Lee, Yong-Jae Lee
    Diabetes Research and Clinical Practice.2020; 163: 108150.     CrossRef
  • Association of triglycerides to high-density lipoprotein-cholesterol ratio with risk of incident hypertension
    Dechen Liu, Li Guan, Yang Zhao, Yu Liu, Xizhuo Sun, Honghui Li, Zhaoxia Yin, Linlin Li, Yongcheng Ren, Bingyuan Wang, Cheng Cheng, Leilei Liu, Xu Chen, Qionggui Zhou, Quanman Li, Chunmei Guo, Gang Tian, Ming Zhang, Dongsheng Hu, Jie Lu
    Hypertension Research.2020; 43(9): 948.     CrossRef
  • Visceral adiposity index is associated with increased urinary albumin excretion: A population-based study
    Kan Sun, Diaozhu Lin, Feng Li, Yiqin Qi, Wanting Feng, Meng Ren, Li Yan, Dan Liu
    Clinical Nutrition.2019; 38(3): 1332.     CrossRef
  • The correlation between triglyceride to HDL cholesterol ratio and metabolic syndrome, nutrition intake in Korean adults: Korean National Health and Nutrition Examination Survey 2016
    Youngjon Kim, A Lum Han
    Journal of Nutrition and Health.2019; 52(3): 268.     CrossRef
  • An in-depth prognostic analysis of baseline blood lipids in predicting postoperative colorectal cancer mortality: The FIESTA study
    Feng Peng, Dan Hu, Xiandong Lin, Gang Chen, Binying Liang, Ying Chen, Chao Li, Hejun Zhang, Yan Xia, Jinxiu Lin, Xiongwei Zheng, Wenquan Niu
    Cancer Epidemiology.2018; 52: 148.     CrossRef
  • Prediction of three lipid derivatives for postoperative gastric cancer mortality: the Fujian prospective investigation of cancer (FIESTA) study
    Dan Hu, Feng Peng, Xiandong Lin, Gang Chen, Binying Liang, Ying Chen, Chao Li, Hejun Zhang, Guohui Fan, Guodong Xu, Yan Xia, Jinxiu Lin, Xiongwei Zheng, Wenquan Niu
    BMC Cancer.2018;[Epub]     CrossRef
  • Risk for metabolic diseases in normal weight individuals with visceral fat accumulation: a cross-sectional study in Japan
    Yukako Tatsumi, Yoko M Nakao, Izuru Masuda, Aya Higashiyama, Misa Takegami, Kunihiro Nishimura, Makoto Watanabe, Takayoshi Ohkubo, Tomonori Okamura, Yoshihiro Miyamoto
    BMJ Open.2017; 7(1): e013831.     CrossRef
  • ‘Life in the age of screens’: parent perspectives on a 24‐h no screen‐time challenge
    Sandra Peláez, Stephanie Alexander, Jean‐Baptiste Roberge, Melanie Henderson, Jean‐Luc Bigras, Tracie A. Barnett
    Clinical Obesity.2016; 6(4): 273.     CrossRef
  • Pereskia aculeata Miller Flour: Metabolic Effects and Composition
    Sandra Maria Barbalho, Élen Landgraf Guiguer, Paulo Sérgio Marinelli, Patrícia Cincotto do Santos Bueno, Leticia Maria Pescinini-Salzedas, Mirele Cristine Batista dos Santos, Marie Oshiiwa, Claudemir Gregório Mendes, Manoel Lima de Menezes, Cláudia Cristi
    Journal of Medicinal Food.2016; 19(9): 890.     CrossRef
  • Effects of 8-Year Treatment of Long-Acting Testosterone Undecanoate on Metabolic Parameters, Urinary Symptoms, Bone Mineral Density, and Sexual Function in Men with Late-Onset Hypogonadism
    Sompol Permpongkosol, Kalayanee Khupulsup, Supatra Leelaphiwat, Sarawan Pavavattananusorn, Supranee Thongpradit, Thanom Petchthong
    The Journal of Sexual Medicine.2016; 13(8): 1199.     CrossRef
  • 5,511 View
  • 45 Download
  • 16 Web of Science
  • 16 Crossref
The Role of Mean Platelet Volume as a Predicting Factor of Asymptomatic Coronary Artery Disease.
Hyun Ah Chang, Hwan Sik Hwang, Hoon Ki Park, Min Young Chun, Ja Young Sung
Korean J Fam Med 2010;31(8):600-606.   Published online August 20, 2010
DOI: https://doi.org/10.4082/kjfm.2010.31.8.600
Background
Platelet has been known as an implicating factor in the pathophysiology of atherosclerotic disease. Larger platelets are more reactive and produce more prothrombotic factors. Several studies have shown relationship between mean platelet volume (MPV) and coronary artery disease. The present study has been designed to investigate association of MPV and subclinical CAD (coronary artery disease; abnormal finding in coronary multidetector computed tomo-graphy [MDCT] in asymptomatic individual). Methods: This cross sectional study was carried out in 103 men and 72 women (over 40 years old) who underwent coronary MDCT as screening test for disease prevention in the health examination center of Hanyang University Medical Center in Korea from January 1 to April 30, 2009. Subclinical CAD was defined when either of the following findings are present in asymptomatic patients: 1) plaque or calcification, 2) stenosis of any level. After adjustment for age, gender, hypertension, diabetes, BMI, smoking (pack-years), LDL cholesterol, odds ratios (ORs) for the prevalence of the subclinical CAD were calculated for quintiles of MPV using logistic regression analysis. Results: After adjustment for age, gender, hypertension, diabetes, BMI, smoking (pack-years), LDL cholesterol, the OR for subclinical CAD, comparing the fifth quintile of MPV with the first quintile, was 5.83 (95% confidence interval, 1.51 to 22.42; P = 0.010). Conclusion: Highest level of MPV is independently associated with the prevalence of the subclinical CAD after adjusting for other risk factors.

Citations

Citations to this article as recorded by  
  • Association of mean platelet volume-to-platelet count ratio for 24-hour mortality in patients with severe trauma
    Seokjin Ryu, Donghun Lee, Jiho Lee, Byungkook Lee
    Medicine.2025; 104(35): e44165.     CrossRef
  • A Study of the Mean Platelet Volume and Plasma Fibrinogen in Type Two Diabetes Mellitus Patients Versus Healthy Controls and Their Role as Early Markers of Diabetic Microvascular Complications
    Sindhuri Goud Nimmala, Vijayashree S Gokhale, Ponvijaya Yadav, Sangram Mangudkar, Satbir Malik
    Cureus.2024;[Epub]     CrossRef
  • Predictive Effects of Platelet Indices in Cirrhotic Patients with or without Portal Vein Thrombosis
    Filiz Araz, Barış Soydaş
    European Journal of Therapeutics.2023; 29(4): 838.     CrossRef
  • Relation Between Oxidative Stress and Hematologic Abnormalities in Children With Type 1 Diabetes
    Adel Abdel-Moneim, Mohamed I. Zanaty, Amr El-Sayed, Rehab G. Khalil, Hanan Abdel Rahman
    Canadian Journal of Diabetes.2020; 44(3): 222.     CrossRef
  • Mean Platelet Volume as a Marker of Vasculogenic Erectile Dysfunction and Future Cardiovascular Risk
    Andrea Crafa, Rosita A. Condorelli, Laura M. Mongioì, Rossella Cannarella, Federica Barbagallo, Antonio Aversa, Giulia Izzo, Anna Perri, Aldo E. Calogero, Sandro La Vignera
    Journal of Clinical Medicine.2020; 9(8): 2513.     CrossRef
  • Simple hematological parameters before detailed glycemic investigations: An easy approach for pre-assessment of diabetic complications in Indian scenario
    Manoj Saluja, Yogesh Kumar Swami, Saurabh Chittora, Hemant Vimlani
    Current Medicine Research and Practice.2019; 9(3): 89.     CrossRef
  • A Study of Platelet Indices in Type 2 Diabetes Mellitus Patients
    Kumari Shilpi, R. M. Potekar
    Indian Journal of Hematology and Blood Transfusion.2018; 34(1): 115.     CrossRef
  • Platelet function in diabetic and nondiabetic patients with chronic obstructive pulmonary disease: a case control study
    Hoda Ahmed Makhlouf, Samiaa Hamdy Sadek, Asmaa Abdel Hakim Nafady
    The Clinical Respiratory Journal.2018; 12(1): 48.     CrossRef
  • Can mean platelet volume levels of trauma patients predict severity of trauma?
    Sadiye Yolcu, Gokben N. Beceren, Önder Tomruk, Duygu Kumbul Doguç, Ozlem Balbaloglu
    Platelets.2014; 25(4): 279.     CrossRef
  • Mean platelet volume and coronary artery disease: a systematic review and meta-analysis
    Nakarin Sansanayudh, Thunyarat Anothaisintawee, Dittaphol Muntham, Mark McEvoy, John Attia, AmmarinThakkinstian
    International Journal of Cardiology.2014; 175(3): 433.     CrossRef
  • Evaluation of mean platelet volume (MPV) levels in patients with synovitis associated with knee osteoarthritis
    Ozlem Balbaloglu, Murat Korkmaz, Sadiye Yolcu, Fatih Karaaslan, N. Gökben Çetin Beceren
    Platelets.2014; 25(2): 81.     CrossRef
  • Lack of association of the mean platelet volume with plasma lipids in a general population of unselected outpatients
    Giuseppe Lippi, Elisa Danese, Camilla Mattiuzzi, Martina Montagnana
    La Rivista Italiana della Medicina di Laboratorio - Italian Journal of Laboratory Medicine.2014; 10(2): 97.     CrossRef
  • Effects of Glucose Control on Hematological Indices in Patients with Diabetes Mellitus
    Ceyhun Varım, Tezcan Kaya, Ahmet Nalbant, Ayşenur Uçar, Ali Tamer
    Open Access Macedonian Journal of Medical Sciences.2014; 2(1): 83.     CrossRef
  • Normal range of mean platelet volume in healthy subjects: Insight from a large epidemiologic study
    Hilmi Demirin, Hakan Ozhan, Taner Ucgun, Ahmet Celer, Sule Bulur, Habip Cil, Cemalettin Gunes, Hayriye Ak Yildirim
    Thrombosis Research.2011; 128(4): 358.     CrossRef
  • 2,913 View
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  • 14 Crossref
The Accuracy of the Assessment of Visceral Obesity by InBody 4.0 and Waist Circumference.
Hee Seon Jeon, Jee Hyun Kang, Sun Kyoung Kim, Byung Yeon Yu
J Korean Acad Fam Med 2006;27(11):904-910.   Published online November 10, 2006
Background
: InBody 4.0, a bioelectrical impedance analyser (BIA) has an automatic function of printing out the measurement data of visceral fat area. The purpose of this study was to assess the usefulness of the visceral obesity measured by the InBody 4.0 and the waist circumference

Methods : A total of 124 participants who visited an obesity clinic in a university hospital were measured their waist circumference, height, weight and the visceral fat area by the InBody 4.0 and CT scan. The mean difference and agreement between the two visceral fat areas by the two methods had been analyzed according to sex, age and BMI groups. The accuracy of the visceral obesity by the BIA and the waist circumference was respectively compared with the visceral obesity by the CT scan.

Results : There was no significant difference between visceral fat area measured by the CT and the BIA in women participants under 46 years of age and below BMI 30. When comparing visceral fat area obtained from the CT with those obtained from the BIA, the 95% confidence interval for the limit agreement was higher in male subjects than in females. The waist circumference was the more sensitive method to diagnose visceral obesity than the BIA (91.80% vs. 77.94%), but the BIA method showed a higher specificity than the waist circumference (76.79% vs 52.38%).

Conclusion : Waist circumference turned out to be more useful than the BIA as a screening tool for visceral obesity. In the group of males, BMI of over 30, or the age over 46 years, it is recommended that the CT rather than the BIA for measurement of visceral fat area be utiliged.
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