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      KCI등재 SCOPUS SCIE

      Differences in Abdominal Body Composition According to Glycemic Status: An Inverse Probability Treatment Weighting Analysis

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      https://www.riss.kr/link?id=A107824405

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      다국어 초록 (Multilingual Abstract)

      Background: Several studies have reported that abdominal fat and muscle changes occur in diabetic patients. However, there arefew studies about such changes among prediabetic patients. In this study, we evaluated the differences in abdominal fat and m...

      Background: Several studies have reported that abdominal fat and muscle changes occur in diabetic patients. However, there arefew studies about such changes among prediabetic patients. In this study, we evaluated the differences in abdominal fat and musclesbased on abdominopelvic computed tomography in prediabetic and diabetic subjects compared to normal subjects.
      Methods: We performed a cross-sectional study using health examination data from March 2014 to June 2019 at Ulsan UniversityHospital and classified subjects into normal, prediabetic, and diabetic groups. We analyzed the body mass index corrected area of intra-abdominal components among the three groups using inverse probability treatment weighting (IPTW) analysis.
      Results: Overall, 8,030 subjects were enrolled; 5,137 (64.0%), 2,364 (29.4%), and 529 (6.6%) subjects were included in the normal,prediabetic, and diabetic groups, respectively. After IPTW adjustment of baseline characteristics, there were significant differencesin log visceral adipose tissue index (VATI; 1.22±0.64 cm2/[kg/m2] vs. 1.30±0.63 cm2/[kg/m2] vs. 1.47±0.64 cm2/[kg/m2], P<0.001)and low-attenuation muscle index (LAMI; 1.02±0.36 cm2/[kg/m2] vs. 1.03±0.36 cm2/[kg/m2] vs. 1.09±0.36 cm2/[kg/m2],P<0.001) among the normal, prediabetic, and diabetic groups. Prediabetic subjects had higher log VATI (estimated coefficient=0.082, P<0.001), and diabetic subjects had higher log VATI (estimated coefficient=0.248, P<0.001) and LAMI (estimatedcoefficient=0.078, P<0.001) compared to normal subjects.
      Conclusion: Considering that VATI and LAMI represented visceral fat and lipid-rich skeletal muscle volumes, respectively, visceralobesity was identified in both prediabetic and diabetic subjects compared to normal subjects in this study. However, intra-muscularfat infiltration was observed in diabetic subjects only.

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      참고문헌 (Reference)

      1 Lopes HF, "Visceral adiposity syndrome" 8 : 40-, 2016

      2 Goodpaster BH, "Thigh adipose tissue distribution is associated with insulin resistance in obesity and in type 2 diabetes mellitus" 71 : 885-892, 2000

      3 Abdullah A, "The magnitude of association between overweight and obesity and the risk of diabetes : a meta-analysis of prospective cohort studies" 89 : 309-319, 2010

      4 Studenski SA, "The FNIH sarcopenia project: rationale, study description, conference recommendations, and final estimates" 69 : 547-558, 2014

      5 Wajchenberg BL, "Subcutaneous and visceral adipose tissue : their relation to the metabolic syndrome" 21 : 697-738, 2000

      6 Mittal B, "Subcutaneous adipose tissue & visceral adipose tissue" 149 : 571-573, 2019

      7 Goodpaster BH, "Subcutaneous abdominal fat and thigh muscle composition predict insulin sensitivity independently of visceral fat" 46 : 1579-1585, 1997

      8 Simoneau JA, "Skeletal muscle glycolytic and oxidative enzyme capacities are determinants of insulin sensitivity and muscle composition in obese women" 9 : 273-278, 1995

      9 Maddocks M, "Skeletal muscle adiposity is associated with physical activity, exercise capacity and fibre shift in COPD" 44 : 1188-1198, 2014

      10 이고은, "Recent Issues on Body Composition Imaging for Sarcopenia Evaluation" 대한영상의학회 20 (20): 205-217, 2019

      1 Lopes HF, "Visceral adiposity syndrome" 8 : 40-, 2016

      2 Goodpaster BH, "Thigh adipose tissue distribution is associated with insulin resistance in obesity and in type 2 diabetes mellitus" 71 : 885-892, 2000

      3 Abdullah A, "The magnitude of association between overweight and obesity and the risk of diabetes : a meta-analysis of prospective cohort studies" 89 : 309-319, 2010

      4 Studenski SA, "The FNIH sarcopenia project: rationale, study description, conference recommendations, and final estimates" 69 : 547-558, 2014

      5 Wajchenberg BL, "Subcutaneous and visceral adipose tissue : their relation to the metabolic syndrome" 21 : 697-738, 2000

      6 Mittal B, "Subcutaneous adipose tissue & visceral adipose tissue" 149 : 571-573, 2019

      7 Goodpaster BH, "Subcutaneous abdominal fat and thigh muscle composition predict insulin sensitivity independently of visceral fat" 46 : 1579-1585, 1997

      8 Simoneau JA, "Skeletal muscle glycolytic and oxidative enzyme capacities are determinants of insulin sensitivity and muscle composition in obese women" 9 : 273-278, 1995

      9 Maddocks M, "Skeletal muscle adiposity is associated with physical activity, exercise capacity and fibre shift in COPD" 44 : 1188-1198, 2014

      10 이고은, "Recent Issues on Body Composition Imaging for Sarcopenia Evaluation" 대한영상의학회 20 (20): 205-217, 2019

      11 McLaughlin T, "Preferential fat deposition in subcutaneous versus visceral depots is associated with insulin sensitivity" 96 : E1756-60, 2011

      12 Dube MC, "Muscle adiposity and body fat distribution in type 1 and type 2 diabetes: varying relationships according to diabetes type" 30 : 1721-1728, 2006

      13 Tchkonia T, "Mechanisms and metabolic implications of regional differences among fat depots" 17 : 644-656, 2013

      14 Aubrey J, "Measurement of skeletal muscle radiation attenuation and basis of its biological variation" 210 : 489-497, 2014

      15 Tanaka M, "Low-attenuation muscle is a predictor of diabetes mellitus : a population-based cohort study" 74 : 110752-, 2020

      16 Visser M, "Leg muscle mass and composition in relation to lower extremity performance in men and women aged 70 to 79 : the health, aging and body composition study" 50 : 897-904, 2002

      17 Virkamaki A, "Intramyocellular lipid is associated with resistance to in vivo insulin actions on glucose uptake, antilipolysis, and early insulin signaling pathways in human skeletal muscle" 50 : 2337-2343, 2001

      18 Manolopoulos KN, "Gluteofemoral body fat as a determinant of metabolic health" 34 : 949-959, 2010

      19 Flint AJ, "Excess weight and the risk of incident coronary heart disease among men and women" 18 : 377-383, 2010

      20 Martin M, "Ectopic fat accumulation in patients with COPD : an ECLIPSE substudy" 12 : 451-460, 2017

      21 Neeland IJ, "Dysfunctional adiposity and the risk of prediabetes and type 2 diabetes in obese adults" 308 : 1150-1159, 2012

      22 Rao Kondapally Seshasai S, "Diabetes mellitus, fasting glucose, and risk of cause-specific death" 364 : 829-841, 2011

      23 Hyo Jung Park, "Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography" 대한영상의학회 21 (21): 88-100, 2020

      24 Lloyd-Jones DM, "Defining and setting national goals for cardiovascular health promotion and disease reduction : the American Heart Association’s strategic Impact Goal through 2020 and beyond" 121 : 586-613, 2010

      25 Haggmark T, "Cross-sectional area of the thigh muscle in man measured by computed tomography" 38 : 355-360, 1978

      26 Imai K, "Covariate balancing propensity score" 76 : 243-263, 2014

      27 Kim D, "Correlation between midthigh low-density muscle and insulin resistance in obese nondiabetic patients in Korea" 26 : 1825-1830, 2003

      28 Lang T, "Computed tomographic measurements of thigh muscle cross-sectional area and attenuation coefficient predict hip fracture : the health, aging, and body composition study" 25 : 513-519, 2010

      29 Violan C, "Comparison of the information provided by electronic health records data and a population health survey to estimate prevalence of selected health conditions and multimorbidity" 13 : 251-, 2013

      30 Mitsiopoulos N, "Cadaver validation of skeletal muscle measurement by magnetic resonance imaging and computerized tomography" 85 : 115-122, 1998

      31 Fong C, "CBPS: covariate balancing propensity score [R package version 0.21]" Comprehensive R Archive Network (CRAN)

      32 Zhang M, "Associations of different adipose tissue depots with insulin resistance : a systematic review and meta-analysis of observational studies" 5 : 18495-, 2015

      33 Larsen BA, "Association of muscle mass, area, and strength with incident diabetes in older adults : the Health ABC Study" 101 : 1847-1855, 2016

      34 Borkan GA, "Age changes in body composition revealed by computed tomography" 38 : 673-677, 1983

      35 Chait A, "Adipose tissue distribution, inflammation and its metabolic consequences, including diabetes and cardiovascular disease" 7 : 22-, 2020

      36 American Diabetes Association, "2. Classification and diagnosis of diabetes : standards of medical care in diabetes-2020" 43 (43): S14-31, 2020

      37 Bjorntorp P, ""Portal"adipose tissue as a generator of risk factors for cardiovascular disease and diabetes" 10 : 493-496, 1990

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2013-12-16 학술지명변경 한글명 : 대한내분비학회지 -> Endocrinology and Metabolism
      외국어명 : Endocrinology and Metabolism -> 미등록
      KCI등재
      2013-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2010-06-28 학술지명변경 외국어명 : Journal of Korean Endocrin Society -> Endocrinology and Metabolism KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-06-05 학회명변경 영문명 : The Korean Society Of Endocrinology -> Korean Endocrin Society KCI등재
      2007-06-01 학술지명변경 외국어명 : Journal of Korean Society of Endocrinology -> Journal of Korean Endocrin Society KCI등재
      2007-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2006-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.23 0.23 0.26
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.23 0.22 0.508 0.08
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