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      KCI등재 SCOPUS

      A Novel Anthropometric Parameter, Weight-Adjusted Waist Index Represents Sarcopenic Obesity in Newly Diagnosed Type 2 Diabetes Mellitus

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      https://www.riss.kr/link?id=A108637227

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      Background: As the metabolic significance of sarcopenic obesity (SO) is revealed, finding an appropriate index to detect SO is important, especially for type 2 diabetes mellitus (T2DM) patients with accompanying metabolic dysfunction.
      Methods: Participants (n=515) from the Korea Guro Diabetes Program were included to compare how well waist circumference (WC), waist hip ratio (WHR), waist height ratio (WHtR), and the weight-adjusted waist index (WWI) predict SO in newly diagnosed T2DM patients. Sarcopenia was defined based on guidelines from the 2019 Asian Working Group for Sarcopenia as both low muscle mass (appendicular skeletal muscle [ASM]/height2 <7.0 kg/m2 for men, <5.4 kg/m2 for women) and strength (handgrip strength <28.0 kg for men, <18.0 kg for women) and/or reduced physical performance (gait speed <1.0 m/sec). Obesity was defined as a WC ≥90 cm in men and ≥85 cm in women. The WHR, WHtR, and WWI were calculated by dividing the WC by the hip circumference, height, and √ weight, respectively.
      Results: The WC, WHR, and WHtR correlated positively with the fat and muscle mass represented by truncal fat amount (TFA) and ASM, whereas the WWI was proportional to the TFA and inversely related to ASM. Of the four indices, the WWI showed the highest area under the receiver operative characteristic curve for SO. The WWI also exhibited a positive correlation with albuminuria and the mean brachial-ankle pulse wave velocity, especially in patients aged ≥65 years.
      Conclusion: The WWI is the preferable anthropometric index for predicting SO in T2DM patients, and it might be a proper index for predicting cardiometabolic risk factors in elderly people.
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      Background: As the metabolic significance of sarcopenic obesity (SO) is revealed, finding an appropriate index to detect SO is important, especially for type 2 diabetes mellitus (T2DM) patients with accompanying metabolic dysfunction. Methods: Partici...

      Background: As the metabolic significance of sarcopenic obesity (SO) is revealed, finding an appropriate index to detect SO is important, especially for type 2 diabetes mellitus (T2DM) patients with accompanying metabolic dysfunction.
      Methods: Participants (n=515) from the Korea Guro Diabetes Program were included to compare how well waist circumference (WC), waist hip ratio (WHR), waist height ratio (WHtR), and the weight-adjusted waist index (WWI) predict SO in newly diagnosed T2DM patients. Sarcopenia was defined based on guidelines from the 2019 Asian Working Group for Sarcopenia as both low muscle mass (appendicular skeletal muscle [ASM]/height2 <7.0 kg/m2 for men, <5.4 kg/m2 for women) and strength (handgrip strength <28.0 kg for men, <18.0 kg for women) and/or reduced physical performance (gait speed <1.0 m/sec). Obesity was defined as a WC ≥90 cm in men and ≥85 cm in women. The WHR, WHtR, and WWI were calculated by dividing the WC by the hip circumference, height, and √ weight, respectively.
      Results: The WC, WHR, and WHtR correlated positively with the fat and muscle mass represented by truncal fat amount (TFA) and ASM, whereas the WWI was proportional to the TFA and inversely related to ASM. Of the four indices, the WWI showed the highest area under the receiver operative characteristic curve for SO. The WWI also exhibited a positive correlation with albuminuria and the mean brachial-ankle pulse wave velocity, especially in patients aged ≥65 years.
      Conclusion: The WWI is the preferable anthropometric index for predicting SO in T2DM patients, and it might be a proper index for predicting cardiometabolic risk factors in elderly people.

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      참고문헌 (Reference)

      1 Kim NH, "Weight-adjusted waist index reflects fat and muscle mass in the opposite direction in older adults" 50 : 780-786, 2021

      2 Ashwell M, "Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors : systematic review and meta-analysis" 13 : 275-286, 2012

      3 Choi MK, "Utility of obesity indicators for metabolically healthy obesity : an observational study using the Korean National Health and Nutrition Examination Survey(2009-2010)" 14 : 1166-, 2014

      4 Levey AS, "Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate" 145 : 247-254, 2006

      5 Su X, "The relationship between non-alcoholic fatty liver and skeletal muscle mass to visceral fat area ratio in women with type 2 diabetes" 19 : 76-, 2019

      6 Yin T, "The association between sarcopenic obesity and hypertension, diabetes, and abnormal lipid metabolism in Chinese adults" 14 : 1963-1973, 2021

      7 Enzi G, "Subcutaneous and visceral fat distribution according to sex, age, and overweight, evaluated by computed tomography" 44 : 739-746, 1986

      8 Lu JL, "Screening accuracy of SARC-F for sarcopenia in the elderly : a diagnostic meta-analysis" 25 : 172-182, 2021

      9 Stephen WC, "Sarcopenic-obesity and cardiovascular disease risk in the elderly" 13 : 460-466, 2009

      10 Stenholm S, "Sarcopenic obesity: definition, cause and consequences" 11 : 693-700, 2008

      1 Kim NH, "Weight-adjusted waist index reflects fat and muscle mass in the opposite direction in older adults" 50 : 780-786, 2021

      2 Ashwell M, "Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors : systematic review and meta-analysis" 13 : 275-286, 2012

      3 Choi MK, "Utility of obesity indicators for metabolically healthy obesity : an observational study using the Korean National Health and Nutrition Examination Survey(2009-2010)" 14 : 1166-, 2014

      4 Levey AS, "Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate" 145 : 247-254, 2006

      5 Su X, "The relationship between non-alcoholic fatty liver and skeletal muscle mass to visceral fat area ratio in women with type 2 diabetes" 19 : 76-, 2019

      6 Yin T, "The association between sarcopenic obesity and hypertension, diabetes, and abnormal lipid metabolism in Chinese adults" 14 : 1963-1973, 2021

      7 Enzi G, "Subcutaneous and visceral fat distribution according to sex, age, and overweight, evaluated by computed tomography" 44 : 739-746, 1986

      8 Lu JL, "Screening accuracy of SARC-F for sarcopenia in the elderly : a diagnostic meta-analysis" 25 : 172-182, 2021

      9 Stephen WC, "Sarcopenic-obesity and cardiovascular disease risk in the elderly" 13 : 460-466, 2009

      10 Stenholm S, "Sarcopenic obesity: definition, cause and consequences" 11 : 693-700, 2008

      11 Takahashi F, "Sarcopenic obesity is associated with macroalbuminuria in patients with type 2 diabetes : a cross-sectional study" 68 : 781-789, 2021

      12 Fukuda T, "Sarcopenic obesity assessed using dual energy X-ray absorptiometry(DXA)can predict cardiovascular disease in patients with type 2 diabetes : a retrospective observational study" 17 : 55-, 2018

      13 Lim S, "Sarcopenic obesity : prevalence and association with metabolic syndrome in the Korean Longitudinal Study on Health and Aging(KLoSHA)" 33 : 1652-1654, 2010

      14 Rolland Y, "Sarcopenia, calf circumference, and physical function of elderly women: a cross-sectional study" 51 : 1120-1124, 2003

      15 Han E, "Sarcopenia is associated with albuminuria independently of hypertension and diabetes : KNHANES 2008-2011" 65 : 1531-1540, 2016

      16 Wijarnpreecha K, "Sarcopenia and risk of nonalcoholic fatty liver disease : a meta-analysis" 24 : 12-17, 2018

      17 Shah AS, "Relationship between arterial stiffness and subsequent cardiac structure and function in young adults with youth-onset type 2 diabetes : results from the TODAY study" 35 : 620-628, 2022

      18 김정아 ; 황순영 ; 정혜수 ; 김남훈 ; 서지아 ; 김신곤 ; 김난희 ; 최경묵 ; 백세현 ; 류혜진, "Proportion and Characteristics of the Subjects with Low Muscle Mass and Abdominal Obesity among the Newly Diagnosed and Drug-Naïve Type 2 Diabetes Mellitus Patients" 대한당뇨병학회 43 (43): 105-113, 2019

      19 Das A, "Mid-upper arm circumference as a substitute of the body mass index for assessment of nutritional status among adult and adolescent females : learning from an impoverished Indian state" 179 : 68-75, 2020

      20 Basi S, "Microalbuminuria in type 2 diabetes and hypertension: a marker, treatment target, or innocent bystander?" 31 (31): S194-S201, 2008

      21 Nishikawa H, "Metabolic syndrome and sarcopenia" 13 : 3519-, 2021

      22 Wijnhoven HA, "Low mid-upper arm circumference, calf circumference, and body mass index and mortality in older persons" 65 : 1107-1114, 2010

      23 World Health Organization, "International Obesity Taskforce. The Asia-Pacific perspective: redefining obesity and its treatment" Health Communications 2000

      24 Lee CM, "Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI : a meta-analysis" 61 : 646-653, 2008

      25 Baumgartner RN, "Epidemiology of sarcopenia among the elderly in New Mexico" 147 : 755-763, 1998

      26 Vazquez G, "Comparison of body mass index, waist circumference, and waist/hip ratio in predicting incident diabetes: a meta-analysis" 29 : 115-128, 2007

      27 Kawakami R, "Calf circumference as a surrogate marker of muscle mass for diagnosing sarcopenia in Japanese men and women" 15 : 969-976, 2015

      28 Hwang AC, "Calf circumference as a screening instrument for appendicular muscle mass measurement" 19 : 182-184, 2018

      29 Huxley R, "Body mass index, waist circumference and waist:hip ratio as predictors of cardiovascular risk: a review of the literature" 64 : 16-22, 2010

      30 Nishida C, "Body fat distribution and noncommunicable diseases in populations : overview of the 2008 WHO expert consultation on waist circumference and waist-hip ratio" 64 : 2-5, 2010

      31 Sanada K, "Association of sarcopenic obesity predicted by anthropometric measurements and 24-y all-cause mortality in elderly men : the Kuakini Honolulu Heart Program" 46 : 97-102, 2018

      32 Kim SH, "Association between sarcopenia level and metabolic syndrome" 16 : e0248856-, 2021

      33 Chen LK, "Asian Working Group for Sarcopenia : 2019 consensus update on sarcopenia diagnosis and treatment" 21 : 300-307, 2020

      34 Vasan RS, "Arterial stiffness and long-term risk of health outcomes : the Framingham Heart Study" 79 : 1045-1056, 2022

      35 한유진 ; 김미경 ; 장병국 ; 김혜순, "Albuminuria Is Associated with Steatosis Burden in Patients with Type 2 Diabetes Mellitus and Nonalcoholic Fatty Liver Disease" 대한당뇨병학회 45 (45): 698-707, 2021

      36 Romero-Corral A, "Accuracy of body mass index in diagnosing obesity in the adult general population" 32 : 959-966, 2008

      37 Park Y, "A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality" 8 : 16753-, 2018

      38 김보연 ; 강선미 ; 강지현 ; 강서영 ; 김경곤 ; 김경배 ; 김범택 ; 김승준 ; 김양현 ; 김정환 ; 김재현 ; 김은미 ; 남가은 ; 박지연 ; 손장원 ; 신윤아 ; 신혜정 ; 오태정 ; 이혁 ; 전언주 ; 정소정 ; 홍용희 ; 김종화 ; 대한비만학회 진료지침위원회, "2020 Korean Society for the Study of Obesity Guidelines for the Management of Obesity in Korea" 대한비만학회 30 (30): 81-92, 2021

      39 Cosentino F, "2019 ESC guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD" 41 : 255-323, 2020

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