Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Search

Page Path
HOME > Search
4 "Jimi Choi"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Articles
Cardiovascular Risk/Epidemiology
Article image
Comparison of on-Statin Lipid and Lipoprotein Levels for the Prediction of First Cardiovascular Event in Type 2 Diabetes Mellitus
Ji Yoon Kim, Jimi Choi, Sin Gon Kim, Nam Hoon Kim
Diabetes Metab J. 2023;47(6):837-845.   Published online August 23, 2023
DOI: https://doi.org/10.4093/dmj.2022.0217
  • 2,480 View
  • 208 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
A substantial cardiovascular disease risk remains even after optimal statin therapy. Comparative predictiveness of major lipid and lipoprotein parameters for cardiovascular events in patients with type 2 diabetes mellitus (T2DM) who are treated with statins is not well documented.
Methods
From the Korean Nationwide Cohort, 11,900 patients with T2DM (≥40 years of age) without a history of cardiovascular disease and receiving moderate- or high-intensity statins were included. The primary outcome was the first occurrence of major adverse cardiovascular events (MACE) including ischemic heart disease, ischemic stroke, and cardiovascular death. The risk of MACE was estimated according to on-statin levels of low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), highdensity lipoprotein cholesterol (HDL-C), and non-HDL-C.
Results
MACE occurred in 712 patients during a median follow-up period of 37.9 months (interquartile range, 21.7 to 54.9). Among patients achieving LDL-C levels less than 100 mg/dL, the hazard ratios for MACE per 1-standard deviation change in ontreatment values were 1.25 (95% confidence interval [CI], 1.07 to 1.47) for LDL-C, 1.31 (95% CI, 1.09 to 1.57) for non-HDL-C, 1.05 (95% CI, 0.91 to 1.21) for TG, and 1.16 (95% CI, 0.98 to 1.37) for HDL-C, after adjusting for potential confounders and lipid parameters mutually. The predictive ability of on-statin LDL-C and non-HDL-C for MACE was prominent in patients at high cardiovascular risk or those with LDL-C ≥70 mg/dL.
Conclusion
On-statin LDL-C and non-HDL-C levels are better predictors of the first cardiovascular event than TG or HDL-C in patients with T2DM.
Metabolic Risk/Epidemiology
Associations between Weight-Adjusted Waist Index and Abdominal Fat and Muscle Mass: Multi-Ethnic Study of Atherosclerosis
Ji Yoon Kim, Jimi Choi, Chantal A. Vella, Michael H. Criqui, Matthew A. Allison, Nam Hoon Kim
Diabetes Metab J. 2022;46(5):747-755.   Published online March 30, 2022
DOI: https://doi.org/10.4093/dmj.2021.0294
  • 6,963 View
  • 278 Download
  • 57 Web of Science
  • 68 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The weight-adjusted waist index (WWI) reflected body compositional changes with aging. This study was to investigate the association of WWI with abdominal fat and muscle mass in a diverse race/ethnic population.
Methods
Computed tomography (CT) data from 1,946 participants for abdominal fat and muscle areas from the Multi-Ethnic Study of Atherosclerosis (785 Whites, 252 Asians, 406 African American, and 503 Hispanics) were used. Among them, 595 participants underwent repeated CT. The WWI was calculated as waist circumference (cm) divided by the square root of body weight (kg). The associations of WWI with abdominal fat and muscle measures were examined, and longitudinal changes in abdominal composition measures were compared.
Results
In all race/ethnic groups, WWI was positively correlated with total abdominal fat area (TFA), subcutaneous fat area, and visceral fat area, but negatively correlated with total abdominal muscle area (TMA) and abdominal muscle radiodensity (P<0.001 for all). WWI showed a linear increase with aging regardless of race and there were no significant differences in the WWI distribution between Whites, Asians, and African Americans. In longitudinal analyses, over 38.6 months of follow-up, all abdominal fat measures increased but muscle measures decreased, along with increase in WWI. The more the WWI increased, the more the TFA increased and the more the TMA decreased.
Conclusion
WWI showed positive associations with abdominal fat mass and negative associations with abdominal muscle mass, which likely reflects the abdominal compositional changes with aging in a multi-ethnic population.

Citations

Citations to this article as recorded by  
  • Development and external validation of a machine-learning based model to predict pre-sarcopenia in MASLD population: Results from NHANES 2017–2018
    Siwei Yang, Jianan Yu, Qiyang Chen, Xuedong Sun, Yuefeng Hu, Tianhao Su, Jian Li, Long Jin
    Annals of Hepatology.2025; 30(2): 101585.     CrossRef
  • The association between weight-adjusted-waist index and depression: Results from NHANES 2005–2018
    Meng Li, Xue Yu, Wenhui Zhang, Jiahui Yin, Lu Zhang, Guoshuai Luo, Yuanxiang Liu, Jiguo Yang
    Journal of Affective Disorders.2024; 347: 299.     CrossRef
  • Association between weight-adjusted-waist index and gallstones: an analysis of the National Health and Nutrition Examination Survey
    Si-Hua Wen, Xin Tang, Tao Tang, Zheng-Rong Ye
    BMC Gastroenterology.2024;[Epub]     CrossRef
  • Association between weight-adjusted waist index and myopia in adolescents and young adults: results from NHANES 1999–2008
    Xu Han Shi, Li Dong, Rui Heng Zhang, Wen Bin Wei
    BMC Ophthalmology.2024;[Epub]     CrossRef
  • Association between the weight-adjusted waist index and the odds of type 2 diabetes mellitus in United States adults: a cross-sectional study
    Dongdong Zheng, Suzhen Zhao, Dan Luo, Feng Lu, Zhishen Ruan, Xiaokang Dong, Wenjing Chen
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Association between Weight-Adjusted Waist Index and depressive symptoms: A nationally representative cross-sectional study from NHANES 2005 to 2018
    Hangyu Liu, Jin Zhi, Chuzhao Zhang, Shiyi Huang, Yang Ma, Dandan Luo, Lungang Shi
    Journal of Affective Disorders.2024; 350: 49.     CrossRef
  • Relationship between cognitive function and weight-adjusted waist index in people ≥ 60 years old in NHANES 2011–2014
    Xue-li Wang, Hong-lin Feng, Xiao-zhuo Xu, Jing Liu, Xu Han
    Aging Clinical and Experimental Research.2024;[Epub]     CrossRef
  • Association between weight-adjusted-waist index and periodontitis risk: A cross-sectional study
    Xinyu Wu, Zahra Cheraghi
    PLOS ONE.2024; 19(5): e0302137.     CrossRef
  • Association between weight-adjusted waist index and non-alcoholic fatty liver disease: a population-based study
    Changhui Yu, Shiming He, Maobin Kuang, Chao Wang, Xin Huang, Guotai Sheng, Yang Zou
    BMC Endocrine Disorders.2024;[Epub]     CrossRef
  • Association between weight-adjusted waist index and serum total testosterone in males aged 6–19 years in the United States: Data from NHANES 2013–2016
    Zhifei Wu, Lingling Bao, Haiyan Wang, Jiajing Zheng, Yu Chen, Wenjuan Wang, Dongkai Qiu
    Heliyon.2024; 10(6): e27520.     CrossRef
  • Associations of weight-adjusted-waist index and depression with secondary infertility
    Fei Sun, Min Liu, Shanshan Hu, Ruijie Xie, Huijuan Chen, Zhaona Sun, Huiya Bi
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Association between weight-adjusted-waist index and depression in US adults: A cross-sectional study
    Yun Shen, Yahui Wu, Panru Luo, Minghan Fu, Kai Zhu, Jinsheng Wang
    Journal of Affective Disorders.2024; 355: 299.     CrossRef
  • Age differences in the association of body mass index-defined obesity with abdominal aortic calcification
    Tangmeng Guo, Lili Huang, Zhijian Luo, Huabo Zheng, Shengshuai Shan, Bei Cheng
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • The relationship between weight-adjusted-waist index and diabetic kidney disease in patients with type 2 diabetes mellitus
    Zhaoxiang Wang, Xuejing Shao, Wei Xu, Bingshuang Xue, Shao Zhong, Qichao Yang
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • The association between the weight-adjusted-waist index and frailty in US older adults: a cross-sectional study of NHANES 2007–2018
    Shanshan Jia, Xingwei Huo, Lirong Sun, Yuanyuan Yao, Xiaoping Chen
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Can weight-adjusted waist circumference index become a single anthropometric predictor of prostate-specific antigen concentration? A National Health and Nutrition Examination Survey analysis (2003–2010)
    Guodong Yang, Te Cui, Yu Cao, Shuowen Wang, Xinyi Yang, Mikhail Enikeev, Mingze He
    Journal of Investigative Medicine.2024; 72(6): 532.     CrossRef
  • The association between weight-adjusted-waist index and sarcopenia in adults: a population-based study
    Haojing Zhou, Hai Su, Yichen Gong, Lei Chen, Lihan Xu, Guoqian Chen, Peijian Tong
    Scientific Reports.2024;[Epub]     CrossRef
  • Weight-adjusted waist index is an independent predictor of all-cause and cause-specific mortality in patients with asthma
    Shidong Wang, Dai Li, Liping Sun
    Heart & Lung.2024; 68: 166.     CrossRef
  • Associations of body mass index, waist circumference and the weight‐adjusted waist index with daily living ability impairment in older Chinese people: A cross‐sectional study of the Chinese Longitudinal Healthy Longevity Survey
    Jie Sun, Jie Lin, Wenqin Shen, Pan Ding, Wenjuan Yang, Li Huang, Huajian Chen
    Diabetes, Obesity and Metabolism.2024; 26(9): 4069.     CrossRef
  • Relationship between weight-adjusted-waist index and blood pressure as well as incident hypertension among middle-aged and elderly Chinese: A longitudinal study
    XingJie Huang, Yuqing Huang, Hanli Zhou, Zehan Huang
    Nutrition, Metabolism and Cardiovascular Diseases.2024; 34(9): 2095.     CrossRef
  • Flavonoids intake and weight-adjusted waist index: insights from a cross-sectional study of NHANES
    Shuang Zu, Meiling Yang, Xiude Li, Hanhan Wu, Xunliang Li, Yunshan Fan, Deguang Wang, Bao Zhang
    Frontiers in Nutrition.2024;[Epub]     CrossRef
  • Weight-adjusted-waist index is positively associated with urinary incontinence: results from the National Health and Nutrition Examination Survey (NHANES) 2001–2018
    Shangqi Cao, Xu Hu, Yaxiong Tang, Kang Wu, Weixiao Yang, Xiang Li
    European Journal of Medical Research.2024;[Epub]     CrossRef
  • The association between weight-adjusted waist circumference index and cardiovascular disease and mortality in patients with diabetes
    Zaixiao Tao, Pengfei Zuo, Genshan Ma
    Scientific Reports.2024;[Epub]     CrossRef
  • The association between weight-adjusted-waist index and muscle strength in adults: a population-based study
    Lihan Xu, Haojing Zhou
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Weight-adjusted waist index is a potential early predictor of degraded bone microarchitecture: A cross-sectional study of the national health and nutrition examination survey 2007-2008
    Baoguo Mi, Jitao Zhang, Kuo Jiang, Hailan Meng, Lequn Shan, Dingjun Hao
    Journal of Orthopaedic Surgery.2024;[Epub]     CrossRef
  • The weight-adjusted waist index and frailty: A cohort study from the China Health and Retirement Longitudinal Study
    Jinhua Luo, Hailian Deng, Yueying Wu, Tuming Zhang, Yuying Cai, Yu Yang
    The Journal of nutrition, health and aging.2024; 28(9): 100322.     CrossRef
  • The association between Weight-adjusted-Waist Index (WWI) and cognitive function in older adults: a cross-sectional NHANES 2011–2014 study
    Xichenhui Qiu, Jiahao Kuang, Yiqing Huang, Changning Wei, Xujuan Zheng
    BMC Public Health.2024;[Epub]     CrossRef
  • Association between weight-adjusted waist index and risk of diabetes mellitus type 2 in United States adults and the predictive value of obesity indicators
    XinMeng Li, Dan Zhao, Hongkun Wang
    BMC Public Health.2024;[Epub]     CrossRef
  • Association of the weight-adjusted waist index with hypertension in the context of predictive, preventive, and personalized medicine
    Qi Sun, Yang Yang, Jing Liu, Fang Ye, Qin Hui, Yuanmei Chen, Die Liu, Qi Zhang
    EPMA Journal.2024; 15(3): 491.     CrossRef
  • The Link Between Weight-Adjusted-Waist Index and Psoriasis in Adults: A Cross-Sectional Study Based on 2009-2014 and 2003-2006 Data
    Yizi Jiang, Min Jia
    Clinical, Cosmetic and Investigational Dermatology.2024; Volume 17: 1763.     CrossRef
  • Association of weight-adjusted waist index with cardiovascular disease and mortality among metabolic syndrome population
    Zaixiao Tao, Pengfei Zuo, Genshan Ma
    Scientific Reports.2024;[Epub]     CrossRef
  • Association between the weight-adjusted-waist index and circadian syndrome in findings from a nationwide study
    Weiwei Zeng
    Scientific Reports.2024;[Epub]     CrossRef
  • The association of weight-adjusted waist index with the risk of osteoporosis in patients with type 2 diabetes: a cross-sectional study
    Runzhou Pan, Yukun Li
    Journal of Orthopaedic Surgery and Research.2024;[Epub]     CrossRef
  • Relationship between weight‐adjusted‐waist index and all‐cause and cardiovascular mortality in individuals with type 2 diabetes
    Tian‐Yu Zhang, Zi‐Meng Zhang, Xue‐Ning Wang, Hong‐Yu Kuang, Qian Xu, Hong‐Xue Li, Cheng‐Ye Xu, Kang‐Qi Zhao, Cong Zhang, Ming Hao
    Diabetes, Obesity and Metabolism.2024; 26(12): 5621.     CrossRef
  • Is weight-adjusted waist index more strongly associated with diabetes than body mass index and waist circumference?: Results from the database large community sample study
    Jiabei Wu, Jinli Guo, Fredirick Lazaro Mashili
    PLOS ONE.2024; 19(9): e0309150.     CrossRef
  • Weight-adjusted waist index predicts metabolic syndrome in Caucasian patients with obesity
    Daniel de Luis Román, David Primo, Olatz Izaola Jáuregui, Daniel Rico Bigues, Juan José López Gómez
    Nutrición Hospitalaria.2024;[Epub]     CrossRef
  • Association between healthy lifestyle and frailty in adults and mediating role of weight-adjusted waist index: results from NHANES
    Shibo Liu, Xiangjun Pan, Bo Chen, Dapeng Zeng, Shenghao Xu, Ruiyan Li, Xiongfeng Tang, Yanguo Qin
    BMC Geriatrics.2024;[Epub]     CrossRef
  • Weight-adjusted waist index is positively and linearly associated with all-cause and cardiovascular mortality in metabolic dysfunction-associated steatotic liver disease: findings from NHANES 1999-2018
    Weijie Liu, Xiulin Yang, Ting Zhan, Min Huang, Xiaorong Tian, Xia Tian, Xiaodong Huang
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Weight-adjusted waist index and disability: a cohort study from CHARLS
    Guangyan Liu, Tuming Zhang, Yueying Wu, Wenyue Sha, Liqi Chen, Jinhua Luo, Yu Yang
    BMC Public Health.2024;[Epub]     CrossRef
  • The relationship between weight-adjusted-waist index, body mass index and diabetic retinopathy among American adults: a population-based analysis
    Songtao Wang, Hecong Qin, Yu Zhang, Ning Yang, Jinsong Zhao
    Scientific Reports.2024;[Epub]     CrossRef
  • Sex-specific association of weight-adjusted waist index with mortality in stroke survivors: A national longitudinal cohort study
    Fei Liu, Jiarui Chen, Ying Yao, Reng Ren, Yue Yu, Yinghong Hu
    Nutrition, Metabolism and Cardiovascular Diseases.2024;[Epub]     CrossRef
  • Association between weight-adjusted waist index with incident stroke in the elderly with hypertension: a cohort study
    Junli Hu, Xintian Cai, Shuaiwei Song, Qing Zhu, Di Shen, Wenbo Yang, Jing Hong, Qin Luo, Nanfang Li
    Scientific Reports.2024;[Epub]     CrossRef
  • Association between the weight-adjusted-waist index and testosterone deficiency in adult males: a cross-sectional study
    Peiqing Wang, Qiuling Li, Lifeng Wu, Xiaojun Yu, Yangxi Zheng, Jingyuan Liu, Jieying Yao, Zhenrui Liu, Sisi Fan, Yiqin Li
    Scientific Reports.2024;[Epub]     CrossRef
  • Correlation between obstructive sleep apnea and weight-adjusted-waist index: a cross-sectional study
    Mengye Zhang, Xiaolu Weng, Jing Xu, Xue Xu
    Frontiers in Medicine.2024;[Epub]     CrossRef
  • Weight-adjusted waist index associated with bone mineral density in rheumatoid arthritis patients: a cross-sectional study
    Qian Lyu, Linxiao Ma, Huijie Liu, Haiyan Shao
    Clinical Rheumatology.2024;[Epub]     CrossRef
  • Assessment of existing anthropometric indices for screening sarcopenic obesity in older adults
    Jin Eui Kim, Jimi Choi, Miji Kim, Chang Won Won
    British Journal of Nutrition.2023; 129(5): 875.     CrossRef
  • Relationship Between Weight-Adjusted Waist Index and Osteoporosis in the Senile in the United States from the National Health and Nutrition Examination Survey, 2017-2020
    Yuxiang Lin, Zijie Liang, Anxin Zhang, Nuo Xu, Xuewen Pei, Nanbu Wang, Liang Zheng, Danghan Xu
    Journal of Clinical Densitometry.2023; 26(2): 101361.     CrossRef
  • The association of asthma duration with body mass index and Weight-Adjusted-Waist index in a nationwide study of the U.S. adults
    Xiaoxiao Han, Xiaofang He, Gui Hao, Lifang Cao, Yinliang Qi, Kexing Han
    European Journal of Medical Research.2023;[Epub]     CrossRef
  • Relationship between weight-adjusted-waist index and erectile dysfunction in the United State: results from NHANES 2001-2004
    Shangqi Cao, Xu Hu, Yanxiang Shao, Yaohui Wang, Yaxiong Tang, Shangqing Ren, Xiang Li
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • The association between weight-adjusted-waist index and total bone mineral density in adolescents: NHANES 2011–2018
    Xiaohua Wang, Shuo Yang, Gansheng He, Lin Xie
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Asthma prevalence is increased in patients with high metabolism scores for visceral fat: study reports from the US
    Qiushi Liu, Xiaoxiao Han, Yan Chen, Ying Gao, Wei Yang, Lewei Huang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Positive association between weight-adjusted-waist index and dementia in the Chinese population with hypertension: a cross-sectional study
    Wei Zhou, Yanyou Xie, Lingling Yu, Chao Yu, Huihui Bao, Xiaoshu Cheng
    BMC Psychiatry.2023;[Epub]     CrossRef
  • Associations between weight-adjusted waist index and bone mineral density: results of a nationwide survey
    Ya Zhang, Haiyang Wu, Cheng Li, Changxiong Liu, Mingjiang Liu, Xiaozhu Liu, Qiming Yin, Xianzhe Li, Ruijie Xie
    BMC Endocrine Disorders.2023;[Epub]     CrossRef
  • Association of weight-adjusted-waist index with non-alcoholic fatty liver disease and liver fibrosis: a cross-sectional study based on NHANES
    Qinggang Hu, Kexing Han, Jiapei Shen, Weijie Sun, Long Gao, Yufeng Gao
    European Journal of Medical Research.2023;[Epub]     CrossRef
  • Weight‐adjusted waist as an integrated index for fat, muscle and bone health in adults
    Kyoung Jin Kim, Serhim Son, Kyeong Jin Kim, Sin Gon Kim, Nam Hoon Kim
    Journal of Cachexia, Sarcopenia and Muscle.2023; 14(5): 2196.     CrossRef
  • Association between weight-adjusted-waist index and female infertility: a population-based study
    Zujun Wen, Xiang Li
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Association between weight-adjusted-waist index and risk of cardiovascular diseases in United States adults: a cross-sectional study
    Haiyang Fang, Feng Xie, Kai Li, Meng Li, Yanqing Wu
    BMC Cardiovascular Disorders.2023;[Epub]     CrossRef
  • Association between the weight-adjusted waist index and stroke: a cross-sectional study
    Jiayi Ye, Yanjie Hu, Xinrong Chen, Zhe Yin, Xingzhu Yuan, Liping Huang, Ka Li
    BMC Public Health.2023;[Epub]     CrossRef
  • Association between weight-adjusted-waist index and chronic kidney disease: a cross-sectional study
    Xiaowan Li, Lanyu Wang, Hongyi Zhou, Hongyang Xu
    BMC Nephrology.2023;[Epub]     CrossRef
  • Sex Differences in the Association of Weight-Adjusted-Waist Index with Sarcopenic Obesity: A Cross-Sectional Study of Hemodialysis Patients
    Maolu Tian, Qin Lan, Fangfang Yu, Pinghong He, Shanshan Hu, Yan Zha
    Metabolic Syndrome and Related Disorders.2023; 21(10): 596.     CrossRef
  • Lean or Non-obese Nonalcoholic Fatty Liver Disease Patients: Are They Really Lean?
    Eugene Han, Yong-ho Lee
    Clinical and Molecular Hepatology.2023; 29(4): 980.     CrossRef
  • The association of body mass index and weight waist adjustment index with serum ferritin in a national study of US adults
    Hao Han, Ping Ni, Siqi Zhang, Xiaojuan Ji, Mingli Zhu, Wanyu Ma, Hongfeng Ge, Hailiang Chu
    European Journal of Medical Research.2023;[Epub]     CrossRef
  • The weight-adjusted-waist index and cognitive impairment among U.S. older adults: a population-based study
    Xiao-tong Huang, Xiang Lv, Hong Jiang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • The relationship between weight-adjusted-waist index and total bone mineral density in adults aged 20-59
    Meiqian Guo, Yi Lei, Xueqing Liu, Xiang Li, Yong Xu, Donghui Zheng
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Associations between weight-adjusted-waist index and infertility: Results from NHANES 2013 to 2020
    Huanxin Zhong, Bin Yu, Fen Zhao, Hongyin Cui, Lifang You, Dao Feng, Yi Lu
    Medicine.2023; 102(48): e36388.     CrossRef
  • The association between weight-adjusted-waist index and increased urinary albumin excretion in adults: A population-based study
    Zheng Qin, Kaixi Chang, Qinbo Yang, Qiao Yu, Ruoxi Liao, Baihai Su
    Frontiers in Nutrition.2022;[Epub]     CrossRef
  • Association between the weight-adjusted-waist index and abdominal aortic calcification in United States adults: Results from the national health and nutrition examination survey 2013–2014
    Feng Xie, Yuan Xiao, Xiaozhong Li, Yanqing Wu
    Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
  • The association between weight-adjusted-waist index and abdominal aortic calcification in adults aged ≥ 40 years: results from NHANES 2013–2014
    Zheng Qin, Dongru Du, Yupei Li, Kaixi Chang, Qinbo Yang, Zhuyun Zhang, Ruoxi Liao, Baihai Su
    Scientific Reports.2022;[Epub]     CrossRef
Response
Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study (Diabetes Metab J 2021;45:368-78)
Kyoung Jin Kim, Jimi Choi, Jae Hyun Bae, Kyeong Jin Kim, Hye Jin Yoo, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim, Nam Hoon Kim
Diabetes Metab J. 2021;45(4):617-618.   Published online July 30, 2021
DOI: https://doi.org/10.4093/dmj.2021.0152
  • 4,356 View
  • 117 Download
  • 3 Crossref
PDFPubReader   ePub   

Citations

Citations to this article as recorded by  
  • Construction of an Early Risk Prediction Model for Type 2 Diabetic Peripheral Neuropathy Based on Random Forest
    Zhengang Wei, Xiaohua Wang, Liqin Lu, Su Li, Wenyan Long, Lin Zhang, Shaolin Shen
    CIN: Computers, Informatics, Nursing.2024; 42(9): 665.     CrossRef
  • The effect of close and intensive therapeutic monitoring of patients with poorly controlled type 2 diabetes with different glycemic background
    Ayşe Naciye Erbakan, Müzeyyen Arslan Bahadir, Fatoş Nimet Kaya, Büşra Güleç, Miraç Vural Keskinler, Özge Faydaliel, Banu Mesçi, Aytekin Oğuz
    Medicine.2023; 102(50): e36680.     CrossRef
  • Reduced macula microvascular densities may be an early indicator for diabetic peripheral neuropathy
    Xiaoyu Deng, Shiqi Wang, Yan Yang, Aizhen Chen, Jinger Lu, Jinkui Hao, Yufei Wu, Qinkang Lu
    Frontiers in Cell and Developmental Biology.2022;[Epub]     CrossRef
Original Article
Complications
Article image
Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study
Kyoung Jin Kim, Jimi Choi, Jae Hyun Bae, Kyeong Jin Kim, Hye Jin Yoo, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim, Nam Hoon Kim
Diabetes Metab J. 2021;45(3):368-378.   Published online October 20, 2020
DOI: https://doi.org/10.4093/dmj.2020.0046
  • 10,743 View
  • 377 Download
  • 28 Web of Science
  • 25 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To evaluate the association of time to reach the target glycosylated hemoglobin (HbA1c) level with long-term durable glycemic control and risk of diabetic complications in patients with newly diagnosed type 2 diabetes mellitus (T2DM).
Methods
In a longitudinal observational cohort, 194 patients with T2DM newly diagnosed between January 2011 and March 2013 were followed up over 6 years. Patients were classified according to the time needed to reach the target HbA1c (<7.0%): <3, 3 to 6 (early achievement group), and ≥6 months (late achievement group). Risks of microvascular complications including diabetic retinopathy, nephropathy, and neuropathy as well as macrovascular events including ischemic heart disease, ischemic stroke, and peripheral arterial disease were assessed by multivariable Cox proportional hazards analysis.
Results
During a median follow-up of 6.53 years, 66 microvascular and 14 macrovascular events occurred. Maintenance of durable glycemic control over 6 years was more likely in the early achievement groups than in the late achievement group (34.5%, 30.0%, and 16.1% in <3, 3 to 6, and ≥6 months, respectively, P=0.039). Early target HbA1c achievement was associated with lower risk of composite diabetic complications (adjusted hazard ratio [HR, 0.47; 95% confidence interval [CI], 0.26 to 0.86 in <3 months group) (adjusted HR, 0.50; 95% CI, 0.23 to 1.10 in 3 to 6 months group, in reference to ≥6 months group). Similar trends were maintained for risks of microvascular and macrovascular complications, although statistical significance was not reached for macrovascular complications.
Conclusion
Early target HbA1c achievement was associated with long-term durable glycemic control and reduced risk of diabetic complications in newly diagnosed T2DM.

Citations

Citations to this article as recorded by  
  • Association of Helicobacter pylori infection with complications of diabetes: a single-center retrospective study
    Zhuoya Li, Jie Zhang, Yizhou Jiang, Kai Ma, Cheng Cui, Xiaoyong Wang
    BMC Endocrine Disorders.2024;[Epub]     CrossRef
  • HbA1c As Diabetes Mellitus Biomarker and Its Methods Evolution
    Liong Boy Kurniawan
    INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY.2024; 30(2): 191.     CrossRef
  • Efficacy and safety of enavogliflozin vs. dapagliflozin as add-on therapy in patients with type 2 diabetes mellitus based on renal function: a pooled analysis of two randomized controlled trials
    Young Sang Lyu, Sangmo Hong, Si Eun Lee, Bo Young Cho, Cheol-Young Park
    Cardiovascular Diabetology.2024;[Epub]     CrossRef
  • The effect of health quotient and time management skills on self-management behavior and glycemic control among individuals with type 2 diabetes mellitus
    Mengjie Chen, Man Liu, Ying Pu, Juan Wu, Mingjiao Zhang, Hongxia Tang, Laixi Kong, Maoting Guo, Kexue Zhu, Yuxiu Xie, Zhe Li, Bei Deng, Zhenzhen Xiong
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Efficacy and tolerability of initial triple combination therapy with metformin, dapagliflozin and saxagliptin compared with stepwise add‐on therapy in drug‐naïve patients with type 2 diabetes (TRIPLE‐AXEL study): A multicentre, randomized, 104‐week, open‐
    Nam Hoon Kim, Jun Sung Moon, Yong‐ho Lee, Ho Chan Cho, Soo Heon Kwak, Soo Lim, Min Kyong Moon, Dong‐Lim Kim, Tae Ho Kim, Eunvin Ko, Juneyoung Lee, Sin Gon Kim
    Diabetes, Obesity and Metabolism.2024; 26(9): 3642.     CrossRef
  • A study of the relationship between social support, depression, alexithymia and glycemic control in patients with type 2 diabetes mellitus: a structural equation modeling approach
    Yuqin Gan, Fengxiang Tian, Xinxin Fan, Hui Wang, Jian Zhou, Naihui Yang, Hong Qi
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Prediction factors and models for chronic kidney disease in type 2 diabetes mellitus: A review of the literature
    Yan Yang, Bixia Yang, Bin Wang, Hua Zhou, Min Yang, Bicheng Liu
    Clinical and Translational Discovery.2024;[Epub]     CrossRef
  • Cost‐effectiveness of the tandem t: Slim X2 with control‐IQ technology automated insulin delivery system in children and adolescents with type 1 diabetes in Sweden
    Peter Adolfsson, Alina Heringhaus, Karin Sjunnesson, Laila Mehkri, Kristian Bolin
    Diabetic Medicine.2024;[Epub]     CrossRef
  • The Association Between Triglyceride Glucose-Body Mass Index and Kidney Impairment in Patients with Type 2 Diabetes Mellitus
    Nan Huang, Bing Lu, Zhuan-Zhuan Zhu, Xiang-Yun Zhu, Sheng Chen, Zhi-Yi Shu, Gai-Fang Liu, You-Fan Peng, Ling Li
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 3447.     CrossRef
  • Glycemic control and cardiovascular complications of type 2 diabetes mellitus
    I. V. Druk, S. S. Safronova
    Meditsinskiy sovet = Medical Council.2023; (13): 130.     CrossRef
  • Effect of viscous soluble dietary fiber on glucose and lipid metabolism in patients with type 2 diabetes mellitus: a systematic review and meta-analysis on randomized clinical trials
    Kun Lu, Tingqing Yu, Xinyi Cao, Hui Xia, Shaokang Wang, Guiju Sun, Liang Chen, Wang Liao
    Frontiers in Nutrition.2023;[Epub]     CrossRef
  • Construction and validation of a clinical prediction model for asymptomatic obstructive coronary stenosis in patients with carotid stenosis
    Cuijie Qin, Chuang Li, Yunpeng Luo, Zhen Li, Hui Cao
    Frontiers in Cardiovascular Medicine.2023;[Epub]     CrossRef
  • Risk assessment of rectal anastomotic leakage (RAREAL) after DIXON in non-emergency patients with rectal cancer
    Xue-Cong Zheng, Jin-Bo Su, Jin-Jie Zheng
    BMC Gastroenterology.2023;[Epub]     CrossRef
  • Evaluation of Left Ventricular Function in Diabetes Patients with Microvascular Disease by Three-Dimensional Speckle Tracking Imaging
    青 周
    Advances in Clinical Medicine.2023; 13(12): 18908.     CrossRef
  • Validity of the diagnosis of diabetic microvascular complications in Korean national health insurance claim data
    Hyung Jun Kim, Moo-Seok Park, Jee-Eun Kim, Tae-Jin Song
    Annals of Clinical Neurophysiology.2022; 24(1): 7.     CrossRef
  • Metformin plus a low hypoglycemic risk antidiabetic drug vs. metformin monotherapy for untreated type 2 diabetes mellitus: A meta-analysis of randomized controlled trials
    Wei-Tse Hung, Yuan-Jung Chen, Chun-Yu Cheng, Bruce Ovbiagele, Meng Lee, Chia-Yu Hsu
    Diabetes Research and Clinical Practice.2022; 189: 109937.     CrossRef
  • Peripheral arterial disease progression and ankle brachial index: a cohort study with newly diagnosed patients with type 2 diabetes
    João Soares Felício, Franciane Trindade Cunha de Melo, Giovana Miranda Vieira, Vitória Teixeira de Aquino, Fernanda de Souza Parente, Wanderson Maia da Silva, Nivin Mazen Said, Emanuele Rocha da Silva, Ana Carolina Contente Braga de Souza, Maria Clara Ner
    BMC Cardiovascular Disorders.2022;[Epub]     CrossRef
  • Association of long-term visit-to-visit variability of HbA1c and fasting glycemia with hypoglycemia in type 2 diabetes mellitus
    Chen Long, Yaling Tang, Jiangsheng Huang, Suo Liu, Zhenhua Xing
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • The Degree of Glycemic Control for the First Three Months Determines the Next Seven Years
    Nami Lee, Dae Jung Kim
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
  • Inhibition of advanced glycation end products and protein oxidation by leaf extracts and phenolics from Chilean bean landraces
    Felipe Ávila, Nadia Cruz, Jazmin Alarcon-Espósito, Nélida Nina, Hernán Paillan, Katherine Márquez, Denis Fuentealba, Alberto Burgos-Edwards, Cristina Theoduloz, Carmina Vejar-Vivar, Guillermo Schmeda-Hirschmann
    Journal of Functional Foods.2022; 98: 105270.     CrossRef
  • Mediation Effect of Self-Efficacy Between Health Beliefs and Glycated Haemoglobin Levels in Elderly Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Study
    Anqi Zhang, Jinsong Wang, Xiaojuan Wan, Jing Zhang, Zihe Guo, Yamin Miao, Shuhan Zhao, Shuo Bai, Ziyi Zhang, Weiwei Yang
    Patient Preference and Adherence.2022; Volume 16: 3015.     CrossRef
  • Early Glycosylated Hemoglobin Target Achievement Predicts Clinical Outcomes in Patients with Newly Diagnosed Type 2 Diabetes Mellitus
    Joonyub Lee, Jae Hyoung Cho
    Diabetes & Metabolism Journal.2021; 45(3): 337.     CrossRef
  • Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study (Diabetes Metab J 2021;45:368-78)
    Ja Young Jeon
    Diabetes & Metabolism Journal.2021; 45(4): 613.     CrossRef
  • Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study (Diabetes Metab J 2021;45:368-78)
    Kyoung Jin Kim, Jimi Choi, Jae Hyun Bae, Kyeong Jin Kim, Hye Jin Yoo, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim, Nam Hoon Kim
    Diabetes & Metabolism Journal.2021; 45(4): 617.     CrossRef
  • Plasma Nesfatin-1: Potential Predictor and Diagnostic Biomarker for Cognitive Dysfunction in T2DM Patient
    Dandan Xu, Yue Yu, Yayun Xu, Jinfang Ge
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 3555.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer
TOP