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Steven E. Kahn  (Kahn SE) 4 Articles
Metabolic Risk/Epidemiology
Intra-Abdominal Fat and High Density Lipoprotein Cholesterol Are Associated in a Non-Linear Pattern in Japanese-Americans
Sun Ok Song, You-Cheol Hwang, Steven E. Kahn, Donna L. Leonetti, Wilfred Y. Fujimoto, Edward J. Boyko
Diabetes Metab J. 2020;44(2):277-285.   Published online March 10, 2020
DOI: https://doi.org/10.4093/dmj.2019.0008
  • 5,296 View
  • 71 Download
  • 4 Web of Science
  • 5 Crossref
AbstractAbstract PDFPubReader   
Background

We describe the association between high density lipoprotein cholesterol (HDL-C) concentration and computed tomography (CT)-measured fat depots.

Methods

We examined the cross-sectional associations between HDL-C concentration and intra-abdominal (IAF), abdominal subcutaneous (SCF), and thigh fat (TF) areas in 641 Japanese-American men and women. IAF, SCF, and TF were measured by CT at the level of the umbilicus and mid-thigh. The associations between fat area measurements and HDL-C were examined using multivariate linear regression analysis adjusting for age, sex, diabetes family history, homeostasis model assessment of insulin resistance (HOMA-IR), and body mass index (BMI). Non-linearity was assessed using fractional polynomials.

Results

Mean±standard deviation of HDL-C concentration and IAF in men and women were 1.30±0.34 mg/dL, 105±55.3 cm2, and 1.67±0.43 mg/dL, 74.4±46.6 cm2 and differed significantly by gender for both comparisons (P<0.001). In univariate analysis, HDL-C concentration was significantly associated with CT-measured fat depots. In multivariate analysis, IAF was significantly and non-linearly associated with HDL-C concentration adjusted for age, sex, BMI, HOMA-IR, SCF, and TF (IAF: β=−0.1012, P<0.001; IAF2: β=0.0008, P<0.001). SCF was also negatively and linearly associated with HDL-C (β=−0.4919, P=0.001).

Conclusion

HDL-C does not linearly decline with increasing IAF in Japanese-Americans. A more complex pattern better fits this association.

Citations

Citations to this article as recorded by  
  • Associations of Serum Uric Acid to High-Density Lipoprotein Cholesterol Ratio with Trunk Fat Mass and Visceral Fat Accumulation
    Yansu Wang, Yiting Xu, Tingting Hu, Yunfeng Xiao, Yufei Wang, Xiaojing Ma, Haoyong Yu, Yuqian Bao
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 121.     CrossRef
  • Impact of the COVID-19 Pandemic on Obesity, Metabolic Parameters and Clinical Values in the South Korean Adult Population
    Anna Kim, Eun-yeob Kim, Jaeyoung Kim
    Journal of Clinical Medicine.2024; 13(10): 2814.     CrossRef
  • Obesity-related parameters in carriers of some BDNF genetic variants may depend on daily dietary macronutrients intake
    Urszula Miksza, Edyta Adamska-Patruno, Witold Bauer, Joanna Fiedorczuk, Przemyslaw Czajkowski, Monika Moroz, Krzysztof Drygalski, Andrzej Ustymowicz, Elwira Tomkiewicz, Maria Gorska, Adam Kretowski
    Scientific Reports.2023;[Epub]     CrossRef
  • Computed tomography-based investigation of the correlation of abdominal fat areas with metabolic syndrome
    Kai-Yuan Cheng, Tsung-Hsien Yen, Jay Wu, Pei-Hsuan Li, Tian-Yu Shih
    Journal of Radiological Science.2023; 48(1): 15.     CrossRef
  • Lower High-Density Lipoprotein Cholesterol Concentration Is Independently Associated with Greater Future Accumulation of Intra-Abdominal Fat
    Sun Ok Song, You-Cheol Hwang, Han Uk Ryu, Steven E. Kahn, Donna L. Leonetti, Wilfred Y. Fujimoto, Edward J. Boyko
    Endocrinology and Metabolism.2021; 36(4): 835.     CrossRef
Obesity and Metabolic Syndrome
Higher High Density Lipoprotein 2 (HDL2) to Total HDL Cholesterol Ratio Is Associated with a Lower Risk for Incident Hypertension
You-Cheol Hwang, Wilfred Y. Fujimoto, Steven E. Kahn, Donna L. Leonetti, Edward J. Boyko
Diabetes Metab J. 2019;43(1):114-122.   Published online September 28, 2018
DOI: https://doi.org/10.4093/dmj.2018.0053
  • 4,923 View
  • 49 Download
  • 9 Web of Science
  • 12 Crossref
AbstractAbstract PDFPubReader   
Background

Recent studies have suggested that high density lipoprotein (HDL) cholesterol is inversely associated with the development of hypertension. We aimed to determine the association between different HDL cholesterol subclasses and risk of future hypertension.

Methods

A total of 270 Japanese Americans (130 men, 140 women) without hypertension between the ages of 34 to 75 years were enrolled. Blood pressure was measured with a mercury sphygmomanometer, and average blood pressure was calculated. Incident hypertension was determined 5 to 6 and 10 to 11 years after enrollment. HDL2, HDL3, and total HDL cholesterol were measured at baseline.

Results

During 10 years of follow-up, the cumulative incidence of hypertension was 28.1% (76/270). In univariate analysis, age, diabetes, waist circumference, systolic and diastolic blood pressure, fasting glucose, insulin resistance index, total and low density lipoprotein cholesterol, and visceral adipose tissue were significant predictors for incident hypertension. Among the HDL cholesterol subclass, HDL2 cholesterol was inversely associated with hypertension incidence, but both total and HDL3 cholesterol were not. In addition, HDL2/HDL cholesterol was inversely associated with future hypertension risk. In multivariate analysis, age (odds ratio [OR], 1.71; 95% confidence interval [CI], 1.26 to 2.31; P=0.001), systolic blood pressure (OR, 1.83; 95% CI, 1.31 to 2.56; P<0.001), and HDL2/HDL cholesterol (OR, 0.71; 95% CI, 0.52 to 0.98; P=0.035), were associated with future development of hypertension.

Conclusion

A higher proportion of HDL2 cholesterol among total HDL cholesterol predicted a lower risk for incident hypertension. However, concentrations of total HDL, HDL2, and HDL3 cholesterol were not independent predictors of incident hypertension.

Citations

Citations to this article as recorded by  
  • The Association of HDL2b with Metabolic Syndrome Among Normal HDL-C Populations in Southern China
    Tong Chen, Shiquan Wu, Ling Feng, SiYu Long, Yu Liu, WenQian Lu, Wenya Chen, Guoai Hong, Li Zhou, Fang Wang, Yuechan Luo, Hequn Zou
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 363.     CrossRef
  • Long-term PM1 exposure and hypertension hospitalization: A causal inference study on a large community-based cohort in South China
    Yuqin Zhang, Shirui Chen, Jing Wei, Jie Jiang, Xiao Lin, Ying Wang, Chun Hao, Wenjing Wu, Zhupei Yuan, Jie Sun, Han Wang, Zhicheng Du, Wangjian Zhang, Yuantao Hao
    Science Bulletin.2024; 69(9): 1313.     CrossRef
  • High-Density Lipoprotein Signaling via Sphingosine-1-Phosphate Receptors Safeguards Spontaneously Hypertensive Rats against Myocardial Ischemia/Reperfusion Injury
    Aishah Al-Jarallah, Fawzi A. Babiker
    Pharmaceutics.2024; 16(4): 497.     CrossRef
  • The association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and prevalence of urinary stones in US adults: a cross-sectional NHANES study
    Heng Liu, Yu Zhou, Mingchu Jin, Haidong Hao, Yutang Yuan, Hongtao Jia
    International Urology and Nephrology.2024;[Epub]     CrossRef
  • Relationship Between the High Blood Pressure and Cholesterol in the Women
    Noor Nemia Hafed
    European Journal of Theoretical and Applied Sciences.2024; 2(4): 538.     CrossRef
  • Effects of cardiometabolic risk factors on blood pressure in outpatients at Sominé DOLO hospital, Mopti, Mali
    Modibo Coulibaly, Adama Kondé, Djibril Traoré, Ousmane Bah, Valentin Sagara, Bakary Maiga
    International Journal of Clinical Biochemistry and Research.2023; 10(1): 87.     CrossRef
  • The association of lipid metabolism with bone metabolism and the role of human traits: a Mendelian randomization study
    Jian Kang, Shuangli Zhao, Xize Wu, Can Wang, Zongkun Jiang, Shixuan Wang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • The role of different lipid measures for incident hypertension during more than 12-year follow-up: Tehran Lipid and Glucose Study
    Amirreza Hadaegh, Samaneh Akbarpour, Maryam Tohidi, Niloofar Barzegar, Somayeh Hosseinpour-Niazi, Fereidoun Azizi, Farzad Hadaegh
    British Journal of Nutrition.2022; 128(9): 1700.     CrossRef
  • High Density Lipoprotein Reduces Blood Pressure and Protects Spontaneously Hypertensive Rats Against Myocardial Ischemia-Reperfusion Injury in an SR-BI Dependent Manner
    Aishah Al-Jarallah, Fawzi Babiker
    Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
  • Association between the Uric Acid to High Density Lipoprotein Cholesterol Ratio and Systolic Pressure in Chinese Short Stature Children and Adolescents
    广欣 李
    Advances in Clinical Medicine.2022; 12(09): 8266.     CrossRef
  • Associations Between Peripheral Blood Microbiome and the Risk of Hypertension
    Yang Jing, Hui Zhou, Honghong Lu, Xiaofang Chen, Liangyue Zhou, Jingqi Zhang, Jing Wu, Chen Dong
    American Journal of Hypertension.2021; 34(10): 1064.     CrossRef
  • How was the Diabetes Metabolism Journal added to MEDLINE?
    Hye Jin Yoo
    Science Editing.2020; 7(2): 201.     CrossRef
Epidemiology
Association of Thigh Muscle Mass with Insulin Resistance and Incident Type 2 Diabetes Mellitus in Japanese Americans
Seung Jin Han, Edward J. Boyko, Soo-Kyung Kim, Wilfred Y. Fujimoto, Steven E. Kahn, Donna L. Leonetti
Diabetes Metab J. 2018;42(6):488-495.   Published online September 5, 2018
DOI: https://doi.org/10.4093/dmj.2018.0022
  • 5,170 View
  • 78 Download
  • 36 Web of Science
  • 36 Crossref
AbstractAbstract PDFPubReader   
Background

Skeletal muscle plays a major role in glucose metabolism. We investigated the association between thigh muscle mass, insulin resistance, and incident type 2 diabetes mellitus (T2DM) risk. In addition, we examined the role of body mass index (BMI) as a potential effect modifier in this association.

Methods

This prospective study included 399 Japanese Americans without diabetes (mean age 51.6 years) who at baseline had an estimation of thigh muscle mass by computed tomography and at baseline and after 10 years of follow-up a 75-g oral glucose tolerance test and determination of homeostasis model assessment of insulin resistance (HOMA-IR). We fit regression models to examine the association between thigh muscle area and incidence of T2DM and change in HOMA-IR, both measured over 10 years.

Results

Thigh muscle area was inversely associated with future HOMA-IR after adjustment for age, sex, BMI, HOMA-IR, fasting plasma glucose, total abdominal fat area, and thigh subcutaneous fat area at baseline (P=0.033). The 10-year cumulative incidence of T2DM was 22.1%. A statistically significant interaction between thigh muscle area and BMI was observed, i.e., greater thigh muscle area was associated with lower risk of incident T2DM for subjects at lower levels of BMI, but this association diminished at higher BMI levels.

Conclusion

Thigh muscle mass area was inversely associated with future insulin resistance. Greater thigh muscle area predicts a lower risk of incident T2DM for leaner Japanese Americans.

Citations

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  • Shape phenotype of thigh fat and muscle and risk of major adverse cardiovascular events after fragility hip fracture
    Sheen‐Woo Lee, Seung‐Chan Kim, Jeong‐Eun Yi
    Journal of Cachexia, Sarcopenia and Muscle.2024; 15(1): 331.     CrossRef
  • CD36 gene variant rs1761667(G/A) as a biomarker in obese type 2 diabetes mellitus cases
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    Egyptian Journal of Medical Human Genetics.2024;[Epub]     CrossRef
  • Association between macro- and microvascular damage and sarcopenia index in individuals with type 2 diabetes mellitus
    Hui Xu, Qun-Yan Xiang, Jun-Kun Zhan, Yi Wang, Yan-Jiao Wang, Shuang Li, You-Shuo Liu
    Applied Physiology, Nutrition, and Metabolism.2024; 49(6): 762.     CrossRef
  • MicroRNA‐29‐mediated cross‐talk between metabolic organs in the pathogenesis of diabetes mellitus and its complications: A narrative review
    Hassen Ahmed Yesuf, Meseret Derbew Molla, Tabarak Malik, Zeru Seyoum Wendimagegn, Yadelew Yimer
    Cell Biochemistry and Function.2024;[Epub]     CrossRef
  • Causality between sarcopenia and diabetic neuropathy
    Yi Fang, Xiaoqing Yuan, Qing Zhang, Juan Liu, Qing Yao, Xinhua Ye
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • More appendicular lean mass relative to body mass index is associated with lower incident diabetes in middle-aged adults in the CARDIA study
    Melanie S. Haines, Aaron Leong, Bianca C. Porneala, Victor W. Zhong, Cora E. Lewis, Pamela J. Schreiner, Karen K. Miller, James B. Meigs, Mercedes R. Carnethon
    Nutrition, Metabolism and Cardiovascular Diseases.2023; 33(1): 105.     CrossRef
  • Involvement of the fecal amino acid profile in a clinical and anthropometric study of Mexican patients with insulin resistance and type 2 diabetes mellitus
    Mayra Paloma Macías-Acosta, Lorena Valerdi-Contreras, Ericka Denise Bustos-Angel, Rudy Antonio García-Reyes, Monserrat Alvarez-Zavala, Marisela González-Ávila
    Amino Acids.2022; 54(1): 47.     CrossRef
  • Association of serum creatinine levels and risk of type 2 diabetes mellitus in Korea: a case control study
    Do Kyeong Song, Young Sun Hong, Yeon-Ah Sung, Hyejin Lee
    BMC Endocrine Disorders.2022;[Epub]     CrossRef
  • The Relationship Between Fat-Free Mass and Glucose Metabolism in Children and Adolescents: A Systematic Review and Meta-Analysis
    Lijun Wu, Fangfang Chen, Junting Liu, Dongqing Hou, Tao Li, Yiren Chen, Zijun Liao
    Frontiers in Pediatrics.2022;[Epub]     CrossRef
  • Is imaging-based muscle quantity associated with risk of diabetes? A meta-analysis of cohort studies
    Shanhu Qiu, Xue Cai, Yang Yuan, Bo Xie, Zilin Sun, Tongzhi Wu
    Diabetes Research and Clinical Practice.2022; 189: 109939.     CrossRef
  • Effects of Exercise Intervention on Type 2 Diabetes Patients With Abdominal Obesity and Low Thigh Circumference (EXTEND): Study Protocol for a Randomized Controlled Trial
    Dan Liu, Ying Zhang, Liang Wu, Jingyi Guo, Xiangtian Yu, Huasheng Yao, Rui Han, Tianshu Ma, Yuchan Zheng, Qiongmei Gao, Qichen Fang, Yan Zhao, Yanan Zhao, Biao Sun, Weiping Jia, Huating Li
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Association between diabetic peripheral neuropathy and sarcopenia: A systematic review and meta‐analysis
    Thapat Wannarong, Persen Sukpornchairak, Weerakit Naweera, Christopher D. Geiger, Patompong Ungprasert
    Geriatrics & Gerontology International.2022; 22(9): 785.     CrossRef
  • Synergistic Interaction between Hyperuricemia and Abdominal Obesity as a Risk Factor for Metabolic Syndrome Components in Korean Population
    Min Jin Lee, Ah Reum Khang, Yang Ho Kang, Mi Sook Yun, Dongwon Yi
    Diabetes & Metabolism Journal.2022; 46(5): 756.     CrossRef
  • HOMA-IR as a predictor of Health Outcomes in Patients with Metabolic Risk Factors: A Systematic Review and Meta-analysis
    José G. González-González, Jorge R. Violante-Cumpa, Miguel Zambrano-Lucio, Erick Burciaga-Jimenez, Patricia L. Castillo-Morales, Mariano Garcia-Campa, Ricardo César Solis, Alejandro D González-Colmenero, René Rodríguez-Gutiérrez
    High Blood Pressure & Cardiovascular Prevention.2022; 29(6): 547.     CrossRef
  • Maternal height as a predictor of glucose intolerance in the postpartum and its relationship with maternal pre-gestational weight
    Catarina Cidade-Rodrigues, Filipe M. Cunha, Catarina Chaves, Fabiana Castro, Catarina Pereira, Sílvia Paredes, Margarida Silva-Vieira, Anabela Melo, Odete Figueiredo, Cláudia Nogueira, Ana Morgado, Mariana Martinho, Maria C. Almeida, Margarida Almeida
    Archives of Gynecology and Obstetrics.2022; 307(2): 601.     CrossRef
  • Correlation of body composition in early pregnancy on gestational diabetes mellitus under different body weights before pregnancy
    Li Xintong, Xu Dongmei, Zhang Li, Cao Ruimin, Hao Yide, Cui Lingling, Chen Tingting, Guo Yingying, Li Jiaxin
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  • Relationship between low skeletal muscle mass, sarcopenic obesity and left ventricular diastolic dysfunction in Korean adults
    Jee Hee Yoo, Sung Woon Park, Ji Eun Jun, Sang‐Man Jin, Kyu Yeon Hur, Moon‐Kyu Lee, Mira Kang, Gyuri Kim, Jae Hyeon Kim
    Diabetes/Metabolism Research and Reviews.2021;[Epub]     CrossRef
  • Skeletal Muscle and Metabolic Health: How Do We Increase Muscle Mass and Function in People with Type 2 Diabetes?
    Ebaa Al-Ozairi, Dalal Alsaeed, Dherar Alroudhan, Nia Voase, Amal Hasan, Jason M R Gill, Naveed Sattar, Paul Welsh, Cindy M Gray, Jirapitcha Boonpor, Carlos Celis-Morales, Stuart R Gray
    The Journal of Clinical Endocrinology & Metabolism.2021; 106(2): 309.     CrossRef
  • Association of the triglyceride and glucose index with low muscle mass: KNHANES 2008–2011
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  • Relative associations of abdominal and thigh compositions with cardiometabolic diseases in African Caribbean men
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    Obesity Science & Practice.2021; 7(6): 738.     CrossRef
  • Changes in creatinine‐to‐cystatin C ratio over 4 years, risk of diabetes, and cardiometabolic control: The China Health and Retirement Longitudinal Study
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    Journal of Diabetes.2021; 13(12): 1025.     CrossRef
  • Associations Between Glucose Tolerance, Insulin Secretion, Muscle and Fat Mass in Cystic Fibrosis
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    Clinical Medicine Insights: Endocrinology and Diabetes.2021; 14: 117955142110382.     CrossRef
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    Ningjian Wang, Ying Sun, Haojie Zhang, Chi Chen, Yuying Wang, Jihui Zhang, Fangzhen Xia, Christian Benedict, Xiao Tan, Yingli Lu
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    Hye Jin Yoo
    Science Editing.2020; 7(2): 201.     CrossRef
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    Matthew S. Brook, Daniel J. Wilkinson, Philip J. Atherton
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    Marwa El‐Zeftawy, Samar Abd‐El Mohsen Ali, Sally Salah, Hani S. Hafez
    Journal of Food Biochemistry.2020;[Epub]     CrossRef
  • Dose‐response associations between serum creatinine and type 2 diabetes mellitus risk: A Chinese cohort study and meta‐analysis of cohort studies
    Pei Qin, Yanmei Lou, Liming Cao, Jing Shi, Gang Tian, Dechen Liu, Qionggui Zhou, Chunmei Guo, Quanman Li, Yang Zhao, Feiyan Liu, Xiaoyan Wu, Ranran Qie, Minghui Han, Shengbing Huang, Ping Zhao, Changyi Wang, Jianping Ma, Xiaolin Peng, Shan Xu, Hongen Chen
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    Vittorio Emanuele Bianchi
    Clinical Nutrition ESPEN.2020; 38: 50.     CrossRef
  • Association between the Thigh Muscle and Insulin Resistance According to Body Mass Index in Middle-Aged Korean Adults
    Ji Eun Heo, Jee-Seon Shim, Hokyou Lee, Hyeon Chang Kim
    Diabetes & Metabolism Journal.2020; 44(3): 446.     CrossRef
  • Joint impact of muscle mass and waist circumference on type 2 diabetes in Japanese middle‐aged adults: The Circulatory Risk in Communities Study (CIRCS)
    Mikako Yasuoka, Isao Muraki, Hironori Imano, Hiroshige Jinnouchi, Yasuhiko Kubota, Mina Hayama‐Terada, Mitsumasa Umesawa, Kazumasa Yamagishi, Tetsuya Ohira, Akihiko Kitamura, Takeo Okada, Masahiko Kiyama, Hiroyasu Iso
    Journal of Diabetes.2020; 12(9): 677.     CrossRef
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    M. Loredana Marcovecchio, Samantha Gorman, Laura P.E. Watson, David B. Dunger, Kathryn Beardsall
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  • Response: Association of Thigh Muscle Mass with Insulin Resistance and Incident Type 2 Diabetes Mellitus in Japanese Americans (Diabetes Metab J 2018;42:488–95)
    Seung Jin Han, Edward J. Boyko
    Diabetes & Metabolism Journal.2019; 43(1): 125.     CrossRef
  • Berberine chloride ameliorated PI3K/Akt‐p/SIRT‐1/PTEN signaling pathway in insulin resistance syndrome induced in rats
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  • Letter: Association of Thigh Muscle Mass with Insulin Resistance and Incident Type 2 Diabetes Mellitus in Japanese Americans (Diabetes Metab J 2018;42:488–95)
    Nan Hee Cho, Hye Soon Kim
    Diabetes & Metabolism Journal.2019; 43(1): 123.     CrossRef
  • Asian Indians With Prediabetes Have Similar Skeletal Muscle Mass and Function to Those With Type 2 Diabetes
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Epidemiology
Predictors of Incident Type 2 Diabetes Mellitus in Japanese Americans with Normal Fasting Glucose Level
You-Cheol Hwang, Wilfred Y. Fujimoto, Steven E. Kahn, Donna L. Leonetti, Edward J. Boyko
Diabetes Metab J. 2018;42(3):198-206.   Published online April 25, 2018
DOI: https://doi.org/10.4093/dmj.2017.0100
  • 3,743 View
  • 33 Download
  • 5 Web of Science
  • 3 Crossref
AbstractAbstract PDFPubReader   
Background

Little is known about the natural course of normal fasting glucose (NFG) in Asians and the risk factors for future diabetes.

Methods

A total of 370 Japanese Americans (163 men, 207 women) with NFG levels and no history of diabetes, aged 34 to 75 years, were enrolled. Oral glucose tolerance tests were performed at baseline, 2.5, 5, and 10 years after enrollment.

Results

During 10 years of follow-up, 16.1% of participants met criteria for diabetes diagnosis, and 39.6% of subjects still had NFG levels at the time of diabetes diagnosis. During 5 years of follow-up, age (odds ratio [OR], 1.05; 95% confidence interval [CI], 1.01 to 1.10; P=0.026) and family history of diabetes (OR, 3.24; 95% CI, 1.42 to 7.40; P=0.005) were independently associated with future diabetes diagnosis; however, fasting glucose level was not an independent predictor. During 10 years of follow-up, family history of diabetes (OR, 2.76; 95% CI, 1.37 to 5.54; P=0.004), fasting insulin level (OR, 1.01; 95% CI, 1.00 to 1.02; P=0.037), and fasting glucose level (OR, 3.69; 95% CI, 1.13 to 12.01; P=0.030) were associated with diabetes diagnosis independent of conventional risk factors for diabetes.

Conclusion

A substantial number of subjects with NFG at baseline still remained in the NFG range at the time of diabetes diagnosis. A family history of diabetes and fasting insulin and glucose levels were associated with diabetes diagnosis during 10 years of follow-up; however, fasting glucose level was not associated with diabetes risk within the relatively short-term follow-up period of 5 years in subjects with NFG.

Citations

Citations to this article as recorded by  
  • J-shape relationship between normal fasting plasma glucose and risk of type 2 diabetes in the general population: results from two cohort studies
    Linfeng He, Wenbin Zheng, Zeyu Li, Lu Chen, Wen Kong, Tianshu Zeng
    Journal of Translational Medicine.2023;[Epub]     CrossRef
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    Seung-Hwan Lee
    Diabetes & Metabolism Journal.2018; 42(3): 196.     CrossRef
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