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"Glycated hemoglobin"

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"Glycated hemoglobin"

Original Articles
Glycated Hemoglobin and Cancer Risk in Korean Adults: Results from Korean Genome and Epidemiology Study
Ji Young Kim, Youn Sue Lee, Garam Jo, Min-Jeong Shin
Clin Nutr Res 2018;7(3):170-177.   Published online June 27, 2018
DOI: https://doi.org/10.7762/cnr.2018.7.3.170

The purpose of this study was to test whether elevated glycated hemoglobin A1c (HbA1c) levels are associated with cancer incidence in the Korean population. In cohorts of the Korea Genome and Epidemiology Study (KoGES) consortium, we tested whether plasma levels of HbA1c were associated with all-site cancer incidence in 7,822 participants without any known history of cancer or diabetes. Cancer developed in 117 participants during the follow-up period. Subjects were subdivided into 3 categories according observed levels of HbA1c (< 5.7%, low; ≥ 5.7% and < 6.5%, mid; and ≥ 6.5%, high). The adjusted hazard ratio for all-site cancer was 3.03 (95% confidence intervals, 1.54–5.96) for the high HbA1c group relative to the low HbA1c group after adjusting for covariates. Higher circulating HbA1c levels were associated with an increased risk of all-site cancer in Korean population.

Citations

Citations to this article as recorded by  
  • Insights on metabolic connections and interplay between cancer and diabetes: role of multi-target drugs
    Angeline Julius, Suresh Malakondaiah, Raghu Babu Pothireddy
    Discover Medicine.2025;[Epub]     CrossRef
  • Relationship between dietary sialic acid intake and serum HbA1c: a population-based study in Xiamen, China
    Zecheng Zhou, Wei Zhang, Xinyue Wang, Wanqiu Sha, Zhikun Xu, Hongwei Li, Jiale Huang
    Scientific Reports.2024;[Epub]     CrossRef
  • An Exploration of Shared Risk Factors for Coronary Artery Disease and Cancer from 109 Traits: The Evidence from Two-Sample Mendelian Randomization Studies
    Rong Xu, Rumeng Chen, Shuling Xu, Yining Ding, Tingjin Zheng, Chaoqun Ouyang, Xiaoming Ding, Linlin Chen, Wenzhou Zhang, Chenjin Ge, Sen Li
    Reviews in Cardiovascular Medicine.2024;[Epub]     CrossRef
  • Cancer and diabetes: the interlinking metabolic pathways and repurposing actions of antidiabetic drugs
    Ahmed Olatunde, Manisha Nigam, Rahul Kunwar Singh, Abhaya Shikhar Panwar, Abdulwahab Lasisi, Fahad A. Alhumaydhi, Vijay Jyoti kumar, Abhay Prakash Mishra, Javad Sharifi-Rad
    Cancer Cell International.2021;[Epub]     CrossRef
  • High-sensitivity C-reactive protein, hemoglobin A1c and breast cancer risk: a nested case–control study from Alberta’s Tomorrow Project cohort
    Tiffany R. Price, Christine M. Friedenreich, Paula J. Robson, Haocheng Li, Darren R. Brenner
    Cancer Causes & Control.2020; 31(12): 1057.     CrossRef
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This study aimed to compare the effects of activity-based personalized nutrition education (APNE) with a general instruction for diabetes (control, CTRL) in middle-aged and older Korean outpatients with type 2 diabetes. After an initial screening, 70 subjects were randomly assigned to APNE (n = 37) or CTRL (n = 33) group. APNE considered each patient’s anthropometry, blood chemistry data, and dietary habits in addition to planning meal choices with the aid of registered dietitians. After 3 months, dietary behavior, food intake, and anthropometric and blood measurement results were evaluated. Fasting blood glucose, 2-hour postprandial blood glucose, and glycated hemoglobin levels decreased in the APNE group (n = 33) but not in the CTRL group (n = 23). In the APNE group, the meal intervals and number of days of consuming high-fat food were decreased, while the number of days following a meal plan and balanced diet that entailed consuming fruits, vegetables, and healthy food was increased. A lower consumption of carbohydrates, saccharides, grains, and tuber crops and a higher protein, pulses, and fat-derived calorie intake compared with the initial values were observed in the APNE group. In contrast, only the number of days following the meal plan and balanced diet was increased in the CRTL group, without significantly changing the individual macronutrient-derived calorie intake. The APNE approach appeared to effectively educate outpatients with type 2 diabetes about changing their dietary behavior and food intake and improving the clinical parameters related to diabetic conditions.

Citations

Citations to this article as recorded by  
  • Effect of group-based nutritional education combined with individual standard care for outpatients with type 2 diabetes: study protocol for a randomized clinical trial {1}
    Aline Busanello, Vanessa Machado Menezes, Olivia Garbin Koller, Ândria Völz Andreia, Jussara Carnevale de Almeida
    Trials.2025;[Epub]     CrossRef
  • Dietitian‐supported dietary intervention leads to favorable dietary changes in patients with type 2 diabetes: A randomized controlled trial
    Nao Kawabata, Kenta Okada, Akihiko Ando, Tomoyuki Kurashina, Manabu Takahashi, Tetsuji Wakabayashi, Daisuke Nagata, Yukiko Arakawa, Atsuko Haga, Ayako Kogure, Madoka Chiba, Satsuki Mogi, Shizukiyo Ishikawa, Shun Ishibashi
    Journal of Diabetes Investigation.2022; 13(12): 1963.     CrossRef
  • The Effects of Dietary Education Interventions on Individuals with Type 2 Diabetes: A Systematic Review and Meta-Analysis
    Juri Kim, Myung-Haeng Hur
    International Journal of Environmental Research and Public Health.2021; 18(16): 8439.     CrossRef
  • Current Status and Effects of Dining with Diabetes in Korea and Abroad
    Seung Hye Yang
    The Journal of Korean Diabetes.2017; 18(2): 117.     CrossRef
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  • 4 Crossref
Glycated Hemoglobin is a Better Predictor than Fasting Glucose for Cardiometabolic Risk in Non-diabetic Korean Women
So Ra Yoon, Jae Hyang Lee, Ga Yoon Na, Yu Jeong Seo, Seongho Han, Min-Jeong Shin, Oh Yoen Kim
Clin Nutr Res 2015;4(2):97-103.   Published online April 24, 2015
DOI: https://doi.org/10.7762/cnr.2015.4.2.97

This study aimed to investigate if glycated hemoglobin (HgbA1C) as compared to fasting blood glucose is better for reflecting cardiometabolic risk in non-diabetic Korean women. Fasting glucose, HgbA1C and lipid profiles were measured in non-diabetic women without disease (n = 91). The relationships of fasting glucose or HgbA1C with anthropometric parameters, lipid profiles, and liver and kidney functions were analyzed. Both fasting glucose and HgbA1C were negatively correlated with HDL-cholesterol (r = -0.287, p = 0.006; r = -0.261, p = 0.012), and positively correlated with age (r = 0.202, p = 0.008; r = 0.221, p = 0.035), waist circumference (r = 0.296, p = 0.005; r = 0.304, p = 0.004), diastolic blood pressure (DBP) (r = 0.206, p = 0.050; r = 0.225, p = 0.032), aspartate transaminase (AST) (r = 0.237, p = 0.024; r = 0.368, p < 0.0001), alanine transaminase (ALT) (r = 0.296, p = 0.004; r = 0.356, p = 0.001), lipid profiles including triglyceride (r = 0.372, p < 0.001; r = 0.208, p = 0.008), LDL-cholesterol (r = 0.315, p = 0.002; r = 0.373, p < 0.0001) and total cholesterol (r = 0.310, p = 0.003; r = 0.284, p = 0.006). When adjusted for age and body mass index, significant relationships of DBP (r = 0.190, p = 0.049), AST (r = 0.262, p = 0.018), ALT (r = 0.277, p = 0.012), and HDL-cholesterol (r = -0.202, p = 0.049) with HgbA1C were still retained, but those with fasting glucose disappeared. In addition, the adjusted relationships of LDL-cholesterol and total cholesterol with HgbA1C were much greater than those with fasting glucose. These results suggest that glycated hemoglobin may be a better predictor than fasting glucose for cardiometabolic risk in non-diabetic Korean women.

Citations

Citations to this article as recorded by  
  • Factors related to reversal of prediabetes in patients from a cardiovascular risk program during 2019 - 2023
    Wilfredo Antonio Rivera-Martínez, Aura María Salazar-Solarte, Diana Marcela Sánchez-Machado, Lunévar Figueroa Torregrosa, Robinson Pacheco, Yesit Bolaños-Moreno, María Eugenia Casanova-Valderrama
    Cardiovascular Diabetology – Endocrinology Reports.2025;[Epub]     CrossRef
  • School Segregation and Health Across Racial Groups: A Life Course Study
    Amy Yunyu Chiang, Gabriel Schwartz, Rita Hamad
    Journal of Adolescent Health.2024; 75(2): 323.     CrossRef
  • Glycative Stress, Glycated Hemoglobin, and Atherogenic Dyslipidemia in Patients with Hyperlipidemia
    Chien-An Yao, Tsung-Yi Yen, Sandy Huey-Jen Hsu, Ta-Chen Su
    Cells.2023; 12(4): 640.     CrossRef
  • Effects of Non-periodized and Linear Periodized Combined Exercise Training on Insulin Resistance Indicators in Adults with Obesity: A Randomized Controlled Trial
    Anne Ribeiro Streb, Larissa dos Santos Leonel, Rodrigo Sudatti Delevatti, Cláudia Regina Cavaglieri, Giovani Firpo Del Duca
    Sports Medicine - Open.2021;[Epub]     CrossRef
  • Diabetes, Glycated Hemoglobin, and Risk of Cancer in the UK Biobank Study
    Rita Peila, Thomas E. Rohan
    Cancer Epidemiology, Biomarkers & Prevention.2020; 29(6): 1107.     CrossRef
  • Glycated Hemoglobin and Cancer Risk in Korean Adults: Results from Korean Genome and Epidemiology Study
    Ji Young Kim, Youn Sue Lee, Garam Jo, Min-Jeong Shin
    Clinical Nutrition Research.2018; 7(3): 170.     CrossRef
  • Roles of microRNA-124a and microRNA-30d in breast cancer patients with type 2 diabetes mellitus
    Shu Zhang, Ling-Ji Guo, Gang Zhang, Ling-Li Wang, Shuai Hao, Bo Gao, Yan Jiang, Wu-Guo Tian, Xian-E Cao, Dong-Lin Luo
    Tumor Biology.2016; 37(8): 11057.     CrossRef
  • 305 View
  • 0 Download
  • 7 Crossref