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"Jae Hyang Lee"

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"Jae Hyang Lee"

Original Articles
[English]
Importance of Adherence to Personalized Diet Intervention in Obesity Related Metabolic Improvement in Overweight and Obese Korean Adults
Juhyun An, So Ra Yoon, Jae Hyang Lee, Hyunyoung Kim, Oh Yoen Kim
Clin Nutr Res 2019;8(3):171-183.   Published online July 25, 2019
DOI: https://doi.org/10.7762/cnr.2019.8.3.171

We investigated weight loss effect of personalized diet education in overweight/obese Korean adults. Overweight/obese Korean adults (body mass index [BMI] ≥ 23 kg/m2 or waist circumference [WC] ≥ 90 cm for men, ≥ 85 cm for women) were recruited, and 40 participants who completed the 10-week intervention were finally included in the analyses. At first visit, study participants (small group with individual counseling) were educated for optimal diet by clinical dietitian, and checked for their compliance through telephone/text message every 1–2 week during the intervention. Anthropometric and biochemical parameters and dietary intake were investigated. Body weight, BMI, WC, and body fat mass were significantly reduced in whole participants. Hemoglobin A1c, insulin, and low-density lipoprotein cholesterol were also significantly decreased after the intervention. Total energy intake (EI) during the intervention was not significantly decreased compared to the baseline value, but the proportions of energy derived from macronutrients were within the ranges recommended by 2015 Dietary Reference Intake for Koreans. Based on actual EI, participants were classified into high-adherence (HA) (prescribed EI ± 25%, n = 29), low-adherence I (LA-I) (< 75% of prescribed EI, n = 7), and low-adherence II (LA-II) group (> 125% of prescribed EI, n = 4). Only HA group showed significant improvements in anthropometric parameters, glycemic control and lipid profile. Interestingly, LA-I group showed significant increases in glucose, insulin, C-peptide and insulin resistance. In conclusion, a shift from overweight/obesity to healthy weight can be accomplished by high adherence to personalized diet modification, not by EI reduction.

Citations

Citations to this article as recorded by  
  • Adherence to Behavioral Weight Management: A Scoping Review of Definitions, Measurement, and Components
    Deng Wang, Miguel A. Rojo‐Tirado, Pedro J. Benito, Jacobo Á. Rubio‐Arias, Domingo J. Ramos‐Campo, Marta Moreira Marques
    Obesity Reviews.2025;[Epub]     CrossRef
  • The effectiveness of telemedicine in the prevention of type 2 diabetes mellitus: a systematic review and meta-analysis of interventions
    Laura Suhlrie, Raga Ayyagari, Camille Mba, Kjell Olsson, Harold Torres-Aparcana, Steven James, Elpida Vounzoulaki, Daniel B. Ibsen
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2025; 19(5): 103252.     CrossRef
  • Effects of the nutrition education intervention on food security, anthropometry, and body composition in women: A randomized controlled trial
    Marziyeh Ebadi-Vanestanagh, Roghayeh Molani-Gol, Mohammad Alizadeh
    Nutrition and Health.2025; 31(1): 91.     CrossRef
  • Evaluation of the impact of a family physician-led lifestyle clinic on overweight and obesity: A clustered randomized trial in Hail, Saudi Arabia
    Fakhralddin Abbas Elfakki, Meshari Yousef Aljamani, Marwa Mahmoud Mahdy, Adel Ahmed Al Zuhair, Mohammad Saleh Altamimi, Sultan Nais Alshammari, Nawaf Muneef Alshammari, Mashael Abdullah Al Aowisy, Wedad Mulayhan Alzabni
    Journal of Family Medicine and Primary Care.2025; 14(5): 2018.     CrossRef
  • Minor alleles in the FTO SNPs contributed to the increased risk of obesity among Korean adults: meta-analysis from nationwide big data-based studies
    Oh Yoen Kim, Jihyun Park, Jounghee Lee, Cheongmin Sohn, Mi Ock Yoon, Myoungsook Lee
    Nutrition Research and Practice.2023; 17(1): 62.     CrossRef
  • Concept of an Intervention for Sustainable Weight Loss in Postmenopausal Women with Overweight—Secondary Analysis of a Randomized Dietary Intervention Study
    Isabell Englert, Sarah Egert, Laura Hoffmann, Kathrin Kohlenberg-Müller
    Nutrients.2023; 15(14): 3250.     CrossRef
  • Machine Learning in Nutrition Research
    Daniel Kirk, Esther Kok, Michele Tufano, Bedir Tekinerdogan, Edith J M Feskens, Guido Camps
    Advances in Nutrition.2022; 13(6): 2573.     CrossRef
  • The effect of almond intake on glycemic control: A systematic review and dose–response meta‐analysis of randomized controlled trials
    Omid Asbaghi, Vihan Moodi, Azadeh Neisi, Mina Shirinbakhshmasoleh, Sajjad Abedi, Fatemeh Hosseini Oskouie, Elham Eslampour, Ehsan Ghaedi, Maryam Miraghajani
    Phytotherapy Research.2022; 36(1): 395.     CrossRef
  • Use of Edible, Medicinal, and Aromatic Plants in Various Health Disorders: A Cross-Sectional Evaluation among Inhabitants in the Area of Thrace, North-Eastern Greece
    Georgia-Eirini Deligiannidou, Chrysoula Kyrgou, Evangelia Nena, Vangelis G. Manolopoulos, Eugenia Bezirtzoglou, Christos A. Kontogiorgis, Theodoros C. Constantinidis
    International Journal of Environmental Research and Public Health.2022; 19(19): 12576.     CrossRef
  • High-Protein or Low Glycemic Index Diet—Which Energy-Restricted Diet Is Better to Start a Weight Loss Program?
    Ewa Waliłko, Małgorzata Napierała, Marta Bryśkiewicz, Aneta Fronczyk, Liliana Majkowska
    Nutrients.2021; 13(4): 1086.     CrossRef
  • The effect of grapes/grape products on glycemic response: A systematic review and meta‐analysis of randomized controlled trials
    Vihan Moodi, Sajjad Abedi, Mozhgan Esmaeilpour, Omid Asbaghi, Fatemeh Izadi, Mina Shirinbakhshmasoleh, Mahsa Behrouzian, Ali Shahriari, Ehsan Ghaedi, Maryam Miraghajani
    Phytotherapy Research.2021; 35(9): 5053.     CrossRef
  • Association between nutrients and metabolic syndrome in middle-aged Korean women
    Sul Lee, Hyun Joo Lee, Seung Chul Kim, Jong Kil Joo
    Archives of Endocrinology and Metabolism.2020; 64(3): 298.     CrossRef
  • Effects of Cynara scolymus L. on glycemic indices:A systematic review and meta-analysis of randomized clinical trials
    Cyrus Jalili, Sajjad Moradi, Atefeh Babaei, Behnoosh Boozari, Omid Asbaghi, Anastasia-Viktoria Lazaridi, Mohammad Ali Hojjati Kermani, Maryam Miraghajani
    Complementary Therapies in Medicine.2020; 52: 102496.     CrossRef
  • Reactive hypoglycemia – an interdisciplinary approach of the disease of XXI Century
    Marianna Hall, Magdalena Walicka, Iwona Traczyk
    Wiadomości Lekarskie.2020; 73(2): 384.     CrossRef
  • Impacts of Dietary Macronutrient Pattern on Adolescent Body Composition and Metabolic Risk: Current and Future Health Status—A Narrative Review
    Oh Yoen Kim, Eun Mi Kim, Sochung Chung
    Nutrients.2020; 12(12): 3722.     CrossRef
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[English]
Fasting Glucose is a Useful Indicator for Cerebrovascular Risk in Non-Diabetic Koreans: Association With Oxidative Stress and Inflammation
Jae Hyang Lee, So Ra Yoon, Ga Yoon Na, Mira Jun, Mok-Ryeon Ahn, Jae-Kwan Cha, Oh Yoen Kim
Clin Nutr Res 2016;5(1):33-42.   Published online January 29, 2016
DOI: https://doi.org/10.7762/cnr.2016.5.1.33

Diabetes and impaired fasting glucose are associated with incidence of cerebro-/cardio-vascular diseases. This study hypothesized that fasting glycemic status may reflect cerebrovascular risk in non-diabetic Koreans. Fasting glycemic status, lipid profiles, oxidative stress, and inflammation markers were measured in non-diabetic subjects (healthy controls, n = 112 and stroke n = 41). Systolic blood pressure, fasting glucose, glycated hemoglobin (HbA1C), triglycerides, high sensitivity C-reactive protein (hs-CPR), interleukin-6, and tumor necrosis factor-alpha were higher, and high density lipoprotein (HDL)-cholesterols were lower in patients with stroke than healthy controls. Fasting glucose positively correlated with hs-CRP, interleukin-6, tumor necrosis factor-alpha, oxidized low density lipoprotein (LDL) and malondialdehyde. The significances continued or at least turned to a trend after adjustments for confounding factors. Multiple regression analyses revealed that fasting glucose was mainly associated with cerebrovascular risk (β'-coefficient = 0.284, p < 0.0001) together with age, systolic blood pressure, total cholesterol, hs-CRP, body mass index, dietary poly unsaturated fatty acid/saturated fatty acid (PUFA/SFA), and HbA1C (r2 = 0.634, p = 0.044). The subjects were subdivided by their fasting glucose levels [normal fasting glucose: 70-99 mg/dL, n = 91 [NFG-control] and n = 27 [NFG-stroke]; higher fasting glucose: 100-125 mg/dL, n = 21 [HFG-control] and n = 14 [HFG-stroke]). In both controls and stroke patients, HFG groups show higher triglyceride, total- and LDL-cholesterol and lower HDL-cholesterol than NFG groups. Control-HFG group showed significantly higher levels of oxidative stress and inflammation than control-NFG group. Stroke-HFG group also showed significantly higher inflammatory levels than stroke-NFG group, moreover the highest among the groups. Additionally, stroke-NFG group consumed higher PUFA/SFA than stroke-HFG group. Fasting glucose may be a useful indicator for cerebrovascular risk in non-diabetic individuals which may be mediated by oxidative stress and inflammation status.

Citations

Citations to this article as recorded by  
  • Serum Wnt1-Inducible signalling pathway Protein-1 levels are associated with cerebral infarction in patients with type 2 diabetes mellitus
    Yan Zhu, Qionglei Fang, Yingyi Zhou, Wen Lu, Xuan Du, Bimin Shi
    Journal of Endocrinological Investigation.2025; 48(11): 2747.     CrossRef
  • Correlation Between Serum β2-GPI/oxLDL and the Risk of Cerebral Infarction in Patients with T2DM
    Wending Kuang, Yi Li, Gang Liu, Yang Zhang, Gang Chen, Bang Luo, Shuangyu Kuang
    Frontiers in Surgery.2022;[Epub]     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
  • Oxidized LDL but not total LDL is associated with HbA1c in individuals without diabetes
    Débora Spessatto, Liz Marina Bueno dos Passos Brum, Joíza Lins Camargo
    Clinica Chimica Acta.2017; 471: 171.     CrossRef
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[English]
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
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