• KAFM
  • Contact us
  • E-Submission
ABOUT
ARTICLE CATEGORY
BROWSE ARTICLES
AUTHOR INFORMATION

Page Path

2
results for

"Diabetes Mellitus, Type 2"

Filter

Article category

Keywords

Publication year

Authors

"Diabetes Mellitus, Type 2"

Original Articles
Influence of Facial Flushing on Pre- or Type 2 Diabetes Risk according to Alcohol Consumption in Korean Male
Jihan Kim, Jong Sung Kim, Sung-Soo Kim, Jin-Gyu Jung, Seok-Jun Yoon, Yu-Ri Seo, Sami Lee, Yoon-Kyung Bae, Won-Jin Lee
Korean J Fam Med 2020;41(3):153-160.   Published online May 20, 2020
DOI: https://doi.org/10.4082/kjfm.18.0120
Background
This study aims to examine the association between alcohol consumption and the risk of pre- or type 2 diabetes mellitus (T2DM) by alcohol-induced flushing response in Korean male adults, particularly based on their body mass index (BMI).
Methods
This study selected 1,030 (158 non-drinkers, 364 flushers, and 508 non-flushers) male adults who had medical checkups. A logistic regression analysis was used to compare the association between alcohol consumption and the risk of pre- or T2DM.
Results
In both the normal-weight group (BMI <23 kg/m2) and the overweight group (BMI ≥23 kg/m2 and <25 kg/ m2), the flushers had a higher risk of pre- or T2DM (odds ratio, 95% confidence interval) when consuming more than 8 drinks of alcohol per week than the non-drinkers (normal-weight group: 3.43, 1.06–11.07; overweight group: 4.94, 1.56–15.67). But in the non-flushers among the normal-weight group and the overweight group, there was no significant difference compared to non-drinkers regarding the risk of pre- or T2DM. Obese flushers had a significantly higher risk of pre- or T2DM when consuming more than 4 drinks of alcohol per week than the non-drinkers (>4 and ≤8 drinks: 2.64, 1.10–6.36; >8 drinks: 2.42, 1.11–5.27). However, obese non-flushers had only a significant higher risk of pre- or T2DM when consuming more than 8 drinks of alcohol per week than the non-drinkers (2.72, 1.39–5.30)
Conclusion
These results suggest that obese flushers have an increased risk of developing pre- or T2DM even with less alcohol consumption.

Citations

Citations to this article as recorded by  
  • Epidemiologic relationship between alcohol flushing and smoking in the Korean population: the Korea National Health and Nutrition Examination Survey
    Hwa Jung Yook, Gyu-Na Lee, Ji Hyun Lee, Kyungdo Han, Young Min Park
    Scientific Reports.2024;[Epub]     CrossRef
  • Current Status of Korean Alcohol Drinking in Accordance with the Korean Alcohol Guidelines for Moderate Drinking Based on Facial Flushing
    Sami Lee, Jihan Kim, Jong Sung Kim
    Korean Journal of Family Medicine.2023; 44(3): 129.     CrossRef
  • Association between alcohol intake and overweight and obesity: a systematic review and dose-response meta-analysis of 127 observational studies
    Mahdieh Golzarand, Asma Salari-Moghaddam, Parvin Mirmiran
    Critical Reviews in Food Science and Nutrition.2022; 62(29): 8078.     CrossRef
  • Alcohol and Testosterone Deficiency in People Who Experience Facial Flushes
    Jungun Lee
    Korean Journal of Family Medicine.2022; 43(6): 345.     CrossRef
  • Relationship between Alcohol Consumption and Testosterone Deficiency according to Facial Flushes among Middle-Aged and Older Korean Men
    Kyungmi Koh, Sung Soo Kim, Jong-Sung Kim, Jin-Gyu Jung, Seok-Joon Yoon, Won Yoon Suh, Hyun Gu Kim, Namhee Kim
    Korean Journal of Family Medicine.2022; 43(6): 381.     CrossRef
  • Does the Risk for Diabetes Related with Alcohol Drinking Depend on Facial Flushing?
    Soo Young Kim
    Korean Journal of Family Medicine.2020; 41(3): 137.     CrossRef
  • 4,868 View
  • 140 Download
  • 5 Web of Science
  • 6 Crossref
Comparison of the Framingham Risk Score, UKPDS Risk Engine, and SCORE for Predicting Carotid Atherosclerosis and Peripheral Arterial Disease in Korean Type 2 Diabetic Patients
Hye-Ran Ahn, Min-Ho Shin, Woo-Jun Yun, Hye-Yeon Kim, Young-Hoon Lee, Sun-Seog Kweon, Jung-Ae Rhee, Jin-Su Choi, Seong-Woo Choi
Korean J Fam Med 2011;32(3):189-196.   Published online March 31, 2011
DOI: https://doi.org/10.4082/kjfm.2011.32.3.189
Background

To compare the predictability of the Framingham Risk Score (FRS), United Kingdom Prospective Diabetes Study (UKPDS) risk engine, and the Systematic Coronary Risk Evaluation (SCORE) for carotid atherosclerosis and peripheral arterial disease in Korean type 2 diabetic patients.

Methods

Among 1,275 registered type 2 diabetes patients in the health center, 621 subjects with type 2 diabetes participated in the study. Well-trained examiners measured the carotid intima-media thickness (IMT), carotid plaque, and ankle brachial index (ABI). The subject's 10-year risk of coronary heart disease was calculated according to the FRS, UKPDS, and SCORE risk scores. These three risk scores were compared to the areas under the curve (AUC).

Results

The odds ratios (ORs) of all risk scores increased as the quartiles increased for plaque, IMT, and ABI. For plaque and IMT, the UKPDS risk score provided the highest OR (95% confidence interval) at 3.82 (2.36, 6.17) and at 6.21 (3.37, 11.45). For ABI, the SCORE risk estimation provided the highest OR at 7.41 (3.20, 17.18). However, no significant difference was detected for plaque, IMT, or ABI (P = 0.839, 0.313, and 0.113, respectively) when the AUCs of the three risk scores were compared. When we graphed the Kernel density distribution of these three risk scores, UKPDS had a higher distribution than FRS and SCORE.

Conclusion

No significant difference was observed when comparing the predictability of the FRS, UKPDS risk engine, and SCORE risk estimation for carotid atherosclerosis and peripheral arterial disease in Korean type 2 diabetic patients.

Citations

Citations to this article as recorded by  
  • SCORE and SCORE2 in East Asian Population
    JungMin Choi, Soseul Sung, Sue K. Park, Seyong Park, Hyoyeong Kim, Myeong-Chan Cho, Bryan Williams, Hae-Young Lee
    JACC: Asia.2024; 4(4): 265.     CrossRef
  • Predictability of Cardiovascular Risk Scores for Carotid Atherosclerosis in Community-Dwelling Middle-Aged and Elderly Adults
    Chao-Liang Chou, Chun-Chieh Liu, Tzu-Wei Wu, Chun-Fang Cheng, Shu-Xin Lu, Yih-Jer Wu, Li-Yu Wang
    Journal of Clinical Medicine.2024; 13(9): 2563.     CrossRef
  • Determinação da Idade Vascular em Homens Através do Escore de Cálcio Coronariano e seu Impacto na Reestratificação do Risco Cardiovascular
    Ismael Polli, Neide Maria Bruscato, Protasio Lemos Da Luz, Douglas Dal Más Freitas, Angélica Oliveira de Almeida, Waldemar De Carli, Emilio Hideyuki Moriguchi
    Arquivos Brasileiros de Cardiologia.2023;[Epub]     CrossRef
  • Cardiovascular Biomarkers and Calculated Cardiovascular Risk in Orally Treated Type 2 Diabetes Patients: Is There a Link?
    Aleksandra Markova, Mihail Boyanov, Deniz Bakalov, Atanas Kundurdjiev, Adelina Tsakova
    Hormone and Metabolic Research.2021; 53(01): 41.     CrossRef
  • Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound
    Ankush D. Jamthikar, Deep Gupta, Luca Saba, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Naveed Sattar, Amer M. Johri, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, Vijay Viswanathan, Aditya Sharma, Georg
    Computers in Biology and Medicine.2020; 126: 104043.     CrossRef
  • Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study
    Narendra N. Khanna, Ankush D. Jamthikar, Deep Gupta, Andrew Nicolaides, Tadashi Araki, Luca Saba, Elisa Cuadrado-Godia, Aditya Sharma, Tomaz Omerzu, Harman S. Suri, Ajay Gupta, Sophie Mavrogeni, Monika Turk, John R. Laird, Athanasios Protogerou, Petros P.
    Computers in Biology and Medicine.2019; 105: 125.     CrossRef
  • Diabetic retinopathy as an independent predictor of subclinical cardiovascular disease: baseline results of the PRECISED study
    Rafael Simó, Jordi Bañeras, Cristina Hernández, José Rodríguez-Palomares, Filipa Valente, Laura Gutierrez, Teresa González-Alujas, Ignacio Ferreira, Santiago Aguadé-Bruix, Joan Montaner, Daniel Seron, Joan Genescà, Anna Boixadera, José García-Arumí, Aleja
    BMJ Open Diabetes Research & Care.2019; 7(1): e000845.     CrossRef
  • Cardiovascular risk estimated by UKPDS risk engine algorithm in diabetes
    Nebojsa Kavaric, Aleksandra Klisic, Ana Ninic
    Open Medicine.2018; 13(1): 610.     CrossRef
  • Estimation of cardiovascular risk and detection of subclinical carotid atheromatosis in patients with diabetes without a history of cardiovascular disease
    Walter Masson, Salvador De Francesca, Micaela Molinero, Daniel Siniawski, Andrés Mulassi, Frank Espinoza Morales, Melina Huerin, Martín Lobo, Graciela Molinero
    Archives of Endocrinology and Metabolism.2017; 61(2): 122.     CrossRef
  • Perceived and actual risk of cardiovascular disease in patients with rheumatoid arthritis in Korea
    Sunjoo Boo, Erika S. Froelicher, Ju-Hui Yun, Ye-Won Kim, Ju-Yang Jung, Chang-Hee Suh
    Medicine.2016; 95(40): e5117.     CrossRef
  • Impact of carotid atherosclerosis detection on physician and patient behavior in the management of type 2 diabetes mellitus: a prospective, observational, multicenter study
    In-Kyung Jeong, Sin-Gon Kim, Dong Hyeok Cho, Chong Hwa Kim, Chul Sik Kim, Won-Young Lee, Kyu-Chang Won, Doo-Man Kim
    BMC Cardiovascular Disorders.2016;[Epub]     CrossRef
  • 4,712 View
  • 29 Download
  • 11 Crossref
TOP